Population genomics for wildlife conservation and management

Biodiversity is under threat worldwide. Over the past decade, the field of population genomics has developed across nonmodel organisms, and the results of this research have begun to be applied in conservation and management of wildlife species. Genomics tools can provide precise estimates of basic...

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Veröffentlicht in:Molecular ecology Jg. 30; H. 1; S. 62 - 82
Hauptverfasser: Hohenlohe, Paul A., Funk, W. Chris, Rajora, Om P.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Blackwell Publishing Ltd 01.01.2021
John Wiley and Sons Inc
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ISSN:0962-1083, 1365-294X, 1365-294X
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Abstract Biodiversity is under threat worldwide. Over the past decade, the field of population genomics has developed across nonmodel organisms, and the results of this research have begun to be applied in conservation and management of wildlife species. Genomics tools can provide precise estimates of basic features of wildlife populations, such as effective population size, inbreeding, demographic history and population structure, that are critical for conservation efforts. Moreover, population genomics studies can identify particular genetic loci and variants responsible for inbreeding depression or adaptation to changing environments, allowing for conservation efforts to estimate the capacity of populations to evolve and adapt in response to environmental change and to manage for adaptive variation. While connections from basic research to applied wildlife conservation have been slow to develop, these connections are increasingly strengthening. Here we review the primary areas in which population genomics approaches can be applied to wildlife conservation and management, highlight examples of how they have been used, and provide recommendations for building on the progress that has been made in this field.
AbstractList Biodiversity is under threat worldwide. Over the past decade, the field of population genomics has developed across nonmodel organisms, and the results of this research have begun to be applied in conservation and management of wildlife species. Genomics tools can provide precise estimates of basic features of wildlife populations, such as effective population size, inbreeding, demographic history and population structure, that are critical for conservation efforts. Moreover, population genomics studies can identify particular genetic loci and variants responsible for inbreeding depression or adaptation to changing environments, allowing for conservation efforts to estimate the capacity of populations to evolve and adapt in response to environmental change and to manage for adaptive variation. While connections from basic research to applied wildlife conservation have been slow to develop, these connections are increasingly strengthening. Here we review the primary areas in which population genomics approaches can be applied to wildlife conservation and management, highlight examples of how they have been used, and provide recommendations for building on the progress that has been made in this field.Biodiversity is under threat worldwide. Over the past decade, the field of population genomics has developed across nonmodel organisms, and the results of this research have begun to be applied in conservation and management of wildlife species. Genomics tools can provide precise estimates of basic features of wildlife populations, such as effective population size, inbreeding, demographic history and population structure, that are critical for conservation efforts. Moreover, population genomics studies can identify particular genetic loci and variants responsible for inbreeding depression or adaptation to changing environments, allowing for conservation efforts to estimate the capacity of populations to evolve and adapt in response to environmental change and to manage for adaptive variation. While connections from basic research to applied wildlife conservation have been slow to develop, these connections are increasingly strengthening. Here we review the primary areas in which population genomics approaches can be applied to wildlife conservation and management, highlight examples of how they have been used, and provide recommendations for building on the progress that has been made in this field.
Biodiversity is under threat worldwide. Over the past decade, the field of population genomics has developed across nonmodel organisms, and the results of this research have begun to be applied in conservation and management of wildlife species. Genomics tools can provide precise estimates of basic features of wildlife populations, such as effective population size, inbreeding, demographic history and population structure, that are critical for conservation efforts. Moreover, population genomics studies can identify particular genetic loci and variants responsible for inbreeding depression or adaptation to changing environments, allowing for conservation efforts to estimate the capacity of populations to evolve and adapt in response to environmental change and to manage for adaptive variation. While connections from basic research to applied wildlife conservation have been slow to develop, these connections are increasingly strengthening. Here we review the primary areas in which population genomics approaches can be applied to wildlife conservation and management, highlight examples of how they have been used, and provide recommendations for building on the progress that has been made in this field.
Author Rajora, Om P.
Hohenlohe, Paul A.
Funk, W. Chris
AuthorAffiliation 1 Department of Biological Sciences and Institute for Bioinformatics and Evolutionary Studies University of Idaho Moscow Idaho USA
3 Faculty of Forestry and Environmental Management University of New Brunswick Fredericton New Brunswick Canada
2 Department of Biology Graduate Degree Program in Ecology Colorado State University Fort Collins Colorado USA
AuthorAffiliation_xml – name: 3 Faculty of Forestry and Environmental Management University of New Brunswick Fredericton New Brunswick Canada
– name: 1 Department of Biological Sciences and Institute for Bioinformatics and Evolutionary Studies University of Idaho Moscow Idaho USA
– name: 2 Department of Biology Graduate Degree Program in Ecology Colorado State University Fort Collins Colorado USA
Author_xml – sequence: 1
  givenname: Paul A.
  orcidid: 0000-0002-7616-0161
  surname: Hohenlohe
  fullname: Hohenlohe, Paul A.
  email: hohenlohe@uidaho.edu
  organization: University of Idaho
– sequence: 2
  givenname: W. Chris
  orcidid: 0000-0002-6466-3618
  surname: Funk
  fullname: Funk, W. Chris
  organization: Colorado State University
– sequence: 3
  givenname: Om P.
  surname: Rajora
  fullname: Rajora, Om P.
  organization: University of New Brunswick
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33145846$$D View this record in MEDLINE/PubMed
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2020 The Authors. Molecular Ecology published by 2020 John Wiley & Sons Ltd.
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Issue 1
Keywords effective population size
adaptive capacity
population connectivity
inbreeding depression
genetic rescue
conservation units
Language English
License Attribution
2020 The Authors. Molecular Ecology published by 2020 John Wiley & Sons Ltd.
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Snippet Biodiversity is under threat worldwide. Over the past decade, the field of population genomics has developed across nonmodel organisms, and the results of this...
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SubjectTerms adaptive capacity
Biodiversity
Changing environments
conservation units
effective population size
Environmental changes
genetic rescue
Genomics
Inbreeding
Inbreeding depression
Invited Reviews and Syntheses
metagenomics
population connectivity
Population number
Population structure
Population studies
Populations
wildlife
Wildlife conservation
Wildlife management
Title Population genomics for wildlife conservation and management
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fmec.15720
https://www.ncbi.nlm.nih.gov/pubmed/33145846
https://www.proquest.com/docview/2472953913
https://www.proquest.com/docview/2457683354
https://www.proquest.com/docview/2985846431
https://pubmed.ncbi.nlm.nih.gov/PMC7894518
Volume 30
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