Powerful detection of polygenic selection and evidence of environmental adaptation in US beef cattle.

Selection on complex traits can rapidly drive evolution, especially in stressful environments. This polygenic selection does not leave intense sweep signatures on the genome, rather many loci experience small allele frequency shifts, resulting in large cumulative phenotypic changes. Directional sele...

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Autores principales: Troy N Rowan, Harly J Durbin, Christopher M Seabury, Robert D Schnabel, Jared E Decker
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/52b741b58b28422691c4f257b676af3e
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spelling oai:doaj.org-article:52b741b58b28422691c4f257b676af3e2021-12-02T20:02:55ZPowerful detection of polygenic selection and evidence of environmental adaptation in US beef cattle.1553-73901553-740410.1371/journal.pgen.1009652https://doaj.org/article/52b741b58b28422691c4f257b676af3e2021-07-01T00:00:00Zhttps://doi.org/10.1371/journal.pgen.1009652https://doaj.org/toc/1553-7390https://doaj.org/toc/1553-7404Selection on complex traits can rapidly drive evolution, especially in stressful environments. This polygenic selection does not leave intense sweep signatures on the genome, rather many loci experience small allele frequency shifts, resulting in large cumulative phenotypic changes. Directional selection and local adaptation are changing populations; but, identifying loci underlying polygenic or environmental selection has been difficult. We use genomic data on tens of thousands of cattle from three populations, distributed over time and landscapes, in linear mixed models with novel dependent variables to map signatures of selection on complex traits and local adaptation. We identify 207 genomic loci associated with an animal's birth date, representing ongoing selection for monogenic and polygenic traits. Additionally, hundreds of additional loci are associated with continuous and discrete environments, providing evidence for historical local adaptation. These candidate loci highlight the nervous system's possible role in local adaptation. While advanced technologies have increased the rate of directional selection in cattle, it has likely been at the expense of historically generated local adaptation, which is especially problematic in changing climates. When applied to large, diverse cattle datasets, these selection mapping methods provide an insight into how selection on complex traits continually shapes the genome. Further, understanding the genomic loci implicated in adaptation may help us breed more adapted and efficient cattle, and begin to understand the basis for mammalian adaptation, especially in changing climates. These selection mapping approaches help clarify selective forces and loci in evolutionary, model, and agricultural contexts.Troy N RowanHarly J DurbinChristopher M SeaburyRobert D SchnabelJared E DeckerPublic Library of Science (PLoS)articleGeneticsQH426-470ENPLoS Genetics, Vol 17, Iss 7, p e1009652 (2021)
institution DOAJ
collection DOAJ
language EN
topic Genetics
QH426-470
spellingShingle Genetics
QH426-470
Troy N Rowan
Harly J Durbin
Christopher M Seabury
Robert D Schnabel
Jared E Decker
Powerful detection of polygenic selection and evidence of environmental adaptation in US beef cattle.
description Selection on complex traits can rapidly drive evolution, especially in stressful environments. This polygenic selection does not leave intense sweep signatures on the genome, rather many loci experience small allele frequency shifts, resulting in large cumulative phenotypic changes. Directional selection and local adaptation are changing populations; but, identifying loci underlying polygenic or environmental selection has been difficult. We use genomic data on tens of thousands of cattle from three populations, distributed over time and landscapes, in linear mixed models with novel dependent variables to map signatures of selection on complex traits and local adaptation. We identify 207 genomic loci associated with an animal's birth date, representing ongoing selection for monogenic and polygenic traits. Additionally, hundreds of additional loci are associated with continuous and discrete environments, providing evidence for historical local adaptation. These candidate loci highlight the nervous system's possible role in local adaptation. While advanced technologies have increased the rate of directional selection in cattle, it has likely been at the expense of historically generated local adaptation, which is especially problematic in changing climates. When applied to large, diverse cattle datasets, these selection mapping methods provide an insight into how selection on complex traits continually shapes the genome. Further, understanding the genomic loci implicated in adaptation may help us breed more adapted and efficient cattle, and begin to understand the basis for mammalian adaptation, especially in changing climates. These selection mapping approaches help clarify selective forces and loci in evolutionary, model, and agricultural contexts.
format article
author Troy N Rowan
Harly J Durbin
Christopher M Seabury
Robert D Schnabel
Jared E Decker
author_facet Troy N Rowan
Harly J Durbin
Christopher M Seabury
Robert D Schnabel
Jared E Decker
author_sort Troy N Rowan
title Powerful detection of polygenic selection and evidence of environmental adaptation in US beef cattle.
title_short Powerful detection of polygenic selection and evidence of environmental adaptation in US beef cattle.
title_full Powerful detection of polygenic selection and evidence of environmental adaptation in US beef cattle.
title_fullStr Powerful detection of polygenic selection and evidence of environmental adaptation in US beef cattle.
title_full_unstemmed Powerful detection of polygenic selection and evidence of environmental adaptation in US beef cattle.
title_sort powerful detection of polygenic selection and evidence of environmental adaptation in us beef cattle.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/52b741b58b28422691c4f257b676af3e
work_keys_str_mv AT troynrowan powerfuldetectionofpolygenicselectionandevidenceofenvironmentaladaptationinusbeefcattle
AT harlyjdurbin powerfuldetectionofpolygenicselectionandevidenceofenvironmentaladaptationinusbeefcattle
AT christophermseabury powerfuldetectionofpolygenicselectionandevidenceofenvironmentaladaptationinusbeefcattle
AT robertdschnabel powerfuldetectionofpolygenicselectionandevidenceofenvironmentaladaptationinusbeefcattle
AT jarededecker powerfuldetectionofpolygenicselectionandevidenceofenvironmentaladaptationinusbeefcattle
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