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首页|Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer

Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer

Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer

来源:bioRxiv_logobioRxiv
英文摘要

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 pre-translocation 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 1,143 deer sampled state-wide 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 recolonization 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 state-wide 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 are also applicable for other biodiversity elements with similarly complex demographic histories.

Chafin Tyler K.、Douglas Marlis R.、Middaugh Christopher R.、Ballard Jennifer R.、Douglas Michael E.、Zbinden Zachery D.、Martin Bradley T.、Gray M. Cory

Department of Biological Sciences, University of ArkansasDepartment of Biological Sciences, University of ArkansasArkansas Game and Fish Commission, Research, Evaluation, and Compliance DivisionArkansas Game and Fish Commission, Research, Evaluation, and Compliance DivisionDepartment of Biological Sciences, University of ArkansasDepartment of Biological Sciences, University of ArkansasDepartment of Biological Sciences, University of ArkansasArkansas Game and Fish Commission, Research, Evaluation, and Compliance Division

10.1101/2020.09.22.308825

遗传学动物学生物科学研究方法、生物科学研究技术

Gene flowManagementPopulation connectivityddRADseqSNPsPopulation structureHistorical population dynamicsGenetic driftWildlife

Chafin Tyler K.,Douglas Marlis R.,Middaugh Christopher R.,Ballard Jennifer R.,Douglas Michael E.,Zbinden Zachery D.,Martin Bradley T.,Gray M. Cory.Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer[EB/OL].(2025-03-28)[2025-08-02].https://www.biorxiv.org/content/10.1101/2020.09.22.308825.点此复制

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