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

Cited 127 time in webofscience Cited 0 time in scopus
  • Hit : 349
  • Download : 303
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.
Publisher
SPRINGER
Issue Date
2008-10
Language
English
Article Type
Article
Keywords

ALDEHYDE/ALCOHOL DEHYDROGENASE GENE; ESCHERICHIA-COLI; SACCHAROMYCES-CEREVISIAE; BUTANOL PRODUCTION; PICHIA-STIPITIS; BUTYRATE KINASE; ACETONE; EXPRESSION; SYSTEMS; ACID

Citation

APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, v.80, no.5, pp.849 - 862

ISSN
0175-7598
DOI
10.1007/s00253-008-1654-4
URI
http://hdl.handle.net/10203/21053
Appears in Collection
CBE-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 127 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0