MOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China.
State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Mar Pollut Bull. 2023 Sep;194(Pt A):115430. doi: 10.1016/j.marpolbul.2023.115430. Epub 2023 Aug 28.
Marine and freshwater biodiversity is under threat from both natural and manmade causes. Biological monitoring is currently a top priority for biodiversity protection. Given present limitations, traditional biological monitoring methods may not achieve the proposed monitoring aims. Environmental DNA metabarcoding technology reflects species information by capturing and extracting DNA from environmental samples, using molecular biology techniques to sequence and analyze the DNA, and comparing the obtained information with existing reference libraries to obtain species identification. However, its practical application has highlighted several limitations. This paper summarizes the main steps in the environmental application of eDNA metabarcoding technology in aquatic ecosystems, including the discovery of unknown species, the detection of invasive species, and evaluations of biodiversity. At present, with the rapid development of big data and artificial intelligence, certain advanced technologies and devices can be combined with environmental DNA metabarcoding technology to promote further development of aquatic species monitoring and management.
海洋和淡水生物多样性受到自然和人为因素的威胁。生物监测是当前生物多样性保护的重中之重。鉴于目前的局限性,传统的生物监测方法可能无法实现拟议的监测目标。环境 DNA 宏条形码技术通过从环境样本中捕获和提取 DNA,利用分子生物学技术对 DNA 进行测序和分析,并将获得的信息与现有参考文库进行比较,从而反映物种信息,以获得物种鉴定。然而,其实际应用凸显了一些局限性。本文总结了环境 DNA 宏条形码技术在水生生态系统中的主要应用步骤,包括未知物种的发现、入侵物种的检测和生物多样性评估。目前,随着大数据和人工智能的快速发展,可以将某些先进技术和设备与环境 DNA 宏条形码技术相结合,以促进水生物种监测和管理的进一步发展。