Evidence map›Paper›PMID 29659610›Full record

ArticlePloS one2018

DNA metabarcoding and microscopic analyses of sea turtles biofilms: Complementary to understand turtle behavior.

Sinziana F Rivera, Valentin Vasselon, Katia Ballorain, Alice Carpentier, Carlos E Wetzel, Luc Ector, Agnès Bouchez, Frédéric Rimet

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

8 authors.

Sinziana F RiveraUMR CARRTEL, INRA, Université Savoie Mont-Blanc, Thonon, France.ORCID 0000-0002-0812-9031
Valentin VasselonUMR CARRTEL, INRA, Université Savoie Mont-Blanc, Thonon, France.
Katia BallorainAgence Française pour la Biodiversité, Parc naturel marin de Mayotte, 14 lot. Darine Montjoly, Iloni, Mayotte, France.
Alice CarpentierAssociation Escale, 13 bis rue Foundi Madi Attoumani, Mronabeja, Mayotte, France.
Carlos E WetzelLIST, 41 rue du Brill, Belvaux, Grand-duchy of Luxembourg.
Luc EctorLIST, 41 rue du Brill, Belvaux, Grand-duchy of Luxembourg.
Agnès BouchezUMR CARRTEL, INRA, Université Savoie Mont-Blanc, Thonon, France.
Frédéric RimetUMR CARRTEL, INRA, Université Savoie Mont-Blanc, Thonon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sea turtles are distributed in tropical and subtropical seas worldwide. They play several ecological roles and are considered important indicators of the health of marine ecosystems. Studying epibiotic diatoms living on turtle shells suggestively has great potential in the study of turtle behavior because diatoms are always there. However, diatom identification at the species level is time consuming, requires well-trained specialists, and there is a high probability of finding new taxa growing on turtle shells, which makes identification tricky. An alternative approach based on DNA barcoding and high throughput sequencing (HTS), metabarcoding, has been developed in recent years to identify species at the community level by using a DNA reference library. The suitabilities of morphological and molecular approaches were compared. Diatom assemblages were sampled from seven juvenile green turtles (Chelonia mydas) from Mayotte Island, France. The structures of the epibiotic diatom assemblages differed between both approaches. This resulted in different clustering of the turtles based on their diatom communities. Metabarcoding allowed better discrimination between turtles based on their epibiotic diatom assemblages and put into evidence the presence of a cryptic diatom diversity. Microscopy, for its part, provided more ecological information of sea turtles based on historical bibliographical data and the abundances of ecological guilds of the diatom species present in the samples. This study shows the complementary nature of these two methods for studying turtle behavior.

Indexed as

BiofilmsDNA Barcoding, TaxonomicMetagenomeMetagenomicsAnimalsBehavior, AnimalComorosIndian Ocean IslandsMicroscopyPhylogenyTurtles

Identifiers

PMID29659610
PMCPMC5901997

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.