Jensen Evelyn L, Tschritter Christina, de Groot Peter V C, Hayward Kristen M, Branigan Marsha, Dyck Markus, Clemente-Carvalho Rute B G, Lougheed Stephen C
Department of Biology Queen's University Kingston ON Canada.
Present address: Department of Ecology and Evolutionary Biology Yale University New Haven CT USA.
Ecol Evol. 2020 Mar 24;10(8):3706-3714. doi: 10.1002/ece3.6159. eCollection 2020 Apr.
Predicting the consequences of environmental changes, including human-mediated climate change on species, requires that we quantify range-wide patterns of genetic diversity and identify the ecological, environmental, and historical factors that have contributed to it. Here, we generate baseline data on polar bear population structure across most Canadian subpopulations ( = 358) using 13,488 genome-wide single nucleotide polymorphisms (SNPs) identified with double-digest restriction site-associated DNA sequencing (ddRAD). Our ddRAD dataset showed three genetic clusters in the sampled Canadian range, congruent with previous studies based on microsatellites across the same regions; however, due to a lack of sampling in Norwegian Bay, we were unable to confirm the existence of a unique cluster in that subpopulation. These data on the genetic structure of polar bears using SNPs provide a detailed baseline against which future shifts in population structure can be assessed, and opportunities to develop new noninvasive tools for monitoring polar bears across their range.
预测环境变化的后果,包括人类活动导致的气候变化对物种的影响,需要我们量化物种范围内的遗传多样性模式,并确定造成这种多样性的生态、环境和历史因素。在此,我们利用通过双酶切限制性位点关联DNA测序(ddRAD)鉴定出的13488个全基因组单核苷酸多态性(SNP),生成了加拿大大部分北极熊亚种群(n = 358)的种群结构基线数据。我们的ddRAD数据集在加拿大采样范围内显示出三个遗传簇,这与之前基于同一地区微卫星的研究结果一致;然而,由于挪威湾缺乏采样,我们无法证实该亚种群中独特遗传簇的存在。这些使用SNP的北极熊遗传结构数据提供了一个详细的基线,据此可以评估未来种群结构的变化,也为开发新的非侵入性工具来监测北极熊在其整个分布范围内的情况提供了机会。