Department of Ecology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovak Republic.
ZooLab, Plant Science and Biodiversity Centre, Slovak Academy of Sciences, Bratislava, Slovak Republic.
Mol Ecol Resour. 2024 Jul;24(5):e13954. doi: 10.1111/1755-0998.13954. Epub 2024 Mar 23.
Mayflies (Ephemeroptera) are among the crucial water and habitat quality bioindicators. However, despite their intensive long-term use in various studies, more reliable mayfly DNA barcode data have been produced in a negligible number of countries, and only ~40% of European species had been barcoded with less than 50% of families covered. Despite being carried out in a small area, our study presents the second-most species-rich DNA reference library of mayflies from Europe and the first comprehensive view from an important biodiversity hotspot such as the Western Carpathians. Within 1153 sequences, 76 morphologically determined species were recorded and added to the Barcode of Life Data System (BOLD) database. All obtained sequences were assigned to 97 BINs, 11 of which were unique and three represented species never barcoded before. Sequences of 16 species with high intraspecific variability were divided into 40 BINs, confirming the presence of cryptic lineages. Due to the low interspecific divergence and the non-existing barcoding gap, sequences of six species were assigned to three shared BINs. Delimitation analyses resulted in 79 and 107 putative species respectively. Bayesian and maximum-likelihood phylogenies confirmed the monophyly of almost all species and complexes of cryptic taxa and proved that DNA barcoding distinguishes almost all studied mayfly species. We have shown that it is still sufficient to thoroughly investigate the fauna of a small but geographically important area to enrich global databases greatly. In particular, the insights gained here transcend the local context and may have broader implications for advancing barcoding efforts.
蜉蝣目(Ephemeroptera)是重要的水和生境质量生物指标之一。然而,尽管它们在各种研究中长期被广泛使用,但只有少数几个国家产生了更可靠的蜉蝣 DNA 条形码数据,而且只有约 40%的欧洲物种被条形码覆盖,覆盖率不到 50%。尽管我们的研究是在一个小区域进行的,但它提供了欧洲蜉蝣目第二丰富的 DNA 参考文库,也是首次从西喀尔巴阡山脉等重要生物多样性热点地区进行全面观察。在 1153 个序列中,记录了 76 种形态确定的物种,并添加到生命条形码数据库(BOLD)中。所有获得的序列被分配到 97 个 BIN 中,其中 11 个是独特的,三个代表以前从未被条形码标记过的物种。16 个具有高度种内变异性的物种的序列被分为 40 个 BIN,证实了隐线系的存在。由于种间差异较小,不存在条形码缺口,因此将 6 个物种的序列分配到 3 个共享 BIN 中。界限分析分别产生了 79 个和 107 个可能的物种。贝叶斯和最大似然系统发育分析证实了几乎所有物种和隐生类群的单系性,并证明 DNA 条形码可以区分几乎所有研究的蜉蝣物种。我们表明,即使是彻底调查一个小但地理位置重要的地区的动物区系,也足以大大丰富全球数据库。特别是,这里获得的见解超越了地方背景,可能对推进条形码工作具有更广泛的意义。