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Evaluating eDNA and eRNA metabarcoding for aquatic biodiversity assessment: From bacteria to vertebrates

文献类型： 外文期刊

作者： Zhang, Yan 1 ; Qiu, Yu 1 ; Liu, Kai 4 ; Zhong, Wenjun 1 ; Yang, Jianghua 1 ; Altermatt, Florian 2 ; Zhang, Xiaowei 1 ;

作者机构： 1.Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resource Reuse, Nanjing 210023, Peoples R China

2.Univ Zurich, Dept Evolutionary Biol & Environm Studies, Zurich, Switzerland

3.Eawag Swiss Fed Inst Aquat Sci & Technol, Dept Aquat Ecol, Dubendorf, Switzerland

4.Chinese Acad Fishery Sci, Freshwater Fisheries Res Ctr, Key Lab Freshwater Fisheries & Germplasm Resources, Minist Agr & Rural Affairs, Wuxi 214081, Peoples R China

关键词： Environmental nucleic acids; Aquatic biodiversity; Organismal size; Species detectability

期刊名称：ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY （ 影响因子：14.0； 五年影响因子：13.2 ）

ISSN： 2666-4984

年卷期： 2024 年 21 卷

页码：

收录情况： SCI

摘要： The monitoring and management of aquatic ecosystems depend on precise estimates of biodiversity. Metabarcoding analyses of environmental nucleic acids (eNAs), including environmental DNA (eDNA) and environmental RNA (eRNA), have garnered attention for their cost-effective and non-invasive biomonitoring capabilities. However, the accuracy of biodiversity estimates obtained through eNAs can vary among different organismal groups. Here we evaluate the performance of eDNA and eRNA metabarcoding across nine organismal groups, ranging from bacteria to terrestrial vertebrates, in three crosssections of the Yangtze River, China. We observe robust complementarity between eDNA and eRNA data. The relative detectability of eNAs was notably influenced by major taxonomic groups and organismal sizes, with eDNA providing more robust signals for larger organisms. Both eDNA and eRNA exhibited similar cross-sectional and longitudinal patterns. However, the detectability of larger organisms declined in eRNA metabarcoding, possibly due to differential RNA release and decay among different organismal groups or sizes. While underscoring the potential of eDNA and eRNA in large river biomonitoring, we emphasize the need for differential interpretation of eDNA versus eRNA data. This highlights the importance of careful method selection and interpretation in biomonitoring studies. (c) 2024 The Authors. Published by Elsevier B.V. on behalf of Chinese Society for Environmental Sciences, Harbin Institute of Technology, Chinese Research Academy of Environmental Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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