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Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white‐tailed deer
Approximately 100 years ago, unregulated harvest nearly eliminated white‐tailed deer (Odocoileus virginianus) from eastern North America, which subsequently served to catalyze wildlife management as a national priority. An extensive stock‐replenishment effort soon followed, with deer broadly translo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210790/ https://www.ncbi.nlm.nih.gov/pubmed/34178112 http://dx.doi.org/10.1111/eva.13233 |
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author | Chafin, Tyler K. Zbinden, Zachery D. Douglas, Marlis R. Martin, Bradley T. Middaugh, Christopher R. Gray, M. Cory Ballard, Jennifer R. Douglas, Michael E. |
author_facet | Chafin, Tyler K. Zbinden, Zachery D. Douglas, Marlis R. Martin, Bradley T. Middaugh, Christopher R. Gray, M. Cory Ballard, Jennifer R. Douglas, Michael E. |
author_sort | Chafin, Tyler K. |
collection | PubMed |
description | Approximately 100 years ago, unregulated harvest nearly eliminated white‐tailed deer (Odocoileus virginianus) from eastern North America, which subsequently served to catalyze wildlife management as a national priority. An extensive stock‐replenishment effort soon followed, with deer broadly translocated among states as a means of re‐establishment. However, an unintended consequence was that natural patterns of gene flow became obscured and pretranslocation signatures of population structure were replaced. We applied cutting‐edge molecular and biogeographic tools to disentangle genetic signatures of historical management from those reflecting spatially heterogeneous dispersal by evaluating 35,099 single nucleotide polymorphisms (SNPs) derived via reduced‐representation genomic sequencing from 1143 deer sampled statewide in Arkansas. We then employed Simpson's diversity index to summarize ancestry assignments and visualize spatial genetic transitions. Using sub‐sampled transects across these transitions, we tested clinal patterns across loci against theoretical expectations of their response under scenarios of re‐colonization and restricted dispersal. Two salient results emerged: (A) Genetic signatures from historic translocations are demonstrably apparent; and (B) Geographic filters (major rivers; urban centers; highways) now act as inflection points for the distribution of this contemporary ancestry. These results yielded a statewide assessment of contemporary population structure in deer as driven by historic translocations as well as ongoing processes. In addition, the analytical framework employed herein to effectively decipher extant/historic drivers of deer distribution in Arkansas is also applicable for other biodiversity elements with similarly complex demographic histories. |
format | Online Article Text |
id | pubmed-8210790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82107902021-06-25 Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white‐tailed deer Chafin, Tyler K. Zbinden, Zachery D. Douglas, Marlis R. Martin, Bradley T. Middaugh, Christopher R. Gray, M. Cory Ballard, Jennifer R. Douglas, Michael E. Evol Appl Original Articles Approximately 100 years ago, unregulated harvest nearly eliminated white‐tailed deer (Odocoileus virginianus) from eastern North America, which subsequently served to catalyze wildlife management as a national priority. An extensive stock‐replenishment effort soon followed, with deer broadly translocated among states as a means of re‐establishment. However, an unintended consequence was that natural patterns of gene flow became obscured and pretranslocation signatures of population structure were replaced. We applied cutting‐edge molecular and biogeographic tools to disentangle genetic signatures of historical management from those reflecting spatially heterogeneous dispersal by evaluating 35,099 single nucleotide polymorphisms (SNPs) derived via reduced‐representation genomic sequencing from 1143 deer sampled statewide in Arkansas. We then employed Simpson's diversity index to summarize ancestry assignments and visualize spatial genetic transitions. Using sub‐sampled transects across these transitions, we tested clinal patterns across loci against theoretical expectations of their response under scenarios of re‐colonization and restricted dispersal. Two salient results emerged: (A) Genetic signatures from historic translocations are demonstrably apparent; and (B) Geographic filters (major rivers; urban centers; highways) now act as inflection points for the distribution of this contemporary ancestry. These results yielded a statewide assessment of contemporary population structure in deer as driven by historic translocations as well as ongoing processes. In addition, the analytical framework employed herein to effectively decipher extant/historic drivers of deer distribution in Arkansas is also applicable for other biodiversity elements with similarly complex demographic histories. John Wiley and Sons Inc. 2021-05-04 /pmc/articles/PMC8210790/ /pubmed/34178112 http://dx.doi.org/10.1111/eva.13233 Text en © 2021 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://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 Articles Chafin, Tyler K. Zbinden, Zachery D. Douglas, Marlis R. Martin, Bradley T. Middaugh, Christopher R. Gray, M. Cory Ballard, Jennifer R. Douglas, Michael E. Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white‐tailed deer |
title | Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white‐tailed deer |
title_full | Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white‐tailed deer |
title_fullStr | Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white‐tailed deer |
title_full_unstemmed | Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white‐tailed deer |
title_short | Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white‐tailed deer |
title_sort | spatial population genetics in heavily managed species: separating patterns of historical translocation from contemporary gene flow in white‐tailed deer |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210790/ https://www.ncbi.nlm.nih.gov/pubmed/34178112 http://dx.doi.org/10.1111/eva.13233 |
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