Rewiring yeast metabolism to synthesize products beyond ethanol
Abstract
Saccharomyces cerevisiae, Baker’s yeast, is the industrial workhorse for producing ethanol and the subject of substantial metabolic engineering research in both industry and academia. S. cerevisiae has been used to demonstrate pro- duction of a wide range of chemical products from glucose. However, in many cases, the demonstrations report titers and yields that fall below thresholds for industrial feasibility. Ethanol synthesis is a central part of S. cerevisiae metabolism, and redirecting flux to other products remains a barrier to indus- trialize strains for producing other molecules. Removing ethanol producing pathways leads to poor fitness, such as impaired growth on glucose. Here, we review metabolic engi- neering efforts aimed at restoring growth in non-ethanol pro- ducing strains with emphasis on relieving glucose repression associated with the Crabtree effect and rewiring metabolism to provide access to critical cellular building blocks. Substantial progress has been made in the past decade, but many op- portunities for improvement remain.
- Publication Date:
- Research Org.:
- Univ. of Wisconsin, Madison, WI (United States); Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1670202
- Alternate Identifier(s):
- OSTI ID: 1670240; OSTI ID: 1764307
- Grant/Contract Number:
- SC0018409; SC0018420
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Current Opinion in Chemical Biology
- Additional Journal Information:
- Journal Volume: 59; Journal ID: ISSN 1367-5931
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; Yeast; Saccharomyces cerevisiae; Crabtree–Warburg effect; Metabolic engineering; Pyruvate decarboxylase deficient; Glucose; Ethanol; Acetyl-CoA; Adaptive laboratory evolution
Citation Formats
Gambacorta, Francesca V., Dietrich, Joshua J., Yan, Qiang, and Pfleger, Brian F. Rewiring yeast metabolism to synthesize products beyond ethanol. United States: N. p., 2020.
Web. doi:10.1016/j.cbpa.2020.08.005.
Gambacorta, Francesca V., Dietrich, Joshua J., Yan, Qiang, & Pfleger, Brian F. Rewiring yeast metabolism to synthesize products beyond ethanol. United States. https://doi.org/10.1016/j.cbpa.2020.08.005
Gambacorta, Francesca V., Dietrich, Joshua J., Yan, Qiang, and Pfleger, Brian F. Mon .
"Rewiring yeast metabolism to synthesize products beyond ethanol". United States. https://doi.org/10.1016/j.cbpa.2020.08.005. https://www.osti.gov/servlets/purl/1670202.
@article{osti_1670202,
title = {Rewiring yeast metabolism to synthesize products beyond ethanol},
author = {Gambacorta, Francesca V. and Dietrich, Joshua J. and Yan, Qiang and Pfleger, Brian F.},
abstractNote = {Saccharomyces cerevisiae, Baker’s yeast, is the industrial workhorse for producing ethanol and the subject of substantial metabolic engineering research in both industry and academia. S. cerevisiae has been used to demonstrate pro- duction of a wide range of chemical products from glucose. However, in many cases, the demonstrations report titers and yields that fall below thresholds for industrial feasibility. Ethanol synthesis is a central part of S. cerevisiae metabolism, and redirecting flux to other products remains a barrier to indus- trialize strains for producing other molecules. Removing ethanol producing pathways leads to poor fitness, such as impaired growth on glucose. Here, we review metabolic engi- neering efforts aimed at restoring growth in non-ethanol pro- ducing strains with emphasis on relieving glucose repression associated with the Crabtree effect and rewiring metabolism to provide access to critical cellular building blocks. Substantial progress has been made in the past decade, but many op- portunities for improvement remain.},
doi = {10.1016/j.cbpa.2020.08.005},
journal = {Current Opinion in Chemical Biology},
number = ,
volume = 59,
place = {United States},
year = {Mon Oct 05 00:00:00 EDT 2020},
month = {Mon Oct 05 00:00:00 EDT 2020}
}
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