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Title: Metabolic modeling of a mutualistic microbial community

Abstract

The rate of production of methane in many environmentsdepends upon mutualistic interactions between sulfate-reducing bacteriaand methanogens. To enhance our understanding of these relationships, wetook advantage of the fully sequenced genomes of Desulfovibrio vulgarisand Methanococcus maripaludis to produce and analyze the firstmultispecies stoichiometric metabolic model. Model results were comparedto data on growth of the co-culture on lactate in the absence of sulfate.The model accurately predicted several ecologically relevantcharacteristics, including the flux of metabolites and the ratio of D.vulgaris to M. maripaludis cells during growth. In addition, the modeland our data suggested that it was possible to eliminate formate as aninterspecies electron shuttle, but hydrogen transfer was essential forsyntrophic growth. Our work demonstrated that reconstructed metabolicnetworks and stoichiometric models can serve not only to predictmetabolic fluxes and growth phenotypes of single organisms, but also tocapture growth parameters and community composition of simple bacterialcommunities.

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
COLLABORATION - U.Washington
Sponsoring Org.:
USDOE Director. Office of Science. Biological andEnvironmental Research
OSTI Identifier:
925518
Report Number(s):
LBNL-60299
R&D Project: VGTLUW; BnR: KP1501021; TRN: US200809%%781
DOE Contract Number:
DE-AC02-05CH11231
Resource Type:
Journal Article
Resource Relation:
Journal Name: Molecular Systems Biology; Journal Volume: 3; Journal Issue: 92; Related Information: Journal Publication Date: 03/13/2007
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 54 ENVIRONMENTAL SCIENCES; COMMUNITIES; DESULFOVIBRIO; ELECTRONS; FORMATES; HYDROGEN TRANSFER; LACTATES; METABOLITES; METHANE; PRODUCTION; SIMULATION; SULFATE-REDUCING BACTERIA; Desulfovibrio flux-balance modeling interspecies hydrogentransfer Methanococcus syntrophy

Citation Formats

Stolyar, Sergey, Van Dien, Steve, Hillesland, Kristina Linnea, Pinel, Nicolas, Lie, Thomas J., Leigh, John A., and Stahl, David A.. Metabolic modeling of a mutualistic microbial community. United States: N. p., 2007. Web. doi:10.1038/msb4100131.
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Stolyar, Sergey, Van Dien, Steve, Hillesland, Kristina Linnea, Pinel, Nicolas, Lie, Thomas J., Leigh, John A., & Stahl, David A.. Metabolic modeling of a mutualistic microbial community. United States. doi:10.1038/msb4100131.
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Stolyar, Sergey, Van Dien, Steve, Hillesland, Kristina Linnea, Pinel, Nicolas, Lie, Thomas J., Leigh, John A., and Stahl, David A.. Tue . "Metabolic modeling of a mutualistic microbial community". United States. doi:10.1038/msb4100131.
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@article{osti_925518,
title = {Metabolic modeling of a mutualistic microbial community},
author = {Stolyar, Sergey and Van Dien, Steve and Hillesland, Kristina Linnea and Pinel, Nicolas and Lie, Thomas J. and Leigh, John A. and Stahl, David A.},
abstractNote = {The rate of production of methane in many environmentsdepends upon mutualistic interactions between sulfate-reducing bacteriaand methanogens. To enhance our understanding of these relationships, wetook advantage of the fully sequenced genomes of Desulfovibrio vulgarisand Methanococcus maripaludis to produce and analyze the firstmultispecies stoichiometric metabolic model. Model results were comparedto data on growth of the co-culture on lactate in the absence of sulfate.The model accurately predicted several ecologically relevantcharacteristics, including the flux of metabolites and the ratio of D.vulgaris to M. maripaludis cells during growth. In addition, the modeland our data suggested that it was possible to eliminate formate as aninterspecies electron shuttle, but hydrogen transfer was essential forsyntrophic growth. Our work demonstrated that reconstructed metabolicnetworks and stoichiometric models can serve not only to predictmetabolic fluxes and growth phenotypes of single organisms, but also tocapture growth parameters and community composition of simple bacterialcommunities.},
doi = {10.1038/msb4100131},
journal = {Molecular Systems Biology},
number = 92,
volume = 3,
place = {United States},
year = {Tue Mar 13 00:00:00 EDT 2007},
month = {Tue Mar 13 00:00:00 EDT 2007}
}
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Journal Article:
DOI:  10.1038/msb4100131
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