Delineating population structure helps fishery managers to maintain a diverse “portfolio” of local spawning populations (stocks), as well as facilitate stock‐specific management. In Lake Erie, commercial and recreational fisheries for Walleye Sander vitreus exploit numerous local spawning populations, which cannot be easily differentiated using traditional genetic data (e.g., microsatellites). Here, we used genomic information (12,264 polymorphic loci) generated using restriction site‐associated DNA sequencing to investigate stock structure in Lake Erie Walleye. We found low genetic divergence (genetic differentiation index F_ST = 0.0006–0.0019) among the four Lake Erie western basin stocks examined, which resulted in low classification accuracies for individual samples (40–60%). However, more structure existed between western and eastern Lake Erie basin stocks (F_ST = 0.0042–0.0064), resulting in greater than 95% classification accuracy of samples to a lake basin. Thus, our success in using genomics to identify stock structure varied with spatial scale. Based on our results, we offer suggestions to improve the efficacy of this new genetic tool for refining stock structure and eventually determining relative stock contributions in Lake Erie Walleye and other Great Lakes populations.

中文翻译：

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RAD-Seq完善了伊利·沃利耶湖的遗传结构先前估计

划定种群结构有助于渔业管理者维持当地产卵种群（种群）的多样化“投资组合”，并促进特定种群的管理。在伊利湖，Walleye Sander vitreus的商业和休闲渔业利用了许多当地产卵种群，使用传统遗传数据（例如微卫星）不容易区分这些种群。在这里，我们使用通过限制性酶切位点相关的DNA测序产生的基因组信息（12,264个多态位点）来研究伊利湖眼的种群结构。我们发现较低的遗传差异（遗传分化指数F _ST = 0.0006–0.0019）在伊利湖西部流域的4个种群中，导致单个样本的分类准确性较低（40–60％）。但是，伊利湖东部和西部流域存量之间存在更多的结构（F _ST  = 0.0042–0.0064），导致湖盆样品的分类准确率超过95％。因此，我们在使用基因组学识别种群结构方面的成功随空间规模而变化。根据我们的结果，我们提供了一些建议，以提高这种新的遗传工具的效率，以改善种群结构并最终确定伊利沃利湖和其他五大湖种群的相对种群贡献。