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Engineering strategy of yeast metabolism for higher alcohol production

BACKGROUND: While Saccharomyces cerevisiae is a promising host for cost-effective biorefinary processes due to its tolerance to various stresses during fermentation, the metabolically engineered S. cerevisiae strains exhibited rather limited production of higher alcohols than that of Escherichia col...

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Autores principales: Matsuda, Fumio, Furusawa, Chikara, Kondo, Takashi, Ishii, Jun, Shimizu, Hiroshi, Kondo, Akihiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184262/
https://www.ncbi.nlm.nih.gov/pubmed/21902829
http://dx.doi.org/10.1186/1475-2859-10-70
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author Matsuda, Fumio
Furusawa, Chikara
Kondo, Takashi
Ishii, Jun
Shimizu, Hiroshi
Kondo, Akihiko
author_facet Matsuda, Fumio
Furusawa, Chikara
Kondo, Takashi
Ishii, Jun
Shimizu, Hiroshi
Kondo, Akihiko
author_sort Matsuda, Fumio
collection PubMed
description BACKGROUND: While Saccharomyces cerevisiae is a promising host for cost-effective biorefinary processes due to its tolerance to various stresses during fermentation, the metabolically engineered S. cerevisiae strains exhibited rather limited production of higher alcohols than that of Escherichia coli. Since the structure of the central metabolism of S. cerevisiae is distinct from that of E. coli, there might be a problem in the structure of the central metabolism of S. cerevisiae. In this study, the potential production of higher alcohols by S. cerevisiae is compared to that of E. coli by employing metabolic simulation techniques. Based on the simulation results, novel metabolic engineering strategies for improving higher alcohol production by S. cerevisiae were investigated by in silico modifications of the metabolic models of S. cerevisiae. RESULTS: The metabolic simulations confirmed that the high production of butanols and propanols by the metabolically engineered E. coli strains is derived from the flexible behavior of their central metabolism. Reducing this flexibility by gene deletion is an effective strategy to restrict the metabolic states for producing target alcohols. In contrast, the lower yield using S. cerevisiae originates from the structurally limited flexibility of its central metabolism in which gene deletions severely reduced cell growth. CONCLUSIONS: The metabolic simulation demonstrated that the poor productivity of S. cerevisiae was improved by the introduction of E. coli genes to compensate the structural difference. This suggested that gene supplementation is a promising strategy for the metabolic engineering of S. cerevisiae to produce higher alcohols which should be the next challenge for the synthetic bioengineering of S. cerevisiae for the efficient production of higher alcohols.
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spelling pubmed-31842622011-10-02 Engineering strategy of yeast metabolism for higher alcohol production Matsuda, Fumio Furusawa, Chikara Kondo, Takashi Ishii, Jun Shimizu, Hiroshi Kondo, Akihiko Microb Cell Fact Research BACKGROUND: While Saccharomyces cerevisiae is a promising host for cost-effective biorefinary processes due to its tolerance to various stresses during fermentation, the metabolically engineered S. cerevisiae strains exhibited rather limited production of higher alcohols than that of Escherichia coli. Since the structure of the central metabolism of S. cerevisiae is distinct from that of E. coli, there might be a problem in the structure of the central metabolism of S. cerevisiae. In this study, the potential production of higher alcohols by S. cerevisiae is compared to that of E. coli by employing metabolic simulation techniques. Based on the simulation results, novel metabolic engineering strategies for improving higher alcohol production by S. cerevisiae were investigated by in silico modifications of the metabolic models of S. cerevisiae. RESULTS: The metabolic simulations confirmed that the high production of butanols and propanols by the metabolically engineered E. coli strains is derived from the flexible behavior of their central metabolism. Reducing this flexibility by gene deletion is an effective strategy to restrict the metabolic states for producing target alcohols. In contrast, the lower yield using S. cerevisiae originates from the structurally limited flexibility of its central metabolism in which gene deletions severely reduced cell growth. CONCLUSIONS: The metabolic simulation demonstrated that the poor productivity of S. cerevisiae was improved by the introduction of E. coli genes to compensate the structural difference. This suggested that gene supplementation is a promising strategy for the metabolic engineering of S. cerevisiae to produce higher alcohols which should be the next challenge for the synthetic bioengineering of S. cerevisiae for the efficient production of higher alcohols. BioMed Central 2011-09-08 /pmc/articles/PMC3184262/ /pubmed/21902829 http://dx.doi.org/10.1186/1475-2859-10-70 Text en Copyright ©2011 Matsuda et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Matsuda, Fumio
Furusawa, Chikara
Kondo, Takashi
Ishii, Jun
Shimizu, Hiroshi
Kondo, Akihiko
Engineering strategy of yeast metabolism for higher alcohol production
title Engineering strategy of yeast metabolism for higher alcohol production
title_full Engineering strategy of yeast metabolism for higher alcohol production
title_fullStr Engineering strategy of yeast metabolism for higher alcohol production
title_full_unstemmed Engineering strategy of yeast metabolism for higher alcohol production
title_short Engineering strategy of yeast metabolism for higher alcohol production
title_sort engineering strategy of yeast metabolism for higher alcohol production
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3184262/
https://www.ncbi.nlm.nih.gov/pubmed/21902829
http://dx.doi.org/10.1186/1475-2859-10-70
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