Beemelmanns Anne, Bouchard Raphaël, Michaelides Sozos, Normandeau Eric, Jeon Hyung-Bae, Chamlian Badrouyk, Babin Charles, Hénault Philippe, Perrot Océane, Harris Les N, Zhu Xinhua, Fraser Dylan, Bernatchez Louis, Moore Jean-Sébastien
Institut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada.
Département de Biologie, Université Laval, Québec, Québec, Canada.
Mol Ecol Resour. 2025 Apr;25(3):e14040. doi: 10.1111/1755-0998.14040. Epub 2024 Nov 18.
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.
单核苷酸多态性(SNP)面板是评估鱼类遗传种群结构和扩散的有力工具,可加强对商业、休闲和自给性混合种群渔业的管理措施。北极红点鲑(Salvelinus alpinus)、溪红点鲑(Salvelinus fontinalis)和湖白鲑(Coregonus clupeaformis)是加拿大北部原住民社区中捕捞和消费最多的鱼类物种之一,对粮食安全、文化、传统和经济做出了重大贡献。然而,支持原住民渔业的遗传资源尚未被北部社区(如因纽特人、克里人、丹人)广泛获取。在此,我们开发了基于测序的数千样本基因分型(GT-seq)面板,用于三种鲑科鱼类的种群归属和混合种群分析,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个个体的低覆盖全基因组测序数据,我们开发了一种生物信息学SNP筛选工作流程,从基因型似然性中选择信息丰富的SNP标记。然后使用这些标记设计GT-seq面板,从而实现对这些物种的高通量基因分型。这三个GT-seq面板平均产生413个常染色体位点,并使用525个个体进行了验证,平均归属准确率为83%。因此,这些GT-seq面板是评估种群结构和量化多个地区混合种群渔业中种群/群体相对贡献的有力工具。将这些工具获得的基因组数据与传统生态知识相结合,将确保原住民社区可持续收获三种具有文化重要性的鲑科鱼类,为加拿大北部的粮食安全计划和经济做出贡献。