Suqian Institute of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Suqian, Jiangsu, 223800, China.
College of Life Sciences, Capital Normal University, Beijing, 100048, China.
Sci Rep. 2018 Sep 24;8(1):14256. doi: 10.1038/s41598-018-32123-9.
DNA barcoding, based on a fragment of cytochrome c oxidase I (COI) mtDNA, is as an effective molecular tool for identification, discovery, and biodiversity assessment for most animals. However, multiple gene markers coupled with more sophisticated analytical approaches may be necessary to clarify species boundaries in cases of cryptic diversity or morphological plasticity. Using 339 moths collected from mountains surrounding Beijing, China, we tested a pipeline consisting of two steps: (1) rapid morphospecies sorting and screening of the investigated fauna with standard COI barcoding approaches; (2) additional analyses with multiple molecular markers for those specimens whose morphospecies and COI barcode grouping were incongruent. In step 1, 124 morphospecies were delimited into 116 barcode units, with 90% of the conflicts being associated with specimens identified to the genus Hypena. In step 2, 55 individuals representing all 12 Hypena morphospecies were analysed using COI, COII, 28S, EF-1a, Wgl sequences or their combinations with the BPP (Bayesian Phylogenetics and Phylogeography) multigene species delimitation method. The multigene analyses supported the delimitation of 5 species, consistent with the COI analysis. We conclude that a two-step barcoding analysis pipeline is able to rapidly characterize insect biodiversity and help to elucidate species boundaries for taxonomic complexes without jeopardizing overall project efficiency by substantially increasing analytical costs.
DNA 条形码技术基于细胞色素 c 氧化酶 I(COI)mtDNA 的一个片段,是识别、发现和评估大多数动物生物多样性的有效分子工具。然而,在存在隐多样性或形态可塑性的情况下,可能需要结合多个基因标记和更复杂的分析方法来澄清物种界限。我们使用从中国北京周边山区采集的 339 只飞蛾进行了测试,该测试采用了两步分析流程:(1)通过快速形态分类和标准 COI 条形码方法对调查动物群进行筛选;(2)对于形态种和 COI 条码分组不一致的那些标本,使用多个分子标记进行额外分析。在步骤 1 中,将 124 个形态种分为 116 个条码单元,其中 90%的冲突与被鉴定为 Hypena 属的标本有关。在步骤 2 中,使用 COI、COII、28S、EF-1a、Wgl 序列或它们的组合以及 BPP(贝叶斯系统发育和系统地理学)多基因物种界定方法对代表所有 12 个 Hypena 形态种的 55 个个体进行了分析。多基因分析支持了 5 个物种的划分,与 COI 分析结果一致。我们得出结论,两步式条形码分析流程能够快速描述昆虫生物多样性,并有助于阐明分类群的物种界限,同时不会通过大幅增加分析成本而危及整体项目效率。