Estimation of metabolic fluxes distribution in Saccharomyces cerevisiae during the production of volatile compounds of Tequila

A stoichiometric model for Saccharomyces cerevisiae is reconstructed to analyze the continuous fermentation process of agave juice in Tequila production. The metabolic model contains 94 metabolites and 117 biochemical reactions. From the above set of reactions, 93 of them are linked to internal bioc...

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Autores principales: José Daniel Padilla-de la-Rosa, Mario Alberto García-Ramírez, Anne Christine Gschaedler-Mathis, Abril Ivette Gómez-Guzmán, Josué R. Solís-Pacheco, Orfil González-Reynoso
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Publicado: AIMS Press 2021
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Acceso en línea:https://doaj.org/article/dee537d1529a4ac3aa0b93d6760c95ca
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spelling oai:doaj.org-article:dee537d1529a4ac3aa0b93d6760c95ca2021-11-08T05:44:31ZEstimation of metabolic fluxes distribution in Saccharomyces cerevisiae during the production of volatile compounds of Tequila10.3934/mbe.20212591551-0018https://doaj.org/article/dee537d1529a4ac3aa0b93d6760c95ca2021-07-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021259?viewType=HTMLhttps://doaj.org/toc/1551-0018A stoichiometric model for Saccharomyces cerevisiae is reconstructed to analyze the continuous fermentation process of agave juice in Tequila production. The metabolic model contains 94 metabolites and 117 biochemical reactions. From the above set of reactions, 93 of them are linked to internal biochemical reactions and 24 are related to transport fluxes between the medium and the cell. The central metabolism of S. cerevisiae includes the synthesis for 20 amino-acids, carbohydrates, lipids, DNA and RNA. Using flux balance analysis (FBA), different physiological states of S. cerevisiae are shown during the fermentative process; these states are compared with experimental data under different dilution rates (0.04-0.12 h$ ^{-1} $). Moreover, the model performs anabolic and catabolic biochemical reactions for the production of higher alcohols. The importance of the Saccharomyces cerevisiae genomic model in the area of alcoholic beverage fermentation is due to the fact that it allows to estimate the metabolic fluxes during the beverage fermentation process and a physiology state of the microorganism.José Daniel Padilla-de la-RosaMario Alberto García-RamírezAnne Christine Gschaedler-MathisAbril Ivette Gómez-Guzmán Josué R. Solís-PachecoOrfil González-ReynosoAIMS Pressarticleflux balance analysissaccharomyces cerevisiaetequilafermentationhigher alcoholsBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 5094-5113 (2021)
institution DOAJ
collection DOAJ
language EN
topic flux balance analysis
saccharomyces cerevisiae
tequila
fermentation
higher alcohols
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
spellingShingle flux balance analysis
saccharomyces cerevisiae
tequila
fermentation
higher alcohols
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
José Daniel Padilla-de la-Rosa
Mario Alberto García-Ramírez
Anne Christine Gschaedler-Mathis
Abril Ivette Gómez-Guzmán
Josué R. Solís-Pacheco
Orfil González-Reynoso
Estimation of metabolic fluxes distribution in Saccharomyces cerevisiae during the production of volatile compounds of Tequila
description A stoichiometric model for Saccharomyces cerevisiae is reconstructed to analyze the continuous fermentation process of agave juice in Tequila production. The metabolic model contains 94 metabolites and 117 biochemical reactions. From the above set of reactions, 93 of them are linked to internal biochemical reactions and 24 are related to transport fluxes between the medium and the cell. The central metabolism of S. cerevisiae includes the synthesis for 20 amino-acids, carbohydrates, lipids, DNA and RNA. Using flux balance analysis (FBA), different physiological states of S. cerevisiae are shown during the fermentative process; these states are compared with experimental data under different dilution rates (0.04-0.12 h$ ^{-1} $). Moreover, the model performs anabolic and catabolic biochemical reactions for the production of higher alcohols. The importance of the Saccharomyces cerevisiae genomic model in the area of alcoholic beverage fermentation is due to the fact that it allows to estimate the metabolic fluxes during the beverage fermentation process and a physiology state of the microorganism.
format article
author José Daniel Padilla-de la-Rosa
Mario Alberto García-Ramírez
Anne Christine Gschaedler-Mathis
Abril Ivette Gómez-Guzmán
Josué R. Solís-Pacheco
Orfil González-Reynoso
author_facet José Daniel Padilla-de la-Rosa
Mario Alberto García-Ramírez
Anne Christine Gschaedler-Mathis
Abril Ivette Gómez-Guzmán
Josué R. Solís-Pacheco
Orfil González-Reynoso
author_sort José Daniel Padilla-de la-Rosa
title Estimation of metabolic fluxes distribution in Saccharomyces cerevisiae during the production of volatile compounds of Tequila
title_short Estimation of metabolic fluxes distribution in Saccharomyces cerevisiae during the production of volatile compounds of Tequila
title_full Estimation of metabolic fluxes distribution in Saccharomyces cerevisiae during the production of volatile compounds of Tequila
title_fullStr Estimation of metabolic fluxes distribution in Saccharomyces cerevisiae during the production of volatile compounds of Tequila
title_full_unstemmed Estimation of metabolic fluxes distribution in Saccharomyces cerevisiae during the production of volatile compounds of Tequila
title_sort estimation of metabolic fluxes distribution in saccharomyces cerevisiae during the production of volatile compounds of tequila
publisher AIMS Press
publishDate 2021
url https://doaj.org/article/dee537d1529a4ac3aa0b93d6760c95ca
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