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ARTICLE

Chum Salmon Genetic Diversity in the Northeastern Pacific Ocean Assessed with Single Nucleotide Polymorphisms (SNPs): Applications to Fishery Management

, , , , , & show all
Pages 974-987 | Received 19 Dec 2014, Accepted 20 May 2015, Published online: 02 Oct 2015
 

Abstract

We examined genetic diversity patterns among 55 collections of Chum Salmon from the northeastern Pacific Ocean using 89 single nucleotide polymorphisms (SNPs). The distribution of Chum Salmon samples extended from the Nass River along the coast of British Columbia and along the coast of Washington as far south as the Columbia River. Chum Salmon represented three previously defined run-groups: fall (primarily), summer, and winter. Genetic variation at SNP loci, as measured by FST, ranged from 0.002 to 0.279 over all collections and averaged 0.062 over all loci. Similar to the genetic patterns detected with microsatellites and allozymes, genetic variation followed a regional structure along geographic distance, with genetic diversity being highest in the north and decreasing southward, then increasing in and near the Columbia River. Within Puget Sound, Washington, genetic variation was structured further according to run timing (fall, summer, and winter) and shared ancestry. Simulations indicated that this suite of SNPs is powerful for identifying regional components in a Chum Salmon mixed fishery. Because of the transferability of SNP data, the growing SNP baseline for Chum Salmon will be useful for multiple agencies managing Chum Salmon around the Pacific Rim.

Received December 19, 2014; accepted May 20, 2015

ACKNOWLEDGMENTS

We thank the following entities for sampling efforts and generously sharing Chum Salmon tissue and DNA samples: the Department of Fish and Oceans, Canada; the Alaska Department of Fish and Game; and the Washington Department of Fish and Wildlife. Funding was provided by the State of Alaska, Washington State General Funds, Washington State Wildlife Funds, the Gordon and Betty Moore Foundation, and the University of Washington. We thank Dale Gombert (Washington Department of Fish and Wildlife) for help constructing maps and thank two anonymous reviewers and the editors at the North American Journal of Fisheries Management for improving the manuscript with their comments and suggestions.

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