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A DNA Barcode Library for Korean Chironomidae (Insecta: Diptera) and Indexes for Defining Barcode Gap

机译:韩国Chi科(昆虫纲:双翅目)的DNA条形码库和定义条形码缺口的索引

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摘要

Non-biting midges (Diptera: Chironomidae) are a diverse population that commonly causes respiratory allergies in humans. Chironomid larvae can be used to indicate freshwater pollution, but accurate identification on the basis of morphological characteristics is difficult. In this study, we constructed a mitochondrial cytochrome c oxidase subunit I (COI)-based DNA barcode library for Korean chironomids. This library consists of 211 specimens from 49 species, including adults and unidentified larvae. The interspecies and intraspecies COI sequence variations were analyzed. Sophisticated indexes were developed in order to properly evaluate indistinct barcode gaps that are created by insufficient sampling on both the interspecies and intraspecies levels and by variable mutation rates across taxa. In a variety of insect datasets, these indexes were useful for re-evaluating large barcode datasets and for defining COI barcode gaps. The COI-based DNA barcode library will provide a rapid and reliable tool for the molecular identification of Korean chironomid species. Furthermore, this reverse-taxonomic approach will be improved by the continuous addition of other speceis’ sequences to the library.
机译:无咬mid(Diptera:Chironomidae)是一种多样化的种群,通常会导致人类呼吸道过敏。 Chironomid幼虫可用于指示淡水污染,但很难根据形态特征进行准确鉴定。在这项研究中,我们构建了韩国线虫的基于线粒体细胞色素C氧化酶亚基(COI)的DNA条码文库。该文库由来自49个物种的211个标本组成,包括成年幼虫和不明幼虫。分析了种间和种内COI序列变异。开发了复杂的索引,以便正确评估因种间和种内水平的采样不足以及整个分类单元的可变突变率而产生的模糊条形码间隙。在各种昆虫数据集中,这些索引可用于重新评估大型条形码数据集和定义COI条形码间隙。基于COI的DNA条码文库将提供一种快速可靠的工具,用于对韩国拟南芥物种进行分子鉴定。此外,通过向库中连续添加其他特定序列,将改进这种反向分类方法。

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