Evidence map›Paper›PMID 20062525›Full record

ArticlePLoS pathogens2010

Like will to like: abundances of closely related species can predict susceptibility to intestinal colonization by pathogenic and commensal bacteria.

Bärbel Stecher, Samuel Chaffron, Rina Käppeli, Siegfried Hapfelmeier, Susanne Freedrich, Thomas C Weber, Jorum Kirundi, Mrutyunjay Suar, Kathy D McCoy, Christian von Mering and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 226 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
226citing papers in PubMed, 2 pooled it
12.4field-weighted citation impact, top 1% 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

226 citing papers in PubMed, 2 syntheses or guidelines pooled it, 439 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Review
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  13. One Health, One Microbiome.Microbiome · 2025
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  14. The intestinal environment potentiates bacteriophage adaptation in response to phenotypic resistance inProceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Cecal Metabolome Profiles of Turkey Poults in Response toAnimals : an open access journal from MDPI · 2025
    Article
  18. Article
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  20. Article

166 more citing papers are in PubMed but not listed here.

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 5 institutions in 3 countries.

Bärbel StecherInstitute of Microbiology, ETH Zürich, Zürich, Switzerland. stecher@micro.biol.ethz.ch
Samuel Chaffron
Rina Käppeli
Siegfried Hapfelmeier
Susanne Freedrich
Thomas C Weber
Jorum Kirundi
Mrutyunjay Suar
Kathy D McCoy
Christian von Mering
Andrew J Macpherson
Wolf-Dietrich Hardt
ETH Zurich · CHMcMaster University · CASIB Swiss Institute of Bioinformatics · CHKIIT University · INUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intestinal ecosystem is formed by a complex, yet highly characteristic microbial community. The parameters defining whether this community permits invasion of a new bacterial species are unclear. In particular, inhibition of enteropathogen infection by the gut microbiota ( = colonization resistance) is poorly understood. To analyze the mechanisms of microbiota-mediated protection from Salmonella enterica induced enterocolitis, we used a mouse infection model and large scale high-throughput pyrosequencing. In contrast to conventional mice (CON), mice with a gut microbiota of low complexity (LCM) were highly susceptible to S. enterica induced colonization and enterocolitis. Colonization resistance was partially restored in LCM-animals by co-housing with conventional mice for 21 days (LCM(con21)). 16S rRNA sequence analysis comparing LCM, LCM(con21) and CON gut microbiota revealed that gut microbiota complexity increased upon conventionalization and correlated with increased resistance to S. enterica infection. Comparative microbiota analysis of mice with varying degrees of colonization resistance allowed us to identify intestinal ecosystem characteristics associated with susceptibility to S. enterica infection. Moreover, this system enabled us to gain further insights into the general principles of gut ecosystem invasion by non-pathogenic, commensal bacteria. Mice harboring high commensal E. coli densities were more susceptible to S. enterica induced gut inflammation. Similarly, mice with high titers of Lactobacilli were more efficiently colonized by a commensal Lactobacillus reuteri(RR) strain after oral inoculation. Upon examination of 16S rRNA sequence data from 9 CON mice we found that closely related phylotypes generally display significantly correlated abundances (co-occurrence), more so than distantly related phylotypes. Thus, in essence, the presence of closely related species can increase the chance of invasion of newly incoming species into the gut ecosystem. We provide evidence that this principle might be of general validity for invasion of bacteria in preformed gut ecosystems. This might be of relevance for human enteropathogen infections as well as therapeutic use of probiotic commensal bacteria.

Indexed as

AnimalsBacteriaDisease SusceptibilityEnterocolitisGenes, BacterialIntestinesMicePhylogenyReverse Transcriptase Polymerase Chain ReactionRNA, Ribosomal, 16SSalmonella InfectionsRNA, Ribosomal, 16S

Identifiers

PMID20062525
PMCPMC2796170
OpenAlexW1983320630

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.