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Genome sequencing and conservation genomics in the Scandinavian wolverine population

机译:斯堪的纳维亚狼群人口基因组测序与保护基因组学

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Genetic approaches have proved valuable to the study and conservation of endangered populations, especially for monitoring programs, and there is potential for further developments in this direction by extending analyses to the genomic level. We assembled the genome of the wolverine (Gulo gulo), a mustelid that in Scandinavia has recently recovered from a significant population decline, and obtained a 2.42 Gb draft sequence representing 85% of the genome and including 21,000 protein-coding genes. We then performed whole-genome resequencing of 10 Scandinavian wolverines for population genomic and demographic analyses. Genetic diversity was among the lowest detected in a red-listed population (mean genome-wide nucleotide diversity of 0.05%). Results of the demographic analyses indicated a long-term decline of the effective population size (N-e) from 10,000 well before the last glaciation to N-e appeared even lower. The genome-wide F-IS level was 0.089 (possibly signaling inbreeding), but this effect was not observed when analyzing a set of highly variable SNP markers, illustrating that such markers can give a biased picture of the overall character of genetic diversity. We found significant population structure, which has implications for population connectivity and conservation. We used an integrated microfluidic circuit chip technology to develop an SNP-array consisting of 96 highly informative markers that, together with a multiplex pre-amplification step, was successfully applied to low-quality DNA from scat samples. Our findings will inform management, conservation, and genetic monitoring of wolverines and serve as a genomic roadmap that can be applied to other endangered species. The approach used here can be generally utilized in other systems, but we acknowledge the trade-off between investing in genomic resources and direct conservation actions.
机译:遗传方法证明了对濒危人群的研究和保护有价值,特别是对于监测计划,通过将分析延伸到基因组水平,潜在的进一步发展。我们组装了狼獾(Gulo Gulo)的基因组,这是一种在斯堪的纳维亚最近从大量人口下降中恢复的芥菜,并获得了2.42 GB的序列,代表& 85%的基因组,包括& 21,000种蛋白质编码基因。然后,我们对人口基因组和人口分析进行了10个斯堪的纳维亚金狼群的全基因组重新开始。遗传多样性是红色列出的人群中最低检测到的(平均基因组核苷酸多样性为0.05%)。人口统计学分析结果表明,在最后一次冰川到N-E甚至降低之前,有效群体大小(N-E)的长期下降。基因组的F-IS水平为0.089(可能是发信号通知释义),但是在分析一组高度可变的SNP标记时未观察到这种效果,说明这种标记可以给出遗传多样性的总体特征的偏置图像。我们发现了重要的人口结构,这对人口连接和保护具有影响。我们使用了集成的微流体电路芯片技术来开发由96个高度信息性标记组成的SNP阵列,与多重预扩增步骤一起成功应用于来自SCAT样品的低质量DNA。我们的调查结果将为狼獾提供信息,保护和遗传监测,并作为可应用于其他濒危物种的基因组路线图。这里使用的方法通常可以在其他系统中使用,但我们承认投资基因组资源和直接保护行动之间的权衡。

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