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DNA宏条形码技术在海洋浮游动物多样性和生态学研究中的应用
引用本文:冯芸芝,孙栋,邵倩文,王春生.DNA宏条形码技术在海洋浮游动物多样性和生态学研究中的应用[J].生态学报,2022,42(21):8544-8554.
作者姓名:冯芸芝  孙栋  邵倩文  王春生
作者单位:上海交通大学海洋学院, 上海 200030;自然资源部第二海洋研究所, 自然资源部海洋生态系统动力学重点实验室, 杭州 310012;自然资源部第二海洋研究所, 自然资源部海洋生态系统动力学重点实验室, 杭州 310012;宁波海洋研究院, 宁波 315832;上海交通大学海洋学院, 上海 200030;自然资源部第二海洋研究所, 自然资源部海洋生态系统动力学重点实验室, 杭州 310012;南方海洋科学与工程广东省实验室(珠海), 珠海 519082
基金项目:国家自然科学基金面上项目(42076122)
摘    要:浮游动物是海洋生态系统的关键类群,其覆盖门类广泛,多样性高。传统形态鉴定技术需要检测人员具备专业的形态鉴定知识,且费时费力。宏条形码技术无需分离生物个体,而是提取拖网采集到的浮游动物混合样本的总DNA,或者水体中的环境DNA (eDNA),依托高通量测序平台测序,能够实现对大规模样本快速、准确、经济的分析,在海洋浮游动物生态学研究中得到越来越广泛的应用。分析了DNA宏条形码技术常用的核糖体和线粒体分子标记,在浮游动物多样性和数量研究中的可靠性和不足,并给出在海洋浮游动物群落监测,食物关系分析及生物入侵早期预警等研究中的应用。未来,开发多基因片段组合条形码,发展完备的参考数据库及实现准确的量化研究是DNA宏条形码技术发展的重要方向。

关 键 词:浮游动物  宏条形码  环境DNA  多样性  物种监测
收稿时间:2021/11/22 0:00:00
修稿时间:2022/4/26 0:00:00

Applications of DNA metabarcoding in biodiversity and ecology of marine zooplankton
FENG Yunzhi,SUN Dong,SHAO Qianwen,WANG Chunsheng.Applications of DNA metabarcoding in biodiversity and ecology of marine zooplankton[J].Acta Ecologica Sinica,2022,42(21):8544-8554.
Authors:FENG Yunzhi  SUN Dong  SHAO Qianwen  WANG Chunsheng
Institution:School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China;Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China;Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China;Ningbo Institute of Oceanography, Ningbo 315832, China; School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China;Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China;Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
Abstract:Zooplankton are key groups in marine ecosystems, which link primary producers and higher tropic levels. Their assemblages are substantially affected by environmental changes. The monitoring of large-scale and rapid changes in zooplankton biodiversity is of great importance to provide guidelines for marine fishery management and ecosystem protection. Zooplankton are widely distributed in the global ocean, with systematic complexity and high biodiversity. Therefore, the traditional morphology-based identification methods largely depend on sufficient taxonomic skills of experts, which costs more time, money, and expertise. Moreover, morphological identification provides a significantly lower estimation of zooplankton biodiversity due to the numerous cryptic species. These factors limit our understanding of biodiversity and ecology of zooplankton. DNA metabarcoding is proved to be a promising and powerful tool for species and community monitoring. Instead of separating individual organisms, this new approach extracts total DNA from the mixed samples of zooplankton and rely on high-throughput sequencing platform to enable rapid, accurate, and cost-effective analysis of a large number samples. The considerable information generated in the high-throughput sequencing process is helpful to reveal the hidden diversity of marine zooplankton community. In addition to samples collected by plankton nets, the environmental DNA (eDNA) from water column could also be used for metabarcoding analysis. The use of eDNA combined with metabarcoding method to detect biodiversity is less destructive to the environment and zooplankton community, and could be a complementary approach to detect species that are hardly be captured or easily destroyed by trawls. Thus, this approach is increasingly being used. In this review, the ribosome and mitochondrial molecular markers, which were frequently used in recently published studies related to DNA metabarcoding of zooplankton, were listed and compared. Particularly, small subunit ribosomal RNA (18S) and mitochondrial cytochrome oxidase I (COI) genes are mostly used. The former has higher taxonomic coverage, while the latter has higher taxonomic resolution. Since the coverage of individual markers is not sufficient by lack of reference sequences in the database, the use of multiple barcodes combined are recommend. In addition, the reliability and shortcomings of these technologies used in the study of zooplankton ecology were discussed, comparing with the results of morphological technology. Then some aspects of application, such as the monitoring of marine zooplankton community, trophic relationship analysis, and early warning of biological invasions, were reviewed. Finally, we prospected that the mutli-gene barcodes, complete reference libraries and accurate quantification research are important directions for the development of DNA metabarcoding approaches in the future.
Keywords:zooplankton  metabarcoding  environmental DNA  biodiversity  species monitoring
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