Development of a Genotyping‐in‐Thousands by Sequencing (<scp>GT</scp>‐Seq) Panel for Identifying Individuals and Estimating Relatedness Among Alaska Black Bears (<scp><i>Ursus americanus</i></scp>)
The management and conservation of large mammals, such as black bears (<i>Ursus americanus</i>), 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 (<i>n</i> = 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 (<i>n</i> = 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.
Authors
- Sean D. Farley (ORCID: https://orcid.org/0000-0003-3950-9958)
- Eleni L. Petrou (ORCID: https://orcid.org/0000-0001-7811-9288)
- Timothy J. Spivey (ORCID: https://orcid.org/0000-0003-2735-2770)
- David Battle
- Andrew M. Ramey (ORCID: https://orcid.org/0000-0002-3601-8400)
- Kristen M. Gruenthal (ORCID: https://orcid.org/0000-0002-1985-5071)
- Cory J. Stantorf
- Cherie M. McKeeman (ORCID: https://orcid.org/0000-0001-9868-2502)
- Colette D. Brandt
Institutions
- Alaska Department of Fish and Game (US)
- United States Geological Survey (US)
- U.S. Geological Survey, Alaska Science Center
Publication Details
- Journal
- Ecology and Evolution
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1002/ece3.71273
- Citations
- 4
- Primary Topic
- Genetic diversity and population structure
- Type
- article
- Field-Weighted Citation Impact
- 7.27
Funders
- Massachusetts Department of Fish and Game
- Alaska Department of Fish and Game
- National Oceanic and Atmospheric Administration
- U.S. Geological Survey