Helena Johansson, Jaakko Erkinaro, Morten Falkegård, Anders Foldvik, Panu Orell, Craig R Primmer, Victoria L Pritchard
{"title":"用单核苷酸多态性基因分型小组对特诺河大西洋鲑鱼(Salmo salar)种群复群进行有效的遗传种群鉴定。","authors":"Helena Johansson, Jaakko Erkinaro, Morten Falkegård, Anders Foldvik, Panu Orell, Craig R Primmer, Victoria L Pritchard","doi":"10.1111/jfb.70179","DOIUrl":null,"url":null,"abstract":"<p><p>A new single nucleotide polymorphism (SNP) panel for genetic stock identification in the Teno river Atlantic salmon, Salmo salar L., fishery was developed, with a view to improving on an existing microsatellite panel. Twenty-two genetically differentiated reporting units were proposed based on population genetic analyses of 1212 individuals collected at 37 locations in the river and genotyped for >33,000 genome-wide SNPs. A small subset of these SNPs was selected for genetic stock identification (GSI) using an iterative process that considered their diversity and differentiation across reporting units. A genotyping-by-sequencing assay was developed to simultaneously genotype 180 of these GSI SNPs plus a sexing marker. This new SNP panel showed comparative GSI power to the microsatellite panel, with anticipated improvements in terms of cost, speed and robustness, and transferability across laboratories and genotyping platforms. Mixed-stock analysis of the 2018 Teno river salmon catch using the new panel inferred that all 22 reporting units contributed to the fishery. Estimated catch proportions positively scaled with an independent estimate of reporting unit productivity: target spawning female biomass. This demonstrates the usefulness and efficiency of the 180 SNP panel for Atlantic salmon GSI in the Teno river system. If conducted on a regular basis, GSI can enable fine-tuning of management strategies to promote sustainable fishing.</p>","PeriodicalId":15794,"journal":{"name":"Journal of fish biology","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A single nucleotide polymorphism genotyping panel for efficient genetic stock identification of the Teno river Atlantic salmon (Salmo salar) population complex.\",\"authors\":\"Helena Johansson, Jaakko Erkinaro, Morten Falkegård, Anders Foldvik, Panu Orell, Craig R Primmer, Victoria L Pritchard\",\"doi\":\"10.1111/jfb.70179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>A new single nucleotide polymorphism (SNP) panel for genetic stock identification in the Teno river Atlantic salmon, Salmo salar L., fishery was developed, with a view to improving on an existing microsatellite panel. Twenty-two genetically differentiated reporting units were proposed based on population genetic analyses of 1212 individuals collected at 37 locations in the river and genotyped for >33,000 genome-wide SNPs. A small subset of these SNPs was selected for genetic stock identification (GSI) using an iterative process that considered their diversity and differentiation across reporting units. A genotyping-by-sequencing assay was developed to simultaneously genotype 180 of these GSI SNPs plus a sexing marker. This new SNP panel showed comparative GSI power to the microsatellite panel, with anticipated improvements in terms of cost, speed and robustness, and transferability across laboratories and genotyping platforms. Mixed-stock analysis of the 2018 Teno river salmon catch using the new panel inferred that all 22 reporting units contributed to the fishery. Estimated catch proportions positively scaled with an independent estimate of reporting unit productivity: target spawning female biomass. This demonstrates the usefulness and efficiency of the 180 SNP panel for Atlantic salmon GSI in the Teno river system. If conducted on a regular basis, GSI can enable fine-tuning of management strategies to promote sustainable fishing.</p>\",\"PeriodicalId\":15794,\"journal\":{\"name\":\"Journal of fish biology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of fish biology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1111/jfb.70179\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FISHERIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of fish biology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1111/jfb.70179","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FISHERIES","Score":null,"Total":0}
A single nucleotide polymorphism genotyping panel for efficient genetic stock identification of the Teno river Atlantic salmon (Salmo salar) population complex.
A new single nucleotide polymorphism (SNP) panel for genetic stock identification in the Teno river Atlantic salmon, Salmo salar L., fishery was developed, with a view to improving on an existing microsatellite panel. Twenty-two genetically differentiated reporting units were proposed based on population genetic analyses of 1212 individuals collected at 37 locations in the river and genotyped for >33,000 genome-wide SNPs. A small subset of these SNPs was selected for genetic stock identification (GSI) using an iterative process that considered their diversity and differentiation across reporting units. A genotyping-by-sequencing assay was developed to simultaneously genotype 180 of these GSI SNPs plus a sexing marker. This new SNP panel showed comparative GSI power to the microsatellite panel, with anticipated improvements in terms of cost, speed and robustness, and transferability across laboratories and genotyping platforms. Mixed-stock analysis of the 2018 Teno river salmon catch using the new panel inferred that all 22 reporting units contributed to the fishery. Estimated catch proportions positively scaled with an independent estimate of reporting unit productivity: target spawning female biomass. This demonstrates the usefulness and efficiency of the 180 SNP panel for Atlantic salmon GSI in the Teno river system. If conducted on a regular basis, GSI can enable fine-tuning of management strategies to promote sustainable fishing.
期刊介绍:
The Journal of Fish Biology is a leading international journal for scientists engaged in all aspects of fishes and fisheries research, both fresh water and marine. The journal publishes high-quality papers relevant to the central theme of fish biology and aims to bring together under one cover an overall picture of the research in progress and to provide international communication among researchers in many disciplines with a common interest in the biology of fish.