文献类型： 外文期刊

作者： Xing, Yingchun ¹ ; Gao, Wanru ¹ ; Shen, Zhixin ⁴ ; Zhang, Yuanyuan ⁵ ; Bai, Jie ¹ ; Cai, Xingwei ⁴ ; Ouyang, Jilong ⁶ ; Zhao, Yahui ² ;

作者机构： 1.Chinese Acad Fishery Sci, Resource & Environm Res Ctr, Beijing, Peoples R China

2.Chinese Acad Sci, Inst Zool, Key Lab Zool Systemat & Evolut, Beijing, Peoples R China

3.Shanghai Ocean Univ, Coll Fisheries & Life Sci, Shanghai, Peoples R China

4.Hainan Acad Ocean & Fisheries Sci, Inst Freshwater Fisheries, Haikou, Hainan, Peoples R China

5.Beijing Zoo, Beijing, Peoples R China

6.Bur Agr & Rural Affairs Wenchang City, Wenchang, Peoples R China

关键词： eDNA; fish biodiversity and conservation; fish monitoring; analysis methods; experimental techniques; challenges and prospects

期刊名称：FRONTIERS IN ENVIRONMENTAL SCIENCE （ 影响因子：5.411； 五年影响因子：6.313 ）

ISSN：

年卷期： 2022 年 10 卷

页码：

收录情况： SCI

摘要： Environmental DNA (eDNA) has been used in research relevant to fish ecology such as species diversity and conservation studies, threatened and invasive species monitoring, and analyses of population structure and distribution. How to choose the optimal laboratory protocols on the basis of the research targets is the first question to be considered when conducting an eDNA study. In this review, we searched 554 published articles using the topic subject ((eDNA or environmental DNA) and (fish)) within the time span 2011-2021 via Thompson Reuters Web of Science (WoS) and China National Knowledge Infrastructure (CNKI) literature databases, and screened 371 articles related to eDNA research on fish ecology. These articles were categorized into "article (334)", "review (36)", and "letter (1)" based on the type, and "article" was divided into "article (method research)" and "article (eDNA application)" in line with the study objectives. The experimental methods adopted in each study were reviewed, and advantages and disadvantages of the main protocols were analyzed for each step. We recommend a set of optimal protocols for regular eDNA-based fish diversity detection and present the following suggestions for water sample collection and subsequent sample processing and experiments. Sample size is suggested to be 2 L regardless of the type of water bodies; three water replicates are recommended per sampling site, and water collection sites should be designed to cover various water layers and micro-habitats within research areas. Filtration is the best method for collecting eDNA from the larger water samples; 0.45 mu m glass fiber/glass microfiber (GF) filters and mixed cellulose acetate and nitrate (MCE) filters are recommended for use, and MCE filters are suitable for use in turbid waters; pre-filtration (>10 mu m filtering membranes) can be used to prevent clogging. Freezing temperature storage can slow eDNA degradation, and this is the optimal way to store DNA no matter what filtering method is applied. The Qiagen DNeasy Blood and Tissue DNA extraction kit was the most economical and efficient DNA extraction method compared to other commercial kits. The 12S rRNA gene is the first choice for detecting interspecies variation in fishes, and five 12s primer sets, Ac12S, MDB07, Mi-Fish, Vert-12SV5, and Teleo, are recommended. The TruSeq DNA PCR-free LT Sample Prep kit and NEBNext DNA Library Prep Master Mix Set for the 454 kit can be chosen. The Illumina HiSeq platform can obtain sufficient data depth for fish species detection. QIIME and OBITools are independent software packages used for eDNA sequences analysis of fishes, and bioinformatic analyses include several indispensable steps such as filtering raw reads, clustering filtered reads into molecular operational taxonomic units (MOTUs) or amplicon sequence variants (ASVs), and completing taxon annotation. Contamination, inhibition, lack of reference DNA data, and bioinformatic analysis are key challenges in future eDNA research, and we should develop effective experimental techniques and analysis software regarding these aspects. This review intends to help eDNA beginners to quickly understand laboratory protocols applied in fish ecological research; the information will be useful for the improvement and development of eDNA techniques in the future.