The variation at 14 microsatellite loci and one major histocompatibility complex (MHC) locus was surveyed for over 48,000 sockeye salmon Oncorhynchus nerka sampled from 299 localities ranging from the Columbia River to Japan. For the microsatellite loci, the number of alleles observed at a locus was related to the power of the locus in providing accurate estimates of stock composition of single‐population mixtures. In an analysis of single‐population mixtures where the Pacific Rim baseline was used for estimation of stock identification, 80% accuracy for the average population was achieved by employing approximately 80 alleles in the analysis. Increasing the accuracy of estimated stock compositions to 90% for the average population required approximately 400 microsatellite alleles. When all loci were used to estimate stock compositions, estimates were above 80% for all sampling sites or populations, above 90% for the lake of origin, and generally above 95% for the region of origin. Analysis of known‐origin samples indicated that accurate lake or regional estimates of stock composition were obtained. The accuracy of identification of individual fish to the correct lake of origin was above 90%, regardless of whether the lakes were geographically widespread or within a single watershed. The estimated stock compositions of mixed‐fishery samples from the western Bering Sea, from the continental shelf near Kodiak Island in the Gulf of Alaska, from Southeast Alaska, and from Johnstone Strait in southern British Columbia were markedly different among samples. These stock compositions reflected geographical variation in fishery locations and variation in the migration pathways of either juvenile or maturing sockeye salmon. Variation of DNA enabled us to estimate accurately the origin of individual fish and the composition of mixed‐stock samples from any location in the Pacific Rim distribution of sockeye salmon.

The utility of DNA-based variation for stock identification was evaluated for Fraser River sockeye salmon Oncorhynchus nerka. For this evaluation, the variation at 14 microsatellite loci and one major histocompatibility complex (MHC) locus was determined from approximately 13,000 fish from 47 populations in the drainage. Genetic differentiation among the populations was observed, the overall F ST value for the 14 microsatellite loci surveyed being 0.054 and that for the MHC locus being 0.215. The variation among regions and populations within regions was approximately 20 times as great as that of the annual variation within populations for the microsatellite loci and 28 times as great for the MHC locus. The power of a microsatellite locus for population-specific identification in simulated mixture samples was positively correlated with the number of observed alleles at the locus. Analysis of simulated mixtures indicated that the mean percentage error of estimated stock compositions was less than 1% per population, with a standard deviation of approximately 3% for a mixture sample size of 150 fish. Estimated stock compositions of a known sample of radio-tagged sockeye salmon indicated that the mean percentage error was 1% per population and 1% per run-time group. The use of DNA variation to estimate stock compositions in the management of the 2002 Fraser River sockeye salmon fisheries indicated the early arrival of the late run in the Fraser River. Stock identification based on DNA-level variation will probably become the preferred method in Pacific salmon applications in the near future.

Abstract:Parentage-based tagging (PBT) and genetic stock identification (GSI) were used to identify individual coho salmon (Oncorhynchus kisutch) to specific populations and brood years. In total, 20 242 individuals from 117 populations were genotyped at 304 single nucleotide polymorphisms (SNPs) via direct sequencing of amplicons. Coho salmon from 15 populations were assigned via parentage analysis that required the genotypes of both parents. The overall accuracy of assignment for 1939 coho salmon to the correct population was 100%, and to correct brood year within population was also 100%. Inclusion of individuals requiring only a single parental genotype for identification resulted in assignments of 2101 individuals, with an accuracy of 99. 95% (2000-2001) to population and 100.0% to age. With 23 regions defined by the coded-wire tag (CWT) program, and individuals displaying an assignment probability <0.85 excluded from the analysis, mean regional assignment accuracy of individuals via GSI was 98.4% over all 23 regions. A PBT-GSI or PBT system of identification will provide an alternate method of identification in the assessment and management of Canadian-origin coho salmon relative to the existing CWT program.

The Pacific Rim population structure of sockeye salmon Oncorhynchus nerka was examined with a survey of microsatellite variation. Variation at 14 microsatellite loci was surveyed for over 48,000 sockeye salmon sampled from 299 localities ranging from the Columbia River to Japan. The value of the genetic differentiation index FST over all populations and loci was 0.097; individual locus values ranged from 0.038 to 0.154. Sockeye salmon from the Queen Charlotte Islands and the Columbia River displayed the least number of alleles relative to sockeye salmon from other regions in the Pacific Rim distribution of the species. Conversely, sockeye salmon displaying the greatest allelic diversity were observed in Southeast Alaska and the central coast of British Columbia. Sockeye salmon from these two regions displayed approximately 30% more alleles than did sockeye salmon from the Queen Charlotte Islands and the Columbia River. Sockeye salmon from Russia and western Alaska were, on average, less diverse than sockeye salmon from Southeast Alaska and more southerly locations in North America. A regional structuring of populations was generally observed among the sockeye salmon populations sampled, and populations were clustered within lakes and river drainages. At the Pacific Rim scale of population structure, there were two major groups of populations. The first group included populations from Russia, Bristol Bay, Kodiak Island, the Alsek River, and the Queen Charlotte Islands. The second group generally included populations from Southeast Alaska, British Columbia, and Washington. The distribution of microsatellite variation of sockeye salmon on a Pacific Rim basis reflected the origins of sockeye salmon radiating from refuges after the last glaciation period.

Wild Pacific salmon, including Coho salmon Onchorynchus kisutch, have been supplemented with hatchery propagation for over 50 years in support of increased ocean harvest and conservation of threatened populations. In Canada, the Wild Salmon Policy for Pacific salmon was established with the goal of maintaining and restoring healthy and diverse Pacific salmon populations, making conservation of wild salmon and their habitats the highest priority for resource management decision‐making. A new approach to the assessment and management of wild coho salmon, and the associated hatchery production and fishery management is needed. Implementation of parentage‐based tagging (PBT) may overcome problems associated with coded‐wire tag‐based (CWT) assessment and management of coho salmon fisheries, providing at a minimum information equivalent to that derived from the CWT program. PBT and genetic stock identification (GSI) were used to identify coho salmon sampled in fisheries (8,006 individuals) and escapements (1,692 individuals) in British Columbia to specific conservation units (CU), populations, and broodyears. Individuals were genotyped at 304 single nucleotide polymorphisms (SNPs) via direct sequencing of amplicons. Very high accuracy of assignment to population (100%) via PBT for 543 jack (age 2) assigned to correct age and collection location and 265 coded‐wire tag (CWT, age 3) coho salmon assigned to correct age and release location was observed, with a 40,774—individual, 267—population baseline available for assignment. Coho salmon from un‐CWTed enhanced populations contributed 65% of the catch in southern recreational fisheries in 2017. Application of a PBT‐GSI system of identification to individuals in 2017 fisheries and escapements provided high‐resolution estimates of stock composition, catch, and exploitation rate by CU or population, providing an alternate and more effective method in the assessment and management of Canadian‐origin coho salmon relative to CWTs, and an opportunity for a genetic‐based system to replace the current CWT system for coho salmon assessment.