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Competition dynamics in long‐term propagations of Schizosaccharomyces pombe strain communities
Experimental evolution studies with microorganisms such as bacteria and yeast have been an increasingly important and powerful tool to draw long‐term inferences of how microbes interact. However, while several strains of the same species often exist in natural environments, many ecology and evolutio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571606/ https://www.ncbi.nlm.nih.gov/pubmed/34765162 http://dx.doi.org/10.1002/ece3.8191 |
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author | Durão, Paulo Amicone, Massimo Perfeito, Lília Gordo, Isabel |
author_facet | Durão, Paulo Amicone, Massimo Perfeito, Lília Gordo, Isabel |
author_sort | Durão, Paulo |
collection | PubMed |
description | Experimental evolution studies with microorganisms such as bacteria and yeast have been an increasingly important and powerful tool to draw long‐term inferences of how microbes interact. However, while several strains of the same species often exist in natural environments, many ecology and evolution studies in microbes are typically performed with isogenic populations of bacteria or yeast. In the present study, we firstly perform a genotypic and phenotypic characterization of two laboratory and eight natural strains of the yeast Schizosaccharomyces pombe. We then propagated, in a rich resource environment, yeast communities of 2, 3, 4, and 5 strains for hundreds of generations and asked which fitness‐related phenotypes—maximum growth rate or relative competitive fitness—would better predict the outcome of a focal strain during the propagations. While the strain's growth rates would wrongly predict long‐term coexistence, pairwise competitive fitness with a focal strain qualitatively predicted the success or extinction of the focal strain by a simple multigenotype population genetics model, given the initial community composition. Interestingly, we have also measured the competitive fitness of the ancestral and evolved communities by the end of the experiment (≈370 generations) and observed frequent maladaptation to the abiotic environment in communities with more than three members. Overall, our results aid establishing pairwise competitive fitness as good qualitative measurement of long‐term community composition but also reveal a complex adaptive scenario when trying to predict the evolutionary outcome of those communities. |
format | Online Article Text |
id | pubmed-8571606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85716062021-11-10 Competition dynamics in long‐term propagations of Schizosaccharomyces pombe strain communities Durão, Paulo Amicone, Massimo Perfeito, Lília Gordo, Isabel Ecol Evol Research Articles Experimental evolution studies with microorganisms such as bacteria and yeast have been an increasingly important and powerful tool to draw long‐term inferences of how microbes interact. However, while several strains of the same species often exist in natural environments, many ecology and evolution studies in microbes are typically performed with isogenic populations of bacteria or yeast. In the present study, we firstly perform a genotypic and phenotypic characterization of two laboratory and eight natural strains of the yeast Schizosaccharomyces pombe. We then propagated, in a rich resource environment, yeast communities of 2, 3, 4, and 5 strains for hundreds of generations and asked which fitness‐related phenotypes—maximum growth rate or relative competitive fitness—would better predict the outcome of a focal strain during the propagations. While the strain's growth rates would wrongly predict long‐term coexistence, pairwise competitive fitness with a focal strain qualitatively predicted the success or extinction of the focal strain by a simple multigenotype population genetics model, given the initial community composition. Interestingly, we have also measured the competitive fitness of the ancestral and evolved communities by the end of the experiment (≈370 generations) and observed frequent maladaptation to the abiotic environment in communities with more than three members. Overall, our results aid establishing pairwise competitive fitness as good qualitative measurement of long‐term community composition but also reveal a complex adaptive scenario when trying to predict the evolutionary outcome of those communities. John Wiley and Sons Inc. 2021-10-09 /pmc/articles/PMC8571606/ /pubmed/34765162 http://dx.doi.org/10.1002/ece3.8191 Text en © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Durão, Paulo Amicone, Massimo Perfeito, Lília Gordo, Isabel Competition dynamics in long‐term propagations of Schizosaccharomyces pombe strain communities |
title | Competition dynamics in long‐term propagations of Schizosaccharomyces pombe strain communities |
title_full | Competition dynamics in long‐term propagations of Schizosaccharomyces pombe strain communities |
title_fullStr | Competition dynamics in long‐term propagations of Schizosaccharomyces pombe strain communities |
title_full_unstemmed | Competition dynamics in long‐term propagations of Schizosaccharomyces pombe strain communities |
title_short | Competition dynamics in long‐term propagations of Schizosaccharomyces pombe strain communities |
title_sort | competition dynamics in long‐term propagations of schizosaccharomyces pombe strain communities |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571606/ https://www.ncbi.nlm.nih.gov/pubmed/34765162 http://dx.doi.org/10.1002/ece3.8191 |
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