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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.
Afiliação
  • Chafin TK; Department of Biological Sciences University of Arkansas Fayetteville AR USA.
  • Zbinden ZD; Present address: Department of Ecology and Evolutionary Biology University of Colorado Boulder CO USA.
  • Douglas MR; Department of Biological Sciences University of Arkansas Fayetteville AR USA.
  • Martin BT; Department of Biological Sciences University of Arkansas Fayetteville AR USA.
  • Middaugh CR; Department of Biological Sciences University of Arkansas Fayetteville AR USA.
  • Gray MC; Research Division Arkansas Game and Fish Commission Little Rock AR USA.
  • Ballard JR; Research Division Arkansas Game and Fish Commission Little Rock AR USA.
  • Douglas ME; Research Division Arkansas Game and Fish Commission Little Rock AR USA.
Evol Appl ; 14(6): 1673-1689, 2021 Jun.
Article em En | MEDLINE | ID: mdl-34178112
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Evol Appl Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Evol Appl Ano de publicação: 2021 Tipo de documento: Article