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Related Experiment Video

Updated: Sep 13, 2025

The Floating Lab: Standard Operational Procedure for Collecting and Filtering Seawater Samples from Operating Ferries for Environmental DNA Analysis

The Floating Lab: Standard Operational Procedure for Collecting and Filtering Seawater Samples from Operating Ferries for Environmental DNA Analysis

Published on: August 1, 2025

Comparison of Environmental DNA Metabarcoding and Underwater Visual Census for Assessing Macrobenthic Diversity.

Zifeng Zhan^1,2,3, Weiwei Huo^1,2, 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.

|July 29, 2025

Summary

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.

Keywords:

biodiversity assessment eDNA marine protected area species detection efficiency subtidal zone

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Published on: July 2, 2018

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Last Updated: Sep 13, 2025

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Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop

Published on: July 2, 2018

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.