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The Vineyard Yeast Microbiome, a Mixed Model Microbial Map

Vineyards harbour a wide variety of microorganisms that play a pivotal role in pre- and post-harvest grape quality and will contribute significantly to the final aromatic properties of wine. The aim of the current study was to investigate the spatial distribution of microbial communities within and...

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Autores principales: Setati, Mathabatha Evodia, Jacobson, Daniel, Andong, Ursula-Claire, Bauer, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530458/
https://www.ncbi.nlm.nih.gov/pubmed/23300721
http://dx.doi.org/10.1371/journal.pone.0052609
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author Setati, Mathabatha Evodia
Jacobson, Daniel
Andong, Ursula-Claire
Bauer, Florian
author_facet Setati, Mathabatha Evodia
Jacobson, Daniel
Andong, Ursula-Claire
Bauer, Florian
author_sort Setati, Mathabatha Evodia
collection PubMed
description Vineyards harbour a wide variety of microorganisms that play a pivotal role in pre- and post-harvest grape quality and will contribute significantly to the final aromatic properties of wine. The aim of the current study was to investigate the spatial distribution of microbial communities within and between individual vineyard management units. For the first time in such a study, we applied the Theory of Sampling (TOS) to sample gapes from adjacent and well established commercial vineyards within the same terroir unit and from several sampling points within each individual vineyard. Cultivation-based and molecular data sets were generated to capture the spatial heterogeneity in microbial populations within and between vineyards and analysed with novel mixed-model networks, which combine sample correlations and microbial community distribution probabilities. The data demonstrate that farming systems have a significant impact on fungal diversity but more importantly that there is significant species heterogeneity between samples in the same vineyard. Cultivation-based methods confirmed that while the same oxidative yeast species dominated in all vineyards, the least treated vineyard displayed significantly higher species richness, including many yeasts with biocontrol potential. The cultivatable yeast population was not fully representative of the more complex populations seen with molecular methods, and only the molecular data allowed discrimination amongst farming practices with multivariate and network analysis methods. Importantly, yeast species distribution is subject to significant intra-vineyard spatial fluctuations and the frequently reported heterogeneity of tank samples of grapes harvested from single vineyards at the same stage of ripeness might therefore, at least in part, be due to the differing microbiota in different sections of the vineyard.
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spelling pubmed-35304582013-01-08 The Vineyard Yeast Microbiome, a Mixed Model Microbial Map Setati, Mathabatha Evodia Jacobson, Daniel Andong, Ursula-Claire Bauer, Florian PLoS One Research Article Vineyards harbour a wide variety of microorganisms that play a pivotal role in pre- and post-harvest grape quality and will contribute significantly to the final aromatic properties of wine. The aim of the current study was to investigate the spatial distribution of microbial communities within and between individual vineyard management units. For the first time in such a study, we applied the Theory of Sampling (TOS) to sample gapes from adjacent and well established commercial vineyards within the same terroir unit and from several sampling points within each individual vineyard. Cultivation-based and molecular data sets were generated to capture the spatial heterogeneity in microbial populations within and between vineyards and analysed with novel mixed-model networks, which combine sample correlations and microbial community distribution probabilities. The data demonstrate that farming systems have a significant impact on fungal diversity but more importantly that there is significant species heterogeneity between samples in the same vineyard. Cultivation-based methods confirmed that while the same oxidative yeast species dominated in all vineyards, the least treated vineyard displayed significantly higher species richness, including many yeasts with biocontrol potential. The cultivatable yeast population was not fully representative of the more complex populations seen with molecular methods, and only the molecular data allowed discrimination amongst farming practices with multivariate and network analysis methods. Importantly, yeast species distribution is subject to significant intra-vineyard spatial fluctuations and the frequently reported heterogeneity of tank samples of grapes harvested from single vineyards at the same stage of ripeness might therefore, at least in part, be due to the differing microbiota in different sections of the vineyard. Public Library of Science 2012-12-26 /pmc/articles/PMC3530458/ /pubmed/23300721 http://dx.doi.org/10.1371/journal.pone.0052609 Text en © 2012 Setati et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Setati, Mathabatha Evodia
Jacobson, Daniel
Andong, Ursula-Claire
Bauer, Florian
The Vineyard Yeast Microbiome, a Mixed Model Microbial Map
title The Vineyard Yeast Microbiome, a Mixed Model Microbial Map
title_full The Vineyard Yeast Microbiome, a Mixed Model Microbial Map
title_fullStr The Vineyard Yeast Microbiome, a Mixed Model Microbial Map
title_full_unstemmed The Vineyard Yeast Microbiome, a Mixed Model Microbial Map
title_short The Vineyard Yeast Microbiome, a Mixed Model Microbial Map
title_sort vineyard yeast microbiome, a mixed model microbial map
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530458/
https://www.ncbi.nlm.nih.gov/pubmed/23300721
http://dx.doi.org/10.1371/journal.pone.0052609
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