Efficient species identification for Pacific salmon genetic monitoring programs

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY Evolutionary Applications Pub Date : 2024-03-19 DOI:10.1111/eva.13680
Zachary L. Robinson, Jeff Stephenson, Kim Vertacnik, Stuart Willis, Rebekah Horn, Jesse McCane, D. Katharine Coykendall, Shawn R. Narum
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Abstract

Genetic monitoring of Pacific salmon in the Columbia River basin provides crucial information to fisheries managers that is otherwise challenging to obtain using traditional methods. Monitoring programs such as genetic stock identification (GSI) and parentage-based tagging (PBT) involve genotyping tens of thousands of individuals annually. Although rare, these large sample collections inevitably include misidentified species, which exhibit low genotyping success on species-specific Genotyping-in-Thousands by sequencing (GT-seq) panels. For laboratories involved in large-scale genotyping efforts, diagnosing non-target species and reassigning them to the appropriate monitoring program can be costly and time-consuming. To address this problem, we identified 19 primer pairs that exhibit consistent cross-species amplification among salmonids and contain 51 species informative variants. These genetic markers reliably discriminate among 11 salmonid species and two subspecies of Cutthroat Trout and have been included in species-specific GT-seq panels for Chinook Salmon, Coho Salmon, Sockeye Salmon, and Rainbow Trout commonly used for Pacific salmon genetic monitoring. The majority of species-informative amplicons (16) were newly identified from the four existing GT-seq panels, thus demonstrating a low-cost approach to species identification when using targeted sequencing methods. A species-calling script was developed that is tailored for routine GT-seq genotyping pipelines and automates the identification of non-target species. Following extensive testing with empirical and simulated data, we demonstrated that the genetic markers and accompanying script accurately identified species and are robust to missing genotypic data and low-frequency, shared polymorphisms among species. Finally, we used these tools to identify Coho Salmon incidentally caught in the Columbia River Chinook Salmon sport fishery and used PBT to determine their hatchery of origin. These molecular and computing resources provide a valuable tool for Pacific salmon conservation in the Columbia River basin and demonstrate a cost-effective approach to species identification for genetic monitoring programs.

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太平洋鲑鱼基因监测计划的高效物种鉴定
对哥伦比亚河流域太平洋鲑鱼的基因监测为渔业管理者提供了重要信息,而使用传统方法很难获得这些信息。基因种群鉴定(GSI)和亲本标记(PBT)等监测项目每年需要对数以万计的个体进行基因分型。虽然这种情况很少见,但这些大型样本采集不可避免地会包括被错误识别的物种,在物种特异性千人基因分型测序(GT-seq)面板上的基因分型成功率很低。对于参与大规模基因分型工作的实验室来说,诊断非目标物种并将其重新分配到适当的监测项目中既费钱又费时。为了解决这个问题,我们确定了 19 对引物,它们在鲑鱼中表现出一致的跨物种扩增,并包含 51 个物种信息变体。这些遗传标记能可靠地区分 11 个鲑科鱼类物种和两个切喉鳟亚种,并已被纳入太平洋鲑科鱼类遗传监测常用的奇努克鲑、科霍鲑、红鲑和彩虹鳟的物种特异性 GT-seq 面板中。大多数具有物种信息的扩增子(16 个)都是从现有的四个 GT-seq 面板中新鉴定出来的,从而证明了使用靶向测序方法进行物种鉴定的低成本方法。我们开发了一个物种鉴定脚本,该脚本专为常规 GT-seq 基因分型管道定制,可自动识别非目标物种。经过对经验数据和模拟数据的广泛测试,我们证明了遗传标记和配套脚本能准确识别物种,并对缺失的基因型数据和物种间低频、共享的多态性具有鲁棒性。最后,我们利用这些工具识别了在哥伦比亚河大鳞大麻哈鱼运动渔业中意外捕获的库鲑,并利用 PBT 确定了它们的原产地孵化场。这些分子和计算资源为哥伦比亚河流域的太平洋鲑鱼保护提供了宝贵的工具,并为基因监测计划的物种鉴定展示了一种经济有效的方法。
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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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