Evidence map›Paper›PMID 33077888›Full record

ArticleThe ISME journal2021

Mining zebrafish microbiota reveals key community-level resistance against fish pathogen infection.

Franziska A Stressmann, Joaquín Bernal-Bayard, David Perez-Pascual, Bianca Audrain, Olaya Rendueles, Valérie Briolat, Sebastian Bruchmann, Stevenn Volant, Amine Ghozlane, Susanne Häussler and 3 more

Abstract read
In one paragraph

Article in The ISME journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Article
  7. AmicroLife · 2026
    Article
  8. Article
  9. Intestinal Microbial Profiles of Wild Zobaidy (Current issues in molecular biology · 2025
    Article
  10. Article
  11. DRIVERS OF VARIATION OF THE ZEBRAFISH EGG MICROBIOME.bioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Secreted peptidases contribute to virulence of fish pathogenFrontiers in cellular and infection microbiology · 2023
    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

13 authors.

Franziska A Stressmann *Genetics of Biofilms Laboratory, Institut Pasteur, UMR CNRS2001, 75015, Paris, France.
Joaquín Bernal-Bayard *Genetics of Biofilms Laboratory, Institut Pasteur, UMR CNRS2001, 75015, Paris, France.ORCID http://orcid.org/0000-0003-1199-3629
David Perez-PascualGenetics of Biofilms Laboratory, Institut Pasteur, UMR CNRS2001, 75015, Paris, France.
Bianca AudrainGenetics of Biofilms Laboratory, Institut Pasteur, UMR CNRS2001, 75015, Paris, France.
Olaya RenduelesGenetics of Biofilms Laboratory, Institut Pasteur, UMR CNRS2001, 75015, Paris, France.ORCID http://orcid.org/0000-0002-6648-1594
Valérie BriolatMacrophages and Development of Immunity Laboratory, Institut Pasteur, UMR3738 CNRS, 75015, Paris, France.
Sebastian BruchmannDepartment of Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany.ORCID http://orcid.org/0000-0001-8721-5386
Stevenn VolantHub de Bioinformatique et Biostatistique - Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris, France.
Amine GhozlaneHub de Bioinformatique et Biostatistique - Département Biologie Computationnelle, Institut Pasteur, USR 3756 CNRS, Paris, France.ORCID http://orcid.org/0000-0001-7670-6235
Susanne HäusslerDepartment of Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany.ORCID http://orcid.org/0000-0001-6141-9102
Eric DuchaudUnité VIM, INRAE, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Jean-Pierre LevraudMacrophages and Development of Immunity Laboratory, Institut Pasteur, UMR3738 CNRS, 75015, Paris, France.ORCID http://orcid.org/0000-0001-6775-2416
Jean-Marc GhigoGenetics of Biofilms Laboratory, Institut Pasteur, UMR CNRS2001, 75015, Paris, France. jmghigo@pasteur.fr.ORCID http://orcid.org/0000-0001-6528-118X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long-known resistance to pathogens provided by host-associated microbiota fostered the notion that adding protective bacteria could prevent or attenuate infection. However, the identification of endogenous or exogenous bacteria conferring such protection is often hindered by the complexity of host microbial communities. Here, we used zebrafish and the fish pathogen Flavobacterium columnare as a model system to study the determinants of microbiota-associated colonization resistance. We compared infection susceptibility in germ-free, conventional and reconventionalized larvae and showed that a consortium of 10 culturable bacterial species are sufficient to protect zebrafish. Whereas survival to F. columnare infection does not rely on host innate immunity, we used antibiotic dysbiosis to alter zebrafish microbiota composition, leading to the identification of two different protection strategies. We first identified that the bacterium Chryseobacterium massiliae individually protects both larvae and adult zebrafish. We also showed that an assembly of 9 endogenous zebrafish species that do not otherwise protect individually confer a community-level resistance to infection. Our study therefore provides a rational approach to identify key endogenous protecting bacteria and promising candidates to engineer resilient microbial communities. It also shows how direct experimental analysis of colonization resistance in low-complexity in vivo models can reveal unsuspected ecological strategies at play in microbiota-based protection against pathogens.

Indexed as

MicrobiotaZebrafishAnimalsDysbiosisFlavobacterium

Identifiers

PMID33077888
PMCPMC8027185

What OpenQuestion holds

Textmetadata
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.