Evidence map›Paper›PMID 29904074›Full record

ArticleScientific reports2018

Metabarcoding analysis on European coastal samples reveals new molecular metazoan diversity.

David López-Escardó, Jordi Paps, Colomban de Vargas, Ramon Massana, Iñaki Ruiz-Trillo, Javier Del Campo

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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.

David López-EscardóInstitut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), 08003, Barcelona, Catalonia, Spain.
Jordi PapsSchool of Biological Sciences, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, UK.
Colomban de VargasCNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Roscoff, France.
Ramon MassanaDepartment of Marine Biology and Oceanography, Institut de Ciències del Mar (CSIC), Barcelona, Catalonia, Spain.
Iñaki Ruiz-TrilloInstitut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), 08003, Barcelona, Catalonia, Spain. inaki.ruiz@ibe.upf-csic.es.ORCID 0000-0001-6547-5304
Javier Del CampoInstitut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), 08003, Barcelona, Catalonia, Spain. jdelcampo@icm.csic.es.

Funding

European Research Council 268513European Research Council 616960
6 · The paper itself

Abstract

Although animals are among the best studied organisms, we still lack a full description of their diversity, especially for microscopic taxa. This is partly due to the time-consuming and costly nature of surveying animal diversity through morphological and molecular studies of individual taxa. A powerful alternative is the use of high-throughput environmental sequencing, providing molecular data from all organisms sampled. We here address the unknown diversity of animal phyla in marine environments using an extensive dataset designed to assess eukaryotic ribosomal diversity among European coastal locations. A multi-phylum assessment of marine animal diversity that includes water column and sediments, oxic and anoxic environments, and both DNA and RNA templates, revealed a high percentage of novel 18S rRNA sequences in most phyla, suggesting that marine environments have not yet been fully sampled at a molecular level. This novelty is especially high among Platyhelminthes, Acoelomorpha, and Nematoda, which are well studied from a morphological perspective and abundant in benthic environments. We also identified, based on molecular data, a potentially novel group of widespread tunicates. Moreover, we recovered a high number of reads for Ctenophora and Cnidaria in the smaller fractions suggesting their gametes might play a greater ecological role than previously suspected.

Indexed as

Aquatic OrganismsBiodiversityDNA Barcoding, TaxonomicNematodaPlatyhelminthsAnimalsDNA, HelminthEuropeRNA, HelminthRNA, Ribosomal, 18SDNA, HelminthRNA, HelminthRNA, Ribosomal, 18S

Identifiers

PMID29904074
PMCPMC6002407

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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.