Microbial 1-butanol production: Identification of non-native production routes and in silico engineering interventions

Sridhar Ranganathan, Costas D. Maranas

Research output: Contribution to journalArticle

34 Scopus citations

Abstract

The potential of engineering microorganisms with non-native pathways for the synthesis of longchain alcohols has been identified as a promising route to biofuels. We describe computationally derived predictions for assembling pathways for the production of biofuel candidate molecules and subsequent metabolic engineering modifications that optimize product yield. A graph-based algorithm illustrates that, by culling information from BRENDA and KEGG databases, all possible pathways that link the target product with metabolites present in the production host are identified. Subsequently, we apply our recent OptForce procedure to pinpoint reaction modifications that force the imposed product yield in Escherichia coli. We demonstrate this procedure by suggesting new pathways and genetic interventions for the overproduction of 1-butanol using the metabolic model for Escherichia coli. The graph-based search method recapitulates all recent discoveries based on the 2-ketovaline intermediate and hydroxybutyryl-CoA but also pinpointes one novel pathway through thiobutanoate intermediate that to the best of our knowledge has not been explored before.

Original languageEnglish (US)
Pages (from-to)716-725
Number of pages10
JournalBiotechnology Journal
Volume5
Issue number7
DOIs
StatePublished - Jul 2010

All Science Journal Classification (ASJC) codes

  • Applied Microbiology and Biotechnology
  • Molecular Medicine

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