Metabolic modeling of a mutualistic microbial community

doi:10.1038/msb4100131

Title: Metabolic modeling of a mutualistic microbial community

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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:: Stolyar, Sergey; Van Dien, Steve; Hillesland, Kristina Linnea; Pinel, Nicolas; Lie, Thomas J.; Leigh, John A.; Stahl, David A.

Publication Date:: Tue Mar 13 00:00:00 EDT 2007

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

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                    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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DOI: 10.1038/msb4100131

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