Genome-scale reconstruction and in silico analysis of the Clostridium acetobutylicum ATCC 824 metabolic network.

TitleGenome-scale reconstruction and in silico analysis of the Clostridium acetobutylicum ATCC 824 metabolic network.
Publication TypeJournal Article
Year of Publication2008
AuthorsLee J, Yun H, Feist AM, Palsson BØ, Lee S Y
JournalApplied microbiology and biotechnology
Volume80
Issue5
Pagination849-62
PubMed Date2008 Oct
ISSN1432-0614
Keywords1-Butanol, Biomass, Clostridium acetobutylicum, Computational Biology, Computer Simulation, Genome, Bacterial, Metabolic Networks and Pathways, Models, Biological
Abstract

To understand the metabolic characteristics of Clostridium acetobutylicum and to examine the potential for enhanced butanol production, we reconstructed the genome-scale metabolic network from its annotated genomic sequence and analyzed strategies to improve its butanol production. The generated reconstructed network consists of 502 reactions and 479 metabolites and was used as the basis for an in silico model that could compute metabolic and growth performance for comparison with fermentation data. The in silico model successfully predicted metabolic fluxes during the acidogenic phase using classical flux balance analysis. Nonlinear programming was used to predict metabolic fluxes during the solventogenic phase. In addition, essential genes were predicted via single gene deletion studies. This genome-scale in silico metabolic model of C. acetobutylicum should be useful for genome-wide metabolic analysis as well as strain development for improving production of biochemicals, including butanol.

Alternate JournalAppl. Microbiol. Biotechnol.
PubMed ID18758767

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