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

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

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BORIS DOI
10.7892/boris.1484
Date of Publication
2010
Publication Type
Article
Division/Institute

Universitätsklinik fü...

Author
Stecher, Bärbel
Chaffron, Samuel
Käppeli, Rina
Hapfelmeier, Siegfried Hektororcid-logo
Universitätsklinik für Viszerale Chirurgie und Medizin, Gastroenterologie
Freedrich, Susanne
Weber, Thomas C
Kirundi, Jorum
Suar, Mrutyunjay
McCoy, Kathy D
von Mering, Christian
Macpherson, Andreworcid-logo
Universitätsklinik für Viszerale Chirurgie und Medizin, Gastroenterologie
Hardt, Wolf-Dietrich
Series
PLoS pathogens
ISSN or ISBN (if monograph)
1553-7366
Publisher
Public Library of Science
Language
English
Publisher DOI
10.1371/journal.ppat.1000711
PubMed ID
20062525
Description
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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/72201
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PLoS Pathog 2010 Stecher.pdftextAdobe PDF2.39 MBAttribution (CC BY 4.0)publishedOpen
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