Frontiers in Marine Science (Jan 2022)

Combined Use of eDNA Metabarcoding and Bottom Trawling for the Assessment of Fish Biodiversity in the Zhoushan Sea

  • Shan Zhou,
  • Shan Zhou,
  • Shan Zhou,
  • Chenrong Fan,
  • Chenrong Fan,
  • Chenrong Fan,
  • Haoming Xia,
  • Jian Zhang,
  • Wei Yang,
  • Wei Yang,
  • Wei Yang,
  • Dengjie Ji,
  • Dengjie Ji,
  • Dengjie Ji,
  • Lei Wang,
  • Lei Wang,
  • Lei Wang,
  • Li Chen,
  • Li Chen,
  • Li Chen,
  • Nannan Liu,
  • Nannan Liu,
  • Nannan Liu

DOI
https://doi.org/10.3389/fmars.2021.809703
Journal volume & issue
Vol. 8

Abstract

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With the increase in fishing intensity and the intensification of marine pollution, the fishery resources in the Zhoushan Sea are seriously degraded, and the difficulty of censusing fish diversity hampers effective management in marine fishes. Environmental DNA metabarcoding and bottom trawl methods were used to determine the ability of the methods to distinguish fish assemblages in the Zhoushan Sea. The species composition and diversity of the Zhoushan Sea were assessed via high-throughput sequencing analysis of eDNA coupled with bottom trawl fishery survey data, after which the two methods were compared. eDNA screening identified 38.2% more fish species than bottom trawls. Combining these two methods, 33 orders, 65 families, and 130 species of fishes were identified. Perciformes and Clupeiformes, the most abundant orders in the catch, represented 31.5 and 10.0% of the total fish abundance, respectively. The results of ANOSIM and redundancy analyses indicated that the fish community structure varied significantly between summer and winter, however depth and temperature being the main environmental factors influencing fish distribution. The biodiversity index was higher in summer than in winter. Thus, our work provides more detailed seasonal data on biodiversity in the Zhoushan Sea, which is essential for the long-term management and conservation of coastal biodiversity. Compared with traditional survey methods, eDNA determination is highly sensitive, accurate, cost-efficient, and suitable for fish diversity studies in relevant sea areas. Although this approach cannot completely replace traditional methods, our findings demonstrate that it provides a reliable complementary method for assessing fish diversity in marine ecosystems.

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