DECOD, L'Institut Agro, IFREMER, INRAE, 56100, Lorient, France.
Center of Ecology and Conservation Sciences, UMR 7204 MNHN-SU-CNRS, 57 Rue Cuvier, CP135, Paris, 75005, France.
Mar Environ Res. 2024 Sep;200:106667. doi: 10.1016/j.marenvres.2024.106667. Epub 2024 Aug 5.
Non-extractive techniques such as video analysis are increasingly used by scientists to study marine communities instead of extractive methods such as trawling. Currently, environmental DNA (eDNA) analysis is seen as a revolutionary tool to study taxonomic diversity. We aimed to determine which method is the most appropriate to describe fish and commercial invertebrate diversity comparing bottom trawl hauls, video transects and seawater eDNA. Our results reveal that video detected the lowest number of taxa and trawling the highest. eDNA analysis is powerful to describe marine bony fish communities, but some taxa of importance for the ecosystem such as elasmobranchs, crustaceans or molluscs are poorly detected. This may be due to several factors such as marker specificity, incomplete reference gene databases or low DNA release in the environment. For now, the various methods provide different information and none is exhaustive enough to be used alone for biodiversity characterisation.
非抽取技术,如视频分析,越来越多地被科学家用于研究海洋生物群落,而不是抽取方法,如拖网。目前,环境 DNA(eDNA)分析被视为研究分类多样性的革命性工具。我们的目的是确定哪种方法最适合描述鱼类和商业无脊椎动物的多样性,比较底拖网捕捞、视频横切和海水 eDNA。我们的结果表明,视频检测到的分类群数量最少,拖网捕捞到的分类群数量最多。eDNA 分析对于描述海洋硬骨鱼类群落非常有效,但一些对生态系统很重要的类群,如软骨鱼、甲壳类动物或软体动物,检测效果较差。这可能是由于多种因素造成的,如标记物的特异性、不完全的参考基因数据库或环境中 DNA 释放量低。目前,各种方法提供的信息不同,没有一种方法足够全面,不能单独用于生物多样性特征描述。