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

机译:大量管理物种中的空间群体遗传学:白尾鹿当代基因流动分离历史易位模式

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摘要

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.
机译:大约100年前,从北美洲的东部鹿(Odocoileus virginianus)几乎消除了收获,随后致力于将野生动物管理催化为国家优先事项。很快就遵循了广泛的股票补充工作,鹿在各国中广泛夸张,作为重建手段。然而,意外的后果是基因流的自然模式变得模糊,并且替换了人口结构的预转移签名。我们应用尖端的分子和生物地图工具,通过评估来自阿肯色州1143°梯度的常规的443°梯度常规的降低表示基因组测序来衍生的35,099个单核苷酸多态性(SNP)来施加历史管理的遗传签名。然后,我们雇用了辛普森的多样性指数,总结了祖先的作业并可视化空间遗传过渡。在这些转变中使用子采样的横断波,我们在重新定位和限制分散的情况下,在基因座上测试了对响应的理论期望。出现了两个突出的结果:(a)历史易位的遗传签名显而易见; (b)地理过滤器(主要河流;城市中心;高速公路)现在充当这种当代血统分配的拐点。这些结果在历史易位驱动的鹿和持续流程中产生了对当代人口结构的全态评估。此外,本文所采用的分析框架为了有效地破译阿肯色州的鹿分布的现存/历史驱动因素也适用于具有类似复杂的人口历史的其他生物多样性元素。

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