Petrou Eleni L, Brandt Colette D, Spivey Timothy J, Gruenthal Kristen M, McKeeman Cherie M, Farley Sean D, Battle David, Stantorf Cory, Ramey Andrew M
U.S. Geological Survey, Alaska Science Center 4210 University Drive Anchorage Alaska USA.
U.S. air Force, Joint Base Elmendorf-Richardson JBER Alaska USA.
Ecol Evol. 2025 Apr 11;15(4):e71273. doi: 10.1002/ece3.71273. eCollection 2025 Apr.
The management and conservation of large mammals, such as black bears (), have long been informed by genetic estimates of population size and individual dispersal. Amplicon sequencing methods, also known as 'genotyping-in-thousands-by sequencing' (GT-seq), now enable the efficient and cost-effective genotyping of hundreds of loci and individuals in the same sequencing run. Here, we develop a GT-seq panel for individual identification and kinship inference in Alaska black bears. Using genomic data from restriction site-associated DNA sequencing of hunter-harvested bears from Southcentral Alaska ( = 85), we identified 170 microhaplotype and single nucleotide polymorphism (SNP) loci that were highly heterozygous in local populations. To enable sexing of individuals, we also included a previously published sex-linked locus in the GT-seq panel. We empirically validated the GT-seq panel using samples collected at different spatial scales. These samples included tissues ( = 82) obtained from bears within a small geographic area in Anchorage, Alaska, which were likely to be relatives as well as the hunter-harvested samples collected from geographically widespread locations throughout Southcentral Alaska. Empirical validation indicated high genotyping success and genotype reproducibility across replicate subsamples. Computer simulations demonstrated that the GT-seq panel had ample statistical power for distinguishing distinct individuals and first-order relatives (parent-offspring and full-sibling pairs) from unrelated individuals. As a final proof of concept, the panel was used to identify individual bears and close kin sampled from urban and wild habitats in Anchorage, Alaska. We anticipate that the GT-seq panel will be a useful genomic resource for the monitoring and management of Alaska black bear populations.
长期以来,诸如黑熊( )等大型哺乳动物的管理和保护一直受到种群数量和个体扩散的遗传估计的影响。扩增子测序方法,也称为“数千基因分型测序”(GT-seq),现在能够在同一次测序运行中对数百个基因座和个体进行高效且经济高效的基因分型。在此,我们开发了一个GT-seq面板,用于阿拉斯加黑熊的个体识别和亲属关系推断。利用来自阿拉斯加中南部猎人捕获的熊的限制性位点相关DNA测序的基因组数据( = 85),我们鉴定出170个微单倍型和单核苷酸多态性(SNP)位点,这些位点在当地种群中高度杂合。为了能够对个体进行性别鉴定,我们还在GT-seq面板中纳入了一个先前发表的性连锁位点。我们使用在不同空间尺度上收集的样本对GT-seq面板进行了实证验证。这些样本包括从阿拉斯加安克雷奇一个小地理区域内的熊身上获取的组织( = 82),这些熊可能是亲属,以及从阿拉斯加中南部地理分布广泛的地点收集的猎人捕获样本。实证验证表明,在重复子样本中基因分型成功率高且基因型可重复性强。计算机模拟表明,GT-seq面板具有足够的统计能力来区分不同个体以及一级亲属(亲子对和全同胞对)与无关个体。作为最终的概念验证,该面板被用于识别从阿拉斯加安克雷奇的城市和野生栖息地采集的个体熊和近亲。我们预计,GT-seq面板将成为阿拉斯加黑熊种群监测和管理的有用基因组资源。