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Selective sweeps on novel and introgressed variation shape mimicry loci in a butterfly adaptive radiation
Natural selection leaves distinct signatures in the genome that can reveal the targets and history of adaptive evolution. By analysing high-coverage genome sequence data from 4 major colour pattern loci sampled from nearly 600 individuals in 53 populations, we show pervasive selection on wing patter...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029882/ https://www.ncbi.nlm.nih.gov/pubmed/32027643 http://dx.doi.org/10.1371/journal.pbio.3000597 |
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author | Moest, Markus Van Belleghem, Steven M. James, Jennifer E. Salazar, Camilo Martin, Simon H. Barker, Sarah L. Moreira, Gilson R. P. Mérot, Claire Joron, Mathieu Nadeau, Nicola J. Steiner, Florian M. Jiggins, Chris D. |
author_facet | Moest, Markus Van Belleghem, Steven M. James, Jennifer E. Salazar, Camilo Martin, Simon H. Barker, Sarah L. Moreira, Gilson R. P. Mérot, Claire Joron, Mathieu Nadeau, Nicola J. Steiner, Florian M. Jiggins, Chris D. |
author_sort | Moest, Markus |
collection | PubMed |
description | Natural selection leaves distinct signatures in the genome that can reveal the targets and history of adaptive evolution. By analysing high-coverage genome sequence data from 4 major colour pattern loci sampled from nearly 600 individuals in 53 populations, we show pervasive selection on wing patterns in the Heliconius adaptive radiation. The strongest signatures correspond to loci with the greatest phenotypic effects, consistent with visual selection by predators, and are found in colour patterns with geographically restricted distributions. These recent sweeps are similar between co-mimics and indicate colour pattern turn-over events despite strong stabilising selection. Using simulations, we compare sweep signatures expected under classic hard sweeps with those resulting from adaptive introgression, an important aspect of mimicry evolution in Heliconius butterflies. Simulated recipient populations show a distinct ‘volcano’ pattern with peaks of increased genetic diversity around the selected target, characteristic of sweeps of introgressed variation and consistent with diversity patterns found in some populations. Our genomic data reveal a surprisingly dynamic history of colour pattern selection and co-evolution in this adaptive radiation. |
format | Online Article Text |
id | pubmed-7029882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-70298822020-02-26 Selective sweeps on novel and introgressed variation shape mimicry loci in a butterfly adaptive radiation Moest, Markus Van Belleghem, Steven M. James, Jennifer E. Salazar, Camilo Martin, Simon H. Barker, Sarah L. Moreira, Gilson R. P. Mérot, Claire Joron, Mathieu Nadeau, Nicola J. Steiner, Florian M. Jiggins, Chris D. PLoS Biol Research Article Natural selection leaves distinct signatures in the genome that can reveal the targets and history of adaptive evolution. By analysing high-coverage genome sequence data from 4 major colour pattern loci sampled from nearly 600 individuals in 53 populations, we show pervasive selection on wing patterns in the Heliconius adaptive radiation. The strongest signatures correspond to loci with the greatest phenotypic effects, consistent with visual selection by predators, and are found in colour patterns with geographically restricted distributions. These recent sweeps are similar between co-mimics and indicate colour pattern turn-over events despite strong stabilising selection. Using simulations, we compare sweep signatures expected under classic hard sweeps with those resulting from adaptive introgression, an important aspect of mimicry evolution in Heliconius butterflies. Simulated recipient populations show a distinct ‘volcano’ pattern with peaks of increased genetic diversity around the selected target, characteristic of sweeps of introgressed variation and consistent with diversity patterns found in some populations. Our genomic data reveal a surprisingly dynamic history of colour pattern selection and co-evolution in this adaptive radiation. Public Library of Science 2020-02-06 /pmc/articles/PMC7029882/ /pubmed/32027643 http://dx.doi.org/10.1371/journal.pbio.3000597 Text en © 2020 Moest 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 Moest, Markus Van Belleghem, Steven M. James, Jennifer E. Salazar, Camilo Martin, Simon H. Barker, Sarah L. Moreira, Gilson R. P. Mérot, Claire Joron, Mathieu Nadeau, Nicola J. Steiner, Florian M. Jiggins, Chris D. Selective sweeps on novel and introgressed variation shape mimicry loci in a butterfly adaptive radiation |
title | Selective sweeps on novel and introgressed variation shape mimicry loci in a butterfly adaptive radiation |
title_full | Selective sweeps on novel and introgressed variation shape mimicry loci in a butterfly adaptive radiation |
title_fullStr | Selective sweeps on novel and introgressed variation shape mimicry loci in a butterfly adaptive radiation |
title_full_unstemmed | Selective sweeps on novel and introgressed variation shape mimicry loci in a butterfly adaptive radiation |
title_short | Selective sweeps on novel and introgressed variation shape mimicry loci in a butterfly adaptive radiation |
title_sort | selective sweeps on novel and introgressed variation shape mimicry loci in a butterfly adaptive radiation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029882/ https://www.ncbi.nlm.nih.gov/pubmed/32027643 http://dx.doi.org/10.1371/journal.pbio.3000597 |
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