Dynamic genome‐scale modeling of Saccharomyces cerevisiae unravels mechanisms for ester formation during alcoholic fermentation

15 pages, 5 figures, 1 table.-- This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License

Detalles Bibliográficos
Autores: Scott, William T., Henriques, David, Smid, Eddy J., Notebaart, Richard A., Balsa-Canto, Eva
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/329446
Acceso en línea:http://hdl.handle.net/10261/329446
Access Level:acceso abierto
Palabra clave:Dynamic flux balance analysis (dFBA)
Esters
Fermentation
Metabolic modeling
Systems biology
Wine
Yeast
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spelling Dynamic genome‐scale modeling of Saccharomyces cerevisiae unravels mechanisms for ester formation during alcoholic fermentationScott, William T.Henriques, DavidSmid, Eddy J.Notebaart, Richard A.Balsa-Canto, EvaDynamic flux balance analysis (dFBA)EstersFermentationMetabolic modelingSystems biologyWineYeast15 pages, 5 figures, 1 table.-- This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs LicenseFermentation employing Saccharomyces cerevisiae has produced alcoholic beverages and bread for millennia. More recently, S. cerevisiae has been used to manufacture specific metabolites for the food, pharmaceutical, and cosmetic industries. Among the most important of these metabolites are compounds associated with desirable aromas and flavors, including higher alcohols and esters. Although the physiology of yeast has been well-studied, its metabolic modulation leading to aroma production in relevant industrial scenarios such as winemaking is still unclear. Here we ask what are the underlying metabolic mechanisms that explain the conserved and varying behavior of different yeasts regarding aroma formation under enological conditions? We employed dynamic flux balance analysis (dFBA) to answer this key question using the latest genome-scale metabolic model (GEM) of S. cerevisiae. The model revealed several conserved mechanisms among wine yeasts, for example, acetate ester formation is dependent on intracellular metabolic acetyl-CoA/CoA levels, and the formation of ethyl esters facilitates the removal of toxic fatty acids from cells using CoA. Species-specific mechanisms were also found, such as a preference for the shikimate pathway leading to more 2-phenylethanol production in the Opale strain as well as strain behavior varying notably during the carbohydrate accumulation phase and carbohydrate accumulation inducing redox restrictions during a later cell growth phase for strain Uvaferm. In conclusion, our new metabolic model of yeast under enological conditions revealed key metabolic mechanisms in wine yeasts, which will aid future research strategies to optimize their behavior in industrial settingsE. B-C. acknowledges funding from MCIU/AEI/FEDER, UE (grant reference: PID2021-126380OB-C32), and Xunta de Galicia (IN607B 2020/03)NoJohn Wiley & SonsMinisterio de Ciencia e Innovación (España)Xunta de GaliciaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/329446reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésThe underlying dataset has been published as supplementary material of the article in the publishers platform at DOI https://doi.org/10.1002/bit.28421https://doi.org/10.1002/bit.28421Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3294462026-05-22T06:33:51Z
dc.title.none.fl_str_mv Dynamic genome‐scale modeling of Saccharomyces cerevisiae unravels mechanisms for ester formation during alcoholic fermentation
title Dynamic genome‐scale modeling of Saccharomyces cerevisiae unravels mechanisms for ester formation during alcoholic fermentation
spellingShingle Dynamic genome‐scale modeling of Saccharomyces cerevisiae unravels mechanisms for ester formation during alcoholic fermentation
Scott, William T.
Dynamic flux balance analysis (dFBA)
Esters
Fermentation
Metabolic modeling
Systems biology
Wine
Yeast
title_short Dynamic genome‐scale modeling of Saccharomyces cerevisiae unravels mechanisms for ester formation during alcoholic fermentation
title_full Dynamic genome‐scale modeling of Saccharomyces cerevisiae unravels mechanisms for ester formation during alcoholic fermentation
title_fullStr Dynamic genome‐scale modeling of Saccharomyces cerevisiae unravels mechanisms for ester formation during alcoholic fermentation
title_full_unstemmed Dynamic genome‐scale modeling of Saccharomyces cerevisiae unravels mechanisms for ester formation during alcoholic fermentation
title_sort Dynamic genome‐scale modeling of Saccharomyces cerevisiae unravels mechanisms for ester formation during alcoholic fermentation
dc.creator.none.fl_str_mv Scott, William T.
Henriques, David
Smid, Eddy J.
Notebaart, Richard A.
Balsa-Canto, Eva
author Scott, William T.
author_facet Scott, William T.
Henriques, David
Smid, Eddy J.
Notebaart, Richard A.
Balsa-Canto, Eva
author_role author
author2 Henriques, David
Smid, Eddy J.
Notebaart, Richard A.
Balsa-Canto, Eva
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Xunta de Galicia
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Dynamic flux balance analysis (dFBA)
Esters
Fermentation
Metabolic modeling
Systems biology
Wine
Yeast
topic Dynamic flux balance analysis (dFBA)
Esters
Fermentation
Metabolic modeling
Systems biology
Wine
Yeast
description 15 pages, 5 figures, 1 table.-- This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/329446
url http://hdl.handle.net/10261/329446
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv The underlying dataset has been published as supplementary material of the article in the publishers platform at DOI https://doi.org/10.1002/bit.28421
https://doi.org/10.1002/bit.28421
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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