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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Published inMathematical biosciences and engineering : MBE Vol. 18; no. 5; pp. 5094 - 5113
Main Authors la-Rosa, José Daniel Padilla-de, García-Ramírez, Mario Alberto, Gschaedler-Mathis, Anne Christine, Gómez-Guzmán, Abril Ivette, Solís-Pacheco, Josué R., González-Reynoso, Orfil
Format Journal Article
LanguageEnglish
Published AIMS Press 01.01.2021
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Abstract 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} $). Moreover, the model performs anabolic and catabolic biochemical reactions for the production of higher alcohols. The importance of the Saccharomyces cerevisiae genomic model in the area of alcoholic beverage fermentation is due to the fact that it allows to estimate the metabolic fluxes during the beverage fermentation process and a physiology state of the microorganism.
AbstractList A stoichiometric model for Saccharomyces cerevisiae is reconstructed to analyze the continuous fermentation process of agave juice in Tequila production. The metabolic model contains 94 metabolites and 117 biochemical reactions. From the above set of reactions, 93 of them are linked to internal biochemical reactions and 24 are related to transport fluxes between the medium and the cell. The central metabolism of S. cerevisiae includes the synthesis for 20 amino-acids, carbohydrates, lipids, DNA and RNA. Using flux balance analysis (FBA), different physiological states of S. cerevisiae are shown during the fermentative process; these states are compared with experimental data under different dilution rates (0.04-0.12 h$ ^{-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.
Author Gómez-Guzmán, Abril Ivette
González-Reynoso, Orfil
la-Rosa, José Daniel Padilla-de
Solís-Pacheco, Josué R.
García-Ramírez, Mario Alberto
Gschaedler-Mathis, Anne Christine
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Cites_doi 10.1002/jib.499
10.1186/s13568-016-0180-5
10.1016/j.ymben.2015.09.013
10.1046/j.1462-2920.2002.00282.x
10.1016/j.ijfoodmicro.2011.08.008
10.1016/j.lwt.2014.08.005
10.1016/j.jbiosc.2011.12.015
10.1093/database/bat059
10.1186/1471-2164-5-1
10.1186/1752-0509-2-1
10.1016/j.meteno.2016.05.002
10.1016/j.synbio.2017.02.002
10.1186/1752-0509-3-1
10.1101/gr.3992505
10.1016/j.femsyr.2003.12.004
10.1073/pnas.2235812100
10.1038/nbt.2870
10.1111/1750-3841.14031
10.1099/00221287-143-1-203
10.1021/jf9504172
10.1038/nbt.1614
10.1016/B978-012666260-3/50002-9
10.1101/gr.234503
10.1186/1752-0509-7-1
10.1023/A:1018362919846
10.1128/AEM.69.7.4076-4086.2003
10.1002/jsfa.3820
10.1016/j.copbio.2014.12.013
10.3109/07388559509150529
10.1016/j.biosystems.2016.06.001
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key-10.3934/mbe.2021259-5
key-10.3934/mbe.2021259-16
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  doi: 10.1002/jib.499
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  doi: 10.1016/j.ymben.2015.09.013
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  doi: 10.1046/j.1462-2920.2002.00282.x
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  doi: 10.1016/j.ijfoodmicro.2011.08.008
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  doi: 10.1016/j.lwt.2014.08.005
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  doi: 10.1093/database/bat059
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  doi: 10.1186/1471-2164-5-1
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  doi: 10.1186/1752-0509-2-1
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  doi: 10.1016/j.meteno.2016.05.002
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  doi: 10.1038/nbt.2870
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  doi: 10.1111/1750-3841.14031
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  doi: 10.1021/jf9504172
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  doi: 10.1038/nbt.1614
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  doi: 10.1016/B978-012666260-3/50002-9
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  doi: 10.1101/gr.234503
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  doi: 10.1186/1752-0509-7-1
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  doi: 10.1023/A:1018362919846
– ident: key-10.3934/mbe.2021259-28
– ident: key-10.3934/mbe.2021259-31
  doi: 10.1128/AEM.69.7.4076-4086.2003
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  doi: 10.3109/07388559509150529
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  doi: 10.1016/j.biosystems.2016.06.001
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SubjectTerms fermentation
flux balance analysis
higher alcohols
saccharomyces cerevisiae
tequila
Title Estimation of metabolic fluxes distribution in Saccharomyces cerevisiae during the production of volatile compounds of Tequila
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