Marine environmental DNA biomonitoring reveals seasonal patterns in biodiversity and identifies ecosystem responses to anomalous climatic events.


Journal

PLoS genetics
ISSN: 1553-7404
Titre abrégé: PLoS Genet
Pays: United States
ID NLM: 101239074

Informations de publication

Date de publication:
02 2019
Historique:
received: 14 09 2018
accepted: 07 01 2019
entrez: 9 2 2019
pubmed: 9 2 2019
medline: 16 4 2019
Statut: epublish

Résumé

Marine ecosystems are changing rapidly as the oceans warm and become more acidic. The physical factors and the changes to ocean chemistry that they drive can all be measured with great precision. Changes in the biological composition of communities in different ocean regions are far more challenging to measure because most biological monitoring methods focus on a limited taxonomic or size range. Environmental DNA (eDNA) analysis has the potential to solve this problem in biological oceanography, as it is capable of identifying a huge phylogenetic range of organisms to species level. Here we develop and apply a novel multi-gene molecular toolkit to eDNA isolated from bulk plankton samples collected over a five-year period from a single site. This temporal scale and level of detail is unprecedented in eDNA studies. We identified consistent seasonal assemblages of zooplankton species, which demonstrates the ability of our toolkit to audit community composition. We were also able to detect clear departures from the regular seasonal patterns that occurred during an extreme marine heatwave. The integration of eDNA analyses with existing biotic and abiotic surveys delivers a powerful new long-term approach to monitoring the health of our world's oceans in the context of a rapidly changing climate.

Identifiants

pubmed: 30735490
doi: 10.1371/journal.pgen.1007943
pii: PGENETICS-D-18-01842
pmc: PMC6368286
doi:

Substances chimiques

DNA 9007-49-2

Banques de données

Dryad
['10.5061/dryad.sc673ds']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1007943

Déclaration de conflit d'intérêts

The Authors declare that no competing interests exists.

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Auteurs

Tina E Berry (TE)

Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia.

Benjamin J Saunders (BJ)

Fish Ecology Laboratory, School Molecular and Life Sciences, Curtin University, Bentley, Western Australia.

Megan L Coghlan (ML)

Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia.

Michael Stat (M)

Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia.
School of Biological Sciences, Macquarie University, Sydney, Australia.

Simon Jarman (S)

Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia.
CSIRO Environomics Future Science Platform, Indian Ocean Marine Research Centre, The University of Western Australia, Perth, Western Australia.

Anthony J Richardson (AJ)

Centre for Applications in Natural Resource Mathematics, School of Mathematics and Physics, The University of Queensland, St Lucia, Queensland, Australia.
CSIRO Oceans and Atmosphere, Queensland Biosciences Precinct, St Lucia, Queensland, Australia.

Claire H Davies (CH)

CSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, Tasmania, Australia.

Oliver Berry (O)

CSIRO Environomics Future Science Platform, Indian Ocean Marine Research Centre, The University of Western Australia, Perth, Western Australia.

Euan S Harvey (ES)

Fish Ecology Laboratory, School Molecular and Life Sciences, Curtin University, Bentley, Western Australia.

Michael Bunce (M)

Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia.

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Classifications MeSH