Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), School of Life Sciences, Southwest University, Chongqing, 400715, China.
Faculty of Life Sciences, Fergana State University, Fergana, Uzbekistan.
Sci Rep. 2021 Aug 19;11(1):16894. doi: 10.1038/s41598-021-96487-1.
Uzbekistan is one of two doubly landlocked countries in the world, where all rivers are endorheic basins. Although fish diversity is relatively poor in Uzbekistan, the fish fauna of the region has not yet been fully studied. The aim of this study was to establish a reliable barcoding reference database for fish in Uzbekistan. A total of 666 specimens, belonging to 59 species within 39 genera, 17 families, and 9 orders, were subjected to polymerase chain reaction amplification in the barcode region and sequenced. The length of the 666 barcodes was 682 bp. The average K2P distances within species, genera, and families were 0.22%, 6.33%, and 16.46%, respectively. The average interspecific distance was approximately 28.8 times higher than the mean intraspecific distance. The Barcode Index Number (BIN) discordance report showed that 666 specimens represented 55 BINs, of which five were singletons, 45 were taxonomically concordant, and five were taxonomically discordant. The barcode gap analysis demonstrated that 89.3% of the fish species examined could be discriminated by DNA barcoding. These results provide new insights into fish diversity in the inland waters of Uzbekistan and can provide a basis for the development of further studies on fish fauna.
乌兹别克斯坦是世界上仅有的两个双重内陆国之一，其境内所有河流均为内流流域。尽管乌兹别克斯坦的鱼类多样性相对较差，但该地区的鱼类动物群尚未得到充分研究。本研究旨在建立乌兹别克斯坦鱼类可靠的条形码参考数据库。共对 666 个标本进行了聚合酶链式反应（PCR）扩增和条形码区域测序，这些标本隶属于 39 属 59 种、17 科和 9 目。666 条条形码的长度为 682bp。种内、属内和科内的平均 K2P 距离分别为 0.22%、6.33%和 16.46%。种间平均距离约为种内平均距离的 28.8 倍。条形码索引编号（BIN）不匹配报告显示，666 个标本代表 55 个 BIN，其中 5 个为单型，45 个为分类学一致，5 个为分类学不一致。条形码间隙分析表明，89.3%的检查鱼类物种可通过 DNA 条形码区分。这些结果为乌兹别克斯坦内陆水域的鱼类多样性提供了新的见解，并可为进一步研究鱼类动物群提供基础。
