First DNA barcode reference library for water mites of the ancient Lake Ohrid reveals high diversity and lineage endemism

IF 2.4 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Klaudyna Królikowska , Andrzej Zawal , Michał Grabowski , Anna Wysocka , Angelika Janiszewska , Sasho Trajanovski , Lidia Sworobowicz , Aleksandra Bańkowska , Grzegorz Michoński , Konstantin Zdraveski , Grzegorz Tończyk , Stojmir Stojanovski , Tomasz Mamos
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引用次数: 0

Abstract

Lake Ohrid is the oldest lake in Europe and has been designated as a UNESCO World Heritage Site for endemism of its biota. Its biodiversity is still not fully known and some taxa are particularly challenging to identify. DNA barcoding became a common method for the identification of such taxa and has become a crucial tool in biomonitoring and biodiversity studies. Accurate species identification through barcoding relies on curated reference libraries. Water mites are a species-rich group of ecologically important and widely distributed aquatic invertebrates for which little DNA barcoding data is available. Our study aims to develop the first reference library of COI barcodes for water mites from the ancient Lake Ohrid and surrounding springs, followed by analysis of their molecular diversity. Such libraries are well-developed for many waterbodies in Europe (e.g. Alpine Lakes), but are heavily underrepresented for the Mediterranean Region and completely absent for Lake Ohrid. We provide 327 COI barcodes clustered into 34 BINs (molecular equivalents of species) of which 6 are endemic. We identified 33 species, of which 20 are new for the Ohrid basin. We also identified several cases of intraspecific diversity suggesting morphologically cryptic species or previous misidentifications, suggesting that DNA barcoding is invaluable in the taxonomic identification of water mites. We discovered a relatively low turnover of species with neighbouring Lake Skadar, which may be a result of differences in their physical and geographical characteristics. Our study represents a major advance for the future taxonomic, phylogeographic studies and biomonitoring using water mites as model taxon.

首个古代奥赫里德湖水螨 DNA 条形码参考文献库揭示了高度多样性和世系特有性
奥赫里德湖是欧洲最古老的湖泊,因其生物群的特有性而被联合国教科文组织指定为世界遗产。人们对其生物多样性的了解尚不全面,一些类群的鉴定尤其具有挑战性。DNA 条形码已成为鉴定此类类群的常用方法,并已成为生物监测和生物多样性研究的重要工具。通过条形码进行准确的物种鉴定依赖于经过整理的参考文献库。水螨是一类物种丰富、具有重要生态意义且分布广泛的水生无脊椎动物,但其 DNA 条形码数据却很少。我们的研究旨在为古老的奥赫里德湖及周边泉水中的水螨建立第一个 COI 条形码参考文献库,并对其分子多样性进行分析。欧洲的许多水体(如阿尔卑斯湖泊)都有完善的此类库,但地中海地区的此类库严重不足,而奥赫里德湖则完全没有。我们提供了 327 个 COI 条形码,并将其聚类为 34 个 BIN(物种的分子等价物),其中 6 个为地方性物种。我们确定了 33 个物种,其中 20 个是奥赫里德盆地的新物种。我们还发现了一些种内多样性的情况,表明存在形态学上的隐蔽物种或以前的错误鉴定,这表明 DNA 条形码在水螨的分类鉴定中非常有价值。我们发现,与邻近的斯卡达尔湖相比,水螨的物种更替率相对较低,这可能是物理和地理特征不同的结果。我们的研究为今后以水螨为模式类群进行分类学、系统地理学研究和生物监测提供了重要依据。
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来源期刊
Journal of Great Lakes Research
Journal of Great Lakes Research 生物-海洋与淡水生物学
CiteScore
5.10
自引率
13.60%
发文量
178
审稿时长
6 months
期刊介绍: Published six times per year, the Journal of Great Lakes Research is multidisciplinary in its coverage, publishing manuscripts on a wide range of theoretical and applied topics in the natural science fields of biology, chemistry, physics, geology, as well as social sciences of the large lakes of the world and their watersheds. Large lakes generally are considered as those lakes which have a mean surface area of >500 km2 (see Herdendorf, C.E. 1982. Large lakes of the world. J. Great Lakes Res. 8:379-412, for examples), although smaller lakes may be considered, especially if they are very deep. We also welcome contributions on saline lakes and research on estuarine waters where the results have application to large lakes.
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