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In silico aided metabolic engineering of Saccharomyces cerevisiae for improved bioethanol production
Author(s): Bro C, Regenberg B, Forster J, Nielsen J
Source: METABOLIC ENGINEERING    Volume: 8    Issue: 2    Pages: 102-111    Published: MAR 2006  
Times Cited: 36     References: 36     
Abstract: In silico genome-scale cell models are promising tools for accelerating the design of cells with improved and desired properties. We demonstrated this by using a genome-scale reconstructed metabolic network of Saccharomyces cerevisiae to score a number of strategies for metabolic engineering of the redox metabolism that will lead to decreased glycerol and increased ethanol yields on glucose under anaerobic conditions. The best-scored strategies were predicted to completely eliminate formation of glycerol and increase ethanol yield with 10%. We successfully pursued one of the best strategies by expressing a non-phosphorylating, NADP+-dependent glyceraldehyde-3-phosphate dehydrogenase in S. cerevisiae. The resulting strain had a 40% lower glycerol yield on glucose while the ethanol yield increased with 3% without affecting the maximum specific growth rate. Similarly, expression of GAPN in a strain harbouring xylose reductase and xylitol dehydrogenase led to an improvement in ethanol yield by up to 25% on xylose/glucose mixtures. (c) 2005 Elsevier Inc. All rights reserved.
Document Type: Article
Language: English
Reprint Address: Nielsen, J (reprint author), Tech Univ Denmark, Ctr Microbial Biotechol, Bioctr, Bldg 223, DK-2800 Lyngby, Denmark
Addresses:
1. Tech Univ Denmark, Ctr Microbial Biotechol, Bioctr, DK-2800 Lyngby, Denmark
2. Fluxome Sci AS, DK-2800 Lyngby, Denmark
Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
Subject Category: Biotechnology & Applied Microbiology
IDS Number: 022JX
ISSN: 1096-7176
DOI: 10.1016/j.ymben.2005.09.007
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