Genomic variation, population history and within-archipelago adaptation between island bird populations
Oceanic island archipelagos provide excellent models to understand evolutionary processes. Colonization events and gene flow can interact with selection to shape genetic variation at different spatial scales. Landscape-scale variation in biotic and abiotic factors may drive fine-scale selection with...
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crroyalsociety:10.1098/rsos.201146 2024-06-23T07:55:10+00:00 Genomic variation, population history and within-archipelago adaptation between island bird populations Martin, Claudia A. Armstrong, Claire Illera, Juan Carlos Emerson, Brent C. Richardson, David S. Spurgin, Lewis G. Natural Environment Research Council British Ecological Society Biotechnology and Biological Sciences Research Council Norwich Research Park Science Links 2021 http://dx.doi.org/10.1098/rsos.201146 https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.201146 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsos.201146 en eng The Royal Society https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ Royal Society Open Science volume 8, issue 2 ISSN 2054-5703 journal-article 2021 crroyalsociety https://doi.org/10.1098/rsos.201146 2024-06-10T04:15:08Z Oceanic island archipelagos provide excellent models to understand evolutionary processes. Colonization events and gene flow can interact with selection to shape genetic variation at different spatial scales. Landscape-scale variation in biotic and abiotic factors may drive fine-scale selection within islands, while long-term evolutionary processes may drive divergence between distantly related populations. Here, we examine patterns of population history and selection between recently diverged populations of the Berthelot's pipit ( Anthus berthelotii ), a passerine endemic to three North Atlantic archipelagos. First, we use demographic trees and f 3 statistics to show that genome-wide divergence across the species range is largely shaped by colonization and bottlenecks, with evidence of very weak gene flow between populations. Then, using a genome scan approach, we identify signatures of divergent selection within archipelagos at single nucleotide polymorphisms (SNPs) in genes potentially associated with craniofacial development and DNA repair. We did not detect within-archipelago selection at the same SNPs as were detected previously at broader spatial scales between archipelagos, but did identify signatures of selection at loci associated with similar biological functions. These findings suggest that similar ecological factors may repeatedly drive selection between recently separated populations, as well as at broad spatial scales across varied landscapes. Article in Journal/Newspaper North Atlantic The Royal Society Royal Society Open Science 8 2 |
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Open Polar |
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The Royal Society |
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crroyalsociety |
language |
English |
description |
Oceanic island archipelagos provide excellent models to understand evolutionary processes. Colonization events and gene flow can interact with selection to shape genetic variation at different spatial scales. Landscape-scale variation in biotic and abiotic factors may drive fine-scale selection within islands, while long-term evolutionary processes may drive divergence between distantly related populations. Here, we examine patterns of population history and selection between recently diverged populations of the Berthelot's pipit ( Anthus berthelotii ), a passerine endemic to three North Atlantic archipelagos. First, we use demographic trees and f 3 statistics to show that genome-wide divergence across the species range is largely shaped by colonization and bottlenecks, with evidence of very weak gene flow between populations. Then, using a genome scan approach, we identify signatures of divergent selection within archipelagos at single nucleotide polymorphisms (SNPs) in genes potentially associated with craniofacial development and DNA repair. We did not detect within-archipelago selection at the same SNPs as were detected previously at broader spatial scales between archipelagos, but did identify signatures of selection at loci associated with similar biological functions. These findings suggest that similar ecological factors may repeatedly drive selection between recently separated populations, as well as at broad spatial scales across varied landscapes. |
author2 |
Natural Environment Research Council British Ecological Society Biotechnology and Biological Sciences Research Council Norwich Research Park Science Links |
format |
Article in Journal/Newspaper |
author |
Martin, Claudia A. Armstrong, Claire Illera, Juan Carlos Emerson, Brent C. Richardson, David S. Spurgin, Lewis G. |
spellingShingle |
Martin, Claudia A. Armstrong, Claire Illera, Juan Carlos Emerson, Brent C. Richardson, David S. Spurgin, Lewis G. Genomic variation, population history and within-archipelago adaptation between island bird populations |
author_facet |
Martin, Claudia A. Armstrong, Claire Illera, Juan Carlos Emerson, Brent C. Richardson, David S. Spurgin, Lewis G. |
author_sort |
Martin, Claudia A. |
title |
Genomic variation, population history and within-archipelago adaptation between island bird populations |
title_short |
Genomic variation, population history and within-archipelago adaptation between island bird populations |
title_full |
Genomic variation, population history and within-archipelago adaptation between island bird populations |
title_fullStr |
Genomic variation, population history and within-archipelago adaptation between island bird populations |
title_full_unstemmed |
Genomic variation, population history and within-archipelago adaptation between island bird populations |
title_sort |
genomic variation, population history and within-archipelago adaptation between island bird populations |
publisher |
The Royal Society |
publishDate |
2021 |
url |
http://dx.doi.org/10.1098/rsos.201146 https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.201146 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsos.201146 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Royal Society Open Science volume 8, issue 2 ISSN 2054-5703 |
op_rights |
https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ |
op_doi |
https://doi.org/10.1098/rsos.201146 |
container_title |
Royal Society Open Science |
container_volume |
8 |
container_issue |
2 |
_version_ |
1802647624376909824 |