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Taxonomy assignment approach determines the efficiency of identification of OTUs in marine nematodes

机译:分类法分配方法确定海洋线虫中OTU的识别效率

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Precision and reliability of barcode-based biodiversity assessment can be affected at several steps during acquisition and analysis of data. Identification of operational taxonomic units (OTUs) is one of the crucial steps in the process and can be accomplished using several different approaches, namely, alignment-based, probabilistic, tree-based and phylogeny-based. The number of identified sequences in the reference databases affects the precision of identification. This paper compares the identification of marine nematode OTUs using alignment-based, tree-based and phylogeny-based approaches. Because the nematode reference dataset is limited in its taxonomic scope, OTUs can only be assigned to higher taxonomic categories, families. The phylogeny-based approach using the evolutionary placement algorithm provided the largest number of positively assigned OTUs and was least affected by erroneous sequences and limitations of reference data, compared to alignment-based and tree-based approaches.
机译:基于条形码的生物多样性评估的准确性和可靠性可能会在数据采集和分析过程中的多个步骤中受到影响。识别操作分类单位(OTU)是该过程中的关键步骤之一,可以使用几种不同的方法来完成,即基于比对,概率,基于树和基于系统发育的方法。参考数据库中已识别序列的数量会影响识别的准确性。本文比较了基于对准,基于树和基于系统发育的方法对海洋线虫OTU的鉴定。由于线虫参考数据集的分类范围有限,因此OTU只能分配给较高的分类类别,科。与基于比对和基于树的方法相比,使用进化放置算法的基于系统发生的方法提供了数量最多的正分配OTU,并且受错误序列和参考数据限制的影响最小。

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