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Quantifying separation and similarity in a Saccharomyces cerevisiae metapopulation
Eukaryotic microbes are key ecosystem drivers; however, we have little theory and few data elucidating the processes influencing their observed population patterns. Here we provide an in-depth quantitative analysis of population separation and similarity in the yeast Saccharomyces cerevisiae with th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303630/ https://www.ncbi.nlm.nih.gov/pubmed/25062126 http://dx.doi.org/10.1038/ismej.2014.132 |
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author | Knight, Sarah Goddard, Matthew R |
author_facet | Knight, Sarah Goddard, Matthew R |
author_sort | Knight, Sarah |
collection | PubMed |
description | Eukaryotic microbes are key ecosystem drivers; however, we have little theory and few data elucidating the processes influencing their observed population patterns. Here we provide an in-depth quantitative analysis of population separation and similarity in the yeast Saccharomyces cerevisiae with the aim of providing a more detailed account of the population processes occurring in microbes. Over 10 000 individual isolates were collected from native plants, vineyards and spontaneous ferments of fruit from six major regions spanning 1000 km across New Zealand. From these, hundreds of S. cerevisiae genotypes were obtained, and using a suite of analytical methods we provide comprehensive quantitative estimates for both population structure and rates of gene flow or migration. No genetic differentiation was detected within geographic regions, even between populations inhabiting native forests and vineyards. We do, however, reveal a picture of national population structure at scales above ∼100 km with distinctive populations in the more remote Nelson and Central Otago regions primarily contributing to this. In addition, differential degrees of connectivity between regional populations are observed and correlate with the movement of fruit by the New Zealand wine industry. This suggests some anthropogenic influence on these observed population patterns. |
format | Online Article Text |
id | pubmed-4303630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-43036302015-02-04 Quantifying separation and similarity in a Saccharomyces cerevisiae metapopulation Knight, Sarah Goddard, Matthew R ISME J Original Article Eukaryotic microbes are key ecosystem drivers; however, we have little theory and few data elucidating the processes influencing their observed population patterns. Here we provide an in-depth quantitative analysis of population separation and similarity in the yeast Saccharomyces cerevisiae with the aim of providing a more detailed account of the population processes occurring in microbes. Over 10 000 individual isolates were collected from native plants, vineyards and spontaneous ferments of fruit from six major regions spanning 1000 km across New Zealand. From these, hundreds of S. cerevisiae genotypes were obtained, and using a suite of analytical methods we provide comprehensive quantitative estimates for both population structure and rates of gene flow or migration. No genetic differentiation was detected within geographic regions, even between populations inhabiting native forests and vineyards. We do, however, reveal a picture of national population structure at scales above ∼100 km with distinctive populations in the more remote Nelson and Central Otago regions primarily contributing to this. In addition, differential degrees of connectivity between regional populations are observed and correlate with the movement of fruit by the New Zealand wine industry. This suggests some anthropogenic influence on these observed population patterns. Nature Publishing Group 2015-02 2014-07-25 /pmc/articles/PMC4303630/ /pubmed/25062126 http://dx.doi.org/10.1038/ismej.2014.132 Text en Copyright © 2015 International Society for Microbial Ecology http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Original Article Knight, Sarah Goddard, Matthew R Quantifying separation and similarity in a Saccharomyces cerevisiae metapopulation |
title | Quantifying separation and similarity in a Saccharomyces cerevisiae metapopulation |
title_full | Quantifying separation and similarity in a Saccharomyces cerevisiae metapopulation |
title_fullStr | Quantifying separation and similarity in a Saccharomyces cerevisiae metapopulation |
title_full_unstemmed | Quantifying separation and similarity in a Saccharomyces cerevisiae metapopulation |
title_short | Quantifying separation and similarity in a Saccharomyces cerevisiae metapopulation |
title_sort | quantifying separation and similarity in a saccharomyces cerevisiae metapopulation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303630/ https://www.ncbi.nlm.nih.gov/pubmed/25062126 http://dx.doi.org/10.1038/ismej.2014.132 |
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