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Genomically and biochemically accurate metabolic reconstruction of Methanosarcina barkeri Fusaro,iMG746
Authors:Matthew C. Gonnerman  Matthew N. Benedict  Adam M. Feist  William W. Metcalf  Dr. Nathan D. Price
Affiliation:1. Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA;2. Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA;3. Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA

Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA

Abstract:Methanosarcina barkeri is an Archaeon that produces methane anaerobically as the primary byproduct of its metabolism. M. barkeri can utilize several substrates for ATP and biomass production including methanol, acetate, methyl amines, and a combination of hydrogen and carbon dioxide. In 2006, a metabolic reconstruction of M. barkeri, iAF692, was generated based on a draft genome annotation. The iAF692 reconstruction enabled the first genome-Scale simulations for Archaea. Since the publication of the first metabolic reconstruction of M. barkeri, additional genomic, biochemical, and phenotypic data have clarified several metabolic pathways. We have used this newly available data to improve the M. barkeri metabolic reconstruction. Modeling simulations using the updated model, iMG746, have led to increased accuracy in predicting gene knockout phenotypes and simulations of batch growth behavior. We used the model to examine knockout lethality data and make predictions about metabolic regulation under different growth conditions. Thus, the updated metabolic reconstruction of M. barkeri metabolism is a useful tool for predicting cellular behavior, studying the methanogenic lifestyle, guiding experimental studies, and making predictions relevant to metabolic engineering applications.
Keywords:Metabolic flux analysis  Metabolic network  Modeling  Microbiology  Systems biology
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