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Biodiversity inventory of the grey mullets (Actinopterygii: Mugilidae) of the Indo‐Australian Archipelago through the iterative use of DNA‐based species delimitation and specimen assignment methods

机译:通过反复使用基于DNA的物种划界和标本分配方法对印澳群岛灰鱼(Actinopterygii:Mugilidae)进行生物多样性调查

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摘要

DNA barcoding opens new perspectives on the way we document biodiversity. Initially proposed to circumvent the limits of morphological characters to assign unknown individuals to known species, DNA barcoding has been used in a wide array of studies where collecting species identity constitutes a crucial step. The assignment of unknowns to knowns assumes that species are already well identified and delineated, making the assignment performed reliable. Here, we used DNA‐based species delimitation and specimen assignment methods iteratively to tackle the inventory of the Indo‐Australian Archipelago grey mullets, a notorious case of taxonomic complexity that requires DNA‐based identification methods considering that traditional morphological identifications are usually not repeatable and sequence mislabeling is common in international sequence repositories. We first revisited a DNA barcode reference library available at the global scale for Mugilidae through different DNA‐based species delimitation methods to produce a robust consensus scheme of species delineation. We then used this curated library to assign unknown specimens collected throughout the Indo‐Australian Archipelago to known species. A second iteration of OTU delimitation and specimen assignment was then performed. We show the benefits of using species delimitation and specimen assignment methods iteratively to improve the accuracy of specimen identification and propose a workflow to do so.
机译:DNA条码为我们记录生物多样性的方式开辟了新的视角。最初提出是为了规避形态特征的限制,以便将未知个体分配给已知物种,DNA条码已用于各种各样的研究中,其中收集物种身份构成了关键的一步。从未知物到已知物的分配假定已经对物种进行了很好的识别和描绘,从而使分配工作可靠。在这里,我们反复使用基于DNA的物种定界和标本分配方法来解决印度洋-澳大利亚群岛鱼的清单,这是一个臭名昭著的分类学复杂案例,需要考虑基于DNA的鉴定方法,因为传统形态学鉴定通常不可重复且序列错误标签在国际序列库中很常见。我们首先通过不同的基于DNA的物种定界方法重新审视了全球可用于Mugilidae的DNA条码参考文库,以产生可靠的物种定型共识方案。然后,我们使用这个精选的库将整个印澳群岛收集的未知标本分配给已知物种。然后执行OTU定界和标本分配的第二次迭代。我们展示了迭代使用物种定界和标本分配方法来提高标本识别精度的好处,并提出了实现此目的的工作流程。

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