A new genomic resource to enable standardized surveys of SNPs across the native range of brook trout (Salvelinus fontinalis)

Author:

Mamoozadeh Nadya R.1ORCID,Whiteley Andrew R.2,Letcher Benjamin H.3,Kazyak David C.4,Tarsa Charlene1,Meek Mariah H.1ORCID

Affiliation:

1. Department of Integrative Biology, Program in Ecology, Evolution, and Behavior Michigan State University Michigan East Lansing USA

2. W.A. Franke College of Forestry and Conservation, Wildlife Biology Program University of Montana Missoula Montana USA

3. U.S. Geological Survey, Eastern Ecological Science Center Turners Falls Massachusetts USA

4. U.S. Geological Survey, Eastern Ecological Science Center Kearneysville West Virginia USA

Abstract

AbstractUnderstanding how genetic diversity is distributed across spatiotemporal scales in species of conservation or management concern is critical for identifying large‐scale mechanisms affecting local conservation status and implementing large‐scale biodiversity monitoring programmes. However, cross‐scale surveys of genetic diversity are often impractical within single studies, and combining datasets to increase spatiotemporal coverage is frequently impeded by using different sets of molecular markers. Recently developed molecular tools make surveys based on standardized single‐nucleotide polymorphism (SNP) panels more feasible than ever, but require existing genomic information. Here, we conduct the first survey of genome‐wide SNPs across the native range of brook trout (Salvelinus fontinalis), a cold‐adapted species that has been the focus of considerable conservation and management effort across eastern North America. Our dataset can be leveraged to easily design SNP panels that allow datasets to be combined for large‐scale analyses. We performed restriction site‐associated DNA sequencing for wild brook trout from 82 locations spanning much of the native range and domestic brook trout from 24 hatchery strains used in stocking efforts. We identified over 24,000 SNPs distributed throughout the brook trout genome. We explored the ability of these SNPs to resolve relationships across spatial scales, including population structure and hatchery admixture. Our dataset captures a wide spectrum of genetic diversity in native brook trout, offering a valuable resource for developing SNP panels. We highlight potential applications of this resource with the goal of increasing the integration of genomic information into decision‐making for brook trout and other species of conservation or management concern.

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics,Biotechnology

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