Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden.
Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, Riddarhyttan, Sweden.
Conserv Biol. 2018 Dec;32(6):1301-1312. doi: 10.1111/cobi.13157. Epub 2018 Sep 7.
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 ) from 10,000 well before the last glaciation to <500 after this period. Current N appeared even lower. The genome-wide F 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.
遗传方法已被证明对濒危种群的研究和保护非常有价值,特别是对于监测计划,并且通过将分析扩展到基因组水平,在这方面有可能进一步发展。我们组装了貂熊(Gulo gulo)的基因组,这是一种在斯堪的纳维亚半岛最近从种群大量减少中恢复过来的鼬科动物,并获得了一个 2.42Gb 的草图序列,代表了>85%的基因组,包括>21000 个蛋白质编码基因。然后,我们对 10 只斯堪的纳维亚貂熊进行了全基因组重测序,以进行群体基因组和人口动态分析。遗传多样性是在红色名录种群中检测到的最低水平之一(平均全基因组核苷酸多样性为 0.05%)。人口动态分析的结果表明,有效种群数量(N)长期下降,早在最后一次冰川期之前就从 10000 下降到了这个时期之后的<500。目前的 N 甚至更低。全基因组 F 水平为 0.089(可能表示近亲繁殖),但在分析一组高度可变的 SNP 标记时并未观察到这种效应,这表明此类标记可能会对遗传多样性的整体特征产生偏差。我们发现了显著的种群结构,这对种群连通性和保护具有重要意义。我们使用集成的微流控芯片技术开发了一种 SNP 芯片,该芯片由 96 个高度信息性标记组成,与多重预扩增步骤一起,成功应用于来自粪便样本的低质量 DNA。我们的研究结果将为貂熊的管理、保护和遗传监测提供信息,并为其他濒危物种提供基因组路线图。这里使用的方法可以普遍应用于其他系统,但我们承认在基因组资源投资和直接保护行动之间存在权衡。