Sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the Scandinavian brown bear (Ursus arctos)

The degree of gene flow within and among populations, i.e. genetic population connectivity, may closely track demographic population connectivity. Alternatively, the rate of gene flow may change relative to the rate of dispersal. In this study, we explored the relationship between genetic and demogr...

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Published in:PLOS ONE
Main Authors: Schregel, Julia, Kopatz, Alexander, Eiken, Hans Geir, Swenson, Jon E., Hagen, Snorre B.
Format: Text
Language:English
Published: Public Library of Science 2017
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495496/
http://www.ncbi.nlm.nih.gov/pubmed/28672045
https://doi.org/10.1371/journal.pone.0180701
id ftpubmed:oai:pubmedcentral.nih.gov:5495496
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spelling ftpubmed:oai:pubmedcentral.nih.gov:5495496 2023-05-15T18:42:14+02:00 Sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the Scandinavian brown bear (Ursus arctos) Schregel, Julia Kopatz, Alexander Eiken, Hans Geir Swenson, Jon E. Hagen, Snorre B. 2017-07-03 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495496/ http://www.ncbi.nlm.nih.gov/pubmed/28672045 https://doi.org/10.1371/journal.pone.0180701 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495496/ http://www.ncbi.nlm.nih.gov/pubmed/28672045 http://dx.doi.org/10.1371/journal.pone.0180701 © 2017 Schregel 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. CC-BY Research Article Text 2017 ftpubmed https://doi.org/10.1371/journal.pone.0180701 2017-07-23T00:04:22Z The degree of gene flow within and among populations, i.e. genetic population connectivity, may closely track demographic population connectivity. Alternatively, the rate of gene flow may change relative to the rate of dispersal. In this study, we explored the relationship between genetic and demographic population connectivity using the Scandinavian brown bear as model species, due to its pronounced male dispersal and female philopatry. Thus, we expected that females would shape genetic structure locally, whereas males would act as genetic mediators among regions. To test this, we used eight validated microsatellite markers on 1531 individuals sampled noninvasively during country-wide genetic population monitoring in Sweden and Norway from 2006 to 2013. First, we determined sex-specific genetic structure and substructure across the study area. Second, we compared genetic differentiation, migration/gene flow patterns, and spatial autocorrelation results between the sexes both within and among genetic clusters and geographic regions. Our results indicated that demographic connectivity was not a reliable indicator of genetic connectivity. Among regions, we found no consistent difference in long-term gene flow and estimated current migration rates between males and females. Within regions/genetic clusters, only females consistently displayed significant positive spatial autocorrelation, indicating male-biased small-scale dispersal. In one cluster, however, males showed a dispersal pattern similar to females. The Scandinavian brown bear population has experienced substantial recovery over the last decades; however, our results did not show any changes in its large-scale population structure compared to previous studies, suggesting that an increase in population size and dispersal of individuals does not necessary lead to increased genetic connectivity. Thus, we conclude that both genetic and demographic connectivity should be estimated, so as not to make false assumptions about the reality of wildlife populations. Text Ursus arctos PubMed Central (PMC) Norway PLOS ONE 12 7 e0180701
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Schregel, Julia
Kopatz, Alexander
Eiken, Hans Geir
Swenson, Jon E.
Hagen, Snorre B.
Sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the Scandinavian brown bear (Ursus arctos)
topic_facet Research Article
description The degree of gene flow within and among populations, i.e. genetic population connectivity, may closely track demographic population connectivity. Alternatively, the rate of gene flow may change relative to the rate of dispersal. In this study, we explored the relationship between genetic and demographic population connectivity using the Scandinavian brown bear as model species, due to its pronounced male dispersal and female philopatry. Thus, we expected that females would shape genetic structure locally, whereas males would act as genetic mediators among regions. To test this, we used eight validated microsatellite markers on 1531 individuals sampled noninvasively during country-wide genetic population monitoring in Sweden and Norway from 2006 to 2013. First, we determined sex-specific genetic structure and substructure across the study area. Second, we compared genetic differentiation, migration/gene flow patterns, and spatial autocorrelation results between the sexes both within and among genetic clusters and geographic regions. Our results indicated that demographic connectivity was not a reliable indicator of genetic connectivity. Among regions, we found no consistent difference in long-term gene flow and estimated current migration rates between males and females. Within regions/genetic clusters, only females consistently displayed significant positive spatial autocorrelation, indicating male-biased small-scale dispersal. In one cluster, however, males showed a dispersal pattern similar to females. The Scandinavian brown bear population has experienced substantial recovery over the last decades; however, our results did not show any changes in its large-scale population structure compared to previous studies, suggesting that an increase in population size and dispersal of individuals does not necessary lead to increased genetic connectivity. Thus, we conclude that both genetic and demographic connectivity should be estimated, so as not to make false assumptions about the reality of wildlife populations.
format Text
author Schregel, Julia
Kopatz, Alexander
Eiken, Hans Geir
Swenson, Jon E.
Hagen, Snorre B.
author_facet Schregel, Julia
Kopatz, Alexander
Eiken, Hans Geir
Swenson, Jon E.
Hagen, Snorre B.
author_sort Schregel, Julia
title Sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the Scandinavian brown bear (Ursus arctos)
title_short Sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the Scandinavian brown bear (Ursus arctos)
title_full Sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the Scandinavian brown bear (Ursus arctos)
title_fullStr Sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the Scandinavian brown bear (Ursus arctos)
title_full_unstemmed Sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the Scandinavian brown bear (Ursus arctos)
title_sort sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the scandinavian brown bear (ursus arctos)
publisher Public Library of Science
publishDate 2017
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495496/
http://www.ncbi.nlm.nih.gov/pubmed/28672045
https://doi.org/10.1371/journal.pone.0180701
geographic Norway
geographic_facet Norway
genre Ursus arctos
genre_facet Ursus arctos
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495496/
http://www.ncbi.nlm.nih.gov/pubmed/28672045
http://dx.doi.org/10.1371/journal.pone.0180701
op_rights © 2017 Schregel 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.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1371/journal.pone.0180701
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