Don't catch me if you can - Using cabled observatories as multidisciplinary platforms for marine fish community monitoring: An in situ case study combining Underwater Video and environmental DNA data.

Cabled observatory Environmental DNA Marine fish Metabarcoding Non-invasive monitoring Underwater Video

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
15 Jun 2021
Historique:
received: 13 10 2020
revised: 07 12 2020
accepted: 17 01 2021
entrez: 4 5 2021
pubmed: 5 5 2021
medline: 6 5 2021
Statut: ppublish

Résumé

Cabled observatories are marine infrastructures equipped with biogeochemical and oceanographic sensors as well as High-Definition video and audio equipment, hence providing unprecedented opportunities to study marine biotic and abiotic components. Additionally, non-invasive monitoring approaches such as environmental DNA (eDNA) metabarcoding have further enhanced the ability to characterize marine life. Although the use of non-invasive tools beholds great potential for the sustainable monitoring of biodiversity and declining natural resources, such techniques are rarely used in parallel and understanding their limitations is challenging. Thus, this study combined Underwater Video (UV) with eDNA metabarcoding data to produce marine fish community profiles over a 2 months period in situ at a cabled observatory in the northeast Atlantic (SmartBay Ireland). By combining both approaches, an increased number of fish could be identified to the species level (total of 22 species), including ecologically and economically important species such as Atlantic cod, whiting, mackerel and monkfish. The eDNA approach alone successfully identified a higher number of species (59%) compared to the UV approach (18%), whereby 23% of species were detected by both methods. The parallel implementation of point collection eDNA and time series UV data not only confirmed expectations of the corroborative effect of using multiple disciplines in fish community composition, but also enabled the assessment of limitations intrinsic to each technique including the identification of false-negative detections in one sampling technology relative to the other. This work showcased the usefulness of cabled observatories as key platforms for in situ empirical assessment of both challenges and prospects of novel technologies in aid to future monitoring of marine life.

Identifiants

pubmed: 33940724
pii: S0048-9697(21)00418-6
doi: 10.1016/j.scitotenv.2021.145351
pii:
doi:

Substances chimiques

DNA, Environmental 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

145351

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Luca Mirimin (L)

Marine and Freshwater Research Centre, Dublin Road, H91 T8NW Galway, Ireland; Galway-Mayo Institute of Technology, School of Science and Computing, Department of Natural Sciences, Dublin Road, H91 T8NW Galway, Ireland. Electronic address: luca.mirimin@gmit.ie.

Sam Desmet (S)

Marine and Freshwater Research Centre, Dublin Road, H91 T8NW Galway, Ireland; Galway-Mayo Institute of Technology, School of Science and Computing, Department of Natural Sciences, Dublin Road, H91 T8NW Galway, Ireland.

David López Romero (DL)

Institut de Ciencias del Mar (ICM-CSIC), Barcelona, Spain.

Sara Fernandez Fernandez (SF)

Marine and Freshwater Research Centre, Dublin Road, H91 T8NW Galway, Ireland; Galway-Mayo Institute of Technology, School of Science and Computing, Department of Natural Sciences, Dublin Road, H91 T8NW Galway, Ireland.

Dulaney L Miller (DL)

Marine and Freshwater Research Centre, Dublin Road, H91 T8NW Galway, Ireland; Galway-Mayo Institute of Technology, School of Science and Computing, Department of Natural Sciences, Dublin Road, H91 T8NW Galway, Ireland.

Sebastian Mynott (S)

Applied Genomics Ltd, Brixham Environmental Laboratory, Freshwater Quarry, Brixham TQ5 8BA, United Kingdom.

Alejandro Gonzalez Brincau (AG)

Applied Genomics Ltd, Brixham Environmental Laboratory, Freshwater Quarry, Brixham TQ5 8BA, United Kingdom.

Sergio Stefanni (S)

Stazione Zoologica Anton Dohrn (SZN), Naples, Italy.

Alan Berry (A)

Marine Institute, Ocean Science and Information Services, Rinville, Oranmore, Co. Galway, H91 R673, Ireland.

Paul Gaughan (P)

Marine Institute, Ocean Science and Information Services, Rinville, Oranmore, Co. Galway, H91 R673, Ireland.

Jacopo Aguzzi (J)

Institut de Ciencias del Mar (ICM-CSIC), Barcelona, Spain; Stazione Zoologica Anton Dohrn (SZN), Naples, Italy. Electronic address: jaguzzi@icm.csic.es.

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Classifications MeSH