ZooPlantLab, Department of Biotechnology and Biosciences, University of Milano - Bicocca, Milan, Italy.
Area per l'Avifauna Migratrice, Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), Ozzano Emilia, Italy.
Mol Ecol Resour. 2021 Jan;21(1):183-200. doi: 10.1111/1755-0998.13235. Epub 2020 Aug 17.
The Odonata are considered among the most endangered freshwater faunal taxa. Their DNA-based monitoring relies on validated reference data sets that are often lacking or do not cover important biogeographical centres of diversification. This study presents the results of a DNA barcoding campaign on Odonata, based on the standard 658-bp 5' end region of the mitochondrial COI gene, involving the collection of 812 specimens (409 of which barcoded) from peninsular Italy and its main islands (328 localities), belonging to all the 88 species (31 Zygoptera and 57 Anisoptera) known from the country. Additional BOLD and GenBank data from Holarctic samples expanded the data set to 1,294 DNA barcodes. A multi-approach species delimitation analysis involving two distance (OT and ABGD) and four tree-based (PTP, MPTP, GMYC and bGMYC) methods was used to explore these data. Of the 88 investigated morphospecies, 75 (85%) unequivocally corresponded to distinct molecular operational units, whereas the remaining ones were classified as 'warnings' (i.e. showing a mismatch between morphospecies assignment and DNA-based species delimitation). These results are in contrast with other DNA barcoding studies on Odonata showing up to 95% of identification success. The species causing warnings were grouped into three categories depending on if they showed low, high or mixed genetic divergence patterns. The analysis of haplotype networks revealed unexpected intraspecific complexity at the Italian, Palearctic and Holarctic scale, possibly indicating the occurrence of cryptic species. Overall, this study provides new insights into the taxonomy of odonates and a valuable basis for future DNA and eDNA-based monitoring studies.
蜻蜓目被认为是最濒危的淡水动物类群之一。它们的基于 DNA 的监测依赖于经过验证的参考数据集,但这些数据集往往缺乏或不涵盖重要的生物地理多样化中心。本研究基于线粒体 COI 基因的 5'端标准 658bp 区域,介绍了蜻蜓目 DNA 条形码研究的结果,该研究涉及从意大利半岛及其主要岛屿(328 个地点)收集的 812 个标本(其中 409 个进行了条形码处理),包括该国已知的所有 88 种(31 种蜉蝣目和 57 种蜻蜓目)。来自全北极地区的额外 BOLD 和 GenBank 数据将数据集扩展到 1294 个 DNA 条形码。使用两种距离(OT 和 ABGD)和四种基于树的方法(PTP、MPTP、GMYC 和 bGMYC)进行了多方法物种界定分析,以探索这些数据。在所研究的 88 种形态种中,75 种(85%)明确对应于不同的分子操作单位,而其余种则被归类为“警告”(即形态种分配与基于 DNA 的物种界定不匹配)。这些结果与其他蜻蜓目 DNA 条形码研究形成对比,后者显示出高达 95%的鉴定成功率。产生警告的物种根据其遗传分化模式是低、高还是混合分为三类。单倍型网络分析揭示了意大利、古北界和全北极地区种内复杂程度出乎意料,可能表明存在隐种。总的来说,本研究为蜻蜓目的分类学提供了新的见解,并为未来的 DNA 和 eDNA 监测研究提供了有价值的基础。