Development of a Genotyping-in-Thousands by Sequencing (GT-Seq) Panel for Identifying Individuals and Estimating Relatedness Among Alaska Black Bears (Ursus americanus)

IF 2.3 2区 生物学 Q2 ECOLOGY
Eleni L. Petrou, Colette D. Brandt, Timothy J. Spivey, Kristen M. Gruenthal, Cherie M. McKeeman, Sean D. Farley, David Battle, Cory Stantorf, Andrew M. Ramey
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Abstract

The management and conservation of large mammals, such as black bears (Ursus americanus), 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 (n = 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 (n = 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.

Abstract Image

利用测序(GT-Seq)技术建立千分之一的基因分型小组,用于阿拉斯加黑熊(美洲熊)的个体鉴定和亲缘关系估计
长期以来,管理和保护大型哺乳动物,如黑熊(美洲熊),一直是通过对种群规模和个体分布的遗传估计来了解的。扩增子测序方法,也被称为“千次基因分型测序”(GT-seq),现在可以在同一次测序中对数百个基因座和个体进行高效和经济的基因分型。在这里,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的狩猎熊(n = 85)的限制性内切位点相关DNA测序的基因组数据,我们在当地种群中发现了170个高度杂合的微单倍型和单核苷酸多态性(SNP)位点。为了实现个体的性别区分,我们还在GT-seq面板中纳入了先前发表的性别连锁位点。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得的组织(n = 82),这些组织可能是熊的亲戚,以及从阿拉斯加中南部广泛分布的地理位置收集的猎人收获的样本。经验验证表明,基因分型成功率高,重复亚样本的基因分型可重复性高。计算机模拟表明,GT-seq面板具有足够的统计能力,可以区分不同的个体和一阶亲属(父母-后代和全兄弟姐妹对)与不相关的个体。作为概念的最后证明,该小组被用来识别来自阿拉斯加安克雷奇城市和野生栖息地的个体熊和近亲。我们期望GT-seq小组将成为监测和管理阿拉斯加黑熊种群的有用基因组资源。
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来源期刊
CiteScore
4.40
自引率
3.80%
发文量
1027
审稿时长
3-6 weeks
期刊介绍: Ecology and Evolution is the peer reviewed journal for rapid dissemination of research in all areas of ecology, evolution and conservation science. The journal gives priority to quality research reports, theoretical or empirical, that develop our understanding of organisms and their diversity, interactions between them, and the natural environment. Ecology and Evolution gives prompt and equal consideration to papers reporting theoretical, experimental, applied and descriptive work in terrestrial and aquatic environments. The journal will consider submissions across taxa in areas including but not limited to micro and macro ecological and evolutionary processes, characteristics of and interactions between individuals, populations, communities and the environment, physiological responses to environmental change, population genetics and phylogenetics, relatedness and kin selection, life histories, systematics and taxonomy, conservation genetics, extinction, speciation, adaption, behaviour, biodiversity, species abundance, macroecology, population and ecosystem dynamics, and conservation policy.
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