SCI和EI收录∣中国化工学会会刊

›› 2008, Vol. 16 ›› Issue (1): 135-142.

• • 上一篇    下一篇

Elementary Flux Mode Analysis for Optimized Ethanol Yield in Anaerobic Fermentation of Glucose with Saccharomyces cerevisiae

许晓菁, 曹利民, 陈询   

  1. Department of Biochemical Engineering, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, China
  • 收稿日期:2007-04-19 修回日期:2007-08-11 出版日期:2008-02-28 发布日期:2008-02-28
  • 通讯作者: XU Xiaojing, E-mail: susy8470@yahoo.com.cn
  • 基金资助:
    the National Natural Science Foundation of China (No.2002AA647040).

Elementary Flux Mode Analysis for Optimized Ethanol Yield in Anaerobic Fermentation of Glucose with Saccharomyces cerevisiae

XU Xiaojing, CAO Limin, CHEN Xun   

  1. Department of Biochemical Engineering, School of Chemical Engineering & Technology, Tianjin University, Tianjin 300072, China
  • Received:2007-04-19 Revised:2007-08-11 Online:2008-02-28 Published:2008-02-28
  • Supported by:
    the National Natural Science Foundation of China (No.2002AA647040).

摘要: Elementary flux mode (EFM) analysis was used in the metabolic analysis of central carbon metabolism in Saccharomyces cerevisiae based on constructed cellular network. Calculated from the metabolic model, the ethanol-producing pathway No. 37 furthest converts the substrate into ethanol among the 78 elementary flux modes. The in silico metabolic phenotypes predicted based on this analysis fit well with the fermentation performance of the engineered strains, KAM3 and KAM11, which confirmed that EFM analysis is valid to direct the construction of Saccharomyces cerevisiae engineered strains, to increase the ethanol yield.

关键词: elementary flux mode analysis, metabolic phenotype, redox balance, Saccharomyces cerevisiae, ethanol

Abstract: Elementary flux mode (EFM) analysis was used in the metabolic analysis of central carbon metabolism in Saccharomyces cerevisiae based on constructed cellular network. Calculated from the metabolic model, the ethanol-producing pathway No. 37 furthest converts the substrate into ethanol among the 78 elementary flux modes. The in silico metabolic phenotypes predicted based on this analysis fit well with the fermentation performance of the engineered strains, KAM3 and KAM11, which confirmed that EFM analysis is valid to direct the construction of Saccharomyces cerevisiae engineered strains, to increase the ethanol yield.

Key words: elementary flux mode analysis, metabolic phenotype, redox balance, Saccharomyces cerevisiae, ethanol