Enhancing sesquiterpene production in Saccharomyces cerevisiae through in silico driven metabolic engineering
Journal article, 2009

A genome-scale metabolic model was used to identify new target genes for enhanced biosynthesis of sesquiterpenes in the yeast Saccharomyces cerevisiae. The effect of gene deletions on the flux distributions in the metabolic model of S. cerevisiae was assessed using Opt Gene as the modeling framework and minimization of metabolic adjustments (MOMA) as objective function. Deletion of NADPH-dependent glutamate dehydrogenase encoded by GDH1 was identified as the best target gene for the improvement of sesquiterpene biosynthesis in yeast. Deletion of this gene enhances the available NADPH in the cytosol for other NADPH requiring enzymes, including HMG-CoA reductase. However, since disruption of GDH1 impairs the ammonia utilization, simultaneous over-expression of the NADH-dependent glutamate dehydrogenase en coded by GDH2 was also considered in this study. Deletion of GDH1 led to an approximately 85% increase in the final cubebol titer. However, deletion of this gene also caused a significant decrease in the maximum specific growth rate. Over-expression of GDH2 did not show a further effect on the final cubebol titer but this alteration significantly improved the growth rate compared to the GDH1 deleted strain. (C) 2009 Elsevier Inc. All rights reserved.

beta-carotene

food yeast

biosynthesis

Saccharomyces cerevisiae

Sesquiterpene

Isoprenoid

yeast candida-utilis

Glutamate dehydrogenase

ammonium

high-level production

assimilation

glutamate-dehydrogenase

lycopene

escherichia-coli

catabolite repression

NADPH availability

Minimization of metabolic adjustments

Flux balance analysis

Cubebol

In silico metabolic engineering

Author

M. A. Asadollahi

J. Maury

K. R. Patil

M. Schalk

A. Clark

Jens B Nielsen

Chalmers, Chemical and Biological Engineering, Life Sciences

Metabolic Engineering

1096-7176 (ISSN) 1096-7184 (eISSN)

Vol. 11 6 328-334

Subject Categories

Microbiology

Areas of Advance

Life Science Engineering (2010-2018)

DOI

10.1016/j.ymben.2009.07.001

More information

Created

10/8/2017