Killer whale genomes reveal a complex history of recurrent admixture and vicariance
Reconstruction of the demographic and evolutionary history of populations assuming a consensus tree‐like relationship can mask more complex scenarios, which are prevalent in nature. An emerging genomic toolset, which has been most comprehensively harnessed in the reconstruction of human evolutionary...
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ftdatacite:10.7892/boris.133897 2023-05-15T13:42:08+02:00 Killer whale genomes reveal a complex history of recurrent admixture and vicariance Foote, Andrew D. Martin, Michael D. Louis, Marie Pacheco, George Robertson, Kelly M. Sinding, Mikkel-Holger S. Amaral, Ana R. Baird, Robin W. Baker, Charles Scott Ballance, Lisa Barlow, Jay Brownlow, Andrew Collins, Tim Constantine, Rochelle Dabin, Willy Dalla Rosa, Luciano Davison, Nicholas J. Durban, John W. Esteban, Ruth Ferguson, Steven H. Gerrodette, Tim Guinet, Christophe Hanson, M. Bradley Hoggard, Wayne Matthews, Cory J. D. Samarra, Filipa I. P. De Stephanis, Renaud Tavares, Sara B. Tixier, Paul Totterdell, John A. Wade, Paul Excoffier, Laurent Gilbert, M. Thomas P. Wolf, Jochen B. W. Morin, Phillip A. 2019 application/pdf https://dx.doi.org/10.7892/boris.133897 https://boris.unibe.ch/133897/ en eng Wiley-Blackwell info:eu-repo/semantics/restrictedAccess 570 Life sciences; biology Text article-journal ScholarlyArticle 2019 ftdatacite https://doi.org/10.7892/boris.133897 2021-11-05T12:55:41Z Reconstruction of the demographic and evolutionary history of populations assuming a consensus tree‐like relationship can mask more complex scenarios, which are prevalent in nature. An emerging genomic toolset, which has been most comprehensively harnessed in the reconstruction of human evolutionary history, enables molecular ecologists to elucidate complex population histories. Killer whales have limited extrinsic barriers to dispersal and have radiated globally, and are therefore a good candidate model for the application of such tools. Here, we analyse a global data set of killer whale genomes in a rare attempt to elucidate global population structure in a nonhuman species. We identify a pattern of genetic homogenisation at lower latitudes and the greatest differentiation at high latitudes, even between currently sympatric lineages. The processes underlying the major axis of structure include high drift at the edge of species' range, likely associated with founder effects and allelic surfing during postglacial range expansion. Divergence between Antarctic and non‐Antarctic lineages is further driven by ancestry segments with up to fourfold older coalescence time than the genome‐wide average; relicts of a previous vicariance during an earlier glacial cycle. Our study further underpins that episodic gene flow is ubiquitous in natural populations, and can occur across great distances and after substantial periods of isolation between populations. Thus, understanding the evolutionary history of a species requires comprehensive geographic sampling and genome‐wide data to sample the variation in ancestry within individuals. Text Antarc* Antarctic Killer Whale Killer whale DataCite Metadata Store (German National Library of Science and Technology) Antarctic |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
570 Life sciences; biology |
spellingShingle |
570 Life sciences; biology Foote, Andrew D. Martin, Michael D. Louis, Marie Pacheco, George Robertson, Kelly M. Sinding, Mikkel-Holger S. Amaral, Ana R. Baird, Robin W. Baker, Charles Scott Ballance, Lisa Barlow, Jay Brownlow, Andrew Collins, Tim Constantine, Rochelle Dabin, Willy Dalla Rosa, Luciano Davison, Nicholas J. Durban, John W. Esteban, Ruth Ferguson, Steven H. Gerrodette, Tim Guinet, Christophe Hanson, M. Bradley Hoggard, Wayne Matthews, Cory J. D. Samarra, Filipa I. P. De Stephanis, Renaud Tavares, Sara B. Tixier, Paul Totterdell, John A. Wade, Paul Excoffier, Laurent Gilbert, M. Thomas P. Wolf, Jochen B. W. Morin, Phillip A. Killer whale genomes reveal a complex history of recurrent admixture and vicariance |
topic_facet |
570 Life sciences; biology |
description |
Reconstruction of the demographic and evolutionary history of populations assuming a consensus tree‐like relationship can mask more complex scenarios, which are prevalent in nature. An emerging genomic toolset, which has been most comprehensively harnessed in the reconstruction of human evolutionary history, enables molecular ecologists to elucidate complex population histories. Killer whales have limited extrinsic barriers to dispersal and have radiated globally, and are therefore a good candidate model for the application of such tools. Here, we analyse a global data set of killer whale genomes in a rare attempt to elucidate global population structure in a nonhuman species. We identify a pattern of genetic homogenisation at lower latitudes and the greatest differentiation at high latitudes, even between currently sympatric lineages. The processes underlying the major axis of structure include high drift at the edge of species' range, likely associated with founder effects and allelic surfing during postglacial range expansion. Divergence between Antarctic and non‐Antarctic lineages is further driven by ancestry segments with up to fourfold older coalescence time than the genome‐wide average; relicts of a previous vicariance during an earlier glacial cycle. Our study further underpins that episodic gene flow is ubiquitous in natural populations, and can occur across great distances and after substantial periods of isolation between populations. Thus, understanding the evolutionary history of a species requires comprehensive geographic sampling and genome‐wide data to sample the variation in ancestry within individuals. |
format |
Text |
author |
Foote, Andrew D. Martin, Michael D. Louis, Marie Pacheco, George Robertson, Kelly M. Sinding, Mikkel-Holger S. Amaral, Ana R. Baird, Robin W. Baker, Charles Scott Ballance, Lisa Barlow, Jay Brownlow, Andrew Collins, Tim Constantine, Rochelle Dabin, Willy Dalla Rosa, Luciano Davison, Nicholas J. Durban, John W. Esteban, Ruth Ferguson, Steven H. Gerrodette, Tim Guinet, Christophe Hanson, M. Bradley Hoggard, Wayne Matthews, Cory J. D. Samarra, Filipa I. P. De Stephanis, Renaud Tavares, Sara B. Tixier, Paul Totterdell, John A. Wade, Paul Excoffier, Laurent Gilbert, M. Thomas P. Wolf, Jochen B. W. Morin, Phillip A. |
author_facet |
Foote, Andrew D. Martin, Michael D. Louis, Marie Pacheco, George Robertson, Kelly M. Sinding, Mikkel-Holger S. Amaral, Ana R. Baird, Robin W. Baker, Charles Scott Ballance, Lisa Barlow, Jay Brownlow, Andrew Collins, Tim Constantine, Rochelle Dabin, Willy Dalla Rosa, Luciano Davison, Nicholas J. Durban, John W. Esteban, Ruth Ferguson, Steven H. Gerrodette, Tim Guinet, Christophe Hanson, M. Bradley Hoggard, Wayne Matthews, Cory J. D. Samarra, Filipa I. P. De Stephanis, Renaud Tavares, Sara B. Tixier, Paul Totterdell, John A. Wade, Paul Excoffier, Laurent Gilbert, M. Thomas P. Wolf, Jochen B. W. Morin, Phillip A. |
author_sort |
Foote, Andrew D. |
title |
Killer whale genomes reveal a complex history of recurrent admixture and vicariance |
title_short |
Killer whale genomes reveal a complex history of recurrent admixture and vicariance |
title_full |
Killer whale genomes reveal a complex history of recurrent admixture and vicariance |
title_fullStr |
Killer whale genomes reveal a complex history of recurrent admixture and vicariance |
title_full_unstemmed |
Killer whale genomes reveal a complex history of recurrent admixture and vicariance |
title_sort |
killer whale genomes reveal a complex history of recurrent admixture and vicariance |
publisher |
Wiley-Blackwell |
publishDate |
2019 |
url |
https://dx.doi.org/10.7892/boris.133897 https://boris.unibe.ch/133897/ |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Killer Whale Killer whale |
genre_facet |
Antarc* Antarctic Killer Whale Killer whale |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.7892/boris.133897 |
_version_ |
1766162927458451456 |