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Genomic variation predicts adaptive evolutionary responses better than population bottleneck history

The relationship between population size, inbreeding, loss of genetic variation and evolutionary potential of fitness traits is still unresolved, and large-scale empirical studies testing theoretical expectations are surprisingly scarce. Here we present a highly replicated experimental evolution set...

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Autores principales: Ørsted, Michael, Hoffmann, Ary Anthony, Sverrisdóttir, Elsa, Nielsen, Kåre Lehmann, Kristensen, Torsten Nygaard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590832/
https://www.ncbi.nlm.nih.gov/pubmed/31188830
http://dx.doi.org/10.1371/journal.pgen.1008205
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author Ørsted, Michael
Hoffmann, Ary Anthony
Sverrisdóttir, Elsa
Nielsen, Kåre Lehmann
Kristensen, Torsten Nygaard
author_facet Ørsted, Michael
Hoffmann, Ary Anthony
Sverrisdóttir, Elsa
Nielsen, Kåre Lehmann
Kristensen, Torsten Nygaard
author_sort Ørsted, Michael
collection PubMed
description The relationship between population size, inbreeding, loss of genetic variation and evolutionary potential of fitness traits is still unresolved, and large-scale empirical studies testing theoretical expectations are surprisingly scarce. Here we present a highly replicated experimental evolution setup with 120 lines of Drosophila melanogaster having experienced inbreeding caused by low population size for a variable number of generations. Genetic variation in inbred lines and in outbred control lines was assessed by genotyping-by-sequencing (GBS) of pooled samples consisting of 15 males per line. All lines were reared on a novel stressful medium for 10 generations during which body mass, productivity, and extinctions were scored in each generation. In addition, we investigated egg-to-adult viability in the benign and the stressful environments before and after rearing at the stressful conditions for 10 generations. We found strong positive correlations between levels of genetic variation and evolutionary response in all investigated traits, and showed that genomic variation was more informative in predicting evolutionary responses than population history reflected by expected inbreeding levels. We also found that lines with lower genetic diversity were at greater risk of extinction. For viability, the results suggested a trade-off in the costs of adapting to the stressful environments when tested in a benign environment. This work presents convincing support for long-standing evolutionary theory, and it provides novel insights into the association between genetic variation and evolutionary capacity in a gradient of diversity rather than dichotomous inbred/outbred groups.
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spelling pubmed-65908322019-07-05 Genomic variation predicts adaptive evolutionary responses better than population bottleneck history Ørsted, Michael Hoffmann, Ary Anthony Sverrisdóttir, Elsa Nielsen, Kåre Lehmann Kristensen, Torsten Nygaard PLoS Genet Research Article The relationship between population size, inbreeding, loss of genetic variation and evolutionary potential of fitness traits is still unresolved, and large-scale empirical studies testing theoretical expectations are surprisingly scarce. Here we present a highly replicated experimental evolution setup with 120 lines of Drosophila melanogaster having experienced inbreeding caused by low population size for a variable number of generations. Genetic variation in inbred lines and in outbred control lines was assessed by genotyping-by-sequencing (GBS) of pooled samples consisting of 15 males per line. All lines were reared on a novel stressful medium for 10 generations during which body mass, productivity, and extinctions were scored in each generation. In addition, we investigated egg-to-adult viability in the benign and the stressful environments before and after rearing at the stressful conditions for 10 generations. We found strong positive correlations between levels of genetic variation and evolutionary response in all investigated traits, and showed that genomic variation was more informative in predicting evolutionary responses than population history reflected by expected inbreeding levels. We also found that lines with lower genetic diversity were at greater risk of extinction. For viability, the results suggested a trade-off in the costs of adapting to the stressful environments when tested in a benign environment. This work presents convincing support for long-standing evolutionary theory, and it provides novel insights into the association between genetic variation and evolutionary capacity in a gradient of diversity rather than dichotomous inbred/outbred groups. Public Library of Science 2019-06-12 /pmc/articles/PMC6590832/ /pubmed/31188830 http://dx.doi.org/10.1371/journal.pgen.1008205 Text en © 2019 Ørsted et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ørsted, Michael
Hoffmann, Ary Anthony
Sverrisdóttir, Elsa
Nielsen, Kåre Lehmann
Kristensen, Torsten Nygaard
Genomic variation predicts adaptive evolutionary responses better than population bottleneck history
title Genomic variation predicts adaptive evolutionary responses better than population bottleneck history
title_full Genomic variation predicts adaptive evolutionary responses better than population bottleneck history
title_fullStr Genomic variation predicts adaptive evolutionary responses better than population bottleneck history
title_full_unstemmed Genomic variation predicts adaptive evolutionary responses better than population bottleneck history
title_short Genomic variation predicts adaptive evolutionary responses better than population bottleneck history
title_sort genomic variation predicts adaptive evolutionary responses better than population bottleneck history
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590832/
https://www.ncbi.nlm.nih.gov/pubmed/31188830
http://dx.doi.org/10.1371/journal.pgen.1008205
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