从低覆盖率全基因组测序 (lcWGS) 中开发 SNP 面板,以支持加拿大北部三个鲑科鱼种的土著渔业。

IF 5.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Anne Beemelmanns, Raphaël Bouchard, Sozos Michaelides, Eric Normandeau, Hyung-Bae Jeon, Badrouyk Chamlian, Charles Babin, Philippe Hénault, Océane Perrot, Les N Harris, Xinhua Zhu, Dylan Fraser, Louis Bernatchez, Jean-Sébastien Moore
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引用次数: 0

摘要

单核苷酸多态性(SNP)面板是评估鱼类遗传种群结构和散布的有力工具,可加强商业、休闲和自给性混合种群渔业的管理实践。北极鲑(Salvelinus alpinus)、布鲁克鳟(Salvelinus fontinalis)和湖白鲑(Coregonus clupeaformis)是加拿大北部土著社区收获和消费最多的鱼类物种,对粮食安全、文化、传统和经济做出了重大贡献。然而,北部社区(如因纽特人、克里人、德内人)尚未广泛获取支持土著渔业的遗传资源。在此,我们开发了千人基因分型测序(GT-seq)面板,用于三种鲑科鱼类的种群分配和混合种群分析,以支持加拿大北部的渔业管理或共同管理。利用来自剑桥湾(努纳武特地区)、大奴湖(西北地区)、詹姆斯湾(魁北克省)和米斯塔西尼湖(魁北克省)源种群的 418 个个体的低覆盖率全基因组测序数据,我们开发了一套生物信息 SNP 筛选工作流程,从基因型似然性中筛选出有信息量的 SNP 标记。这些标记随后被用于设计 GT-seq 面板,从而实现了这些物种的高通量基因分型。三个 GT-seq 面板平均产生了 413 个常染色体位点,并使用 525 个个体进行了验证,平均分配准确率为 83%。因此,这些 GT-seq 面板是评估种群结构和量化多区域混养渔业中种群/鱼种相对贡献的有力工具。将从这些工具中获得的基因组数据与传统生态知识相结合,将确保土著社区对三种具有重要文化意义的鲑科鱼类的可持续捕捞,从而为加拿大北部的粮食安全计划和经济做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of SNP Panels from Low-Coverage Whole Genome Sequencing (lcWGS) to Support Indigenous Fisheries for Three Salmonid Species in Northern Canada.

Single nucleotide polymorphism (SNP) panels are powerful tools for assessing the genetic population structure and dispersal of fishes and can enhance management practices for commercial, recreational and subsistence mixed-stock fisheries. Arctic Char (Salvelinus alpinus), Brook Trout (Salvelinus fontinalis) and Lake Whitefish (Coregonus clupeaformis) are among the most harvested and consumed fish species in Northern Indigenous communities in Canada, contributing significantly to food security, culture, tradition and economy. However, genetic resources supporting Indigenous fisheries have not been widely accessible to northern communities (e.g. Inuit, Cree, Dene). Here, we developed Genotyping-in-Thousands by sequencing (GT-seq) panels for population assignment and mixed-stock analyses of three salmonids, to support fisheries stewardship or co-management in Northern Canada. Using low-coverage Whole Genome Sequencing data from 418 individuals across source populations in Cambridge Bay (Nunavut), Great Slave Lake (Northwest Territories), James Bay (Québec) and Mistassini Lake (Québec), we developed a bioinformatic SNP filtering workflow to select informative SNP markers from genotype likelihoods. These markers were then used to design GT-seq panels, thus enabling high-throughput genotyping for these species. The three GT-seq panels yielded an average of 413 autosomal loci and were validated using 525 individuals with an average assignment accuracy of 83%. Thus, these GT-seq panels are powerful tools for assessing population structure and quantifying the relative contributions of populations/stocks in mixed-stock fisheries across multiple regions. Interweaving genomic data derived from these tools with Traditional Ecological Knowledge will ensure the sustainable harvest of three culturally important salmonids in Indigenous communities, contributing to food security programmes and the economy in Northern Canada.

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来源期刊
Molecular Ecology Resources
Molecular Ecology Resources 生物-进化生物学
CiteScore
15.60
自引率
5.20%
发文量
170
审稿时长
3 months
期刊介绍: Molecular Ecology Resources promotes the creation of comprehensive resources for the scientific community, encompassing computer programs, statistical and molecular advancements, and a diverse array of molecular tools. Serving as a conduit for disseminating these resources, the journal targets a broad audience of researchers in the fields of evolution, ecology, and conservation. Articles in Molecular Ecology Resources are crafted to support investigations tackling significant questions within these disciplines. In addition to original resource articles, Molecular Ecology Resources features Reviews, Opinions, and Comments relevant to the field. The journal also periodically releases Special Issues focusing on resource development within specific areas.
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