Institute of Biology, University of Graz, Graz, Austria.
Universalmuseum Joanneum, Studienzentrum Naturkunde, Graz, Austria.
PLoS One. 2022 Jun 9;17(6):e0268694. doi: 10.1371/journal.pone.0268694. eCollection 2022.
Austria is inhabited by more than 80 species of native and non-native freshwater fishes. Despite considerable knowledge about Austrian fish species, the latest Red List of threatened species dates back 15 years and a systematic genetic inventory of Austria's fish species does not exist. To fulfill this deficit, we employed DNA barcoding to generate an up-to-date and comprehensive genetic reference database for Austrian fish species. In total, 639 newly generated cytochrome c oxidase subunit 1 (COI) sequences were added to the 377 existing records from the BOLD data base, to compile a near complete reference dataset. Standard sequence similarity analyses resulted in 83 distinct clusters almost perfectly reflecting the expected number of species in Austria. Mean intraspecific distances of 0.22% were significantly lower than distances to closest relatives, resulting in a pronounced barcoding gap and unique Barcode Index Numbers (BINs) for most of the species. Four cases of BIN sharing were detected, pointing to hybridization and/or recent divergence, whereas in Phoxinus spp., Gobio spp. and Barbatula barbatula intraspecific splits, multiple BINs and consequently cryptic diversity were observed. The overall high identification success and clear genetic separation of most of the species confirms the applicability and accuracy of genetic methods for bio-surveillance. Furthermore, the new DNA barcoding data pinpoints cases of taxonomic uncertainty, which need to be addressed in further detail, to more precisely assort genetic lineages and their local distribution ranges in a new National Red-List.
奥地利有 80 多种本地和非本地淡水鱼类。尽管人们对奥地利鱼类物种有相当多的了解,但最新的濒危物种红色名录可以追溯到 15 年前,而且奥地利鱼类物种也没有系统的遗传目录。为了弥补这一不足,我们采用 DNA 条形码技术,为奥地利鱼类物种生成了一个最新的、全面的遗传参考数据库。总共为 639 个新生成的细胞色素 c 氧化酶亚基 1(COI)序列添加到 BOLD 数据库中现有的 377 个记录中,以编制一个近乎完整的参考数据集。标准序列相似性分析产生了 83 个不同的聚类,几乎完全反映了奥地利预期的物种数量。种内平均距离为 0.22%,明显低于与最近亲缘的距离,导致明显的条形码间隙和大多数物种独特的条形码索引编号(BINs)。检测到 4 个 BIN 共享案例,表明存在杂交和/或近期分化,而在 Phoxinus spp.、Gobio spp.和 Barbatula barbatula 中,观察到种内分裂、多个 BINs 以及因此产生的隐多样性。大多数物种的高识别成功率和明显的遗传分离证实了遗传方法在生物监测中的适用性和准确性。此外,新的 DNA 条形码数据还指出了分类学不确定性的案例,需要进一步详细研究,以更准确地确定遗传谱系及其在新的国家红色名录中的本地分布范围。