基于环境DNA-宏条形码技术的底栖动物监测及水质评价研究进展  

Advances in the macrozoobenthos biodiversity monitoring and ecosystem assessment using environmental DNA metabarcoding

作　　者：王萌 金小伟[2] 林晓龙[3] 杜丽娜[4] 崔永德[5] 吴小平[6] 孙红英[7] 谢志才[5] 王新华[3] 王备新[1] WANG Meng;JIN Xiaowei;LIN Xiaolong;DU Lina;CUI Yongde;WU Xiaoping;SUN Hongying;XIE Zhicai;WANG Xinhua;WANG Beixin(College of Plant Protection,Nanjing Agricultural University,Nanjing 210095,China;China National Environmental Monitoring Center,Beijing 100012,China;College of Life Science,Nankai University,Tianjin 300071,China;Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection,Guangxi Normal University,Guilin 541006,China;State Key Laboratory of Freshwater Ecology and Biotechnology,Institute of Hydrobiology,Chinese Academy of Sciences,Wuhan 430072,China;College of Life Sciences,Nanchang University,Nanchang 330031,China;College of Life Sciences,Nanjing Normal University,Nanjing 210023,China)

机构地区：[1]南京农业大学植物保护学院,南京210095 [2]中国环境监测总站,北京100012 [3]南开大学生命科学学院,天津300071 [4]广西师范大学珍稀濒危动植物生态与环境保护教育部重点实验室,桂林541006 [5]中国科学院水生生物研究所淡水生态与生物技术国家重点实验室,武汉430072 [6]南昌大学生命科学学院,南昌330031 [7]南京师范大学生命科学学院,南京210023

出　　处：《生态学报》2021年第18期7440-7453,共14页Acta Ecologica Sinica

基　　金：国家自然科学基金项目(41771255);江苏省科技项目(BE2018681)。

摘　　要：底栖动物是淡水生态系统中物种多样性最高的类群,也是应用最广泛的水质监测指示生物之一。传统的底栖动物监测以形态学为基础,耗时费力,无法满足流域尺度大规模监测的需求。环境DNA-宏条形码技术是一种新兴的生物监测方法,其与传统方法相比优势在于采样方法简单、低成本、高灵敏度,不受生物样本和环境状况的影响,不依赖分类专家和鉴定资料,能够快速准确地对多个类群进行大规模、高通量的物种鉴定。然而,在实际应用中该方法的效果受诸多因素的影响,不同的方法、流程往往会产生差异较大的结果。鉴于此,着重分析总结了应用环境DNA-宏条形码技术监测底栖动物的关键影响因素,包括样品采集与处理流程、分子标记选择、引物设计、PCR偏好性、参考数据库的完整性及相应的优化。并基于此探讨了提高环境DNA宏条形码技术在底栖动物监测效率和准确率的途径,以期为底栖动物环境DNA-宏条形码监测方案的制定提供可靠的参考。最后对该技术在底栖动物监测和水质评价中的最新发展方向进行了展望。Macrozoobenthos are the most diversified organisms in freshwater ecosystem,playing a vital role in maintaining the structural and functional integrity of freshwater ecosystem.They are one of the most significant bioindicators that have been widely used in water quality monitoring and assessment.Nowadays,anthropogenic disturbance,pollution and global warming lead to a remarkable decline of the macrozoobenthos biodiversity.Therefore,how to provide substantial data for macrozoobenthos biodiversity monitoring rapidly,accurately,and reliably has become a major issue in water environment management.However,the traditional morphology-based biomonitoring survey method can hardly fulfill current biomonitoring requirements due to being costly,time consuming,and labor intensive.Moreover,such method is highly dependent on experienced taxonomists and often results in low precision and unverifiable taxonomic data.Environmental DNA metabarcoding(eDNA metabarcoding),a newly emerged approach,is considered as a promising survey tool for aquatic biodiversity monitoring.Compared with traditional biomonitoring survey methods,eDNA metabarcoding remarkably outperforms morphology-based method by its low cost,straightforward workflow,and high sensitivity in species detection of macrozoobenthos.Particularly,it circumvents the taxonomy literature and expertise,providing rapid,accurate,and highthroughput identification simultaneously to a large variety of taxa regardless of the organism conditions and environmental disturbances,thus permitting the easy access of large scale biomonitoring programs for freshwater ecosystem.Currently,the application of eDNA metabarcoding in macrozoobenthos biodiversity monitoring is largely affected by several technical factors,such as the sampling protocols,primer selection,and the completeness of reference database.Particularly,different methods and procedures often lead to contrasting results.Hence much attention is drawn to the field workflow and laboratory methodologies to be standardized to allow results

关 键 词：宏条形码 大型底栖无脊椎动物 生物多样性 条形码数据库 淡水生态系统 

分 类 号：Q958.8[生物学—动物学]