Lin Xiao-Long, Jiang Kun, Liu Wen-Bin, Liu Wei, Bu Wen-Jun, Wang Xin-Hua, Mo Lidong
College of Life Sciences Nankai University Tianjin China.
Tianjin Key Laboratory of Conservation and Utilization of Animal Diversity Tianjin Normal University Tianjin China.
Ecol Evol. 2021 Aug 4;11(17):12161-12172. doi: 10.1002/ece3.7979. eCollection 2021 Sep.
Environmental DNA metabarcoding is becoming a predominant tool in biodiversity assessment, as this time- and cost-efficient tactics have the ability to increase monitoring accuracy. As a worldwide distributed genus, Brundin, 1956 still does not possess a complete and comprehensive global DNA barcode reference library for biodiversity monitoring. In the present study, we compiled a cytochrome oxidase subunit 1 (COI) DNA barcode library of with 434 barcodes around the world, including 121 newly generated DNA barcodes of 32 morphospecies and 313 public barcodes. Automatic Barcode Gap Discovery (ABGD) was applied on the 434 COI barcodes to provide a comparison between the operational taxonomic units (OTU) number calculated from the Barcode Index Number (BIN) with the "Barcode Gap Analysis" and neighbor-joining (NJ) tree analysis. Consequently, these 434 COI barcodes were clustered into 78 BINs, including 42 new BINs. ABGD yielded 51 OTUs with a prior intraspecific divergence of = 7.17%, while NJ tree revealed 52 well-separated clades. Conservatively, 14 unknown species and one potential synonym were uncovered with reference to COI DNA barcodes. Besides, based on our ecological analysis, we discovered that annual mean temperature and annual precipitation could be considered as key factors associated with distribution of certain members from this genus. Our global DNA barcode reference library of provides one fundamental database for accurate species delimitation in Chironomidae taxonomy and facilitates the biodiversity monitoring of aquatic biota.
环境DNA宏条形码技术正在成为生物多样性评估中的一种主要工具,因为这种节省时间和成本的策略能够提高监测准确性。作为一个全球分布的属,1956年的布伦丁属(Brundin)仍然没有一个完整且全面的用于生物多样性监测的全球DNA条形码参考文库。在本研究中,我们编制了一个包含全球434个条形码的细胞色素氧化酶亚基1(COI)DNA条形码文库,其中包括32个形态种的121个新生成的DNA条形码和313个公共条形码。对这434个COI条形码应用自动条形码间隙发现(ABGD)方法,以比较通过条形码索引号(BIN)计算的操作分类单元(OTU)数量与“条形码间隙分析”和邻接(NJ)树分析的结果。结果,这434个COI条形码被聚类为78个BIN,包括42个新的BIN。ABGD产生了51个OTU,种内先验分歧为 = 7.17%,而NJ树显示有52个明显分开的分支。保守估计,参考COI DNA条形码发现了14个未知物种和一个潜在的同物异名。此外,基于我们的生态分析,我们发现年平均温度和年降水量可被视为与该属某些成员分布相关的关键因素。我们编制的全球DNA条形码参考文库为摇蚊科分类学中的准确物种界定提供了一个基础数据库,并促进了水生生物群的生物多样性监测。