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Journal Article

Thematic Layers of Genomic Susceptibility for Conservation Monitoring

Andrew N. Black; Jong Yoon Jeon; Andrew J. Mularo; Natalie M. Allen; Erangi Heenkenda; Julia C. Buchanan‐Schwanke; John W. Bickham; Zachary E. Lowe; J. Andrew DeWoody
Molecular Ecology · Vol. 34, Issue 23 · 2025

Abstract

Population genomics has great potential to inform applied conservation management and associated policy. However, the bioinformatic analyses and interpretation of population genomic datasets can be daunting and difficult to convey to nonspecialists, including on‐the‐ground conservationists that work with many state, federal and international agencies. We think that individual population genomic metrics of interest can be interpolated and ultimately distilled into thematic GIS layers that represent spatiotemporal genomic potential (or conversely, susceptibility) in conservation monitoring. As examples relevant to ongoing conservation efforts, we use introgressive hybridisation and individual heterozygosity to illustrate a conceptual approach for mapping population genomic susceptibility. The general framework of thematic layers could be extended to integrate key genomic metrics (e.g., runs of homozygosity and genomic load) that are relevant to many conservation efforts.

Bibliographic Information

JournalMolecular Ecology
PublisherWiley
Publication Date2025-12-01
Publication Year2025
Volume34
Issue23
Document TypeJournal Article
Print ISSN0962-1083
eISSN1365-294X
DOI10.1111/mec.17582
SubjectEcology & Organismal Biology

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/1365294X
Publisher PageOpen Publisher Page
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