Marine environmental DNA: Approaches, applications, and opportunities.

Biodiversity Climate change Ecosystem monitoring Fisheries Invasive species Oceanography Phylogeography Population biology Protected species

Journal

Advances in marine biology
ISSN: 2162-5875
Titre abrégé: Adv Mar Biol
Pays: United States
ID NLM: 0370431

Informations de publication

Date de publication:
2020
Historique:
entrez: 1 7 2020
pubmed: 1 7 2020
medline: 29 7 2020
Statut: ppublish

Résumé

Environmental DNA (eDNA) is increasingly being used to document species distributions and habitat use in marine systems, with much of the recent effort focused on leveraging advances in next-generation DNA sequencing to assess and track biodiversity across taxonomic groups. Environmental DNA offers a number of important advantages over traditional survey techniques, including non-invasive sampling, sampling where traditional approaches are impractical or inefficient (e.g. deep oceans), reduced cost, and increased detection sensitivity. However, eDNA applications are currently limited because of an insufficient understanding of the influence of sample source, analytical approach, and marker type on eDNA detections. Because approaches vary considerably among eDNA studies, we present a summary of the current state of the field and emerging best practices. The impact of observed variation in rates of eDNA production, persistence, and transport are also discussed and future research needs are highlighted with the goal of expanding eDNA applications, including the development of statistical models to improve the predictability of eDNA detection and quantification.

Identifiants

pubmed: 32600544
pii: S0065-2881(20)30001-8
doi: 10.1016/bs.amb.2020.01.001
pii:
doi:

Substances chimiques

DNA, Environmental 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

141-169

Informations de copyright

© 2020 Elsevier Ltd All rights reserved.

Auteurs

Jeff A Eble (JA)

Ocean Engineering and Marine Sciences, Florida Institute of Technology, Melbourne, FL, United States. Electronic address: jeble@fit.edu.

Toby S Daly-Engel (TS)

Ocean Engineering and Marine Sciences, Florida Institute of Technology, Melbourne, FL, United States.

Joseph D DiBattista (JD)

Australian Museum Research Institute, Australian Museum, Sydney, NSW, Australia; School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.

Adam Koziol (A)

Evolutionary Genomics, GLOBE institute, University of Copenhagen, Copenhagen, Denmark.

Michelle R Gaither (MR)

Genomics and Bioinformatics Cluster, Department of Biology, University of Central Florida, Orlando, FL, United States.

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Classifications MeSH