2006.0004 Molecular Systems Biology (2006) doi:10.1038/msb4100046 & 2006 EMBO and Nature Publishing Group All rights reserved 1744-4292/06 www.molecularsystemsbiology.com Modeling methanogenesis with a genome-scale metabolic reconstruction of Methanosarcina barkeri Adam M Feist1,*, Johannes CM Scholten2,*, Bernhard Ø Palsson1, Fred J Brockman2 and Trey Ideker1 1 Department of Bioengineering, University of California—San Diego, La Jolla, CA, USA and 2 Pacific Northwest National Laboratory, Environmental Microbiology Group, Richland, WA, USA * Corresponding authors: AM Feist, Department of Bioengineering, University of California—San Diego, 9500 Gilman Drive 0412, La Jolla, CA 92092-0412, USA. Tel.: þ 1 858 822 3181; Fax: þ 1 858 822 3120; E-mail:
[email protected] or JCM Scholten, Environmental Microbiology Group, Pacific Northwest National Laboratory, 900 Battelle Blvd, Richland, WA 99352, USA. Tel.: þ 1 509 376 1939; Fax: þ 1 509 372 1632; E-mail:
[email protected] Received 5.8.05; accepted 8.12.05 We present a genome-scale metabolic model for the archaeal methanogen Methanosarcina barkeri. We characterize the metabolic network and compare it to reconstructions from the prokaryotic, eukaryotic and archaeal domains. Using the model in conjunction with constraint-based methods, we simulate the metabolic fluxes and resulting phenotypes induced by different environmental and genetic conditions. This represents the first large-scale simulation of either a methanogen or an archaeal species. Model predictions are validated by comparison to experimental growth measurements and phenotypes of M. barkeri on different substrates. The predicted growth phenotypes for wild type and mutants of the methanogenic pathway have a high level of agreement with experimental findings.