Page 176 - 《水产学报》2025年第11期
P. 176

杨锦毅,等                                                                水产学报, 2025, 49(11): 119314




                Species identification rates of commonly used Environmental DNA primers
                                              for Yangtze River fishes



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                     YANG Jinyi  1,2,3 ,     YAN Mingying  ,     GAO Lei  ,     DUAN Xinbin  ,     LIU Mingdian  ,
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                                           CHEN Daqing  ,     WANG Dengqiang  1*
                  1. Fishery Resources and Environmental Science Experimental Station of the Upper-middle Reaches of Yangtze River,
                Ministry of Agriculture and Rural Affairs, National Agricultural Science Observing and Experimental Station of Chongqing,
                      Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Science, Wuhan 430233, China;
                                2. National Experimental Teaching Demonstration Center of Aquatic Science,
                                        Shanghai Ocean University, Shanghai 201306, China;
                                  3. Xiaogan Academy of Agricultural Sciences, Xiaogan 432000, China


              Abstract: Environmental DNA (eDNA) metabarcoding has emerged as a powerful approach for assessing aquatic biodiversity;
              however,  it  remains  limited  by  uncertainties  in  OTU-clustering  thresholds  and  taxonomic  assignment.  The  Yangtze  River,
              China’s longest river system, harbors over 4 300 aquatic species, with fish constituting a dominant group in freshwater ecosys-
              tems. Due to their sensitivity to water quality, fish serve as reliable ecological indicators for monitoring environmental change.
              To improve the reference value of eDNA in studying Yangtze River fish diversity, DNA sequences of 320 species were collec-
              ted from Mitofish and NCBI databases. Five commonly used eDNA fragments (12S-AcDBM07, 12S-Mifish-U, 12S-Tele02,
              16S-Ac16s, COI-PS1) were extracted from three genes (12S RNA, 16S RNA, COI) for genetic distance calculations under
              thresholds of 0.03, 0.02, and 0.01. This aimed to evaluate identification efficiency and explore applications in fish diversity
              studies. Results show that at thresholds of 0.03, 0.02, and 0.01, 137, 108, and 56 fish species could not be identified using the
              five  fragments.  Among  them,  the  protein-coding  gene  COI-PS1  exhibited  the  highest  identification  rate,  reaching  53.44%,
              60.63%, and 72.50% respectively. Among the five fragments, 12S-Tele02 with 12S-Mifish-U had the greatest overlap in identi-
              fied species, with 98.54%, 100%, and 91.11% consistency across thresholds. When selecting fragment combinations, “12S-
              Tele02” plus “COI-PS1” identified the most species under all thresholds (180, 206, and 257 species), differing only by 3, 6, and
              7 species from the results of using all five fragments. In summary, this study highlights that the relationship between interspe-
              cies difference thresholds and species identification must be carefully considered in applying eDNA for Yangtze River fish
              diversity, to avoid false positives in OTU annotations. For species that are hard to distinguish but of high conservation value,
              targeted primer design can enhance monitoring efficiency. Moreover, combining eDNA technology with traditional netting can
              provide a more comprehensive assessment of local aquatic biodiversity.
              Key words: fishes; environmental DNA; metabarcoding; interspecies difference threshold; Yangtze River
              Corresponding author: WANG Dengqiang. E-mail: wdq@yfi.ac.cn
              Funding projects: National Key R & D Program of China (2022YFC3202001); National Natural Science Foundation of China,
              Ministry of Water Resources of the People's Republic of China and China Three Gorges Corporation-Yangtze River Water Sci-
              ence  Research  Joint  Fund  Project  (U2240214);  Central  Public-interest  Scientific  Institution  Basal  Research  Fund,  CAFS
              (2023TD09)











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