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The genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime

BACKGROUND: Understanding the genetic architecture of temperature adaptation is key for characterizing and predicting the effect of climate change on natural populations. One particularly promising approach is Evolve and Resequence, which combines advantages of experimental evolution such as time se...

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Autores principales: Otte, Kathrin A., Nolte, Viola, Mallard, François, Schlötterer, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285869/
https://www.ncbi.nlm.nih.gov/pubmed/34271951
http://dx.doi.org/10.1186/s13059-021-02425-9
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author Otte, Kathrin A.
Nolte, Viola
Mallard, François
Schlötterer, Christian
author_facet Otte, Kathrin A.
Nolte, Viola
Mallard, François
Schlötterer, Christian
author_sort Otte, Kathrin A.
collection PubMed
description BACKGROUND: Understanding the genetic architecture of temperature adaptation is key for characterizing and predicting the effect of climate change on natural populations. One particularly promising approach is Evolve and Resequence, which combines advantages of experimental evolution such as time series, replicate populations, and controlled environmental conditions, with whole genome sequencing. Recent analysis of replicate populations from two different Drosophila simulans founder populations, which were adapting to the same novel hot environment, uncovered very different architectures—either many selection targets with large heterogeneity among replicates or fewer selection targets with a consistent response among replicates. RESULTS: Here, we expose the founder population from Portugal to a cold temperature regime. Although almost no selection targets are shared between the hot and cold selection regime, the adaptive architecture was similar. We identify a moderate number of targets under strong selection (19 selection targets, mean selection coefficient = 0.072) and parallel responses in the cold evolved replicates. This similarity across different environments indicates that the adaptive architecture depends more on the ancestry of the founder population than the specific selection regime. CONCLUSIONS: These observations will have broad implications for the correct interpretation of the genomic responses to a changing climate in natural populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02425-9.
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spelling pubmed-82858692021-07-19 The genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime Otte, Kathrin A. Nolte, Viola Mallard, François Schlötterer, Christian Genome Biol Research BACKGROUND: Understanding the genetic architecture of temperature adaptation is key for characterizing and predicting the effect of climate change on natural populations. One particularly promising approach is Evolve and Resequence, which combines advantages of experimental evolution such as time series, replicate populations, and controlled environmental conditions, with whole genome sequencing. Recent analysis of replicate populations from two different Drosophila simulans founder populations, which were adapting to the same novel hot environment, uncovered very different architectures—either many selection targets with large heterogeneity among replicates or fewer selection targets with a consistent response among replicates. RESULTS: Here, we expose the founder population from Portugal to a cold temperature regime. Although almost no selection targets are shared between the hot and cold selection regime, the adaptive architecture was similar. We identify a moderate number of targets under strong selection (19 selection targets, mean selection coefficient = 0.072) and parallel responses in the cold evolved replicates. This similarity across different environments indicates that the adaptive architecture depends more on the ancestry of the founder population than the specific selection regime. CONCLUSIONS: These observations will have broad implications for the correct interpretation of the genomic responses to a changing climate in natural populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02425-9. BioMed Central 2021-07-16 /pmc/articles/PMC8285869/ /pubmed/34271951 http://dx.doi.org/10.1186/s13059-021-02425-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Otte, Kathrin A.
Nolte, Viola
Mallard, François
Schlötterer, Christian
The genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime
title The genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime
title_full The genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime
title_fullStr The genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime
title_full_unstemmed The genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime
title_short The genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime
title_sort genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285869/
https://www.ncbi.nlm.nih.gov/pubmed/34271951
http://dx.doi.org/10.1186/s13059-021-02425-9
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