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Exploring yeast interactions through metabolic profiling

As a complex microbial ecosystem, wine is a particularly interesting model for studying interactions between microorganisms as fermentation can be done by microbial consortia, a unique strain or mixed culture. The effect of a specific yeast strain on its environments is unique and characterized by i...

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Autores principales: Roullier-Gall, C., David, V., Hemmler, D., Schmitt-Kopplin, P., Alexandre, H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142100/
https://www.ncbi.nlm.nih.gov/pubmed/32269331
http://dx.doi.org/10.1038/s41598-020-63182-6
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author Roullier-Gall, C.
David, V.
Hemmler, D.
Schmitt-Kopplin, P.
Alexandre, H.
author_facet Roullier-Gall, C.
David, V.
Hemmler, D.
Schmitt-Kopplin, P.
Alexandre, H.
author_sort Roullier-Gall, C.
collection PubMed
description As a complex microbial ecosystem, wine is a particularly interesting model for studying interactions between microorganisms as fermentation can be done by microbial consortia, a unique strain or mixed culture. The effect of a specific yeast strain on its environments is unique and characterized by its metabolites and their concentration. With its great resolution and excellent mass accuracy, ultrahigh resolution mass spectrometry (uHRMS) is the perfect tool to analyze the yeast metabolome at the end of alcoholic fermentation. This work reports the change in wine chemical composition from pure and mixed culture fermentation with Lachancea thermotolerans, Starmerella bacillaris, Metschnikowia pulcherrima and S. cerevisiae. We could clearly differentiate wines according to the yeast strain used in single cultures and markers, which reflect important differences between the yeast species, were extracted and annotated. Moreover, uHRMS revealed underlining intra species metabolomics differences, showing differences at the strain level between the two Starmerella bacillaris. Non volatile metabolomics analysis of single and sequential fermentations confirmed that mixed fermentations lead to a different composition. Distinct metabolites appeared in wines from sequential fermentation compared to single fermentation. This suggests that interactions between yeasts are not neutral.
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spelling pubmed-71421002020-04-11 Exploring yeast interactions through metabolic profiling Roullier-Gall, C. David, V. Hemmler, D. Schmitt-Kopplin, P. Alexandre, H. Sci Rep Article As a complex microbial ecosystem, wine is a particularly interesting model for studying interactions between microorganisms as fermentation can be done by microbial consortia, a unique strain or mixed culture. The effect of a specific yeast strain on its environments is unique and characterized by its metabolites and their concentration. With its great resolution and excellent mass accuracy, ultrahigh resolution mass spectrometry (uHRMS) is the perfect tool to analyze the yeast metabolome at the end of alcoholic fermentation. This work reports the change in wine chemical composition from pure and mixed culture fermentation with Lachancea thermotolerans, Starmerella bacillaris, Metschnikowia pulcherrima and S. cerevisiae. We could clearly differentiate wines according to the yeast strain used in single cultures and markers, which reflect important differences between the yeast species, were extracted and annotated. Moreover, uHRMS revealed underlining intra species metabolomics differences, showing differences at the strain level between the two Starmerella bacillaris. Non volatile metabolomics analysis of single and sequential fermentations confirmed that mixed fermentations lead to a different composition. Distinct metabolites appeared in wines from sequential fermentation compared to single fermentation. This suggests that interactions between yeasts are not neutral. Nature Publishing Group UK 2020-04-08 /pmc/articles/PMC7142100/ /pubmed/32269331 http://dx.doi.org/10.1038/s41598-020-63182-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Roullier-Gall, C.
David, V.
Hemmler, D.
Schmitt-Kopplin, P.
Alexandre, H.
Exploring yeast interactions through metabolic profiling
title Exploring yeast interactions through metabolic profiling
title_full Exploring yeast interactions through metabolic profiling
title_fullStr Exploring yeast interactions through metabolic profiling
title_full_unstemmed Exploring yeast interactions through metabolic profiling
title_short Exploring yeast interactions through metabolic profiling
title_sort exploring yeast interactions through metabolic profiling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142100/
https://www.ncbi.nlm.nih.gov/pubmed/32269331
http://dx.doi.org/10.1038/s41598-020-63182-6
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