Evidence map›Paper›PMID 30108256›Full record

ArticleScientific reports2018

Multi-marker metabarcoding approach to study mesozooplankton at basin scale.

Sergio Stefanni, David Stanković, Diego Borme, Alessandra de Olazabal, Tea Juretić, Alberto Pallavicini, Valentina Tirelli

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  13. Evaluation of theFrontiers in microbiology · 2023
    Article
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  20. DNA-Based Herbal Teas' Authentication: An ITS2 andPlants (Basel, Switzerland) · 2021
    Article
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

7 authors.

Sergio StefanniStazione Zoologica Anton Dohrn, Villa Comunale, Naples, Italy. sergio.stefanni@szn.it.
David StankovićDepartment of Life Sciences, University of Trieste, Via Licio Giorgieri 5, Trieste, Italy.ORCID 0000-0002-3312-382X
Diego BormeIstituto Nazionale di Oceanografia e di Geofisica Sperimentale-OGS, Via A. Piccard 54, Trieste, Italy.
Alessandra de OlazabalIstituto Nazionale di Oceanografia e di Geofisica Sperimentale-OGS, Via A. Piccard 54, Trieste, Italy.
Tea JuretićIstituto Nazionale di Oceanografia e di Geofisica Sperimentale-OGS, Via A. Piccard 54, Trieste, Italy.
Alberto PallaviciniDepartment of Life Sciences, University of Trieste, Via Licio Giorgieri 5, Trieste, Italy.
Valentina TirelliIstituto Nazionale di Oceanografia e di Geofisica Sperimentale-OGS, Via A. Piccard 54, Trieste, Italy.ORCID 0000-0002-5152-2891

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zooplankton plays a pivotal role in marine ecosystems and the characterisation of its biodiversity still represents a challenge for marine ecologists. In this study, mesozooplankton composition from 46 samples collected in summer along the western Adriatic Sea, was retrieved by DNA metabarcoding analysis. For the first time, the highly variable fragments of the mtDNA COI and the V9 region of 18S rRNA genes were used in a combined matrix to compile an inventory of mesozooplankton at basin scale. The number of sequences retrieved after quality filtering were 824,148 and 223,273 for COI and 18S (V9), respectively. The taxonomical assignment against reference sequences, using 95% (for COI) and 97% (for 18S) similarity thresholds, recovered 234 taxa. NMDS plots and cluster analysis divided coastal from offshore samples and the most representative species of these clusters were distributed according to the dominant surface current pattern of the Adriatic for the summer period. For selected sampling sites, mesozooplankton species were also identified under a stereo microscope providing insights on the strength and weakness of the two approaches. In addition, DNA metabarcoding was shown to be helpful for the monitoring of non-indigenous marine metazoans and spawning areas of commercial fish species. We defined pros and cons of applying this approach at basin scale and the benefits of combining the datasets from two genetic markers.

Indexed as

BiodiversityAnimalsDNA Barcoding, TaxonomicDNA, MitochondrialEcological Parameter MonitoringHigh-Throughput Nucleotide SequencingIntroduced SpeciesMarine BiologyMetagenomeMetagenomicsOceans and SeasRNA, Ribosomal, 18SSequence Analysis, DNAZooplanktonDNA, MitochondrialRNA, Ribosomal, 18S

Identifiers

PMID30108256
PMCPMC6092319

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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.