Literature DB >> 11101808

Increasing galactose consumption by Saccharomyces cerevisiae through metabolic engineering of the GAL gene regulatory network.

S Ostergaard1, L Olsson, M Johnston, J Nielsen.   

Abstract

Increasing the flux through central carbon metabolism is difficult because of rigidity in regulatory structures, at both the genetic and the enzymatic levels. Here we describe metabolic engineering of a regulatory network to obtain a balanced increase in the activity of all the enzymes in the pathway, and ultimately, increasing metabolic flux through the pathway of interest. By manipulating the GAL gene regulatory network of Saccharomyces cerevisiae, which is a tightly regulated system, we produced prototroph mutant strains, which increased the flux through the galactose utilization pathway by eliminating three known negative regulators of the GAL system: Gal6, Gal80, and Mig1. This led to a 41% increase in flux through the galactose utilization pathway compared with the wild-type strain. This is of significant interest within the field of biotechnology since galactose is present in many industrial media. The improved galactose consumption of the gal mutants did not favor biomass formation, but rather caused excessive respiro-fermentative metabolism, with the ethanol production rate increasing linearly with glycolytic flux.

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Year:  2000        PMID: 11101808     DOI: 10.1038/82400

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  32 in total

1.  Improvement of galactose uptake in Saccharomyces cerevisiae through overexpression of phosphoglucomutase: example of transcript analysis as a tool in inverse metabolic engineering.

Authors:  Christoffer Bro; Steen Knudsen; Birgitte Regenberg; Lisbeth Olsson; Jens Nielsen
Journal:  Appl Environ Microbiol       Date:  2005-11       Impact factor: 4.792

Review 2.  Metabolic engineering in the -omics era: elucidating and modulating regulatory networks.

Authors:  Goutham N Vemuri; Aristos A Aristidou
Journal:  Microbiol Mol Biol Rev       Date:  2005-06       Impact factor: 11.056

Review 3.  Engineering for biofuels: exploiting innate microbial capacity or importing biosynthetic potential?

Authors:  Hal Alper; Gregory Stephanopoulos
Journal:  Nat Rev Microbiol       Date:  2009-10       Impact factor: 60.633

4.  Cofermentation of cellobiose and galactose by an engineered Saccharomyces cerevisiae strain.

Authors:  Suk-Jin Ha; Qiaosi Wei; Soo Rin Kim; Jonathan M Galazka; Jamie H D Cate; Jamie Cate; Yong-Su Jin
Journal:  Appl Environ Microbiol       Date:  2011-06-24       Impact factor: 4.792

5.  Springing into Action: Reg2 Negatively Regulates Snf1 Protein Kinase and Facilitates Recovery from Prolonged Glucose Starvation in Saccharomyces cerevisiae.

Authors:  Marcin Maziarz; Aishwarya Shevade; LaKisha Barrett; Sergei Kuchin
Journal:  Appl Environ Microbiol       Date:  2016-06-13       Impact factor: 4.792

6.  Coordinated gene regulation in the initial phase of salt stress adaptation.

Authors:  Elena Vanacloig-Pedros; Carolina Bets-Plasencia; Amparo Pascual-Ahuir; Markus Proft
Journal:  J Biol Chem       Date:  2015-03-05       Impact factor: 5.157

Review 7.  Metabolic engineering of Saccharomyces cerevisiae: a key cell factory platform for future biorefineries.

Authors:  Kuk-Ki Hong; Jens Nielsen
Journal:  Cell Mol Life Sci       Date:  2012-03-03       Impact factor: 9.261

8.  PGM2 overexpression improves anaerobic galactose fermentation in Saccharomyces cerevisiae.

Authors:  Rosa Garcia Sanchez; Bärbel Hahn-Hägerdal; Marie F Gorwa-Grauslund
Journal:  Microb Cell Fact       Date:  2010-05-27       Impact factor: 5.328

9.  Construction of lactose-consuming Saccharomyces cerevisiae for lactose fermentation into ethanol fuel.

Authors:  Jing Zou; Xuewu Guo; Tong Shen; Jian Dong; Cuiying Zhang; Dongguang Xiao
Journal:  J Ind Microbiol Biotechnol       Date:  2013-01-24       Impact factor: 3.346

10.  Scalable steady state analysis of Boolean biological regulatory networks.

Authors:  Ferhat Ay; Fei Xu; Tamer Kahveci
Journal:  PLoS One       Date:  2009-12-01       Impact factor: 3.240

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