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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2012-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3530458?pdf=render |
| _version_ | 1818658131979272192 |
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| author | Mathabatha Evodia Setati Daniel Jacobson Ursula-Claire Andong Florian Franz Bauer |
| author_facet | Mathabatha Evodia Setati Daniel Jacobson Ursula-Claire Andong Florian Franz Bauer |
| author_sort | Mathabatha Evodia Setati |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-17T03:52:30Z |
| format | Article |
| id | doaj.art-a4825d84cb1643b4bef06da1fb24aa22 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-17T03:52:30Z |
| publishDate | 2012-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-a4825d84cb1643b4bef06da1fb24aa222022-12-21T22:04:43ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01712e5260910.1371/journal.pone.0052609The vineyard yeast microbiome, a mixed model microbial map.Mathabatha Evodia SetatiDaniel JacobsonUrsula-Claire AndongFlorian Franz BauerVineyards 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.http://europepmc.org/articles/PMC3530458?pdf=render |
| spellingShingle | Mathabatha Evodia Setati Daniel Jacobson Ursula-Claire Andong Florian Franz Bauer The vineyard yeast microbiome, a mixed model microbial map. PLoS ONE |
| 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 |
| url | http://europepmc.org/articles/PMC3530458?pdf=render |
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