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。

IF 2 3区 农林科学 Q2 FISHERIES
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}
引用次数: 0

摘要

开发了一种新的单核苷酸多态性(SNP)小组,用于Teno河大西洋鲑鱼渔业的遗传种群鉴定,以期改进现有的微卫星小组。通过对河中37个地点收集的1212个个体的群体遗传分析,提出了22个遗传差异报告单元,并对bb3033000个全基因组snp进行了基因分型。这些snp的一小部分被选择用于遗传种群鉴定(GSI),使用迭代过程考虑了它们在报告单元中的多样性和差异。建立了一种基因分型测序方法,同时对180个GSI snp和一个性别标记进行基因分型。与微卫星面板相比,这种新的SNP面板显示出相对的GSI能力,在成本、速度和稳健性以及跨实验室和基因分型平台的可转移性方面有预期的改进。使用新小组对2018年泰诺河鲑鱼捕捞量进行的混合种群分析推断,所有22个报告单位都对渔业做出了贡献。估计捕捞比例与报告单位生产力的独立估计成正比:目标产卵雌性生物量。这证明了180 SNP面板在Teno河系统中大西洋鲑鱼GSI的有效性和有效性。如果定期进行GSI,可以微调管理战略以促进可持续渔业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of fish biology
Journal of fish biology 生物-海洋与淡水生物学
CiteScore
4.00
自引率
10.00%
发文量
292
审稿时长
3 months
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信