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Assessing polar bear (Ursus maritimus) population structure in the Hudson Bay region using SNPs

Defining subpopulations using genetics has traditionally used data from microsatellite markers to investigate population structure; however, single‐nucleotide polymorphisms (SNPs) have emerged as a tool for detection of fine‐scale structure. In Hudson Bay, Canada, three polar bear (Ursus maritimus)...

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Autores principales: Viengkone, Michelle, Derocher, Andrew Edward, Richardson, Evan Shaun, Malenfant, René Michael, Miller, Joshua Moses, Obbard, Martyn E., Dyck, Markus G., Lunn, Nick J., Sahanatien, Vicki, Davis, Corey S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167041/
https://www.ncbi.nlm.nih.gov/pubmed/28031799
http://dx.doi.org/10.1002/ece3.2563
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author Viengkone, Michelle
Derocher, Andrew Edward
Richardson, Evan Shaun
Malenfant, René Michael
Miller, Joshua Moses
Obbard, Martyn E.
Dyck, Markus G.
Lunn, Nick J.
Sahanatien, Vicki
Davis, Corey S.
author_facet Viengkone, Michelle
Derocher, Andrew Edward
Richardson, Evan Shaun
Malenfant, René Michael
Miller, Joshua Moses
Obbard, Martyn E.
Dyck, Markus G.
Lunn, Nick J.
Sahanatien, Vicki
Davis, Corey S.
author_sort Viengkone, Michelle
collection PubMed
description Defining subpopulations using genetics has traditionally used data from microsatellite markers to investigate population structure; however, single‐nucleotide polymorphisms (SNPs) have emerged as a tool for detection of fine‐scale structure. In Hudson Bay, Canada, three polar bear (Ursus maritimus) subpopulations (Foxe Basin (FB), Southern Hudson Bay (SH), and Western Hudson Bay (WH)) have been delineated based on mark–recapture studies, radiotelemetry and satellite telemetry, return of marked animals in the subsistence harvest, and population genetics using microsatellites. We used SNPs to detect fine‐scale population structure in polar bears from the Hudson Bay region and compared our results to the current designations using 414 individuals genotyped at 2,603 SNPs. Analyses based on discriminant analysis of principal components (DAPC) and STRUCTURE support the presence of four genetic clusters: (i) Western—including individuals sampled in WH, SH (excluding Akimiski Island in James Bay), and southern FB (south of Southampton Island); (ii) Northern—individuals sampled in northern FB (Baffin Island) and Davis Strait (DS) (Labrador coast); (iii) Southeast—individuals from SH (Akimiski Island in James Bay); and (iv) Northeast—individuals from DS (Baffin Island). Population structure differed from microsatellite studies and current management designations demonstrating the value of using SNPs for fine‐scale population delineation in polar bears.
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spelling pubmed-51670412016-12-28 Assessing polar bear (Ursus maritimus) population structure in the Hudson Bay region using SNPs Viengkone, Michelle Derocher, Andrew Edward Richardson, Evan Shaun Malenfant, René Michael Miller, Joshua Moses Obbard, Martyn E. Dyck, Markus G. Lunn, Nick J. Sahanatien, Vicki Davis, Corey S. Ecol Evol Original Research Defining subpopulations using genetics has traditionally used data from microsatellite markers to investigate population structure; however, single‐nucleotide polymorphisms (SNPs) have emerged as a tool for detection of fine‐scale structure. In Hudson Bay, Canada, three polar bear (Ursus maritimus) subpopulations (Foxe Basin (FB), Southern Hudson Bay (SH), and Western Hudson Bay (WH)) have been delineated based on mark–recapture studies, radiotelemetry and satellite telemetry, return of marked animals in the subsistence harvest, and population genetics using microsatellites. We used SNPs to detect fine‐scale population structure in polar bears from the Hudson Bay region and compared our results to the current designations using 414 individuals genotyped at 2,603 SNPs. Analyses based on discriminant analysis of principal components (DAPC) and STRUCTURE support the presence of four genetic clusters: (i) Western—including individuals sampled in WH, SH (excluding Akimiski Island in James Bay), and southern FB (south of Southampton Island); (ii) Northern—individuals sampled in northern FB (Baffin Island) and Davis Strait (DS) (Labrador coast); (iii) Southeast—individuals from SH (Akimiski Island in James Bay); and (iv) Northeast—individuals from DS (Baffin Island). Population structure differed from microsatellite studies and current management designations demonstrating the value of using SNPs for fine‐scale population delineation in polar bears. John Wiley and Sons Inc. 2016-10-28 /pmc/articles/PMC5167041/ /pubmed/28031799 http://dx.doi.org/10.1002/ece3.2563 Text en © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Viengkone, Michelle
Derocher, Andrew Edward
Richardson, Evan Shaun
Malenfant, René Michael
Miller, Joshua Moses
Obbard, Martyn E.
Dyck, Markus G.
Lunn, Nick J.
Sahanatien, Vicki
Davis, Corey S.
Assessing polar bear (Ursus maritimus) population structure in the Hudson Bay region using SNPs
title Assessing polar bear (Ursus maritimus) population structure in the Hudson Bay region using SNPs
title_full Assessing polar bear (Ursus maritimus) population structure in the Hudson Bay region using SNPs
title_fullStr Assessing polar bear (Ursus maritimus) population structure in the Hudson Bay region using SNPs
title_full_unstemmed Assessing polar bear (Ursus maritimus) population structure in the Hudson Bay region using SNPs
title_short Assessing polar bear (Ursus maritimus) population structure in the Hudson Bay region using SNPs
title_sort assessing polar bear (ursus maritimus) population structure in the hudson bay region using snps
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167041/
https://www.ncbi.nlm.nih.gov/pubmed/28031799
http://dx.doi.org/10.1002/ece3.2563
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