Evidence map›Paper›PMID 28028473›Full record

ArticlePeerJ2016

Spatio-temporal monitoring of deep-sea communities using metabarcoding of sediment DNA and RNA.

Magdalena Guardiola, Owen S Wangensteen, Pierre Taberlet, Eric Coissac, María Jesús Uriz, Xavier Turon

Abstract read
In one paragraph

Article in PeerJ, 2016. 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

6 authors.

Magdalena GuardiolaDepartment of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB-CSIC) , Blanes , Spain.
Owen S WangensteenDepartment of Animal Biology and Biodiversity Research Institute (IRBIO), University of Barcelona, Barcelona, Spain; Ecosystems & Environment Research Centre, School of Environment & Life Sciences, University of Salford, Salford, United Kingdom.
Pierre TaberletLaboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique and Université Grenoble-Alpes , Grenoble , France.
Eric CoissacLaboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique and Université Grenoble-Alpes , Grenoble , France.
María Jesús UrizDepartment of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB-CSIC) , Blanes , Spain.
Xavier TuronDepartment of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB-CSIC) , Blanes , Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assessed spatio-temporal patterns of diversity in deep-sea sediment communities using metabarcoding. We chose a recently developed eukaryotic marker based on the v7 region of the 18S rRNA gene. Our study was performed in a submarine canyon and its adjacent slope in the Northwestern Mediterranean Sea, sampled along a depth gradient at two different seasons. We found a total of 5,569 molecular operational taxonomic units (MOTUs), dominated by Metazoa, Alveolata and Rhizaria. Among metazoans, Nematoda, Arthropoda and Annelida were the most diverse. We found a marked heterogeneity at all scales, with important differences between layers of sediment and significant changes in community composition with zone (canyon vs slope), depth, and season. We compared the information obtained from metabarcoding DNA and RNA and found more total MOTUs and more MOTUs per sample with DNA (ca. 20% and 40% increase, respectively). Both datasets showed overall similar spatial trends, but most groups had higher MOTU richness with the DNA template, while others, such as nematodes, were more diverse in the RNA dataset. We provide metabarcoding protocols and guidelines for biomonitoring of these key communities in order to generate information applicable to management efforts.

Indexed as

18SBiomonitoringeDNAeRNAMeiofaunaSedimentsSubmarine canyons

Identifiers

PMID28028473
PMCPMC5180584

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.