eDNA metabarcoding enriches traditional trawl survey data for monitoring biodiversity in the marine environment

Marine Protected Areas require comprehensive monitoring to ensure objectives are achieved; however, monitoring natural ecosystems at scale is challenged by the biodiversity it aims to measure. Environmental DNA (eDNA) metabarcoding holds promise to address this monitoring challenge. We conducted paired sampling at 54 sites for fish and invertebrate assemblages in the Northwest Atlantic using groundfish trawls and eDNA metabarcoding of benthic seawater using four genetic markers (12S rRNA, 16S rRNA, 18S rRNA, and CO1). Compared to trawling, eDNA detected similar patterns of species turnover, larger estimates of gamma diversity, and smaller estimates of alpha diversity. A total of 63.6% (42/66) of fish species captured by trawling were detected by eDNA, along with an additional 26 species. Of the 24 missed detections by eDNA, 12 were inevitable as they lacked reference sequences. Excluding taxa assigned to higher than species level and those without a species name, 23.6% (17/72) of invertebrate species captured by trawling were detected by CO1, which detected an additional 98 species. We demonstrate that eDNA is capable of detecting patterns of community assemblage and species turnover in an offshore environment, emphasizing its strong potential for a non-invasive, comprehensive, and scalable tool for biodiversity monitoring supporting marine conservation programmes.

Cite this data as: Jeffery, N., Rubidge, E., Abbott, C., Westfall, K., Stanley, R. (2024): Data of: eDNA metabarcoding enriches traditional trawl survey data for monitoring biodiversity in the marine environment.

Published: August 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/43a91ba7-8025-4330-88db-db14022d729d

Data and Resources

Additional Info

Field Value
Last Updated January 16, 2026, 20:55 (UTC)
Created January 16, 2026, 20:55 (UTC)
contains_pii non
criticality_level Élevé
data_formats CSV; ESRI REST; FGDB/GDB; HTML
fair_openness Level 2 - Machine-readable
geographic_scope Canada
sensitivity_level Faible
source_inventaire Inventaire_W
source_url https://open.canada.ca/data/en/dataset/43a91ba7-8025-4330-88db-db14022d729d
subject nature_and_environment, science_and_technology
update_frequency not_planned
year_most_recent 2025-04-16 11:20:22.908000
year_start 2024-08-13 20:20:52.259000