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Optimization of L-carnitine production by enterobacteria
J.L. Iborra, M.Cánovas, A. Sevilla & V. Bernal
Department of Biochemistry &Molecular Biology “B” & Immunology
Faculty of ChemistryUniversity of Murcia
SPAIN
Previous and actual works
L-carnitine production with immobilized Escherichia coli cellsin continuous reactors
José María Obón, Juan Ramón Maiquez, Hans-Peter Kleber, Manuel Cánovas and José Luis Iborra
Enzyme and Microbial Technology, 21: 531-536, 1997
Role of betaine:CoA ligase (CaiC) in the activaction of betaines and the transfer of coenzyme A in Escherichia coli
V. Bernal, P. Arense, V. Blatz, M.A, Mandrand-Berthelot, M. Cánovas and J.L. Iborra
Journal of Applied Microbiology 105, (2008), 42-50
31 articles
AIMS OF CONFERENCE
• Update the knowledge on bacterialcarnitine metabolism and the potentialindustrial application of its productionmethods:
- Bioprocess development.
- Strain optimization strategies.
Bernal et al., (2007) Microbial Cell Factories, 6: 31.
Introduction
Methodology FactorsProduction
Metabolic Link
Models
Metabolic Flux Analysis
Pulse Experiments
Cofactor Engineering
CurrentWorks
Conclusions
Strains
Results
Reactors
CH3 H│ │
CH3 - N+ - CH2 – C – CH2 – COO-
│ │ CH3 OH
PRESENTATION OVERVIEW
FuturePerspectives
Introduction
CH3 H│ │
CH3 - N+ - CH2 – C – CH2 – COO-
│ │ CH3 OH
CH3 OH│ │
CH3 - N+ - CH2 – C – CH2 – COO-
│ │ CH3 H
CH3 H│ │
CH3 - N+ - CH2 – C – CH2 – COO-
│ │ CH3 OHCH3
│ CH3 - N+ - CH2 – CH = CH – COO-
│CH3
Osmoprotectant
ESSENTIAL NUTRIENTDaily Necessities:
•10% biosynthesis (liver, kidney)•90% dietary supply
•100% essential in neonates
L-carnitine
Metabolism of fats
Applications: clinical & nutraceutical
ChemicalBiotechnological
Production Methods
Racemic mixture Residue: D-Car
EnantioselectiveSubstrates:D-Car/Crot
Enterobacteria(Escherichia, Proteus
& Salmonella)
Introduction Metabolism of L-Carin Enterobacteria
Biotransformationmachinery: inducible
Crot y D-Carare residues of the chemical industry
Crot
L-Car
γ-BB
CrotonobetaineReductase
D-Car
γ-BB
D-Car
L-Car
Crot
CarnitineDehydratase
CarnitineRacemase
Introduction
caiTABCDE caiFCRPCRP -10-10 FNR
L-carnitine metabolism in E. coli y Proteus sp.:Organization of the cai operon
CaiA Crot-CoA reductaseCaiB CoA transferaseCaiC Carnitine:CoA ligaseCaiD Enoyl-CoA hydratase
CaiT Membrane Transporter CaiE Unknown
CaiF Transcriptional Activatorof Carnitine Metabolism
fixABCX
Fix Crot Reduction
Introduction Comparison of cai operon codified proteins inEscherichia coli and Proteus sp strains
Gene Protein length (aa) Function of gene product Homology (%)
E. coli Proteus spcaiT 504 504 Transport protein* 88
caiA 380 380 Crotonobetainyl-CoA reductase 93
caiB 405 406 Betainyl-CoA transferase 86
caiC 524 518 Betainyl-CoA ligase* 69
caiD 297 261 Crotonobetainyl-CoA hydratase 82
caiE 203 197 Unknown 76
caiF 131 130 Transcriptional regulador* 51
(*) In Proteus sp strains function postulated on the basis of sequence similarities.
Introduction
caiTABCDE caiFCRPCRP -10-10 FNR
L-carnitine metabolism in Escherichia coli:Organization of the cai operon
fixABCX
L-Car
Crot
CaiFinactive
CaiFactive
+
H-NS
RpoS
CRP
FNR
+ + +--
CRP: cAMP Receptor Protein
RpoS: sigma subunitof RNApol
H-NS: histones
O2
FNR: transcriptional factorfor anaerobiosis
Crot
L-CarL-Car
Crot Crot-CoA
L-Car-CoA
γ-BB-CoA
γ-BB
CaiACaiC
CaiD
CaiT
CaiB CaiB
CaiC
Crot
Oxygen/Fumarate:inhibitors
Elssner et al., (2001) Biochemistry 40: 11140; Cánovas et al.,(2003) Biotecnol. Bioeng., 84: 686.
Transport/activation
ATP
Expression/performance
NADH/NAD+
Biotransformation
CoA/AcCoA
Metabolism of L-Car in Escherichia coliIntroduction
QGincrotin
GX
μmax
GL-carCrot
METHODOLOGYMethodology
Strains
Escherichia coli & Proteus sp. strains
Wild type:
E. coli O44K74E. coli LMG194
Proteus sp.
Genetically modified:E. coli BW25113
Overexpression (caiT, caiB, caiC, caiD)Deletion (caiB, caiC, aceA, aceK, iclR, pta, acs)
pBAD24AmpR
Castellar et al., (1998) J. Appl. Microbiol., 85: 883.
Castellar et al., (2001) Enz. Microb. Techn., 28: 785.
Bernal et al., (2007) Biotech. Lett., 29: 1549.
Continuous Cell-Recycle Reactor(HIGH CELL DENSITY)
QGincrotin
GL-carCrot
GX
μmax
Continuous Stirred Tank Reactor(CHEMOSTAT)
GL-carCrot
METHODOLOGY
Limitations:
•Low cell density(< 1 g.L-1)
•D < μmax(E. coli: 0,6 h-1)
•Contamination risk
Methodology
Reactors
Batch Stirred Tank Reactor
•Growing Cells
•Resting CellsCrotonobetaine L(-)-carnitine
Obón et al., (1999) Appl. Microbiol. Biotechnol., 51: 760. Cánovas et al., (2002) Biotechnol. Bioengin., 77: 764.
Factorsproduction
Results Effect of inducers
• The proper biotransformation isonly induced by crotonobetaine,D-carnitine or L-carnitine.
• Maximal biotransformationcapacity is induced by 5 mMcrotonobetaine in anaerobiosis.
• The molar yield for L-carnitineproduction can reach 50-60%.
Oxygen (%)0.00 15.00 30.00 60.00
Con
c (m
M)
0
5
10
15
20
25
30
35
DC
W (g
·L-1)
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
D-Carnitine racemization: Oxygen effect
Escherichia coli K38pT7-5KE32
0% 15% 30% 60%
Multiple effects of oxygen:
•Inhibits γ–butyrobetaine production by CaiA•Increases growth yield•Represses the expression of carnitine metabolism
CH3 OH│ │
CH3 - N+ - CH2 – C – CH2 – COO-
│ │CH3 H
Substrate:D(+)-carnitine
Factorsproduction
Results
Cánovas et al., (2005) Biochem. Engin. J., 26: 145.
Factorsproduction
Results
Inhibits γ-butyrobetaine production by CaiA
Crotonobetaine: Fumarate effect
Escherichia coliO44K74
Enhances cell growth
Complex media
μmax(h-1) qcarmax qcrotmax
Yield carn. (%)
Conv(%)
Control 0.224 0.008 0.189 6.9 40.02 g/L fumarate 0.431 0.343 0.471 43.0 48.5
Fumarate is reduced into succinate by anaerobically
respiring bacteria
CH3│
CH3 - N+ - CH2 – CH = CH – COO-
│CH3
Substrate:Crotonobetaine
Cánovas et al., (2005) Biochem. Engin. J., 26: 145.
Factorsproduction
ResultsL-Carnitine transport systems in E. coli
Bernal et al., (2007) Microbial Cell Factories, 6: 31.
Factorsproduction
Results Effect of permeabilizers on cell envelopeand outer membrane
Bernal et al., (2007) Microbial Cell Factories, 6: 31.
Factorsproduction
Results Effect of different transport engineeringstrategies on L-carnitine production
Proteus sp.
E. coli O44K74
Bernal et al., (2007) Microbial Cell Factories, 6: 31.
Factorsproduction
Results L-Carnitine productivities for continuoussystems with growing and resting cells
Strain Productivity(g L-1 h-1)
Molar yiedl(%)
Comment
E. coli O44K74 0.3 - Immobilized in polyacrylamide
E. coli O44K74 1.8 26 Immobilized in glass beads
E. coli O44K74 6.2-12 40 Cell recycle
E. coli pT7-5KE32
1.2 24 Cell recycle
E. coli pT7-5KE32
0.71 10 Immobilized in k-carrageenan
Proteus sp. 40.5 35-50 Cell recycleProteobacteria 5.4 90-95 Cell recycle
Bernal et al., (2007) Microbial Cell Factories, 6: 31.
Physiological state of E. coli strains duringL-carnitine production
Results
A. High density cell-recycle reactor
B. Continuous stirred tank reactor
E. coli O44K74 Immobilized E. coliK38 pT7-5KE32
Dead cells
Viable cells
Depolarized cells
Dry cell weight
Factorsproduction
Bernal et al., (2007) Microbial Cell Factories, 6: 31.
8 h
16 h
0,0
0,2
0,4
0,6
0,8
1,0
1 2 3 4 5 6 7 8
L-ca
rniti
ne p
rodu
ctiv
ity(g
·l-1·h
-1)
No of reuse cycles
REUSE OF CELLS:100% recovery of
biocatalytical capacity
Resting Cells Reuse: physiological state
Escherichia coliO44K74
Non re-energized Cells
Re-energized
cells
Factorsproduction
Results
Cánovas et al., (2007) Process Biochem., 42: 25.
Factors affecting thebiotransformation
Strain improvementMetabolic Engineering
Cell physiologyLink of Central
& CarnitineMetabolisms
Mathematicalmodels
Experimentaldesign
PRESENTATION OVERVIEW
PEP
Pyruvate
Acetyl-CoA
Isocitrate
Malate
Acetyl-P
Acetyl-AMP
Acetate
Lactate
Ethanol
ICDHICL
ACS
PTA
Formate
IclR
AceK
-
-
-
Succinate
OAA
PDH/PFL
Glyoxylate Shunt:Anabolism
CENTRAL METABOLISM IN Escherichia coli
Acetate Metabolism:ATP production
TCA in anaerobiosis:biosynthetic precursors
Metabolic link
Cánovas et al. , (2003) Biotechnol. Bioeng. 84, 686.
Results
Time (h)0 24 48 72 96
ICD
H(m
U/m
g pr
ot)
0
50
100
150
ICL
(mU
/mg
prot
)
0
4
8
12
ACS
(mU
/mg
prot
)
0
50
100
150
200
PTA
and
PD
H (m
U/m
g pr
ot)
0
10
20
30
40
50A
B
Ace
tyl-C
oA a
nd H
S-C
oA (n
M)
15
30
45
60
75
90
NA
DH
/NA
D+ ra
tio
0,0
0,1
0,2
0,3
0,4
0,5
Time (h)
0 20 40 60 80
ATP
con
tent
(mM
)
0,0
0,2
0,4
0,6
0,8
Rat
e of
tran
spor
t (n
mol
/mg
prot
. min
)
2
4
6
8
10
12
14
A
B
ATP (fmol/cell)x104
0 2 4 6 8 10
Rat
e of
tran
spor
t(n
mol
/mg.
prot
.min
)
0
4
8
12
16
C
Resting Cells: Metabolic Link
ATP linked to transport rate
Incr. Glyoxylate Shunt
Adaptation to microaerobiosis and starvation
Metabolic link
Results
Cánovas et al. , (2003) Biotechnol. Bioeng. 84, 686.
Time (h)0 20 40 60 80A
TP (μ
Μ) a
nd B
iom
ass
(A60
0)
0
10
20
30
ICD
H/IC
L ra
tio
15
20
25
30
35
40
L-ca
rniti
ne, c
roto
nobe
tain
e an
d γ
-but
yrob
etai
ne (m
M)
0
10
20
30
40
50
60A
B
Low γ-butyrobetaine
Continuous Cultures: Metabolic Link
Escherichia coliO44K74
ATP levels decreased.Regulated ICDH/ICL ratio
Metabolic link
Results
Cánovas et al. , (2003) Biotechnol. Bioeng. 84, 686.
0
200
400
600
800
1000
0
1
23
45
67
01
23
4Spec
ific
activ
ity (m
U/m
g pr
otei
n)
Enzy
mes
Reactor type
1. CSTR 2. Membrane 3. Batch with growing cells4. Batch with resting cells
Higher expressionof acetate metabolism
Link between Central & Secondary Metabolisms
Escherichia coliO44K74
Alteration of ICDH/ICL ratio
Metabolic link: COFACTORS(ATP and acetyl-
CoA/CoA)
Metabolic link
Results
12
3
4
5
6
Cánovas et al. , (2003) Biotechnol. Bioeng. 84, 686.
V2, K2
crotonobetaine
d CRd T
A= ( ) ( )CR V
K CRC VK C
B−
++
+⎛⎝⎜
⎞⎠⎟
+1
1
2
2 ( )CR V
CR K−
+⎛⎝⎜
⎞⎠⎟
3
3
d Cd T
A= ( ) ( )C V
K CCR VK CR
−+
++
⎛⎝⎜
2
2
1
1
⎛⎝⎜
( )d Bud T
BCR VK CR
=+
⎛⎝⎜
3
3
⎛⎝⎜
V1, K1
L-carnitine A
OKA2e +
−Α = KA1 KA3
( ))( X
L(-)-carnitine dehydratase CaiD
A
V3, K3
γ-butyrobetaíneB
OKB2e
−B = KB1
( )X
Crotonobetaíne reductase CaiA
B
With fumarateF
KB2e−
B = KB1
( )X
Cánovas et al., (2002). Biotechnol. Bioeng. 77. 764-775.
Model of enzymatic activityModels
Results
Macrokinetics of the high cell density reactor
G)Q·(GYμ·XV·
dtdGV· 0
xg
−+−=
·Xμ·XμdtdXV· emax −=
CR)Q·(CR·Vrdt
dCRV· 0CR −+=
LCKmVLC
CRKmVCRr
LCext
max
CRext
maxCR +
⋅+
+⋅
−=
Q·LC·Vrdt
dLCV· LC −=
CRKmVCR
LCKmVLCr
CRext
max
LCext
maxLC +
⋅+
+⋅
−=
X52
X51
X50 QGincrotin
GX
μmax
GL-car
Crot
X4
X1
X53
X3
X2
X1
High density cell recycle membrane
reactor
XX4
Cánovas et al., (2002). Biotechnol. Bioeng. 77, 764-775.
Models
Results
Comparison between predicted and experimental L-Carnitine production rate by E .coli in a high cell density–recycle reactorModels
Results
Alvarez-Vazques et al., (2002). Biotechnol. Bioeng. 77. 895-905
• Dilution rate (Q)
• Initial crotonobetaine concentration
(Crin)
• Carnitine dehydratase
activity
CRITICAL PARAMETERS FOR
MAXIMIZING CARNITINE
PRODUCTION
S-System Model: Mathematical frameworkResults
Models
A. Sevilla et al., (2005) Biotechonol. Prog. 21, 329-337.
time (h)
0 2 4 6
Nor
mal
ized
Con
cent
ratio
n
1.0
1.2
1.4
1.6
1.8
2.0
LCext
CRext
CRint
LCint
LCCoA
CRCoA
time (h)
0 2 4 6
Nor
mal
ized
con
cent
ratio
n
0.8
1.0
1.2
1.4LCout
CRout
CRin
LCin
LCCoA
CRCoA
time (h)
0 2 4 6
Nor
mal
ized
con
cent
ratio
n
0.94
0.96
0.98
1.00
1.02
1.04
1.06
1.08
LCext
CRout
LCCoA
CRCoA
CRint
LCin
time (h)
0 2 4 6
Nor
mal
ized
con
cent
ratio
n
0.94
0.96
0.98
1.00
1.02
1.04
1.06
LCout
CRext
CRint
LCin
LCCoA
CRCoA
Overexpression of CaiTOverexpression of CaiBand CaiT
Overexpression of CaiB Overexpression of CaiC
S-System Model: Perturbation StudiesResults
Models
Optimal Solution
III
IIIIV
S-System Model: Stepwise optimization.IOM approach
Results
Models
Optimum normalized values(Xi)opt/(Xi)basal
Bioreactor setting
parameters
Solutions
0 I II III IV V
X16 (Q) 2 2 2 2 2 2
X18(CBinlet) 2 2 2 2 2 2
Enzyme activity sets
Enzyme activities
0 1 2 3 4 5
X48 (CaiC) 1 5 5 5 5 5
X45 (CaiT) 1 1 5 5 5 5
X47 (CaiB) 1 1 1 5 5 5
X46 (ProU ) 1 1 1 1 0.5 0.5
X49 (CaiD) 1 1 1 1 1 5
Carnitine Production
Rate2.2 8.4 15.7 25.7 27.8 28.6
TCAGLYCOLYSIS
PROTEIN SYNTHESISLlPIDS SYNTHESIS
ARN & ADN SYNTHESIS
PENTOSEPATHWAY
GLUCOSEUPTAKE
ELECTRONTRANSFER
Chassagnole, C., et al., (2002) Biotechnol. Bioeng. 79, 53-73
Metabolic FluxAnalysis
Results
Central metabolism in aerobic conditions
Metabolic FluxAnalysis
Results
Metabolic Flux Analysis
A. Sevilla, et al., (2005) Metabolic Engineering, 7, 401-425
Dynamic Evolutionof the metabolism of Escherichia coli under production conditions
Strategy METABOLIC PULSING
Short Time Window(ms - s)
Long time window(min - h)
Intracellular Metabolites
metabolic perturbationenzyme levels unnaffected
Intracellular MetabolitesExtracelullar Metabolites
EnzymesTranscription Factors
genetic perturbationenzyme levels affected
Pulseexperiments
Results
Cánovas et al. (2007) In silico Biology, 7, S3-S16
Metabolic Engineering Analysis
QGincrotin
GX
μmax
GL-carCrot
High Cell Density
Continuous Reactor
MethodologyRapid
PulsingRapid
Sampling
t (min)
EnzymesMetabolitesCoenzymes
Cánovas et al. (2007) In silico Biology, 7, S3-S16
Pulseexperiments
ResultsDynamic pulsing of continuous steady state
E. coli cultures in production conditions
0.0
0.5
1.0
1.5
2.0
2.5
3.0
PTA
norm
aliz
ed s
peci
fic a
ctiv
ity
0
1
2
3
4
5
ACS
norm
aliz
ed s
peci
fic a
ctiv
ity
0
20
40
60
80
100
120
140
Time (min)-20 0 20 40 60 80 100 120 140
ATP
(μM
)
10
20
30
40
50
60
CH
R n
orm
aliz
ed s
peci
fic a
ctiv
ity
0.0
0.2
0.4
0.6
0.8
1.0
L-ca
rniti
ne (m
M)
6
7
8
9
10
11
A
B
Acetate increased fast after the pulse
L-Car production increased despite lower
CDH
ATP pool increased 3-fold !!
L-Car production correlated with cellular ATP
Ace
tate
(g/L
)
Pulseexperiments
Results
Glicerol Pulse
Improvement ofL-carnitine production
Genetically modifiedEscherichia coli strains
Strategy: COFACTOR
ENGINEERING
SecondaryMetabolism
CentralMetabolism
Overexpression of carnitine metabolism
enzymes: CaiB, CaiT & CaiC
Deletion of acetyl-CoA metabolism enzymes :
Acetate metabolism& glyoxilate shunt
Metabolic Engineering in Escherichia coliCofactor Engineering
Results
Bernal et al., (2007) J. Biotechnol. 132: 110-117.
Effect of gene overexpression on theproduction of L-carnitine
Batch Anaerobic system
+ Fumarate 2 g.L-1
Results
3-4-fold
50-fold
Bernal et al., (2007), J. Biotechnol. 132, 110-117 Cánovas et al., (2007) In Silico Biol.,7 (S3-S16)
Cofactor Engineering
aceAisocitrate liase
aceK ICDH phosphatase/kinase
iclR glyoxylate shunt repressor
acs acetyl-CoA sinthetase
ptaphosphotransacetylase
KO-COLLECTIONProf. Mori, Keio Univer. (Japan)
Cofactor Engineering
ResultsAcetyl-CoA metabolism single-gene deletion
KO Mutants
Bernal et al., J. Biotech., (2007), 132, 110-117.
Glyoxylateshunt
Acetatemetabolism
Results Effect of the deletion of pta, acs, iclR, aceK and aceAon the production of L-carnitine by E. coli BW25113
pta: phosphotransferase
ENZYMES OF CENTRAL
METABOLISM
acs: AcetylCoA sinthetase
aceA: Isocitrate liase
aceK: Isocitrate deshidrogenase
iclR: Inhibition aceA
Batch anaerobic systems
Bernal et al., J. Biotech., (2007), 132, 110-117.
Without fumarateWith 2 g.L-1 fumarate
Cofactor Engineering
CentralMetabolism
SecondaryMetabolism
Alteration of enzymes in the metabolism of acetyl‐CoA
Alteration of carnitine metabolism enzymes:
• Deletion of aceA, aceK in a double mutant• Overexpression of pta
• Overexpression of caiF by changing the promotor• Overexpression of caiTBDC by changing the promotor• Deletion of caiA in a simple and double mutant with overexpression of caiTBDC
These mutants were made by Datsenko and Wanner method
AEROBIC CONDITIONS
Time (h)
0 10 20 30 40 50
[L-C
arni
tine]
mM
0
5
10
15
20
25
E. coli BW25113 (Wt)E. coli BW25113 p37-ΔpcaiTBCDE. coli BW25113 p8-ΔpcaiF
The new mutants with theconstitutive promotor produceL‐carnitine in aerobic conditions
Central Metabolism
SecondaryMetabolism
Alteration of enzymes in the metabolism of acetyl‐CoA
Alteration of carnitine metabolism enzymes:
• Deletion of aceA, aceK in a double mutant• Overexpression of pta
• Overexpression of caiF by changing the promotor• Overexpression of caiTBDC by changing the promotor• Deletion of caiA in a simple and double mutant with overexpression of caiTBDC
These mutants were made by Datsenko and Wanner method
Current works
CARNITINE PRODUCTIONCONCLUSIONS
• Characterize the phenotype of the new mutants.
• Analyze the effects of aerobic biotransformationsconditions.
• Determine glucose repression mechanisms.
• Integration of metabolic, genetic & signaling levels.
• Integration of central & secondary pathways.
OPTIMIZATION OF BIOPROCESS
CONCLUSIONS
• A continuous feed-back between in silico and in vivoexperimentation is necessary for the application ofMetabolic Engineering and System Biology approachesto living systems.
• The construction of meaningful models stronglydepends on the completeness and goodness of the dataavailable.
GENERAL
• Although biotransformation processes are designed ona case by case basis, the experimental and theoreticalmethologies of Bioprocess and Metabolic Engineeringare applicable to the development de any bioprocessinvolving whole cells.
D. Martínez C. SánchezT. De Diego A. ManjónM. Cánovas
P. ArenseC. BernalA. Sevilla
S. Revilla
J.L. Iborra
Biotechnology Group E-060-04
Dpt. Biochemistry & Molecular Biology “B” & ImmunologyFaculty of Chemistry
ACKNOWLEDGEMENTS
M. Martínez
S. Fructuoso S. Castaño J.M. Pastor M. Ferrari
MCYT (Ref.: BIO2005-08898-C02-01).FUNDACIÓN SENECA-CARM (Ref.: 2928/PI/05).BIOCARM (Ref.: BIO2005/01-6468).
University of LeipzigHans-Peter Kleber
EXTERNAL PARTNERS
FINANCIAL SUPPORT
Universidad de La LagunaN.V. Torres
F. Álvarez-VázquezZ. Díaz
INSA-LyonM.A. Mandrand-Berthelot
University of StuttgartM. Reuss
J.W SchmidK. Mauch
ACKNOWLEDGEMENTS
University of Roma/Sigma TauMenotti Calvani
COLLABORATORS
Ph. D.J.R. MaíquezT. Torroglosa
ProfessorsJ.M. ObónM.R. CastellarT. De DiegoC. Olivares
M. in ScienceB. BuendíaA. MarínG. EspinosaJ.L. RamírezM. GonzálezR. LealR. TeruelB. MasdemontV. García
Erasmus StudentsP. KellerS. ReimersV. Blatz
ACKNOWLEDGEMENTS
THANK YOU VERY MUCH FOR
YOUR ATTENTION
Optimization of L-carnitine production by enterobacteria
ACKNOWLEDGEMENTS
ORAL COMMUNICATION & POSTERS in BIOTEC’08
● “Avoiding catabolite repressIon using System Biology”• “Transcriptional regulation of the glyoxylate shunt in E.coli”
• “The fundamental role of acetate in bioprocessoptimization in E. coli”
• “Salt stress effects on the central and carnitineproduction metabolisms of E. coli”
• “Engineering E. coli to improve L-carnitine production”
• “In silico model of the mitochondrial metabolism incardiac cell undergoing metabolic alteration in carnitinesystem”
Optimization of L-carnitine production by enterobacteria
J.L. Iborra, M.Cánovas, A. Sevilla & V. Bernal
Department of Biochemistry &Molecular Biology “B” & Immunology
Faculty of ChemistryUniversity of Murcia
SPAIN