Evidence map›Paper›PMID 30735490›Full record

ArticlePLoS genetics2019

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

Tina E Berry, Benjamin J Saunders, Megan L Coghlan, Michael Stat, Simon Jarman, Anthony J Richardson, Claire H Davies, Oliver Berry, Euan S Harvey, Michael Bunce

Abstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Tina E BerryTrace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia.ORCID 0000-0002-7203-2437
Benjamin J SaundersFish Ecology Laboratory, School Molecular and Life Sciences, Curtin University, Bentley, Western Australia.ORCID 0000-0003-1929-518X
Megan L CoghlanTrace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia.
Michael StatTrace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia.ORCID 0000-0002-1663-3422
Simon JarmanTrace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia.
Anthony J RichardsonCentre for Applications in Natural Resource Mathematics, School of Mathematics and Physics, The University of Queensland, St Lucia, Queensland, Australia.
Claire H DaviesCSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, Tasmania, Australia.ORCID 0000-0002-0424-1835
Oliver BerryCSIRO Environomics Future Science Platform, Indian Ocean Marine Research Centre, The University of Western Australia, Perth, Western Australia.
Euan S HarveyFish Ecology Laboratory, School Molecular and Life Sciences, Curtin University, Bentley, Western Australia.
Michael BunceTrace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia.ORCID 0000-0002-0302-4206

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BiodiversityClimate ChangeEcosystemAnimalsAquatic OrganismsDNADNA Barcoding, TaxonomicEnvironmental MonitoringOceans and SeasPhylogenySeasonsWestern AustraliaZooplanktonDNA

Identifiers

PMID30735490
PMCPMC6368286

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.