Comparison of Environmental DNA Metabarcoding and Underwater Visual Census for Assessing Macrobenthic Diversity
Zifeng Zhan1,2,3, Weiwei Huo1,2, Shangwei Xie4
1Laboratory of Marine Organism Taxonomy and Phylogeny, Qingdao Key Laboratory of Marine Biodiversity and Conservation, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
Sediment environmental DNA (eDNA) sampling revealed higher benthic macrofauna species richness than water eDNA or underwater visual census (UVC). Integrating these methods is essential for comprehensive aquatic biodiversity assessment.
Area of Science:
- Marine biology
- Molecular ecology
- Environmental science
Background:
- Environmental DNA (eDNA) is revolutionizing ecological research, especially in aquatic environments.
- Optimal sampling matrices (water vs. sediment) and the role of eDNA versus traditional underwater visual census (UVC) require further clarification.
Purpose of the Study:
- To systematically compare the diversity of benthic macrofauna using water eDNA, sediment eDNA, and UVC.
- To evaluate the complementarity of these methods for biodiversity assessment in subtidal zones.
Main Methods:
- Integration of three distinct sampling approaches: water eDNA, sediment eDNA, and underwater visual census (UVC).
- Systematic comparison of benthic macrofauna diversity in the subtidal zones of the Nanji Islands, China.
Main Results:
- Sediment eDNA yielded the highest species richness, while UVC showed the lowest.
- Each method detected unique species profiles, with limited overlap at the order level and below.
- eDNA excelled at detecting Annelida and Arthropoda, whereas UVC was vital for identifying taxa like Bryozoa.
Conclusions:
- The distinct species detected by each method highlight their complementary roles in biodiversity assessment.
- Integrating water eDNA, sediment eDNA, and UVC is necessary for a comprehensive understanding of benthic macrofauna.
- Further refinement of eDNA techniques, including primer development, is recommended for enhanced biodiversity monitoring.
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