Evidence map›Paper›PMID 32054950›Full record

ArticleScientific reports2020

Cryptic species in the parasitic Amoebophrya species complex revealed by a polyphasic approach.

Ruibo Cai, Ehsan Kayal, Catharina Alves-de-Souza, Estelle Bigeard, Erwan Corre, Christian Jeanthon, Dominique Marie, Betina M Porcel, Raffaele Siano, Jeremy Szymczak and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

11 citing papers in PubMed, 29 citations in OpenAlex.

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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

12 authors at 4 institutions in 4 countries.

Ruibo CaiSorbonne Université, CNRS, UMR7144 Adaptation et Diversité en Milieu Marin, Ecology of Marine Plankton (ECOMAP), Station Biologique de Roscoff SBR, 29680, Roscoff, France.
Ehsan KayalSorbonne Université, CNRS, FR2424 ABIMS, Station Biologique de Roscoff SBR, 29680, Roscoff, France.
Catharina Alves-de-SouzaAlgal Resources Collection, MARBIONC, Center for Marine Sciences, University of North Carolina Wilmington, 5600 Marvin K. Moss Lane, Wilmington, NC, 28409, US.
Estelle BigeardSorbonne Université, CNRS, UMR7144 Adaptation et Diversité en Milieu Marin, Ecology of Marine Plankton (ECOMAP), Station Biologique de Roscoff SBR, 29680, Roscoff, France.
Erwan CorreSorbonne Université, CNRS, FR2424 ABIMS, Station Biologique de Roscoff SBR, 29680, Roscoff, France.
Christian JeanthonSorbonne Université, CNRS, UMR7144 Adaptation et Diversité en Milieu Marin, Ecology of Marine Plankton (ECOMAP), Station Biologique de Roscoff SBR, 29680, Roscoff, France.
Dominique MarieSorbonne Université, CNRS, UMR7144 Adaptation et Diversité en Milieu Marin, Ecology of Marine Plankton (ECOMAP), Station Biologique de Roscoff SBR, 29680, Roscoff, France.
Betina M PorcelGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, University Evry, Université Paris-Saclay, 91057, Evry, France.
Raffaele SianoIfremer-Centre de Bretagne, Département/Unité/Laboratoire ODE/DYNECO/Pelagos, Z.I. Technopôle Brest-Iroise, Pointe du Diable BP70, 29280, Plouzané, France.
Jeremy SzymczakSorbonne Université, CNRS, UMR7144 Adaptation et Diversité en Milieu Marin, Ecology of Marine Plankton (ECOMAP), Station Biologique de Roscoff SBR, 29680, Roscoff, France.
Matthias WolfDepartment of Bioinformatics, Biocenter, University of Würzburg, Am Hubland, 97074, Würzburg, Germany.
Laure GuillouSorbonne Université, CNRS, UMR7144 Adaptation et Diversité en Milieu Marin, Ecology of Marine Plankton (ECOMAP), Station Biologique de Roscoff SBR, 29680, Roscoff, France. lguillou@sb-roscoff.fr.ORCID http://orcid.org/0000-0003-1032-7958
Centre National de la Recherche Scientifique · FRIfremer · FRUniversidade Federal do Rio de Janeiro · BRUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As critical primary producers and recyclers of organic matter, the diversity of marine protists has been extensively explored by high-throughput barcode sequencing. However, classification of short metabarcoding sequences into traditional taxonomic units is not trivial, especially for lineages mainly known by their genetic fingerprints. This is the case for the widespread Amoebophrya ceratii species complex, parasites of their dinoflagellate congeners. We used genetic and phenotypic characters, applied to 119 Amoebophrya individuals sampled from the same geographic area, to construct practical guidelines for species delineation that could be applied in DNA/RNA based diversity analyses. Based on the internal transcribed spacer (ITS) regions, ITS2 compensatory base changes (CBC) and genome k-mer comparisons, we unambiguously defined eight cryptic species among closely related ribotypes that differed by less than 97% sequence identity in their SSU rDNA. We then followed the genetic signatures of these parasitic species during a three-year survey of Alexandrium minutum blooms. We showed that these cryptic Amoebophrya species co-occurred and shared the same ecological niche. We also observed a maximal ecological fitness for parasites having narrow to intermediate host ranges, reflecting a high cost for infecting a broader host range. This study suggests that a complete taxonomic revision of these parasitic dinoflagellates is long overdue to understand their diversity and ecological role in the marine plankton.

Indexed as

DinoflagellidaDNA, RibosomalOperonPhenotypeProtozoan InfectionsRibosomesRibotypingWhole Genome SequencingDNA, Ribosomal

Identifiers

PMID32054950
PMCPMC7018713
OpenAlexW2993336507

What OpenQuestion holds

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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.