Dynamic flux balance analysis for predicting gene overexpression effects in batch cultures Articles uri icon

authors

  • BARRETO RODRIGUEZ, CAROL MILENA
  • RAMIREZ ANGULO, JESSICA PAOLA
  • GOMEZ RAMIREZ, JORGE MARIO
  • ACHENIE, LUKE
  • MOLINA BULLA, HAROLD YESID
  • GONZALEZ BARRIOS, ANDRES FERNANDO

publication date

  • September 2014

issue

  • 3

volume

  • 22

International Standard Serial Number (ISSN)

  • 0218-3390

Electronic International Standard Serial Number (EISSN)

  • 1793-6470

abstract

  • The advent of numerous technological platforms for genome sequencing has led to increasing understanding and construction of metabolic networks. A popular system engineering strategy is used to analyze microbial metabolic networks is flux balance analysis (FBA). In recent times, there has been a lot of interest in the study of the metabolic network dynamics when genes are overexpressed in the system. Herein, an optimization framework, which employs dynamic flux balance analysis (DFBA) is proposed for predicting ethanol concentration profiles in glycerol fermentations using Escherichia coli. In silico results were experimentally validated by overexpressing alcohol/acetaldehyde dehydrogenase adhE, pyruvate kinase pykF, pyruvate formate-lyase pflB and isoleucine-valine enzymes ilvC and llvL.

keywords

  • dynamic flux balance analysis; escherichia coli; gene overexpression; ethanol; batch; escherichia-coli