Estimation of conservation unit and population contribution to chinook salmon mixed-stock fisheries in british columbia, canada, using direct dna sequencing for single nucleotide polymorphisms

Abstract

Determination of population structure and stock identification is a general problem in fisheries assessment and management. Pacific salmon fishery management regimes are evolving to require higher resolution of stock composition on increasingly smaller reporting units. For Chinook salmon (Oncorhynchus tshawytscha), a stock identification baseline comprised of some 125 198 individuals from 369 populations ranging from Russia to California was employed for genetic stock identification (GSI). GSI analysis based on variation at up to 547 single nucleotide polymorphisms (SNPs) was demonstrated to provide accurate estimates of stock composition for 68 conservation units (CUs) in British Columbia, 23 reporting groups in the United States, and one reporting group in Russia. In many instances, accurate population-specific estimates of stock composition within a CU were possible in fishery samples, as well as identifying individuals to some specific populations. A genetics-based assessment system provides an opportunity for conservation-based management of Canadian Chinook salmon.