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Science for conServation 306
Using molecular techniques to combine taxonomic and ecological data for fungi
Reviewing the Data Deficient fungi list, 2009
Using molecular techniques to combine taxonomic and ecological data for fungi
Reviewing the Data Deficient fungi list, 2009
Peter Johnston, Duckchul Park, Ian Dickie and Katrin Walbert
Science for conServation 306
Published by
Publishing Team
Department of Conservation
PO Box 10420, The Terrace
Wellington 6143, New Zealand
Cover: Cortinarius tessiae. Photo: Jerrie Cooper.
Science for Conservation is a scientific monograph series presenting research funded by New Zealand
Department of Conservation (DOC). Manuscripts are internally and externally peer-reviewed; resulting
publications are considered part of the formal international scientific literature.
This report is available from the departmental website in pdf form. Titles are listed in our catalogue on
the website, refer www.doc.govt.nz under Publications, then Science & technical.
© Copyright October 2010, New Zealand Department of Conservation
ISSN 1177–9241 (web PDF)
ISBN 978–0–478–14833–6 (web PDF)
This report was prepared for publication by the Publishing Team; editing by Lynette Clelland and layout
by Frith Hughes and Lynette Clelland. Publication was approved by the General Manager, Research and
Development Group, Department of Conservation, Wellington, New Zealand.
In the interest of forest conservation, we support paperless electronic publishing.
CONTeNTS
Abstract 5
1. Introduction 6
2. Objectives 7
3. Methods 7
3.1 Data sources 7
3.1.1 ecological datasets 7
3.1.2 Dried herbarium specimens 8
3.1.3 Tissue samples stored in CTAB buffer 8
3.1.4 Updated collection data from PDD herbarium 8
3.2 Molecular methods 9
3.2.1 DNA extraction and amplification 9
3.2.2 DNA analysis 9
4. Results 10
4.1 Molecular data from herbarium specimens 10
4.2 Matching ecological data to herbarium specimens 13
4.3 Reassessment of species on the ‘Data Deficient’ list 13
5. Discussion and Conclusions 14
6. Acknowledgements 16
7. References 17
Appendix 1
Collections with molecular data (ITS and LSU sequences,
and t-RFLP patterns) generated 19
Appendix 2
All species reviewed in this project with notes on recommended
changes to status (if any) 24
Appendix 3
Additions to the Data Deficient list 31
5Science for Conservation 306
© Copyright October 2010, Department of Conservation. This paper may be cited as:
Johnston, P.; Park, D.; Dickie, I.; Walbert, K. 2010: Using molecular techniques to combine taxonomic
and ecological data for fungi: reviewing the Data Deficient fungi list, 2009. Science for
Conservation 306. Department of Conservation, Wellington. 31 p.
Using molecular techniques to combine taxonomic and ecological data for fungiReviewing the Data Deficient fungi list, 2009
Peter Johnston, Duckchul Park, Ian Dickie and Katrin Walbert
Landcare Research, Private Bag 92170, Auckland 1142, New Zealand
email: [email protected]
A B S T R A C T
A real problem with understanding the distribution of fungal species is a lack
of specimens and associated collecting data. Few people can accurately identify
fungi, and the effort required to collect and store a specimen is high, meaning
even the most common species are poorly represented in New Zealand’s fungal
collections. This, in turn, creates a problem for biodiversity management,
including the assessment of rarity, which requires species distribution data. The
work reported here uses molecular techniques to supplement specimen-based
distribution data with research data collected by fungal ecologists. We authenticate
the ecological data through a molecular comparison with type specimens and
other putatively authentic specimens. To test the practical value of this approach
we focussed on Data Deficient fungi from the New Zealand Threat Classification
System lists 2002, targeting ectomycorrhizal mushrooms, the subject of relatively
intensive and ongoing ecological sampling. Data collected in this report indicate
that 62 species of ectomycorrhizal mushrooms should be shifted from the Data
Deficient category to a non-threatened category. At least one species should be
considered for shifting to a higher threat category. However, balancing this is a
recommendation to add 32 species to the Data Deficient category. Most of the
additions represent newly described species, which were thus not considered
during the 2002 assessment. The DNA sequence data accumulated during this
project provide a first step in developing an authentic molecular data layer for
New Zealand’s fungi and, as such, have a high value beyond this project. They
provide the means for non-experts to identify fungal species using a simple DNA
sequence comparison. The data will also allow ecologists using t-RFLP sampling
methods to match their samples to a species, and so continue to provide species
distribution data through ecological projects. Previously, only three of the species
treated had DNA sequence data available.
Keywords: fungi, ectomycorrhiza, Inocybe, Cortinarius, DNA, t-RFLP, molecular
identification tools, New Zealand, threat classification
6 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
1. Introduction
effective biodiversity and biosecurity management requires accurate data on the
distribution of species. A real problem with understanding the distribution of
New Zealand’s fungal species is a lack of specimens and associated collecting
data. There are a small number of people who can accurately identify fungi,
and the effort required to collect and store a specimen is high, meaning that
even the most common species are poorly represented in New Zealand’s fungal
collections.
The fungal Threat Classification System lists (Hitchmough 2002), based on
criteria from Molloy et al. (2002), were first developed following a workshop held
during the New Zealand Fungal Foray at Haast in 2002, attended by a group of
experienced mycologists from Landcare Research, Scion, and Otago University.
The lack of distribution data for fungi is a major impediment to assessing the
threat status of New Zealand’s fungi and this is reflected in having more than
1400 species listed in the Data Deficient category.
Distribution records of fungi have traditionally relied solely on direct observation
of the fruiting body. Fruiting bodies are short-lived, and their development
depends on climatic and other conditions, which can lead to under-estimation of
the actual distribution of a species. Practical and inexpensive DNA-based methods
are now available to detect fungal species directly from hyphae, overcoming the
need to observe fruiting bodies.
In this proof-of-concept project we use molecular methods to combine ecological
and taxonomic datasets in an attempt to maximise the distribution data available
for a group of Data Deficient fungal species. ecological projects led by Ian Dickie
(Landcare Research, sampling in beech and tea-tree in the South Island, e.g. Dickie
et al. 2009) and Katrin Walbert (Scion, sampling in tea-tree in the North and South
Islands) are accumulating t-RFLP-based genetic data on ectomycorrhizal fungal
diversity directly from living roots of the host plants. This method is reviewed in
Dickie & Fitzjohn (2007) and implemented in Fitzjohn & Dickie (2007), Dickie
et al. (2009), and Dickie et al. (2010). The t-RFLP data measures changes in
species diversity across sampled sites, but does not provide identification of those
species. To identify the species represented in the ecological datasets requires
a complementary set of molecular data from authentically identified herbarium
specimens. This was provided through specimens in the New Zealand Fungal
Herbarium (PDD), which represent 164 species of ectomycorrhizal mushrooms
in the Data Deficient list.
We review the Data Deficient lists of ectomycorrhizal fungi on the basis of
several other data sources, in addition to the ecological datasets. The publication
of the fungal Threat lists provided a catalyst to encourage additions to the
distribution records for the listed species. Many additional collections of Data
Deficient species have been added to the New Zealand Fungal Herbarium
(PDD) since 2002, through the collecting effort fostered by the annual
New Zealand Fungal Forays (see Foray reports, www.funnz.org.nz). For example,
the Fungal Forays in 2005, 2006, and 2007 reported 44, 57, and 32 Data Deficient
species, respectively. Other projects, funded by the Terrestrial and Freshwater
7Science for Conservation 306
Biodiversity Information System (TFBIS, see www.biodiversity.govt.nz/land/
nzbs/tfbis/tfbis/), incorporated major historical collections of macrofungi into
the New Zealand Fungal Herbarium and the NZFungi database1. These projects
were based on specimens in the private collections of Marie Taylor, Barbara
Segedin, and Greta Stephenson, and included 75 species on the Data Deficient
lists. In addition, the exotic/indigenous status of several species on the original
list has been reviewed (unpubl. data).
2. Objectives
The objective of this study was to review the ectomycorrhizal species on the
Data Deficient fungi list (Hitchmough 2002) by:
Utilising DNA data to integrate taxonomic and ecological datasets to maximise •
the distribution data available for these fungi.
Reviewing all ectomycorrhizal species on the Data Deficient list on the basis •
of herbarium specimens deposited since 2002.
3. Methods
We used molecular methods to combine ecological and taxonomic datasets for a
group of ectomycorrhizal fungal species listed as Data Deficient in Hitchmough
(2002), so maximising distribution records for these species. Sequences and
t-RFLP patterns from the ITS region are generated from reliably identified
herbarium specimens. The t-RFLP patterns are used to recognise when these
species appear in samples collected in ecological studies, allowing very high
throughput assessment of species composition. Identifications can then be
confirmed by direct sequencing or clone libraries in selected samples (e.g. Dickie
et al. 2010). The sequences are used to provide identifications from sequences
generated directly from ectomycorrhizal roots, as well as for collections of
ectomycorrhizal fungi not identified to species level.
3 . 1 D A T A S O U R C e S
3.1.1 Ecological datasets
Sampling of ectomycorrhizal diversity across ecological gradients using molecular
techniques is being carried out in several independently funded projects
(e.g. Dickie et al. 2009). The method used in these projects has been t-RFLP,
which allows species diversity to be estimated from environmental samples
comprising mycorrhizal tree roots and containing mixed DNA extracts of many
1 ‘Historically important mushroom collections added to the New Zealand Fungal Herbarium’:
www.landcareresearch.co.nz/research/research_details.asp?Research_Content_ID=265
8 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
species of fungi. each species is characterised by a t-RFLP profile comprising a
set of four fluorescently labelled DNA fragments of standard size. By matching
t-RFLP profiles between samples, the presence or absence of individual species
can be tracked. Detailed technical methods are provided in Dickie et al. (2009).
To identify the species themselves requires a library of standard profiles to be
generated from authentically identified specimens (see sections 3.1.2 and 3.2).
For the Data Deficient project we had access to 1,341 t-RFLP profiles generated
from ecological samples gathered from three Nothofagus sites, two Pinus sites,
and one Kunzea site in the Craigieburn, Granville, and Station Creek (Rakaia)
areas of Canterbury, South Island. In addition, we were provided with 17 ITS
sequences generated directly from Leptospermum scoparium root tips from
four Canterbury high-country sites.
3.1.2 Dried herbarium specimens
To obtain DNA extracts to generate standard t-RFLP profiles for known species,
putatively authentically identified dried herbarium specimens were selected to
represent as many of the Cortinarius and Inocybe species on the Data Deficient
list as possible. Whenever possible, DNA was extracted from type specimens.
A few species from other genera were included, but Cortinarius and Inocybe
were targeted because there are a large number of species of each on the
Data Deficient list and because they are currently being actively studied
taxonomically in complementary projects run by our international collaborators
(K. Soop and e. Horak for Cortinarius; B. Matheny, University of Tennessee, and
e. Horak for Inocybe). Because of the novelty of the DNA analysis approach we
had no precedent from which to estimate the likely number of matches with the
t-RFLP profiles, and thus included a few commonly collected species as a kind of
control (see section 4.1). The specimens treated are listed in Appendix 1.
3.1.3 Tissue samples stored in CTAB buffer
At the same time as the Data Deficient project was running, we were given
access to a set of about 230 tissue samples from ectomycorrhizal and saprobic
mushrooms collected in 2001 and stored in CTAB buffer at the time of collecting.
This storage method maximises the likelihood of successful extraction of high-
quality DNA. Dried specimens of each of these specimens were recently deposited
in the PDD herbarium. Many of these specimens were identified only to genus
level. Based on these generic identifications, 104 of the tissue samples were from
ectomycorrhizal species, based on the list of ectomycorrhizal genera provided
by Orlovich & Cairney (2004). Of the specimens that had been identified to
species level, eight represented Data Deficient ectomycorrhizal species. ITS
and LSU sequences generated from the remaining unidentified specimens of
ectomycorrhizal fungi showed that a further nine matched Data Deficient species.
Molecular and distribution data from these specimens were incorporated into
the project.
3.1.4 Updated collection data from PDD herbarium
The numbers of collections and the biostatus of all putatively ectomycorrhizal
species on the 2002 Data Deficient list were updated from the current PDD
collection data in the NZFungi database (http:\\nzfungi.landcareresearch.co.nz).
9Science for Conservation 306
3 . 2 M O L e C U L A R M e T H O D S
3.2.1 DNA extraction and amplification
DNA was extracted from herbarium specimens using ReDextract-N-Amp Plant
PCR Kits (Sigma, USA) using the Corbett X-tractor Gene System (Corbett Robotics,
Australia). Tiny pieces of mushroom tissue were ground in extraction buffer with
a plastic pestle in the eppendorf tube. Following this, DNA extraction and PCR
were carried out following manufacturer’s instructions. ITS and LSU sequences
were obtained from each extract following the methods of Johnston & Park
(2005). Amplification primers for ITS were ITS1F and ITS4 (White et al. 1990;
Gardes & Bruns 1993) and for an approximately 950 bp fragment of the LSU were
LROR and LR5 (Vilgalys & Hester 1990; Bunyard et al. 1994). Sequences have been
deposited in Genbank, and accession numbers are provided in Appendix 1.
Standard t-RFLP fragment profiles were generated from the same DNA extracts
using the methods of Dickie et al. (2009), to facilitate identification of the putative
taxa in the ecological samples (see section 3.1.1).
3.2.2 DNA analysis
The ITS and LSU sequences were compared against data in Genbank using a
BLAST search to check that they represented the fungus in the herbarium packet,
rather than a chance contaminating mould. All reliable DNA sequences were
aligned using Clustal X (Thompson et al. 1997), and phylogenetic trees generated
from both the ITS and LSU datasets using a simple Neighbour Joining algorithm
using PAUP* (Swofford 2002). The simple nature of these analyses means that the
relative positions of the taxa in the trees has little phylogenetic significance, but
they show clearly where there are multiple samples of the same species.
The t-RFLP patterns generated from the herbarium specimens were compared
with those generated from the earlier ecological surveys, using the R based
program TRAMPR (Dickie & FitzJohn 2007; FitzJohn & Dickie 2007).
10 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
4. Results
4 . 1 M O L e C U L A R D A T A F R O M H e R B A R I U M S P e C I M e N S
DNA was isolated from 102 dried herbarium specimens. A comparison of ITS
and LSU sequences showed that 78 of these DNA samples represented the fungi
expected, the remainder being various species of contaminating ascomycete
fungi. The success rate for extracting good quality, reliable DNA lowered as
the herbarium specimens got older, especially in those species with small, thin-
fleshed fruiting bodies (Figs 1 & 2; Appendix 1). Most of the pre-1990 specimens
from which good DNA was isolated were of species with large, robust fruiting
bodies. Good quality DNA was successfully isolated from all of the tissue
samples stored in CTAB. The specimens sequenced represented 74 different
ectomycorrhizal species (Fig. 3). High-quality t-RFLP patterns were generated for
all of these species. Several specimens represent Inocybe spp. in the process of
being formally published and are listed as Inocybe sp. 1–12 in Appendix 1 and
Fig. 3. DNA sequences for these species are not yet publicly available.
These data allowed us to:
Recognise misidentified herbarium specimens (Table 1) through ITS sequence •
comparisons. In each case, the accuracy of the redetermination was confirmed
by morphological examination.
Generate additional distribution records for 13 Data Deficient species through •
matches to ecological samples using t-RFLP profiles.
Recognise nine previously unidentified herbarium specimens as representing •
Data Deficient species, through matches to ITS sequences.
Recognise that two species likely to be described in future taxonomic studies •
were common in the ecological samples. In most cases, recently described
species of mushrooms in New Zealand taxonomic studies are based on one or
a few herbarium specimens, the minimal data provided on their distribution
and frequency meaning that they need to be added to the Data Deficient lists
following publication.
Recognise that the Data Deficient• Cortinarius cinnabarinus was incorrectly
recorded as present in New Zealand. The specimen on which this record was
based has been redetermined as Cortinarius veronicae var. dilutus on the
basis of an ITS sequence comparison.
Question whether one of the common species included as a control, •
Astrosporina asterospora, in fact occurs in New Zealand. This fungus was
originally described from north temperate regions, but Horak (1978) noted
that although the Northern Hemisphere–New Zealand distribution is unusual,
this species is found also in New Guinea, the Solomon Islands and Malaysia.
However, the New Zealand specimen we sequenced is genetically distinct
from Genbank records deposited as A. asterospora from Sweden and Denmark
(Genbank accession numbers AJ889950, AJ889951, AM882897).
11Science for Conservation 306
Figure 1. The proportion of herbarium specimens collected in each decade
from 1960s to present, from which high-quality DNA was
successfully isolated.
Figure 2. PDD 27072, the type specimen for
Camarophyllus patinicolor, collected in 1968. This is one of the Data Deficient species
with small, thin-fleshed fruiting bodies from which DNA was not successfully
isolated.
0
25
50
75
100
1960s (n = 21) 1970s (n = 2) 1980s (n = 10) 1990s (n = 18) 2000s (n = 36)
Decade specimens collected
Pro
porti
on p
rovi
ding
hig
h qu
ality
DN
A (%
)
Decade specimens collected
Pro
porti
on p
rovi
ding
hig
h-qu
ality
DN
A (%
)
1960s (n = 21) 1970s (n = 2) 1980s (n = 10) 1990s (n = 18) 2000s (n = 36)0
25
50
75
100
12 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
PUTATIVe SPeCIeS SeQUeNCeD IDeNTITy BASeD ON DNA SeQUeNCe DATA
Dermocybe leptospermorum PDD94202—another Dermocybe sp. with no DNA match
Cortinarius aegrotus PDD75275—DNA match to Cortinarius vitreopileatus
Dermocybe cramesina PDD94350—DNA match to Cortinarius papaver
Cortinarius chrysma PDD94351—another Cortinarius sp. with no DNA match
Cortinarius ignotus PDD94177—DNA match to Cortinarius sinapicolor
Cortinarius viscostriatus PDD75709—another Cortinarius sp. with no DNA match
Camarophyllus impurus PDD 81871—doubtfully Camarophyllus
Camarophyllus griseorufescens PDD 87889—doubtfully Camarophyllus
Camarphyllus canus PDD 88851—doubtfully Camarophyllus
TABLe 1. eXAMPLeS OF MISIDeNTIFICATIONS OF SPeCIeS ON THe DATA DeFICIeNT LIST ReVeALeD THROUGH
DNA ANALySIS.
Figure 3. Neighbour joining tree based on ITS sequences. Species represented by their
type specimens are indicated, as are the commonly
collected species. Names in red are of species with
clear matches to t-RFLP environmental samples; names blue have poorly
defined matches with some parts of the profile low and difficult to distinguish from
background signal; names in green match some t-RFLP profiles from environmental
samples but are not unique for a single species. Geographic distribution of the specimens sampled is
indicated by Crosby District codes (Crosby et al. 1998).
0.03
PDD67181_Cortinarius_exlugubris_Holotype_MC
PDD71306_Inocybe_sp_7_GB
PDD72683_Inocybe_strobilomyces_det_Horak_TO_COMMON
PDD27168_Dermocybe_splendida_Holotype_AK
PDD27109_Astrosporina_viscata_Holotype_BR
PDD72788_Cortinarius_sp_det_Horak_TO
PDD71143_Inocybe_sp_2_WD
PDD72861_Astrosporina_asterospora_det_Horak_ND_COMMON
PDD27184_Dermocybe_icterinoides_Holotype_GB
PDD72763_Cortinarius_sp_det_Horak_TO
PDD70509_Cortinarius_collybianus_Holotype_NN
PDD72619_Inocybe_sp_10_TO
PDD72818_Inocybe_sp_3_CL
PDD27272_Cortinarius_viscostriatus_Holotype_NN
PDD72768_Cortinarius_sp_TO
PDD27270_Cortinarius_aegrotus_Holotype_GBPDD71008_Cortinarius_periclymenus_Holotype_NC
PDD27174_Dermocybe_cardinalis_Holotype_NN
PDD70499_Cortinarius_dysodes_Holotype_MC
PDD72665_Cortinarius_singularis_det_Horak_TO
PDD94024_Cortinarius_cf_melimyxa_det_Soop_FD
PDD71314_Cortinarius_veronicae_var_dilutus_det_Soop_BR
PDD27262_Cortinarius_marmoratus_Holotype_NN
PDD71150_Inocybe_sp_5_FD
PDD70501_Cortinarius_picoides_Holotype_MC
PDD72696_Dermocybe_olivaceonigra_det_Horak_BP
PDD75275_Cortinarius_aegrotus_det_Leonard_NN
PDD70507_Cortinarius_persicanus_Holotype_NN
PDD72785_Cortinarius_sp_"badiohepaticus"_ined_TO
PDD72753_Cortinarius_olorinatus_det_Horak_
PDD72806_Cortinarius_caryotis_det_Horak_TO
PDD94177_Cortinarius_ignotus_det_Shirley_AK
PDD94019_Cortinarius_picoides_det_Soop_FD
PDD71009_Cortinarius_rattinus_Holotype_NC
PDD70505_Cortinarius_naphthalinus_Holotype_MC
PDD71010_Cortinarius_viscilaetus_Holotype_SL
PDD72728_Cortinarius_napivelatus_det_Horak_BR
PDD72523_Inocybe_sp_1_OL
PDD72690_Cortinarius_sp_det_Horak_TO
PDD32252_Dermocybe_cardinalis_det_Horak_AK
PDD72655_Cortinarius_cretax_det_Soop_TO
PDD72729_Inocybe_sp_8_GB
PDD72620_Cortinarius_gymnopiloides_det_Horak_TO
PDD82818_Inocybe_sp_11_BR
PDD71166_Inocybe_sp_6_OL
PDD74305_Cortinarius_caryotis_det_Soop_GB
PDD72700_Cortinarius_cf_sinapicolor_det_Horak_BP
PDD72772_Cortinarius_peraureus_det_Soop_TO
PDD27226_Camarophyllus_impurus_Holotype_AK
PDD72611_Cortinarius_rotundisporus_det_Horak_TO_COMMON
PDD68469_Cortinarius_chrysma_Holotype_MC
PDD27269_Cortinarius_castaneiceps_Holotype_CL
PDD94015_Cortinarius_austrocyanites_det_Soop_FD
PDD72794_Cortinarius_sp_ basifibrillosus _ined_TO" "
PDD72766_Cortinarius_chrysma_det_Soop_TO
PDD70502_Cortinarius_carbonellus_Holotype_NC
PDD71267_Inocybe_sp_12_NC
PDD71003_Cortinarius_papaver_Holotype_NN
PDD27263_Cortinarius_porphyrophaeus_Holotype_CL
PDD72542_Austroboletus_lacunosus_Det_Horak_OL_COMMON
PDD72707_Inocybe_sp_4_GB
PDD27180_Dermocybe_alienata_Holotype_AK
PDD27181_Dermocybe_largofulgens_Holotype_AK
PDD27230_Camarophyllus_griseorufescens_Holotype_AK
PDD72661_Cortinarius_cupreonatus_det_Soop_TO
PDD92390_Dermocybe_cardinalis_det_Leonard_NN
PDD71007_Cortinarius_anauensis_Holotype_SL
PDD72521_Inocybe_umbrosa_det_Horak_OL
PDD72618_Inocybe_luteobulbosa_var_luteobulbosa_det_Horak_TO_COMMON
PDD72715_Cortinarius_cupreonatus_det_Soop_GB
PDD67176_Cortinarius_saturniorum_Holotype_MC
PDD72767_Cortinarius_sp_det_Horak_TO
PDD88842_Cortinarius_cf_viscoviridis_det_Leonard_NN
PDD72522_Inocybe_sp_9_OL
PDD27173_Dermocybe_cramesina_Holotype_NN
PDD72692_Dermocybe_splendida_det_Horak_BP
PDD70500_Cortinarius_perelegans_Holotype_MC
PDD27258_Cortinarius_aerugineoconicus_Holotype_NN
PDD71005_Cortinarius_minoscaurus_Holotype_CO
PDD77794_Astrosporina_subclavata_det_Horak_NN
PDD72677_Cortinarius_peraureus_det_Soop_TO
PDD94350_Dermocybe_cramesina_det_Shirley_AK
PDD27271_Cortinarius_vitreopileatus_Holotype_GB
PDD71004_Cortinarius_caryotis_Holotype_MC
PDD72687_Cortinarius_sp_ cucumeris _ined_TO" "
PDD72781_Cortinarius_meleagris_det_Horak_TO_COMMON
PDD72625_Cortinarius_retipes_det_Horak_TO_COMMON
PDD72686_Cortinarius_veronicae_var_dilutus_det_Soop_TO
PDD27183_Dermocybe_leptospermorum_Holotype_FD
PDD94011_Cortinarius_cf_gemmeus_det_Soop_FD
PDD88624_Inocybe_scabriuscula_det_Horak_NN
PDD27177_Dermocybe_egmontiana_Holotype_TK
PDD72637_Tylopilus_formosus_det_Horak_TO_COMMON
PDD82820_Camarophyllus_impurus_det_Horak_BR
13Science for Conservation 306
4 . 2 M A T C H I N G e C O L O G I C A L D A T A T O H e R B A R I U M S P e C I M e N S
Several of the environmental samples collected through the ecological projects
had t-RFLP profiles matching those from herbarium specimens. However, many
of the matches were tentative, being based on poorly defined profiles where
one or more of the bands was doubtfully present, or where the profiles were
not unique to a single species (Fig. 3). The putatively common species were no
more often matched to the environmental samples than the supposedly rarer
Data Deficient species.
Two of the species with multiple matches to environmental samples have yet to
be formally described. These species are Cortinarius “badiohepaticus”, and the
species represented by the two collections labelled Cortinarius cf. gemmeus and
Cortinarius cf. melimyxa. even though they have not been formally described,
the frequent matches to environmental samples suggest that both species are
reasonably common.
None of the DNA sequences generated directly from mycorrhizal roots of
Leptospermum scoparium matched any of those from herbarium specimens.
Based on results from Genbank BLAST searches, these root samples comprised
six Cortinarius spp., four Tomentella spp., two Russula spp., one Clavulina sp.,
and one Tomentellopsis sp. None closely matched any sequence deposited in
Genbank.
4 . 3 R e A S S e S S M e N T O F S P e C I e S O N T H e ‘ D A T A D e F I C I e N T ’ L I S T
Appendix 2 lists the 164 ectomycorrhizal species in the 2002 Data Deficient list
for which specimens are available in the PDD herbarium. The appendix includes
notes on those species to be removed from the Data Deficient category and
placed in a higher threat category, those to be removed because they are now
considered unthreatened, and those to be retained as Data Deficient.
each name is assessed in relation to additional distribution records based on
dried specimens gathered since 2002, as well as the additional distribution
records provided by molecular matches to ecological samples. Several species
are removed from the category for technical reasons—either they are now
considered to be exotic, they are species now considered doubtfully present
in New Zealand, or they are undescribed species deposited in the herbarium
with informal, unpublished herbarium names and mistakenly categorised as Data
Deficient in 2002.
In summary, we recommend that 62 of the originally listed species should be
moved from the Data Deficient category to a non-threatened category. Cortinarius
pholiotellus should be considered for a higher threat category—it has been
collected only twice, each time from the same locality, beside a river and in a
highly disturbed site with potential to be destroyed in the longer term. Russula
tapawera could be recommended for adding to the Data Deficient category, but
with all four collections from the same locality, should perhaps be considered
for a higher threat status.
14 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
Counter-balancing the removal of species from the Data Deficient category is a
recommendation to add 32 species (Appendix 3). Most of these species were
described after the original 2002 assessment and are represented by less than
four herbarium specimens.
5. Discussion and Conclusions
In addition to reviewing the status of 164 species of ectomycorrhizal fungi
categorised as Data Deficient, this project provides a proof-of-concept test of the
value that a basic, authentic molecular data layer can provide for understanding
the distribution and diversity of New Zealand’s fungi. This project combines
data from ecological and taxonomic datasets, matching t-RFLP profiles from
mycorrhizal root tips to those from authentic herbarium specimens of fruiting
bodies of the Data Deficient species. On the basis of the DNA data generated
we were able to provide more accurate identifications of herbarium specimens
putatively representing Data Deficient species through ITS sequence comparisons,
and provide additional distribution records for Data Deficient species through
t-RFLP profile matches.
In a broader context, the project has provided a start to the accumulation of a
barcode-like molecular data layer for the ectomycorrhizal fungi of New Zealand.
The information gathered from authentic herbarium specimens will have value
beyond the project. The power of molecular methods for understanding fungal
distributions are three-fold—they allow non-experts to accurately identify
specimens, they allow fungal species to be identified without the need to see
fruiting bodies, and they provide the opportunity to combine data from diverse
taxonomic and ecological projects.
Identification of mushrooms from fruiting body morphology relies also on the
skills and accuracy of the observers. This project showed that even with skilled
and experienced observers, many identifications are likely to be incorrect and
that several past records of Data Deficient species have been based on incorrectly
identified specimens (see Table 1). The DNA sequences now publicly available
through Genbank (see Appendix 1) provide a greater resource for allowing
molecular confirmation of an identification.
To date, the threat lists of fungi have been based only on data from herbarium
specimens. It is well known that the diversity of fungi measured from the
occurrence of fruiting bodies often does not reflect the diversity of fungal hyphae
within that ecosystem (e.g. Gardes & Bruns 1996). To observe a fruiting body
in an ecosystem requires a condition beyond the fungus being present—it also
requires the environmental conditions to be suitable for that fungus to fruit. This
reflects the pattern seen in this study, that species putatively common on the
basis of fruit body observation are no more likely to be matched in datasets based
on diversity of hyphae than are the much less commonly observed Data Deficient
species. Therefore, as well as having the potential to provide huge numbers of
records (the more than 1000 records from t-RFLP patterns available to us in this
project for no cost would have taken a huge effort to generate as traditional
15Science for Conservation 306
dried specimens), ecological datasets may more accurately reflect actual species
diversity across the landscape. The molecular data gathered during this project
will allow an ongoing accumulation of distribution data from ecological projects
using both t-RFLP and direct sequencing methods.
The t-RFLP method used in this project is time and cost effective for generating
large amounts of distribution data. A disadvantage is that even with a complete
library of t-RFLP fragment sizes, it is unable to distinguish all species. Some
putative matches are known to represent more than one species (e.g. the
Laccaria spp. discussed in Dickie et al. 2009), and the quality of the signal
from environmental samples may preclude a reliable identification (see Fig. 3
and Appendix 2). Using different or additional restriction enzymes may reduce
this problem, but such a change would require whole new libraries of standard
fragment sizes to be accumulated. Another disadvantage is that researchers from
different labs must use exactly equivalent protocols and restriction enzymes for
results to be combined.
One alternative is to sequence directly from individual mycorrhizal root fragments,
but this method is not well suited to Nothofagus due to a high level (> 50%) of
single root fragments being colonised by multiple fungal species (Dickie et al.
2010). While cloning can be used to separate DNA of multiple species, for
cultural reasons, permission to clone DNA extracted from native environments
in New Zealand is difficult to obtain. Tedersoo et al. (2008) attempted to
avoid the problem of mixed DNA extracts by designing sets of taxon-specific
primers targeting the kinds of fungi they expected to be present as mycorrhizas.
However, this is a time-intensive approach that potentially biases results towards
pre-selected groups of taxa.
Technological advances in pyrosequencing are starting to provide practical,
time-efficient alternatives to t-RFLP and cloning. For example, the Life Sciences
GS Junior 454 sequencing machines are suitable for small labs and for a few
thousand dollars allow large numbers of sequences up to about 450 bp in length
to be generated from mixed environmental DNA. Buée et al. (2009) used a similar
system to investigate total fungal diversity in forest soils.
To realise the potential of any of these methods requires a much more complete
library of DNA data matched to authentic specimens, irrespective of whether
those data comprise t-RFLP band sizes, or DNA sequences. For example, in the
454-based study, Buée et al. (2009) were able to identify only 26 of the more
than 1000 putative species detected from oak forest soils. O’Brien et al. (2005)
used cloning to recognise 412 putative fungal taxa from soil on the basis of
ITS sequences. Of the sequences representing Basidiomycota, 36% could not be
identified even to the taxonomic level of Order.
Perhaps the most powerful advantage of a molecular approach is the ability to
take data from a wide range of projects and reanalyse it for alternative purposes.
Projects using DNA sequences rather than t-RFLP have greater potential for
matching data between unrelated projects because the data generated in method-
independent. Most ecological projects using DNA sequences to identify taxa
target the ITS region. The ITS is currently regarded as having the best potential
as a barcoding region for fungi (Seifert 2008) and is routinely collected as part
of many ecological and taxonomic projects. Although not reliable for all groups,
ITS sequences usually distinguish taxa at about the level of species, are easy to
16 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
generate from samples with even poor quality DNA, and can be searched against
a rapidly expanding dataset. In this project, each case where a redetermination
was based on an ITS sequence comparison was confirmed by a subsequent
morphological examination.
This project provides a direction for the future. Modern fungal taxonomy
demands a molecular approach, even for the most basic alpha-taxonomic study.
The same will soon be true for any study asking questions about fungal diversity
and distribution, rarity, threat, impact and recovery. Useful extensions of this
project could include: generating a complete DNA data layer for New Zealand’s
rare and endangered fungi; developing more reliable protocols for extraction of
DNA from old herbarium specimens; using DNA sequence data to develop probes
to specifically target hyphae of fungal species in high threat categories to better
understand their local, as well as their wider, distributions within ecosystems;
expanding the dataset from ectomycorrhizal fungi to include wood-rotting fungi,
which are also being targeted in ecological studies (D. Peltzer, Landcare Research,
pers. comm.); and developing a web-based tool to allow broad user access to the
authentic, New Zealand-focussed DNA layer being accumulated, so facilitating
more accurate, DNA-based identification of specimens and avoiding data quality
issues with Genbank (e.g. Nilsson et al. 2006; Pennisi 2008).
6. Acknowledgements
This research was funded by the Department of Conservation (IMC-03-4131).
We thank Dr egon Horak (Innsbruck, Austria) for supplying the CTAB-preserved
specimens incorporated into this study, and Dr Karl Soop (Sweden) for feedback
on the identification of some of the collections examined.
17Science for Conservation 306
7. References
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Buée, M.; Reich, M.; Murat, C.; Morin, e.; Nilsson, R.H.; Uroz, S.; Martin, F. 2009: 454 pyrosequencing
analyses of forest soils reveal an unexpectedly high fungal diversity. New Phytologist 184:
449–456.
Bunyard, B.A.; Nicholson, M.S.; Royse, D.J. 1994: A systematic assessment of Morchella using RFLP
analysis of the 28S ribosomal RNA gene. Mycologia 86: 762–772.
Crosby, T.K.; Dugdale, J.S.; Watt, J.C. 1998: Area codes for recording specimen localities in the
New Zealand subregion. New Zealand Journal of Zoology 25: 175–183.
Dickie, I.A.; Bolstridge, N.; Cooper, J.A.; Peltzer, D.A. 2010: Co-invasion by Pinus and its mycorrhizal
fungi. New Phytologist 187: 475–484.
Dickie, I.A.; FitzJohn, R.G. 2007: Using terminal restriction fragment length polymorphism (T-RFLP)
to identify mycorrhizal fungi: a methods review. Mycorrhiza 17: 259–270.
Dickie, I.A.; Richardson, S.J.; Wiser, S.K. 2009: ectomycorrhizal fungal communities in two
temperate Nothofagus rainforests respond to changes in soil chemistry after small-scale
timber harvesting. Canadian Journal of Forest Research 39: 1069–1079.
FitzJohn, R.G.; Dickie, I.A. 2007: TRAMPR: an R package for analysis and matching of terminal-
restriction fragment length polymorphism (TRFLP) profiles. Molecular Ecology Notes 7:
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Gardes, M.; Bruns, T.D. 1993: ITS primers with enhanced specificity for basidiomycetes—application
to the identification of mycorrhizae and rusts. Molecular Ecology 2: 113–118.
Gardes, M.; Bruns, T.D. 1996: Community structure of ectomycorrhizal fungi in a Pinus muricata
forest: above- and below-ground views. Canadian Journal of Botany 74: 1572–1583.
Hitchmough, R. 2002: New Zealand Threat Classification System lists 2002. Threatened Species
Occasional Publication 23. Department of Conservation, Wellington. 210 p.
Horak, e. 1978: Fungi agaricini Novaezelandiae VI. Inocybe (Fr.) Fr. and Astrosporina Schroeter.
New Zealand Journal of Botany 15: 713–747.
Johnston, P.R.; Park, D. 2005: Chlorociboria (Fungi, Helotiales) in New Zealand. New Zealand
Journal of Botany 43: 679–719.
Molloy, J.; Bell, B.; Clout, M.; de Lange, P.; Gibbs, G.; Given, D.; Norton, D.; Smith, N.; Stephens,
T. 2002: Classifying species according to threat of extinction—a system for New Zealand.
Threatened Species Occasional Publication 22. Department of Conservation, Wellington.
26 p.
Nilsson, R.H.; Ryberg, M.; Kristiansson, e.; Abarenkov, K.; Larsson K.-H.; Köljalg, U. 2006: Taxonomic
reliability of DNA sequences in public sequence databases: a fungal perspective. PLoS ONE
1(1): e59. doi:10.1371/journal.pone.0000059
O’Brien, H.e.; Parrent, J.L.; Jackson, J.A.; Moncalvo, J.-M.; Vilgalys, R. 2005: Fungal community
analysis by large-scale sequencing of environmental samples. Applied and Environmental
Microbiology 71: 5544–5550.
Orlovich, D.A.; Cairney, J.W.G. 2004: ectomycorrhizal fungi in New Zealand: current perspectives
and future directions. New Zealand Journal of Botany 42: 721–738.
Pennisi, e. 2008: Proposal to ‘wikify’ GenBank meets stiff resistance. Science 319: 1598–1599.
Seifert, K.A. 2008: Integrating DNA barcoding into the mycological sciences. Persoonia 21:
162–166.
Soop, K. 2006: Cortinarioid fungi of New Zealand: an iconography and key. Revised 5th edition.
Éditions Scientirix, Mora, Sweden.
18 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
Swofford, D.L. 2002: PAUP*. Phylogenetic analysis using parsimony (*and other methods). Version 4.
Sunderland, Massachusetts, Sinauer Associates.
Tedersoo, l.; Jairus, T.; Horton, B.M.; Abarenkov, K.; Suvi, T.; Saar, I.; Köljag, U. 2008: Strong host
preference of ectomycorrhizal fungi in a Tasmanian wet sclerophyll forest as revealed by
DNA barcoding and taxon-specific primers. New Phytologist 180: 479–490.
Thompson, J.D.; Gibson, T.J.; Plewniak, F.; Jeanmougin, F.; Higgins, D.G. 1997: The CLUSTAL_X
windows interface: flexible strategies for multiple sequence alignment aided by quality
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Vilgalys, R.; Hester, M. 1990: Rapid genetic identification and mapping of enzymatically amplified
ribosomal DNA from several Cryptococcus species. Journal of Bacteriology 172:
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White, T.J.; Bruns, T.; Lee, S.; Taylor, J.W. 1990: Amplification of direct sequencing of fungal ribosomal
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Appendix 1
C O L L e C T I O N S W I T H M O L e C U L A R D A T A ( I T S A N D L S U S e Q U e N C e S , A N D t - R F L P P A T T e R N S ) G e N e R A T e D
20 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
SPe
CIe
S (B
IOST
AT
US)
P
DD
H
OL
OT
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e
ye
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t-
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LP
, IT
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SU D
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AT
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N
OT
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C
OL
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CT
eD
(W
ITH
Ge
NB
AN
K A
CC
eSS
ION
NU
MB
eR
S)
Ast
rosp
ori
na
aeq
ua
lis
(in
dig
eno
us
end
emic
) 32
335
T
1974
C
on
tam
inat
ing
DN
A
Ast
rosp
ori
na
am
ygda
lin
a (
ind
igen
ou
s en
dem
ic)
2711
4 T
19
69
Co
nta
min
atin
g D
NA
Ast
rosp
ori
na
ast
erosp
ora
72
861*
2001
H
M06
0326
, HM
0603
25
Co
mm
on
co
ntr
ol s
pec
ies
(see
Met
ho
ds)
Ast
rosp
ori
na
ma
nu
ka
nea
(in
dig
eno
us
end
emic
) 27
110
T
1968
C
on
tam
inat
ing
DN
A
Ast
rosp
ori
na
pa
race
rasp
hora
(in
dig
eno
us
no
n-e
nd
emic
) 27
108
T
1967
C
on
tam
inat
ing
DN
A
Ast
rosp
ori
na
str
am
inea
(in
dig
eno
us
end
emic
) 27
112
T
1969
N
o D
NA
iso
late
d
Ast
rosp
ori
na
su
bcl
ava
ta (
ind
igen
ou
s en
dem
ic)
2711
1 T
19
69
Co
nta
min
atin
g D
NA
Ast
rosp
ori
na
su
bcl
ava
ta (
ind
igen
ou
s en
dem
ic)
7779
4
2003
G
U23
3360
Ast
rosp
ori
na
vis
cata
(in
dig
eno
us
end
emic
) 27
109
T
1968
C
on
tam
inat
ing
DN
A
Au
stro
bole
tus
lacu
nosu
s (i
nd
igen
ou
s n
on
-en
dem
ic)
7254
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20
01
HM
0603
27
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mm
on
co
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ol s
pec
ies
(see
Met
ho
ds)
Bole
tus
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lan
dia
e (i
nd
igen
ou
s en
dem
ic)
2589
6 T
19
66
Co
nta
min
atin
g D
NA
Ca
ma
roph
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s ca
nu
s (i
nd
igen
ou
s en
dem
ic)
2707
3 T
19
69
Co
nta
min
atin
g D
NA
Ca
ma
roph
yllu
s del
ica
tus
(in
dig
eno
us
end
emic
) 27
087
T
1967
C
on
tam
inat
ing
DN
A
Ca
ma
roph
yllu
s gr
iseo
rufe
scen
s (i
nd
igen
ou
s en
dem
ic)
2723
0 T
19
81
GU
2333
28, G
U23
3423
Ca
ma
roph
yllu
s im
pu
rus
(in
dig
eno
us
end
emic
) 27
226
T
1981
G
U23
3327
, GU
2333
83
Ca
ma
roph
yllu
s im
pu
rus
(in
dig
eno
us
end
emic
) 75
515
20
02
GU
2333
58, G
U23
3410
Ca
ma
roph
yllu
s im
pu
rus
(in
dig
eno
us
end
emic
) 82
820
20
05
GU
2333
63, G
U23
3406
Ca
ma
roph
yllu
s pa
tin
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r (i
nd
igen
ou
s en
dem
ic)
2707
2 T
19
68
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nta
min
atin
g D
NA
Ca
ma
roph
yllu
s sp
.?
8187
1
2004
D
ou
btf
ul I
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TS
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LSU
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ces
Ori
gin
ally
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tifi
ed a
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am
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ph
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s
bu
t n
o t
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U23
3386
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62
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ma
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TS
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Ori
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tifi
ed a
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am
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ph
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s
bu
t n
o t
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P. G
U23
3364
, GU
2334
12
gris
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ma
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.?
8885
1
2006
D
ou
btf
ul I
D, I
TS
and
LSU
seq
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ces
Ori
gin
ally
iden
tifi
ed a
s C
am
arp
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us
bu
t n
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U23
3366
, G
U23
3382
Cort
ina
riu
s a
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tus
(in
dig
eno
us
end
emic
) 27
270
T
1981
G
U23
3333
, GU
2333
89
Cort
ina
riu
s a
eru
gin
eoco
nic
us
(in
dig
eno
us
end
emic
) 27
258
T
1969
G
U23
3329
, GU
2334
08
Cort
ina
riu
s a
na
uen
sis
(in
dig
eno
us
end
emic
) 71
007
T
1999
G
U23
3350
, GU
2333
81
Cort
ina
riu
s a
ust
rocy
an
ites
(in
dig
eno
us
no
n-e
nd
emic
) 94
015
20
08
GU
2333
70, G
U23
3385
Cort
ina
riu
s ca
rbon
ellu
s (i
nd
igen
ou
s en
dem
ic)
7050
2 T
19
99
GU
2333
43, G
U23
3391
Cort
ina
riu
s ca
ryoti
s (i
nd
igen
ou
s en
dem
ic)
7100
4 T
19
99
GU
2333
48, G
U23
3407
Cort
ina
riu
s ca
ryoti
s (i
nd
igen
ou
s en
dem
ic)
7280
6*
20
01
Seq
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ces
no
t p
ub
licly
ava
ilab
le
Ori
gin
ally
iden
tifi
ed a
s C
ort
ina
riu
s cf
.
re
tipes
Cort
ina
riu
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nd
igen
ou
s en
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ic)
7430
5
2001
G
U23
3356
, GU
2334
21
Cort
ina
riu
s ca
sta
nei
ceps
(in
dig
eno
us
end
emic
) 27
269
T
1981
G
U23
3332
Cort
ina
riu
s ch
rysm
a (
ind
igen
ou
s en
dem
ic)
6846
9 T
19
97
GU
2333
39, G
U23
3393
Cort
ina
riu
s co
llyb
ian
us
(in
dig
eno
us
end
emic
) 70
509
T
1999
G
U23
3346
, GU
2334
17
Cort
ina
riu
s dys
odes
(in
dig
eno
us
end
emic
) 70
499
T
1999
G
U23
3340
, GU
2333
94
* D
NA
fro
m t
issu
e sa
mp
le s
tore
d in
CT
AB
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ffer
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on
tin
ued
nex
t pa
ge
21Science for Conservation 306
Appen
dix
1 c
on
tin
ued
SPe
CIe
S (B
IOST
AT
US)
P
DD
* H
OL
OT
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ye
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t-
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AT
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OT
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C
OL
Le
CT
eD
(W
ITH
Ge
NB
AN
K A
CC
eSS
ION
NU
MB
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S)
Cort
ina
riu
s ex
lugu
bri
s (i
nd
igen
ou
s en
dem
ic)
6718
1 T
19
97
GU
2333
38, G
U23
3409
Cort
ina
riu
s ge
mm
eus
(in
dig
eno
us
end
emic
) 27
268
T
1981
N
o D
NA
iso
late
d
Cort
ina
riu
s ?
“gym
nopil
oid
es”
(in
dig
eno
us)
72
620*
2001
Se
qu
ence
s n
ot
pu
blic
ly a
vaila
ble
D
o n
ot
mat
ch s
equ
ence
s d
epo
site
d in
G
enb
ank
as C
. gym
nopil
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es, a
n
ap
par
entl
y u
np
ub
lish
ed n
ame
Cort
ina
riu
s ig
notu
s (i
nd
igen
ou
s en
dem
ic)
2726
4 T
19
81
No
DN
A is
ola
ted
Cort
ina
riu
s lu
bri
can
esce
ns
(in
dig
eno
us
end
emic
) 71
006
T
1997
N
o D
NA
iso
late
d
Cort
ina
riu
s m
arm
ora
tus
(in
dig
eno
us
end
emic
) 27
262
T
1968
G
U23
3330
Cort
ina
riu
s m
elea
gris
(in
dig
eno
us)
72
781*
2001
H
M06
0324
, HM
0603
23
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mm
on
co
ntr
ol s
pec
ies
(see
Met
ho
ds)
Cort
ina
riu
s m
elim
yxa
(in
dig
eno
us
end
emic
) 27
267
T
1969
C
on
tam
inat
ing
DN
A
Cort
ina
riu
s m
inosc
au
rus
(in
dig
eno
us
end
emic
) 71
005
T
1999
G
U23
3349
, GU
2333
77
Cort
ina
riu
s n
aph
tha
lin
us
(in
dig
eno
us
end
emic
) 70
505
T
1999
G
U23
3344
, GU
2334
01
Cort
ina
riu
s olo
rin
atu
s (i
nd
igen
ou
s en
dem
ic)
2725
5 T
19
81
No
DN
A is
ola
ted
Cort
ina
riu
s olo
rin
atu
s (i
nd
igen
ou
s en
dem
ic)
7275
3*
20
01
HM
0603
30, H
M06
0331
Cort
ina
riu
s pa
pa
ver
(in
dig
eno
us
no
n-e
nd
emic
) 71
003
T
1999
G
U23
3347
, GU
2333
99
Cort
ina
riu
s pa
pa
ver
(in
dig
eno
us
no
n-e
nd
emic
) 94
350
20
08
GU
2333
75, G
U23
3426
O
rigi
nal
ly id
enti
fied
as
Cort
ina
riu
s
cr
am
esin
a
Cort
ina
riu
s per
eleg
an
s (i
nd
igen
ou
s en
dem
ic)
7050
0 T
19
99
GU
2333
41, G
U23
3398
Cort
ina
riu
s per
icly
men
us
(in
dig
eno
us
end
emic
) 71
008
T
1999
G
U23
3351
, GU
2333
79
Cort
ina
riu
s per
sica
nu
s (i
nd
igen
ou
s n
on
-en
dem
ic)
7050
7 T
19
99
GU
2333
45, G
U23
3392
Cort
ina
riu
s ph
aeo
chlo
rus
(in
dig
eno
us
end
emic
) 27
265
T
1981
N
o D
NA
iso
late
d
Cort
ina
riu
s ph
oli
ote
llu
s (i
nd
igen
ou
s en
dem
ic)
6847
0 T
20
08
Co
nta
min
atin
g D
NA
Cort
ina
riu
s pic
oid
es (
ind
igen
ou
s en
dem
ic)
7050
1 T
19
99
GU
2333
42
Cort
ina
riu
s pic
oid
es (
ind
igen
ou
s en
dem
ic)
9401
9
2008
G
U23
3371
, GU
2334
24
Cort
ina
riu
s porp
hyr
oph
aeu
s (i
nd
igen
ou
s en
dem
ic)
2726
3 T
19
81
GU
2333
31, G
U23
3416
Cort
ina
riu
s ra
ttin
us
(in
dig
eno
us
end
emic
) 71
009
T
1999
G
U23
3352
, GU
2334
19
Cort
ina
riu
s ro
tun
dis
poru
s (i
nd
igen
ou
s n
on
-en
dem
ic)
7261
1*
20
01
HM
0603
17, H
M06
0316
C
om
mo
n c
on
tro
l sp
ecie
s (s
ee M
eth
od
s)
Cort
ina
riu
s sa
turn
ioru
m (
ind
igen
ou
s en
dem
ic)
6717
6 T
19
97
GU
2333
37, G
U23
3388
Cort
ina
riu
s si
na
pic
olo
r (i
nd
igen
ou
s n
on
-en
dem
ic)
7270
0*
20
01
HM
0603
28, H
M06
0329
Cort
ina
riu
s si
na
pic
olo
r (i
nd
igen
ou
s n
on
-en
dem
ic)
9417
7
2008
G
U23
3373
, GU
2333
96
Ori
gin
ally
iden
tifi
ed a
s C
ort
ina
riu
s
ig
notu
s
Cort
ina
riu
s sp
. “ba
dio
hep
ati
cus”
ined
. (in
dig
eno
us)
72
785*
2001
Se
qu
ence
s n
ot
pu
blic
ly a
vaila
ble
U
np
ub
lish
ed h
erb
ariu
m n
ame
for
an
u
nd
escr
ibed
sp
ecie
s
Cort
ina
riu
s sp
. “ba
sifi
bri
llosu
s” in
ed.
7279
4*
20
01
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Un
pu
blis
hed
her
bar
ium
nam
e fo
r an
(in
dig
eno
us
end
emic
)
u
nd
escr
ibed
sp
ecie
s
Con
tin
ued
nex
t pa
ge*
DN
A f
rom
tis
sue
sam
ple
sto
red
in C
TA
B b
uff
er.
22 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
SPe
CIe
S (B
IOST
AT
US)
P
DD
H
OL
OT
yP
e
ye
AR
t-
RF
LP
, IT
S, L
SU D
AT
A G
eN
eR
AT
eD
N
OT
eS
C
OL
Le
CT
eD
(W
ITH
Ge
NB
AN
K A
CC
eSS
ION
NU
MB
eR
S)
Cort
ina
riu
s sp
. “cu
cum
eris
” in
ed. (
ind
igen
ou
s)
7268
7*
20
01
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Un
pu
blis
hed
her
bar
ium
nam
e fo
r an
u
nd
escr
ibed
sp
ecie
s; s
om
etim
es r
efer
red
to
usi
ng
ano
ther
un
pu
blis
hed
nam
e,
M
yxa
ciu
m c
ucu
mer
is
Cort
ina
riu
s sp
. 75
709
20
02
GU
2333
59, G
U23
3402
O
rigi
nal
ly id
enti
fied
as
Cort
ina
riu
s
vi
scost
ria
tus
Cort
ina
riu
s sp
. 94
202
20
08
GU
2333
74, G
U23
3411
O
rigi
nal
ly id
enti
fied
as
Cort
ina
riu
s
le
pto
sper
moru
m
Cort
ina
riu
s sp
. 94
351
20
08
GU
2333
76, G
U23
3422
O
rigi
nal
ly id
enti
fied
as
Cort
ina
riu
s
ch
rysm
a
Cort
ina
riu
s sp
. no
v. (
fid
e So
op
, per
s. c
om
m.)
94
011
20
08
GU
2333
69, G
U23
3404
O
rigi
nal
ly id
enti
fied
as
Cort
ina
riu
s cf
.
ge
mm
eus
Cort
ina
riu
s sp
. no
v. (
fid
e So
op
, per
s. c
om
m.)
94
024
20
08
GU
2333
72, G
U23
3405
O
rigi
nal
ly id
enti
fied
as
Cort
ina
riu
s cf
.
m
elim
yxa
Cort
ina
riu
s ve
ron
ica
e va
r. d
ilu
tus
7131
4
2000
G
U23
3354
, GU
2334
00
Ori
gin
ally
iden
tifi
ed a
s C
. cin
na
ba
rin
us,
(in
dig
eno
us
end
emic
)
a
spec
ies
do
ub
tfu
lly p
rese
nt
in N
Z
Cort
ina
riu
s vi
scil
aet
us
(in
dig
eno
us
end
emic
) 71
010
T
1997
G
U23
3353
, GU
2333
78
Cort
ina
riu
s vi
scost
ria
tus
(in
dig
eno
us
end
emic
) 27
272
T
1968
G
U23
3335
Cort
ina
riu
s vi
scovi
ridis
(in
dig
eno
us
end
emic
) 27
257
T
1969
C
on
tam
inat
ing
DN
A
Cort
ina
riu
s vi
scovi
ridis
(in
dig
eno
us
end
emic
)?
8884
2
2006
G
U23
3390
D
ou
btf
ully
au
then
tic
for
this
nam
e
Cort
ina
riu
s vi
treo
pil
eatu
s (i
nd
igen
ou
s en
dem
ic)
2727
1 T
19
81
GU
2333
34, G
U23
3397
Cort
ina
riu
s vi
treo
pil
eatu
s (i
nd
igen
ou
s en
dem
ic)
7527
5
2004
G
U23
3357
, GU
2334
03
Ori
gin
ally
iden
tifi
ed a
s C
ort
ina
riu
s
a
egro
tus
Der
mocy
be
ali
ena
ta
2718
0 T
19
69
GU
2333
23, G
U23
3384
Der
mocy
be
au
ran
tiel
la (
ind
igen
ou
s en
dem
ic)
2717
6 T
19
68
Co
nta
min
atin
g D
NA
Der
mocy
be
card
ina
lis
(in
dig
eno
us
end
emic
) 27
174
T
1968
G
U23
3321
, GU
2334
15
Der
mocy
be
card
ina
lis
(in
dig
eno
us
end
emic
) 84
245
19
70
No
DN
A is
ola
ted
Der
mocy
be
card
ina
lis
(in
dig
eno
us
end
emic
) 32
252
19
74
GU
2333
36, G
U23
3414
Der
mocy
be
card
ina
lis
(in
dig
eno
us
end
emic
) 92
390
20
07
GU
2333
68, G
U23
3418
Der
mocy
be
cra
mes
ina
(in
dig
eno
us
no
n-e
nd
emic
) 27
173
T
1968
G
U23
3320
, GU
2334
20
Der
mocy
be
egm
on
tia
na
(in
dig
eno
us
end
emic
) 27
177
T
1968
G
U23
3322
Der
mocy
be
icte
rin
oid
es (
ind
igen
ou
s en
dem
ic)
2718
4 T
19
68
GU
2333
26
Der
mocy
be
larg
ofu
lgen
s (i
nd
igen
ou
s en
dem
ic)
2718
1 T
19
69
GU
2333
24
Der
mocy
be
lepto
sper
moru
m (
ind
igen
ou
s en
dem
ic)
2718
3 T
19
69
GU
2333
25, G
U23
3395
Der
mocy
be
pu
rpu
rata
(in
dig
eno
us
end
emic
) 27
171
T
1968
C
on
tam
inat
ing
DN
A
Der
mocy
be
sple
ndid
a (
ind
igen
ou
s n
on
-en
dem
ic)
2716
8 T
19
69
GU
2333
19, G
U23
3387
Inocy
be
cere
a (
ind
igen
ou
s en
dem
ic)
2712
2 T
19
69
Co
nta
min
atin
g D
NA
Appen
dix
1 c
on
tin
ued
* D
NA
fro
m t
issu
e sa
mp
le s
tore
d in
CT
AB
bu
ffer
.C
on
tin
ued
nex
t pa
ge
23Science for Conservation 306
SPe
CIe
S (B
IOST
AT
US)
P
DD
H
OL
OT
yP
e
ye
AR
t-
RF
LP
, IT
S, L
SU D
AT
A G
eN
eR
AT
eD
N
OT
eS
C
OL
Le
CT
eD
(W
ITH
Ge
NB
AN
K A
CC
eSS
ION
NU
MB
eR
S)
Inocy
be
des
tru
ens
(in
dig
eno
us
end
emic
) 27
124
T
1968
C
on
tam
inat
ing
DN
A
Inocy
be
des
tru
ens
(in
dig
eno
us
end
emic
)?
8048
0
2003
G
U23
3361
, GU
2333
80
Do
ub
tfu
lly a
uth
enti
c fo
r th
is n
ame
Inocy
be
late
rici
a (
ind
igen
ou
s n
on
-en
dem
ic)
2712
0 T
19
69
Co
nta
min
atin
g D
NA
Inocy
be
late
rici
a (
ind
igen
ou
s n
on
-en
dem
ic)?
92
382
20
07
GU
2333
67, G
U23
3413
D
ou
btf
ully
au
then
tic
for
this
nam
e
Inocy
be
lute
obu
lbosa
var
. lu
teobu
lbosa
72
618*
2001
H
M06
0318
C
om
mo
n c
on
tro
l sp
ecie
s (s
ee M
eth
od
s)
(In
dig
eno
us
end
emic
)
Inocy
be
lute
obu
lbosa
var
. volv
ata
(in
dig
eno
us
end
emic
) 27
130
T
1968
N
o D
NA
iso
late
d
Inocy
be
men
dic
a (
ind
igen
ou
s en
dem
ic)
2712
5 T
19
68
Co
nta
min
atin
g D
NA
Inocy
be
ph
aeo
squ
arr
osa
(in
dig
eno
us
end
emic
) 27
126
T
1969
C
on
tam
inat
ing
DN
A
Inocy
be
ren
ispora
(in
dig
eno
us
end
emic
) 27
119
T
1968
C
on
tam
inat
ing
DN
A
Inocy
be
sca
bri
usc
ula
(in
dig
eno
us
end
emic
) 27
127
T
1968
C
on
tam
inat
ing
DN
A
Inocy
be
sca
bri
usc
ula
(in
dig
eno
us
end
emic
) 88
624
20
06
GU
2333
65 ,
GU
2334
25
Inocy
be
sp. 1
(in
dig
eno
us
end
emic
) 72
523
20
01
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Inocy
be
sp. 2
(in
dig
eno
us
end
emic
) 71
143
20
00
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Inocy
be
sp. 3
(in
dig
eno
us
end
emic
) 72
818
20
01
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Inocy
be
sp. 4
(in
dig
eno
us
end
emic
) 72
707
20
01
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Inocy
be
sp. 5
(in
dig
eno
us
end
emic
) 71
150
20
00
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Inocy
be
sp. 6
(in
dig
eno
us
end
emic
) 71
166
20
00
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Inocy
be
sp
. 7 (
ind
igen
ou
s en
dem
ic)
7130
6
2000
Se
qu
ence
s n
ot
pu
blic
ly a
vaila
ble
Inocy
be
sp. 8
(in
dig
eno
us
end
emic
) 72
729
20
01
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Inocy
be
sp. 9
(in
dig
eno
us
end
emic
) 72
522
20
01
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Inocy
be
sp. 1
0 (i
nd
igen
ou
s n
on
-en
dem
ic)
7261
9*
20
01
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Inocy
be
sp. 1
1 (i
nd
igen
ou
s en
dem
ic)
8281
8
2005
Se
qu
ence
s n
ot
pu
blic
ly a
vaila
ble
Inocy
be
sp
. 12
(in
dig
eno
us
end
emic
) 71
267
20
00
Seq
uen
ces
no
t p
ub
licly
ava
ilab
le
Inocy
be
stro
bil
om
yces
(in
dig
eno
us
end
emic
) 72
683*
2001
H
M06
0322
, HM
0603
21
Co
mm
on
co
ntr
ol s
pec
ies
(see
Met
ho
ds)
Inocy
be
um
bro
sa
2713
1 T
19
68
Co
nta
min
atin
g D
NA
Inocy
be
um
bro
sa (
ind
igen
ou
s en
dem
ic)
7252
1
2001
G
U23
3355
Ph
aeo
collyb
ia lon
gipes
(in
dig
eno
us
end
emic
) 27
100
T
1968
N
o D
NA
iso
late
d
Ph
aeo
collyb
ia m
inu
ta (
ind
igen
ou
s en
dem
ic)
2709
9 T
19
69
Co
nta
min
atin
g D
NA
Ru
ssu
la p
udori
na
(in
dig
eno
us
end
emic
) 26
574
T
1967
C
on
tam
inat
ing
DN
A
Tyl
opil
us
form
osu
s (i
nd
igen
ou
s n
on
-en
dem
ic)
7263
7*
20
01
HM
0603
20, H
M06
0319
C
om
mo
n c
on
tro
l sp
ecie
s (s
ee M
eth
od
s)
Appen
dix
1 c
on
tin
ued
* D
NA
fro
m t
issu
e sa
mp
le s
tore
d in
CT
AB
bu
ffer
.
24 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
Appendix 2
A L L S P e C I e S R e V I e W e D I N T H I S P R O J e C T W I T H N O T e S O N R e C O M M e N D e D C H A N G e S T O S T A T U S ( I F A N y )
25Science for Conservation 306
SPe
CIe
S D
NA
DA
TA
Ge
Ne
RA
Te
D?
NO
Te
S
Ast
rosp
ori
na
aeq
ua
lis
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; ret
ain
Ast
rosp
ori
na
am
ygda
lin
a (
ind
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d
Ast
rosp
ori
na
ave
lla
na
(in
dig
eno
us
no
n-e
nd
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; man
y re
cen
t co
llect
ion
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Ast
rosp
ori
na
gra
veole
ns
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; sev
eral
rec
ent
colle
ctio
ns,
bu
t m
ust
be
som
e d
ou
bt
ove
r th
eir
iden
tity
;
reta
in o
n li
st
Ast
rosp
ori
na
lep
tosp
erm
i (i
nd
igen
ou
s en
dem
ic)
Se
vera
l co
llect
ion
s re
ferr
ed t
o t
his
sp
ecie
s, b
ut
do
ub
t ab
ou
t so
me
of
the
iden
tifi
cati
on
s, r
etai
n o
n li
st
Ast
rosp
ori
na
ma
nu
ka
nea
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
Ast
rosp
ori
na
pa
race
rasp
hora
(in
dig
eno
us
no
n-e
nd
emic
)
Ret
ain
Ast
rosp
ori
na
str
am
inea
(in
dig
eno
us
end
emic
)
Ret
ain
Ast
rosp
ori
na
su
bcl
ava
ta (
ind
igen
ou
s en
dem
ic)
y
No
tR
FLP
mat
ches
; few
co
llect
ion
s, a
ll co
llect
ion
s in
Nel
son
Dis
tric
t; r
etai
n
Ast
rosp
ori
na
vis
cata
(in
dig
eno
us
end
emic
)
Ret
ain
Bole
tellu
s a
na
na
s (e
xo
tic)
exo
tic;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Bole
tus
nova
e-ze
lan
dia
e (i
nd
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d
Ca
locy
be
on
ych
ina
(in
dig
eno
us
no
n-e
nd
emic
)
Un
pu
blis
hed
info
rmal
her
bar
ium
nam
e; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Ca
locy
be
rea
dia
e (i
nd
igen
ou
s en
dem
ic)
U
np
ub
lish
ed in
form
al h
erb
ariu
m n
ame;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Ca
ma
roph
yllu
s ca
nu
s (i
nd
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d f
rom
typ
e; s
om
e fr
om
a P
at L
eon
ard
co
llect
ion
iden
tifi
ed a
s th
is s
pec
ies,
bu
t in
str
ange
pla
ce o
n I
TS
tree
Ca
ma
roph
yllu
s del
ica
tus
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
Ca
ma
roph
yllu
s gr
iseo
rufe
scen
s (i
nd
igen
ou
s en
dem
ic)
y
No
tR
FLP
mat
ches
; bo
th c
olle
ctio
ns
fro
m A
K
Ca
ma
roph
yllu
s im
pu
rus
(in
dig
eno
us
end
emic
) y
N
o t
RFL
P m
atch
es; f
ou
r w
ides
pre
ad c
olle
ctio
ns
in N
an
d S
Isl
and
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Ca
ma
roph
yllu
s pa
tin
icolo
r (i
nd
igen
ou
s en
dem
ic)
A
no
ther
rec
ent
AK
co
llect
ion
, no
w f
ive
in P
DD
; rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Cla
vari
a m
usc
ulo
spin
osa
(in
dig
eno
us
end
emic
)
Per
hap
s o
nly
th
ree
auth
enti
cally
iden
tifi
ed c
olle
ctio
ns;
ret
ain
Cla
vari
a p
hoen
icea
var
. per
sici
na
(in
dig
eno
us
no
n-e
nd
emic
)
Fou
r co
llect
ion
s, b
ut
per
hap
s d
ou
bt
ove
r ac
cura
cy o
f so
me
iden
tifi
cati
on
s; r
etai
n
Cla
vuli
na
alu
tace
osi
cces
cen
s (i
nd
igen
ou
s en
dem
ic)
R
etai
n
Cla
vuli
na
bru
nn
eoci
ner
ea (
Ind
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Cla
vuli
na
copio
socy
stid
iata
(in
dig
eno
us
end
emic
)
Ret
ain
Cla
vuli
na
cri
sta
ta v
ar. z
eala
ndic
a (
ind
igen
ou
s en
dem
ic)
N
ow
th
ree
po
ssib
le c
olle
ctio
ns;
ret
ain
Cla
vuli
na
geo
gloss
oid
es (
ind
igen
ou
s n
on
-en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Cla
vuli
na
hu
mil
is (
ind
igen
ou
s n
on
-en
dem
ic)
R
etai
n
Cla
vuli
na
lev
eillei
var
. a
tric
ha
(in
dig
eno
us
no
n-e
nd
emic
)
Ret
ain
Cla
vuli
na
pu
rpu
rea
(in
dig
eno
us
end
emic
)
Ret
ain
Cla
vuli
na
sa
mu
elsi
i (i
nd
igen
ou
s en
dem
ic)
Se
vera
l rec
ent
colle
ctio
ns,
bu
t d
ou
bt
ove
r id
enti
ty o
f so
me;
ret
ain
Cla
vuli
na
sep
tocy
stid
iata
(in
dig
eno
us
end
emic
)
Ret
ain
Cla
vuli
na
urn
iger
oba
sidia
ta (
ind
igen
ou
s en
dem
ic)
R
etai
n
Cort
ina
riu
s a
egro
tus
(in
dig
eno
us
end
emic
) y
N
um
ero
us
t-R
FLP
mat
ches
; als
o a
no
ther
DN
A-b
ased
mat
ch; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s a
eru
gin
eoco
nic
us
(in
dig
eno
us
end
emic
) y
So
me
un
cert
ain
t-R
FLP
mat
ches
Cort
ina
riu
s a
na
uen
sis
(in
dig
eno
us
end
emic
) y
N
um
ero
us
t-R
FLP
mat
ches
, do
ub
tfu
lly d
isti
nct
fro
m C
. ma
rmora
tus;
ret
ain
un
til t
axo
no
my
reso
lved
Con
tin
ued
nex
t pa
ge
26 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
SPe
CIe
S D
NA
DA
TA
Ge
Ne
RA
Te
D?
NO
Te
S
Cort
ina
riu
s a
ura
nti
ofe
rreu
s (i
nd
igen
ou
s en
dem
ic)
N
ow
fiv
e w
ides
pre
ad c
olle
ctio
ns
fro
m b
oth
N a
nd
S I
slan
ds;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s a
ust
rocy
an
ites
(in
dig
eno
us
no
n-e
nd
emic
) y
O
ne
ten
tati
ve t
-RFL
P m
atch
; now
four
col
lect
ion
s w
ides
pre
ad in
S I
slan
d; r
emo
ve f
rom
Dat
a D
efic
ien
t ca
tego
ry
Cort
ina
riu
s bel
lus
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; man
y re
cen
t co
llect
ion
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s ca
rbon
ellu
s (i
nd
igen
ou
s en
dem
ic)
y
Som
e d
ou
btf
ul t
-RFL
P m
atch
es; r
etai
n
Cort
ina
riu
s ca
ryoti
s (i
nd
igen
ou
s en
dem
ic)
y
Ten
tati
ve t
RFL
P m
atch
es, b
ut
per
hap
s n
ot
un
iqu
e; r
ecen
t co
llect
ion
s fr
om
Tau
po
(p
revi
ou
sly
mis
iden
tifi
ed, r
edet
erm
ined
on
th
e b
asis
of
DN
A)
and
Gis
bo
rne;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry,
mo
re t
han
fo
ur
colle
ctio
ns,
fro
m s
ever
al C
rosb
y d
istr
icts
Cort
ina
riu
s ca
sta
nei
ceps
(in
dig
eno
us
end
emic
) y
N
o t
RFL
P m
atch
es; k
no
wn
on
ly f
rom
nea
r th
e su
mm
it o
f H
autu
ru/L
ittl
e B
arri
er I
slan
d
Cort
ina
riu
s ch
rysm
a (
ind
igen
ou
s en
dem
ic)
y
Der
mocy
be
ali
ena
ta a
nd
C. c
hry
sma
wit
h s
ame
tRFL
P, m
any
mat
ches
to
th
is; C
. ch
rysm
a a
lso
mat
ches
P
DD
727
67 (
TO
) o
n b
asis
of
DN
A c
om
par
iso
n, w
ith
at
leas
t th
ree
oth
er c
olle
ctio
ns
in P
DD
, an
d S
oo
p (
2006
)
n
ote
d a
s co
mm
on
; rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s co
llyb
ian
us
(in
dig
eno
us
end
emic
) y
O
ne
tRFL
P m
atch
, sev
eral
rec
ent
colle
ctio
ns;
So
op
(20
06)
con
sid
ered
it c
om
mo
n; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry; P
DD
727
18 id
enti
fied
by
Ho
rak
as C
. collyb
ian
us
is s
om
eth
ing
else
; PD
D 8
9033
,
id
enti
fied
(in
corr
ectl
y?)
as C
. ver
on
ica
e m
atch
es b
y t-
RFL
P
Cort
ina
riu
s cr
emeo
lin
us
(in
dig
eno
us
end
emic
)
Nu
mer
ou
s re
cen
t co
llect
ion
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s cu
cum
eris
(in
dig
eno
us
end
emic
) y
U
np
ub
lish
ed in
form
al h
erb
ariu
m n
ame
(so
met
imes
ref
erre
d t
o a
s M
yxa
ciu
m c
ucm
eris
, an
oth
er
info
rmal
, un
pu
blis
hed
nam
e); s
ever
al d
ou
btf
ul t
-RFL
P m
atch
es; s
ever
al r
ecen
t co
llect
ion
s fr
om
man
y
regi
on
s h
ave
bee
n t
agge
d w
ith
th
is n
ame;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s cu
pre
on
atu
s (i
nd
igen
ou
s en
dem
ic)
y
No
au
then
tic
DN
A, n
o t
RFL
P m
atch
es, b
ut
Soo
p (
per
s. c
om
m.)
iden
tifi
ed t
wo
ad
dit
ion
al H
ora
k sp
ecim
ens
(ex
TO
, GB
); a
no
ther
nin
e co
llect
ion
s in
PD
D; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s cy
cneu
s (i
nd
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s dys
odes
(in
dig
eno
us
end
emic
) y
N
o t
-RFL
P m
atch
es; o
nly
tw
o a
uth
enti
c co
llect
ion
s; r
etai
n
Cort
ina
riu
s ex
lugu
bri
s (i
nd
igen
ou
s en
dem
ic)
y
Som
e d
ou
btf
ul t
RFL
P m
atch
es; o
nly
on
e au
then
tic
colle
ctio
n in
PD
D
Cort
ina
riu
s ge
mm
eus
(in
dig
eno
us
end
emic
)
No
au
then
tic
DN
A; a
Cort
ina
riu
s cf
. gem
meu
s co
llect
ion
rep
rese
nts
a d
isti
nct
, un
des
crib
ed s
pec
ies
Cort
ina
riu
s ig
notu
s (i
nd
igen
ou
s en
dem
ic)
D
NA
do
ub
tfu
lly a
uth
enti
c (g
ot
no
ne
fro
m t
he
typ
e); r
etai
n
Cort
ina
riu
s in
doli
cus
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; man
y re
cen
t co
llect
ion
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s lu
bri
can
esce
ns
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; bu
t n
ow
fiv
e co
llect
ion
s in
PD
D w
ides
pre
ad t
hro
ugh
S I
slan
d; r
emo
ve
fr
om
Dat
a D
efic
ien
t ca
tego
ry
Cort
ina
riu
s m
arm
ora
tus
(in
dig
eno
us
end
emic
) y
N
um
ero
us
t-R
FLP
mat
ches
, bu
t d
ou
btf
ully
dis
tin
ct f
rom
C. a
na
uen
sis;
ret
ain
un
til t
axo
no
my
reso
lved
Cort
ina
riu
s m
elim
yxa
(in
dig
eno
us
end
emic
)
No
au
then
tic
DN
A (
a C
ort
ina
riu
s cf
. mel
imyx
a c
olle
ctio
n r
epre
sen
ts a
n u
nd
escr
ibed
sp
ecie
s)
Cort
ina
riu
s m
inosc
au
rus
(in
dig
eno
us
end
emic
) y
N
o t
-RFL
P m
atch
es; p
erh
aps
mo
ve
to h
igh
er t
hre
at c
ateg
ory
Cort
ina
riu
s n
aph
tha
lin
us
(in
dig
eno
us
end
emic
) y
N
o t
-RFL
P m
atch
es; s
ingl
e co
llect
ion
; ret
ain
Cort
ina
riu
s olo
rin
atu
s (i
nd
igen
ou
s en
dem
ic)
y
DN
A n
ot
succ
essf
ully
am
plif
ied
fro
m T
ype,
bu
t so
me
fro
m a
sp
ecim
en id
enti
fied
as
this
by
Ho
rak
(no
t
yet
in P
DD
); n
o t
RFL
P m
atch
es; s
ever
al c
olle
ctio
ns
in P
DD
bu
t so
me
do
ub
tfu
l id
enti
fica
tio
ns;
ret
ain
Cort
ina
riu
s pa
pa
ver
(in
dig
eno
us
no
n-e
nd
emic
) y
N
o t
-RFL
P m
atch
es; o
ne
add
itio
nal
co
llect
ion
fro
m A
K (
red
eter
min
atio
n b
ased
on
DN
A c
om
par
iso
n);
ret
ain
Cort
ina
riu
s per
au
reu
s (i
nd
igen
ou
s en
dem
ic)
N
o a
uth
enti
c D
NA
; man
y re
cen
t co
llect
ion
s (i
ncl
ud
ing
on
ex
Ho
rak
iden
tifi
ed b
y So
op
, per
s. c
om
m.)
;
re
mo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s per
eleg
an
s (i
nd
igen
ou
s en
dem
ic)
y
On
e te
nta
tive
tR
FLP
mat
ch; S
oo
p (
2006
) n
ote
d a
s ‘f
airl
y co
mm
on
’, b
ut
few
au
then
tica
lly id
enti
fied
co
llect
ion
s in
PD
D; r
etai
n o
n li
st
Appen
dix
2 c
on
tin
ued
Con
tin
ued
nex
t pa
ge
27Science for Conservation 306
SPe
CIe
S D
NA
DA
TA
Ge
Ne
RA
Te
D?
NO
Te
S
Cort
ina
riu
s per
icly
men
us
(in
dig
eno
us
end
emic
) y
N
o t
-RFL
P m
atch
es; S
oo
p (
2006
) n
ote
d a
s ‘f
airl
y co
mm
on
’ bu
t o
nly
tw
o c
olle
ctio
ns
in P
DD
; ret
ain
Cort
ina
riu
s per
sica
nu
s (i
nd
igen
ou
s n
on
-en
dem
ic)
y
Seve
ral t
-RFL
P m
atch
es, b
ut
cou
ld b
e o
ne
of
seve
ral s
pec
ies;
on
ly t
wo
co
llect
ion
s P
DD
; ret
ain
Cort
ina
riu
s ph
aeo
chlo
rus
(in
dig
eno
us
end
emic
)
Sin
gle
AK
co
llect
ion
Cort
ina
riu
s ph
oli
ote
llu
s (i
nd
igen
ou
s en
dem
ic)
T
wo
co
llect
ion
s fr
om
a s
ingl
e lo
calit
y; p
erh
aps
mo
ve
to h
igh
er t
hre
at s
tatu
s
Cort
ina
riu
s pic
oid
es (
ind
igen
ou
s en
dem
ic)
y
Tw
o p
oss
ible
t-R
FLP
mat
ches
, an
oth
er D
NA
mat
ch t
o t
wo
Tau
po
sp
ecim
ens,
to
geth
er w
ith
fo
ur
oth
er
Sou
th I
slan
d c
olle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s porp
hyr
oph
aeu
s (i
nd
igen
ou
s en
dem
ic)
y
On
e d
ou
btf
ul t
-RFL
P m
atch
; kn
ow
n f
rom
tw
o f
ar-a
par
t C
rosb
y D
istr
icts
; few
au
then
tica
lly id
enti
fied
co
llect
ion
s; r
etai
n f
or
no
w
Cort
ina
riu
s ra
ttin
us
(In
dig
eno
us
end
emic
) y
N
o t
-RFL
P m
atch
es; a
sin
gle
auth
enti
c co
llect
ion
; ret
ain
Cort
ina
riu
s ro
tun
dis
poru
s su
bsp
. noth
ofa
gi (
ind
igen
ou
s en
dem
ic)
N
ow
cal
led
C. t
essi
ae;
sev
en c
olle
ctio
ns
in P
DD
; So
op
(20
06)
rega
rded
as
com
mo
n; r
emo
ve
fro
m D
ata
D
efic
ien
t ca
tego
ry
Cort
ina
riu
s sa
turn
ioru
m (
ind
igen
ou
s en
dem
ic)
y
Seve
ral t
-RFL
P m
atch
es, b
ut
can
no
t d
isti
ngu
ish
Der
mocy
be
larg
ofu
lgen
s an
d C
. sa
turn
ioru
m; n
ow
fiv
e
co
llect
ion
s in
PD
D; r
emo
ve
C. s
atu
rnio
rum
fro
m D
ata
Def
icie
nt
cate
go
ry a
nd
leav
e D
. la
rgofu
lgen
s
(t
he
Typ
e, f
rom
AK
, is
the
on
ly k
no
wn
sp
ecim
en)
Cort
ina
riu
s si
na
pic
olo
r (i
nd
igen
ou
s n
on
-en
dem
ic)
y
On
e co
llect
ion
iden
tifi
ed b
y H
ora
k, D
NA
mat
ches
an
oth
er c
olle
ctio
n m
isid
enti
fied
as
C. i
gnotu
s;
no
t-R
FLP
mat
ches
; ret
ain
Cort
ina
riu
s ta
ylori
an
us
(in
dig
eno
us
end
emic
)
Six
colle
ctio
ns fr
om N
and
S Is
land
s, S
oop
(20
06)
tage
d as
‘fai
rly
com
mon
’; re
mo
ve f
rom
Dat
a D
efic
ien
t ca
tego
ry
Cort
ina
riu
s u
rsu
s (i
nd
igen
ou
s en
dem
ic)
Se
vera
l rec
ent
colle
ctio
ns,
bu
t fe
w id
enti
fied
by
Soo
p; S
oo
p (
2006
) re
gard
ed a
s ra
re; r
etai
n f
or
mea
nti
me
Cort
ina
riu
s ve
ron
ica
e (i
nd
igen
ou
s n
on
-en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Cort
ina
riu
s vi
scil
aet
us
(in
dig
eno
us
end
emic
) y
O
ne
do
ub
tfu
l tFR
LP m
atch
; ret
ain
Cort
ina
riu
s vi
scost
ria
tus
(in
dig
eno
us
end
emic
) y
N
o t
-RFL
P m
atch
; no
w t
wo
co
llect
ion
s; r
etai
n
Cort
ina
riu
s vi
scovi
ridis
(in
dig
eno
us
end
emic
)
Do
ub
tfu
l th
at D
NA
is a
uth
enti
c; n
o t
RFL
P m
atch
es; f
ew r
elia
bly
iden
tifi
ed c
olle
ctio
ns;
ret
ain
Cort
ina
riu
s vi
treo
pil
eatu
s (i
nd
igen
ou
s en
dem
ic)
y
On
e t-
RFL
P m
atch
; sev
eral
rec
ent
colle
ctio
ns,
an
oth
er m
isid
enti
fica
tio
n r
evea
led
by
DN
A s
equ
ence
s;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Der
mocy
be
ali
ena
ta (
ind
igen
ou
s en
dem
ic)
y
Der
mocy
be
ali
ena
ta a
nd
Cort
ina
riu
s ch
rysm
a w
ith
sam
e t-R
FLP
; man
y m
atch
es t
o t
his
; D. a
lien
ata
fro
m
six
co
llect
ion
s fr
om
fiv
e C
rosb
y D
istr
icts
; rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Der
mocy
be
au
ran
tiel
la (
ind
igen
ou
s en
dem
ic)
T
wo
co
llect
ion
s, a
uth
enti
city
of
on
e is
do
ub
tfu
l; re
tain
Der
mocy
be
au
rata
(in
dig
eno
us)
Un
pu
blis
hed
info
rmal
her
bar
ium
nam
e; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Der
mocy
be
card
ina
lis
(in
dig
eno
us
end
emic
) y
N
o t
-RFL
P m
atch
es, b
ut
oth
er D
NA
co
mp
aris
on
s re
veal
sev
eral
rec
ent
colle
ctio
ns,
in s
ever
al C
rosb
y
dis
tric
ts; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Der
mocy
be
cin
na
ba
rin
a (
ind
igen
ou
s n
on
-en
dem
ic)
y
Rec
ent
colle
ctio
ns
refe
rred
to
this
(eu
rop
ean
) n
ame
iden
tifie
d b
y So
op (
per
s. c
omm
.) a
s C
orti
nari
us
vero
nic
ae
var.
dil
utu
s; r
emo
ve
D. c
inn
aba
rin
a f
rom
Dat
a D
efic
ien
t ca
tego
ry; o
ccu
rren
ce in
New
Zea
lan
d u
nce
rtai
n.
Der
mocy
be
cra
mes
ina
(in
dig
eno
us
no
n-e
nd
emic
) y
N
o t
-RFL
P m
atch
es; r
etai
n
Der
mocy
be
egm
on
tia
na
(in
dig
eno
us
end
emic
) y
N
o t
-RFL
P m
atch
es; r
etai
n
Der
mocy
be
icte
rin
oid
es (
ind
igen
ou
s en
dem
ic)
y
Seve
ral d
ou
btf
ul t
-RFL
P m
atch
es; s
ingl
e co
llect
ion
in P
DD
; ret
ain
Der
mocy
be
indota
ta (
ind
igen
ou
s en
dem
ic)
Se
vera
l rec
ent
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Der
mocy
be
larg
ofu
lgen
s (i
nd
igen
ou
s en
dem
ic)
y
t-R
FLP
can
no
t d
isti
ngu
ish
D. l
arg
ofu
lgen
s an
d C
ort
ina
riu
s sa
turn
ioru
m; o
ne
add
itio
nal
D. l
arg
ofu
lgen
s
colle
ctio
n e
x T
O (
ID b
ased
on
DN
A c
om
par
iso
n o
f u
nid
enti
fied
Cort
ina
riu
s) t
o a
dd
to
th
e ty
pe
ex A
K
Der
mocy
be
lepto
sper
moru
m (
ind
igen
ou
s en
dem
ic)
y
t-R
FLP
no
t d
isti
nct
; no
ex
tra
dat
a; r
etai
n
Appen
dix
2 c
on
tin
ued
Con
tin
ued
nex
t pa
ge
28 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
SPe
CIe
S D
NA
DA
TA
Ge
Ne
RA
Te
D?
NO
Te
S
Der
mocy
be
oli
vace
on
igra
(in
dig
eno
us
end
emic
) y
Se
vera
l ten
tati
ve t
-RFL
P m
atch
es; s
ever
al r
ecen
t co
llect
ion
s fr
om
No
rth
an
d S
ou
th I
slan
ds;
rem
ove
fro
m
Dat
a D
efic
ien
t ca
tego
ry
Der
mocy
be
pu
rpu
rata
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
bu
t n
ow
fo
ur
colle
ctio
ns
wid
esp
read
aro
un
d N
ew Z
eala
nd
; re
mo
ve
fro
m
Dat
a D
efic
ien
t ca
tego
ry
Der
mocy
be
sple
ndid
a (
ind
igen
ou
s n
on
-en
dem
ic)
y
Seve
ral t
-RFL
P m
atch
es b
ut
no
t u
niq
ue
(D. l
arg
ofu
lgen
s th
e sa
me)
; fo
ur
colle
ctio
ns,
all
in N
ort
h I
slan
d,
per
hap
s N
ort
h I
slan
d r
estr
icte
d, s
o f
urt
her
co
llect
ing
effo
rt n
eed
ed; r
etai
n
Der
mocy
be
vin
icolo
r (i
nd
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Der
mocy
be
visc
ida
(in
dig
eno
us)
Un
pu
blis
hed
info
rmal
her
bar
ium
nam
e; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Der
molo
ma
hem
isph
aer
icu
m (
ind
igen
ou
s en
dem
ic)
R
etai
n
Der
molo
ma
mu
rin
um
(in
dig
eno
us
end
emic
)
No
w t
hre
e co
llect
ion
s, d
ou
bt
abo
ut
iden
tity
of
som
e; r
etai
n
Gig
asp
erm
a c
rypti
ca (
ind
igen
ou
s en
dem
ic)
R
etai
n
Gli
oph
oru
s fu
moso
gris
eus
(in
dig
eno
us
end
emic
)
Ret
ain
Gli
oph
oru
s gr
am
inic
olo
r (i
nd
igen
ou
s n
on
-en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Gli
oph
oru
s li
laci
pes
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; man
y re
cen
t co
llect
ion
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Gli
oph
oru
s lu
teogl
uti
nosu
s (i
nd
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Gli
oph
oru
s ost
rin
us
(in
dig
eno
us
end
emic
)
On
ly t
wo
au
then
tica
lly id
enti
fied
co
llect
ion
s; r
etai
n
Gli
oph
oru
s su
bh
eter
om
orp
hu
s (i
nd
igen
ou
s n
on
-en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Gli
oph
oru
s vi
sca
ura
nti
us
(in
dig
eno
us
end
emic
)
No
w f
ive
colle
ctio
ns
in P
DD
; rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Heb
elom
a m
edio
rufu
m (
ind
igen
ou
s en
dem
ic)
M
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Hyg
rocy
be
bla
nda
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; man
y re
cen
t co
llect
ion
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Hyg
rocy
be
ceri
nolu
tea
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; man
y re
cen
t co
llect
ion
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Hyg
rocy
be
eleg
an
s (i
nd
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Hyg
rocy
be
fuli
gin
ata
(in
dig
eno
us
end
emic
)
No
w f
ive
colle
ctio
ns
in P
DD
; geo
grap
hic
ally
wid
esp
read
; rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Hyg
rocy
be
fusc
oa
ura
nti
aca
(in
dig
eno
us
end
emic
)
No
w f
ive
colle
ctio
ns
in P
DD
; rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Hyg
rocy
be
juli
eta
e (i
nd
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Hyg
rocy
be
min
iata
(in
dig
eno
us
no
n-e
nd
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; man
y re
cen
t co
llect
ion
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Hyg
rocy
be
min
icep
s (i
nd
igen
ou
s en
dem
ic)
A
t le
ast
six
co
llect
ion
s in
PD
D; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Hyg
rocy
be
stri
ato
lute
a (
ind
igen
ou
s en
dem
ic)
R
etai
n
Hyg
roph
oru
s ca
rch
ari
as
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; ret
ain
Hyg
roph
oru
s gl
ori
ae
(in
dig
eno
us
end
emic
)
Ret
ain
Hyg
roph
oru
s in
volu
tus
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; man
y re
cen
t co
llect
ion
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Hyg
roph
oru
s se
greg
atu
s (i
nd
igen
ou
s en
dem
ic)
R
etai
n
Hyg
roph
oru
s w
aik
an
aen
sis
(in
dig
eno
us
end
emic
)
Ret
ain
Hys
tera
ngi
um
neg
lect
um
(in
dig
eno
us
no
n-e
nd
emic
)
Red
eter
min
atio
n o
f th
e si
ngl
e N
Z c
olle
ctio
n, n
ow
no
evi
den
ce t
hat
th
is s
pec
ies
occ
urs
in N
Z;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry?
Hys
tera
ngi
um
ru
pti
cuti
s (e
xo
tic)
exo
tic;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Inocy
be
cere
a (
ind
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; s
ever
al c
olle
ctio
ns
bu
t d
ou
bt
abo
ut
seve
ral o
f th
e id
enti
fica
tio
ns
Appen
dix
2 c
on
tin
ued
Con
tin
ued
nex
t pa
ge
29Science for Conservation 306
SPe
CIe
S D
NA
DA
TA
Ge
Ne
RA
Te
D?
NO
Te
S
Inocy
be
des
tru
ens
(in
dig
eno
us
end
emic
)
No
au
then
tic
DN
A; o
ne
colle
ctio
n e
x C
live
Shir
ley
Inocy
be
late
rici
a (
ind
igen
ou
s n
on
-en
dem
ic)
D
NA
fro
m L
eon
ard
co
llect
ion
on
ly, d
ou
btf
ully
au
then
tic;
no
tR
FLP
cu
ttin
g si
tes;
th
ree
colle
ctio
ns
bu
t
tw
o d
ou
btf
ully
iden
tifi
ed
Inocy
be
lute
obu
lbosa
var
. lu
teobu
lbosa
(in
dig
eno
us
end
emic
) y
N
o t
-RFL
P m
atch
es; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Inocy
be
lute
obu
lbosa
var
. volv
ata
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; ret
ain
Inocy
be
men
dic
a (
ind
igen
ou
s en
dem
ic)
K
no
wn
fro
m t
ype
on
ly; r
etai
n
Inocy
be
ph
aeo
squ
arr
osa
(in
dig
eno
us
end
emic
)
Ret
ain
Inocy
be
ren
ispora
(in
dig
eno
us
end
emic
)
Ret
ain
Inocy
be
sca
bri
usc
ula
(in
dig
eno
us
end
emic
) y
N
o t
-RFL
P m
atch
es; r
etai
n
Inocy
be
um
bro
sa (
ind
igen
ou
s en
dem
ic)
y
DN
A n
ot
succ
essf
ully
am
plif
ied
fro
m T
ype,
bu
t go
od
fro
m a
no
ther
Ho
rak
spec
imen
; no
tR
FLP
mat
ches
;
so
me
do
ub
t o
ver
iden
tifi
cati
on
of
som
e co
llect
ion
s; r
etai
n
Neo
hyg
rocy
be
inn
ata
(in
dig
eno
us
end
emic
)
Ret
ain
Neo
hyg
rocy
be
squ
arr
osa
(in
dig
eno
us
end
emic
)
Ret
ain
Ph
aeo
collyb
ia lon
gipes
(in
dig
eno
us
end
emic
)
Seve
ral r
ecen
t, w
ides
pre
ad c
olle
ctio
ns,
ret
ain
fo
r n
ow
, will
pro
bab
ly b
e re
mo
ved
late
r
Ph
aeo
collyb
ia m
inu
ta (
ind
igen
ou
s en
dem
ic)
Se
vera
l rec
ent
colle
ctio
ns
bu
t d
ou
bts
ove
r id
enti
fica
tio
ns;
ret
ain
Ple
uro
collyb
ia c
rem
ea (
ind
igen
ou
s en
dem
ic)
Se
vera
l rec
ent
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Porp
olo
ma
am
yloid
eum
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
Ra
ma
ria
am
big
ua
(in
dig
eno
us
end
emic
)
Seve
ral r
ecen
t co
llect
ion
s; p
erh
aps
do
ub
t ab
ou
t id
enti
fica
tio
n; r
etai
n
Ra
ma
ria
an
zia
na
(in
dig
eno
us
end
emic
)
Ret
ain
Ra
ma
ria
gig
an
tea
f. t
enu
ispora
(in
dig
eno
us
end
emic
)
Seve
ral r
ecen
t co
llect
ion
s fr
om
No
rth
an
d S
ou
th I
slan
ds;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Ra
ma
ria
pa
nca
ribbea
(in
dig
eno
us
no
n-e
nd
emic
)
Th
ree
colle
ctio
ns,
geo
grap
hic
ally
wid
esp
read
; ret
ain
fo
r m
ean
tim
e
Ra
ma
ria
per
flu
opu
nic
ea (
ind
igen
ou
s en
dem
ic)
R
etai
n
Ra
ma
ria
pu
rpu
reopa
llid
a (
ind
igen
ou
s en
dem
ic)
Si
x P
DD
co
llect
ion
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Ra
ma
ria
rotu
ndis
pora
(in
dig
eno
us
end
emic
)
Ret
ain
Ra
ma
ria
sa
mu
elsi
i (i
nd
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Ra
ma
ria
zip
pel
ii f
. aer
ugi
nosa
(in
dig
eno
us
no
n-e
nd
emic
)
Ret
ain
Ra
ma
ria
zip
pel
ii f
. zip
pel
ii (
ind
igen
ou
s n
on
-en
dem
ic)
Se
vera
l rec
ent
PD
D c
olle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Ra
ma
riopsi
s a
gglu
tin
ata
(in
dig
eno
us
end
emic
)
Ret
ain
Ra
ma
riopsi
s a
luta
cea
(in
dig
eno
us
end
emic
)
Ret
ain
Ra
ma
riopsi
s cr
emic
olo
r (i
nd
igen
ou
s en
dem
ic)
R
etai
n
Ra
ma
riopsi
s cr
oce
a (
ind
igen
ou
s n
on
-en
dem
ic)
N
ow
th
ree
colle
ctio
ns;
ret
ain
Ra
ma
riopsi
s dep
oken
sis
f. p
ersi
cin
a (
ind
igen
ou
s en
dem
ic)
R
etai
n
Ra
ma
riopsi
s ju
nqu
ille
a (
ind
igen
ou
s en
dem
ic)
R
etai
n
Ra
ma
riopsi
s lo
ngi
pes
(in
dig
eno
us
end
emic
)
Ret
ain
Ra
ma
riopsi
s ovi
spora
(in
dig
eno
us
end
emic
)
Ret
ain
Ra
ma
riopsi
s ra
ma
rioid
es (
ind
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Rh
odocy
be
an
tipoda
(in
dig
eno
us
end
emic
)
DN
A n
ot
succ
essf
ully
am
plif
ied
; man
y re
cen
t co
llect
ion
s; r
emo
ve
fro
m D
ata
Def
icie
nt
cate
go
ry
Appen
dix
2 c
on
tin
ued
Con
tin
ued
nex
t pa
ge
30 Johnston et al.—Using molecular techniques to combine taxonomic and ecological data for fungi
SPe
CIe
S D
NA
DA
TA
Ge
Ne
RA
Te
D?
NO
Te
S
Rh
odocy
be
con
cha
ta (
ind
igen
ou
s en
dem
ic)
R
etai
n
Rh
odocy
be
din
gley
ae
(in
dig
eno
us
end
emic
)
Per
hap
s n
ow
tw
o c
olle
ctio
ns;
ret
ain
Rh
odocy
be
fuli
gin
ea (
ind
igen
ou
s n
on
-en
dem
ic)
R
etai
n
Rh
odocy
be
pip
erit
a (
exo
tic)
exo
tic;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Ru
ssu
la m
ult
icys
tidia
ta (
ind
igen
ou
s en
dem
ic)
D
NA
no
t su
cces
sfu
lly a
mp
lifie
d; m
any
rece
nt
colle
ctio
ns;
rem
ove
fro
m D
ata
Def
icie
nt
cate
go
ry
Th
axt
eroga
ster
vio
la (
ind
igen
ou
s en
dem
ic)
R
etai
n
Tim
grove
a r
etic
ula
ta (
ind
igen
ou
s n
on
-en
dem
ic)
N
ow
tw
o c
olle
ctio
ns;
ret
ain
Appen
dix
2 c
on
tin
ued
31Science for Conservation 306
SPeCIeS DNA DATA? NOTeS
Cortinarius anisodorus (indigenous endemic) Three collections; add to Data Deficient category
Cortinarius atrolazulinus (indigenous endemic) Three collections, North and South Islands; Soop (2006)
considered it rare; add to Data Deficient category
Cortinarius atroviolaceus (indigenous non-endemic) One or two collections; add to Data Deficient category
Cortinarius coneae (indigenous endemic) One or two collections; add to Data Deficient category
Cortinarius dulciolens (indigenous endemic) Only two collections; add to Data Deficient category
Cortinarius dulciorum (indigenous endemic) Single collection; add to Data Deficient category
Cortinarius flavidulus (indigenous endemic) Single collection; add to Data Deficient category
Cortinarius gymnocephalus (indigenous endemic) Two collections; add to Data Deficient category
Cortinarius incensus (indigenous endemic) Only two collections; add to Data Deficient category
Cortinarius lamproxanthus (indigenous endemic) Two collections, one area; add to Data Deficient category
Cortinarius leucocephalus (indigenous non-endemic) Few collections, add to Data Deficient category
Cortinarius luteobrunneus (indigenous endemic) Few collections; add to Data Deficient category
Cortinarius melleomitis (indigenous non-endemic) Three collections; add to Data Deficient category
Cortinarius myxenosma (indigenous endemic) Two collections; add to Data Deficient category
Cortinarius nivalis (indigenous endemic) Few collections; add to Data Deficient category
Cortinarius ohauensis (indigenous endemic) Few collections; add to Data Deficient category
Cortinarius orixanthus (indigenous) Few certain IDs; add to Data Deficient category
Cortinarius paraonui (indigenous endemic) Three collections; add to Data Deficient category
Cortinarius pectochelis (indigenous endemic) Three collections; add to Data Deficient category
Cortinarius pisciodorus (indigenous endemic) Two collections; add to Data Deficient category
Cortinarius sarchinochrous (indigenous endemic) Now four collections; because these truffle-like species are
intensively sought but rarely found; add to Data Deficient
category
Cortinarius suecicolor (indigenous endemic) Four collections, some uncertainty over identity of some;
add to Data Deficient category
Cortinarius thaumastus (indigenous endemic) Few collections; add to Data Deficient category
Cortinarius tigrellus (indigenous endemic) Few collections; add to Data Deficient category
Cortinarius violaceovolvatus (indigenous endemic) Three collections; add to Data Deficient category
Inocybe strigiceps (indigenous non-endemic) y No t-RFLP matches; two, perhaps three, collections in PDD;
add to Data Deficient category
Labyrinthomyces varius (indigenous non-endemic) Three collections; add to Data Deficient category
Laccaria amethystina (indigenous non-endemic) Several collections PDD, but uncertain identifications;
add to Data Deficient category
Ramaria sclerocarnosa (indigenous endemic) Few collections; add to Data Deficient category
Ramariopsis luteotenerrima (indigenous non-endemic) Several collections, but doubt over identifications;
add to Data Deficient category
Ramariopsis novohibernica (indigenous non-endemic) Few collections; add to Data Deficient category
Russula pudorina (indigenous endemic) Five collections, all in AK; add to Data Deficient category
Russula rubrolutea (indigenous endemic) Three collections; add to Data Deficient category
Russula tapawera (indigenous endemic) Four collections but all from same locality; either add to Data
Deficient category or consider for higher threat status;
macroscopically distinctive species of intensively targeted group
Appendix 3
A D D I T I O N S T O T H e D A T A D e F I C I e N T L I S T
Most of these species were described after the original 2002 assessment. In most
cases, recently described species of mushrooms in New Zealand taxonomic
studies are based on one or a few herbarium specimens.
Novel taxonomic methods enable better understanding of fungal distributions for threat classification system lists
Molecular methods were used to combine ecological and taxonomic data sets for a group of ectomycorrhizal fungal species. Sequences and t-RFLP patterns from the ITS region were generated from reliably identified herbarium specimens and used to recognise when these species appeared in samples collected in ecological studies, so providing large numbers of additional distribution records for these species. A new listing of Data Deficient ectomycorrhizal fungal species was produced.
Johnston, P.; Park, D.; Dickie. I.; Walbert, K. 2010: Using molecular techniques to combine taxonomic and ecological data for fungi: reviewing the Data Deficient fungi list, 2009. Science for Conservation 306. Department of Conservation, Wellington. 31 p.