DNA in seawater can reveal fish diversity in the deep ocean
eDNA metabarcoding provides comparable and new insights compared to those of conventional methods
Credit: David Cote, Fisheries and Oceans Canada
A new study demonstrates the effectiveness of a novel method for using DNA in seawater samples to determine which fish species are present in a given part of the deep sea. A team of scientists from eDNAtec Inc. and colleagues from Fisheries and Oceans Canada and Memorial University present these findings in the open-access journal PLOS ONE on November 4.
The ability to monitor deep-sea fish diversity is necessary for implementing sustainable management efforts and understanding the impacts of commercial fishing and climate change. However, existing methods such as baited camera traps, trawling, and acoustic monitoring, have limited detection capabilities and are difficult to use in much of the ocean.
A newer method called eDNA metabarcoding reveals which fish are present in a given habitat by analyzing environmental DNA (eDNA)–DNA that is shed by organisms into the surrounding environment as they go about their normal activities.
To evaluate the effectiveness of eDNA metabarcoding for detecting deep-sea fish, McClenaghan and colleagues applied it to seawater samples collected from the Labrador Sea at depths of up to 2,500 meters. In deep-sea water samples (depths of 1,400 meters or greater), eDNA metabarcoding identified 11 fish families, 11 genera, and 8 species. The researchers compared their eDNA metabarcoding results to those obtained by conventional methods and found that they provided broader coverage of fish diversity and other taxa while using significantly less logistical effort. These advantages make eDNA techniques an important advancement for large-scale monitoring applications.
The research team also explored eDNA metabarcoding using various volumes of deep-ocean seawater samples and different DNA primers–short strands of DNA applied in the laboratory analysis of eDNA to determine which species are present. Their findings suggest that the deep ocean environment requires some adjustments to methods used in shallower waters, such as using larger volumes of water and the use of multiple primers to maximize species detection.
While the authors plan to further refine eDNA metabarcoding procedures for the unique nature of the deep-sea environment, they note that this method already can provide important insights for monitoring fish diversity in the deep ocean.
The authors add: “Advances in genomics and computational tools are rapidly expanding our ability to study and monitor biodiversity, a much needed task in the face of rapid and vast environmental change. Our study demonstrates the utility of eDNA analysis for the challenging endeavour of monitoring fish species in deep ocean and sets the stage for adoption of this approach by various stakeholders.”
Citation: McClenaghan B, Fahner N, Cote D, Chawarski J, McCarthy A, Rajabi H, et al. (2020) Harnessing the power of eDNA metabarcoding for the detection of deep-sea fishes. PLoS ONE 15(11): e0236540. https:/
Funding: This project was supported in part by a grant from the Canadian Ocean Supercluster, a grant from Genome Canada through Genome Atlantic, NSERC grant RGPIN-2014-04826, NSERC ship time grant RGPST, the ArcticNet Hidden Biodiversity Project, the Canadian Foundation for Innovation, the Marine Conservation Targets Program (Fisheries and Oceans Canada), a Petroleum R&D Grant from InnovateNL (contract number 5405.2121.101), an award from the Atlantic Canada Opportunities Agency’s Atlantic Innovation Fund (project number 781-37749-207993), and a grant from Petroleum Research Newfoundland and Labrador. Samples used for this study were collected from the Canadian research icebreaker CCGS Amundsen with the support of the Amundsen Science program funded by the Canada Foundation for Innovation (CFI) Major Science Initiatives (MSI) Fund. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the funders or their members. B.M., N.F., H.R., A.M., and G.S. are employees of eDNAtec Inc. and M.H. is the founder and Chief Scientific Officer of eDNAtec Inc. The compensations for authors B.M., N.F., H.R., A.M., and G.S. were supported in part by the funders, but the funders had no role additional in study design, data collection and analysis, decision to publish, or preparation of the manuscript. J.C. was financially supported by the Ocean Frontier Institute funded through the Canada First Research Excellence fund, the Atlantic Fisheries Fund, and the ArcticNet project ArcticFish. The specific roles of all the authors are articulated in the ‘author contributions’ section.
Competing Interests: B.M., N.F., H.R. A.M. and G.S. are employees of eDNAtec Inc. M.H. is the founder and Chief Scientific Officer. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
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