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Parallel gene expression evolution in natural and laboratory evolved populations

Ecological adaptation is frequently inferred by the comparison of natural populations from different environments. Nevertheless, inference of the selective forces suffers the challenge that many environmental factors covary. With well‐controlled environmental conditions, experimental evolution provi...

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Autores principales: Hsu, Sheng‐Kai, Belmouaden, Chaimae, Nolte, Viola, Schlötterer, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891358/
https://www.ncbi.nlm.nih.gov/pubmed/32979867
http://dx.doi.org/10.1111/mec.15649
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author Hsu, Sheng‐Kai
Belmouaden, Chaimae
Nolte, Viola
Schlötterer, Christian
author_facet Hsu, Sheng‐Kai
Belmouaden, Chaimae
Nolte, Viola
Schlötterer, Christian
author_sort Hsu, Sheng‐Kai
collection PubMed
description Ecological adaptation is frequently inferred by the comparison of natural populations from different environments. Nevertheless, inference of the selective forces suffers the challenge that many environmental factors covary. With well‐controlled environmental conditions, experimental evolution provides a powerful approach to complement the analysis of natural populations. On the other hand, it is apparent that laboratory conditions differ in many ways from natural environments, which raises the question as to what extent selection responses in experimental evolution studies can inform us about adaptation processes in the wild. In this study, we compared the expression profiles of replicated Drosophila melanogaster populations which have been exposed to two distinct temperature regimes (18/28 and 10/20°C) in the laboratory for more than 80 generations. Using gene‐wise differential expression analysis and co‐expression network analysis, we identified 541 genes and three coregulated gene modules that evolved in the same direction in both temperature regimes, and most of these changes probably reflect an adaptation to the space constraint or diurnal temperature fluctuation that is common in both selection regimes. In total, 203 genes and seven modules evolved temperature‐specific expression changes. Remarkably, we detected a significant overlap of these temperature‐adaptive genes/modules from experimental evolution with temperature‐adaptive genes inferred from natural Drosophila populations covering two different temperature clines. We conclude that well‐designed experimental evolution studies are a powerful tool to dissect evolutionary responses.
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spelling pubmed-78913582021-03-02 Parallel gene expression evolution in natural and laboratory evolved populations Hsu, Sheng‐Kai Belmouaden, Chaimae Nolte, Viola Schlötterer, Christian Mol Ecol From the Cover Ecological adaptation is frequently inferred by the comparison of natural populations from different environments. Nevertheless, inference of the selective forces suffers the challenge that many environmental factors covary. With well‐controlled environmental conditions, experimental evolution provides a powerful approach to complement the analysis of natural populations. On the other hand, it is apparent that laboratory conditions differ in many ways from natural environments, which raises the question as to what extent selection responses in experimental evolution studies can inform us about adaptation processes in the wild. In this study, we compared the expression profiles of replicated Drosophila melanogaster populations which have been exposed to two distinct temperature regimes (18/28 and 10/20°C) in the laboratory for more than 80 generations. Using gene‐wise differential expression analysis and co‐expression network analysis, we identified 541 genes and three coregulated gene modules that evolved in the same direction in both temperature regimes, and most of these changes probably reflect an adaptation to the space constraint or diurnal temperature fluctuation that is common in both selection regimes. In total, 203 genes and seven modules evolved temperature‐specific expression changes. Remarkably, we detected a significant overlap of these temperature‐adaptive genes/modules from experimental evolution with temperature‐adaptive genes inferred from natural Drosophila populations covering two different temperature clines. We conclude that well‐designed experimental evolution studies are a powerful tool to dissect evolutionary responses. John Wiley and Sons Inc. 2020-10-12 2021-02 /pmc/articles/PMC7891358/ /pubmed/32979867 http://dx.doi.org/10.1111/mec.15649 Text en © 2020 The Authors. Molecular Ecology published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle From the Cover
Hsu, Sheng‐Kai
Belmouaden, Chaimae
Nolte, Viola
Schlötterer, Christian
Parallel gene expression evolution in natural and laboratory evolved populations
title Parallel gene expression evolution in natural and laboratory evolved populations
title_full Parallel gene expression evolution in natural and laboratory evolved populations
title_fullStr Parallel gene expression evolution in natural and laboratory evolved populations
title_full_unstemmed Parallel gene expression evolution in natural and laboratory evolved populations
title_short Parallel gene expression evolution in natural and laboratory evolved populations
title_sort parallel gene expression evolution in natural and laboratory evolved populations
topic From the Cover
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891358/
https://www.ncbi.nlm.nih.gov/pubmed/32979867
http://dx.doi.org/10.1111/mec.15649
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