Evidence map›Paper›PMID 29268781›Full record

ArticleMicrobiome2017

Wild eel microbiome reveals that skin mucus of fish could be a natural niche for aquatic mucosal pathogen evolution.

Miguel Carda-Diéguez, Rohit Ghai, Francisco Rodríguez-Valera, Carmen Amaro

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
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  7. PandemicLife science alliance · 2023
    Article
  8. Article
  9. Vibrio vulnificus, an Underestimated Zoonotic Pathogen.Advances in experimental medicine and biology · 2023
    Review
  10. Article
  11. Article
  12. Article
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  14. A novel gnotobiotic experimental system for Atlantic salmon (Frontiers in cellular and infection microbiology · 2022
    Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Simultaneous Quantification ofPathogens (Basel, Switzerland) · 2020
    Article
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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

4 authors at 3 institutions in 2 countries.

Miguel Carda-DiéguezDepartment of Microbiology and Ecology abd Estructura de Recerca Interdisciplinar en Biotecnologia i Biomedicina (ERI BIOTECMED), University of Valencia, Valencia, Spain.
Rohit GhaiInstitute of Hydrobiology, Department of Aquatic Microbial Ecology, Biology Center of the Academy of Sciences of the Czech Republic, České Budějovice, Czech Republic.
Francisco Rodríguez-ValeraEvolutionary Genomics Group, Department de Producción Vegetal y Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Spain.
Carmen AmaroDepartment of Microbiology and Ecology abd Estructura de Recerca Interdisciplinar en Biotecnologia i Biomedicina (ERI BIOTECMED), University of Valencia, Valencia, Spain. Carmen.Amaro@uv.es.ORCID 0000-0003-1323-6330
Universitat de València · ESInstitute of Hydrobiology, Biology Centre, Academy of Sciences of the Czech Republic · CZUniversitat de Miguel Hernández d'Elx · ES

Funding

AEI/FEDER/EU CGL2016-76273-P [AEI/FEDER, EU]Dirección General de Investigación Científica y Técnica CGL2015-71523-REDC (Acciones de dinamización "REDES DE EXCELENCIA" CONSOLIDER)Generalitat Valenciana Prometeo II/2014/012 "AQUAMET"Grantová Agentura České Republiky 17-04828SSecretaría de Estado de Investigación, Desarrollo e Innovación AGL2014-58933-P (cofunded with FEDER funds)Secretaría de Estado de Investigación, Desarrollo e Innovación BES-2012-052361
6 · The paper itself

Abstract

backgroundFish skin mucosal surfaces (SMS) are quite similar in composition and function to some mammalian MS and, in consequence, could constitute an adequate niche for the evolution of mucosal aquatic pathogens in natural environments. We aimed to test this hypothesis by searching for metagenomic and genomic evidences in the SMS-microbiome of a model fish species (Anguilla Anguilla or eel), from different ecosystems (four natural environments of different water salinity and one eel farm) as well as the water microbiome (W-microbiome) surrounding the host.

resultsRemarkably, potentially pathogenic Vibrio monopolized wild eel SMS-microbiome from natural ecosystems, Vibrio anguillarum/Vibrio vulnificus and Vibrio cholerae/Vibrio metoecus being the most abundant ones in SMS from estuary and lake, respectively. Functions encoded in the SMS-microbiome differed significantly from those in the W-microbiome and allowed us to predict that successful mucus colonizers should have specific genes for (i) attachment (mainly by forming biofilms), (ii) bacterial competence and communication, and (iii) resistance to mucosal innate immunity, predators (amoeba), and heavy metals/drugs. In addition, we found several mobile genetic elements (mainly integrative conjugative elements) as well as a series of evidences suggesting that bacteria exchange DNA in SMS. Further, we isolated and sequenced a V. metoecus strain from SMS. This isolate shares pathogenicity islands with V. cholerae O1 from intestinal infections that are absent in the rest of sequenced V. metoecus strains, all of them from water and extra-intestinal infections.

conclusionsWe have obtained metagenomic and genomic evidence in favor of the hypothesis on the role of fish mucosal surfaces as a specialized habitat selecting microbes capable of colonizing and persisting on other comparable mucosal surfaces, e.g., the human intestine.

Indexed as

Water MicrobiologyAnguillaAnimalsAnimals, WildBacteriaDNA, BacterialEvolution, MolecularGenomic IslandsGenomicsHumansMetagenomicsMicrobiotaMucusSkinVibrioDNA, BacterialAttached microbiotaMetagenomicsMicrobiomeSkin mucusVibrio

Identifiers

PMID29268781
PMCPMC5740887
OpenAlexW2777266954

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.