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Intercontinental genomic parallelism in multiple three-spined stickleback adaptive radiations
Parallelism, the evolution of similar traits in populations diversifying in similar conditions, provides strong evidence of adaptation by natural selection. Many studies of parallelism focus on comparisons of different ecotypes or contrasting environments, defined a priori, which could upwardly bias...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7858233/ https://www.ncbi.nlm.nih.gov/pubmed/33257817 http://dx.doi.org/10.1038/s41559-020-01341-8 |
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author | Magalhaes, Isabel S. Whiting, James R. D’Agostino, Daniele Hohenlohe, Paul A. Mahmud, Muayad Bell, Michael A. Skúlason, Skúli MacColl, Andrew D.C. |
author_facet | Magalhaes, Isabel S. Whiting, James R. D’Agostino, Daniele Hohenlohe, Paul A. Mahmud, Muayad Bell, Michael A. Skúlason, Skúli MacColl, Andrew D.C. |
author_sort | Magalhaes, Isabel S. |
collection | PubMed |
description | Parallelism, the evolution of similar traits in populations diversifying in similar conditions, provides strong evidence of adaptation by natural selection. Many studies of parallelism focus on comparisons of different ecotypes or contrasting environments, defined a priori, which could upwardly bias the apparent prevalence of parallelism. Here, we estimated genomic parallelism associated with components of environmental and phenotypic variation at an intercontinental scale across four freshwater adaptive radiations (Alaska, British Columbia, Iceland, Scotland) of the three-spined stickleback (Gasterosteus aculeatus). We combined large-scale biological sampling and phenotyping with RAD-sequencing data from 73 freshwater lake populations and four marine ones (1,380 fish) to associate genome-wide allele frequencies with continuous distributions of environmental and phenotypic variation. Our three main findings demonstrate: 1) quantitative variation in phenotypes and environments can predict genomic parallelism; 2) genomic parallelism at the early stages of adaptive radiations, even at large geographic scales, is founded on standing variation; and 3) similar environments are a better predictor of genome-wide parallelism than similar phenotypes. Overall, this study validates the importance and predictive power of major phenotypic and environmental factors likely to influence the emergence of common patterns of genomic divergence, providing a clearer picture than analyses of dichotomous phenotypes and environments. |
format | Online Article Text |
id | pubmed-7858233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-78582332021-05-30 Intercontinental genomic parallelism in multiple three-spined stickleback adaptive radiations Magalhaes, Isabel S. Whiting, James R. D’Agostino, Daniele Hohenlohe, Paul A. Mahmud, Muayad Bell, Michael A. Skúlason, Skúli MacColl, Andrew D.C. Nat Ecol Evol Article Parallelism, the evolution of similar traits in populations diversifying in similar conditions, provides strong evidence of adaptation by natural selection. Many studies of parallelism focus on comparisons of different ecotypes or contrasting environments, defined a priori, which could upwardly bias the apparent prevalence of parallelism. Here, we estimated genomic parallelism associated with components of environmental and phenotypic variation at an intercontinental scale across four freshwater adaptive radiations (Alaska, British Columbia, Iceland, Scotland) of the three-spined stickleback (Gasterosteus aculeatus). We combined large-scale biological sampling and phenotyping with RAD-sequencing data from 73 freshwater lake populations and four marine ones (1,380 fish) to associate genome-wide allele frequencies with continuous distributions of environmental and phenotypic variation. Our three main findings demonstrate: 1) quantitative variation in phenotypes and environments can predict genomic parallelism; 2) genomic parallelism at the early stages of adaptive radiations, even at large geographic scales, is founded on standing variation; and 3) similar environments are a better predictor of genome-wide parallelism than similar phenotypes. Overall, this study validates the importance and predictive power of major phenotypic and environmental factors likely to influence the emergence of common patterns of genomic divergence, providing a clearer picture than analyses of dichotomous phenotypes and environments. 2020-11-30 2021-02 /pmc/articles/PMC7858233/ /pubmed/33257817 http://dx.doi.org/10.1038/s41559-020-01341-8 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Magalhaes, Isabel S. Whiting, James R. D’Agostino, Daniele Hohenlohe, Paul A. Mahmud, Muayad Bell, Michael A. Skúlason, Skúli MacColl, Andrew D.C. Intercontinental genomic parallelism in multiple three-spined stickleback adaptive radiations |
title | Intercontinental genomic parallelism in multiple three-spined stickleback adaptive radiations |
title_full | Intercontinental genomic parallelism in multiple three-spined stickleback adaptive radiations |
title_fullStr | Intercontinental genomic parallelism in multiple three-spined stickleback adaptive radiations |
title_full_unstemmed | Intercontinental genomic parallelism in multiple three-spined stickleback adaptive radiations |
title_short | Intercontinental genomic parallelism in multiple three-spined stickleback adaptive radiations |
title_sort | intercontinental genomic parallelism in multiple three-spined stickleback adaptive radiations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7858233/ https://www.ncbi.nlm.nih.gov/pubmed/33257817 http://dx.doi.org/10.1038/s41559-020-01341-8 |
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