Ismailaj Mariola, Zangaro Francesco, Specchia Valeria, Sangiorgio Franca, Marcucci Francesca, Kiçaj Hajdar, Basset Alberto, Pinna Maurizio
Department of Biological and Environmental Sciences and Technologies, DiSTeBA, University of Salento, Via Monteroni 165, 73100 Lecce, Italy.
Department of Biology, University of Rome Tor Vergata, Via Ricerca Scientifica 1, 00133 Rome, Italy.
Biology (Basel). 2024 Nov 19;13(11):951. doi: 10.3390/biology13110951.
Aquatic biodiversity includes a variety of unique species, their habitats, and their interactions with each other. Albania has a large hydrographic network including rivers, lakes, wetlands and coastal marine areas, contributing to a high level of aquatic biodiversity. Currently, evaluating aquatic biodiversity relies on morphological species identification methods, but DNA-based taxonomic identification could improve the monitoring and assessment of aquatic ecosystems. This study aims to evaluate the coverage of COI DNA barcodes in the reference libraries for the known aquatic animal species present in the coastal lagoons of Albania. In this study, the six most studied coastal lagoons of Albania were selected. Species data were gathered from the scientific literature and publicly available sites and studies. The collected species lists were taxonomically standardised using global public taxonomic databases like WORMS. The standardised lists were used to analyse the barcode gap of COI based on two public DNA barcode libraries: Barcode of Life Data Systems (BOLD) and NCBI GenBank. The results show that the COI DNA barcode gap in the coastal lagoons of Albania ranges from 7% (Lagoon of Patok) to 33% (Karavasta Lagoon). Fishes and Amphibia represent the groups with the lowest barcode gap (8% each), while Annelida shows the highest (47%). In conclusion, the COI gene marker for DNA-based biodiversity assessments is reliable for the coastal lagoons of Albania.
水生生物多样性包括各种独特的物种、它们的栖息地以及它们之间的相互作用。阿尔巴尼亚拥有庞大的水文网络,包括河流、湖泊、湿地和沿海海洋区域,这促成了高水平的水生生物多样性。目前,评估水生生物多样性依赖于形态学物种鉴定方法,但基于DNA的分类鉴定可以改善对水生生态系统的监测和评估。本研究旨在评估阿尔巴尼亚沿海泻湖已知水生动物物种的参考文库中细胞色素氧化酶亚基I(COI)DNA条形码的覆盖情况。在本研究中,选取了阿尔巴尼亚研究最多的六个沿海泻湖。物种数据从科学文献以及公开可用的网站和研究中收集。使用诸如世界海洋物种登记册(WORMS)等全球公共分类数据库对收集到的物种列表进行分类标准化。基于两个公共DNA条形码文库:生命条形码数据系统(BOLD)和美国国立生物技术信息中心基因库(NCBI GenBank),使用标准化列表来分析COI的条形码间隙。结果表明,阿尔巴尼亚沿海泻湖的COI DNA条形码间隙范围为7%(帕托克泻湖)至33%(卡拉瓦斯塔泻湖)。鱼类和两栖动物类群的条形码间隙最低(均为8%),而环节动物门的条形码间隙最高(47%)。总之,基于DNA的生物多样性评估的COI基因标记对阿尔巴尼亚沿海泻湖是可靠的。