Progress in Metabolic Engineering of Saccharomyces cerevisiae

Nevoigt, Elke

doi:10.1128/mmbr.00025-07

Cited by 595

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Progress in Metabolic Engineering of Saccharomyces cerevisiae

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Nevoigt, Elke·2008·Microbiology and Molecular Biology Reviews

DOI 10.1128/mmbr.00025-07

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Abstract

SUMMARY: The traditional use of the yeast Saccharomyces cerevisiae in alcoholic fermentation has, over time, resulted in substantial accumulated knowledge concerning genetics, physiology, and biochemistry as well as genetic engineering and fermentation technologies. S. cerevisiae has become a platform organism for developing metabolic engineering strategies, methods, and tools. The current review discusses the relevance of several engineering strategies, such as rational and inverse metabolic engineering, evolutionary engineering, and global transcription machinery engineering, in yeast strain improvement. It also summarizes existing tools for fine-tuning and regulating enzyme activities and thus metabolic pathways. Recent examples of yeast metabolic engineering for food, beverage, and industrial biotechnology (bioethanol and bulk and fine chemicals) follow. S. cerevisiae currently enjoys increasing popularity as a production organism in industrial (“white”) biotechnology due to its inherent tolerance of low pH values and high ethanol and inhibitor concentrations and its ability to grow anaerobically. Attention is paid to utilizing lignocellulosic biomass as a potential substrate.

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Authors: Nevoigt, E.
Venue: Microbiology and Molecular Biology Reviews
Publisher: American Society for Microbiology
Published: 2008-09
Volume: 72
Issue: 3
Pages: 379-412
ISSN: 1092-2172 (ISSN-L)
1098-5557
DOI: 10.1128/mmbr.00025-07
OpenAlex: W2102957972
Cited by: 595
References: 14
FWCI: 1.66
Type: journal article
Language: en
Open access: green
Licence: journals.asm.org/non-commercial-tdm-license (tdm)

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.

Progress in Metabolic Engineering of Saccharomyces cerevisiae

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