Canadian Journal of Fisheries and Aquatic Sciences, Ahead of Print.
When first introduced, invasive species typically evade detection; DNA barcoding coupled with high-throughput sequencing (HTS) may be more sensitive and accurate than morphology-based taxonomy and thereby improve invasive (or rare) species detection. We quantified the relative error of species detection between morphology-based and HTS-based taxonomic identification of ichthyoplankton collections from the Port of Duluth, Minnesota, an aquatic non-native species introduction “hot-spot” in the Laurentian Great Lakes. We found HTS-based taxonomy identified 28 species and morphology-based taxonomy identified 30 species, of which 27 were common to both. Among samples, 76% of family-level taxonomic assignments agreed; however, only 42% of species assignments agreed. Most errors were attributed to morphology-based taxonomy, whereas HTS-based taxonomy error was low. For this study system, for most non-native fishes, the detection probability by randomized survey for larvae was similar to that by a survey that is optimized for non-native species early detection of juveniles and adults. We conclude that classifying taxonomic errors by comparing HTS results against morphology-based taxonomy is an important step toward incorporating HTS-based taxonomy into biodiversity surveys.

中文翻译：

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使用基于形态学的分类学与高通量测序对入侵物种早期检测的幼鱼检测比较

加拿大渔业和水生科学杂志，印刷前。
首次引入时，入侵物种通常会逃避检测；DNA 条形码与高通量测序 (HTS) 相结合可能比基于形态学的分类学更敏感和准确，从而改善侵入性（或稀有）物种的检测。我们量化了来自明尼苏达州德卢斯港的浮游鱼类集合的基于形态学和基于 HTS 的分类学鉴定之间物种检测的相对误差，该港是劳伦森五大湖的水生非本地物种引入“热点”。我们发现基于 HTS 的分类学确定了 28 个物种，基于形态学的分类学确定了 30 个物种，其中 27 个是两者共有的。在样本中，76% 的科级分类分配同意；然而，只有 42% 的物种分配同意。大多数错误归因于基于形态的分类学，而基于 HTS 的分类错误很低。对于该研究系统，对于大多数非本地鱼类，幼虫随机调查的检测概率与针对非本地物种早期检测幼鱼和成鱼进行优化的调查相似。我们得出结论，通过将 HTS 结果与基于形态的分类法进行比较来分类分类错误是将基于 HTS 的分类法纳入生物多样性调查的重要一步。