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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...

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Autores principales: Magalhaes, Isabel S., Whiting, James R., D’Agostino, Daniele, Hohenlohe, Paul A., Mahmud, Muayad, Bell, Michael A., Skúlason, Skúli, MacColl, Andrew D.C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
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.
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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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