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Environmental Microbiology (2003)
5
(7) 566ndash582
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd
Received 21 January 2003 accepted 27 February 2003 Forcorrespondence E-mail leventebodrossyarcsac Tel(
+
43) (0) 50550 3548 Fax (
+
43) (0) 50550 3444
Development and validation of a diagnostic microbial microarray for methanotrophs
Levente Bodrossy
1
Nancy Stralis-Pavese
1
J Colin Murrell
2
Stefan Radajewski
2
Alexandra Weilharter
1
and Angela Sessitsch
1
1
Department of Biotechnology Division of Life and Environmental Sciences ARC Seibersdorf research GmbH A-2444 Seibersdorf Austria
2
Department of Biological Sciences University of Warwick Coventry CV4 7AL UK
Summary
The potential of DNA microarray technology in high-throughput detection of bacteria and quantitativeassessment of their community structures is widelyacknowledged but has not been fully realised yet Agenerally applicable set of techniques based onreadily available technologies and materials wasdeveloped for the design production and applicationof diagnostic microbial microarrays A microarraytargeting the particulate methane monooxygenase(
pmoA
) gene was developed for the detection andquantification of methanotrophs and functionallyrelated bacteria A microarray consisting of a set of59 probes that covers the whole known diversity ofthese bacteria was validated with a representative setof extant strains and environmental clones Thepotential of the
pmoA
microarray was tested withenvironmental samples The results were in goodagreement with those of clone library sequence anal-yses The approach can currently detect less domi-nant bacteria down to 5 of the total communitytargeted Initial tests assessing the quantificationpotential of this system with artificial PCR mixturesshowed very good correlation with the expectedresults with standard deviations in the range of 04ndash172 Quantification of environmental samples withthis method requires the design of a reference mix-ture consisting of very close relatives of the strainswithin the sample and is currently limited by biasesinherent in environmental DNA extraction and univer-sal PCR amplification
Introduction
Methanotrophs are bacteria capable of utilizing methaneas their sole source of carbon and energy They are ubiq-uitous in nature and represent the largest biogenic sinkfor the greenhouse gas methane They oxidize methanevia methanol and formaldehyde to carbon dioxide or incor-porate carbon from methane into cell biomass at the oxi-dation level of formaldehyde The first step in the pathwayis catalysed by one of the two types of the enzyme meth-ane monooxygenase (MMO) The soluble MMO is foundin only some of these bacteria whereas the particulateMMO (pMMO) is present in all known methanotrophs(Hanson and Hanson 1996) except for one
Methylocellapalustris
(Dedysh
et al
2000) The sequence of the
pmoA
gene encoding the 27 kDa subunit of pMMO has beenshown to reflect evolutionary relationships amongst thecarrying organisms The ammonia monooxygenase(AMO) of autotrophic ammonia oxidizing bacteria (AOB)is evolutionarily related to pMMO and
pmoA
the geneencoding for the corresponding subunit of the AMO has ahigh degree of identity with
amoA
genes (McDonald andMurrell 1997) Both
pmo
A and
amo
A genes can bepresent in one to three generally highly similar copies inthe genomes of methane and ammonia oxidisers (McTav-ish
et al
1993 Semrau
et al
1995 Purkhold
et al
2000Bourne
et al
2001) There are
pmoA
amoA
related genescloned from environmental samples where the nature ofthe encoded enzyme is not clear (Holmes
et al
1999Henckel
et al
2000a Bourne
et al
2001) There is arapidly growing database (with over 700 entries) of
pmoA
amoA
and related gene sequences from cultivated strainsand lsquoenvironmentalrsquo clones retrieved directly from the envi-ronment by PCR Methanotrophs play an essential role inmitigating the greenhouse effect by metabolizing most ofthe biogenically produced methane Understanding thefactors influencing their diversity is thus of crucial impor-tance Denaturating gradient gel electrophoresis (DGGE)and clone library analysis have been used to monitorseasonal changes in methanotroph diversity or changesinduced by environmental impacts such as drainage oraeration (Henckel
et al
2000b Henckel
et al
2001Reay
et al
2001) The most comprehensive oligonucle-otide probe set for methanotrophs so far was designed byGulledge
et al
(2001) and targeted the 16S rRNA geneDNA microarrays are a powerful tool for the parallel
high-throughput detection and quantification of many
Diagnostic microarray for methanotrophs
567
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd
Environmental Microbiology
5
566ndash582
genes Originally developed for whole genome geneexpression analyses (Schena
et al
1996 Tao
et al
1999) DNA microarrays have very strong applicationpotential in many areas of microbiology Upon availabilityof corresponding probe sets they enable the detection ofup to several thousand microbial strains species generaor higher clades (depending on the design of the probe)in a single assay In clinical veterinary and plant microbi-ology food and water quality control this means that asingle test can be developed to detect all pathogenicbeneficialcontaminating bacteria which might be presentin the sample being investigated The potential for envi-ronmental microbiology is even stronger By applyingnested sets of oligonucleotide probes (Behr
et al
2000)which target genes reflecting the phylogeny of the targetorganism it becomes possible to assess the wholeprokaryotic diversity of an environment The most obvioustarget for such studies are the 16S and 23S rRNA genesOther (often referred to as lsquofunctionalrsquo ie encoding forrelated enzymes carrying out a defined function) possibletarget genes can also be used at least for a physiologi-cally restricted group of microorganisms The applicationof functional genes narrows down the analysis to a func-tionally (sometimes also phylogenetically) defined groupof microbes The main advantage of this approach is thatit also enables the detection and analysis of uncultivatedmembers of the microbial groups being investigated(Raskin
et al
1994 McDonald and Murrell 1997Purkhold
et al
2000 Radajewski
et al
2000 Lovell
etal
2001 Lueders
et al
2001) In contrast to 16S rRNAenvironmental sequences belonging to a novel but func-tionally related phylum can easily be recognised andincluded in the analysis
Oligonucleotide probe sets spotted onto nylon or nitro-cellulose membranes (lsquomacroarraysrsquo) have been used forthe diagnosis of bacteraemia (Anthony
et al
2000) food-contamination (Rudi
et al
2002) detection of enterococci(Behr
et al
2000) or cyanobacteria (Rudi
et al
2000) Aspecial microarray format consisting of individual poly-acrylamide gel micropads with immobilized oligonucle-otides (Liu
et al
2001) was used for the characterizationof aromatic hydrocarbon degrading consortia (Koizumi
et al
2002) and identification of rifampicin resistantstrains of
Mycobacterium tuberculosis
(Mikhailovich
et al
2001) A lsquotraditionalrsquo glass microarray consisting ofseven probes was developed for
Staphylococcus
diagno-sis (Hamels
et al
2001) Different genotypes of rotavi-ruses were specifically detected by an oligonucleotidemicroarray (Chizhikov
et al
2002) Cho and Tiedje (2001)applied whole genome DNAndashDNA hybridization for thedetection and community analysis of microorganisms Ahigh-density Affymetrix GeneChip containing over 30 00016S rRNA targeting oligo probes was used to identifyculture collection species and subsequently to character-
ize populations of airborne bacteria at the level of higherphylogenetic taxa (Wilson
et al
2002) A 16S rRNA genebased oligonucleotide microarray targeting and coveringthe entire known diversity of sulphate reducers was devel-oped and successfully validated with environmental sam-ples (Loy
et al
2002)In most cases the target consists of labelled large gene
fragments (several hundred nucleotides long) increasingthe potential for the accumulation of background signalarising from a low rate of non-specific hybridization Alter-native labelling approaches such as terminal transferaselabelling of specific oligonucleotides (Rudi
et al
2002)and the application of end labelled specific stackingprobes in conjunction with immobilized capture probes(Small
et al
2001) may improve the detection limit ofdiagnostic microbial microarrays by decreasing the abovementioned non-specific background hybridization
Microbial community structures can be assessed by thequantitative analysis of micro or macroarray results Asimple and elegant method to quantify specific microbialgenes from a sample has recently been published (Choand Tiedje 2002) In this method gene fragments (500ndash900 bp in length) were applied as probes Each spot con-sisted of a mixture of an individual probe and a commonreference gene fragment Hybridization was done with aCy3-labelled environmental mixture and a Cy5-labelledreference DNA Quantification was based on the Cy3Cy5ratios Unfortunately the same principle cannot be appliedto the quantification of oligonucleotide chip results becauseof the inherent differences in hybridization efficienciesbetween oligonucleotide probes In practice a differentreference oligo for each probe should be designed
Even though high expectations exist for diagnosticmicrobial microarrays applications utilizing their fullpotential (high throughput detection of large numbers ofmicrobes and quantitative assessment of their communitystructures) are still very limited (Loy
et al
2002) Part ofthe reason for this is that a technical platform of reason-able cost based on readily available consumables andequipment with demonstrated potential in high-through-put quantitative microbial diagnostics is missing
Here we describe the development and validation of adiagnostic microbial microarray for the high-throughputdetection and community structure analysis of methan-otrophic and functionally related bacteria A set of tech-niques based on well established and widely appliedtechnologies and commercially available consumablesand equipment is reported
Results and discussion
Protocol optimization
One of the main problems when designing oligonucleotidemicroarrays is to achieve nearly identical melting temper-
568
L Bodrossy
et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd
Environmental Microbiology
5
566ndash582
atures for all the probes on the array One potentialapproach to achieving this is the use of hybridization buff-ers containing tertiary amine salts Tetramethyl ammo-nium chloride (TMACl) or tetraethyl ammonium chloride(TEACl) have been successfully applied to enable GC-content independent hybridization on nitrocellulose ornylon membranes (Wood
et al
1985 Spiro
et al
2000)The present weakness of this approach is the lack ofdetailed information on the thermodynamics of hybridiza-tions in such solutions making it impossible to predict theeffects of further factors (as detailed later in this paper)on the behaviour of a given oligo probe Further the effectof tertiary amine salts on the different present and futuresurface chemistries is largely unknown Thus we choseanother approach by designing oligos which should havenearly identical melting temperatures in lsquotraditionalrsquo hybrid-ization buffers
Many independent studies have shown that stericeffects (interference of the solid support on the hybridiza-tion properties of the immobilized oligos and steric hin-drance resulting from the crowding of immobilized oligos)can seriously hinder the accessibility of immobilized oli-gonucleotide probes (Gou
et al
1994 Shchepinov
et al
1997 Brown and Anthony 2000) These effects are suc-cessfully mitigated by the application of spacer moleculesIn our hands a C12 linker and an extra five thymidineresidues at the 5
cent
end provided optimal spacing additionof further thymidine residues had no significant effect onthe hybridization capacity (accessibility) of the oligostested (data not shown)
Dimethylsulphoxide (DMSO) (50 vv in dH
2
O) wasselected as the printing buffer because it did not dry outduring long spotting rounds and provided uniform spotson the slides Standard deviations in signal intensitiesbetween replicate spots were 10ndash15 as opposed to 20ndash30 for arrays printed from 3
yen
SSC (data not shown)Spotting was done with a single pin to avoid variationsinherent in spotting with multiple pins
Several alternative approaches (methods are availablefrom the authors upon request) were tested for targetpreparation These included direct incorporation of Cy-labelled dNTPs into dsDNA during PCR application of alabelled PCR primer for the generation of dsDNA targetsand application of a labelled and a biotinilated PCR primerfor the generation of ssDNA targets via subsequent sep-aration of the two strands using streptavidin coated mag-netic beads As the secondary structure of the target playsa very significant role in determining the maximal hybrid-ization signal obtainable with a given probe (lsquohybridizationcapacityrsquo) it was an absolute necessity to fragment thetarget before hybridization RNA targets were generatedbecause RNA can be fragmented in a random manner viachemical fragmentation (Hughes
et al
2001) A furtheradvantage of using RNA targets is that the direct incorpo-
ration of the Cy-labelled nucleotides by the T7 RNA poly-merase is very efficient (Only a fourfold decrease wasobserved in RNA yield when 50 of UTP was replacedwith Cy3-UTP during
in vitro
transcription) Yields of targetpreparation were in the range of 50 ng
m
l
-
1
concentration(2500 ng) with every 10th to 12th nucleotide beinglabelled Fragmentation of the target RNA to an averagefragment size of 50 nucleotide (Hughes
et al
2001)resulted in a significant enhancement of hybridization Inspite of the sensitivity of the Cy dyes to nucleophilic attackapplied for RNA fragmentation an increase by over anorder of magnitude in the Cy3 as well as in the Cy5signals was observed (compared to signals obtained withunfragmented target RNA) Furthermore in many casesfragmentation decreased the differences between thehybridization capacities of probes (data not shown)Hybridization conditions were chosen which were relaxedenough to enable the hybridization of both perfect match(PM) and single mismatch (1 MM) targets
As the hybridization between oligonucleotides and anyother type of nucleic acid (oligonucleotide gene fragmentRNA etc) is a reversible process all hybridizations werecarried out overnight (16 h) to ensure complete hybridiza-tion In static microarray hybridizations diffusion is the onlyprocess providing mixing Statistical errors in the finalsignal are inherent in such a diffusion limited systemFurthermore such circumstances usually result in theedges of probe sets hybridizing more efficiently thus yield-ing a relatively strong signal for the edge of the spot anda much weaker one for the centre To overcome theselimitations a custom modified BellyDancer laboratoryshaker and sticky hybridization chambers with significantlyhigher volumes than those which exist between a microar-ray and a traditional coverslip were used The tiny bubblesunavoidably formed within this chamber were slowlymoved to the edge due to the motion of the BellyDancerand this provided enough extra mixing to ensure a rea-sonably uniform hybridization across the whole microarray
Standard deviation of results for (triplicate) spots ofindividual probes was 3 to 30 between parallel slideshybridized with targets prepared in parallel (slide-to-slidevariation)
The extent to which the application of different
pmoA
amoA
specific PCR primers influenced the results wasinvestigated Two alternative reverse primers were usedfor target amplification The primer
pmoA
682 can amplify
pmoA
amoA
and similar sequences and yields a productof 531 bp with the forward primer
pmoA
189 The primermb661 is specific for
pmoA
-type sequences and yields aslightly shorter (508 bp) product (Bourne
et al
2001) Asmany of the environmental
pmoA
clones were obtainedwith the latter primer both primer pairs were appliedStandard deviations between results generated with thedifferent primer pairs were 10ndash30 not exceeding that
Diagnostic microarray for methanotrophs
569
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd
Environmental Microbiology
5
566ndash582
between parallel experiments using the same primerpairs
Probe set design and validation
A database of over 700
pmoA
amoA
sequences wasestablished from public database entries and in part fromunpublished sequences (courtesy of A Auman S
Dedysh P Dunfield W Liesack I McDonald S Morrisand S Nold) Full-length and nearly full-length [ie cover-ing positions 206ndash661 of the
Mc capsulatus
(Bath)
pmoA
gene] as well as some of the (unique) shorter sequences(514 entries) were used to create a phylogenetic tree
One hundred and eighteen
pmoA
amoA
based oligonu-cleotide probes were designed A nested set of 68 probes(Table 1) was selected by omitting redundant probes The
Table 1
Set of oligonucleotide probes synthesized and spotted for evaluation Positions of mismatches with target sequences are indicated byboldfaced and underlined characters Melting temperatures were calculated by the nearest neighbour method
Name
a
Intended specificity Sequence 5
cent
AElig
3
cent
b
Length T
m
Selected
c
MM
d
Mb460
Methylobacter
GACAGTTACAGCGGTAATCGGTGG
24 609
+
Mb478
Methylobacter
TGGTATGGC
A
TGGGGTCTGT
20 597
+
TMb271
Methylobacter
TTGTGGTGGCGTTACCGT
18 580
+
511ndash436
Methylobacter
GTTTTGATGCTGTCTGGCAG
20 555
+
BB51-299
Methylobacter GCGCGGTTGTTTGTGTCT 18 574 ndashMb292 Methylobacter CCGTTACCGTCTGCCTTTCG 20 591 + T ATMm275 Methylomonas GTGGTGGAGATACCGTTTGCC 21 592 +Mm391 Methylomonas ATTTGCTTCCCATCTAACCTG 21 540 ndashPS80-291 clone PS-80 ACCAATAGGCGCAACACTTAGT 22 583 +peat1ndash3-287 Metylomonas-related peat clones AACTGCCTTTAGGCGCTACC 20 586 +Mb_SL1ndash421 soda lake Methylobacter isolates and clones GCGATCGTATTAGACGTTATCCTG 24 564 ndashMb_SL-299 soda lake Methylobacter isolates and clones GGGGTGCAACTCTGTGTATCTTAGG 25 605 + TJpn284 clone Jpn 07061 ACCGTATCGCATGGGGTG 18 580 +Mm_pel467 Methylomicrobium pelagicum ACTGCGGTAATCGATGGTTTGGC 23 616 +Est514 Methylomicrobium-related clones AATTGGCCTATGGTTGCGCC 20 599 +LP20-644 Methylomicrobium-related clones GGTACACTGCGTACTTTCGGTAA 23 582 +Mmb303 Methylomicrobium album CAATGCTGGCTGTTCTGGGC 20 603 +Ia193 Type I a (M bacter-M monas-M microbium) GACTGGAAAGATAGACGTCT 20 519 ndashIa577 Type I a (M bacter-M monas-M microbium TGGCTGACTTGCAAGGTTACC 21 589 + ANc_oce426 Nitrosococcus oceani CTTGGATGCCATGCTTGCGA 20 598 +Mth413 Methylothermus CACATGGCGATCTTTTTAGACGTTG 25 583 +Mc396 Methylococcus CCCTGCCTCGCTGGTGC 17 619 + C A501ndash286 Methylococcus-related clones GTCAGCCGTGGGGCG 15 590 ndashfw1ndash639 Methylococcus-Methylocaldum related clones GAAGGGCACGCTGCGTACG 19 620 + T CM90-201 Methylocaldum-related clones CGGCTGCTGTACAGGCGTTC 20 618 +Mcl408 Methylocaldum GGTTCCGGGTGCGATTTTG 19 578 +Ib453 Methylococcus-Methyocaldum and related GGCAGCTACCTGTTCACCGC 20 617 + GIb559 Methylothermus-Methylococcus-Methyocaldum
and relatedGGCATGCTGATGTCGATTGCCG 22 605 + C C C
Mcy262 Methylocystis CAGGCGTTCTGGTGGGTGAA 20 610 + T TMcy409 Methylocystis and peat clones ATCGTTCCGGCGATCTGGC 19 610 + U C
+hairpinPeat264 peat clones GGCGTTTTTCTGGGTCAACTTCC 23 603 +Msi520 Methylosinus GCGATCGCGGCTCTGCA 17 616 +Msi_tri309 Methylosinus CGCGGTTCTGGGTCTGCTC 19 614 + C C A GMsi270 Methylosinus GTTCTTCTGGGAGAACTTCAAGC 23 571 ndashMsi232 Methylosinus CCTGGGCGTGACCTTCGC 18 610 + T C G TGII510 Type II methanotrophs CGAACAACTGGCCGGCG 17 600 +II630 Type II methanotrophs CATGGTCGAGCGCGGC 16 597 +RA14-598 RA14 related clones AACGTTCGTACCTCGATGCC 20 583 + TT C CB2rel260 Methylocapsa-related clones GCCCAGTATTATTTCTGGACCCCAT 25 604 + Most of GC
at theends
B2-400 Methylocapsa ACCTCTTTGGTCCCGGCTG 19 605 +B2all343 Methylocapsa and related clones AACCGCTACACCAATTTCTGGCG 23 618 + CpmoAMO3-400 clone pmoA-MO3 CCCAGATGATCCCGTCGGC 19 608 +xb6ndash539 Methanotroph-related clones AGGCCGCCGAGGTCGAC 17 630 +LP21-190 Methanotroph-related clones ATCGACTTCAAGGATCGCCG 20 582 ndashLP21-232 Methanotroph-related clones ATCGTCGCCATGTGCTTCGC 20 619 +mtrof173 Universal GGbGACTGGGACTTCTGG 18 582 +mtrof362-I Methanotrophs TGGGGCTGGACCTACTTCC 19 595 ndashmtrof656 Methanotrophs ACCTTCGGTAAGGACGT 17 532 +mtrof661 Methanotrophs GGTAARGACGTTGCKCCGG 19 619 +mtrof662-I Methanotrophs GGTAAGGACGTTGCGCCGG 19 619 ndashNmNc533 Nitrosomonas-Nitrosococcus CAACCCATTTGCCAATCGTTGTAG 24 586 + G C
570 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
probes targeted different species groups of species gen-era as well as higher taxonomic groups of methanotrophsand related bacteria Several broad specificity probes tar-geting AOBs were also designed and included in order toimprove the potential of the array for analysing variousenvironments including those potentially dominated byAOBs Two probes (mtrof173 and mtrof661) weredesigned to target the PCR primers pmoA189 and mb661respectively A third probe lsquouniversalrsquo to methanotrophs(mtrof362-I) was designed for a region in the middle of thepmoA sequence which is reasonably conserved amongstmethanotrophs
The most critical step of the probe design process is tofine tune the probe set in a way that all probes in the setdisplay hybridization behaviour as identical as possible Inthe first stage an attempt was made to design oligos withpredicted melting temperatures [according to the nearestneighbour model (Breslauer et al 1986)] of 60 plusmn 2infinC Insome cases this was not possible because of the limitedlength of differentiative sequence regions When no alter-native probe sites were found the probes with suboptimalmelting temperatures were accepted and synthesized Aspresent models can only predict melting temperatures offree oligos but not of those bound to solid surfaces (seedetailed discussion below) probes with suboptimal pre-dicted melting temperature do not necessarily performsuboptimally
The hybridization behaviour of oligonucleotide probesimmobilized onto a solid surface depends on several fac-tors Length GC content and exact sequence of theprobe these together are considered when predicting Tm
for the oligos by using the nearest neighbour method
(Breslauer et al 1986) Position of GC and AT pairs themiddle of the probe is more important in stabilizing hybrid-ization thus a probe with most of its GC content in themiddle binds to its target more strongly than another onewith homogenous GC distribution (but with identical lengthand GC content) (Guo et al 1994 Shchepinov et al1997 Hughes et al 2001) Secondary structures of theprobe and of the corresponding target when any of thesetwo are of significant strength compared to the strengthof hybridization between the probe and the target a sig-nificant drop in hybridization efficiency is expected Theexact nature of the overhanging nucleotides on the target(nucleotides immediately next to the area targeted by theprobe) this comes from the nearest method model butisnrsquot normally accounted for because the overhangs of thetarget sequence are not considered Number and type ofmismatches some mismatches have little while othershave very strong destabilizing effect (Sugimoto et al2000) Position of mismatches mismatches in the middleare more destabilizing than mismatches at end positions(Fotin et al 1998) Factors arising from the immobilizednature of the probes steric effects can hinder the forma-tion of hybrids between the target and the bound probeThis effect is much stronger for the immobilized end of theprobe Thus the bound end of the probe plays a lesserrole in the hybridization than the free end (Guo et al1994 Shchepinov et al 1997 Hughes et al 2001) Thisapplies for the position of GC and AT pairs as well as forthe position of mismatches Hybridization between DNAoligos and RNA fragments as in our case has slightlydifferent thermodynamics to that of DNAndashDNA hybridiza-tion (Hung et al 1994 Sugimoto et al 2000)
Nsm_eut381 Nitrosomonas eutropha CCACTCAATTTTGTAACCCCAGGTAT 26 590 +Pl6ndash306 Nitrosomonas-Nitrosococcus related clones GGCACTCTGTATCGTATGCCTGTTAG 26 605 +PS5-226 Nitrosomonas-Nitrosococcus related clones ACCCCGATTGTTGGGATGATGTA 23 599 +NsNv207 Nitrosospira-Nitrosovibrio TCAATGGTGGCCGGTGG 17 585 + GNsNv363 Nitrosospira-Nitrosovibrio TACTGGTGGTCGCACTACCC 20 596 + A T TNit_rel223 AOB related clones GTCACACCGATCGTAGAGGT 20 569 +Nit_rel351 AOB related clones GTTTGCCTGGTACTGGTGGG 20 592 +Nit_rel470 AOB related clones CGATATTCGGGGTATGGGCG 20 584 + ANit_rel304 AOB related clones CGCTCTGCATTCTGGCGCT 19 618 +M84P105-451 environmental clones of uncertain identity AACAGCCTGACTGTCACCAG 20 581 +WC306ndash54ndash385 environmental clones of uncertain identity AACGAAGTACTGCCGGCAAC 20 592 +M84P22-514 environmental clones of uncertain identity AACTGGGCCTGGCTGGG 17 610 +gp23ndash454 environmental clones of uncertain identity AACGCGCTGCTCACTGCG 18 623 +MR1-348 environmental clones of uncertain identity AATCTTCGGTTGGCACGGCT 20 611 +gp391 environmental clones of uncertain identity ATCTGGCCGGCGACCATG 18 611 +gp2ndash581 environmental clones of uncertain identity ACATGATCGGCTACGTGTATCCG 23 600 +RA21-466 clone RA21 ndash environmental clone of
uncertain identityCGGCGTTCTTGGCGGCAT 18 624 +
Namea Intended specificity Sequence 5cent AElig 3centb Length Tm Selectedc MMd
a Numbers at the end of the probe names refer to their relative positions on the Mc capsulatus (Bath) pmoA geneb Sequences are of the sense strandc Oligonucleotide probes of the final probe set are indicated by +0 Probes not selected are indicated by ndashd Nucleotide residue(s) at mismatch position(s) Other factors included in the calculation of weighed mismatches are also indicated
Table 1 cont
Diagnostic microarray for methanotrophs 571
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Based on the above criteria on initial results from test-ing the hybridization behavior of our probes and on pub-lished data (Shchepinov et al 1997 Fotin et al 1998Meroueh and Chow 1999 Sugimoto et al 2000) a set ofsimple findings was compiled which significantly improvedthe prediction of the hybridization behaviour of the probesThese findings are
(i) UAEligC changes in the target sequence leads to an rG-dT bond which is almost as strong as the original rA-dT bond (for perfect match cases) These are notconsidered as mismatches
(ii) GAEligA changes in the target sequence leads to an rU-dG bond which is almost as strong as the original rC-dG bond (for perfect match cases) These mis-matches are considered only if they are presenttogether with other types of mismatches
(iii) Mismatches in the end positions are not consideredMismatches adjacent to the end positions are consid-ered only if they are present together with other typesof mismatches
(iv) If most of the GC content of a probe is close to the5cent (immobilized) end the probe will display a signifi-cantly lower melting temperature than originally pre-dicted The same is true for a G or C residue in the3cent end position
(v) Probes with strong hairpin structures (DG ge 20) wereconsidered as having an extra mismatch to the target
(vi) High GC content probes shorter than 17 nucleotidesin length display unreliable hybridization behaviorunder the experimental conditions applied
Considering the above points another nine probeswere excluded and mismatch values were updated toweighed mismatch values The resulting set of 59 oligo-nucleotide probes was validated with a reference set of59 pure strains and environmental clones covering almostthe entire known diversity of methanotrophsand bacteriacarrying pmoAamoA homologues (listed in Fig 2) Sev-eral AOB clones were also included in the validationHybridizations were carried out at 55infinC with the aim ofallowing for perfect match and single (weighed) mismatchprobe-target pairs to hybridize Figure 1 shows some typ-ical hybridization results Hybridization between a probeand a target was considered positive if the signal was atleast 5 of the signal obtained for mtrof173 on the samearray There were unfortunately groups of clones forwhich no representative was available Figure 2 shows thepredicted hybridization behaviour of the probe set and theresults obtained
Out of 59 probes in the probe set we were unable toobtain reference targets for seven which were thus notpossible to validate Most (42) probes displayed hybridiza-tion behavior as predicted Two probes II510 and II630were expected to have unreliable hybridization behaviour
because of their shortness (in combination with a strongsecondary structure in case of II510) These two probeswere left in the probe set as we were unable to identify abetter region for a probe specific to the Type II methan-otrophs Eight probes displayed some unpredicted resultsThe unexpected positive result of Mcy409 came from acombination of a strong secondary structure and a mis-match The unexpected negative results of Msi232 wasobtained with targets displaying two adjacent mismatchesright at the 3cent end plus a third one at different internallocations of the probe Probe Ia577 displayed unexpectednegative results to three targets all having the a singlecentral mismatch U(r)A change resulting in an rU-dT pairreplacing the perfect match rA-dT pair
Fifty out of the 59 probes were succesfully validated(seven probes with no reference targets available and twosuboptimal probes II510 and II630 were not) Of the 2950individual hybridization reactions (50 validated probes yen59 reference strainssequences) 2931 (993) yieldedthe expected result by either showing detectable signalwhere expected or by no hybridization where a negativeresult was predicted Only 19 of the hybridization reac-tions (07) resulted in false negative or positive hybrid-ization Forty-two out of the 50 probes consideredbehaved 100 as predicted (in all of the hybridizationreactions) This success rate is acceptable when redun-dant probe sets (three or more probes for each speciesor higher taxonomic group targeted) are and can bedesigned There is however a need for an improvedmethod to predict hybridization behaviour of oligonucle-otide probes About half of the unpredicted results wereassociated with complicated cases where additionalparameters influencing hybridization behaviour had to beconsidered together with mismatches Mismatches espe-cially when their relative positions are also consideredcan reliably be accounted for only by a nearest-neighbourmethod based algorithm Software applying such an algo-rithm which considers further effects arising from theimmobilized nature of the probes as well as the second-ary structure of the probe and the target via user definedparameters is badly needed A computer program underdevelopment called CALCOLIGO is aiming exactly at fillingthis gap (J Csontos Bay Zoltaacuten Institute for Biotechnol-ogy Szeged Hungary pers comm)
Despite its apparent shortcomings the probe set candiagnose almost the entire known diversity of methanotro-phs and bacteria carrying pmoAamoA homologues Thegaps in the validation of probe set represent probesagainst unique clones or small groups of clones whichseem to be very poorly represented in the environmentsinvestigated so far Results from environmental samplesneed to be referred to the validation results with the ref-erence set rather than to the predicted ones thus mini-mizing the chances of false interpretation of results
572 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Evaluation of the microarray with environmental samples
To assess the applicability of the developed methanotrophmicroarray in environmental studies two different environ-mental samples were analysed
The first experiment was carried out with a soil samplefrom a landfill site collected at the end of the summerMicroarray results indicated that strains related to thegenera of Methylocaldum and Methylocystis were mostabundant in this sample In addition to Methylocaldum andMethylocystis pmoA specific probes general pmoAprobes for the B subgroup of Type I methanotrophs andfor the Type II methanotrophs also showed positive hybrid-ization Two further probes Mb478 and Msi232 were pos-itive Mb478 was known from the validation set to
hybridize strongly to pmoA of Methylocaldum tepidumthus this signal was accounted for as arising from Methy-localdum-related bacteria Msi232 is a probe with a singlemismatch towards pmoA from most Methylocystis strainsDuring validation experiments it was shown to displaystrong hybridization signal with pmoA from one clade ofMethylocystis Thus (weak) positive results with Msi232were accounted for as arising from Methylocystis relatedbacteria To confirm these results a pmoA clone librarywas constructed Out of 100 clones sequenced 91 con-tained inserts with high homology to pmoA sequencesSixty-five per cent of these clones were related to pmoAfrom Methylocaldum and 31 to pmoA from Methylocys-tis confirming the results of the microarray analysis Afurther 3 of the clones showed highest similarity to
Fig 1 A Schematic diagram of the microarray design Arrays were spotted in triplicate Frames indicate universal (lsquomtrofrsquo) probes spotted in multiple copies and spots with an external positive control probe (lsquohyaBprsquo results of this were not considered or used in the present study)B Detailed design of a single array with exact positions for each probeC Representative hybridizations with reference strains or environmental clones Probe hyaBp targets an independent gene (hyaB of E coli) It can be applied as an alternative control spot for normalization after spiking of the in vitro transcription reaction with hyaB PCR product Note that results of probe hyaBp were not considered throughout the work presented here Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Diagnostic microarray for methanotrophs 573
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig
2
Ran
ge o
f st
rain
cov
erag
e fo
r ol
igon
ucle
otid
e pr
obes
tar
getin
g pm
oAa
moA
gen
es o
f m
etha
notr
ophs
A
OB
s an
d ba
cter
ia c
arry
ing
pmoA
am
oA h
omol
ogue
s A
sim
ilar
tabl
e w
ith a
ll 51
4 se
quen
ces
cons
ider
ed (
with
out
hybr
idiz
atio
n re
sults
) is
ava
ilabl
e fr
om t
he a
utho
rs u
pon
requ
est
Und
er lsquoP
robe
srsquo b
lack
fill
indi
cate
s ex
pect
ed p
ositi
ve r
esul
ts
grey
fill
indi
cate
s po
sitiv
e re
sults
not
pr
edic
ted
and
thic
k bl
ack
fram
ing
indi
cate
s ne
gativ
e re
sults
whe
re h
ybrid
izat
ion
was
pre
dict
ed W
hite
num
bers
insi
de b
lack
and
gre
y bo
xes
indi
cate
the
num
ber
of lsquom
ism
atch
equ
ival
ents
rsquo as
desc
ribed
in t
he r
elev
ant
sect
ion
of R
esul
ts L
ette
rs in
gre
y bo
xes
indi
cate
pro
bes
of u
nrel
iabl
e hy
brid
izat
ion
beha
viou
r lsquoA
cent a
shor
t pr
obe
with
sig
nific
ant
seco
ndar
y st
ruct
ure
lsquoBcent a
sho
rt p
robe
N
ames
of
envi
ronm
enta
l clo
nes
are
prec
eded
by
an in
dica
tion
of t
heir
pred
icte
d im
med
iate
phy
loge
netic
rel
atio
nshi
p H
ighe
st a
nd lo
wes
t si
gnal
val
ues
( o
f th
at o
f m
trof
173
) ob
tain
ed w
ith f
ull
mat
ch ta
rget
s ar
e in
dica
ted
(lsquomax
val
rsquo an
d lsquom
inv
alrsquo)
Gre
y bo
xes
indi
cate
dat
a w
hich
are
not
rep
rese
ntat
ive
(Jpn
284
Est
514
Nc_
oce4
26 g
p23ndash
454
and
MR
1-34
8 n
o fu
ll m
atch
ref
eren
ce ta
rget
av
aila
ble
II5
10 a
nd I
I630
sho
rt p
robe
s of
unr
elia
ble
hybr
idiz
atio
n be
havi
our
B2r
el26
0 an
d N
sNV
207
dat
a fr
om s
ingl
e m
ism
atch
tar
gets
mtr
of 1
73 r
efer
ence
pro
be m
trof
661
tar
getin
g th
e re
vers
e pr
imer
app
lied
in m
ost
ampl
ifica
tions
) A
pm
oAa
moA
DN
A n
eigh
bour
tre
e is
add
ed t
o th
e le
ft pr
ovid
ing
furt
her
insi
ght
into
the
phy
loge
netic
rel
atio
nshi
ps o
f th
e re
fere
nce
set
The
sca
le
bar
indi
cate
s th
e es
timat
ed n
umbe
r of
bas
e ch
ange
s pe
r nu
cleo
tide
sequ
ence
pos
ition
Str
ain
C
lon
eP
r o
b e
s
Mm275
PS80-291
Mb460
Mb478
Mb271
511-436
Mb292
peat1-3-287
Mb_SL-299
Jpn284
Mm_pel467
Est514
LP20-644
Mmb303
Ia577
Nc_oce426
Mth413
Mc396
fw1-639
M90-201
Mcl408
Ib453
Ib559
Mcy262
Mcy409
Peat264
Msi520
Msi_tri309
Msi232
II510
II630
RA14-598
B2rel260
B2-400
B2all343
pmoAMO3-400
xb6-539
LP21-232
NmNc533
Nsm_eut381
Pl6-306
PS5-226
NsNv207
NsNv363
Nit_rel223
Nit_rel351
Nit_rel470
Nit_rel304
M84P105-451
WC306_54-385
M84P22-514
gp23-454
MR1-348
gp391
gp2-581
RA21-466
mtrof173
mtrof362-I
mtrof661
L21
2224
2018
2020
2025
1823
2023
2021
2025
1719
2019
2022
2019
2317
1918
1716
2025
1923
1917
2024
2626
2317
2020
2020
1920
2017
1820
1823
1818
1919
Tm
5958
6160
5856
5959
6158
6260
5860
5960
5862
6262
5862
6161
6160
6261
6160
6058
6061
6261
6362
5959
6160
5960
5759
5862
5859
6162
6161
6062
5860
62
Min
val
130
26
389
353
14
16
50
NA
77
NA
31
NA
152
41
22
NA
41
175
312
10
47
50
256
194
20
75
32
46
54
11
10
513
22
64
78
NA
192
87
189
91
373
112
12
335
49
103
29
88
111
17
116
NA
NA
22
34
58
100
84
NA
Max
val
180
26
389
353
72
16
80
NA
108
NA
31
NA
166
41
50
NA
41
175
312
10
47
158
371
194
38
75
34
46
167
39
29
513
22
64
89
NA
192
278
189
91
373
112
15
335
49
166
29
88
111
17
116
NA
NA
22
34
58
100
270
NA
Met
hyl
om
on
as c
lon
e M
90-P
12+
33
1M
eth
ylo
mo
nas
clo
ne
mv1
9pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv2
1pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv9
pa
+2
++
1M
eth
ylo
mo
nas
met
han
ica
clo
ne
D1
+2
++
2++
clo
ne
PS
-80
2+
33
Met
hyl
ob
acte
r cl
on
e S
L-5
102
2+
++
32
33
+3
Met
hyl
ob
acte
r cl
on
e m
v6p
b2
+3
1+
2+ +
Met
hyl
ob
acte
r cl
on
e m
v16p
a+
3+
3M
eth
ylo
bac
ter
clo
ne
5hm
-81
+3
32
+3
Un
iden
tifi
ed s
trai
n L
K5
1+
Met
hyl
ob
acte
rcl
on
e 5h
m-2
21
22
+3
1+
3M
eth
ylo
bac
ter
clo
ne
RB
-16
12
+3
2+
1M
eth
ylo
bac
ter
clo
ne
SL
-41
+3
3+
2+
Met
hyl
ob
acte
r c
lon
e 5h
m-2
31
32
+2
+M
eth
ylo
bac
ter
clo
ne
RB
-100
1+
33
2+
2+
Met
hyl
ob
acte
r c
lon
e L
OP
B 1
35
33
1+
31
+3
+L
P 2
0 g
rou
p c
lon
e M
90-P
503
++
1+
LP
20
gro
up
clo
ne
M90
-P24
3+
+1
+M
eth
ylo
mic
rob
ium
alb
um
BG
83
++
+2
+ ++
Met
hyl
osa
rcin
a fi
bri
ata
AM
L-C
10+
23
2+
+2
+
++2
+M
eth
ylo
ther
mu
sst
rain
HB
2+
1+
Met
hyl
oco
ccu
s ca
psu
latu
s (
Bat
h)
33
+2
++
Met
hyl
oco
ccu
s ca
psu
latu
s B
L4
33
12
++
++
501
gro
up
clo
ne
FW
-18
+1
+1
+ F
W-1
gro
up
clo
ne
pA
MC
512
33
+2
++
2M
eth
ylo
cald
um
rel
ated
clo
ne
M84
-P11
32
++
13
3+
+M
eth
ylo
cald
um
rela
ted
clo
ne
M90
-P75
33
2+
+1
33
++
Met
hyl
oca
ldu
m t
epid
um
LK
6+
+1
++
1M
eth
ylo
cyst
is c
lon
e S
L-5
70
+1
1A
B+
2M
eth
ylo
cyst
is c
lon
e L
OP
A 1
35
22
31
AB
1+
+M
eth
ylo
cyst
is c
lon
e F
12
+1
1A
B1
+1
Met
hyl
ocy
stis
str
ain
M2
+1
1A
B1
3+
+M
eth
ylo
cyst
is p
arvu
s O
BB
P2
+1
1A
B2
3gt7
+1
Pea
t cl
on
e P
129
E+
31
AB
+2
Met
hyl
osi
nu
scl
on
e rb
p46
3+
+A
B3
1M
eth
ylo
sin
us
tric
ho
spo
riu
m O
b3b
3+
+A
B3
+1
Met
hyl
osi
nu
s c
lon
e L
OP
B 1
33
33
3+
AB
13
+1
Met
hyl
osi
nu
s sp
ori
um
SE
23
++
AB
1+
+U
nid
enti
fied
str
ain
Y3
+A
B1
++
RA
14 g
rou
p c
lon
e R
A14
1+
+2
Met
hyl
oca
psa
rel
ated
clo
ne
JY-6
48
32
11
+3
Met
hyl
oca
psa
rel
ated
clo
ne
LO
PB
13
43
21
++
2M
eth
ylo
cap
sa a
cid
op
hila
B2
B1
++
gt7+
2L
P21
gro
up
clo
ne
P13
63
23
++
+1
LP
21 g
rou
p c
lon
e m
v12p
a+
1L
P21
gro
up
clo
ne
LO
PA
12
8B
3B
32
+2
++
1N
itro
som
on
as c
lon
e g
p1a
+1
1+
Nit
roso
mo
nas
eu
tro
ph
a1
+2
2+
Nit
roso
mo
nas
rela
ted
clo
ne
pl6
3+
21
2+
Nit
roso
mo
nas
rel
ated
clo
ne
PS
-5+
12
+N
itro
sosp
ira
clo
ne
LO
PA
12
32
++
AO
B r
elat
ed c
lon
e P
124
++
+A
OB
rel
ated
clo
ne
LO
PA
12
4+
1+
AO
B r
elat
ed c
lon
e g
p22
3+
+cl
on
e M
84-P
105
3+
clo
ne
WC
306-
54+
++
+ +cl
on
e M
84-P
222
1cl
on
e R
A21
3
+
+
+
+
01
1
+
+
+ +
+
574 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
pmoA from Methylomicrobium album strains The pres-ence of the Methylomicrobium album related strains wasnot detected by the microarray (relevant specific probeMmb303) This is due to the current detection limit whichis about 5 of cells in relation to the total bacterial com-munity analysed (ie containing pmoAamoA genes)There is also a statistical uncertainty in the percentagevalues derived from the analysis of only 91 clonesMicroarray and clone library results are shown on Fig 3
The second experiment was done using a sample froma soil microcosm incubated with CH4 as described byRadajewski et al (2002) Microarray experiments indi-cated the presence of methanotrophs belonging to twoclades The first clade the lsquopeat clonesrsquo group belongs toType II methanotrophs and is only known from acidic(peat) environments so far There are no cultured repre-sentatives of this group yet The second clade the LP21group is related to the Methylocapsa and to the RA14groups This clade consists of environmental clones ofvarious origins and of the lsquounusualrsquo second pmoA copiesfound in some Type II methanotrophs (Dunfield et al2002) This environmental sample has already beenanalysed by clone library construction and sequencing(Radajewski et al 2002) Fifty pmoAamoA clones wereanalysed (Fig 4) Eighteen per cent of the clonesbelonged to the peat clones group and 70 to the LP21group confirming the microarray results detecting thesetwo groups as the dominant ones Four per cent of theclones analysed belonged to the NitrosomonasNitroso-coccus group and 8 to the gp2 group The latter twogroups were not detected by the microarray analysis (rel-evant probes were NmNc534 for the NitrosomonasNitrosococcus group and gp391 and gp2ndash581 for the gp2group) The abundance of these groups was very near tothe detection level Furthermore the clone library and themicroarray analyses were done from different PCR reac-tions carried out from the same environmental DNAstock but in different laboratories Thus different PCRbiases may account for the discrepancy between themicroarray and clone library analysis results for these lowabundance sequences
Quantification of methanotrophs and related bacteriabased on pmoAamoA sequences is potentially biased bythe different number of pmoAamoA gene copies per cellThis has to be taken into account when interpreting suchresults
Quantification potential
Quantification potential of the developed microarray wastested with artificial mixtures of pmoA sequences Thisway it was possible to avoid the introduction of biasesinherent in DNA purification from environmental samplesand PCR with degenerate primers (Reysenbach et al
1992 Witzingerode et al 1997 Polz and Cavanaugh1998 Ishii and Fukui 2001) and the results show thepotential of the array to reflect the composition of the PCRmixture (rather than that of the original environmentalDNA or the original microbial community) By employinga reference mixture of known composition it was possibleto normalize variations in spot morphology and local dif-ferences in hybridization efficiency as well as for the sig-nificant variation in hybridization capacities betweendifferent probes
Our results shown in Fig 5 showed very good corre-lation between the true composition of the artificial mix-tures and the results of quantitative analysis of thehybridization results Standard deviation from expectedratios were in the range of 04ndash172 These results showthe potential of the microarray approach to reflect theratios within the PCR product (used as template for targetpreparation) As the first steps of the procedure includeenvironmental DNA purification and PCR with universalprimers the microarray approach is also prone to the biasinherent in these techniques
Quantification potential was further tested with the land-fill site and microcosm environmental samples (Fig 6)Results from the first analyses (hybridization with Cy3-labelled target prepared from environmental DNA) wereused to gain a rough estimate of the relative abundanceof methanotrophs in these samples Based on theseresults a mixture of reference sequences covering theobserved diversity was designed and labelled with Cy5Competitive (lsquotwo-colourrsquo) hybridization with the Cy3-labelled environmental and the Cy5-labelled reference tar-get was used to refine quantitative assessment of meth-anotroph community composition
In this quantification scheme a one-colour hybridizationis carried out first giving a rough estimation of the com-munity structure by referring back the relative intensitieson the array to the results from the reference straincloneset This information can also be used to select a subsetof reference strainsclones to be used in the next stagewhere the same target is then hybridized against theselected reference set and quantitative data are drawnfrom the ratios of the two signals The basic requirementof such a two-colour quantification approach is the abilityto identify and create an appropriate reference set Thisshould consist of sequences as similar to those in thesample as possible Failure to do so will result in skewedpredicted ratios Even though this limits the applicationpotential of this approach it can be very useful in studieswhere the same community is analysed over time or underdifferent conditions
By comparing the results of the two-colour microarrayhybridizations to the composition of the correspondingclone libraries (landfill site 14ndash30 predicted for Methy-localdum and 21ndash28 for Methylocystis versus 65 and
Diagnostic microarray for methanotrophs 575
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 3 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the landfill site sample The number of clones (out of 91 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the landfill site sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15Methylomonas methanica
Methylobacter sp LW 12Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
Nitrosococcus oceanus
31
66
Methylomicrobium album
Methylobacter sp LW 1M2 78 (2 clones)
M2 105 (1 clone)
47
88
Methylobacter sp LW14
88
55
Methylothermus sp HB
Methylocaldum tepidum
M2 11 (30 clones)M2 9 (6 clones)
M2 80 (1 clone)M2 19 (2 clones)
80
66
80
M2 32 (2 clones)Methylocaldum gracile
M2 37 (1 clone)
88
66
M2 4 (9 clones)Methylocaldum szegediense
M2 69 (1 clone)
80
M2 66 (1 clone)
99
56
M2 10 (2 clones)M2 83 (1 clone)
88
M2 26 (3 clones)
66
Clone M90-P4
99
Clone FW-1
54
Methylococcus capsulatus
CloneFW-18
78
43
36
46
Type II methanotroph AML-A6
M2 5 (2 clones)M2 12 (23 clones)
88
Type II methanotroph AML-A3
80
Methylocystis sp LW 5
39
Methylocystis sp M
M2 35 (3 clones)M2 53 (1 clone)M2 29 (1clone)
80
Methylocystis echinoides strain 491
88
99
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
69
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium strain SE 2
41
92
94
Methylocapsa acidophila strain B2
Clone RA 14
96
89
86
Nitrosococcus mobilis
Nitrosomonas eutropha
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone RA 21
77
010
Mb478
Mb478
Mcl408Ib453
Ib559
Mcy262
Mcy409
Msi 232II510II630
Mtrof661
Mtrof173
Mmb303
A
B
576 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 4 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the microcosm sample The number of clones (out of 50 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the microcosm sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15
Methylomonas methanica
Methylobacter sp LW 12
Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
31
Methylomicrobium album
Methylobacter sp LW 1
Methylobacter sp LW 14
47
55
Methylothermus sp HB
Methylococcus capsulatus
Clone FW-18
Methylocaldum szegediense
Clone M90-P4
Clone FW-1
54
43
78
36
46
Type II methanotroph AML-A6
Type II methanotroph AML-A3
Methylocystis sp LW 5
39
Methylocystis echinoides 491
Methylocystis sp M
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
Clone P129 (8 clones)
69
29
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium SE 2
41
92
94
Methylocapsa acidophila B2
Clone RA 14
96
Clone P128 (35 clones)Clone P1212 (1 clone)
Clone ferm_xb6
54
Clone LP 21
66
86
61
89
88
Nitrosomonas europaea
Nitrosococcus mobilis
Clone P1211 (2 clones)
11
Nitrosomonas eutropha
43
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone gp5
77
Clone gp2
Clone P1210 (4 clones)
98
90
Clone RA 21
010
Xb6-539
Peat264
Msi 232II510II630
Mtrof661
Mtrof173
LP21-232
NmNc533NsNv207NsNv363
Gp2-581 Gp391
A
B
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
Anthony RM Brown TJ and French GL (2000) Rapiddiagnosis of bacteremia by universal amplification of 23Sribosomal DNA followed by hybridization to an oligonucle-otide array J Clin Microbiol 38 781ndash788
Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
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methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
Diagnostic microarray for methanotrophs
567
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd
Environmental Microbiology
5
566ndash582
genes Originally developed for whole genome geneexpression analyses (Schena
et al
1996 Tao
et al
1999) DNA microarrays have very strong applicationpotential in many areas of microbiology Upon availabilityof corresponding probe sets they enable the detection ofup to several thousand microbial strains species generaor higher clades (depending on the design of the probe)in a single assay In clinical veterinary and plant microbi-ology food and water quality control this means that asingle test can be developed to detect all pathogenicbeneficialcontaminating bacteria which might be presentin the sample being investigated The potential for envi-ronmental microbiology is even stronger By applyingnested sets of oligonucleotide probes (Behr
et al
2000)which target genes reflecting the phylogeny of the targetorganism it becomes possible to assess the wholeprokaryotic diversity of an environment The most obvioustarget for such studies are the 16S and 23S rRNA genesOther (often referred to as lsquofunctionalrsquo ie encoding forrelated enzymes carrying out a defined function) possibletarget genes can also be used at least for a physiologi-cally restricted group of microorganisms The applicationof functional genes narrows down the analysis to a func-tionally (sometimes also phylogenetically) defined groupof microbes The main advantage of this approach is thatit also enables the detection and analysis of uncultivatedmembers of the microbial groups being investigated(Raskin
et al
1994 McDonald and Murrell 1997Purkhold
et al
2000 Radajewski
et al
2000 Lovell
etal
2001 Lueders
et al
2001) In contrast to 16S rRNAenvironmental sequences belonging to a novel but func-tionally related phylum can easily be recognised andincluded in the analysis
Oligonucleotide probe sets spotted onto nylon or nitro-cellulose membranes (lsquomacroarraysrsquo) have been used forthe diagnosis of bacteraemia (Anthony
et al
2000) food-contamination (Rudi
et al
2002) detection of enterococci(Behr
et al
2000) or cyanobacteria (Rudi
et al
2000) Aspecial microarray format consisting of individual poly-acrylamide gel micropads with immobilized oligonucle-otides (Liu
et al
2001) was used for the characterizationof aromatic hydrocarbon degrading consortia (Koizumi
et al
2002) and identification of rifampicin resistantstrains of
Mycobacterium tuberculosis
(Mikhailovich
et al
2001) A lsquotraditionalrsquo glass microarray consisting ofseven probes was developed for
Staphylococcus
diagno-sis (Hamels
et al
2001) Different genotypes of rotavi-ruses were specifically detected by an oligonucleotidemicroarray (Chizhikov
et al
2002) Cho and Tiedje (2001)applied whole genome DNAndashDNA hybridization for thedetection and community analysis of microorganisms Ahigh-density Affymetrix GeneChip containing over 30 00016S rRNA targeting oligo probes was used to identifyculture collection species and subsequently to character-
ize populations of airborne bacteria at the level of higherphylogenetic taxa (Wilson
et al
2002) A 16S rRNA genebased oligonucleotide microarray targeting and coveringthe entire known diversity of sulphate reducers was devel-oped and successfully validated with environmental sam-ples (Loy
et al
2002)In most cases the target consists of labelled large gene
fragments (several hundred nucleotides long) increasingthe potential for the accumulation of background signalarising from a low rate of non-specific hybridization Alter-native labelling approaches such as terminal transferaselabelling of specific oligonucleotides (Rudi
et al
2002)and the application of end labelled specific stackingprobes in conjunction with immobilized capture probes(Small
et al
2001) may improve the detection limit ofdiagnostic microbial microarrays by decreasing the abovementioned non-specific background hybridization
Microbial community structures can be assessed by thequantitative analysis of micro or macroarray results Asimple and elegant method to quantify specific microbialgenes from a sample has recently been published (Choand Tiedje 2002) In this method gene fragments (500ndash900 bp in length) were applied as probes Each spot con-sisted of a mixture of an individual probe and a commonreference gene fragment Hybridization was done with aCy3-labelled environmental mixture and a Cy5-labelledreference DNA Quantification was based on the Cy3Cy5ratios Unfortunately the same principle cannot be appliedto the quantification of oligonucleotide chip results becauseof the inherent differences in hybridization efficienciesbetween oligonucleotide probes In practice a differentreference oligo for each probe should be designed
Even though high expectations exist for diagnosticmicrobial microarrays applications utilizing their fullpotential (high throughput detection of large numbers ofmicrobes and quantitative assessment of their communitystructures) are still very limited (Loy
et al
2002) Part ofthe reason for this is that a technical platform of reason-able cost based on readily available consumables andequipment with demonstrated potential in high-through-put quantitative microbial diagnostics is missing
Here we describe the development and validation of adiagnostic microbial microarray for the high-throughputdetection and community structure analysis of methan-otrophic and functionally related bacteria A set of tech-niques based on well established and widely appliedtechnologies and commercially available consumablesand equipment is reported
Results and discussion
Protocol optimization
One of the main problems when designing oligonucleotidemicroarrays is to achieve nearly identical melting temper-
568
L Bodrossy
et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd
Environmental Microbiology
5
566ndash582
atures for all the probes on the array One potentialapproach to achieving this is the use of hybridization buff-ers containing tertiary amine salts Tetramethyl ammo-nium chloride (TMACl) or tetraethyl ammonium chloride(TEACl) have been successfully applied to enable GC-content independent hybridization on nitrocellulose ornylon membranes (Wood
et al
1985 Spiro
et al
2000)The present weakness of this approach is the lack ofdetailed information on the thermodynamics of hybridiza-tions in such solutions making it impossible to predict theeffects of further factors (as detailed later in this paper)on the behaviour of a given oligo probe Further the effectof tertiary amine salts on the different present and futuresurface chemistries is largely unknown Thus we choseanother approach by designing oligos which should havenearly identical melting temperatures in lsquotraditionalrsquo hybrid-ization buffers
Many independent studies have shown that stericeffects (interference of the solid support on the hybridiza-tion properties of the immobilized oligos and steric hin-drance resulting from the crowding of immobilized oligos)can seriously hinder the accessibility of immobilized oli-gonucleotide probes (Gou
et al
1994 Shchepinov
et al
1997 Brown and Anthony 2000) These effects are suc-cessfully mitigated by the application of spacer moleculesIn our hands a C12 linker and an extra five thymidineresidues at the 5
cent
end provided optimal spacing additionof further thymidine residues had no significant effect onthe hybridization capacity (accessibility) of the oligostested (data not shown)
Dimethylsulphoxide (DMSO) (50 vv in dH
2
O) wasselected as the printing buffer because it did not dry outduring long spotting rounds and provided uniform spotson the slides Standard deviations in signal intensitiesbetween replicate spots were 10ndash15 as opposed to 20ndash30 for arrays printed from 3
yen
SSC (data not shown)Spotting was done with a single pin to avoid variationsinherent in spotting with multiple pins
Several alternative approaches (methods are availablefrom the authors upon request) were tested for targetpreparation These included direct incorporation of Cy-labelled dNTPs into dsDNA during PCR application of alabelled PCR primer for the generation of dsDNA targetsand application of a labelled and a biotinilated PCR primerfor the generation of ssDNA targets via subsequent sep-aration of the two strands using streptavidin coated mag-netic beads As the secondary structure of the target playsa very significant role in determining the maximal hybrid-ization signal obtainable with a given probe (lsquohybridizationcapacityrsquo) it was an absolute necessity to fragment thetarget before hybridization RNA targets were generatedbecause RNA can be fragmented in a random manner viachemical fragmentation (Hughes
et al
2001) A furtheradvantage of using RNA targets is that the direct incorpo-
ration of the Cy-labelled nucleotides by the T7 RNA poly-merase is very efficient (Only a fourfold decrease wasobserved in RNA yield when 50 of UTP was replacedwith Cy3-UTP during
in vitro
transcription) Yields of targetpreparation were in the range of 50 ng
m
l
-
1
concentration(2500 ng) with every 10th to 12th nucleotide beinglabelled Fragmentation of the target RNA to an averagefragment size of 50 nucleotide (Hughes
et al
2001)resulted in a significant enhancement of hybridization Inspite of the sensitivity of the Cy dyes to nucleophilic attackapplied for RNA fragmentation an increase by over anorder of magnitude in the Cy3 as well as in the Cy5signals was observed (compared to signals obtained withunfragmented target RNA) Furthermore in many casesfragmentation decreased the differences between thehybridization capacities of probes (data not shown)Hybridization conditions were chosen which were relaxedenough to enable the hybridization of both perfect match(PM) and single mismatch (1 MM) targets
As the hybridization between oligonucleotides and anyother type of nucleic acid (oligonucleotide gene fragmentRNA etc) is a reversible process all hybridizations werecarried out overnight (16 h) to ensure complete hybridiza-tion In static microarray hybridizations diffusion is the onlyprocess providing mixing Statistical errors in the finalsignal are inherent in such a diffusion limited systemFurthermore such circumstances usually result in theedges of probe sets hybridizing more efficiently thus yield-ing a relatively strong signal for the edge of the spot anda much weaker one for the centre To overcome theselimitations a custom modified BellyDancer laboratoryshaker and sticky hybridization chambers with significantlyhigher volumes than those which exist between a microar-ray and a traditional coverslip were used The tiny bubblesunavoidably formed within this chamber were slowlymoved to the edge due to the motion of the BellyDancerand this provided enough extra mixing to ensure a rea-sonably uniform hybridization across the whole microarray
Standard deviation of results for (triplicate) spots ofindividual probes was 3 to 30 between parallel slideshybridized with targets prepared in parallel (slide-to-slidevariation)
The extent to which the application of different
pmoA
amoA
specific PCR primers influenced the results wasinvestigated Two alternative reverse primers were usedfor target amplification The primer
pmoA
682 can amplify
pmoA
amoA
and similar sequences and yields a productof 531 bp with the forward primer
pmoA
189 The primermb661 is specific for
pmoA
-type sequences and yields aslightly shorter (508 bp) product (Bourne
et al
2001) Asmany of the environmental
pmoA
clones were obtainedwith the latter primer both primer pairs were appliedStandard deviations between results generated with thedifferent primer pairs were 10ndash30 not exceeding that
Diagnostic microarray for methanotrophs
569
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd
Environmental Microbiology
5
566ndash582
between parallel experiments using the same primerpairs
Probe set design and validation
A database of over 700
pmoA
amoA
sequences wasestablished from public database entries and in part fromunpublished sequences (courtesy of A Auman S
Dedysh P Dunfield W Liesack I McDonald S Morrisand S Nold) Full-length and nearly full-length [ie cover-ing positions 206ndash661 of the
Mc capsulatus
(Bath)
pmoA
gene] as well as some of the (unique) shorter sequences(514 entries) were used to create a phylogenetic tree
One hundred and eighteen
pmoA
amoA
based oligonu-cleotide probes were designed A nested set of 68 probes(Table 1) was selected by omitting redundant probes The
Table 1
Set of oligonucleotide probes synthesized and spotted for evaluation Positions of mismatches with target sequences are indicated byboldfaced and underlined characters Melting temperatures were calculated by the nearest neighbour method
Name
a
Intended specificity Sequence 5
cent
AElig
3
cent
b
Length T
m
Selected
c
MM
d
Mb460
Methylobacter
GACAGTTACAGCGGTAATCGGTGG
24 609
+
Mb478
Methylobacter
TGGTATGGC
A
TGGGGTCTGT
20 597
+
TMb271
Methylobacter
TTGTGGTGGCGTTACCGT
18 580
+
511ndash436
Methylobacter
GTTTTGATGCTGTCTGGCAG
20 555
+
BB51-299
Methylobacter GCGCGGTTGTTTGTGTCT 18 574 ndashMb292 Methylobacter CCGTTACCGTCTGCCTTTCG 20 591 + T ATMm275 Methylomonas GTGGTGGAGATACCGTTTGCC 21 592 +Mm391 Methylomonas ATTTGCTTCCCATCTAACCTG 21 540 ndashPS80-291 clone PS-80 ACCAATAGGCGCAACACTTAGT 22 583 +peat1ndash3-287 Metylomonas-related peat clones AACTGCCTTTAGGCGCTACC 20 586 +Mb_SL1ndash421 soda lake Methylobacter isolates and clones GCGATCGTATTAGACGTTATCCTG 24 564 ndashMb_SL-299 soda lake Methylobacter isolates and clones GGGGTGCAACTCTGTGTATCTTAGG 25 605 + TJpn284 clone Jpn 07061 ACCGTATCGCATGGGGTG 18 580 +Mm_pel467 Methylomicrobium pelagicum ACTGCGGTAATCGATGGTTTGGC 23 616 +Est514 Methylomicrobium-related clones AATTGGCCTATGGTTGCGCC 20 599 +LP20-644 Methylomicrobium-related clones GGTACACTGCGTACTTTCGGTAA 23 582 +Mmb303 Methylomicrobium album CAATGCTGGCTGTTCTGGGC 20 603 +Ia193 Type I a (M bacter-M monas-M microbium) GACTGGAAAGATAGACGTCT 20 519 ndashIa577 Type I a (M bacter-M monas-M microbium TGGCTGACTTGCAAGGTTACC 21 589 + ANc_oce426 Nitrosococcus oceani CTTGGATGCCATGCTTGCGA 20 598 +Mth413 Methylothermus CACATGGCGATCTTTTTAGACGTTG 25 583 +Mc396 Methylococcus CCCTGCCTCGCTGGTGC 17 619 + C A501ndash286 Methylococcus-related clones GTCAGCCGTGGGGCG 15 590 ndashfw1ndash639 Methylococcus-Methylocaldum related clones GAAGGGCACGCTGCGTACG 19 620 + T CM90-201 Methylocaldum-related clones CGGCTGCTGTACAGGCGTTC 20 618 +Mcl408 Methylocaldum GGTTCCGGGTGCGATTTTG 19 578 +Ib453 Methylococcus-Methyocaldum and related GGCAGCTACCTGTTCACCGC 20 617 + GIb559 Methylothermus-Methylococcus-Methyocaldum
and relatedGGCATGCTGATGTCGATTGCCG 22 605 + C C C
Mcy262 Methylocystis CAGGCGTTCTGGTGGGTGAA 20 610 + T TMcy409 Methylocystis and peat clones ATCGTTCCGGCGATCTGGC 19 610 + U C
+hairpinPeat264 peat clones GGCGTTTTTCTGGGTCAACTTCC 23 603 +Msi520 Methylosinus GCGATCGCGGCTCTGCA 17 616 +Msi_tri309 Methylosinus CGCGGTTCTGGGTCTGCTC 19 614 + C C A GMsi270 Methylosinus GTTCTTCTGGGAGAACTTCAAGC 23 571 ndashMsi232 Methylosinus CCTGGGCGTGACCTTCGC 18 610 + T C G TGII510 Type II methanotrophs CGAACAACTGGCCGGCG 17 600 +II630 Type II methanotrophs CATGGTCGAGCGCGGC 16 597 +RA14-598 RA14 related clones AACGTTCGTACCTCGATGCC 20 583 + TT C CB2rel260 Methylocapsa-related clones GCCCAGTATTATTTCTGGACCCCAT 25 604 + Most of GC
at theends
B2-400 Methylocapsa ACCTCTTTGGTCCCGGCTG 19 605 +B2all343 Methylocapsa and related clones AACCGCTACACCAATTTCTGGCG 23 618 + CpmoAMO3-400 clone pmoA-MO3 CCCAGATGATCCCGTCGGC 19 608 +xb6ndash539 Methanotroph-related clones AGGCCGCCGAGGTCGAC 17 630 +LP21-190 Methanotroph-related clones ATCGACTTCAAGGATCGCCG 20 582 ndashLP21-232 Methanotroph-related clones ATCGTCGCCATGTGCTTCGC 20 619 +mtrof173 Universal GGbGACTGGGACTTCTGG 18 582 +mtrof362-I Methanotrophs TGGGGCTGGACCTACTTCC 19 595 ndashmtrof656 Methanotrophs ACCTTCGGTAAGGACGT 17 532 +mtrof661 Methanotrophs GGTAARGACGTTGCKCCGG 19 619 +mtrof662-I Methanotrophs GGTAAGGACGTTGCGCCGG 19 619 ndashNmNc533 Nitrosomonas-Nitrosococcus CAACCCATTTGCCAATCGTTGTAG 24 586 + G C
570 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
probes targeted different species groups of species gen-era as well as higher taxonomic groups of methanotrophsand related bacteria Several broad specificity probes tar-geting AOBs were also designed and included in order toimprove the potential of the array for analysing variousenvironments including those potentially dominated byAOBs Two probes (mtrof173 and mtrof661) weredesigned to target the PCR primers pmoA189 and mb661respectively A third probe lsquouniversalrsquo to methanotrophs(mtrof362-I) was designed for a region in the middle of thepmoA sequence which is reasonably conserved amongstmethanotrophs
The most critical step of the probe design process is tofine tune the probe set in a way that all probes in the setdisplay hybridization behaviour as identical as possible Inthe first stage an attempt was made to design oligos withpredicted melting temperatures [according to the nearestneighbour model (Breslauer et al 1986)] of 60 plusmn 2infinC Insome cases this was not possible because of the limitedlength of differentiative sequence regions When no alter-native probe sites were found the probes with suboptimalmelting temperatures were accepted and synthesized Aspresent models can only predict melting temperatures offree oligos but not of those bound to solid surfaces (seedetailed discussion below) probes with suboptimal pre-dicted melting temperature do not necessarily performsuboptimally
The hybridization behaviour of oligonucleotide probesimmobilized onto a solid surface depends on several fac-tors Length GC content and exact sequence of theprobe these together are considered when predicting Tm
for the oligos by using the nearest neighbour method
(Breslauer et al 1986) Position of GC and AT pairs themiddle of the probe is more important in stabilizing hybrid-ization thus a probe with most of its GC content in themiddle binds to its target more strongly than another onewith homogenous GC distribution (but with identical lengthand GC content) (Guo et al 1994 Shchepinov et al1997 Hughes et al 2001) Secondary structures of theprobe and of the corresponding target when any of thesetwo are of significant strength compared to the strengthof hybridization between the probe and the target a sig-nificant drop in hybridization efficiency is expected Theexact nature of the overhanging nucleotides on the target(nucleotides immediately next to the area targeted by theprobe) this comes from the nearest method model butisnrsquot normally accounted for because the overhangs of thetarget sequence are not considered Number and type ofmismatches some mismatches have little while othershave very strong destabilizing effect (Sugimoto et al2000) Position of mismatches mismatches in the middleare more destabilizing than mismatches at end positions(Fotin et al 1998) Factors arising from the immobilizednature of the probes steric effects can hinder the forma-tion of hybrids between the target and the bound probeThis effect is much stronger for the immobilized end of theprobe Thus the bound end of the probe plays a lesserrole in the hybridization than the free end (Guo et al1994 Shchepinov et al 1997 Hughes et al 2001) Thisapplies for the position of GC and AT pairs as well as forthe position of mismatches Hybridization between DNAoligos and RNA fragments as in our case has slightlydifferent thermodynamics to that of DNAndashDNA hybridiza-tion (Hung et al 1994 Sugimoto et al 2000)
Nsm_eut381 Nitrosomonas eutropha CCACTCAATTTTGTAACCCCAGGTAT 26 590 +Pl6ndash306 Nitrosomonas-Nitrosococcus related clones GGCACTCTGTATCGTATGCCTGTTAG 26 605 +PS5-226 Nitrosomonas-Nitrosococcus related clones ACCCCGATTGTTGGGATGATGTA 23 599 +NsNv207 Nitrosospira-Nitrosovibrio TCAATGGTGGCCGGTGG 17 585 + GNsNv363 Nitrosospira-Nitrosovibrio TACTGGTGGTCGCACTACCC 20 596 + A T TNit_rel223 AOB related clones GTCACACCGATCGTAGAGGT 20 569 +Nit_rel351 AOB related clones GTTTGCCTGGTACTGGTGGG 20 592 +Nit_rel470 AOB related clones CGATATTCGGGGTATGGGCG 20 584 + ANit_rel304 AOB related clones CGCTCTGCATTCTGGCGCT 19 618 +M84P105-451 environmental clones of uncertain identity AACAGCCTGACTGTCACCAG 20 581 +WC306ndash54ndash385 environmental clones of uncertain identity AACGAAGTACTGCCGGCAAC 20 592 +M84P22-514 environmental clones of uncertain identity AACTGGGCCTGGCTGGG 17 610 +gp23ndash454 environmental clones of uncertain identity AACGCGCTGCTCACTGCG 18 623 +MR1-348 environmental clones of uncertain identity AATCTTCGGTTGGCACGGCT 20 611 +gp391 environmental clones of uncertain identity ATCTGGCCGGCGACCATG 18 611 +gp2ndash581 environmental clones of uncertain identity ACATGATCGGCTACGTGTATCCG 23 600 +RA21-466 clone RA21 ndash environmental clone of
uncertain identityCGGCGTTCTTGGCGGCAT 18 624 +
Namea Intended specificity Sequence 5cent AElig 3centb Length Tm Selectedc MMd
a Numbers at the end of the probe names refer to their relative positions on the Mc capsulatus (Bath) pmoA geneb Sequences are of the sense strandc Oligonucleotide probes of the final probe set are indicated by +0 Probes not selected are indicated by ndashd Nucleotide residue(s) at mismatch position(s) Other factors included in the calculation of weighed mismatches are also indicated
Table 1 cont
Diagnostic microarray for methanotrophs 571
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Based on the above criteria on initial results from test-ing the hybridization behavior of our probes and on pub-lished data (Shchepinov et al 1997 Fotin et al 1998Meroueh and Chow 1999 Sugimoto et al 2000) a set ofsimple findings was compiled which significantly improvedthe prediction of the hybridization behaviour of the probesThese findings are
(i) UAEligC changes in the target sequence leads to an rG-dT bond which is almost as strong as the original rA-dT bond (for perfect match cases) These are notconsidered as mismatches
(ii) GAEligA changes in the target sequence leads to an rU-dG bond which is almost as strong as the original rC-dG bond (for perfect match cases) These mis-matches are considered only if they are presenttogether with other types of mismatches
(iii) Mismatches in the end positions are not consideredMismatches adjacent to the end positions are consid-ered only if they are present together with other typesof mismatches
(iv) If most of the GC content of a probe is close to the5cent (immobilized) end the probe will display a signifi-cantly lower melting temperature than originally pre-dicted The same is true for a G or C residue in the3cent end position
(v) Probes with strong hairpin structures (DG ge 20) wereconsidered as having an extra mismatch to the target
(vi) High GC content probes shorter than 17 nucleotidesin length display unreliable hybridization behaviorunder the experimental conditions applied
Considering the above points another nine probeswere excluded and mismatch values were updated toweighed mismatch values The resulting set of 59 oligo-nucleotide probes was validated with a reference set of59 pure strains and environmental clones covering almostthe entire known diversity of methanotrophsand bacteriacarrying pmoAamoA homologues (listed in Fig 2) Sev-eral AOB clones were also included in the validationHybridizations were carried out at 55infinC with the aim ofallowing for perfect match and single (weighed) mismatchprobe-target pairs to hybridize Figure 1 shows some typ-ical hybridization results Hybridization between a probeand a target was considered positive if the signal was atleast 5 of the signal obtained for mtrof173 on the samearray There were unfortunately groups of clones forwhich no representative was available Figure 2 shows thepredicted hybridization behaviour of the probe set and theresults obtained
Out of 59 probes in the probe set we were unable toobtain reference targets for seven which were thus notpossible to validate Most (42) probes displayed hybridiza-tion behavior as predicted Two probes II510 and II630were expected to have unreliable hybridization behaviour
because of their shortness (in combination with a strongsecondary structure in case of II510) These two probeswere left in the probe set as we were unable to identify abetter region for a probe specific to the Type II methan-otrophs Eight probes displayed some unpredicted resultsThe unexpected positive result of Mcy409 came from acombination of a strong secondary structure and a mis-match The unexpected negative results of Msi232 wasobtained with targets displaying two adjacent mismatchesright at the 3cent end plus a third one at different internallocations of the probe Probe Ia577 displayed unexpectednegative results to three targets all having the a singlecentral mismatch U(r)A change resulting in an rU-dT pairreplacing the perfect match rA-dT pair
Fifty out of the 59 probes were succesfully validated(seven probes with no reference targets available and twosuboptimal probes II510 and II630 were not) Of the 2950individual hybridization reactions (50 validated probes yen59 reference strainssequences) 2931 (993) yieldedthe expected result by either showing detectable signalwhere expected or by no hybridization where a negativeresult was predicted Only 19 of the hybridization reac-tions (07) resulted in false negative or positive hybrid-ization Forty-two out of the 50 probes consideredbehaved 100 as predicted (in all of the hybridizationreactions) This success rate is acceptable when redun-dant probe sets (three or more probes for each speciesor higher taxonomic group targeted) are and can bedesigned There is however a need for an improvedmethod to predict hybridization behaviour of oligonucle-otide probes About half of the unpredicted results wereassociated with complicated cases where additionalparameters influencing hybridization behaviour had to beconsidered together with mismatches Mismatches espe-cially when their relative positions are also consideredcan reliably be accounted for only by a nearest-neighbourmethod based algorithm Software applying such an algo-rithm which considers further effects arising from theimmobilized nature of the probes as well as the second-ary structure of the probe and the target via user definedparameters is badly needed A computer program underdevelopment called CALCOLIGO is aiming exactly at fillingthis gap (J Csontos Bay Zoltaacuten Institute for Biotechnol-ogy Szeged Hungary pers comm)
Despite its apparent shortcomings the probe set candiagnose almost the entire known diversity of methanotro-phs and bacteria carrying pmoAamoA homologues Thegaps in the validation of probe set represent probesagainst unique clones or small groups of clones whichseem to be very poorly represented in the environmentsinvestigated so far Results from environmental samplesneed to be referred to the validation results with the ref-erence set rather than to the predicted ones thus mini-mizing the chances of false interpretation of results
572 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Evaluation of the microarray with environmental samples
To assess the applicability of the developed methanotrophmicroarray in environmental studies two different environ-mental samples were analysed
The first experiment was carried out with a soil samplefrom a landfill site collected at the end of the summerMicroarray results indicated that strains related to thegenera of Methylocaldum and Methylocystis were mostabundant in this sample In addition to Methylocaldum andMethylocystis pmoA specific probes general pmoAprobes for the B subgroup of Type I methanotrophs andfor the Type II methanotrophs also showed positive hybrid-ization Two further probes Mb478 and Msi232 were pos-itive Mb478 was known from the validation set to
hybridize strongly to pmoA of Methylocaldum tepidumthus this signal was accounted for as arising from Methy-localdum-related bacteria Msi232 is a probe with a singlemismatch towards pmoA from most Methylocystis strainsDuring validation experiments it was shown to displaystrong hybridization signal with pmoA from one clade ofMethylocystis Thus (weak) positive results with Msi232were accounted for as arising from Methylocystis relatedbacteria To confirm these results a pmoA clone librarywas constructed Out of 100 clones sequenced 91 con-tained inserts with high homology to pmoA sequencesSixty-five per cent of these clones were related to pmoAfrom Methylocaldum and 31 to pmoA from Methylocys-tis confirming the results of the microarray analysis Afurther 3 of the clones showed highest similarity to
Fig 1 A Schematic diagram of the microarray design Arrays were spotted in triplicate Frames indicate universal (lsquomtrofrsquo) probes spotted in multiple copies and spots with an external positive control probe (lsquohyaBprsquo results of this were not considered or used in the present study)B Detailed design of a single array with exact positions for each probeC Representative hybridizations with reference strains or environmental clones Probe hyaBp targets an independent gene (hyaB of E coli) It can be applied as an alternative control spot for normalization after spiking of the in vitro transcription reaction with hyaB PCR product Note that results of probe hyaBp were not considered throughout the work presented here Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Diagnostic microarray for methanotrophs 573
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig
2
Ran
ge o
f st
rain
cov
erag
e fo
r ol
igon
ucle
otid
e pr
obes
tar
getin
g pm
oAa
moA
gen
es o
f m
etha
notr
ophs
A
OB
s an
d ba
cter
ia c
arry
ing
pmoA
am
oA h
omol
ogue
s A
sim
ilar
tabl
e w
ith a
ll 51
4 se
quen
ces
cons
ider
ed (
with
out
hybr
idiz
atio
n re
sults
) is
ava
ilabl
e fr
om t
he a
utho
rs u
pon
requ
est
Und
er lsquoP
robe
srsquo b
lack
fill
indi
cate
s ex
pect
ed p
ositi
ve r
esul
ts
grey
fill
indi
cate
s po
sitiv
e re
sults
not
pr
edic
ted
and
thic
k bl
ack
fram
ing
indi
cate
s ne
gativ
e re
sults
whe
re h
ybrid
izat
ion
was
pre
dict
ed W
hite
num
bers
insi
de b
lack
and
gre
y bo
xes
indi
cate
the
num
ber
of lsquom
ism
atch
equ
ival
ents
rsquo as
desc
ribed
in t
he r
elev
ant
sect
ion
of R
esul
ts L
ette
rs in
gre
y bo
xes
indi
cate
pro
bes
of u
nrel
iabl
e hy
brid
izat
ion
beha
viou
r lsquoA
cent a
shor
t pr
obe
with
sig
nific
ant
seco
ndar
y st
ruct
ure
lsquoBcent a
sho
rt p
robe
N
ames
of
envi
ronm
enta
l clo
nes
are
prec
eded
by
an in
dica
tion
of t
heir
pred
icte
d im
med
iate
phy
loge
netic
rel
atio
nshi
p H
ighe
st a
nd lo
wes
t si
gnal
val
ues
( o
f th
at o
f m
trof
173
) ob
tain
ed w
ith f
ull
mat
ch ta
rget
s ar
e in
dica
ted
(lsquomax
val
rsquo an
d lsquom
inv
alrsquo)
Gre
y bo
xes
indi
cate
dat
a w
hich
are
not
rep
rese
ntat
ive
(Jpn
284
Est
514
Nc_
oce4
26 g
p23ndash
454
and
MR
1-34
8 n
o fu
ll m
atch
ref
eren
ce ta
rget
av
aila
ble
II5
10 a
nd I
I630
sho
rt p
robe
s of
unr
elia
ble
hybr
idiz
atio
n be
havi
our
B2r
el26
0 an
d N
sNV
207
dat
a fr
om s
ingl
e m
ism
atch
tar
gets
mtr
of 1
73 r
efer
ence
pro
be m
trof
661
tar
getin
g th
e re
vers
e pr
imer
app
lied
in m
ost
ampl
ifica
tions
) A
pm
oAa
moA
DN
A n
eigh
bour
tre
e is
add
ed t
o th
e le
ft pr
ovid
ing
furt
her
insi
ght
into
the
phy
loge
netic
rel
atio
nshi
ps o
f th
e re
fere
nce
set
The
sca
le
bar
indi
cate
s th
e es
timat
ed n
umbe
r of
bas
e ch
ange
s pe
r nu
cleo
tide
sequ
ence
pos
ition
Str
ain
C
lon
eP
r o
b e
s
Mm275
PS80-291
Mb460
Mb478
Mb271
511-436
Mb292
peat1-3-287
Mb_SL-299
Jpn284
Mm_pel467
Est514
LP20-644
Mmb303
Ia577
Nc_oce426
Mth413
Mc396
fw1-639
M90-201
Mcl408
Ib453
Ib559
Mcy262
Mcy409
Peat264
Msi520
Msi_tri309
Msi232
II510
II630
RA14-598
B2rel260
B2-400
B2all343
pmoAMO3-400
xb6-539
LP21-232
NmNc533
Nsm_eut381
Pl6-306
PS5-226
NsNv207
NsNv363
Nit_rel223
Nit_rel351
Nit_rel470
Nit_rel304
M84P105-451
WC306_54-385
M84P22-514
gp23-454
MR1-348
gp391
gp2-581
RA21-466
mtrof173
mtrof362-I
mtrof661
L21
2224
2018
2020
2025
1823
2023
2021
2025
1719
2019
2022
2019
2317
1918
1716
2025
1923
1917
2024
2626
2317
2020
2020
1920
2017
1820
1823
1818
1919
Tm
5958
6160
5856
5959
6158
6260
5860
5960
5862
6262
5862
6161
6160
6261
6160
6058
6061
6261
6362
5959
6160
5960
5759
5862
5859
6162
6161
6062
5860
62
Min
val
130
26
389
353
14
16
50
NA
77
NA
31
NA
152
41
22
NA
41
175
312
10
47
50
256
194
20
75
32
46
54
11
10
513
22
64
78
NA
192
87
189
91
373
112
12
335
49
103
29
88
111
17
116
NA
NA
22
34
58
100
84
NA
Max
val
180
26
389
353
72
16
80
NA
108
NA
31
NA
166
41
50
NA
41
175
312
10
47
158
371
194
38
75
34
46
167
39
29
513
22
64
89
NA
192
278
189
91
373
112
15
335
49
166
29
88
111
17
116
NA
NA
22
34
58
100
270
NA
Met
hyl
om
on
as c
lon
e M
90-P
12+
33
1M
eth
ylo
mo
nas
clo
ne
mv1
9pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv2
1pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv9
pa
+2
++
1M
eth
ylo
mo
nas
met
han
ica
clo
ne
D1
+2
++
2++
clo
ne
PS
-80
2+
33
Met
hyl
ob
acte
r cl
on
e S
L-5
102
2+
++
32
33
+3
Met
hyl
ob
acte
r cl
on
e m
v6p
b2
+3
1+
2+ +
Met
hyl
ob
acte
r cl
on
e m
v16p
a+
3+
3M
eth
ylo
bac
ter
clo
ne
5hm
-81
+3
32
+3
Un
iden
tifi
ed s
trai
n L
K5
1+
Met
hyl
ob
acte
rcl
on
e 5h
m-2
21
22
+3
1+
3M
eth
ylo
bac
ter
clo
ne
RB
-16
12
+3
2+
1M
eth
ylo
bac
ter
clo
ne
SL
-41
+3
3+
2+
Met
hyl
ob
acte
r c
lon
e 5h
m-2
31
32
+2
+M
eth
ylo
bac
ter
clo
ne
RB
-100
1+
33
2+
2+
Met
hyl
ob
acte
r c
lon
e L
OP
B 1
35
33
1+
31
+3
+L
P 2
0 g
rou
p c
lon
e M
90-P
503
++
1+
LP
20
gro
up
clo
ne
M90
-P24
3+
+1
+M
eth
ylo
mic
rob
ium
alb
um
BG
83
++
+2
+ ++
Met
hyl
osa
rcin
a fi
bri
ata
AM
L-C
10+
23
2+
+2
+
++2
+M
eth
ylo
ther
mu
sst
rain
HB
2+
1+
Met
hyl
oco
ccu
s ca
psu
latu
s (
Bat
h)
33
+2
++
Met
hyl
oco
ccu
s ca
psu
latu
s B
L4
33
12
++
++
501
gro
up
clo
ne
FW
-18
+1
+1
+ F
W-1
gro
up
clo
ne
pA
MC
512
33
+2
++
2M
eth
ylo
cald
um
rel
ated
clo
ne
M84
-P11
32
++
13
3+
+M
eth
ylo
cald
um
rela
ted
clo
ne
M90
-P75
33
2+
+1
33
++
Met
hyl
oca
ldu
m t
epid
um
LK
6+
+1
++
1M
eth
ylo
cyst
is c
lon
e S
L-5
70
+1
1A
B+
2M
eth
ylo
cyst
is c
lon
e L
OP
A 1
35
22
31
AB
1+
+M
eth
ylo
cyst
is c
lon
e F
12
+1
1A
B1
+1
Met
hyl
ocy
stis
str
ain
M2
+1
1A
B1
3+
+M
eth
ylo
cyst
is p
arvu
s O
BB
P2
+1
1A
B2
3gt7
+1
Pea
t cl
on
e P
129
E+
31
AB
+2
Met
hyl
osi
nu
scl
on
e rb
p46
3+
+A
B3
1M
eth
ylo
sin
us
tric
ho
spo
riu
m O
b3b
3+
+A
B3
+1
Met
hyl
osi
nu
s c
lon
e L
OP
B 1
33
33
3+
AB
13
+1
Met
hyl
osi
nu
s sp
ori
um
SE
23
++
AB
1+
+U
nid
enti
fied
str
ain
Y3
+A
B1
++
RA
14 g
rou
p c
lon
e R
A14
1+
+2
Met
hyl
oca
psa
rel
ated
clo
ne
JY-6
48
32
11
+3
Met
hyl
oca
psa
rel
ated
clo
ne
LO
PB
13
43
21
++
2M
eth
ylo
cap
sa a
cid
op
hila
B2
B1
++
gt7+
2L
P21
gro
up
clo
ne
P13
63
23
++
+1
LP
21 g
rou
p c
lon
e m
v12p
a+
1L
P21
gro
up
clo
ne
LO
PA
12
8B
3B
32
+2
++
1N
itro
som
on
as c
lon
e g
p1a
+1
1+
Nit
roso
mo
nas
eu
tro
ph
a1
+2
2+
Nit
roso
mo
nas
rela
ted
clo
ne
pl6
3+
21
2+
Nit
roso
mo
nas
rel
ated
clo
ne
PS
-5+
12
+N
itro
sosp
ira
clo
ne
LO
PA
12
32
++
AO
B r
elat
ed c
lon
e P
124
++
+A
OB
rel
ated
clo
ne
LO
PA
12
4+
1+
AO
B r
elat
ed c
lon
e g
p22
3+
+cl
on
e M
84-P
105
3+
clo
ne
WC
306-
54+
++
+ +cl
on
e M
84-P
222
1cl
on
e R
A21
3
+
+
+
+
01
1
+
+
+ +
+
574 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
pmoA from Methylomicrobium album strains The pres-ence of the Methylomicrobium album related strains wasnot detected by the microarray (relevant specific probeMmb303) This is due to the current detection limit whichis about 5 of cells in relation to the total bacterial com-munity analysed (ie containing pmoAamoA genes)There is also a statistical uncertainty in the percentagevalues derived from the analysis of only 91 clonesMicroarray and clone library results are shown on Fig 3
The second experiment was done using a sample froma soil microcosm incubated with CH4 as described byRadajewski et al (2002) Microarray experiments indi-cated the presence of methanotrophs belonging to twoclades The first clade the lsquopeat clonesrsquo group belongs toType II methanotrophs and is only known from acidic(peat) environments so far There are no cultured repre-sentatives of this group yet The second clade the LP21group is related to the Methylocapsa and to the RA14groups This clade consists of environmental clones ofvarious origins and of the lsquounusualrsquo second pmoA copiesfound in some Type II methanotrophs (Dunfield et al2002) This environmental sample has already beenanalysed by clone library construction and sequencing(Radajewski et al 2002) Fifty pmoAamoA clones wereanalysed (Fig 4) Eighteen per cent of the clonesbelonged to the peat clones group and 70 to the LP21group confirming the microarray results detecting thesetwo groups as the dominant ones Four per cent of theclones analysed belonged to the NitrosomonasNitroso-coccus group and 8 to the gp2 group The latter twogroups were not detected by the microarray analysis (rel-evant probes were NmNc534 for the NitrosomonasNitrosococcus group and gp391 and gp2ndash581 for the gp2group) The abundance of these groups was very near tothe detection level Furthermore the clone library and themicroarray analyses were done from different PCR reac-tions carried out from the same environmental DNAstock but in different laboratories Thus different PCRbiases may account for the discrepancy between themicroarray and clone library analysis results for these lowabundance sequences
Quantification of methanotrophs and related bacteriabased on pmoAamoA sequences is potentially biased bythe different number of pmoAamoA gene copies per cellThis has to be taken into account when interpreting suchresults
Quantification potential
Quantification potential of the developed microarray wastested with artificial mixtures of pmoA sequences Thisway it was possible to avoid the introduction of biasesinherent in DNA purification from environmental samplesand PCR with degenerate primers (Reysenbach et al
1992 Witzingerode et al 1997 Polz and Cavanaugh1998 Ishii and Fukui 2001) and the results show thepotential of the array to reflect the composition of the PCRmixture (rather than that of the original environmentalDNA or the original microbial community) By employinga reference mixture of known composition it was possibleto normalize variations in spot morphology and local dif-ferences in hybridization efficiency as well as for the sig-nificant variation in hybridization capacities betweendifferent probes
Our results shown in Fig 5 showed very good corre-lation between the true composition of the artificial mix-tures and the results of quantitative analysis of thehybridization results Standard deviation from expectedratios were in the range of 04ndash172 These results showthe potential of the microarray approach to reflect theratios within the PCR product (used as template for targetpreparation) As the first steps of the procedure includeenvironmental DNA purification and PCR with universalprimers the microarray approach is also prone to the biasinherent in these techniques
Quantification potential was further tested with the land-fill site and microcosm environmental samples (Fig 6)Results from the first analyses (hybridization with Cy3-labelled target prepared from environmental DNA) wereused to gain a rough estimate of the relative abundanceof methanotrophs in these samples Based on theseresults a mixture of reference sequences covering theobserved diversity was designed and labelled with Cy5Competitive (lsquotwo-colourrsquo) hybridization with the Cy3-labelled environmental and the Cy5-labelled reference tar-get was used to refine quantitative assessment of meth-anotroph community composition
In this quantification scheme a one-colour hybridizationis carried out first giving a rough estimation of the com-munity structure by referring back the relative intensitieson the array to the results from the reference straincloneset This information can also be used to select a subsetof reference strainsclones to be used in the next stagewhere the same target is then hybridized against theselected reference set and quantitative data are drawnfrom the ratios of the two signals The basic requirementof such a two-colour quantification approach is the abilityto identify and create an appropriate reference set Thisshould consist of sequences as similar to those in thesample as possible Failure to do so will result in skewedpredicted ratios Even though this limits the applicationpotential of this approach it can be very useful in studieswhere the same community is analysed over time or underdifferent conditions
By comparing the results of the two-colour microarrayhybridizations to the composition of the correspondingclone libraries (landfill site 14ndash30 predicted for Methy-localdum and 21ndash28 for Methylocystis versus 65 and
Diagnostic microarray for methanotrophs 575
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 3 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the landfill site sample The number of clones (out of 91 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the landfill site sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15Methylomonas methanica
Methylobacter sp LW 12Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
Nitrosococcus oceanus
31
66
Methylomicrobium album
Methylobacter sp LW 1M2 78 (2 clones)
M2 105 (1 clone)
47
88
Methylobacter sp LW14
88
55
Methylothermus sp HB
Methylocaldum tepidum
M2 11 (30 clones)M2 9 (6 clones)
M2 80 (1 clone)M2 19 (2 clones)
80
66
80
M2 32 (2 clones)Methylocaldum gracile
M2 37 (1 clone)
88
66
M2 4 (9 clones)Methylocaldum szegediense
M2 69 (1 clone)
80
M2 66 (1 clone)
99
56
M2 10 (2 clones)M2 83 (1 clone)
88
M2 26 (3 clones)
66
Clone M90-P4
99
Clone FW-1
54
Methylococcus capsulatus
CloneFW-18
78
43
36
46
Type II methanotroph AML-A6
M2 5 (2 clones)M2 12 (23 clones)
88
Type II methanotroph AML-A3
80
Methylocystis sp LW 5
39
Methylocystis sp M
M2 35 (3 clones)M2 53 (1 clone)M2 29 (1clone)
80
Methylocystis echinoides strain 491
88
99
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
69
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium strain SE 2
41
92
94
Methylocapsa acidophila strain B2
Clone RA 14
96
89
86
Nitrosococcus mobilis
Nitrosomonas eutropha
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone RA 21
77
010
Mb478
Mb478
Mcl408Ib453
Ib559
Mcy262
Mcy409
Msi 232II510II630
Mtrof661
Mtrof173
Mmb303
A
B
576 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 4 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the microcosm sample The number of clones (out of 50 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the microcosm sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15
Methylomonas methanica
Methylobacter sp LW 12
Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
31
Methylomicrobium album
Methylobacter sp LW 1
Methylobacter sp LW 14
47
55
Methylothermus sp HB
Methylococcus capsulatus
Clone FW-18
Methylocaldum szegediense
Clone M90-P4
Clone FW-1
54
43
78
36
46
Type II methanotroph AML-A6
Type II methanotroph AML-A3
Methylocystis sp LW 5
39
Methylocystis echinoides 491
Methylocystis sp M
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
Clone P129 (8 clones)
69
29
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium SE 2
41
92
94
Methylocapsa acidophila B2
Clone RA 14
96
Clone P128 (35 clones)Clone P1212 (1 clone)
Clone ferm_xb6
54
Clone LP 21
66
86
61
89
88
Nitrosomonas europaea
Nitrosococcus mobilis
Clone P1211 (2 clones)
11
Nitrosomonas eutropha
43
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone gp5
77
Clone gp2
Clone P1210 (4 clones)
98
90
Clone RA 21
010
Xb6-539
Peat264
Msi 232II510II630
Mtrof661
Mtrof173
LP21-232
NmNc533NsNv207NsNv363
Gp2-581 Gp391
A
B
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
Anthony RM Brown TJ and French GL (2000) Rapiddiagnosis of bacteremia by universal amplification of 23Sribosomal DNA followed by hybridization to an oligonucle-otide array J Clin Microbiol 38 781ndash788
Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
582 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
568
L Bodrossy
et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd
Environmental Microbiology
5
566ndash582
atures for all the probes on the array One potentialapproach to achieving this is the use of hybridization buff-ers containing tertiary amine salts Tetramethyl ammo-nium chloride (TMACl) or tetraethyl ammonium chloride(TEACl) have been successfully applied to enable GC-content independent hybridization on nitrocellulose ornylon membranes (Wood
et al
1985 Spiro
et al
2000)The present weakness of this approach is the lack ofdetailed information on the thermodynamics of hybridiza-tions in such solutions making it impossible to predict theeffects of further factors (as detailed later in this paper)on the behaviour of a given oligo probe Further the effectof tertiary amine salts on the different present and futuresurface chemistries is largely unknown Thus we choseanother approach by designing oligos which should havenearly identical melting temperatures in lsquotraditionalrsquo hybrid-ization buffers
Many independent studies have shown that stericeffects (interference of the solid support on the hybridiza-tion properties of the immobilized oligos and steric hin-drance resulting from the crowding of immobilized oligos)can seriously hinder the accessibility of immobilized oli-gonucleotide probes (Gou
et al
1994 Shchepinov
et al
1997 Brown and Anthony 2000) These effects are suc-cessfully mitigated by the application of spacer moleculesIn our hands a C12 linker and an extra five thymidineresidues at the 5
cent
end provided optimal spacing additionof further thymidine residues had no significant effect onthe hybridization capacity (accessibility) of the oligostested (data not shown)
Dimethylsulphoxide (DMSO) (50 vv in dH
2
O) wasselected as the printing buffer because it did not dry outduring long spotting rounds and provided uniform spotson the slides Standard deviations in signal intensitiesbetween replicate spots were 10ndash15 as opposed to 20ndash30 for arrays printed from 3
yen
SSC (data not shown)Spotting was done with a single pin to avoid variationsinherent in spotting with multiple pins
Several alternative approaches (methods are availablefrom the authors upon request) were tested for targetpreparation These included direct incorporation of Cy-labelled dNTPs into dsDNA during PCR application of alabelled PCR primer for the generation of dsDNA targetsand application of a labelled and a biotinilated PCR primerfor the generation of ssDNA targets via subsequent sep-aration of the two strands using streptavidin coated mag-netic beads As the secondary structure of the target playsa very significant role in determining the maximal hybrid-ization signal obtainable with a given probe (lsquohybridizationcapacityrsquo) it was an absolute necessity to fragment thetarget before hybridization RNA targets were generatedbecause RNA can be fragmented in a random manner viachemical fragmentation (Hughes
et al
2001) A furtheradvantage of using RNA targets is that the direct incorpo-
ration of the Cy-labelled nucleotides by the T7 RNA poly-merase is very efficient (Only a fourfold decrease wasobserved in RNA yield when 50 of UTP was replacedwith Cy3-UTP during
in vitro
transcription) Yields of targetpreparation were in the range of 50 ng
m
l
-
1
concentration(2500 ng) with every 10th to 12th nucleotide beinglabelled Fragmentation of the target RNA to an averagefragment size of 50 nucleotide (Hughes
et al
2001)resulted in a significant enhancement of hybridization Inspite of the sensitivity of the Cy dyes to nucleophilic attackapplied for RNA fragmentation an increase by over anorder of magnitude in the Cy3 as well as in the Cy5signals was observed (compared to signals obtained withunfragmented target RNA) Furthermore in many casesfragmentation decreased the differences between thehybridization capacities of probes (data not shown)Hybridization conditions were chosen which were relaxedenough to enable the hybridization of both perfect match(PM) and single mismatch (1 MM) targets
As the hybridization between oligonucleotides and anyother type of nucleic acid (oligonucleotide gene fragmentRNA etc) is a reversible process all hybridizations werecarried out overnight (16 h) to ensure complete hybridiza-tion In static microarray hybridizations diffusion is the onlyprocess providing mixing Statistical errors in the finalsignal are inherent in such a diffusion limited systemFurthermore such circumstances usually result in theedges of probe sets hybridizing more efficiently thus yield-ing a relatively strong signal for the edge of the spot anda much weaker one for the centre To overcome theselimitations a custom modified BellyDancer laboratoryshaker and sticky hybridization chambers with significantlyhigher volumes than those which exist between a microar-ray and a traditional coverslip were used The tiny bubblesunavoidably formed within this chamber were slowlymoved to the edge due to the motion of the BellyDancerand this provided enough extra mixing to ensure a rea-sonably uniform hybridization across the whole microarray
Standard deviation of results for (triplicate) spots ofindividual probes was 3 to 30 between parallel slideshybridized with targets prepared in parallel (slide-to-slidevariation)
The extent to which the application of different
pmoA
amoA
specific PCR primers influenced the results wasinvestigated Two alternative reverse primers were usedfor target amplification The primer
pmoA
682 can amplify
pmoA
amoA
and similar sequences and yields a productof 531 bp with the forward primer
pmoA
189 The primermb661 is specific for
pmoA
-type sequences and yields aslightly shorter (508 bp) product (Bourne
et al
2001) Asmany of the environmental
pmoA
clones were obtainedwith the latter primer both primer pairs were appliedStandard deviations between results generated with thedifferent primer pairs were 10ndash30 not exceeding that
Diagnostic microarray for methanotrophs
569
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd
Environmental Microbiology
5
566ndash582
between parallel experiments using the same primerpairs
Probe set design and validation
A database of over 700
pmoA
amoA
sequences wasestablished from public database entries and in part fromunpublished sequences (courtesy of A Auman S
Dedysh P Dunfield W Liesack I McDonald S Morrisand S Nold) Full-length and nearly full-length [ie cover-ing positions 206ndash661 of the
Mc capsulatus
(Bath)
pmoA
gene] as well as some of the (unique) shorter sequences(514 entries) were used to create a phylogenetic tree
One hundred and eighteen
pmoA
amoA
based oligonu-cleotide probes were designed A nested set of 68 probes(Table 1) was selected by omitting redundant probes The
Table 1
Set of oligonucleotide probes synthesized and spotted for evaluation Positions of mismatches with target sequences are indicated byboldfaced and underlined characters Melting temperatures were calculated by the nearest neighbour method
Name
a
Intended specificity Sequence 5
cent
AElig
3
cent
b
Length T
m
Selected
c
MM
d
Mb460
Methylobacter
GACAGTTACAGCGGTAATCGGTGG
24 609
+
Mb478
Methylobacter
TGGTATGGC
A
TGGGGTCTGT
20 597
+
TMb271
Methylobacter
TTGTGGTGGCGTTACCGT
18 580
+
511ndash436
Methylobacter
GTTTTGATGCTGTCTGGCAG
20 555
+
BB51-299
Methylobacter GCGCGGTTGTTTGTGTCT 18 574 ndashMb292 Methylobacter CCGTTACCGTCTGCCTTTCG 20 591 + T ATMm275 Methylomonas GTGGTGGAGATACCGTTTGCC 21 592 +Mm391 Methylomonas ATTTGCTTCCCATCTAACCTG 21 540 ndashPS80-291 clone PS-80 ACCAATAGGCGCAACACTTAGT 22 583 +peat1ndash3-287 Metylomonas-related peat clones AACTGCCTTTAGGCGCTACC 20 586 +Mb_SL1ndash421 soda lake Methylobacter isolates and clones GCGATCGTATTAGACGTTATCCTG 24 564 ndashMb_SL-299 soda lake Methylobacter isolates and clones GGGGTGCAACTCTGTGTATCTTAGG 25 605 + TJpn284 clone Jpn 07061 ACCGTATCGCATGGGGTG 18 580 +Mm_pel467 Methylomicrobium pelagicum ACTGCGGTAATCGATGGTTTGGC 23 616 +Est514 Methylomicrobium-related clones AATTGGCCTATGGTTGCGCC 20 599 +LP20-644 Methylomicrobium-related clones GGTACACTGCGTACTTTCGGTAA 23 582 +Mmb303 Methylomicrobium album CAATGCTGGCTGTTCTGGGC 20 603 +Ia193 Type I a (M bacter-M monas-M microbium) GACTGGAAAGATAGACGTCT 20 519 ndashIa577 Type I a (M bacter-M monas-M microbium TGGCTGACTTGCAAGGTTACC 21 589 + ANc_oce426 Nitrosococcus oceani CTTGGATGCCATGCTTGCGA 20 598 +Mth413 Methylothermus CACATGGCGATCTTTTTAGACGTTG 25 583 +Mc396 Methylococcus CCCTGCCTCGCTGGTGC 17 619 + C A501ndash286 Methylococcus-related clones GTCAGCCGTGGGGCG 15 590 ndashfw1ndash639 Methylococcus-Methylocaldum related clones GAAGGGCACGCTGCGTACG 19 620 + T CM90-201 Methylocaldum-related clones CGGCTGCTGTACAGGCGTTC 20 618 +Mcl408 Methylocaldum GGTTCCGGGTGCGATTTTG 19 578 +Ib453 Methylococcus-Methyocaldum and related GGCAGCTACCTGTTCACCGC 20 617 + GIb559 Methylothermus-Methylococcus-Methyocaldum
and relatedGGCATGCTGATGTCGATTGCCG 22 605 + C C C
Mcy262 Methylocystis CAGGCGTTCTGGTGGGTGAA 20 610 + T TMcy409 Methylocystis and peat clones ATCGTTCCGGCGATCTGGC 19 610 + U C
+hairpinPeat264 peat clones GGCGTTTTTCTGGGTCAACTTCC 23 603 +Msi520 Methylosinus GCGATCGCGGCTCTGCA 17 616 +Msi_tri309 Methylosinus CGCGGTTCTGGGTCTGCTC 19 614 + C C A GMsi270 Methylosinus GTTCTTCTGGGAGAACTTCAAGC 23 571 ndashMsi232 Methylosinus CCTGGGCGTGACCTTCGC 18 610 + T C G TGII510 Type II methanotrophs CGAACAACTGGCCGGCG 17 600 +II630 Type II methanotrophs CATGGTCGAGCGCGGC 16 597 +RA14-598 RA14 related clones AACGTTCGTACCTCGATGCC 20 583 + TT C CB2rel260 Methylocapsa-related clones GCCCAGTATTATTTCTGGACCCCAT 25 604 + Most of GC
at theends
B2-400 Methylocapsa ACCTCTTTGGTCCCGGCTG 19 605 +B2all343 Methylocapsa and related clones AACCGCTACACCAATTTCTGGCG 23 618 + CpmoAMO3-400 clone pmoA-MO3 CCCAGATGATCCCGTCGGC 19 608 +xb6ndash539 Methanotroph-related clones AGGCCGCCGAGGTCGAC 17 630 +LP21-190 Methanotroph-related clones ATCGACTTCAAGGATCGCCG 20 582 ndashLP21-232 Methanotroph-related clones ATCGTCGCCATGTGCTTCGC 20 619 +mtrof173 Universal GGbGACTGGGACTTCTGG 18 582 +mtrof362-I Methanotrophs TGGGGCTGGACCTACTTCC 19 595 ndashmtrof656 Methanotrophs ACCTTCGGTAAGGACGT 17 532 +mtrof661 Methanotrophs GGTAARGACGTTGCKCCGG 19 619 +mtrof662-I Methanotrophs GGTAAGGACGTTGCGCCGG 19 619 ndashNmNc533 Nitrosomonas-Nitrosococcus CAACCCATTTGCCAATCGTTGTAG 24 586 + G C
570 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
probes targeted different species groups of species gen-era as well as higher taxonomic groups of methanotrophsand related bacteria Several broad specificity probes tar-geting AOBs were also designed and included in order toimprove the potential of the array for analysing variousenvironments including those potentially dominated byAOBs Two probes (mtrof173 and mtrof661) weredesigned to target the PCR primers pmoA189 and mb661respectively A third probe lsquouniversalrsquo to methanotrophs(mtrof362-I) was designed for a region in the middle of thepmoA sequence which is reasonably conserved amongstmethanotrophs
The most critical step of the probe design process is tofine tune the probe set in a way that all probes in the setdisplay hybridization behaviour as identical as possible Inthe first stage an attempt was made to design oligos withpredicted melting temperatures [according to the nearestneighbour model (Breslauer et al 1986)] of 60 plusmn 2infinC Insome cases this was not possible because of the limitedlength of differentiative sequence regions When no alter-native probe sites were found the probes with suboptimalmelting temperatures were accepted and synthesized Aspresent models can only predict melting temperatures offree oligos but not of those bound to solid surfaces (seedetailed discussion below) probes with suboptimal pre-dicted melting temperature do not necessarily performsuboptimally
The hybridization behaviour of oligonucleotide probesimmobilized onto a solid surface depends on several fac-tors Length GC content and exact sequence of theprobe these together are considered when predicting Tm
for the oligos by using the nearest neighbour method
(Breslauer et al 1986) Position of GC and AT pairs themiddle of the probe is more important in stabilizing hybrid-ization thus a probe with most of its GC content in themiddle binds to its target more strongly than another onewith homogenous GC distribution (but with identical lengthand GC content) (Guo et al 1994 Shchepinov et al1997 Hughes et al 2001) Secondary structures of theprobe and of the corresponding target when any of thesetwo are of significant strength compared to the strengthof hybridization between the probe and the target a sig-nificant drop in hybridization efficiency is expected Theexact nature of the overhanging nucleotides on the target(nucleotides immediately next to the area targeted by theprobe) this comes from the nearest method model butisnrsquot normally accounted for because the overhangs of thetarget sequence are not considered Number and type ofmismatches some mismatches have little while othershave very strong destabilizing effect (Sugimoto et al2000) Position of mismatches mismatches in the middleare more destabilizing than mismatches at end positions(Fotin et al 1998) Factors arising from the immobilizednature of the probes steric effects can hinder the forma-tion of hybrids between the target and the bound probeThis effect is much stronger for the immobilized end of theprobe Thus the bound end of the probe plays a lesserrole in the hybridization than the free end (Guo et al1994 Shchepinov et al 1997 Hughes et al 2001) Thisapplies for the position of GC and AT pairs as well as forthe position of mismatches Hybridization between DNAoligos and RNA fragments as in our case has slightlydifferent thermodynamics to that of DNAndashDNA hybridiza-tion (Hung et al 1994 Sugimoto et al 2000)
Nsm_eut381 Nitrosomonas eutropha CCACTCAATTTTGTAACCCCAGGTAT 26 590 +Pl6ndash306 Nitrosomonas-Nitrosococcus related clones GGCACTCTGTATCGTATGCCTGTTAG 26 605 +PS5-226 Nitrosomonas-Nitrosococcus related clones ACCCCGATTGTTGGGATGATGTA 23 599 +NsNv207 Nitrosospira-Nitrosovibrio TCAATGGTGGCCGGTGG 17 585 + GNsNv363 Nitrosospira-Nitrosovibrio TACTGGTGGTCGCACTACCC 20 596 + A T TNit_rel223 AOB related clones GTCACACCGATCGTAGAGGT 20 569 +Nit_rel351 AOB related clones GTTTGCCTGGTACTGGTGGG 20 592 +Nit_rel470 AOB related clones CGATATTCGGGGTATGGGCG 20 584 + ANit_rel304 AOB related clones CGCTCTGCATTCTGGCGCT 19 618 +M84P105-451 environmental clones of uncertain identity AACAGCCTGACTGTCACCAG 20 581 +WC306ndash54ndash385 environmental clones of uncertain identity AACGAAGTACTGCCGGCAAC 20 592 +M84P22-514 environmental clones of uncertain identity AACTGGGCCTGGCTGGG 17 610 +gp23ndash454 environmental clones of uncertain identity AACGCGCTGCTCACTGCG 18 623 +MR1-348 environmental clones of uncertain identity AATCTTCGGTTGGCACGGCT 20 611 +gp391 environmental clones of uncertain identity ATCTGGCCGGCGACCATG 18 611 +gp2ndash581 environmental clones of uncertain identity ACATGATCGGCTACGTGTATCCG 23 600 +RA21-466 clone RA21 ndash environmental clone of
uncertain identityCGGCGTTCTTGGCGGCAT 18 624 +
Namea Intended specificity Sequence 5cent AElig 3centb Length Tm Selectedc MMd
a Numbers at the end of the probe names refer to their relative positions on the Mc capsulatus (Bath) pmoA geneb Sequences are of the sense strandc Oligonucleotide probes of the final probe set are indicated by +0 Probes not selected are indicated by ndashd Nucleotide residue(s) at mismatch position(s) Other factors included in the calculation of weighed mismatches are also indicated
Table 1 cont
Diagnostic microarray for methanotrophs 571
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Based on the above criteria on initial results from test-ing the hybridization behavior of our probes and on pub-lished data (Shchepinov et al 1997 Fotin et al 1998Meroueh and Chow 1999 Sugimoto et al 2000) a set ofsimple findings was compiled which significantly improvedthe prediction of the hybridization behaviour of the probesThese findings are
(i) UAEligC changes in the target sequence leads to an rG-dT bond which is almost as strong as the original rA-dT bond (for perfect match cases) These are notconsidered as mismatches
(ii) GAEligA changes in the target sequence leads to an rU-dG bond which is almost as strong as the original rC-dG bond (for perfect match cases) These mis-matches are considered only if they are presenttogether with other types of mismatches
(iii) Mismatches in the end positions are not consideredMismatches adjacent to the end positions are consid-ered only if they are present together with other typesof mismatches
(iv) If most of the GC content of a probe is close to the5cent (immobilized) end the probe will display a signifi-cantly lower melting temperature than originally pre-dicted The same is true for a G or C residue in the3cent end position
(v) Probes with strong hairpin structures (DG ge 20) wereconsidered as having an extra mismatch to the target
(vi) High GC content probes shorter than 17 nucleotidesin length display unreliable hybridization behaviorunder the experimental conditions applied
Considering the above points another nine probeswere excluded and mismatch values were updated toweighed mismatch values The resulting set of 59 oligo-nucleotide probes was validated with a reference set of59 pure strains and environmental clones covering almostthe entire known diversity of methanotrophsand bacteriacarrying pmoAamoA homologues (listed in Fig 2) Sev-eral AOB clones were also included in the validationHybridizations were carried out at 55infinC with the aim ofallowing for perfect match and single (weighed) mismatchprobe-target pairs to hybridize Figure 1 shows some typ-ical hybridization results Hybridization between a probeand a target was considered positive if the signal was atleast 5 of the signal obtained for mtrof173 on the samearray There were unfortunately groups of clones forwhich no representative was available Figure 2 shows thepredicted hybridization behaviour of the probe set and theresults obtained
Out of 59 probes in the probe set we were unable toobtain reference targets for seven which were thus notpossible to validate Most (42) probes displayed hybridiza-tion behavior as predicted Two probes II510 and II630were expected to have unreliable hybridization behaviour
because of their shortness (in combination with a strongsecondary structure in case of II510) These two probeswere left in the probe set as we were unable to identify abetter region for a probe specific to the Type II methan-otrophs Eight probes displayed some unpredicted resultsThe unexpected positive result of Mcy409 came from acombination of a strong secondary structure and a mis-match The unexpected negative results of Msi232 wasobtained with targets displaying two adjacent mismatchesright at the 3cent end plus a third one at different internallocations of the probe Probe Ia577 displayed unexpectednegative results to three targets all having the a singlecentral mismatch U(r)A change resulting in an rU-dT pairreplacing the perfect match rA-dT pair
Fifty out of the 59 probes were succesfully validated(seven probes with no reference targets available and twosuboptimal probes II510 and II630 were not) Of the 2950individual hybridization reactions (50 validated probes yen59 reference strainssequences) 2931 (993) yieldedthe expected result by either showing detectable signalwhere expected or by no hybridization where a negativeresult was predicted Only 19 of the hybridization reac-tions (07) resulted in false negative or positive hybrid-ization Forty-two out of the 50 probes consideredbehaved 100 as predicted (in all of the hybridizationreactions) This success rate is acceptable when redun-dant probe sets (three or more probes for each speciesor higher taxonomic group targeted) are and can bedesigned There is however a need for an improvedmethod to predict hybridization behaviour of oligonucle-otide probes About half of the unpredicted results wereassociated with complicated cases where additionalparameters influencing hybridization behaviour had to beconsidered together with mismatches Mismatches espe-cially when their relative positions are also consideredcan reliably be accounted for only by a nearest-neighbourmethod based algorithm Software applying such an algo-rithm which considers further effects arising from theimmobilized nature of the probes as well as the second-ary structure of the probe and the target via user definedparameters is badly needed A computer program underdevelopment called CALCOLIGO is aiming exactly at fillingthis gap (J Csontos Bay Zoltaacuten Institute for Biotechnol-ogy Szeged Hungary pers comm)
Despite its apparent shortcomings the probe set candiagnose almost the entire known diversity of methanotro-phs and bacteria carrying pmoAamoA homologues Thegaps in the validation of probe set represent probesagainst unique clones or small groups of clones whichseem to be very poorly represented in the environmentsinvestigated so far Results from environmental samplesneed to be referred to the validation results with the ref-erence set rather than to the predicted ones thus mini-mizing the chances of false interpretation of results
572 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Evaluation of the microarray with environmental samples
To assess the applicability of the developed methanotrophmicroarray in environmental studies two different environ-mental samples were analysed
The first experiment was carried out with a soil samplefrom a landfill site collected at the end of the summerMicroarray results indicated that strains related to thegenera of Methylocaldum and Methylocystis were mostabundant in this sample In addition to Methylocaldum andMethylocystis pmoA specific probes general pmoAprobes for the B subgroup of Type I methanotrophs andfor the Type II methanotrophs also showed positive hybrid-ization Two further probes Mb478 and Msi232 were pos-itive Mb478 was known from the validation set to
hybridize strongly to pmoA of Methylocaldum tepidumthus this signal was accounted for as arising from Methy-localdum-related bacteria Msi232 is a probe with a singlemismatch towards pmoA from most Methylocystis strainsDuring validation experiments it was shown to displaystrong hybridization signal with pmoA from one clade ofMethylocystis Thus (weak) positive results with Msi232were accounted for as arising from Methylocystis relatedbacteria To confirm these results a pmoA clone librarywas constructed Out of 100 clones sequenced 91 con-tained inserts with high homology to pmoA sequencesSixty-five per cent of these clones were related to pmoAfrom Methylocaldum and 31 to pmoA from Methylocys-tis confirming the results of the microarray analysis Afurther 3 of the clones showed highest similarity to
Fig 1 A Schematic diagram of the microarray design Arrays were spotted in triplicate Frames indicate universal (lsquomtrofrsquo) probes spotted in multiple copies and spots with an external positive control probe (lsquohyaBprsquo results of this were not considered or used in the present study)B Detailed design of a single array with exact positions for each probeC Representative hybridizations with reference strains or environmental clones Probe hyaBp targets an independent gene (hyaB of E coli) It can be applied as an alternative control spot for normalization after spiking of the in vitro transcription reaction with hyaB PCR product Note that results of probe hyaBp were not considered throughout the work presented here Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Diagnostic microarray for methanotrophs 573
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig
2
Ran
ge o
f st
rain
cov
erag
e fo
r ol
igon
ucle
otid
e pr
obes
tar
getin
g pm
oAa
moA
gen
es o
f m
etha
notr
ophs
A
OB
s an
d ba
cter
ia c
arry
ing
pmoA
am
oA h
omol
ogue
s A
sim
ilar
tabl
e w
ith a
ll 51
4 se
quen
ces
cons
ider
ed (
with
out
hybr
idiz
atio
n re
sults
) is
ava
ilabl
e fr
om t
he a
utho
rs u
pon
requ
est
Und
er lsquoP
robe
srsquo b
lack
fill
indi
cate
s ex
pect
ed p
ositi
ve r
esul
ts
grey
fill
indi
cate
s po
sitiv
e re
sults
not
pr
edic
ted
and
thic
k bl
ack
fram
ing
indi
cate
s ne
gativ
e re
sults
whe
re h
ybrid
izat
ion
was
pre
dict
ed W
hite
num
bers
insi
de b
lack
and
gre
y bo
xes
indi
cate
the
num
ber
of lsquom
ism
atch
equ
ival
ents
rsquo as
desc
ribed
in t
he r
elev
ant
sect
ion
of R
esul
ts L
ette
rs in
gre
y bo
xes
indi
cate
pro
bes
of u
nrel
iabl
e hy
brid
izat
ion
beha
viou
r lsquoA
cent a
shor
t pr
obe
with
sig
nific
ant
seco
ndar
y st
ruct
ure
lsquoBcent a
sho
rt p
robe
N
ames
of
envi
ronm
enta
l clo
nes
are
prec
eded
by
an in
dica
tion
of t
heir
pred
icte
d im
med
iate
phy
loge
netic
rel
atio
nshi
p H
ighe
st a
nd lo
wes
t si
gnal
val
ues
( o
f th
at o
f m
trof
173
) ob
tain
ed w
ith f
ull
mat
ch ta
rget
s ar
e in
dica
ted
(lsquomax
val
rsquo an
d lsquom
inv
alrsquo)
Gre
y bo
xes
indi
cate
dat
a w
hich
are
not
rep
rese
ntat
ive
(Jpn
284
Est
514
Nc_
oce4
26 g
p23ndash
454
and
MR
1-34
8 n
o fu
ll m
atch
ref
eren
ce ta
rget
av
aila
ble
II5
10 a
nd I
I630
sho
rt p
robe
s of
unr
elia
ble
hybr
idiz
atio
n be
havi
our
B2r
el26
0 an
d N
sNV
207
dat
a fr
om s
ingl
e m
ism
atch
tar
gets
mtr
of 1
73 r
efer
ence
pro
be m
trof
661
tar
getin
g th
e re
vers
e pr
imer
app
lied
in m
ost
ampl
ifica
tions
) A
pm
oAa
moA
DN
A n
eigh
bour
tre
e is
add
ed t
o th
e le
ft pr
ovid
ing
furt
her
insi
ght
into
the
phy
loge
netic
rel
atio
nshi
ps o
f th
e re
fere
nce
set
The
sca
le
bar
indi
cate
s th
e es
timat
ed n
umbe
r of
bas
e ch
ange
s pe
r nu
cleo
tide
sequ
ence
pos
ition
Str
ain
C
lon
eP
r o
b e
s
Mm275
PS80-291
Mb460
Mb478
Mb271
511-436
Mb292
peat1-3-287
Mb_SL-299
Jpn284
Mm_pel467
Est514
LP20-644
Mmb303
Ia577
Nc_oce426
Mth413
Mc396
fw1-639
M90-201
Mcl408
Ib453
Ib559
Mcy262
Mcy409
Peat264
Msi520
Msi_tri309
Msi232
II510
II630
RA14-598
B2rel260
B2-400
B2all343
pmoAMO3-400
xb6-539
LP21-232
NmNc533
Nsm_eut381
Pl6-306
PS5-226
NsNv207
NsNv363
Nit_rel223
Nit_rel351
Nit_rel470
Nit_rel304
M84P105-451
WC306_54-385
M84P22-514
gp23-454
MR1-348
gp391
gp2-581
RA21-466
mtrof173
mtrof362-I
mtrof661
L21
2224
2018
2020
2025
1823
2023
2021
2025
1719
2019
2022
2019
2317
1918
1716
2025
1923
1917
2024
2626
2317
2020
2020
1920
2017
1820
1823
1818
1919
Tm
5958
6160
5856
5959
6158
6260
5860
5960
5862
6262
5862
6161
6160
6261
6160
6058
6061
6261
6362
5959
6160
5960
5759
5862
5859
6162
6161
6062
5860
62
Min
val
130
26
389
353
14
16
50
NA
77
NA
31
NA
152
41
22
NA
41
175
312
10
47
50
256
194
20
75
32
46
54
11
10
513
22
64
78
NA
192
87
189
91
373
112
12
335
49
103
29
88
111
17
116
NA
NA
22
34
58
100
84
NA
Max
val
180
26
389
353
72
16
80
NA
108
NA
31
NA
166
41
50
NA
41
175
312
10
47
158
371
194
38
75
34
46
167
39
29
513
22
64
89
NA
192
278
189
91
373
112
15
335
49
166
29
88
111
17
116
NA
NA
22
34
58
100
270
NA
Met
hyl
om
on
as c
lon
e M
90-P
12+
33
1M
eth
ylo
mo
nas
clo
ne
mv1
9pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv2
1pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv9
pa
+2
++
1M
eth
ylo
mo
nas
met
han
ica
clo
ne
D1
+2
++
2++
clo
ne
PS
-80
2+
33
Met
hyl
ob
acte
r cl
on
e S
L-5
102
2+
++
32
33
+3
Met
hyl
ob
acte
r cl
on
e m
v6p
b2
+3
1+
2+ +
Met
hyl
ob
acte
r cl
on
e m
v16p
a+
3+
3M
eth
ylo
bac
ter
clo
ne
5hm
-81
+3
32
+3
Un
iden
tifi
ed s
trai
n L
K5
1+
Met
hyl
ob
acte
rcl
on
e 5h
m-2
21
22
+3
1+
3M
eth
ylo
bac
ter
clo
ne
RB
-16
12
+3
2+
1M
eth
ylo
bac
ter
clo
ne
SL
-41
+3
3+
2+
Met
hyl
ob
acte
r c
lon
e 5h
m-2
31
32
+2
+M
eth
ylo
bac
ter
clo
ne
RB
-100
1+
33
2+
2+
Met
hyl
ob
acte
r c
lon
e L
OP
B 1
35
33
1+
31
+3
+L
P 2
0 g
rou
p c
lon
e M
90-P
503
++
1+
LP
20
gro
up
clo
ne
M90
-P24
3+
+1
+M
eth
ylo
mic
rob
ium
alb
um
BG
83
++
+2
+ ++
Met
hyl
osa
rcin
a fi
bri
ata
AM
L-C
10+
23
2+
+2
+
++2
+M
eth
ylo
ther
mu
sst
rain
HB
2+
1+
Met
hyl
oco
ccu
s ca
psu
latu
s (
Bat
h)
33
+2
++
Met
hyl
oco
ccu
s ca
psu
latu
s B
L4
33
12
++
++
501
gro
up
clo
ne
FW
-18
+1
+1
+ F
W-1
gro
up
clo
ne
pA
MC
512
33
+2
++
2M
eth
ylo
cald
um
rel
ated
clo
ne
M84
-P11
32
++
13
3+
+M
eth
ylo
cald
um
rela
ted
clo
ne
M90
-P75
33
2+
+1
33
++
Met
hyl
oca
ldu
m t
epid
um
LK
6+
+1
++
1M
eth
ylo
cyst
is c
lon
e S
L-5
70
+1
1A
B+
2M
eth
ylo
cyst
is c
lon
e L
OP
A 1
35
22
31
AB
1+
+M
eth
ylo
cyst
is c
lon
e F
12
+1
1A
B1
+1
Met
hyl
ocy
stis
str
ain
M2
+1
1A
B1
3+
+M
eth
ylo
cyst
is p
arvu
s O
BB
P2
+1
1A
B2
3gt7
+1
Pea
t cl
on
e P
129
E+
31
AB
+2
Met
hyl
osi
nu
scl
on
e rb
p46
3+
+A
B3
1M
eth
ylo
sin
us
tric
ho
spo
riu
m O
b3b
3+
+A
B3
+1
Met
hyl
osi
nu
s c
lon
e L
OP
B 1
33
33
3+
AB
13
+1
Met
hyl
osi
nu
s sp
ori
um
SE
23
++
AB
1+
+U
nid
enti
fied
str
ain
Y3
+A
B1
++
RA
14 g
rou
p c
lon
e R
A14
1+
+2
Met
hyl
oca
psa
rel
ated
clo
ne
JY-6
48
32
11
+3
Met
hyl
oca
psa
rel
ated
clo
ne
LO
PB
13
43
21
++
2M
eth
ylo
cap
sa a
cid
op
hila
B2
B1
++
gt7+
2L
P21
gro
up
clo
ne
P13
63
23
++
+1
LP
21 g
rou
p c
lon
e m
v12p
a+
1L
P21
gro
up
clo
ne
LO
PA
12
8B
3B
32
+2
++
1N
itro
som
on
as c
lon
e g
p1a
+1
1+
Nit
roso
mo
nas
eu
tro
ph
a1
+2
2+
Nit
roso
mo
nas
rela
ted
clo
ne
pl6
3+
21
2+
Nit
roso
mo
nas
rel
ated
clo
ne
PS
-5+
12
+N
itro
sosp
ira
clo
ne
LO
PA
12
32
++
AO
B r
elat
ed c
lon
e P
124
++
+A
OB
rel
ated
clo
ne
LO
PA
12
4+
1+
AO
B r
elat
ed c
lon
e g
p22
3+
+cl
on
e M
84-P
105
3+
clo
ne
WC
306-
54+
++
+ +cl
on
e M
84-P
222
1cl
on
e R
A21
3
+
+
+
+
01
1
+
+
+ +
+
574 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
pmoA from Methylomicrobium album strains The pres-ence of the Methylomicrobium album related strains wasnot detected by the microarray (relevant specific probeMmb303) This is due to the current detection limit whichis about 5 of cells in relation to the total bacterial com-munity analysed (ie containing pmoAamoA genes)There is also a statistical uncertainty in the percentagevalues derived from the analysis of only 91 clonesMicroarray and clone library results are shown on Fig 3
The second experiment was done using a sample froma soil microcosm incubated with CH4 as described byRadajewski et al (2002) Microarray experiments indi-cated the presence of methanotrophs belonging to twoclades The first clade the lsquopeat clonesrsquo group belongs toType II methanotrophs and is only known from acidic(peat) environments so far There are no cultured repre-sentatives of this group yet The second clade the LP21group is related to the Methylocapsa and to the RA14groups This clade consists of environmental clones ofvarious origins and of the lsquounusualrsquo second pmoA copiesfound in some Type II methanotrophs (Dunfield et al2002) This environmental sample has already beenanalysed by clone library construction and sequencing(Radajewski et al 2002) Fifty pmoAamoA clones wereanalysed (Fig 4) Eighteen per cent of the clonesbelonged to the peat clones group and 70 to the LP21group confirming the microarray results detecting thesetwo groups as the dominant ones Four per cent of theclones analysed belonged to the NitrosomonasNitroso-coccus group and 8 to the gp2 group The latter twogroups were not detected by the microarray analysis (rel-evant probes were NmNc534 for the NitrosomonasNitrosococcus group and gp391 and gp2ndash581 for the gp2group) The abundance of these groups was very near tothe detection level Furthermore the clone library and themicroarray analyses were done from different PCR reac-tions carried out from the same environmental DNAstock but in different laboratories Thus different PCRbiases may account for the discrepancy between themicroarray and clone library analysis results for these lowabundance sequences
Quantification of methanotrophs and related bacteriabased on pmoAamoA sequences is potentially biased bythe different number of pmoAamoA gene copies per cellThis has to be taken into account when interpreting suchresults
Quantification potential
Quantification potential of the developed microarray wastested with artificial mixtures of pmoA sequences Thisway it was possible to avoid the introduction of biasesinherent in DNA purification from environmental samplesand PCR with degenerate primers (Reysenbach et al
1992 Witzingerode et al 1997 Polz and Cavanaugh1998 Ishii and Fukui 2001) and the results show thepotential of the array to reflect the composition of the PCRmixture (rather than that of the original environmentalDNA or the original microbial community) By employinga reference mixture of known composition it was possibleto normalize variations in spot morphology and local dif-ferences in hybridization efficiency as well as for the sig-nificant variation in hybridization capacities betweendifferent probes
Our results shown in Fig 5 showed very good corre-lation between the true composition of the artificial mix-tures and the results of quantitative analysis of thehybridization results Standard deviation from expectedratios were in the range of 04ndash172 These results showthe potential of the microarray approach to reflect theratios within the PCR product (used as template for targetpreparation) As the first steps of the procedure includeenvironmental DNA purification and PCR with universalprimers the microarray approach is also prone to the biasinherent in these techniques
Quantification potential was further tested with the land-fill site and microcosm environmental samples (Fig 6)Results from the first analyses (hybridization with Cy3-labelled target prepared from environmental DNA) wereused to gain a rough estimate of the relative abundanceof methanotrophs in these samples Based on theseresults a mixture of reference sequences covering theobserved diversity was designed and labelled with Cy5Competitive (lsquotwo-colourrsquo) hybridization with the Cy3-labelled environmental and the Cy5-labelled reference tar-get was used to refine quantitative assessment of meth-anotroph community composition
In this quantification scheme a one-colour hybridizationis carried out first giving a rough estimation of the com-munity structure by referring back the relative intensitieson the array to the results from the reference straincloneset This information can also be used to select a subsetof reference strainsclones to be used in the next stagewhere the same target is then hybridized against theselected reference set and quantitative data are drawnfrom the ratios of the two signals The basic requirementof such a two-colour quantification approach is the abilityto identify and create an appropriate reference set Thisshould consist of sequences as similar to those in thesample as possible Failure to do so will result in skewedpredicted ratios Even though this limits the applicationpotential of this approach it can be very useful in studieswhere the same community is analysed over time or underdifferent conditions
By comparing the results of the two-colour microarrayhybridizations to the composition of the correspondingclone libraries (landfill site 14ndash30 predicted for Methy-localdum and 21ndash28 for Methylocystis versus 65 and
Diagnostic microarray for methanotrophs 575
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 3 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the landfill site sample The number of clones (out of 91 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the landfill site sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15Methylomonas methanica
Methylobacter sp LW 12Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
Nitrosococcus oceanus
31
66
Methylomicrobium album
Methylobacter sp LW 1M2 78 (2 clones)
M2 105 (1 clone)
47
88
Methylobacter sp LW14
88
55
Methylothermus sp HB
Methylocaldum tepidum
M2 11 (30 clones)M2 9 (6 clones)
M2 80 (1 clone)M2 19 (2 clones)
80
66
80
M2 32 (2 clones)Methylocaldum gracile
M2 37 (1 clone)
88
66
M2 4 (9 clones)Methylocaldum szegediense
M2 69 (1 clone)
80
M2 66 (1 clone)
99
56
M2 10 (2 clones)M2 83 (1 clone)
88
M2 26 (3 clones)
66
Clone M90-P4
99
Clone FW-1
54
Methylococcus capsulatus
CloneFW-18
78
43
36
46
Type II methanotroph AML-A6
M2 5 (2 clones)M2 12 (23 clones)
88
Type II methanotroph AML-A3
80
Methylocystis sp LW 5
39
Methylocystis sp M
M2 35 (3 clones)M2 53 (1 clone)M2 29 (1clone)
80
Methylocystis echinoides strain 491
88
99
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
69
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium strain SE 2
41
92
94
Methylocapsa acidophila strain B2
Clone RA 14
96
89
86
Nitrosococcus mobilis
Nitrosomonas eutropha
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone RA 21
77
010
Mb478
Mb478
Mcl408Ib453
Ib559
Mcy262
Mcy409
Msi 232II510II630
Mtrof661
Mtrof173
Mmb303
A
B
576 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 4 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the microcosm sample The number of clones (out of 50 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the microcosm sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15
Methylomonas methanica
Methylobacter sp LW 12
Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
31
Methylomicrobium album
Methylobacter sp LW 1
Methylobacter sp LW 14
47
55
Methylothermus sp HB
Methylococcus capsulatus
Clone FW-18
Methylocaldum szegediense
Clone M90-P4
Clone FW-1
54
43
78
36
46
Type II methanotroph AML-A6
Type II methanotroph AML-A3
Methylocystis sp LW 5
39
Methylocystis echinoides 491
Methylocystis sp M
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
Clone P129 (8 clones)
69
29
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium SE 2
41
92
94
Methylocapsa acidophila B2
Clone RA 14
96
Clone P128 (35 clones)Clone P1212 (1 clone)
Clone ferm_xb6
54
Clone LP 21
66
86
61
89
88
Nitrosomonas europaea
Nitrosococcus mobilis
Clone P1211 (2 clones)
11
Nitrosomonas eutropha
43
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone gp5
77
Clone gp2
Clone P1210 (4 clones)
98
90
Clone RA 21
010
Xb6-539
Peat264
Msi 232II510II630
Mtrof661
Mtrof173
LP21-232
NmNc533NsNv207NsNv363
Gp2-581 Gp391
A
B
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
Anthony RM Brown TJ and French GL (2000) Rapiddiagnosis of bacteremia by universal amplification of 23Sribosomal DNA followed by hybridization to an oligonucle-otide array J Clin Microbiol 38 781ndash788
Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
582 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
Diagnostic microarray for methanotrophs
569
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd
Environmental Microbiology
5
566ndash582
between parallel experiments using the same primerpairs
Probe set design and validation
A database of over 700
pmoA
amoA
sequences wasestablished from public database entries and in part fromunpublished sequences (courtesy of A Auman S
Dedysh P Dunfield W Liesack I McDonald S Morrisand S Nold) Full-length and nearly full-length [ie cover-ing positions 206ndash661 of the
Mc capsulatus
(Bath)
pmoA
gene] as well as some of the (unique) shorter sequences(514 entries) were used to create a phylogenetic tree
One hundred and eighteen
pmoA
amoA
based oligonu-cleotide probes were designed A nested set of 68 probes(Table 1) was selected by omitting redundant probes The
Table 1
Set of oligonucleotide probes synthesized and spotted for evaluation Positions of mismatches with target sequences are indicated byboldfaced and underlined characters Melting temperatures were calculated by the nearest neighbour method
Name
a
Intended specificity Sequence 5
cent
AElig
3
cent
b
Length T
m
Selected
c
MM
d
Mb460
Methylobacter
GACAGTTACAGCGGTAATCGGTGG
24 609
+
Mb478
Methylobacter
TGGTATGGC
A
TGGGGTCTGT
20 597
+
TMb271
Methylobacter
TTGTGGTGGCGTTACCGT
18 580
+
511ndash436
Methylobacter
GTTTTGATGCTGTCTGGCAG
20 555
+
BB51-299
Methylobacter GCGCGGTTGTTTGTGTCT 18 574 ndashMb292 Methylobacter CCGTTACCGTCTGCCTTTCG 20 591 + T ATMm275 Methylomonas GTGGTGGAGATACCGTTTGCC 21 592 +Mm391 Methylomonas ATTTGCTTCCCATCTAACCTG 21 540 ndashPS80-291 clone PS-80 ACCAATAGGCGCAACACTTAGT 22 583 +peat1ndash3-287 Metylomonas-related peat clones AACTGCCTTTAGGCGCTACC 20 586 +Mb_SL1ndash421 soda lake Methylobacter isolates and clones GCGATCGTATTAGACGTTATCCTG 24 564 ndashMb_SL-299 soda lake Methylobacter isolates and clones GGGGTGCAACTCTGTGTATCTTAGG 25 605 + TJpn284 clone Jpn 07061 ACCGTATCGCATGGGGTG 18 580 +Mm_pel467 Methylomicrobium pelagicum ACTGCGGTAATCGATGGTTTGGC 23 616 +Est514 Methylomicrobium-related clones AATTGGCCTATGGTTGCGCC 20 599 +LP20-644 Methylomicrobium-related clones GGTACACTGCGTACTTTCGGTAA 23 582 +Mmb303 Methylomicrobium album CAATGCTGGCTGTTCTGGGC 20 603 +Ia193 Type I a (M bacter-M monas-M microbium) GACTGGAAAGATAGACGTCT 20 519 ndashIa577 Type I a (M bacter-M monas-M microbium TGGCTGACTTGCAAGGTTACC 21 589 + ANc_oce426 Nitrosococcus oceani CTTGGATGCCATGCTTGCGA 20 598 +Mth413 Methylothermus CACATGGCGATCTTTTTAGACGTTG 25 583 +Mc396 Methylococcus CCCTGCCTCGCTGGTGC 17 619 + C A501ndash286 Methylococcus-related clones GTCAGCCGTGGGGCG 15 590 ndashfw1ndash639 Methylococcus-Methylocaldum related clones GAAGGGCACGCTGCGTACG 19 620 + T CM90-201 Methylocaldum-related clones CGGCTGCTGTACAGGCGTTC 20 618 +Mcl408 Methylocaldum GGTTCCGGGTGCGATTTTG 19 578 +Ib453 Methylococcus-Methyocaldum and related GGCAGCTACCTGTTCACCGC 20 617 + GIb559 Methylothermus-Methylococcus-Methyocaldum
and relatedGGCATGCTGATGTCGATTGCCG 22 605 + C C C
Mcy262 Methylocystis CAGGCGTTCTGGTGGGTGAA 20 610 + T TMcy409 Methylocystis and peat clones ATCGTTCCGGCGATCTGGC 19 610 + U C
+hairpinPeat264 peat clones GGCGTTTTTCTGGGTCAACTTCC 23 603 +Msi520 Methylosinus GCGATCGCGGCTCTGCA 17 616 +Msi_tri309 Methylosinus CGCGGTTCTGGGTCTGCTC 19 614 + C C A GMsi270 Methylosinus GTTCTTCTGGGAGAACTTCAAGC 23 571 ndashMsi232 Methylosinus CCTGGGCGTGACCTTCGC 18 610 + T C G TGII510 Type II methanotrophs CGAACAACTGGCCGGCG 17 600 +II630 Type II methanotrophs CATGGTCGAGCGCGGC 16 597 +RA14-598 RA14 related clones AACGTTCGTACCTCGATGCC 20 583 + TT C CB2rel260 Methylocapsa-related clones GCCCAGTATTATTTCTGGACCCCAT 25 604 + Most of GC
at theends
B2-400 Methylocapsa ACCTCTTTGGTCCCGGCTG 19 605 +B2all343 Methylocapsa and related clones AACCGCTACACCAATTTCTGGCG 23 618 + CpmoAMO3-400 clone pmoA-MO3 CCCAGATGATCCCGTCGGC 19 608 +xb6ndash539 Methanotroph-related clones AGGCCGCCGAGGTCGAC 17 630 +LP21-190 Methanotroph-related clones ATCGACTTCAAGGATCGCCG 20 582 ndashLP21-232 Methanotroph-related clones ATCGTCGCCATGTGCTTCGC 20 619 +mtrof173 Universal GGbGACTGGGACTTCTGG 18 582 +mtrof362-I Methanotrophs TGGGGCTGGACCTACTTCC 19 595 ndashmtrof656 Methanotrophs ACCTTCGGTAAGGACGT 17 532 +mtrof661 Methanotrophs GGTAARGACGTTGCKCCGG 19 619 +mtrof662-I Methanotrophs GGTAAGGACGTTGCGCCGG 19 619 ndashNmNc533 Nitrosomonas-Nitrosococcus CAACCCATTTGCCAATCGTTGTAG 24 586 + G C
570 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
probes targeted different species groups of species gen-era as well as higher taxonomic groups of methanotrophsand related bacteria Several broad specificity probes tar-geting AOBs were also designed and included in order toimprove the potential of the array for analysing variousenvironments including those potentially dominated byAOBs Two probes (mtrof173 and mtrof661) weredesigned to target the PCR primers pmoA189 and mb661respectively A third probe lsquouniversalrsquo to methanotrophs(mtrof362-I) was designed for a region in the middle of thepmoA sequence which is reasonably conserved amongstmethanotrophs
The most critical step of the probe design process is tofine tune the probe set in a way that all probes in the setdisplay hybridization behaviour as identical as possible Inthe first stage an attempt was made to design oligos withpredicted melting temperatures [according to the nearestneighbour model (Breslauer et al 1986)] of 60 plusmn 2infinC Insome cases this was not possible because of the limitedlength of differentiative sequence regions When no alter-native probe sites were found the probes with suboptimalmelting temperatures were accepted and synthesized Aspresent models can only predict melting temperatures offree oligos but not of those bound to solid surfaces (seedetailed discussion below) probes with suboptimal pre-dicted melting temperature do not necessarily performsuboptimally
The hybridization behaviour of oligonucleotide probesimmobilized onto a solid surface depends on several fac-tors Length GC content and exact sequence of theprobe these together are considered when predicting Tm
for the oligos by using the nearest neighbour method
(Breslauer et al 1986) Position of GC and AT pairs themiddle of the probe is more important in stabilizing hybrid-ization thus a probe with most of its GC content in themiddle binds to its target more strongly than another onewith homogenous GC distribution (but with identical lengthand GC content) (Guo et al 1994 Shchepinov et al1997 Hughes et al 2001) Secondary structures of theprobe and of the corresponding target when any of thesetwo are of significant strength compared to the strengthof hybridization between the probe and the target a sig-nificant drop in hybridization efficiency is expected Theexact nature of the overhanging nucleotides on the target(nucleotides immediately next to the area targeted by theprobe) this comes from the nearest method model butisnrsquot normally accounted for because the overhangs of thetarget sequence are not considered Number and type ofmismatches some mismatches have little while othershave very strong destabilizing effect (Sugimoto et al2000) Position of mismatches mismatches in the middleare more destabilizing than mismatches at end positions(Fotin et al 1998) Factors arising from the immobilizednature of the probes steric effects can hinder the forma-tion of hybrids between the target and the bound probeThis effect is much stronger for the immobilized end of theprobe Thus the bound end of the probe plays a lesserrole in the hybridization than the free end (Guo et al1994 Shchepinov et al 1997 Hughes et al 2001) Thisapplies for the position of GC and AT pairs as well as forthe position of mismatches Hybridization between DNAoligos and RNA fragments as in our case has slightlydifferent thermodynamics to that of DNAndashDNA hybridiza-tion (Hung et al 1994 Sugimoto et al 2000)
Nsm_eut381 Nitrosomonas eutropha CCACTCAATTTTGTAACCCCAGGTAT 26 590 +Pl6ndash306 Nitrosomonas-Nitrosococcus related clones GGCACTCTGTATCGTATGCCTGTTAG 26 605 +PS5-226 Nitrosomonas-Nitrosococcus related clones ACCCCGATTGTTGGGATGATGTA 23 599 +NsNv207 Nitrosospira-Nitrosovibrio TCAATGGTGGCCGGTGG 17 585 + GNsNv363 Nitrosospira-Nitrosovibrio TACTGGTGGTCGCACTACCC 20 596 + A T TNit_rel223 AOB related clones GTCACACCGATCGTAGAGGT 20 569 +Nit_rel351 AOB related clones GTTTGCCTGGTACTGGTGGG 20 592 +Nit_rel470 AOB related clones CGATATTCGGGGTATGGGCG 20 584 + ANit_rel304 AOB related clones CGCTCTGCATTCTGGCGCT 19 618 +M84P105-451 environmental clones of uncertain identity AACAGCCTGACTGTCACCAG 20 581 +WC306ndash54ndash385 environmental clones of uncertain identity AACGAAGTACTGCCGGCAAC 20 592 +M84P22-514 environmental clones of uncertain identity AACTGGGCCTGGCTGGG 17 610 +gp23ndash454 environmental clones of uncertain identity AACGCGCTGCTCACTGCG 18 623 +MR1-348 environmental clones of uncertain identity AATCTTCGGTTGGCACGGCT 20 611 +gp391 environmental clones of uncertain identity ATCTGGCCGGCGACCATG 18 611 +gp2ndash581 environmental clones of uncertain identity ACATGATCGGCTACGTGTATCCG 23 600 +RA21-466 clone RA21 ndash environmental clone of
uncertain identityCGGCGTTCTTGGCGGCAT 18 624 +
Namea Intended specificity Sequence 5cent AElig 3centb Length Tm Selectedc MMd
a Numbers at the end of the probe names refer to their relative positions on the Mc capsulatus (Bath) pmoA geneb Sequences are of the sense strandc Oligonucleotide probes of the final probe set are indicated by +0 Probes not selected are indicated by ndashd Nucleotide residue(s) at mismatch position(s) Other factors included in the calculation of weighed mismatches are also indicated
Table 1 cont
Diagnostic microarray for methanotrophs 571
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Based on the above criteria on initial results from test-ing the hybridization behavior of our probes and on pub-lished data (Shchepinov et al 1997 Fotin et al 1998Meroueh and Chow 1999 Sugimoto et al 2000) a set ofsimple findings was compiled which significantly improvedthe prediction of the hybridization behaviour of the probesThese findings are
(i) UAEligC changes in the target sequence leads to an rG-dT bond which is almost as strong as the original rA-dT bond (for perfect match cases) These are notconsidered as mismatches
(ii) GAEligA changes in the target sequence leads to an rU-dG bond which is almost as strong as the original rC-dG bond (for perfect match cases) These mis-matches are considered only if they are presenttogether with other types of mismatches
(iii) Mismatches in the end positions are not consideredMismatches adjacent to the end positions are consid-ered only if they are present together with other typesof mismatches
(iv) If most of the GC content of a probe is close to the5cent (immobilized) end the probe will display a signifi-cantly lower melting temperature than originally pre-dicted The same is true for a G or C residue in the3cent end position
(v) Probes with strong hairpin structures (DG ge 20) wereconsidered as having an extra mismatch to the target
(vi) High GC content probes shorter than 17 nucleotidesin length display unreliable hybridization behaviorunder the experimental conditions applied
Considering the above points another nine probeswere excluded and mismatch values were updated toweighed mismatch values The resulting set of 59 oligo-nucleotide probes was validated with a reference set of59 pure strains and environmental clones covering almostthe entire known diversity of methanotrophsand bacteriacarrying pmoAamoA homologues (listed in Fig 2) Sev-eral AOB clones were also included in the validationHybridizations were carried out at 55infinC with the aim ofallowing for perfect match and single (weighed) mismatchprobe-target pairs to hybridize Figure 1 shows some typ-ical hybridization results Hybridization between a probeand a target was considered positive if the signal was atleast 5 of the signal obtained for mtrof173 on the samearray There were unfortunately groups of clones forwhich no representative was available Figure 2 shows thepredicted hybridization behaviour of the probe set and theresults obtained
Out of 59 probes in the probe set we were unable toobtain reference targets for seven which were thus notpossible to validate Most (42) probes displayed hybridiza-tion behavior as predicted Two probes II510 and II630were expected to have unreliable hybridization behaviour
because of their shortness (in combination with a strongsecondary structure in case of II510) These two probeswere left in the probe set as we were unable to identify abetter region for a probe specific to the Type II methan-otrophs Eight probes displayed some unpredicted resultsThe unexpected positive result of Mcy409 came from acombination of a strong secondary structure and a mis-match The unexpected negative results of Msi232 wasobtained with targets displaying two adjacent mismatchesright at the 3cent end plus a third one at different internallocations of the probe Probe Ia577 displayed unexpectednegative results to three targets all having the a singlecentral mismatch U(r)A change resulting in an rU-dT pairreplacing the perfect match rA-dT pair
Fifty out of the 59 probes were succesfully validated(seven probes with no reference targets available and twosuboptimal probes II510 and II630 were not) Of the 2950individual hybridization reactions (50 validated probes yen59 reference strainssequences) 2931 (993) yieldedthe expected result by either showing detectable signalwhere expected or by no hybridization where a negativeresult was predicted Only 19 of the hybridization reac-tions (07) resulted in false negative or positive hybrid-ization Forty-two out of the 50 probes consideredbehaved 100 as predicted (in all of the hybridizationreactions) This success rate is acceptable when redun-dant probe sets (three or more probes for each speciesor higher taxonomic group targeted) are and can bedesigned There is however a need for an improvedmethod to predict hybridization behaviour of oligonucle-otide probes About half of the unpredicted results wereassociated with complicated cases where additionalparameters influencing hybridization behaviour had to beconsidered together with mismatches Mismatches espe-cially when their relative positions are also consideredcan reliably be accounted for only by a nearest-neighbourmethod based algorithm Software applying such an algo-rithm which considers further effects arising from theimmobilized nature of the probes as well as the second-ary structure of the probe and the target via user definedparameters is badly needed A computer program underdevelopment called CALCOLIGO is aiming exactly at fillingthis gap (J Csontos Bay Zoltaacuten Institute for Biotechnol-ogy Szeged Hungary pers comm)
Despite its apparent shortcomings the probe set candiagnose almost the entire known diversity of methanotro-phs and bacteria carrying pmoAamoA homologues Thegaps in the validation of probe set represent probesagainst unique clones or small groups of clones whichseem to be very poorly represented in the environmentsinvestigated so far Results from environmental samplesneed to be referred to the validation results with the ref-erence set rather than to the predicted ones thus mini-mizing the chances of false interpretation of results
572 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Evaluation of the microarray with environmental samples
To assess the applicability of the developed methanotrophmicroarray in environmental studies two different environ-mental samples were analysed
The first experiment was carried out with a soil samplefrom a landfill site collected at the end of the summerMicroarray results indicated that strains related to thegenera of Methylocaldum and Methylocystis were mostabundant in this sample In addition to Methylocaldum andMethylocystis pmoA specific probes general pmoAprobes for the B subgroup of Type I methanotrophs andfor the Type II methanotrophs also showed positive hybrid-ization Two further probes Mb478 and Msi232 were pos-itive Mb478 was known from the validation set to
hybridize strongly to pmoA of Methylocaldum tepidumthus this signal was accounted for as arising from Methy-localdum-related bacteria Msi232 is a probe with a singlemismatch towards pmoA from most Methylocystis strainsDuring validation experiments it was shown to displaystrong hybridization signal with pmoA from one clade ofMethylocystis Thus (weak) positive results with Msi232were accounted for as arising from Methylocystis relatedbacteria To confirm these results a pmoA clone librarywas constructed Out of 100 clones sequenced 91 con-tained inserts with high homology to pmoA sequencesSixty-five per cent of these clones were related to pmoAfrom Methylocaldum and 31 to pmoA from Methylocys-tis confirming the results of the microarray analysis Afurther 3 of the clones showed highest similarity to
Fig 1 A Schematic diagram of the microarray design Arrays were spotted in triplicate Frames indicate universal (lsquomtrofrsquo) probes spotted in multiple copies and spots with an external positive control probe (lsquohyaBprsquo results of this were not considered or used in the present study)B Detailed design of a single array with exact positions for each probeC Representative hybridizations with reference strains or environmental clones Probe hyaBp targets an independent gene (hyaB of E coli) It can be applied as an alternative control spot for normalization after spiking of the in vitro transcription reaction with hyaB PCR product Note that results of probe hyaBp were not considered throughout the work presented here Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Diagnostic microarray for methanotrophs 573
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig
2
Ran
ge o
f st
rain
cov
erag
e fo
r ol
igon
ucle
otid
e pr
obes
tar
getin
g pm
oAa
moA
gen
es o
f m
etha
notr
ophs
A
OB
s an
d ba
cter
ia c
arry
ing
pmoA
am
oA h
omol
ogue
s A
sim
ilar
tabl
e w
ith a
ll 51
4 se
quen
ces
cons
ider
ed (
with
out
hybr
idiz
atio
n re
sults
) is
ava
ilabl
e fr
om t
he a
utho
rs u
pon
requ
est
Und
er lsquoP
robe
srsquo b
lack
fill
indi
cate
s ex
pect
ed p
ositi
ve r
esul
ts
grey
fill
indi
cate
s po
sitiv
e re
sults
not
pr
edic
ted
and
thic
k bl
ack
fram
ing
indi
cate
s ne
gativ
e re
sults
whe
re h
ybrid
izat
ion
was
pre
dict
ed W
hite
num
bers
insi
de b
lack
and
gre
y bo
xes
indi
cate
the
num
ber
of lsquom
ism
atch
equ
ival
ents
rsquo as
desc
ribed
in t
he r
elev
ant
sect
ion
of R
esul
ts L
ette
rs in
gre
y bo
xes
indi
cate
pro
bes
of u
nrel
iabl
e hy
brid
izat
ion
beha
viou
r lsquoA
cent a
shor
t pr
obe
with
sig
nific
ant
seco
ndar
y st
ruct
ure
lsquoBcent a
sho
rt p
robe
N
ames
of
envi
ronm
enta
l clo
nes
are
prec
eded
by
an in
dica
tion
of t
heir
pred
icte
d im
med
iate
phy
loge
netic
rel
atio
nshi
p H
ighe
st a
nd lo
wes
t si
gnal
val
ues
( o
f th
at o
f m
trof
173
) ob
tain
ed w
ith f
ull
mat
ch ta
rget
s ar
e in
dica
ted
(lsquomax
val
rsquo an
d lsquom
inv
alrsquo)
Gre
y bo
xes
indi
cate
dat
a w
hich
are
not
rep
rese
ntat
ive
(Jpn
284
Est
514
Nc_
oce4
26 g
p23ndash
454
and
MR
1-34
8 n
o fu
ll m
atch
ref
eren
ce ta
rget
av
aila
ble
II5
10 a
nd I
I630
sho
rt p
robe
s of
unr
elia
ble
hybr
idiz
atio
n be
havi
our
B2r
el26
0 an
d N
sNV
207
dat
a fr
om s
ingl
e m
ism
atch
tar
gets
mtr
of 1
73 r
efer
ence
pro
be m
trof
661
tar
getin
g th
e re
vers
e pr
imer
app
lied
in m
ost
ampl
ifica
tions
) A
pm
oAa
moA
DN
A n
eigh
bour
tre
e is
add
ed t
o th
e le
ft pr
ovid
ing
furt
her
insi
ght
into
the
phy
loge
netic
rel
atio
nshi
ps o
f th
e re
fere
nce
set
The
sca
le
bar
indi
cate
s th
e es
timat
ed n
umbe
r of
bas
e ch
ange
s pe
r nu
cleo
tide
sequ
ence
pos
ition
Str
ain
C
lon
eP
r o
b e
s
Mm275
PS80-291
Mb460
Mb478
Mb271
511-436
Mb292
peat1-3-287
Mb_SL-299
Jpn284
Mm_pel467
Est514
LP20-644
Mmb303
Ia577
Nc_oce426
Mth413
Mc396
fw1-639
M90-201
Mcl408
Ib453
Ib559
Mcy262
Mcy409
Peat264
Msi520
Msi_tri309
Msi232
II510
II630
RA14-598
B2rel260
B2-400
B2all343
pmoAMO3-400
xb6-539
LP21-232
NmNc533
Nsm_eut381
Pl6-306
PS5-226
NsNv207
NsNv363
Nit_rel223
Nit_rel351
Nit_rel470
Nit_rel304
M84P105-451
WC306_54-385
M84P22-514
gp23-454
MR1-348
gp391
gp2-581
RA21-466
mtrof173
mtrof362-I
mtrof661
L21
2224
2018
2020
2025
1823
2023
2021
2025
1719
2019
2022
2019
2317
1918
1716
2025
1923
1917
2024
2626
2317
2020
2020
1920
2017
1820
1823
1818
1919
Tm
5958
6160
5856
5959
6158
6260
5860
5960
5862
6262
5862
6161
6160
6261
6160
6058
6061
6261
6362
5959
6160
5960
5759
5862
5859
6162
6161
6062
5860
62
Min
val
130
26
389
353
14
16
50
NA
77
NA
31
NA
152
41
22
NA
41
175
312
10
47
50
256
194
20
75
32
46
54
11
10
513
22
64
78
NA
192
87
189
91
373
112
12
335
49
103
29
88
111
17
116
NA
NA
22
34
58
100
84
NA
Max
val
180
26
389
353
72
16
80
NA
108
NA
31
NA
166
41
50
NA
41
175
312
10
47
158
371
194
38
75
34
46
167
39
29
513
22
64
89
NA
192
278
189
91
373
112
15
335
49
166
29
88
111
17
116
NA
NA
22
34
58
100
270
NA
Met
hyl
om
on
as c
lon
e M
90-P
12+
33
1M
eth
ylo
mo
nas
clo
ne
mv1
9pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv2
1pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv9
pa
+2
++
1M
eth
ylo
mo
nas
met
han
ica
clo
ne
D1
+2
++
2++
clo
ne
PS
-80
2+
33
Met
hyl
ob
acte
r cl
on
e S
L-5
102
2+
++
32
33
+3
Met
hyl
ob
acte
r cl
on
e m
v6p
b2
+3
1+
2+ +
Met
hyl
ob
acte
r cl
on
e m
v16p
a+
3+
3M
eth
ylo
bac
ter
clo
ne
5hm
-81
+3
32
+3
Un
iden
tifi
ed s
trai
n L
K5
1+
Met
hyl
ob
acte
rcl
on
e 5h
m-2
21
22
+3
1+
3M
eth
ylo
bac
ter
clo
ne
RB
-16
12
+3
2+
1M
eth
ylo
bac
ter
clo
ne
SL
-41
+3
3+
2+
Met
hyl
ob
acte
r c
lon
e 5h
m-2
31
32
+2
+M
eth
ylo
bac
ter
clo
ne
RB
-100
1+
33
2+
2+
Met
hyl
ob
acte
r c
lon
e L
OP
B 1
35
33
1+
31
+3
+L
P 2
0 g
rou
p c
lon
e M
90-P
503
++
1+
LP
20
gro
up
clo
ne
M90
-P24
3+
+1
+M
eth
ylo
mic
rob
ium
alb
um
BG
83
++
+2
+ ++
Met
hyl
osa
rcin
a fi
bri
ata
AM
L-C
10+
23
2+
+2
+
++2
+M
eth
ylo
ther
mu
sst
rain
HB
2+
1+
Met
hyl
oco
ccu
s ca
psu
latu
s (
Bat
h)
33
+2
++
Met
hyl
oco
ccu
s ca
psu
latu
s B
L4
33
12
++
++
501
gro
up
clo
ne
FW
-18
+1
+1
+ F
W-1
gro
up
clo
ne
pA
MC
512
33
+2
++
2M
eth
ylo
cald
um
rel
ated
clo
ne
M84
-P11
32
++
13
3+
+M
eth
ylo
cald
um
rela
ted
clo
ne
M90
-P75
33
2+
+1
33
++
Met
hyl
oca
ldu
m t
epid
um
LK
6+
+1
++
1M
eth
ylo
cyst
is c
lon
e S
L-5
70
+1
1A
B+
2M
eth
ylo
cyst
is c
lon
e L
OP
A 1
35
22
31
AB
1+
+M
eth
ylo
cyst
is c
lon
e F
12
+1
1A
B1
+1
Met
hyl
ocy
stis
str
ain
M2
+1
1A
B1
3+
+M
eth
ylo
cyst
is p
arvu
s O
BB
P2
+1
1A
B2
3gt7
+1
Pea
t cl
on
e P
129
E+
31
AB
+2
Met
hyl
osi
nu
scl
on
e rb
p46
3+
+A
B3
1M
eth
ylo
sin
us
tric
ho
spo
riu
m O
b3b
3+
+A
B3
+1
Met
hyl
osi
nu
s c
lon
e L
OP
B 1
33
33
3+
AB
13
+1
Met
hyl
osi
nu
s sp
ori
um
SE
23
++
AB
1+
+U
nid
enti
fied
str
ain
Y3
+A
B1
++
RA
14 g
rou
p c
lon
e R
A14
1+
+2
Met
hyl
oca
psa
rel
ated
clo
ne
JY-6
48
32
11
+3
Met
hyl
oca
psa
rel
ated
clo
ne
LO
PB
13
43
21
++
2M
eth
ylo
cap
sa a
cid
op
hila
B2
B1
++
gt7+
2L
P21
gro
up
clo
ne
P13
63
23
++
+1
LP
21 g
rou
p c
lon
e m
v12p
a+
1L
P21
gro
up
clo
ne
LO
PA
12
8B
3B
32
+2
++
1N
itro
som
on
as c
lon
e g
p1a
+1
1+
Nit
roso
mo
nas
eu
tro
ph
a1
+2
2+
Nit
roso
mo
nas
rela
ted
clo
ne
pl6
3+
21
2+
Nit
roso
mo
nas
rel
ated
clo
ne
PS
-5+
12
+N
itro
sosp
ira
clo
ne
LO
PA
12
32
++
AO
B r
elat
ed c
lon
e P
124
++
+A
OB
rel
ated
clo
ne
LO
PA
12
4+
1+
AO
B r
elat
ed c
lon
e g
p22
3+
+cl
on
e M
84-P
105
3+
clo
ne
WC
306-
54+
++
+ +cl
on
e M
84-P
222
1cl
on
e R
A21
3
+
+
+
+
01
1
+
+
+ +
+
574 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
pmoA from Methylomicrobium album strains The pres-ence of the Methylomicrobium album related strains wasnot detected by the microarray (relevant specific probeMmb303) This is due to the current detection limit whichis about 5 of cells in relation to the total bacterial com-munity analysed (ie containing pmoAamoA genes)There is also a statistical uncertainty in the percentagevalues derived from the analysis of only 91 clonesMicroarray and clone library results are shown on Fig 3
The second experiment was done using a sample froma soil microcosm incubated with CH4 as described byRadajewski et al (2002) Microarray experiments indi-cated the presence of methanotrophs belonging to twoclades The first clade the lsquopeat clonesrsquo group belongs toType II methanotrophs and is only known from acidic(peat) environments so far There are no cultured repre-sentatives of this group yet The second clade the LP21group is related to the Methylocapsa and to the RA14groups This clade consists of environmental clones ofvarious origins and of the lsquounusualrsquo second pmoA copiesfound in some Type II methanotrophs (Dunfield et al2002) This environmental sample has already beenanalysed by clone library construction and sequencing(Radajewski et al 2002) Fifty pmoAamoA clones wereanalysed (Fig 4) Eighteen per cent of the clonesbelonged to the peat clones group and 70 to the LP21group confirming the microarray results detecting thesetwo groups as the dominant ones Four per cent of theclones analysed belonged to the NitrosomonasNitroso-coccus group and 8 to the gp2 group The latter twogroups were not detected by the microarray analysis (rel-evant probes were NmNc534 for the NitrosomonasNitrosococcus group and gp391 and gp2ndash581 for the gp2group) The abundance of these groups was very near tothe detection level Furthermore the clone library and themicroarray analyses were done from different PCR reac-tions carried out from the same environmental DNAstock but in different laboratories Thus different PCRbiases may account for the discrepancy between themicroarray and clone library analysis results for these lowabundance sequences
Quantification of methanotrophs and related bacteriabased on pmoAamoA sequences is potentially biased bythe different number of pmoAamoA gene copies per cellThis has to be taken into account when interpreting suchresults
Quantification potential
Quantification potential of the developed microarray wastested with artificial mixtures of pmoA sequences Thisway it was possible to avoid the introduction of biasesinherent in DNA purification from environmental samplesand PCR with degenerate primers (Reysenbach et al
1992 Witzingerode et al 1997 Polz and Cavanaugh1998 Ishii and Fukui 2001) and the results show thepotential of the array to reflect the composition of the PCRmixture (rather than that of the original environmentalDNA or the original microbial community) By employinga reference mixture of known composition it was possibleto normalize variations in spot morphology and local dif-ferences in hybridization efficiency as well as for the sig-nificant variation in hybridization capacities betweendifferent probes
Our results shown in Fig 5 showed very good corre-lation between the true composition of the artificial mix-tures and the results of quantitative analysis of thehybridization results Standard deviation from expectedratios were in the range of 04ndash172 These results showthe potential of the microarray approach to reflect theratios within the PCR product (used as template for targetpreparation) As the first steps of the procedure includeenvironmental DNA purification and PCR with universalprimers the microarray approach is also prone to the biasinherent in these techniques
Quantification potential was further tested with the land-fill site and microcosm environmental samples (Fig 6)Results from the first analyses (hybridization with Cy3-labelled target prepared from environmental DNA) wereused to gain a rough estimate of the relative abundanceof methanotrophs in these samples Based on theseresults a mixture of reference sequences covering theobserved diversity was designed and labelled with Cy5Competitive (lsquotwo-colourrsquo) hybridization with the Cy3-labelled environmental and the Cy5-labelled reference tar-get was used to refine quantitative assessment of meth-anotroph community composition
In this quantification scheme a one-colour hybridizationis carried out first giving a rough estimation of the com-munity structure by referring back the relative intensitieson the array to the results from the reference straincloneset This information can also be used to select a subsetof reference strainsclones to be used in the next stagewhere the same target is then hybridized against theselected reference set and quantitative data are drawnfrom the ratios of the two signals The basic requirementof such a two-colour quantification approach is the abilityto identify and create an appropriate reference set Thisshould consist of sequences as similar to those in thesample as possible Failure to do so will result in skewedpredicted ratios Even though this limits the applicationpotential of this approach it can be very useful in studieswhere the same community is analysed over time or underdifferent conditions
By comparing the results of the two-colour microarrayhybridizations to the composition of the correspondingclone libraries (landfill site 14ndash30 predicted for Methy-localdum and 21ndash28 for Methylocystis versus 65 and
Diagnostic microarray for methanotrophs 575
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 3 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the landfill site sample The number of clones (out of 91 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the landfill site sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15Methylomonas methanica
Methylobacter sp LW 12Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
Nitrosococcus oceanus
31
66
Methylomicrobium album
Methylobacter sp LW 1M2 78 (2 clones)
M2 105 (1 clone)
47
88
Methylobacter sp LW14
88
55
Methylothermus sp HB
Methylocaldum tepidum
M2 11 (30 clones)M2 9 (6 clones)
M2 80 (1 clone)M2 19 (2 clones)
80
66
80
M2 32 (2 clones)Methylocaldum gracile
M2 37 (1 clone)
88
66
M2 4 (9 clones)Methylocaldum szegediense
M2 69 (1 clone)
80
M2 66 (1 clone)
99
56
M2 10 (2 clones)M2 83 (1 clone)
88
M2 26 (3 clones)
66
Clone M90-P4
99
Clone FW-1
54
Methylococcus capsulatus
CloneFW-18
78
43
36
46
Type II methanotroph AML-A6
M2 5 (2 clones)M2 12 (23 clones)
88
Type II methanotroph AML-A3
80
Methylocystis sp LW 5
39
Methylocystis sp M
M2 35 (3 clones)M2 53 (1 clone)M2 29 (1clone)
80
Methylocystis echinoides strain 491
88
99
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
69
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium strain SE 2
41
92
94
Methylocapsa acidophila strain B2
Clone RA 14
96
89
86
Nitrosococcus mobilis
Nitrosomonas eutropha
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone RA 21
77
010
Mb478
Mb478
Mcl408Ib453
Ib559
Mcy262
Mcy409
Msi 232II510II630
Mtrof661
Mtrof173
Mmb303
A
B
576 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 4 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the microcosm sample The number of clones (out of 50 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the microcosm sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15
Methylomonas methanica
Methylobacter sp LW 12
Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
31
Methylomicrobium album
Methylobacter sp LW 1
Methylobacter sp LW 14
47
55
Methylothermus sp HB
Methylococcus capsulatus
Clone FW-18
Methylocaldum szegediense
Clone M90-P4
Clone FW-1
54
43
78
36
46
Type II methanotroph AML-A6
Type II methanotroph AML-A3
Methylocystis sp LW 5
39
Methylocystis echinoides 491
Methylocystis sp M
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
Clone P129 (8 clones)
69
29
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium SE 2
41
92
94
Methylocapsa acidophila B2
Clone RA 14
96
Clone P128 (35 clones)Clone P1212 (1 clone)
Clone ferm_xb6
54
Clone LP 21
66
86
61
89
88
Nitrosomonas europaea
Nitrosococcus mobilis
Clone P1211 (2 clones)
11
Nitrosomonas eutropha
43
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone gp5
77
Clone gp2
Clone P1210 (4 clones)
98
90
Clone RA 21
010
Xb6-539
Peat264
Msi 232II510II630
Mtrof661
Mtrof173
LP21-232
NmNc533NsNv207NsNv363
Gp2-581 Gp391
A
B
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
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Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
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copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
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probes targeted different species groups of species gen-era as well as higher taxonomic groups of methanotrophsand related bacteria Several broad specificity probes tar-geting AOBs were also designed and included in order toimprove the potential of the array for analysing variousenvironments including those potentially dominated byAOBs Two probes (mtrof173 and mtrof661) weredesigned to target the PCR primers pmoA189 and mb661respectively A third probe lsquouniversalrsquo to methanotrophs(mtrof362-I) was designed for a region in the middle of thepmoA sequence which is reasonably conserved amongstmethanotrophs
The most critical step of the probe design process is tofine tune the probe set in a way that all probes in the setdisplay hybridization behaviour as identical as possible Inthe first stage an attempt was made to design oligos withpredicted melting temperatures [according to the nearestneighbour model (Breslauer et al 1986)] of 60 plusmn 2infinC Insome cases this was not possible because of the limitedlength of differentiative sequence regions When no alter-native probe sites were found the probes with suboptimalmelting temperatures were accepted and synthesized Aspresent models can only predict melting temperatures offree oligos but not of those bound to solid surfaces (seedetailed discussion below) probes with suboptimal pre-dicted melting temperature do not necessarily performsuboptimally
The hybridization behaviour of oligonucleotide probesimmobilized onto a solid surface depends on several fac-tors Length GC content and exact sequence of theprobe these together are considered when predicting Tm
for the oligos by using the nearest neighbour method
(Breslauer et al 1986) Position of GC and AT pairs themiddle of the probe is more important in stabilizing hybrid-ization thus a probe with most of its GC content in themiddle binds to its target more strongly than another onewith homogenous GC distribution (but with identical lengthand GC content) (Guo et al 1994 Shchepinov et al1997 Hughes et al 2001) Secondary structures of theprobe and of the corresponding target when any of thesetwo are of significant strength compared to the strengthof hybridization between the probe and the target a sig-nificant drop in hybridization efficiency is expected Theexact nature of the overhanging nucleotides on the target(nucleotides immediately next to the area targeted by theprobe) this comes from the nearest method model butisnrsquot normally accounted for because the overhangs of thetarget sequence are not considered Number and type ofmismatches some mismatches have little while othershave very strong destabilizing effect (Sugimoto et al2000) Position of mismatches mismatches in the middleare more destabilizing than mismatches at end positions(Fotin et al 1998) Factors arising from the immobilizednature of the probes steric effects can hinder the forma-tion of hybrids between the target and the bound probeThis effect is much stronger for the immobilized end of theprobe Thus the bound end of the probe plays a lesserrole in the hybridization than the free end (Guo et al1994 Shchepinov et al 1997 Hughes et al 2001) Thisapplies for the position of GC and AT pairs as well as forthe position of mismatches Hybridization between DNAoligos and RNA fragments as in our case has slightlydifferent thermodynamics to that of DNAndashDNA hybridiza-tion (Hung et al 1994 Sugimoto et al 2000)
Nsm_eut381 Nitrosomonas eutropha CCACTCAATTTTGTAACCCCAGGTAT 26 590 +Pl6ndash306 Nitrosomonas-Nitrosococcus related clones GGCACTCTGTATCGTATGCCTGTTAG 26 605 +PS5-226 Nitrosomonas-Nitrosococcus related clones ACCCCGATTGTTGGGATGATGTA 23 599 +NsNv207 Nitrosospira-Nitrosovibrio TCAATGGTGGCCGGTGG 17 585 + GNsNv363 Nitrosospira-Nitrosovibrio TACTGGTGGTCGCACTACCC 20 596 + A T TNit_rel223 AOB related clones GTCACACCGATCGTAGAGGT 20 569 +Nit_rel351 AOB related clones GTTTGCCTGGTACTGGTGGG 20 592 +Nit_rel470 AOB related clones CGATATTCGGGGTATGGGCG 20 584 + ANit_rel304 AOB related clones CGCTCTGCATTCTGGCGCT 19 618 +M84P105-451 environmental clones of uncertain identity AACAGCCTGACTGTCACCAG 20 581 +WC306ndash54ndash385 environmental clones of uncertain identity AACGAAGTACTGCCGGCAAC 20 592 +M84P22-514 environmental clones of uncertain identity AACTGGGCCTGGCTGGG 17 610 +gp23ndash454 environmental clones of uncertain identity AACGCGCTGCTCACTGCG 18 623 +MR1-348 environmental clones of uncertain identity AATCTTCGGTTGGCACGGCT 20 611 +gp391 environmental clones of uncertain identity ATCTGGCCGGCGACCATG 18 611 +gp2ndash581 environmental clones of uncertain identity ACATGATCGGCTACGTGTATCCG 23 600 +RA21-466 clone RA21 ndash environmental clone of
uncertain identityCGGCGTTCTTGGCGGCAT 18 624 +
Namea Intended specificity Sequence 5cent AElig 3centb Length Tm Selectedc MMd
a Numbers at the end of the probe names refer to their relative positions on the Mc capsulatus (Bath) pmoA geneb Sequences are of the sense strandc Oligonucleotide probes of the final probe set are indicated by +0 Probes not selected are indicated by ndashd Nucleotide residue(s) at mismatch position(s) Other factors included in the calculation of weighed mismatches are also indicated
Table 1 cont
Diagnostic microarray for methanotrophs 571
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Based on the above criteria on initial results from test-ing the hybridization behavior of our probes and on pub-lished data (Shchepinov et al 1997 Fotin et al 1998Meroueh and Chow 1999 Sugimoto et al 2000) a set ofsimple findings was compiled which significantly improvedthe prediction of the hybridization behaviour of the probesThese findings are
(i) UAEligC changes in the target sequence leads to an rG-dT bond which is almost as strong as the original rA-dT bond (for perfect match cases) These are notconsidered as mismatches
(ii) GAEligA changes in the target sequence leads to an rU-dG bond which is almost as strong as the original rC-dG bond (for perfect match cases) These mis-matches are considered only if they are presenttogether with other types of mismatches
(iii) Mismatches in the end positions are not consideredMismatches adjacent to the end positions are consid-ered only if they are present together with other typesof mismatches
(iv) If most of the GC content of a probe is close to the5cent (immobilized) end the probe will display a signifi-cantly lower melting temperature than originally pre-dicted The same is true for a G or C residue in the3cent end position
(v) Probes with strong hairpin structures (DG ge 20) wereconsidered as having an extra mismatch to the target
(vi) High GC content probes shorter than 17 nucleotidesin length display unreliable hybridization behaviorunder the experimental conditions applied
Considering the above points another nine probeswere excluded and mismatch values were updated toweighed mismatch values The resulting set of 59 oligo-nucleotide probes was validated with a reference set of59 pure strains and environmental clones covering almostthe entire known diversity of methanotrophsand bacteriacarrying pmoAamoA homologues (listed in Fig 2) Sev-eral AOB clones were also included in the validationHybridizations were carried out at 55infinC with the aim ofallowing for perfect match and single (weighed) mismatchprobe-target pairs to hybridize Figure 1 shows some typ-ical hybridization results Hybridization between a probeand a target was considered positive if the signal was atleast 5 of the signal obtained for mtrof173 on the samearray There were unfortunately groups of clones forwhich no representative was available Figure 2 shows thepredicted hybridization behaviour of the probe set and theresults obtained
Out of 59 probes in the probe set we were unable toobtain reference targets for seven which were thus notpossible to validate Most (42) probes displayed hybridiza-tion behavior as predicted Two probes II510 and II630were expected to have unreliable hybridization behaviour
because of their shortness (in combination with a strongsecondary structure in case of II510) These two probeswere left in the probe set as we were unable to identify abetter region for a probe specific to the Type II methan-otrophs Eight probes displayed some unpredicted resultsThe unexpected positive result of Mcy409 came from acombination of a strong secondary structure and a mis-match The unexpected negative results of Msi232 wasobtained with targets displaying two adjacent mismatchesright at the 3cent end plus a third one at different internallocations of the probe Probe Ia577 displayed unexpectednegative results to three targets all having the a singlecentral mismatch U(r)A change resulting in an rU-dT pairreplacing the perfect match rA-dT pair
Fifty out of the 59 probes were succesfully validated(seven probes with no reference targets available and twosuboptimal probes II510 and II630 were not) Of the 2950individual hybridization reactions (50 validated probes yen59 reference strainssequences) 2931 (993) yieldedthe expected result by either showing detectable signalwhere expected or by no hybridization where a negativeresult was predicted Only 19 of the hybridization reac-tions (07) resulted in false negative or positive hybrid-ization Forty-two out of the 50 probes consideredbehaved 100 as predicted (in all of the hybridizationreactions) This success rate is acceptable when redun-dant probe sets (three or more probes for each speciesor higher taxonomic group targeted) are and can bedesigned There is however a need for an improvedmethod to predict hybridization behaviour of oligonucle-otide probes About half of the unpredicted results wereassociated with complicated cases where additionalparameters influencing hybridization behaviour had to beconsidered together with mismatches Mismatches espe-cially when their relative positions are also consideredcan reliably be accounted for only by a nearest-neighbourmethod based algorithm Software applying such an algo-rithm which considers further effects arising from theimmobilized nature of the probes as well as the second-ary structure of the probe and the target via user definedparameters is badly needed A computer program underdevelopment called CALCOLIGO is aiming exactly at fillingthis gap (J Csontos Bay Zoltaacuten Institute for Biotechnol-ogy Szeged Hungary pers comm)
Despite its apparent shortcomings the probe set candiagnose almost the entire known diversity of methanotro-phs and bacteria carrying pmoAamoA homologues Thegaps in the validation of probe set represent probesagainst unique clones or small groups of clones whichseem to be very poorly represented in the environmentsinvestigated so far Results from environmental samplesneed to be referred to the validation results with the ref-erence set rather than to the predicted ones thus mini-mizing the chances of false interpretation of results
572 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Evaluation of the microarray with environmental samples
To assess the applicability of the developed methanotrophmicroarray in environmental studies two different environ-mental samples were analysed
The first experiment was carried out with a soil samplefrom a landfill site collected at the end of the summerMicroarray results indicated that strains related to thegenera of Methylocaldum and Methylocystis were mostabundant in this sample In addition to Methylocaldum andMethylocystis pmoA specific probes general pmoAprobes for the B subgroup of Type I methanotrophs andfor the Type II methanotrophs also showed positive hybrid-ization Two further probes Mb478 and Msi232 were pos-itive Mb478 was known from the validation set to
hybridize strongly to pmoA of Methylocaldum tepidumthus this signal was accounted for as arising from Methy-localdum-related bacteria Msi232 is a probe with a singlemismatch towards pmoA from most Methylocystis strainsDuring validation experiments it was shown to displaystrong hybridization signal with pmoA from one clade ofMethylocystis Thus (weak) positive results with Msi232were accounted for as arising from Methylocystis relatedbacteria To confirm these results a pmoA clone librarywas constructed Out of 100 clones sequenced 91 con-tained inserts with high homology to pmoA sequencesSixty-five per cent of these clones were related to pmoAfrom Methylocaldum and 31 to pmoA from Methylocys-tis confirming the results of the microarray analysis Afurther 3 of the clones showed highest similarity to
Fig 1 A Schematic diagram of the microarray design Arrays were spotted in triplicate Frames indicate universal (lsquomtrofrsquo) probes spotted in multiple copies and spots with an external positive control probe (lsquohyaBprsquo results of this were not considered or used in the present study)B Detailed design of a single array with exact positions for each probeC Representative hybridizations with reference strains or environmental clones Probe hyaBp targets an independent gene (hyaB of E coli) It can be applied as an alternative control spot for normalization after spiking of the in vitro transcription reaction with hyaB PCR product Note that results of probe hyaBp were not considered throughout the work presented here Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Diagnostic microarray for methanotrophs 573
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig
2
Ran
ge o
f st
rain
cov
erag
e fo
r ol
igon
ucle
otid
e pr
obes
tar
getin
g pm
oAa
moA
gen
es o
f m
etha
notr
ophs
A
OB
s an
d ba
cter
ia c
arry
ing
pmoA
am
oA h
omol
ogue
s A
sim
ilar
tabl
e w
ith a
ll 51
4 se
quen
ces
cons
ider
ed (
with
out
hybr
idiz
atio
n re
sults
) is
ava
ilabl
e fr
om t
he a
utho
rs u
pon
requ
est
Und
er lsquoP
robe
srsquo b
lack
fill
indi
cate
s ex
pect
ed p
ositi
ve r
esul
ts
grey
fill
indi
cate
s po
sitiv
e re
sults
not
pr
edic
ted
and
thic
k bl
ack
fram
ing
indi
cate
s ne
gativ
e re
sults
whe
re h
ybrid
izat
ion
was
pre
dict
ed W
hite
num
bers
insi
de b
lack
and
gre
y bo
xes
indi
cate
the
num
ber
of lsquom
ism
atch
equ
ival
ents
rsquo as
desc
ribed
in t
he r
elev
ant
sect
ion
of R
esul
ts L
ette
rs in
gre
y bo
xes
indi
cate
pro
bes
of u
nrel
iabl
e hy
brid
izat
ion
beha
viou
r lsquoA
cent a
shor
t pr
obe
with
sig
nific
ant
seco
ndar
y st
ruct
ure
lsquoBcent a
sho
rt p
robe
N
ames
of
envi
ronm
enta
l clo
nes
are
prec
eded
by
an in
dica
tion
of t
heir
pred
icte
d im
med
iate
phy
loge
netic
rel
atio
nshi
p H
ighe
st a
nd lo
wes
t si
gnal
val
ues
( o
f th
at o
f m
trof
173
) ob
tain
ed w
ith f
ull
mat
ch ta
rget
s ar
e in
dica
ted
(lsquomax
val
rsquo an
d lsquom
inv
alrsquo)
Gre
y bo
xes
indi
cate
dat
a w
hich
are
not
rep
rese
ntat
ive
(Jpn
284
Est
514
Nc_
oce4
26 g
p23ndash
454
and
MR
1-34
8 n
o fu
ll m
atch
ref
eren
ce ta
rget
av
aila
ble
II5
10 a
nd I
I630
sho
rt p
robe
s of
unr
elia
ble
hybr
idiz
atio
n be
havi
our
B2r
el26
0 an
d N
sNV
207
dat
a fr
om s
ingl
e m
ism
atch
tar
gets
mtr
of 1
73 r
efer
ence
pro
be m
trof
661
tar
getin
g th
e re
vers
e pr
imer
app
lied
in m
ost
ampl
ifica
tions
) A
pm
oAa
moA
DN
A n
eigh
bour
tre
e is
add
ed t
o th
e le
ft pr
ovid
ing
furt
her
insi
ght
into
the
phy
loge
netic
rel
atio
nshi
ps o
f th
e re
fere
nce
set
The
sca
le
bar
indi
cate
s th
e es
timat
ed n
umbe
r of
bas
e ch
ange
s pe
r nu
cleo
tide
sequ
ence
pos
ition
Str
ain
C
lon
eP
r o
b e
s
Mm275
PS80-291
Mb460
Mb478
Mb271
511-436
Mb292
peat1-3-287
Mb_SL-299
Jpn284
Mm_pel467
Est514
LP20-644
Mmb303
Ia577
Nc_oce426
Mth413
Mc396
fw1-639
M90-201
Mcl408
Ib453
Ib559
Mcy262
Mcy409
Peat264
Msi520
Msi_tri309
Msi232
II510
II630
RA14-598
B2rel260
B2-400
B2all343
pmoAMO3-400
xb6-539
LP21-232
NmNc533
Nsm_eut381
Pl6-306
PS5-226
NsNv207
NsNv363
Nit_rel223
Nit_rel351
Nit_rel470
Nit_rel304
M84P105-451
WC306_54-385
M84P22-514
gp23-454
MR1-348
gp391
gp2-581
RA21-466
mtrof173
mtrof362-I
mtrof661
L21
2224
2018
2020
2025
1823
2023
2021
2025
1719
2019
2022
2019
2317
1918
1716
2025
1923
1917
2024
2626
2317
2020
2020
1920
2017
1820
1823
1818
1919
Tm
5958
6160
5856
5959
6158
6260
5860
5960
5862
6262
5862
6161
6160
6261
6160
6058
6061
6261
6362
5959
6160
5960
5759
5862
5859
6162
6161
6062
5860
62
Min
val
130
26
389
353
14
16
50
NA
77
NA
31
NA
152
41
22
NA
41
175
312
10
47
50
256
194
20
75
32
46
54
11
10
513
22
64
78
NA
192
87
189
91
373
112
12
335
49
103
29
88
111
17
116
NA
NA
22
34
58
100
84
NA
Max
val
180
26
389
353
72
16
80
NA
108
NA
31
NA
166
41
50
NA
41
175
312
10
47
158
371
194
38
75
34
46
167
39
29
513
22
64
89
NA
192
278
189
91
373
112
15
335
49
166
29
88
111
17
116
NA
NA
22
34
58
100
270
NA
Met
hyl
om
on
as c
lon
e M
90-P
12+
33
1M
eth
ylo
mo
nas
clo
ne
mv1
9pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv2
1pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv9
pa
+2
++
1M
eth
ylo
mo
nas
met
han
ica
clo
ne
D1
+2
++
2++
clo
ne
PS
-80
2+
33
Met
hyl
ob
acte
r cl
on
e S
L-5
102
2+
++
32
33
+3
Met
hyl
ob
acte
r cl
on
e m
v6p
b2
+3
1+
2+ +
Met
hyl
ob
acte
r cl
on
e m
v16p
a+
3+
3M
eth
ylo
bac
ter
clo
ne
5hm
-81
+3
32
+3
Un
iden
tifi
ed s
trai
n L
K5
1+
Met
hyl
ob
acte
rcl
on
e 5h
m-2
21
22
+3
1+
3M
eth
ylo
bac
ter
clo
ne
RB
-16
12
+3
2+
1M
eth
ylo
bac
ter
clo
ne
SL
-41
+3
3+
2+
Met
hyl
ob
acte
r c
lon
e 5h
m-2
31
32
+2
+M
eth
ylo
bac
ter
clo
ne
RB
-100
1+
33
2+
2+
Met
hyl
ob
acte
r c
lon
e L
OP
B 1
35
33
1+
31
+3
+L
P 2
0 g
rou
p c
lon
e M
90-P
503
++
1+
LP
20
gro
up
clo
ne
M90
-P24
3+
+1
+M
eth
ylo
mic
rob
ium
alb
um
BG
83
++
+2
+ ++
Met
hyl
osa
rcin
a fi
bri
ata
AM
L-C
10+
23
2+
+2
+
++2
+M
eth
ylo
ther
mu
sst
rain
HB
2+
1+
Met
hyl
oco
ccu
s ca
psu
latu
s (
Bat
h)
33
+2
++
Met
hyl
oco
ccu
s ca
psu
latu
s B
L4
33
12
++
++
501
gro
up
clo
ne
FW
-18
+1
+1
+ F
W-1
gro
up
clo
ne
pA
MC
512
33
+2
++
2M
eth
ylo
cald
um
rel
ated
clo
ne
M84
-P11
32
++
13
3+
+M
eth
ylo
cald
um
rela
ted
clo
ne
M90
-P75
33
2+
+1
33
++
Met
hyl
oca
ldu
m t
epid
um
LK
6+
+1
++
1M
eth
ylo
cyst
is c
lon
e S
L-5
70
+1
1A
B+
2M
eth
ylo
cyst
is c
lon
e L
OP
A 1
35
22
31
AB
1+
+M
eth
ylo
cyst
is c
lon
e F
12
+1
1A
B1
+1
Met
hyl
ocy
stis
str
ain
M2
+1
1A
B1
3+
+M
eth
ylo
cyst
is p
arvu
s O
BB
P2
+1
1A
B2
3gt7
+1
Pea
t cl
on
e P
129
E+
31
AB
+2
Met
hyl
osi
nu
scl
on
e rb
p46
3+
+A
B3
1M
eth
ylo
sin
us
tric
ho
spo
riu
m O
b3b
3+
+A
B3
+1
Met
hyl
osi
nu
s c
lon
e L
OP
B 1
33
33
3+
AB
13
+1
Met
hyl
osi
nu
s sp
ori
um
SE
23
++
AB
1+
+U
nid
enti
fied
str
ain
Y3
+A
B1
++
RA
14 g
rou
p c
lon
e R
A14
1+
+2
Met
hyl
oca
psa
rel
ated
clo
ne
JY-6
48
32
11
+3
Met
hyl
oca
psa
rel
ated
clo
ne
LO
PB
13
43
21
++
2M
eth
ylo
cap
sa a
cid
op
hila
B2
B1
++
gt7+
2L
P21
gro
up
clo
ne
P13
63
23
++
+1
LP
21 g
rou
p c
lon
e m
v12p
a+
1L
P21
gro
up
clo
ne
LO
PA
12
8B
3B
32
+2
++
1N
itro
som
on
as c
lon
e g
p1a
+1
1+
Nit
roso
mo
nas
eu
tro
ph
a1
+2
2+
Nit
roso
mo
nas
rela
ted
clo
ne
pl6
3+
21
2+
Nit
roso
mo
nas
rel
ated
clo
ne
PS
-5+
12
+N
itro
sosp
ira
clo
ne
LO
PA
12
32
++
AO
B r
elat
ed c
lon
e P
124
++
+A
OB
rel
ated
clo
ne
LO
PA
12
4+
1+
AO
B r
elat
ed c
lon
e g
p22
3+
+cl
on
e M
84-P
105
3+
clo
ne
WC
306-
54+
++
+ +cl
on
e M
84-P
222
1cl
on
e R
A21
3
+
+
+
+
01
1
+
+
+ +
+
574 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
pmoA from Methylomicrobium album strains The pres-ence of the Methylomicrobium album related strains wasnot detected by the microarray (relevant specific probeMmb303) This is due to the current detection limit whichis about 5 of cells in relation to the total bacterial com-munity analysed (ie containing pmoAamoA genes)There is also a statistical uncertainty in the percentagevalues derived from the analysis of only 91 clonesMicroarray and clone library results are shown on Fig 3
The second experiment was done using a sample froma soil microcosm incubated with CH4 as described byRadajewski et al (2002) Microarray experiments indi-cated the presence of methanotrophs belonging to twoclades The first clade the lsquopeat clonesrsquo group belongs toType II methanotrophs and is only known from acidic(peat) environments so far There are no cultured repre-sentatives of this group yet The second clade the LP21group is related to the Methylocapsa and to the RA14groups This clade consists of environmental clones ofvarious origins and of the lsquounusualrsquo second pmoA copiesfound in some Type II methanotrophs (Dunfield et al2002) This environmental sample has already beenanalysed by clone library construction and sequencing(Radajewski et al 2002) Fifty pmoAamoA clones wereanalysed (Fig 4) Eighteen per cent of the clonesbelonged to the peat clones group and 70 to the LP21group confirming the microarray results detecting thesetwo groups as the dominant ones Four per cent of theclones analysed belonged to the NitrosomonasNitroso-coccus group and 8 to the gp2 group The latter twogroups were not detected by the microarray analysis (rel-evant probes were NmNc534 for the NitrosomonasNitrosococcus group and gp391 and gp2ndash581 for the gp2group) The abundance of these groups was very near tothe detection level Furthermore the clone library and themicroarray analyses were done from different PCR reac-tions carried out from the same environmental DNAstock but in different laboratories Thus different PCRbiases may account for the discrepancy between themicroarray and clone library analysis results for these lowabundance sequences
Quantification of methanotrophs and related bacteriabased on pmoAamoA sequences is potentially biased bythe different number of pmoAamoA gene copies per cellThis has to be taken into account when interpreting suchresults
Quantification potential
Quantification potential of the developed microarray wastested with artificial mixtures of pmoA sequences Thisway it was possible to avoid the introduction of biasesinherent in DNA purification from environmental samplesand PCR with degenerate primers (Reysenbach et al
1992 Witzingerode et al 1997 Polz and Cavanaugh1998 Ishii and Fukui 2001) and the results show thepotential of the array to reflect the composition of the PCRmixture (rather than that of the original environmentalDNA or the original microbial community) By employinga reference mixture of known composition it was possibleto normalize variations in spot morphology and local dif-ferences in hybridization efficiency as well as for the sig-nificant variation in hybridization capacities betweendifferent probes
Our results shown in Fig 5 showed very good corre-lation between the true composition of the artificial mix-tures and the results of quantitative analysis of thehybridization results Standard deviation from expectedratios were in the range of 04ndash172 These results showthe potential of the microarray approach to reflect theratios within the PCR product (used as template for targetpreparation) As the first steps of the procedure includeenvironmental DNA purification and PCR with universalprimers the microarray approach is also prone to the biasinherent in these techniques
Quantification potential was further tested with the land-fill site and microcosm environmental samples (Fig 6)Results from the first analyses (hybridization with Cy3-labelled target prepared from environmental DNA) wereused to gain a rough estimate of the relative abundanceof methanotrophs in these samples Based on theseresults a mixture of reference sequences covering theobserved diversity was designed and labelled with Cy5Competitive (lsquotwo-colourrsquo) hybridization with the Cy3-labelled environmental and the Cy5-labelled reference tar-get was used to refine quantitative assessment of meth-anotroph community composition
In this quantification scheme a one-colour hybridizationis carried out first giving a rough estimation of the com-munity structure by referring back the relative intensitieson the array to the results from the reference straincloneset This information can also be used to select a subsetof reference strainsclones to be used in the next stagewhere the same target is then hybridized against theselected reference set and quantitative data are drawnfrom the ratios of the two signals The basic requirementof such a two-colour quantification approach is the abilityto identify and create an appropriate reference set Thisshould consist of sequences as similar to those in thesample as possible Failure to do so will result in skewedpredicted ratios Even though this limits the applicationpotential of this approach it can be very useful in studieswhere the same community is analysed over time or underdifferent conditions
By comparing the results of the two-colour microarrayhybridizations to the composition of the correspondingclone libraries (landfill site 14ndash30 predicted for Methy-localdum and 21ndash28 for Methylocystis versus 65 and
Diagnostic microarray for methanotrophs 575
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 3 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the landfill site sample The number of clones (out of 91 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the landfill site sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15Methylomonas methanica
Methylobacter sp LW 12Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
Nitrosococcus oceanus
31
66
Methylomicrobium album
Methylobacter sp LW 1M2 78 (2 clones)
M2 105 (1 clone)
47
88
Methylobacter sp LW14
88
55
Methylothermus sp HB
Methylocaldum tepidum
M2 11 (30 clones)M2 9 (6 clones)
M2 80 (1 clone)M2 19 (2 clones)
80
66
80
M2 32 (2 clones)Methylocaldum gracile
M2 37 (1 clone)
88
66
M2 4 (9 clones)Methylocaldum szegediense
M2 69 (1 clone)
80
M2 66 (1 clone)
99
56
M2 10 (2 clones)M2 83 (1 clone)
88
M2 26 (3 clones)
66
Clone M90-P4
99
Clone FW-1
54
Methylococcus capsulatus
CloneFW-18
78
43
36
46
Type II methanotroph AML-A6
M2 5 (2 clones)M2 12 (23 clones)
88
Type II methanotroph AML-A3
80
Methylocystis sp LW 5
39
Methylocystis sp M
M2 35 (3 clones)M2 53 (1 clone)M2 29 (1clone)
80
Methylocystis echinoides strain 491
88
99
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
69
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium strain SE 2
41
92
94
Methylocapsa acidophila strain B2
Clone RA 14
96
89
86
Nitrosococcus mobilis
Nitrosomonas eutropha
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone RA 21
77
010
Mb478
Mb478
Mcl408Ib453
Ib559
Mcy262
Mcy409
Msi 232II510II630
Mtrof661
Mtrof173
Mmb303
A
B
576 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 4 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the microcosm sample The number of clones (out of 50 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the microcosm sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15
Methylomonas methanica
Methylobacter sp LW 12
Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
31
Methylomicrobium album
Methylobacter sp LW 1
Methylobacter sp LW 14
47
55
Methylothermus sp HB
Methylococcus capsulatus
Clone FW-18
Methylocaldum szegediense
Clone M90-P4
Clone FW-1
54
43
78
36
46
Type II methanotroph AML-A6
Type II methanotroph AML-A3
Methylocystis sp LW 5
39
Methylocystis echinoides 491
Methylocystis sp M
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
Clone P129 (8 clones)
69
29
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium SE 2
41
92
94
Methylocapsa acidophila B2
Clone RA 14
96
Clone P128 (35 clones)Clone P1212 (1 clone)
Clone ferm_xb6
54
Clone LP 21
66
86
61
89
88
Nitrosomonas europaea
Nitrosococcus mobilis
Clone P1211 (2 clones)
11
Nitrosomonas eutropha
43
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone gp5
77
Clone gp2
Clone P1210 (4 clones)
98
90
Clone RA 21
010
Xb6-539
Peat264
Msi 232II510II630
Mtrof661
Mtrof173
LP21-232
NmNc533NsNv207NsNv363
Gp2-581 Gp391
A
B
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
Anthony RM Brown TJ and French GL (2000) Rapiddiagnosis of bacteremia by universal amplification of 23Sribosomal DNA followed by hybridization to an oligonucle-otide array J Clin Microbiol 38 781ndash788
Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
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copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
Diagnostic microarray for methanotrophs 571
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Based on the above criteria on initial results from test-ing the hybridization behavior of our probes and on pub-lished data (Shchepinov et al 1997 Fotin et al 1998Meroueh and Chow 1999 Sugimoto et al 2000) a set ofsimple findings was compiled which significantly improvedthe prediction of the hybridization behaviour of the probesThese findings are
(i) UAEligC changes in the target sequence leads to an rG-dT bond which is almost as strong as the original rA-dT bond (for perfect match cases) These are notconsidered as mismatches
(ii) GAEligA changes in the target sequence leads to an rU-dG bond which is almost as strong as the original rC-dG bond (for perfect match cases) These mis-matches are considered only if they are presenttogether with other types of mismatches
(iii) Mismatches in the end positions are not consideredMismatches adjacent to the end positions are consid-ered only if they are present together with other typesof mismatches
(iv) If most of the GC content of a probe is close to the5cent (immobilized) end the probe will display a signifi-cantly lower melting temperature than originally pre-dicted The same is true for a G or C residue in the3cent end position
(v) Probes with strong hairpin structures (DG ge 20) wereconsidered as having an extra mismatch to the target
(vi) High GC content probes shorter than 17 nucleotidesin length display unreliable hybridization behaviorunder the experimental conditions applied
Considering the above points another nine probeswere excluded and mismatch values were updated toweighed mismatch values The resulting set of 59 oligo-nucleotide probes was validated with a reference set of59 pure strains and environmental clones covering almostthe entire known diversity of methanotrophsand bacteriacarrying pmoAamoA homologues (listed in Fig 2) Sev-eral AOB clones were also included in the validationHybridizations were carried out at 55infinC with the aim ofallowing for perfect match and single (weighed) mismatchprobe-target pairs to hybridize Figure 1 shows some typ-ical hybridization results Hybridization between a probeand a target was considered positive if the signal was atleast 5 of the signal obtained for mtrof173 on the samearray There were unfortunately groups of clones forwhich no representative was available Figure 2 shows thepredicted hybridization behaviour of the probe set and theresults obtained
Out of 59 probes in the probe set we were unable toobtain reference targets for seven which were thus notpossible to validate Most (42) probes displayed hybridiza-tion behavior as predicted Two probes II510 and II630were expected to have unreliable hybridization behaviour
because of their shortness (in combination with a strongsecondary structure in case of II510) These two probeswere left in the probe set as we were unable to identify abetter region for a probe specific to the Type II methan-otrophs Eight probes displayed some unpredicted resultsThe unexpected positive result of Mcy409 came from acombination of a strong secondary structure and a mis-match The unexpected negative results of Msi232 wasobtained with targets displaying two adjacent mismatchesright at the 3cent end plus a third one at different internallocations of the probe Probe Ia577 displayed unexpectednegative results to three targets all having the a singlecentral mismatch U(r)A change resulting in an rU-dT pairreplacing the perfect match rA-dT pair
Fifty out of the 59 probes were succesfully validated(seven probes with no reference targets available and twosuboptimal probes II510 and II630 were not) Of the 2950individual hybridization reactions (50 validated probes yen59 reference strainssequences) 2931 (993) yieldedthe expected result by either showing detectable signalwhere expected or by no hybridization where a negativeresult was predicted Only 19 of the hybridization reac-tions (07) resulted in false negative or positive hybrid-ization Forty-two out of the 50 probes consideredbehaved 100 as predicted (in all of the hybridizationreactions) This success rate is acceptable when redun-dant probe sets (three or more probes for each speciesor higher taxonomic group targeted) are and can bedesigned There is however a need for an improvedmethod to predict hybridization behaviour of oligonucle-otide probes About half of the unpredicted results wereassociated with complicated cases where additionalparameters influencing hybridization behaviour had to beconsidered together with mismatches Mismatches espe-cially when their relative positions are also consideredcan reliably be accounted for only by a nearest-neighbourmethod based algorithm Software applying such an algo-rithm which considers further effects arising from theimmobilized nature of the probes as well as the second-ary structure of the probe and the target via user definedparameters is badly needed A computer program underdevelopment called CALCOLIGO is aiming exactly at fillingthis gap (J Csontos Bay Zoltaacuten Institute for Biotechnol-ogy Szeged Hungary pers comm)
Despite its apparent shortcomings the probe set candiagnose almost the entire known diversity of methanotro-phs and bacteria carrying pmoAamoA homologues Thegaps in the validation of probe set represent probesagainst unique clones or small groups of clones whichseem to be very poorly represented in the environmentsinvestigated so far Results from environmental samplesneed to be referred to the validation results with the ref-erence set rather than to the predicted ones thus mini-mizing the chances of false interpretation of results
572 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Evaluation of the microarray with environmental samples
To assess the applicability of the developed methanotrophmicroarray in environmental studies two different environ-mental samples were analysed
The first experiment was carried out with a soil samplefrom a landfill site collected at the end of the summerMicroarray results indicated that strains related to thegenera of Methylocaldum and Methylocystis were mostabundant in this sample In addition to Methylocaldum andMethylocystis pmoA specific probes general pmoAprobes for the B subgroup of Type I methanotrophs andfor the Type II methanotrophs also showed positive hybrid-ization Two further probes Mb478 and Msi232 were pos-itive Mb478 was known from the validation set to
hybridize strongly to pmoA of Methylocaldum tepidumthus this signal was accounted for as arising from Methy-localdum-related bacteria Msi232 is a probe with a singlemismatch towards pmoA from most Methylocystis strainsDuring validation experiments it was shown to displaystrong hybridization signal with pmoA from one clade ofMethylocystis Thus (weak) positive results with Msi232were accounted for as arising from Methylocystis relatedbacteria To confirm these results a pmoA clone librarywas constructed Out of 100 clones sequenced 91 con-tained inserts with high homology to pmoA sequencesSixty-five per cent of these clones were related to pmoAfrom Methylocaldum and 31 to pmoA from Methylocys-tis confirming the results of the microarray analysis Afurther 3 of the clones showed highest similarity to
Fig 1 A Schematic diagram of the microarray design Arrays were spotted in triplicate Frames indicate universal (lsquomtrofrsquo) probes spotted in multiple copies and spots with an external positive control probe (lsquohyaBprsquo results of this were not considered or used in the present study)B Detailed design of a single array with exact positions for each probeC Representative hybridizations with reference strains or environmental clones Probe hyaBp targets an independent gene (hyaB of E coli) It can be applied as an alternative control spot for normalization after spiking of the in vitro transcription reaction with hyaB PCR product Note that results of probe hyaBp were not considered throughout the work presented here Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Diagnostic microarray for methanotrophs 573
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig
2
Ran
ge o
f st
rain
cov
erag
e fo
r ol
igon
ucle
otid
e pr
obes
tar
getin
g pm
oAa
moA
gen
es o
f m
etha
notr
ophs
A
OB
s an
d ba
cter
ia c
arry
ing
pmoA
am
oA h
omol
ogue
s A
sim
ilar
tabl
e w
ith a
ll 51
4 se
quen
ces
cons
ider
ed (
with
out
hybr
idiz
atio
n re
sults
) is
ava
ilabl
e fr
om t
he a
utho
rs u
pon
requ
est
Und
er lsquoP
robe
srsquo b
lack
fill
indi
cate
s ex
pect
ed p
ositi
ve r
esul
ts
grey
fill
indi
cate
s po
sitiv
e re
sults
not
pr
edic
ted
and
thic
k bl
ack
fram
ing
indi
cate
s ne
gativ
e re
sults
whe
re h
ybrid
izat
ion
was
pre
dict
ed W
hite
num
bers
insi
de b
lack
and
gre
y bo
xes
indi
cate
the
num
ber
of lsquom
ism
atch
equ
ival
ents
rsquo as
desc
ribed
in t
he r
elev
ant
sect
ion
of R
esul
ts L
ette
rs in
gre
y bo
xes
indi
cate
pro
bes
of u
nrel
iabl
e hy
brid
izat
ion
beha
viou
r lsquoA
cent a
shor
t pr
obe
with
sig
nific
ant
seco
ndar
y st
ruct
ure
lsquoBcent a
sho
rt p
robe
N
ames
of
envi
ronm
enta
l clo
nes
are
prec
eded
by
an in
dica
tion
of t
heir
pred
icte
d im
med
iate
phy
loge
netic
rel
atio
nshi
p H
ighe
st a
nd lo
wes
t si
gnal
val
ues
( o
f th
at o
f m
trof
173
) ob
tain
ed w
ith f
ull
mat
ch ta
rget
s ar
e in
dica
ted
(lsquomax
val
rsquo an
d lsquom
inv
alrsquo)
Gre
y bo
xes
indi
cate
dat
a w
hich
are
not
rep
rese
ntat
ive
(Jpn
284
Est
514
Nc_
oce4
26 g
p23ndash
454
and
MR
1-34
8 n
o fu
ll m
atch
ref
eren
ce ta
rget
av
aila
ble
II5
10 a
nd I
I630
sho
rt p
robe
s of
unr
elia
ble
hybr
idiz
atio
n be
havi
our
B2r
el26
0 an
d N
sNV
207
dat
a fr
om s
ingl
e m
ism
atch
tar
gets
mtr
of 1
73 r
efer
ence
pro
be m
trof
661
tar
getin
g th
e re
vers
e pr
imer
app
lied
in m
ost
ampl
ifica
tions
) A
pm
oAa
moA
DN
A n
eigh
bour
tre
e is
add
ed t
o th
e le
ft pr
ovid
ing
furt
her
insi
ght
into
the
phy
loge
netic
rel
atio
nshi
ps o
f th
e re
fere
nce
set
The
sca
le
bar
indi
cate
s th
e es
timat
ed n
umbe
r of
bas
e ch
ange
s pe
r nu
cleo
tide
sequ
ence
pos
ition
Str
ain
C
lon
eP
r o
b e
s
Mm275
PS80-291
Mb460
Mb478
Mb271
511-436
Mb292
peat1-3-287
Mb_SL-299
Jpn284
Mm_pel467
Est514
LP20-644
Mmb303
Ia577
Nc_oce426
Mth413
Mc396
fw1-639
M90-201
Mcl408
Ib453
Ib559
Mcy262
Mcy409
Peat264
Msi520
Msi_tri309
Msi232
II510
II630
RA14-598
B2rel260
B2-400
B2all343
pmoAMO3-400
xb6-539
LP21-232
NmNc533
Nsm_eut381
Pl6-306
PS5-226
NsNv207
NsNv363
Nit_rel223
Nit_rel351
Nit_rel470
Nit_rel304
M84P105-451
WC306_54-385
M84P22-514
gp23-454
MR1-348
gp391
gp2-581
RA21-466
mtrof173
mtrof362-I
mtrof661
L21
2224
2018
2020
2025
1823
2023
2021
2025
1719
2019
2022
2019
2317
1918
1716
2025
1923
1917
2024
2626
2317
2020
2020
1920
2017
1820
1823
1818
1919
Tm
5958
6160
5856
5959
6158
6260
5860
5960
5862
6262
5862
6161
6160
6261
6160
6058
6061
6261
6362
5959
6160
5960
5759
5862
5859
6162
6161
6062
5860
62
Min
val
130
26
389
353
14
16
50
NA
77
NA
31
NA
152
41
22
NA
41
175
312
10
47
50
256
194
20
75
32
46
54
11
10
513
22
64
78
NA
192
87
189
91
373
112
12
335
49
103
29
88
111
17
116
NA
NA
22
34
58
100
84
NA
Max
val
180
26
389
353
72
16
80
NA
108
NA
31
NA
166
41
50
NA
41
175
312
10
47
158
371
194
38
75
34
46
167
39
29
513
22
64
89
NA
192
278
189
91
373
112
15
335
49
166
29
88
111
17
116
NA
NA
22
34
58
100
270
NA
Met
hyl
om
on
as c
lon
e M
90-P
12+
33
1M
eth
ylo
mo
nas
clo
ne
mv1
9pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv2
1pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv9
pa
+2
++
1M
eth
ylo
mo
nas
met
han
ica
clo
ne
D1
+2
++
2++
clo
ne
PS
-80
2+
33
Met
hyl
ob
acte
r cl
on
e S
L-5
102
2+
++
32
33
+3
Met
hyl
ob
acte
r cl
on
e m
v6p
b2
+3
1+
2+ +
Met
hyl
ob
acte
r cl
on
e m
v16p
a+
3+
3M
eth
ylo
bac
ter
clo
ne
5hm
-81
+3
32
+3
Un
iden
tifi
ed s
trai
n L
K5
1+
Met
hyl
ob
acte
rcl
on
e 5h
m-2
21
22
+3
1+
3M
eth
ylo
bac
ter
clo
ne
RB
-16
12
+3
2+
1M
eth
ylo
bac
ter
clo
ne
SL
-41
+3
3+
2+
Met
hyl
ob
acte
r c
lon
e 5h
m-2
31
32
+2
+M
eth
ylo
bac
ter
clo
ne
RB
-100
1+
33
2+
2+
Met
hyl
ob
acte
r c
lon
e L
OP
B 1
35
33
1+
31
+3
+L
P 2
0 g
rou
p c
lon
e M
90-P
503
++
1+
LP
20
gro
up
clo
ne
M90
-P24
3+
+1
+M
eth
ylo
mic
rob
ium
alb
um
BG
83
++
+2
+ ++
Met
hyl
osa
rcin
a fi
bri
ata
AM
L-C
10+
23
2+
+2
+
++2
+M
eth
ylo
ther
mu
sst
rain
HB
2+
1+
Met
hyl
oco
ccu
s ca
psu
latu
s (
Bat
h)
33
+2
++
Met
hyl
oco
ccu
s ca
psu
latu
s B
L4
33
12
++
++
501
gro
up
clo
ne
FW
-18
+1
+1
+ F
W-1
gro
up
clo
ne
pA
MC
512
33
+2
++
2M
eth
ylo
cald
um
rel
ated
clo
ne
M84
-P11
32
++
13
3+
+M
eth
ylo
cald
um
rela
ted
clo
ne
M90
-P75
33
2+
+1
33
++
Met
hyl
oca
ldu
m t
epid
um
LK
6+
+1
++
1M
eth
ylo
cyst
is c
lon
e S
L-5
70
+1
1A
B+
2M
eth
ylo
cyst
is c
lon
e L
OP
A 1
35
22
31
AB
1+
+M
eth
ylo
cyst
is c
lon
e F
12
+1
1A
B1
+1
Met
hyl
ocy
stis
str
ain
M2
+1
1A
B1
3+
+M
eth
ylo
cyst
is p
arvu
s O
BB
P2
+1
1A
B2
3gt7
+1
Pea
t cl
on
e P
129
E+
31
AB
+2
Met
hyl
osi
nu
scl
on
e rb
p46
3+
+A
B3
1M
eth
ylo
sin
us
tric
ho
spo
riu
m O
b3b
3+
+A
B3
+1
Met
hyl
osi
nu
s c
lon
e L
OP
B 1
33
33
3+
AB
13
+1
Met
hyl
osi
nu
s sp
ori
um
SE
23
++
AB
1+
+U
nid
enti
fied
str
ain
Y3
+A
B1
++
RA
14 g
rou
p c
lon
e R
A14
1+
+2
Met
hyl
oca
psa
rel
ated
clo
ne
JY-6
48
32
11
+3
Met
hyl
oca
psa
rel
ated
clo
ne
LO
PB
13
43
21
++
2M
eth
ylo
cap
sa a
cid
op
hila
B2
B1
++
gt7+
2L
P21
gro
up
clo
ne
P13
63
23
++
+1
LP
21 g
rou
p c
lon
e m
v12p
a+
1L
P21
gro
up
clo
ne
LO
PA
12
8B
3B
32
+2
++
1N
itro
som
on
as c
lon
e g
p1a
+1
1+
Nit
roso
mo
nas
eu
tro
ph
a1
+2
2+
Nit
roso
mo
nas
rela
ted
clo
ne
pl6
3+
21
2+
Nit
roso
mo
nas
rel
ated
clo
ne
PS
-5+
12
+N
itro
sosp
ira
clo
ne
LO
PA
12
32
++
AO
B r
elat
ed c
lon
e P
124
++
+A
OB
rel
ated
clo
ne
LO
PA
12
4+
1+
AO
B r
elat
ed c
lon
e g
p22
3+
+cl
on
e M
84-P
105
3+
clo
ne
WC
306-
54+
++
+ +cl
on
e M
84-P
222
1cl
on
e R
A21
3
+
+
+
+
01
1
+
+
+ +
+
574 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
pmoA from Methylomicrobium album strains The pres-ence of the Methylomicrobium album related strains wasnot detected by the microarray (relevant specific probeMmb303) This is due to the current detection limit whichis about 5 of cells in relation to the total bacterial com-munity analysed (ie containing pmoAamoA genes)There is also a statistical uncertainty in the percentagevalues derived from the analysis of only 91 clonesMicroarray and clone library results are shown on Fig 3
The second experiment was done using a sample froma soil microcosm incubated with CH4 as described byRadajewski et al (2002) Microarray experiments indi-cated the presence of methanotrophs belonging to twoclades The first clade the lsquopeat clonesrsquo group belongs toType II methanotrophs and is only known from acidic(peat) environments so far There are no cultured repre-sentatives of this group yet The second clade the LP21group is related to the Methylocapsa and to the RA14groups This clade consists of environmental clones ofvarious origins and of the lsquounusualrsquo second pmoA copiesfound in some Type II methanotrophs (Dunfield et al2002) This environmental sample has already beenanalysed by clone library construction and sequencing(Radajewski et al 2002) Fifty pmoAamoA clones wereanalysed (Fig 4) Eighteen per cent of the clonesbelonged to the peat clones group and 70 to the LP21group confirming the microarray results detecting thesetwo groups as the dominant ones Four per cent of theclones analysed belonged to the NitrosomonasNitroso-coccus group and 8 to the gp2 group The latter twogroups were not detected by the microarray analysis (rel-evant probes were NmNc534 for the NitrosomonasNitrosococcus group and gp391 and gp2ndash581 for the gp2group) The abundance of these groups was very near tothe detection level Furthermore the clone library and themicroarray analyses were done from different PCR reac-tions carried out from the same environmental DNAstock but in different laboratories Thus different PCRbiases may account for the discrepancy between themicroarray and clone library analysis results for these lowabundance sequences
Quantification of methanotrophs and related bacteriabased on pmoAamoA sequences is potentially biased bythe different number of pmoAamoA gene copies per cellThis has to be taken into account when interpreting suchresults
Quantification potential
Quantification potential of the developed microarray wastested with artificial mixtures of pmoA sequences Thisway it was possible to avoid the introduction of biasesinherent in DNA purification from environmental samplesand PCR with degenerate primers (Reysenbach et al
1992 Witzingerode et al 1997 Polz and Cavanaugh1998 Ishii and Fukui 2001) and the results show thepotential of the array to reflect the composition of the PCRmixture (rather than that of the original environmentalDNA or the original microbial community) By employinga reference mixture of known composition it was possibleto normalize variations in spot morphology and local dif-ferences in hybridization efficiency as well as for the sig-nificant variation in hybridization capacities betweendifferent probes
Our results shown in Fig 5 showed very good corre-lation between the true composition of the artificial mix-tures and the results of quantitative analysis of thehybridization results Standard deviation from expectedratios were in the range of 04ndash172 These results showthe potential of the microarray approach to reflect theratios within the PCR product (used as template for targetpreparation) As the first steps of the procedure includeenvironmental DNA purification and PCR with universalprimers the microarray approach is also prone to the biasinherent in these techniques
Quantification potential was further tested with the land-fill site and microcosm environmental samples (Fig 6)Results from the first analyses (hybridization with Cy3-labelled target prepared from environmental DNA) wereused to gain a rough estimate of the relative abundanceof methanotrophs in these samples Based on theseresults a mixture of reference sequences covering theobserved diversity was designed and labelled with Cy5Competitive (lsquotwo-colourrsquo) hybridization with the Cy3-labelled environmental and the Cy5-labelled reference tar-get was used to refine quantitative assessment of meth-anotroph community composition
In this quantification scheme a one-colour hybridizationis carried out first giving a rough estimation of the com-munity structure by referring back the relative intensitieson the array to the results from the reference straincloneset This information can also be used to select a subsetof reference strainsclones to be used in the next stagewhere the same target is then hybridized against theselected reference set and quantitative data are drawnfrom the ratios of the two signals The basic requirementof such a two-colour quantification approach is the abilityto identify and create an appropriate reference set Thisshould consist of sequences as similar to those in thesample as possible Failure to do so will result in skewedpredicted ratios Even though this limits the applicationpotential of this approach it can be very useful in studieswhere the same community is analysed over time or underdifferent conditions
By comparing the results of the two-colour microarrayhybridizations to the composition of the correspondingclone libraries (landfill site 14ndash30 predicted for Methy-localdum and 21ndash28 for Methylocystis versus 65 and
Diagnostic microarray for methanotrophs 575
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 3 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the landfill site sample The number of clones (out of 91 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the landfill site sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15Methylomonas methanica
Methylobacter sp LW 12Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
Nitrosococcus oceanus
31
66
Methylomicrobium album
Methylobacter sp LW 1M2 78 (2 clones)
M2 105 (1 clone)
47
88
Methylobacter sp LW14
88
55
Methylothermus sp HB
Methylocaldum tepidum
M2 11 (30 clones)M2 9 (6 clones)
M2 80 (1 clone)M2 19 (2 clones)
80
66
80
M2 32 (2 clones)Methylocaldum gracile
M2 37 (1 clone)
88
66
M2 4 (9 clones)Methylocaldum szegediense
M2 69 (1 clone)
80
M2 66 (1 clone)
99
56
M2 10 (2 clones)M2 83 (1 clone)
88
M2 26 (3 clones)
66
Clone M90-P4
99
Clone FW-1
54
Methylococcus capsulatus
CloneFW-18
78
43
36
46
Type II methanotroph AML-A6
M2 5 (2 clones)M2 12 (23 clones)
88
Type II methanotroph AML-A3
80
Methylocystis sp LW 5
39
Methylocystis sp M
M2 35 (3 clones)M2 53 (1 clone)M2 29 (1clone)
80
Methylocystis echinoides strain 491
88
99
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
69
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium strain SE 2
41
92
94
Methylocapsa acidophila strain B2
Clone RA 14
96
89
86
Nitrosococcus mobilis
Nitrosomonas eutropha
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone RA 21
77
010
Mb478
Mb478
Mcl408Ib453
Ib559
Mcy262
Mcy409
Msi 232II510II630
Mtrof661
Mtrof173
Mmb303
A
B
576 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 4 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the microcosm sample The number of clones (out of 50 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the microcosm sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15
Methylomonas methanica
Methylobacter sp LW 12
Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
31
Methylomicrobium album
Methylobacter sp LW 1
Methylobacter sp LW 14
47
55
Methylothermus sp HB
Methylococcus capsulatus
Clone FW-18
Methylocaldum szegediense
Clone M90-P4
Clone FW-1
54
43
78
36
46
Type II methanotroph AML-A6
Type II methanotroph AML-A3
Methylocystis sp LW 5
39
Methylocystis echinoides 491
Methylocystis sp M
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
Clone P129 (8 clones)
69
29
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium SE 2
41
92
94
Methylocapsa acidophila B2
Clone RA 14
96
Clone P128 (35 clones)Clone P1212 (1 clone)
Clone ferm_xb6
54
Clone LP 21
66
86
61
89
88
Nitrosomonas europaea
Nitrosococcus mobilis
Clone P1211 (2 clones)
11
Nitrosomonas eutropha
43
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone gp5
77
Clone gp2
Clone P1210 (4 clones)
98
90
Clone RA 21
010
Xb6-539
Peat264
Msi 232II510II630
Mtrof661
Mtrof173
LP21-232
NmNc533NsNv207NsNv363
Gp2-581 Gp391
A
B
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
Anthony RM Brown TJ and French GL (2000) Rapiddiagnosis of bacteremia by universal amplification of 23Sribosomal DNA followed by hybridization to an oligonucle-otide array J Clin Microbiol 38 781ndash788
Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
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copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
572 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Evaluation of the microarray with environmental samples
To assess the applicability of the developed methanotrophmicroarray in environmental studies two different environ-mental samples were analysed
The first experiment was carried out with a soil samplefrom a landfill site collected at the end of the summerMicroarray results indicated that strains related to thegenera of Methylocaldum and Methylocystis were mostabundant in this sample In addition to Methylocaldum andMethylocystis pmoA specific probes general pmoAprobes for the B subgroup of Type I methanotrophs andfor the Type II methanotrophs also showed positive hybrid-ization Two further probes Mb478 and Msi232 were pos-itive Mb478 was known from the validation set to
hybridize strongly to pmoA of Methylocaldum tepidumthus this signal was accounted for as arising from Methy-localdum-related bacteria Msi232 is a probe with a singlemismatch towards pmoA from most Methylocystis strainsDuring validation experiments it was shown to displaystrong hybridization signal with pmoA from one clade ofMethylocystis Thus (weak) positive results with Msi232were accounted for as arising from Methylocystis relatedbacteria To confirm these results a pmoA clone librarywas constructed Out of 100 clones sequenced 91 con-tained inserts with high homology to pmoA sequencesSixty-five per cent of these clones were related to pmoAfrom Methylocaldum and 31 to pmoA from Methylocys-tis confirming the results of the microarray analysis Afurther 3 of the clones showed highest similarity to
Fig 1 A Schematic diagram of the microarray design Arrays were spotted in triplicate Frames indicate universal (lsquomtrofrsquo) probes spotted in multiple copies and spots with an external positive control probe (lsquohyaBprsquo results of this were not considered or used in the present study)B Detailed design of a single array with exact positions for each probeC Representative hybridizations with reference strains or environmental clones Probe hyaBp targets an independent gene (hyaB of E coli) It can be applied as an alternative control spot for normalization after spiking of the in vitro transcription reaction with hyaB PCR product Note that results of probe hyaBp were not considered throughout the work presented here Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Diagnostic microarray for methanotrophs 573
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig
2
Ran
ge o
f st
rain
cov
erag
e fo
r ol
igon
ucle
otid
e pr
obes
tar
getin
g pm
oAa
moA
gen
es o
f m
etha
notr
ophs
A
OB
s an
d ba
cter
ia c
arry
ing
pmoA
am
oA h
omol
ogue
s A
sim
ilar
tabl
e w
ith a
ll 51
4 se
quen
ces
cons
ider
ed (
with
out
hybr
idiz
atio
n re
sults
) is
ava
ilabl
e fr
om t
he a
utho
rs u
pon
requ
est
Und
er lsquoP
robe
srsquo b
lack
fill
indi
cate
s ex
pect
ed p
ositi
ve r
esul
ts
grey
fill
indi
cate
s po
sitiv
e re
sults
not
pr
edic
ted
and
thic
k bl
ack
fram
ing
indi
cate
s ne
gativ
e re
sults
whe
re h
ybrid
izat
ion
was
pre
dict
ed W
hite
num
bers
insi
de b
lack
and
gre
y bo
xes
indi
cate
the
num
ber
of lsquom
ism
atch
equ
ival
ents
rsquo as
desc
ribed
in t
he r
elev
ant
sect
ion
of R
esul
ts L
ette
rs in
gre
y bo
xes
indi
cate
pro
bes
of u
nrel
iabl
e hy
brid
izat
ion
beha
viou
r lsquoA
cent a
shor
t pr
obe
with
sig
nific
ant
seco
ndar
y st
ruct
ure
lsquoBcent a
sho
rt p
robe
N
ames
of
envi
ronm
enta
l clo
nes
are
prec
eded
by
an in
dica
tion
of t
heir
pred
icte
d im
med
iate
phy
loge
netic
rel
atio
nshi
p H
ighe
st a
nd lo
wes
t si
gnal
val
ues
( o
f th
at o
f m
trof
173
) ob
tain
ed w
ith f
ull
mat
ch ta
rget
s ar
e in
dica
ted
(lsquomax
val
rsquo an
d lsquom
inv
alrsquo)
Gre
y bo
xes
indi
cate
dat
a w
hich
are
not
rep
rese
ntat
ive
(Jpn
284
Est
514
Nc_
oce4
26 g
p23ndash
454
and
MR
1-34
8 n
o fu
ll m
atch
ref
eren
ce ta
rget
av
aila
ble
II5
10 a
nd I
I630
sho
rt p
robe
s of
unr
elia
ble
hybr
idiz
atio
n be
havi
our
B2r
el26
0 an
d N
sNV
207
dat
a fr
om s
ingl
e m
ism
atch
tar
gets
mtr
of 1
73 r
efer
ence
pro
be m
trof
661
tar
getin
g th
e re
vers
e pr
imer
app
lied
in m
ost
ampl
ifica
tions
) A
pm
oAa
moA
DN
A n
eigh
bour
tre
e is
add
ed t
o th
e le
ft pr
ovid
ing
furt
her
insi
ght
into
the
phy
loge
netic
rel
atio
nshi
ps o
f th
e re
fere
nce
set
The
sca
le
bar
indi
cate
s th
e es
timat
ed n
umbe
r of
bas
e ch
ange
s pe
r nu
cleo
tide
sequ
ence
pos
ition
Str
ain
C
lon
eP
r o
b e
s
Mm275
PS80-291
Mb460
Mb478
Mb271
511-436
Mb292
peat1-3-287
Mb_SL-299
Jpn284
Mm_pel467
Est514
LP20-644
Mmb303
Ia577
Nc_oce426
Mth413
Mc396
fw1-639
M90-201
Mcl408
Ib453
Ib559
Mcy262
Mcy409
Peat264
Msi520
Msi_tri309
Msi232
II510
II630
RA14-598
B2rel260
B2-400
B2all343
pmoAMO3-400
xb6-539
LP21-232
NmNc533
Nsm_eut381
Pl6-306
PS5-226
NsNv207
NsNv363
Nit_rel223
Nit_rel351
Nit_rel470
Nit_rel304
M84P105-451
WC306_54-385
M84P22-514
gp23-454
MR1-348
gp391
gp2-581
RA21-466
mtrof173
mtrof362-I
mtrof661
L21
2224
2018
2020
2025
1823
2023
2021
2025
1719
2019
2022
2019
2317
1918
1716
2025
1923
1917
2024
2626
2317
2020
2020
1920
2017
1820
1823
1818
1919
Tm
5958
6160
5856
5959
6158
6260
5860
5960
5862
6262
5862
6161
6160
6261
6160
6058
6061
6261
6362
5959
6160
5960
5759
5862
5859
6162
6161
6062
5860
62
Min
val
130
26
389
353
14
16
50
NA
77
NA
31
NA
152
41
22
NA
41
175
312
10
47
50
256
194
20
75
32
46
54
11
10
513
22
64
78
NA
192
87
189
91
373
112
12
335
49
103
29
88
111
17
116
NA
NA
22
34
58
100
84
NA
Max
val
180
26
389
353
72
16
80
NA
108
NA
31
NA
166
41
50
NA
41
175
312
10
47
158
371
194
38
75
34
46
167
39
29
513
22
64
89
NA
192
278
189
91
373
112
15
335
49
166
29
88
111
17
116
NA
NA
22
34
58
100
270
NA
Met
hyl
om
on
as c
lon
e M
90-P
12+
33
1M
eth
ylo
mo
nas
clo
ne
mv1
9pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv2
1pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv9
pa
+2
++
1M
eth
ylo
mo
nas
met
han
ica
clo
ne
D1
+2
++
2++
clo
ne
PS
-80
2+
33
Met
hyl
ob
acte
r cl
on
e S
L-5
102
2+
++
32
33
+3
Met
hyl
ob
acte
r cl
on
e m
v6p
b2
+3
1+
2+ +
Met
hyl
ob
acte
r cl
on
e m
v16p
a+
3+
3M
eth
ylo
bac
ter
clo
ne
5hm
-81
+3
32
+3
Un
iden
tifi
ed s
trai
n L
K5
1+
Met
hyl
ob
acte
rcl
on
e 5h
m-2
21
22
+3
1+
3M
eth
ylo
bac
ter
clo
ne
RB
-16
12
+3
2+
1M
eth
ylo
bac
ter
clo
ne
SL
-41
+3
3+
2+
Met
hyl
ob
acte
r c
lon
e 5h
m-2
31
32
+2
+M
eth
ylo
bac
ter
clo
ne
RB
-100
1+
33
2+
2+
Met
hyl
ob
acte
r c
lon
e L
OP
B 1
35
33
1+
31
+3
+L
P 2
0 g
rou
p c
lon
e M
90-P
503
++
1+
LP
20
gro
up
clo
ne
M90
-P24
3+
+1
+M
eth
ylo
mic
rob
ium
alb
um
BG
83
++
+2
+ ++
Met
hyl
osa
rcin
a fi
bri
ata
AM
L-C
10+
23
2+
+2
+
++2
+M
eth
ylo
ther
mu
sst
rain
HB
2+
1+
Met
hyl
oco
ccu
s ca
psu
latu
s (
Bat
h)
33
+2
++
Met
hyl
oco
ccu
s ca
psu
latu
s B
L4
33
12
++
++
501
gro
up
clo
ne
FW
-18
+1
+1
+ F
W-1
gro
up
clo
ne
pA
MC
512
33
+2
++
2M
eth
ylo
cald
um
rel
ated
clo
ne
M84
-P11
32
++
13
3+
+M
eth
ylo
cald
um
rela
ted
clo
ne
M90
-P75
33
2+
+1
33
++
Met
hyl
oca
ldu
m t
epid
um
LK
6+
+1
++
1M
eth
ylo
cyst
is c
lon
e S
L-5
70
+1
1A
B+
2M
eth
ylo
cyst
is c
lon
e L
OP
A 1
35
22
31
AB
1+
+M
eth
ylo
cyst
is c
lon
e F
12
+1
1A
B1
+1
Met
hyl
ocy
stis
str
ain
M2
+1
1A
B1
3+
+M
eth
ylo
cyst
is p
arvu
s O
BB
P2
+1
1A
B2
3gt7
+1
Pea
t cl
on
e P
129
E+
31
AB
+2
Met
hyl
osi
nu
scl
on
e rb
p46
3+
+A
B3
1M
eth
ylo
sin
us
tric
ho
spo
riu
m O
b3b
3+
+A
B3
+1
Met
hyl
osi
nu
s c
lon
e L
OP
B 1
33
33
3+
AB
13
+1
Met
hyl
osi
nu
s sp
ori
um
SE
23
++
AB
1+
+U
nid
enti
fied
str
ain
Y3
+A
B1
++
RA
14 g
rou
p c
lon
e R
A14
1+
+2
Met
hyl
oca
psa
rel
ated
clo
ne
JY-6
48
32
11
+3
Met
hyl
oca
psa
rel
ated
clo
ne
LO
PB
13
43
21
++
2M
eth
ylo
cap
sa a
cid
op
hila
B2
B1
++
gt7+
2L
P21
gro
up
clo
ne
P13
63
23
++
+1
LP
21 g
rou
p c
lon
e m
v12p
a+
1L
P21
gro
up
clo
ne
LO
PA
12
8B
3B
32
+2
++
1N
itro
som
on
as c
lon
e g
p1a
+1
1+
Nit
roso
mo
nas
eu
tro
ph
a1
+2
2+
Nit
roso
mo
nas
rela
ted
clo
ne
pl6
3+
21
2+
Nit
roso
mo
nas
rel
ated
clo
ne
PS
-5+
12
+N
itro
sosp
ira
clo
ne
LO
PA
12
32
++
AO
B r
elat
ed c
lon
e P
124
++
+A
OB
rel
ated
clo
ne
LO
PA
12
4+
1+
AO
B r
elat
ed c
lon
e g
p22
3+
+cl
on
e M
84-P
105
3+
clo
ne
WC
306-
54+
++
+ +cl
on
e M
84-P
222
1cl
on
e R
A21
3
+
+
+
+
01
1
+
+
+ +
+
574 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
pmoA from Methylomicrobium album strains The pres-ence of the Methylomicrobium album related strains wasnot detected by the microarray (relevant specific probeMmb303) This is due to the current detection limit whichis about 5 of cells in relation to the total bacterial com-munity analysed (ie containing pmoAamoA genes)There is also a statistical uncertainty in the percentagevalues derived from the analysis of only 91 clonesMicroarray and clone library results are shown on Fig 3
The second experiment was done using a sample froma soil microcosm incubated with CH4 as described byRadajewski et al (2002) Microarray experiments indi-cated the presence of methanotrophs belonging to twoclades The first clade the lsquopeat clonesrsquo group belongs toType II methanotrophs and is only known from acidic(peat) environments so far There are no cultured repre-sentatives of this group yet The second clade the LP21group is related to the Methylocapsa and to the RA14groups This clade consists of environmental clones ofvarious origins and of the lsquounusualrsquo second pmoA copiesfound in some Type II methanotrophs (Dunfield et al2002) This environmental sample has already beenanalysed by clone library construction and sequencing(Radajewski et al 2002) Fifty pmoAamoA clones wereanalysed (Fig 4) Eighteen per cent of the clonesbelonged to the peat clones group and 70 to the LP21group confirming the microarray results detecting thesetwo groups as the dominant ones Four per cent of theclones analysed belonged to the NitrosomonasNitroso-coccus group and 8 to the gp2 group The latter twogroups were not detected by the microarray analysis (rel-evant probes were NmNc534 for the NitrosomonasNitrosococcus group and gp391 and gp2ndash581 for the gp2group) The abundance of these groups was very near tothe detection level Furthermore the clone library and themicroarray analyses were done from different PCR reac-tions carried out from the same environmental DNAstock but in different laboratories Thus different PCRbiases may account for the discrepancy between themicroarray and clone library analysis results for these lowabundance sequences
Quantification of methanotrophs and related bacteriabased on pmoAamoA sequences is potentially biased bythe different number of pmoAamoA gene copies per cellThis has to be taken into account when interpreting suchresults
Quantification potential
Quantification potential of the developed microarray wastested with artificial mixtures of pmoA sequences Thisway it was possible to avoid the introduction of biasesinherent in DNA purification from environmental samplesand PCR with degenerate primers (Reysenbach et al
1992 Witzingerode et al 1997 Polz and Cavanaugh1998 Ishii and Fukui 2001) and the results show thepotential of the array to reflect the composition of the PCRmixture (rather than that of the original environmentalDNA or the original microbial community) By employinga reference mixture of known composition it was possibleto normalize variations in spot morphology and local dif-ferences in hybridization efficiency as well as for the sig-nificant variation in hybridization capacities betweendifferent probes
Our results shown in Fig 5 showed very good corre-lation between the true composition of the artificial mix-tures and the results of quantitative analysis of thehybridization results Standard deviation from expectedratios were in the range of 04ndash172 These results showthe potential of the microarray approach to reflect theratios within the PCR product (used as template for targetpreparation) As the first steps of the procedure includeenvironmental DNA purification and PCR with universalprimers the microarray approach is also prone to the biasinherent in these techniques
Quantification potential was further tested with the land-fill site and microcosm environmental samples (Fig 6)Results from the first analyses (hybridization with Cy3-labelled target prepared from environmental DNA) wereused to gain a rough estimate of the relative abundanceof methanotrophs in these samples Based on theseresults a mixture of reference sequences covering theobserved diversity was designed and labelled with Cy5Competitive (lsquotwo-colourrsquo) hybridization with the Cy3-labelled environmental and the Cy5-labelled reference tar-get was used to refine quantitative assessment of meth-anotroph community composition
In this quantification scheme a one-colour hybridizationis carried out first giving a rough estimation of the com-munity structure by referring back the relative intensitieson the array to the results from the reference straincloneset This information can also be used to select a subsetof reference strainsclones to be used in the next stagewhere the same target is then hybridized against theselected reference set and quantitative data are drawnfrom the ratios of the two signals The basic requirementof such a two-colour quantification approach is the abilityto identify and create an appropriate reference set Thisshould consist of sequences as similar to those in thesample as possible Failure to do so will result in skewedpredicted ratios Even though this limits the applicationpotential of this approach it can be very useful in studieswhere the same community is analysed over time or underdifferent conditions
By comparing the results of the two-colour microarrayhybridizations to the composition of the correspondingclone libraries (landfill site 14ndash30 predicted for Methy-localdum and 21ndash28 for Methylocystis versus 65 and
Diagnostic microarray for methanotrophs 575
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 3 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the landfill site sample The number of clones (out of 91 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the landfill site sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15Methylomonas methanica
Methylobacter sp LW 12Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
Nitrosococcus oceanus
31
66
Methylomicrobium album
Methylobacter sp LW 1M2 78 (2 clones)
M2 105 (1 clone)
47
88
Methylobacter sp LW14
88
55
Methylothermus sp HB
Methylocaldum tepidum
M2 11 (30 clones)M2 9 (6 clones)
M2 80 (1 clone)M2 19 (2 clones)
80
66
80
M2 32 (2 clones)Methylocaldum gracile
M2 37 (1 clone)
88
66
M2 4 (9 clones)Methylocaldum szegediense
M2 69 (1 clone)
80
M2 66 (1 clone)
99
56
M2 10 (2 clones)M2 83 (1 clone)
88
M2 26 (3 clones)
66
Clone M90-P4
99
Clone FW-1
54
Methylococcus capsulatus
CloneFW-18
78
43
36
46
Type II methanotroph AML-A6
M2 5 (2 clones)M2 12 (23 clones)
88
Type II methanotroph AML-A3
80
Methylocystis sp LW 5
39
Methylocystis sp M
M2 35 (3 clones)M2 53 (1 clone)M2 29 (1clone)
80
Methylocystis echinoides strain 491
88
99
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
69
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium strain SE 2
41
92
94
Methylocapsa acidophila strain B2
Clone RA 14
96
89
86
Nitrosococcus mobilis
Nitrosomonas eutropha
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone RA 21
77
010
Mb478
Mb478
Mcl408Ib453
Ib559
Mcy262
Mcy409
Msi 232II510II630
Mtrof661
Mtrof173
Mmb303
A
B
576 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 4 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the microcosm sample The number of clones (out of 50 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the microcosm sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15
Methylomonas methanica
Methylobacter sp LW 12
Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
31
Methylomicrobium album
Methylobacter sp LW 1
Methylobacter sp LW 14
47
55
Methylothermus sp HB
Methylococcus capsulatus
Clone FW-18
Methylocaldum szegediense
Clone M90-P4
Clone FW-1
54
43
78
36
46
Type II methanotroph AML-A6
Type II methanotroph AML-A3
Methylocystis sp LW 5
39
Methylocystis echinoides 491
Methylocystis sp M
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
Clone P129 (8 clones)
69
29
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium SE 2
41
92
94
Methylocapsa acidophila B2
Clone RA 14
96
Clone P128 (35 clones)Clone P1212 (1 clone)
Clone ferm_xb6
54
Clone LP 21
66
86
61
89
88
Nitrosomonas europaea
Nitrosococcus mobilis
Clone P1211 (2 clones)
11
Nitrosomonas eutropha
43
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone gp5
77
Clone gp2
Clone P1210 (4 clones)
98
90
Clone RA 21
010
Xb6-539
Peat264
Msi 232II510II630
Mtrof661
Mtrof173
LP21-232
NmNc533NsNv207NsNv363
Gp2-581 Gp391
A
B
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
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Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
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copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
Diagnostic microarray for methanotrophs 573
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig
2
Ran
ge o
f st
rain
cov
erag
e fo
r ol
igon
ucle
otid
e pr
obes
tar
getin
g pm
oAa
moA
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es o
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etha
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ophs
A
OB
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cter
ia c
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ing
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oA h
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ogue
s A
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ilar
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e w
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ces
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ider
ed (
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out
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idiz
atio
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e fr
om t
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est
Und
er lsquoP
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edic
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ack
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ing
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izat
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ts L
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Nc_
oce4
26 g
p23ndash
454
and
MR
1-34
8 n
o fu
ll m
atch
ref
eren
ce ta
rget
av
aila
ble
II5
10 a
nd I
I630
sho
rt p
robe
s of
unr
elia
ble
hybr
idiz
atio
n be
havi
our
B2r
el26
0 an
d N
sNV
207
dat
a fr
om s
ingl
e m
ism
atch
tar
gets
mtr
of 1
73 r
efer
ence
pro
be m
trof
661
tar
getin
g th
e re
vers
e pr
imer
app
lied
in m
ost
ampl
ifica
tions
) A
pm
oAa
moA
DN
A n
eigh
bour
tre
e is
add
ed t
o th
e le
ft pr
ovid
ing
furt
her
insi
ght
into
the
phy
loge
netic
rel
atio
nshi
ps o
f th
e re
fere
nce
set
The
sca
le
bar
indi
cate
s th
e es
timat
ed n
umbe
r of
bas
e ch
ange
s pe
r nu
cleo
tide
sequ
ence
pos
ition
Str
ain
C
lon
eP
r o
b e
s
Mm275
PS80-291
Mb460
Mb478
Mb271
511-436
Mb292
peat1-3-287
Mb_SL-299
Jpn284
Mm_pel467
Est514
LP20-644
Mmb303
Ia577
Nc_oce426
Mth413
Mc396
fw1-639
M90-201
Mcl408
Ib453
Ib559
Mcy262
Mcy409
Peat264
Msi520
Msi_tri309
Msi232
II510
II630
RA14-598
B2rel260
B2-400
B2all343
pmoAMO3-400
xb6-539
LP21-232
NmNc533
Nsm_eut381
Pl6-306
PS5-226
NsNv207
NsNv363
Nit_rel223
Nit_rel351
Nit_rel470
Nit_rel304
M84P105-451
WC306_54-385
M84P22-514
gp23-454
MR1-348
gp391
gp2-581
RA21-466
mtrof173
mtrof362-I
mtrof661
L21
2224
2018
2020
2025
1823
2023
2021
2025
1719
2019
2022
2019
2317
1918
1716
2025
1923
1917
2024
2626
2317
2020
2020
1920
2017
1820
1823
1818
1919
Tm
5958
6160
5856
5959
6158
6260
5860
5960
5862
6262
5862
6161
6160
6261
6160
6058
6061
6261
6362
5959
6160
5960
5759
5862
5859
6162
6161
6062
5860
62
Min
val
130
26
389
353
14
16
50
NA
77
NA
31
NA
152
41
22
NA
41
175
312
10
47
50
256
194
20
75
32
46
54
11
10
513
22
64
78
NA
192
87
189
91
373
112
12
335
49
103
29
88
111
17
116
NA
NA
22
34
58
100
84
NA
Max
val
180
26
389
353
72
16
80
NA
108
NA
31
NA
166
41
50
NA
41
175
312
10
47
158
371
194
38
75
34
46
167
39
29
513
22
64
89
NA
192
278
189
91
373
112
15
335
49
166
29
88
111
17
116
NA
NA
22
34
58
100
270
NA
Met
hyl
om
on
as c
lon
e M
90-P
12+
33
1M
eth
ylo
mo
nas
clo
ne
mv1
9pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv2
1pa
+2
++
1M
eth
ylo
mo
nas
clo
ne
mv9
pa
+2
++
1M
eth
ylo
mo
nas
met
han
ica
clo
ne
D1
+2
++
2++
clo
ne
PS
-80
2+
33
Met
hyl
ob
acte
r cl
on
e S
L-5
102
2+
++
32
33
+3
Met
hyl
ob
acte
r cl
on
e m
v6p
b2
+3
1+
2+ +
Met
hyl
ob
acte
r cl
on
e m
v16p
a+
3+
3M
eth
ylo
bac
ter
clo
ne
5hm
-81
+3
32
+3
Un
iden
tifi
ed s
trai
n L
K5
1+
Met
hyl
ob
acte
rcl
on
e 5h
m-2
21
22
+3
1+
3M
eth
ylo
bac
ter
clo
ne
RB
-16
12
+3
2+
1M
eth
ylo
bac
ter
clo
ne
SL
-41
+3
3+
2+
Met
hyl
ob
acte
r c
lon
e 5h
m-2
31
32
+2
+M
eth
ylo
bac
ter
clo
ne
RB
-100
1+
33
2+
2+
Met
hyl
ob
acte
r c
lon
e L
OP
B 1
35
33
1+
31
+3
+L
P 2
0 g
rou
p c
lon
e M
90-P
503
++
1+
LP
20
gro
up
clo
ne
M90
-P24
3+
+1
+M
eth
ylo
mic
rob
ium
alb
um
BG
83
++
+2
+ ++
Met
hyl
osa
rcin
a fi
bri
ata
AM
L-C
10+
23
2+
+2
+
++2
+M
eth
ylo
ther
mu
sst
rain
HB
2+
1+
Met
hyl
oco
ccu
s ca
psu
latu
s (
Bat
h)
33
+2
++
Met
hyl
oco
ccu
s ca
psu
latu
s B
L4
33
12
++
++
501
gro
up
clo
ne
FW
-18
+1
+1
+ F
W-1
gro
up
clo
ne
pA
MC
512
33
+2
++
2M
eth
ylo
cald
um
rel
ated
clo
ne
M84
-P11
32
++
13
3+
+M
eth
ylo
cald
um
rela
ted
clo
ne
M90
-P75
33
2+
+1
33
++
Met
hyl
oca
ldu
m t
epid
um
LK
6+
+1
++
1M
eth
ylo
cyst
is c
lon
e S
L-5
70
+1
1A
B+
2M
eth
ylo
cyst
is c
lon
e L
OP
A 1
35
22
31
AB
1+
+M
eth
ylo
cyst
is c
lon
e F
12
+1
1A
B1
+1
Met
hyl
ocy
stis
str
ain
M2
+1
1A
B1
3+
+M
eth
ylo
cyst
is p
arvu
s O
BB
P2
+1
1A
B2
3gt7
+1
Pea
t cl
on
e P
129
E+
31
AB
+2
Met
hyl
osi
nu
scl
on
e rb
p46
3+
+A
B3
1M
eth
ylo
sin
us
tric
ho
spo
riu
m O
b3b
3+
+A
B3
+1
Met
hyl
osi
nu
s c
lon
e L
OP
B 1
33
33
3+
AB
13
+1
Met
hyl
osi
nu
s sp
ori
um
SE
23
++
AB
1+
+U
nid
enti
fied
str
ain
Y3
+A
B1
++
RA
14 g
rou
p c
lon
e R
A14
1+
+2
Met
hyl
oca
psa
rel
ated
clo
ne
JY-6
48
32
11
+3
Met
hyl
oca
psa
rel
ated
clo
ne
LO
PB
13
43
21
++
2M
eth
ylo
cap
sa a
cid
op
hila
B2
B1
++
gt7+
2L
P21
gro
up
clo
ne
P13
63
23
++
+1
LP
21 g
rou
p c
lon
e m
v12p
a+
1L
P21
gro
up
clo
ne
LO
PA
12
8B
3B
32
+2
++
1N
itro
som
on
as c
lon
e g
p1a
+1
1+
Nit
roso
mo
nas
eu
tro
ph
a1
+2
2+
Nit
roso
mo
nas
rela
ted
clo
ne
pl6
3+
21
2+
Nit
roso
mo
nas
rel
ated
clo
ne
PS
-5+
12
+N
itro
sosp
ira
clo
ne
LO
PA
12
32
++
AO
B r
elat
ed c
lon
e P
124
++
+A
OB
rel
ated
clo
ne
LO
PA
12
4+
1+
AO
B r
elat
ed c
lon
e g
p22
3+
+cl
on
e M
84-P
105
3+
clo
ne
WC
306-
54+
++
+ +cl
on
e M
84-P
222
1cl
on
e R
A21
3
+
+
+
+
01
1
+
+
+ +
+
574 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
pmoA from Methylomicrobium album strains The pres-ence of the Methylomicrobium album related strains wasnot detected by the microarray (relevant specific probeMmb303) This is due to the current detection limit whichis about 5 of cells in relation to the total bacterial com-munity analysed (ie containing pmoAamoA genes)There is also a statistical uncertainty in the percentagevalues derived from the analysis of only 91 clonesMicroarray and clone library results are shown on Fig 3
The second experiment was done using a sample froma soil microcosm incubated with CH4 as described byRadajewski et al (2002) Microarray experiments indi-cated the presence of methanotrophs belonging to twoclades The first clade the lsquopeat clonesrsquo group belongs toType II methanotrophs and is only known from acidic(peat) environments so far There are no cultured repre-sentatives of this group yet The second clade the LP21group is related to the Methylocapsa and to the RA14groups This clade consists of environmental clones ofvarious origins and of the lsquounusualrsquo second pmoA copiesfound in some Type II methanotrophs (Dunfield et al2002) This environmental sample has already beenanalysed by clone library construction and sequencing(Radajewski et al 2002) Fifty pmoAamoA clones wereanalysed (Fig 4) Eighteen per cent of the clonesbelonged to the peat clones group and 70 to the LP21group confirming the microarray results detecting thesetwo groups as the dominant ones Four per cent of theclones analysed belonged to the NitrosomonasNitroso-coccus group and 8 to the gp2 group The latter twogroups were not detected by the microarray analysis (rel-evant probes were NmNc534 for the NitrosomonasNitrosococcus group and gp391 and gp2ndash581 for the gp2group) The abundance of these groups was very near tothe detection level Furthermore the clone library and themicroarray analyses were done from different PCR reac-tions carried out from the same environmental DNAstock but in different laboratories Thus different PCRbiases may account for the discrepancy between themicroarray and clone library analysis results for these lowabundance sequences
Quantification of methanotrophs and related bacteriabased on pmoAamoA sequences is potentially biased bythe different number of pmoAamoA gene copies per cellThis has to be taken into account when interpreting suchresults
Quantification potential
Quantification potential of the developed microarray wastested with artificial mixtures of pmoA sequences Thisway it was possible to avoid the introduction of biasesinherent in DNA purification from environmental samplesand PCR with degenerate primers (Reysenbach et al
1992 Witzingerode et al 1997 Polz and Cavanaugh1998 Ishii and Fukui 2001) and the results show thepotential of the array to reflect the composition of the PCRmixture (rather than that of the original environmentalDNA or the original microbial community) By employinga reference mixture of known composition it was possibleto normalize variations in spot morphology and local dif-ferences in hybridization efficiency as well as for the sig-nificant variation in hybridization capacities betweendifferent probes
Our results shown in Fig 5 showed very good corre-lation between the true composition of the artificial mix-tures and the results of quantitative analysis of thehybridization results Standard deviation from expectedratios were in the range of 04ndash172 These results showthe potential of the microarray approach to reflect theratios within the PCR product (used as template for targetpreparation) As the first steps of the procedure includeenvironmental DNA purification and PCR with universalprimers the microarray approach is also prone to the biasinherent in these techniques
Quantification potential was further tested with the land-fill site and microcosm environmental samples (Fig 6)Results from the first analyses (hybridization with Cy3-labelled target prepared from environmental DNA) wereused to gain a rough estimate of the relative abundanceof methanotrophs in these samples Based on theseresults a mixture of reference sequences covering theobserved diversity was designed and labelled with Cy5Competitive (lsquotwo-colourrsquo) hybridization with the Cy3-labelled environmental and the Cy5-labelled reference tar-get was used to refine quantitative assessment of meth-anotroph community composition
In this quantification scheme a one-colour hybridizationis carried out first giving a rough estimation of the com-munity structure by referring back the relative intensitieson the array to the results from the reference straincloneset This information can also be used to select a subsetof reference strainsclones to be used in the next stagewhere the same target is then hybridized against theselected reference set and quantitative data are drawnfrom the ratios of the two signals The basic requirementof such a two-colour quantification approach is the abilityto identify and create an appropriate reference set Thisshould consist of sequences as similar to those in thesample as possible Failure to do so will result in skewedpredicted ratios Even though this limits the applicationpotential of this approach it can be very useful in studieswhere the same community is analysed over time or underdifferent conditions
By comparing the results of the two-colour microarrayhybridizations to the composition of the correspondingclone libraries (landfill site 14ndash30 predicted for Methy-localdum and 21ndash28 for Methylocystis versus 65 and
Diagnostic microarray for methanotrophs 575
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 3 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the landfill site sample The number of clones (out of 91 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the landfill site sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15Methylomonas methanica
Methylobacter sp LW 12Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
Nitrosococcus oceanus
31
66
Methylomicrobium album
Methylobacter sp LW 1M2 78 (2 clones)
M2 105 (1 clone)
47
88
Methylobacter sp LW14
88
55
Methylothermus sp HB
Methylocaldum tepidum
M2 11 (30 clones)M2 9 (6 clones)
M2 80 (1 clone)M2 19 (2 clones)
80
66
80
M2 32 (2 clones)Methylocaldum gracile
M2 37 (1 clone)
88
66
M2 4 (9 clones)Methylocaldum szegediense
M2 69 (1 clone)
80
M2 66 (1 clone)
99
56
M2 10 (2 clones)M2 83 (1 clone)
88
M2 26 (3 clones)
66
Clone M90-P4
99
Clone FW-1
54
Methylococcus capsulatus
CloneFW-18
78
43
36
46
Type II methanotroph AML-A6
M2 5 (2 clones)M2 12 (23 clones)
88
Type II methanotroph AML-A3
80
Methylocystis sp LW 5
39
Methylocystis sp M
M2 35 (3 clones)M2 53 (1 clone)M2 29 (1clone)
80
Methylocystis echinoides strain 491
88
99
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
69
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium strain SE 2
41
92
94
Methylocapsa acidophila strain B2
Clone RA 14
96
89
86
Nitrosococcus mobilis
Nitrosomonas eutropha
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone RA 21
77
010
Mb478
Mb478
Mcl408Ib453
Ib559
Mcy262
Mcy409
Msi 232II510II630
Mtrof661
Mtrof173
Mmb303
A
B
576 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 4 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the microcosm sample The number of clones (out of 50 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the microcosm sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15
Methylomonas methanica
Methylobacter sp LW 12
Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
31
Methylomicrobium album
Methylobacter sp LW 1
Methylobacter sp LW 14
47
55
Methylothermus sp HB
Methylococcus capsulatus
Clone FW-18
Methylocaldum szegediense
Clone M90-P4
Clone FW-1
54
43
78
36
46
Type II methanotroph AML-A6
Type II methanotroph AML-A3
Methylocystis sp LW 5
39
Methylocystis echinoides 491
Methylocystis sp M
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
Clone P129 (8 clones)
69
29
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium SE 2
41
92
94
Methylocapsa acidophila B2
Clone RA 14
96
Clone P128 (35 clones)Clone P1212 (1 clone)
Clone ferm_xb6
54
Clone LP 21
66
86
61
89
88
Nitrosomonas europaea
Nitrosococcus mobilis
Clone P1211 (2 clones)
11
Nitrosomonas eutropha
43
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone gp5
77
Clone gp2
Clone P1210 (4 clones)
98
90
Clone RA 21
010
Xb6-539
Peat264
Msi 232II510II630
Mtrof661
Mtrof173
LP21-232
NmNc533NsNv207NsNv363
Gp2-581 Gp391
A
B
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
Anthony RM Brown TJ and French GL (2000) Rapiddiagnosis of bacteremia by universal amplification of 23Sribosomal DNA followed by hybridization to an oligonucle-otide array J Clin Microbiol 38 781ndash788
Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
582 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
574 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
pmoA from Methylomicrobium album strains The pres-ence of the Methylomicrobium album related strains wasnot detected by the microarray (relevant specific probeMmb303) This is due to the current detection limit whichis about 5 of cells in relation to the total bacterial com-munity analysed (ie containing pmoAamoA genes)There is also a statistical uncertainty in the percentagevalues derived from the analysis of only 91 clonesMicroarray and clone library results are shown on Fig 3
The second experiment was done using a sample froma soil microcosm incubated with CH4 as described byRadajewski et al (2002) Microarray experiments indi-cated the presence of methanotrophs belonging to twoclades The first clade the lsquopeat clonesrsquo group belongs toType II methanotrophs and is only known from acidic(peat) environments so far There are no cultured repre-sentatives of this group yet The second clade the LP21group is related to the Methylocapsa and to the RA14groups This clade consists of environmental clones ofvarious origins and of the lsquounusualrsquo second pmoA copiesfound in some Type II methanotrophs (Dunfield et al2002) This environmental sample has already beenanalysed by clone library construction and sequencing(Radajewski et al 2002) Fifty pmoAamoA clones wereanalysed (Fig 4) Eighteen per cent of the clonesbelonged to the peat clones group and 70 to the LP21group confirming the microarray results detecting thesetwo groups as the dominant ones Four per cent of theclones analysed belonged to the NitrosomonasNitroso-coccus group and 8 to the gp2 group The latter twogroups were not detected by the microarray analysis (rel-evant probes were NmNc534 for the NitrosomonasNitrosococcus group and gp391 and gp2ndash581 for the gp2group) The abundance of these groups was very near tothe detection level Furthermore the clone library and themicroarray analyses were done from different PCR reac-tions carried out from the same environmental DNAstock but in different laboratories Thus different PCRbiases may account for the discrepancy between themicroarray and clone library analysis results for these lowabundance sequences
Quantification of methanotrophs and related bacteriabased on pmoAamoA sequences is potentially biased bythe different number of pmoAamoA gene copies per cellThis has to be taken into account when interpreting suchresults
Quantification potential
Quantification potential of the developed microarray wastested with artificial mixtures of pmoA sequences Thisway it was possible to avoid the introduction of biasesinherent in DNA purification from environmental samplesand PCR with degenerate primers (Reysenbach et al
1992 Witzingerode et al 1997 Polz and Cavanaugh1998 Ishii and Fukui 2001) and the results show thepotential of the array to reflect the composition of the PCRmixture (rather than that of the original environmentalDNA or the original microbial community) By employinga reference mixture of known composition it was possibleto normalize variations in spot morphology and local dif-ferences in hybridization efficiency as well as for the sig-nificant variation in hybridization capacities betweendifferent probes
Our results shown in Fig 5 showed very good corre-lation between the true composition of the artificial mix-tures and the results of quantitative analysis of thehybridization results Standard deviation from expectedratios were in the range of 04ndash172 These results showthe potential of the microarray approach to reflect theratios within the PCR product (used as template for targetpreparation) As the first steps of the procedure includeenvironmental DNA purification and PCR with universalprimers the microarray approach is also prone to the biasinherent in these techniques
Quantification potential was further tested with the land-fill site and microcosm environmental samples (Fig 6)Results from the first analyses (hybridization with Cy3-labelled target prepared from environmental DNA) wereused to gain a rough estimate of the relative abundanceof methanotrophs in these samples Based on theseresults a mixture of reference sequences covering theobserved diversity was designed and labelled with Cy5Competitive (lsquotwo-colourrsquo) hybridization with the Cy3-labelled environmental and the Cy5-labelled reference tar-get was used to refine quantitative assessment of meth-anotroph community composition
In this quantification scheme a one-colour hybridizationis carried out first giving a rough estimation of the com-munity structure by referring back the relative intensitieson the array to the results from the reference straincloneset This information can also be used to select a subsetof reference strainsclones to be used in the next stagewhere the same target is then hybridized against theselected reference set and quantitative data are drawnfrom the ratios of the two signals The basic requirementof such a two-colour quantification approach is the abilityto identify and create an appropriate reference set Thisshould consist of sequences as similar to those in thesample as possible Failure to do so will result in skewedpredicted ratios Even though this limits the applicationpotential of this approach it can be very useful in studieswhere the same community is analysed over time or underdifferent conditions
By comparing the results of the two-colour microarrayhybridizations to the composition of the correspondingclone libraries (landfill site 14ndash30 predicted for Methy-localdum and 21ndash28 for Methylocystis versus 65 and
Diagnostic microarray for methanotrophs 575
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 3 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the landfill site sample The number of clones (out of 91 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the landfill site sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15Methylomonas methanica
Methylobacter sp LW 12Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
Nitrosococcus oceanus
31
66
Methylomicrobium album
Methylobacter sp LW 1M2 78 (2 clones)
M2 105 (1 clone)
47
88
Methylobacter sp LW14
88
55
Methylothermus sp HB
Methylocaldum tepidum
M2 11 (30 clones)M2 9 (6 clones)
M2 80 (1 clone)M2 19 (2 clones)
80
66
80
M2 32 (2 clones)Methylocaldum gracile
M2 37 (1 clone)
88
66
M2 4 (9 clones)Methylocaldum szegediense
M2 69 (1 clone)
80
M2 66 (1 clone)
99
56
M2 10 (2 clones)M2 83 (1 clone)
88
M2 26 (3 clones)
66
Clone M90-P4
99
Clone FW-1
54
Methylococcus capsulatus
CloneFW-18
78
43
36
46
Type II methanotroph AML-A6
M2 5 (2 clones)M2 12 (23 clones)
88
Type II methanotroph AML-A3
80
Methylocystis sp LW 5
39
Methylocystis sp M
M2 35 (3 clones)M2 53 (1 clone)M2 29 (1clone)
80
Methylocystis echinoides strain 491
88
99
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
69
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium strain SE 2
41
92
94
Methylocapsa acidophila strain B2
Clone RA 14
96
89
86
Nitrosococcus mobilis
Nitrosomonas eutropha
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone RA 21
77
010
Mb478
Mb478
Mcl408Ib453
Ib559
Mcy262
Mcy409
Msi 232II510II630
Mtrof661
Mtrof173
Mmb303
A
B
576 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 4 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the microcosm sample The number of clones (out of 50 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the microcosm sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15
Methylomonas methanica
Methylobacter sp LW 12
Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
31
Methylomicrobium album
Methylobacter sp LW 1
Methylobacter sp LW 14
47
55
Methylothermus sp HB
Methylococcus capsulatus
Clone FW-18
Methylocaldum szegediense
Clone M90-P4
Clone FW-1
54
43
78
36
46
Type II methanotroph AML-A6
Type II methanotroph AML-A3
Methylocystis sp LW 5
39
Methylocystis echinoides 491
Methylocystis sp M
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
Clone P129 (8 clones)
69
29
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium SE 2
41
92
94
Methylocapsa acidophila B2
Clone RA 14
96
Clone P128 (35 clones)Clone P1212 (1 clone)
Clone ferm_xb6
54
Clone LP 21
66
86
61
89
88
Nitrosomonas europaea
Nitrosococcus mobilis
Clone P1211 (2 clones)
11
Nitrosomonas eutropha
43
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone gp5
77
Clone gp2
Clone P1210 (4 clones)
98
90
Clone RA 21
010
Xb6-539
Peat264
Msi 232II510II630
Mtrof661
Mtrof173
LP21-232
NmNc533NsNv207NsNv363
Gp2-581 Gp391
A
B
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
Anthony RM Brown TJ and French GL (2000) Rapiddiagnosis of bacteremia by universal amplification of 23Sribosomal DNA followed by hybridization to an oligonucle-otide array J Clin Microbiol 38 781ndash788
Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
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copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
Diagnostic microarray for methanotrophs 575
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 3 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the landfill site sample The number of clones (out of 91 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the landfill site sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15Methylomonas methanica
Methylobacter sp LW 12Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
Nitrosococcus oceanus
31
66
Methylomicrobium album
Methylobacter sp LW 1M2 78 (2 clones)
M2 105 (1 clone)
47
88
Methylobacter sp LW14
88
55
Methylothermus sp HB
Methylocaldum tepidum
M2 11 (30 clones)M2 9 (6 clones)
M2 80 (1 clone)M2 19 (2 clones)
80
66
80
M2 32 (2 clones)Methylocaldum gracile
M2 37 (1 clone)
88
66
M2 4 (9 clones)Methylocaldum szegediense
M2 69 (1 clone)
80
M2 66 (1 clone)
99
56
M2 10 (2 clones)M2 83 (1 clone)
88
M2 26 (3 clones)
66
Clone M90-P4
99
Clone FW-1
54
Methylococcus capsulatus
CloneFW-18
78
43
36
46
Type II methanotroph AML-A6
M2 5 (2 clones)M2 12 (23 clones)
88
Type II methanotroph AML-A3
80
Methylocystis sp LW 5
39
Methylocystis sp M
M2 35 (3 clones)M2 53 (1 clone)M2 29 (1clone)
80
Methylocystis echinoides strain 491
88
99
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
69
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium strain SE 2
41
92
94
Methylocapsa acidophila strain B2
Clone RA 14
96
89
86
Nitrosococcus mobilis
Nitrosomonas eutropha
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone RA 21
77
010
Mb478
Mb478
Mcl408Ib453
Ib559
Mcy262
Mcy409
Msi 232II510II630
Mtrof661
Mtrof173
Mmb303
A
B
576 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 4 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the microcosm sample The number of clones (out of 50 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the microcosm sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15
Methylomonas methanica
Methylobacter sp LW 12
Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
31
Methylomicrobium album
Methylobacter sp LW 1
Methylobacter sp LW 14
47
55
Methylothermus sp HB
Methylococcus capsulatus
Clone FW-18
Methylocaldum szegediense
Clone M90-P4
Clone FW-1
54
43
78
36
46
Type II methanotroph AML-A6
Type II methanotroph AML-A3
Methylocystis sp LW 5
39
Methylocystis echinoides 491
Methylocystis sp M
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
Clone P129 (8 clones)
69
29
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium SE 2
41
92
94
Methylocapsa acidophila B2
Clone RA 14
96
Clone P128 (35 clones)Clone P1212 (1 clone)
Clone ferm_xb6
54
Clone LP 21
66
86
61
89
88
Nitrosomonas europaea
Nitrosococcus mobilis
Clone P1211 (2 clones)
11
Nitrosomonas eutropha
43
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone gp5
77
Clone gp2
Clone P1210 (4 clones)
98
90
Clone RA 21
010
Xb6-539
Peat264
Msi 232II510II630
Mtrof661
Mtrof173
LP21-232
NmNc533NsNv207NsNv363
Gp2-581 Gp391
A
B
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
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Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
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Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
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copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
576 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 4 A pmoAamoA DNA neighbour tree showing the phylogenetic positions of the clones obtained from the microcosm sample The number of clones (out of 50 analysed) identical to the displayed representatives is indicatedB Application of the diagnostic microarray to analyse the diversity of methanotrophs in the microcosm sample One slide contained three replicates of the array thus each probe was printed in triplicate For each microarray position the name and the sequence of the probe is indicated in Fig 1A and in Table 1 respectively Probe spots having a normalized signal value (reference mtrof173) greater than 5 of the maximum value obtained with reference sequences were considered as positive Microarray image was adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Methylomonas sp LW 15
Methylomonas methanica
Methylobacter sp LW 12
Methylobacter sp BB51
82
67
Soda lake strain 5b
15
Methylomicrobium pelagicum
31
Methylomicrobium album
Methylobacter sp LW 1
Methylobacter sp LW 14
47
55
Methylothermus sp HB
Methylococcus capsulatus
Clone FW-18
Methylocaldum szegediense
Clone M90-P4
Clone FW-1
54
43
78
36
46
Type II methanotroph AML-A6
Type II methanotroph AML-A3
Methylocystis sp LW 5
39
Methylocystis echinoides 491
Methylocystis sp M
Methylocystis parvus OBBP
23
37
25
Clone peat1-2
Clone P129 (8 clones)
69
29
Methylosinus trichosporium Ob3b
Clone SL 5101
Methylosinus sporium SE 2
41
92
94
Methylocapsa acidophila B2
Clone RA 14
96
Clone P128 (35 clones)Clone P1212 (1 clone)
Clone ferm_xb6
54
Clone LP 21
66
86
61
89
88
Nitrosomonas europaea
Nitrosococcus mobilis
Clone P1211 (2 clones)
11
Nitrosomonas eutropha
43
Nitrosolobus multiformis
Nitrosospira briensis
42
Clone K1
99
94
97
Clone M84-P22
49
Clone gp5
77
Clone gp2
Clone P1210 (4 clones)
98
90
Clone RA 21
010
Xb6-539
Peat264
Msi 232II510II630
Mtrof661
Mtrof173
LP21-232
NmNc533NsNv207NsNv363
Gp2-581 Gp391
A
B
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
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Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
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Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
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methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
Diagnostic microarray for methanotrophs 577
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Fig 5 Quantification of artificial mixtures of pmoA sequences using the diagnostic microarray Relative abundance values were calculated from each positive probe the two-colour calculation method Cy3Cy5 ratios were used where the Cy3 signal arose from artificial mixtures of varying composition (column lsquoexpected ratiosrsquo) and the Cy5 signal from the artificial reference mixture containing all 5 sequences in equal amount (20) Standard deviations are indicated next to measured ratios Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
Fig 6 Quantitative analysis of environmental samples using the diagnostic microarrayA Landfill site sampleB Microcosm sampleImages of two-colour hybridization results are shown Relative abundance values were calculated from each positive probe both using the single-colour and the two-colour calculation methods In single colour calculations normalized ratios were divided by the highest values obtained with reference sequences and the resulting values were taken as indications for the relative abundance of the carrying bacteria In two-colour hybridizations the Cy3Cy5 ratios were used where the Cy3 signal arose from the environmental sample and the Cy5 signal from artificial reference mixtures Microarray images were adjusted for best viewing (quantitative conclusions drawn from the image may be misleading)
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
Anthony RM Brown TJ and French GL (2000) Rapiddiagnosis of bacteremia by universal amplification of 23Sribosomal DNA followed by hybridization to an oligonucle-otide array J Clin Microbiol 38 781ndash788
Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
582 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
578 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
31 in the clone library respectively microcosm 25ndash35predicted for the lsquopeat clonesrsquo group and only 3ndash5 forthe LP21 group versus 18 and 70 in the clone libraryrespectively) it becomes obvious that further work isneeded before diagnostic microbial microarrays can beused for quantitative environmental work Obvious culpritsfor these discrepancies are biases in the PCR and in thecloning of the PCR mixes
Conclusions
The set of techniques presented here enables the designproduction and application of diagnostic microbialmicroarrays by an average microbiology laboratory withaccess to standard molecular biology equipment a com-mercially available spotter and scanner Even though thepilot array developed is targeting a functional gene(pmoA) the techniques and experience described hereare also directly applicable to 16S rRNA based arrays
The current detection limit of the technology is about5 of the total population analysed If cells are present ata lower ratio they may be missed ndash this depends on thenarrow specificity probes targeting them This bottleneckcan be improved by employing more stringent hybridiza-tion conditions however that way one gets limited to PMprobes thereby losing the potential for designing widerspecificity probes New higher binding capacity surfaceswill improve the performance of the approach Finallyalternative labelling techniques (Small et al 2001 Rudiet al 2002) ndash where only a short oligonucleotide islabelled instead of the entire length of the PCR product ndashmay decrease background arising from non-specifichybridization thus improving the system
There are many advances taking place in the field ofmicroarrays which will result in novel technologies thatmay significantly improve the power of this technologyNovel platforms such as new three dimensional slidesurfaces electrically addressed microarrays bead-arraysand lab-on-the-chip techniques are being developed Thecornerstone of diagnostic microbial microarrays thedesign and behaviour of the oligonucleotide probes willhowever not differ too much between the different plat-forms Thus most of the techniques and guidelines pre-sented here will be easily transferable to emerging noveltechnologies
A semi-quantitative analysis of environmental samplesis possible in two stages a first single-colour hybridiza-tion is used to develop a rough estimation of thecommunity structure followed by a second two-colourhybridization with a custom-made reference set based onthe initial results Biases inherent in the preceding molec-ular biology procedures impose limitations upon thisapproach Even after a careful optimization of these stepssuch results must be interpreted with caution Perhaps the
most promising field for diagnostic microbial microarraybased quantification is the analysis of temporal and spa-tial changes within one environment Before applying thedeveloped pmoA microarray in high-throughput analysisof environmental samples for methanotroph diversity it isnecessary to optimize DNA extraction purification andlsquouniversalrsquo pmoAamoA PCR protocols to minimize thebias introduced This aim will also be made easier by thismicroarray
Experimental procedures
Environmental samples
A landfill site sample (Seibersdorf Austria) was collected atthe end of August 2002 The sample collected from the top20 cm of the landfill site cover soil had a pH of 705 and atemperature of 10infinC above ambient air temperature Thesample was lyophilized and stored at - 80infinC until use A soilmicrocosm incubated with 12C-CH4 was also used to evaluatethe microarray Details of this microcosm are already pub-lished (Radajewski et al 2002)
Oligonucleotide probe design
Database and phylogenetic trees were constructed and oli-gonucleotide probes were designed using the phylogeneticsoftware package ARB (Strunk et al 2000) A comprehensivedatabase containing all published pmoAamoA and relatedsequences as well as many unpublished ones was estab-lished Alignments were made using Old Aligner function inARB_EDIT Parsimony DNA and protein trees were constructedand used to guide the probe design process Probes weredesigned using the Probe Design and Probe Match functionsaccessing a PT-server database created from the above ARB
database Outputs of the Probe Match function were importedinto Excel and a pivot table was constructed indicating thenumber of mismatches between each probe-target pair Thistable was refined by applying a set of empirical rules asdescribed in the relevant section of Results and discussionMelting temperatures of the probes were predicted usingthe nearest neighbour method using the public web sitehttpbiotoolsidtdnacomanalyzer Weighed mismatch val-ues were calculated from the number of mismatches asdescribed in the Results section
Microarray preparation
Oligonucleotides for immobilization were custom synthesized(VBC Genomics Vienna Austria) with a 5cent NH2 group fol-lowed by a C12 spacer and five thymidines residues precedingthe probe sequence A 384-well flat bottom plate was pre-pared with 30 ml of 50 mM oligonucleotide solutions in 50DMSO Samples were spotted with an OmniGrid spotter (1TeleChem SMP3 pin) at 50 relative humidity (using thehumidity controller of the spotter) and 22infinC onto silylatedslides (with aldehyde chemistry Cel Associates Houston)Arrays were always spotted in triplicate to enable a statisticalcorrection for errors Spotted slides were incubated overnight
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
Anthony RM Brown TJ and French GL (2000) Rapiddiagnosis of bacteremia by universal amplification of 23Sribosomal DNA followed by hybridization to an oligonucle-otide array J Clin Microbiol 38 781ndash788
Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
582 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
Diagnostic microarray for methanotrophs 579
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
at room temperature at lt30 relative humidity rinsed twicein 02 (wv) SDS for 2 min at room temperature with vigor-ous agitation to remove the unbound DNA Slides were thenrinsed twice in distilled water (dH2O) for 2 min at room tem-perature with vigorous agitation transferred into dH2O pre-heated to 95ndash100infinC for 2 min and allowed to cool at roomtemperature (~ 5 min) Slides were treated in a freshly (imme-diately before use) prepared sodium borohydride solution for5 min at room temperature to reduce free aldehydes Prepa-ration of the sodium borohydride solution 05 g NaBH4 wasdissolved in 150 ml phosphate-buffered saline (PBS 8 gNaCl 02 g KCl 144 g Na2HPO4 024 g KH2PO4 in 1000 mlH2O pH 74 autoclaved) then 44 ml of 100 ethanol wasadded to reduce bubbling Slides were rinsed three times in02 (wv) SDS and once in dH2O for 1 min each at roomtemperature Finally slides were dried individually using anairgun fitted with a cotton wool filter inside (to keep oil micro-droplets away from the slide surface) Dried slides werestored at room temperature in the dark before use
Environmental DNA preparation
The DNA isolation was performed as previously described(Sessitsch et al 2001) Briefly freeze-dried soil was resus-pended in 012 M sodium phosphate buffer (pH 80) andtreated with lysozyme Cells were disrupted by bead beatingand cell lysis was completed by SDS treatment Impuritieswere removed by phenol-chloroform extraction and precipita-tion of humic acids by potassium acetate DNA was precipi-tated by isopropanol washed in 70 ethanol dried andresuspended For final purification spin columns that con-tained Sepharose CL-6B (Pharmacia) and polyvinylpyrroli-done (Sigma 20 mg ml-1) were used
Target preparation
pmoAamoA genes were amplified using the forward primerpmoA189 (5cent-GGBGACTGGGACTTCTGG-3cent) and either oneof the reverse primers T7-mb661 (5cent-TAATACGACTCACTATAGCCGGMGCAACGTCYTTACC-3cent) or T7-A682 (5cent-TAATACGACTCACTATAGGAASGCNGAGAAGAASGC-3cent) where B =(CGT) M = (AC) Y = (CT) S = (CG) and N = (ACGT) Prim-ers T7-mb661 and T7-A682 were specific for methanotrophsand for methanotrophsAOBshomologous genes from envi-ronmental libraries respectively (Bourne et al 2001) Thereverse primers contained the T7 promoter site (5cent-TAATACGACTCACTATAG-3cent) at their 5cent end which enabled T7 RNApolymerase mediated in vitro transcription using the PCRproducts as templates For each target three PCR reactionsof 50 ml volume each consisting of 1yen PCR buffer 15 mMMgCl2 50 nM for each four dNTPs 15 pmoles of both prim-ers 1 ng genomicenvironmental DNA or 01 ng cloned PCRproduct as template and 1 U of Taq polymerase (Invitrogen)were performed in a Hybaid Combi Thermal Reactor TR2using Taq DNA polymerase in accordance with the manufac-turerrsquos instructions Amplification conditions were 95infinC for5 min before template was added then 32 cycles of 1 minat 95infinC 1 min at the annealing temperature 1 min at 72infinCfollowed by a final elongation step of 10 min at 72infinC Poly-merase chain reaction products were pooled and purified
using the HighPure PCR purification kit (Macherey-Nagel)according to manufacturerrsquos instructions Purified DNA wasdissolved in ultrapure water to a DNA concentration of 50 ngml and stored at - 20infinC
Working under RNAse-free conditions in vitro transcriptionwas carried out as follows 8 ml purified PCR product (50 ngml-1) 4 ml 5yen T7 RNA polymerase buffer 2 ml DTT (100 mM)05 ml RNAsin (40 U ml-1) (Promega) 1 ml each of ATP CTPGTP (10 mM) 05 ml UTP (10 mM) 1 ml T7 RNA polymerase(40 U ml-1) (Gibco BRL) and 1 ml Cy3 or Cy5-UTP (5 mM)were added into a 15 ml microcentrifuge tube and incubatedat 37infinC for 4 h RNA was purified immediately using theQuiagen RNeasy kit according to manufacturerrsquos instructionsPurified RNA was eluted into 50 ml dH2O RNA yields and dyeincorporation rates were measured by spectrophotometry
Purified RNA was fragmented by incubating with 10 mMZnCl2 and 20 mM TrisCl (pH 74) at 60infinC for 30 min Frag-mentation was stopped by the addition of 10 mM EDTApH 80 to the reaction and putting it on ice RNAsin (1 ml40 U ml-1) was added to the fragmented target Fragmentedlabelled RNA targets were stored at -20infinC Length of thefragmented RNA target was measured by running the sampleon an ABI capillary sequencer as well as running on a thin2 agarose gel applied onto a standard microscope slideand subsequent scanning in a GenePix 4000 A scanner
Reference targets and artificial target mixtures for testingthe quantification potential were synthesized by mixing knownamounts of purified PCR products and carrying out in vitrotranscription and target fragmentation as described above
Hybridization
No prehybridization was done Hybridization was carried outin a custom tailored aluminum block used as an insert for atemperature controlled Belly Dancer (Stovall Life SciencesGreensboro NC) set at maximum bending (about 10infin) Thehybridization block was preheated to 55infinC for at least 30 minto allow the temperature to stabilize An Eppendorf incubatorwas also preheated to 65infinC HybriWell (Grace BioLabs) stick-on hybridization chambers (200 ml in volume) were appliedonto the slides containing the arrays Assembled slides werepreheated on top of the hybridization block For each hybrid-ization 124 ml DEPC-treated water 2 ml 10 SDS 4 ml 50yenDenhardtrsquos reagent (Sigma) 60 ml 20yen SSC and 10 ml targetRNA were added into a 15 ml Eppendorf tube and incubatedat 65infinC for 1ndash15 min Preheated hybridization mixtures wereapplied onto assembled slides via the port in the lower posi-tions (to minimize risk of air bubbles being trapped within thechamber) Chambers were sealed with seal spots (GraceBioLabs) and incubated overnight at 55infinC at 30ndash40 rpmcirculation and maximum bending
Following hybridization HybriWell chambers wereremoved individually and slides were immersed immediatelyinto 2yen SSC 01 (wv) SDS at room temperature Slideswere washed by shaking at room temperature for 5 min in2yen SSC 01 (wv) SDS twice for 5 min in 02yen SSC andfinally for 5 min in 01yen SSC Slides were dried individuallyusing an airgun with a cotton wool filter inside Slides werestored at room temperature in the dark and scanned thesame day
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
Anthony RM Brown TJ and French GL (2000) Rapiddiagnosis of bacteremia by universal amplification of 23Sribosomal DNA followed by hybridization to an oligonucle-otide array J Clin Microbiol 38 781ndash788
Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
582 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
580 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
Scanning and data analysis
Hybridized slides were scanned at three lines to average10 mm resolution with a GenePix 4000 A laser scanner(Axon Foster City CA) at wavelengths of 532 nm and635 nm for Cy3 and Cy5 respectively Fluorescent imageswere captured as multilayer tiff images and analysed with theGENEPIX PRO 30 software (Axon) Microsoft Excel was usedfor statistical analysis and presentation of results
Results were normalized to a positive control Hybridizationsignal for each probe was expressed as percentage of thesignal (median of signal minus background) of the positivecontrol probe mtrof173 on the same array As each slidecontained triplicate arrays normalized signal intensities ofthe triplicate spots on a slide were used to determine averageresults and standard deviations Non-specific signalsreached in some cases a value of up to 7 ( of that ofmtrof173) Such high non-specific signals were found forprobes which had a high binding capacity as reflected by thesignals obtained with perfect match targets Thus a cutoffvalue of 5 in relation to the highest signal (obtained withperfect match targets) was chosen to define positive andnegative calls
For assays where a (Cy3)-labelled target and a referencetarget (labelled with Cy5) were applied (lsquotwo-colour hybridiza-tionsrsquo) the median of ratios were used Results were normal-ized to mtrof173 and corrected for the relative amounts ofdifferent sequences added into the reference target mixture
Even though no dedicated negative controls were appliedfor each individual hybridization over 70 of all probespresent on the array were negative controls
All results reported represent the average of at least threereplicates
Quantification potential assessment
Mixtures with known compositions were made from referencesequences (PCR products ready for IVT labelling) and werelabelled with Cy3 and Cy5 Cy5-labelled mixtures were usedas reference Median of ratios (Cy3Cy5) values from Gene-Pix were taken and normalized to that of the probe mtrof 173For each reference sequence the average of these valuesfrom all the positive spots were taken as an estimate of therelative abundance of the given sequence in the artificialmixture
Cloning and sequencing of PCR products
pmoA PCR amplicons obtained from environmental sampleswere ligated into the pGEM-T plasmid vector (Promega) andtransformed into E coli DH5a competent cells Screeningfor positive clones was done by the a-complementation asdescribed by Sambrook et al (1989) Plasmid DNA was pre-pared from positive clones using the NucleoTrap kit (Mach-erey-Nagel) according to the manufacturerrsquos instructions andused as a template in sequencing reactions DNA sequenc-ing was performed with an ABI 373 A automated DNAsequencer (PE Applied Biosystems Foster City CA) and theABI PRISM Big Dye terminator cycle sequencing kit (Perkin-Elmer) All DNA sequences reported were sequenced onboth strands
Nucleotide sequence accession numbers
The partial pmoA sequences used in this study to validatethe probe set are available under accession nos AB484595AB484597 AB484601 AB480948 AF148521 AF148522AF150764 AF177325 AF211872 AF211879 AF211883AF211889 AF264115 AF239884 AF264136 AF358040AF358041 AF358045 AF358050 AF358053 AF358054AF358055 AF368358 AF368373 AJ278727 AJ299947AJ299948 AJ299951 AJ299955 AJ299957 AJ299963AJ299964 AJ459006 AY080942 AY080950 AY080955AY236074 AY236075 AY236076 AY236077 AY236078AY236079 AY236080 AY236081 AY236082 AY236083AY236084 AY236085 AY236086 AY236087 AY236517AY236518 U31650 U31654 U72670 U81596 U89302U89304 and U94337 M2 + pmoA sequences have beendeposited with GenBank (accession number AY195653-AY195672)
Acknowledgements
The authors thank Ann Auman Svetlana Dedysh Peter Dun-field Werner Liesack Ian McDonald Samantha Morris andStephen Nold for unpublished sequences pmoA clones andmethanotroph isolates We thank Saacutendor Bottka JoacutezsefCsontos Fodor Szilvia Andrew J Holmes and many activemembers of the Yahoo microarray discussion group (httpwwwgroupsyahoocomgroupmicroarray) for their help andsuggestions concerning various phases of the work pre-sented here Helpful comments and suggestions by twoanonymous reviewers are gratefully acknowledged Work atARC was supported by the Fonds zur Foumlrderung der wissen-schaftlichen Forschung Austria (Project number P15044)and funding through the EU 6th framework quality of life andmanagement of living resources grant QLK-3 CT-2000-01528
References
Anthony RM Brown TJ and French GL (2000) Rapiddiagnosis of bacteremia by universal amplification of 23Sribosomal DNA followed by hybridization to an oligonucle-otide array J Clin Microbiol 38 781ndash788
Behr T Koob C Schedl M Mehlen A Meier H KnoppD et al (2000) A nested array of rRNA targeted probesfor the detection and identification of enterococci byreverse hybridization Syst Appl Microbiol 23 563ndash572
Bourne DG McDonald IR and Murrell JC (2001) Com-parison of pmoA PCR primer sets as tools for investigatingmethanotroph diversity in three Danish soils Appl EnvironMicrobiol 67 3802ndash3809
Breslauer KJ Frank R Blocker H and Marky LA(1986) Predicting DNA duplex stability from the basesequence Proc Natl Acad Sci USA 83 3746ndash3750
Brown TJ and Anthony RM (2000) The addition of lownumbers of 3cent thymine bases can be used to improve thehybridization signal of oligonucleotides for use withinarrays on nylon supports J Microbiol Meth 42 203ndash207
Chizhikov V Wagner M Ivshina A Hoshino Y KapikianAZ and Chumakov K (2002) Detection and genotyping
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
582 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
Diagnostic microarray for methanotrophs 581
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
of human group a rotaviruses by oligonucleotide microar-ray hybridization J Clin Microbiol 40 2398ndash2407
Cho JC and Tiedje JM (2001) Bacterial species determi-nation from DNA-DNA hybridization by using genome frag-ments and DNA microarrays Appl Environ Microbiol 673677ndash3682
Cho JC and Tiedje JM (2002) Quantitative detection ofmicrobial genes by using DNA microarrays Appl EnvironMicrobiol 68 1425ndash1430
Dedysh N Liesack W Khmelenina VN Suzina NETrotsenko YA Semrau JD et al (2000) Methylocellapalustris General nov sp nov a new methane-oxidizingacidophilic bacterium from peat bogs representing a novelsubtype of serine-pathway methanotrophs Int J Syst EvolMicrobiol 50 955ndash969
Dunfield PF Yimga MT Dedysh SN Berger U Lie-sack W and Heyer J (2002) Isolation of a Methylocystisstrain containing a novel pmoA-like gene FEMS MicrobiolEcol 41 17ndash26
Fotin AV Drobyshev AL Proudnikov DY Perov ANand Mirzabekov AD (1998) Parallel thermodynamic anal-ysis of duplexes on oligodeoxyribonucleotide microchipsNucleic Acids Res 26 1515ndash1521
Gulledge J Ahmad A Steudler PA Pomerantz WJand Cavanaugh CM (2001) Genus- and family-level 16SrRNA-targeted oligonucleotide probes for ecological stud-ies on methanotrophic bacteria Appl Environ Microbiol 674726ndash4733
Guo Z Guilfoyle RA Thiel AJ Wang R and SmithLM (1994) Direct fluorescence analysis of genetic poly-morphisms by hybridization with oligonucleotide arrays onglass supports Nucleic Acids Res 22 5456ndash5465
Hamels S Gala JL Dufour S Vannuffel P ZammatteoN and Remacle J (2001) Consensus PCR and microar-ray for diagnosis of the genus Staphylococcus speciesand methicillin resistance Biotechniques 31 1364ndash1362
Hanson RS and Hanson TE (1996) Methanotrophic bac-teria Microbiol Rev 60 439ndash471
Henckel T Jackel U Schnell S and Conrad R (2000a)Molecular analyses of novel methanotrophic communitiesin forest soil that oxidize atmospheric methane Appl Envi-ron Microbiol 66 1801ndash1808
Henckel T Roslev P and Conrad R (2000b) Effects ofO2 and CH4 on presence and activity of the indigenousmethanotrophic community in rice field soil Environ Micro-biol 2 666ndash679
Henckel T Jackel U and Conrad R (2001) Vertical dis-tribution of the methanotrophic community after drainageof rice field soil FEMS Microbiol Ecol 34 279ndash291
Holmes AJ Roslev P McDonald IR Iversen N Hen-riksen K and Murrell JC (1999) Characterization ofmethanotrophic bacterial populations in soils showingatmospheric methane uptake Appl Environ Microbiol 653312ndash3318
Hughes TR Mao M Jones AR Burchard J MartonMJ Shannon KW et al (2001) Expression profilingusing microarrays fabricated by an ink-jet oligonucleotidesynthesizer Nat Biotechnol 19 342ndash347
Hung SH Gray QYu DM and Ratliff RL (1994) Evi-dence from CD spectra that d (purine) r (pyrimidine) and r
(purine) d (pyrimidine) hybrids are in different structuralclasses Nucleic Acids Res 22 4326ndash4334
Ishii K and Fukui M (2001) Optimization of annealingtemperature to reduce bias caused by a primer mismatchin multi-template PCR Appl Environ Microbiol 67 3753ndash3755
Koizumi Y Kelly JJ Nakagawa T Urakawa H El Fan-troussi S Al Muzaini S et al (2002) Parallel character-ization of anaerobic toluene- and ethylbenzene-degradingmicrobial consortia by PCR-denaturing gradient gel elec-trophoresis RNA-DNA membrane hybridization and DNAmicroarray technology Appl Environ Microbiol 68 3215ndash3225
Liu WT Mirzabekov AD and Stahl DA (2001) Optimi-zation of an oligonucleotide microchip for microbial identi-fication studies a non-equilibrium dissociation approachEnviron Microbiol 3 619ndash629
Lovell CR Friez MJ Longshore JW and Bagwell CE(2001) Recovery and phylogenetic analysis of nifHsequences from diazotrophic bacteria associated withdead aboveground biomass of Spartina alterniflora ApplEnviron Microbiol 67 5308ndash5314
Loy A Lehner A Lee N Adamczyk J Meier H ErnstJ et al (2002) Oligonucleotide microarray for 16S rRNAgene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment Appl EnvironMicrobiol 68 5064ndash5508
Lueders T Chin KJ Conrad R and Friedrich M (2001)Molecular analyses of methyl-coenzyme M reductasealpha-subunit (mcrA) genes in rice field soil and enrich-ment cultures reveal the methanogenic phenotype of anovel archaeal lineage Environ Microbiol 3 194ndash204
McDonald IR and Murrell JC (1997) The particulatemethane monooxygenase gene pmoA and its use as afunctional gene probe for methanotrophs FEMS MicrobiolLett 156 205ndash210
McTavish H Fuchs JA and Hooper AB (1993) Sequenceof the gene coding for ammonia monooxygenase inNitrosomonas europaea J Bacteriol 175 2436ndash2444
Meroueh M and Chow CS (1999) Thermodynamics ofRNA hairpins containing single internal mismatchesNucleic Acids Res 27 1118ndash1125
Mikhailovich V Lapa S Gryadunov D Sobolev AStrizhkov B Chernyh N et al (2001) Identification ofrifampin-resistant Mycobacterium tuberculosis strains byhybridization PCR and ligase detection reaction on oligo-nucleotide microchips J Clin Microbiol 39 2531ndash2540
Polz MF and Cavanaugh CM (1998) Bias in template-to-product ratios in multitemplate PCR Appl Environ Micro-biol 64 3724ndash3730
Purkhold U Pommerening-Roser A Juretschko SSchmid MC Koops HP and Wagner M (2000) Phy-logeny of all recognized species of ammonia oxidizersbased on comparative 16S rRNA and amoA sequenceanalysis implications for molecular diversity surveys ApplEnviron Microbiol 66 5368ndash5382
Radajewski S Ineson P Parekh NR and Murrell JC(2000) Stable-isotope probing as a tool in microbial ecol-ogy Nature 403 646ndash649
Radajewski S Webster G Reay DS Morris SA Ine-son P Nedwell DB et al (2002) Identification of active
582 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588
582 L Bodrossy et al
copy 2003 Society for Applied Microbiology and Blackwell Publishing Ltd Environmental Microbiology 5 566ndash582
methylotroph populations in an acidic forest soil by stable-isotope probing Microbiology 148 2331ndash2342
Raskin L Stromley JM Rittmann BE and Stahl DA(1994) Group-specific 16S rRNA hybridization probes todescribe natural communities of methanogens Appl Envi-ron Microbiol 60 1232ndash1240
Reay DS Radajewski S Murrell JC McNamara N andNedwell DB (2001) Effects of land-use on the activity anddiversity of methane oxidizing bacteria in forest soils SoilBiol Biochem 33 1613ndash1623
Reysenbach AL Giver LJ Wickham GS and PaceNR (1992) Differential amplification of rRNA genes bypolymerase chain reaction Appl Environ Microbiol 583417ndash3418
Rudi K Flateland SL Hanssen JF Bengtsson G andNissen H (2002) Development and evaluation of a 16Sribosomal DNA array-based approach for describing com-plex microbial communities in ready-to-eat vegetable sal-ads packed in a modified atmosphere Appl EnvironMicrobiol 68 1146ndash1156
Rudi K Skulberg OM Skulberg R and Jakobsen KS(2000) Application of sequence-specific labeled 16S rRNAgene oligonucleotide probes for genetic profiling of cyano-bacterial abundance and diversity by array hybridizationAppl Environ Microbiol 66 4004ndash4011
Sambrook J Fritsch EF and Maniatis T (1989) Molecu-lar Cloning a Laboratory Manual 2nd edn Cold SpringHarbor New York Cold Spring Harbor Laboratory Press
Schena M Shalon D Heller R Chai A Brown POand Davis RW (1996) Parallel human genome analysismicroarray-based expression monitoring of 1000 genesProc Natl Acad Sci USA 93 10614ndash10619
Semrau JD Chistoserdov A Lebron J Costello A Dav-agnino J Kenna E et al (1995) Particulate methanemonooxygenase genes in methanotrophs J Bacteriol 1773071ndash3079
Sessitsch A Weilherter A Gerzabek MH Kirchmann Hand Kandeler E (2001) Microbial population structures in
soil particle size fractions of a long-term fertilizer fieldexperiment Appl Environ Microbiol 67 4215ndash4224
Shchepinov MS Case-Green SC and Southern EM(1997) Steric factors influencing hybridization of nucleicacids to oligonucleotide arrays Nucleic Acids Res 251155ndash1161
Small J Call DR Brockman FJ Straub TM and Chan-dler DP (2001) Direct detection of 16S rRNA in soilextracts by using oligonucleotide microarrays Appl EnvironMicrobiol 67 4708ndash4716
Spiro A Lowe M and Brown D (2000) A bead-basedmethod for multiplexed identification and quantitation ofDNA sequences using flow cytometry Appl Environ Micro-biol 66 4258ndash4265
Strunk O Gross O Reichel B May M Hermann SStuckman N et al (2000) ARB A software environmentfor for sequence data [WWW document] URL httpwwwmikrobiologietu-muenchende
Sugimoto N Nakano M and Nakano S (2000) Thermo-dynamics-structure relationship of single mismatches inRNADNA duplexes Biochemistry 39 11270ndash11281
Tao H Bausch C Richmond C Blattner FR and Con-way T (1999) Functional genomics expression analysisof Escherichia coli growing on minimal and rich media JBacteriol 181 6425ndash6440
Wilson KH Wilson WJ Radosevich JL DeSantis TZViswanathan VS Kuczmarski TA and Andersen GL(2002) High-density microarray of small-subunit ribosomalDNA probes Appl Environ Microbiol 68 2535ndash2541
Witzingerode F Gobel UB and Stackebrandt E (1997)Determination of microbial diversity in environmental sam-ples pitfalls of PCR-based rRNA analysis FEMS Rev 21213ndash229
Wood WI Gitschier J Lasky LA and Lawn RM (1985)Base composition-independent hybridization in tetrameth-ylammonium chloride a method for oligonucleotidescreening of highly complex gene libraries Proc Natl AcadSci USA 82 1585ndash1588