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Little samplers, big fleet: eDNA metabarcoding from commercial trawlers enhances ocean monitoring

Maiello, G, Talarico, L, Carpentieri, P, De Angelis, F, Franceschini, S, Harper, LR, Neave, EF, Rickards, O, Sbrana, A, Shum, P, Veltre, V, Mariani, S and Russo, T (2022) Little samplers, big fleet: eDNA metabarcoding from commercial trawlers enhances ocean monitoring. Fisheries Research, 249. ISSN 0165-7836

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Abstract

The global need to monitor the status of marine resources is a priority task in marine management, but most ocean surveys still rely on costly and time-consuming capture-based techniques. Here we test a novel, easy-to use device to collect eDNA on board of bottom trawl fishing vessels, during normal fishing operations, quickly and easily: custom-made rolls of gauze tied to a hollow perforated spherical probe (the ‘metaprobe’) that placed inside the fishing net aims to gather traces of genetic material from the surrounding environment. We collected six samples from three central Tyrrhenian sites. Using an established fish-specific metabarcoding marker, we recovered over 70% of the caught species and accurately reconstructed fish assemblages typical of the different bathymetric layers considered. eDNA metabarcoding data also returned a biodiversity ‘bonus’ of mostly mesopelagic species, not catchable by bottom trawls. Further investigation is needed to upscale this promising approach as a powerful tool to monitor catch composition, assess the distribution of stocks, and generally record changes in fish communities across the oceans.

Item Type: Article
Uncontrolled Keywords: 0502 Environmental Science and Management, 0602 Ecology, 0704 Fisheries Sciences
Subjects: G Geography. Anthropology. Recreation > GC Oceanography
G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > QL Zoology
S Agriculture > SH Aquaculture. Fisheries. Angling
Divisions: Biological & Environmental Sciences (new Sep 19)
Publisher: Elsevier
Date Deposited: 14 Feb 2022 10:53
Last Modified: 14 Feb 2022 11:00
DOI or Identification number: 10.1016/j.fishres.2022.106259
URI: https://researchonline.ljmu.ac.uk/id/eprint/16281

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