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Ecological genomics of adaptation to unpredictability in experimental rotifer populations

Elucidating the genetic basis of phenotypic variation in response to different environments is key to understanding how populations evolve. Facultatively sexual rotifers can develop adaptive responses to fluctuating environments. In a previous evolution experiment, diapause-related traits changed ra...

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Autores principales: Tarazona, Eva, Hahn, Christoph, Franch-Gras, Lluís, García-Roger, Eduardo M., Carmona, María José, Gómez, Africa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927961/
https://www.ncbi.nlm.nih.gov/pubmed/31873145
http://dx.doi.org/10.1038/s41598-019-56100-y
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author Tarazona, Eva
Hahn, Christoph
Franch-Gras, Lluís
García-Roger, Eduardo M.
Carmona, María José
Gómez, Africa
author_facet Tarazona, Eva
Hahn, Christoph
Franch-Gras, Lluís
García-Roger, Eduardo M.
Carmona, María José
Gómez, Africa
author_sort Tarazona, Eva
collection PubMed
description Elucidating the genetic basis of phenotypic variation in response to different environments is key to understanding how populations evolve. Facultatively sexual rotifers can develop adaptive responses to fluctuating environments. In a previous evolution experiment, diapause-related traits changed rapidly in response to two selective regimes (predictable vs unpredictable) in laboratory populations of the rotifer Brachionus plicatilis. Here, we investigate the genomic basis of adaptation to environmental unpredictability in these experimental populations. We identified and genotyped genome-wide polymorphisms in 169 clones from both selective regimes after seven cycles of selection using genotyping by sequencing (GBS). Additionally, we used GBS data from the 270 field clones from which the laboratory populations were established. This GBS dataset was used to identify candidate SNPs under selection. A total of 76 SNPs showed divergent selection, three of which are candidates for being under selection in the particular unpredictable fluctuation pattern studied. Most of the remaining SNPs showed strong signals of adaptation to laboratory conditions. Furthermore, a genotype-phenotype association approach revealed five SNPs associated with two key life-history traits in the adaptation to unpredictability. Our results contribute to elucidating the genomic basis for adaptation to unpredictable environments and lay the groundwork for future evolution studies in rotifers.
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spelling pubmed-69279612019-12-27 Ecological genomics of adaptation to unpredictability in experimental rotifer populations Tarazona, Eva Hahn, Christoph Franch-Gras, Lluís García-Roger, Eduardo M. Carmona, María José Gómez, Africa Sci Rep Article Elucidating the genetic basis of phenotypic variation in response to different environments is key to understanding how populations evolve. Facultatively sexual rotifers can develop adaptive responses to fluctuating environments. In a previous evolution experiment, diapause-related traits changed rapidly in response to two selective regimes (predictable vs unpredictable) in laboratory populations of the rotifer Brachionus plicatilis. Here, we investigate the genomic basis of adaptation to environmental unpredictability in these experimental populations. We identified and genotyped genome-wide polymorphisms in 169 clones from both selective regimes after seven cycles of selection using genotyping by sequencing (GBS). Additionally, we used GBS data from the 270 field clones from which the laboratory populations were established. This GBS dataset was used to identify candidate SNPs under selection. A total of 76 SNPs showed divergent selection, three of which are candidates for being under selection in the particular unpredictable fluctuation pattern studied. Most of the remaining SNPs showed strong signals of adaptation to laboratory conditions. Furthermore, a genotype-phenotype association approach revealed five SNPs associated with two key life-history traits in the adaptation to unpredictability. Our results contribute to elucidating the genomic basis for adaptation to unpredictable environments and lay the groundwork for future evolution studies in rotifers. Nature Publishing Group UK 2019-12-23 /pmc/articles/PMC6927961/ /pubmed/31873145 http://dx.doi.org/10.1038/s41598-019-56100-y Text en © The Author(s) 2019 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
Tarazona, Eva
Hahn, Christoph
Franch-Gras, Lluís
García-Roger, Eduardo M.
Carmona, María José
Gómez, Africa
Ecological genomics of adaptation to unpredictability in experimental rotifer populations
title Ecological genomics of adaptation to unpredictability in experimental rotifer populations
title_full Ecological genomics of adaptation to unpredictability in experimental rotifer populations
title_fullStr Ecological genomics of adaptation to unpredictability in experimental rotifer populations
title_full_unstemmed Ecological genomics of adaptation to unpredictability in experimental rotifer populations
title_short Ecological genomics of adaptation to unpredictability in experimental rotifer populations
title_sort ecological genomics of adaptation to unpredictability in experimental rotifer populations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927961/
https://www.ncbi.nlm.nih.gov/pubmed/31873145
http://dx.doi.org/10.1038/s41598-019-56100-y
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