Abstract
AbstractVariation at 17 microsatellite loci was analyzed for about 50,000 coho salmon Oncorhynchus kisutch sampled from 274 locations ranging from Russia to California (but largely from British Columbia), and the variation was applied to estimate stock composition in mixed‐stock fishery samples. High resolution of mixed‐stock samples was possible; accurate estimates of stock composition were available for coho salmon originating from 39 regions (Russia, 1 region; Yukon River, 1; southeast Alaska, 1; British Columbia, 28; Washington, 5; Columbia River, 1; Oregon, 1; California, 1). The power of a locus in providing accurate estimates of stock composition of simulated single‐population mixtures was related to the number of alleles observed at the locus. Approximately 800 alleles were observed across the 17 microsatellites. Analysis of known‐origin samples indicated that accurate regional estimates of stock composition were obtained; estimates from 37 of 39 regions had accuracy greater than 90%. Estimated stock compositions of five mixed‐fishery samples collected in British Columbia and the San Juan Islands (Washington) reflected the presence and timing of migration of the local populations. Microsatellites provided accurate estimates of stock composition from many locations in the British Columbia distribution of coho salmon.Received July 5, 2011; accepted October 22, 2011
Highlights
M 274 locations ranging from Russia to California, and the variation was applied to estimate stock composition in mixed-stock fishery samples
We evaluated the utility of using variation at 17 microsatellites for coho salmon stock identification applications in British Columbia
We demonstrated that sufficient population allele frequency variation exists at 17 microsatellites to enable accurate estimation of coho salmon stock composition to 39 reporting regions for mixed-stock samples by using this 274-population baseline
Summary
M 274 locations ranging from Russia to California (but largely from British Columbia), and the variation was applied to estimate stock composition in mixed-stock fishery samples. For other species of Pacific salmon, the accuracy and precision of estimated stock composition have been reported to be related to the number of alleles observed at a microsatellite locus; loci with more alleles are generally more powerful than those with fewer alleles (Beacham et al 2005, 2006, 2008b). Much of the work in Pacific salmon genetic stock identification has focused on increasing the resolution (higher accuracy and higher precision) of the stock composition estimates while at the same time maintaining or decreasing the cost of analysis per individual. The accuracy and precision of estimated stock compositions reported by Beacham et al (2001) were derived from applying eight microsatellite loci and two MHC loci with a baseline of 138 coho salmon populations originating largely from British Columbia. The resolution of estimated stock compositions reported by Beacham et al (2001) would likely be improved by increasing the number and regional representation of populations included in the baseline and by increasing the number of genetic markers used in the analysis
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