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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
Canadian Journal of Fisheries and Aquatic Sciences ( IF 1.9 ) Pub Date : 2021-03-23 , DOI: 10.1139/cjfas-2020-0462
Terry D. Beacham 1 , Colin G. Wallace 2 , Kim Jonsen 3 , Ben J. G. Sutherland 4 , Carrie Gummer 4 , Eric B. Rondeau 5
Affiliation  

Canadian Journal of Fisheries and Aquatic Sciences, Ahead of Print.
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.


中文翻译:

使用单核苷酸多态性的直接 DNA 测序估算加拿大不列颠哥伦比亚省奇努克鲑鱼混合种群渔业的保护单位和种群贡献

加拿大渔业和水产科学杂志,提前印刷。
种群结构的确定和种群识别是渔业评估和管理中的一个普遍问题。太平洋鲑鱼渔业管理制度正在演变,要求在越来越小的报告单位上获得更高的种群构成分辨率。对于奇努克鲑鱼 (Oncorhynchus tshawytscha),采用了种群鉴定基线,该基线由来自俄罗斯到加利福尼亚的 369 个种群的约 125 198 只个体组成,用于遗传种群​​鉴定 (GSI)。基于多达 547 个单核苷酸多态性 (SNP) 变异的 GSI 分析被证明可以准确估计不列颠哥伦比亚省 68 个保护单位 (CU)、美国的 23 个报告组和俄罗斯的一个报告组的种群组成。在许多情况下,可以在渔业样本中对 CU 内的种群组成进行准确的种群特定估计,以及识别某些特定种群的个体。基于遗传学的评估系统为加拿大奇努克鲑鱼的基于保护的管理提供了机会。
更新日期:2021-03-23
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