Variations in microbiota composition of laboratory mice influence Citrobacter rodentium infection via variable short-chain fatty acid production Article Swipe
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· 2020
· Open Access
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· DOI: https://doi.org/10.1371/journal.ppat.1008448
The composition of the intestinal microbiota influences the outcome of enteric infections in human and mice. However, the role of specific members and their metabolites contributing to disease severity is largely unknown. Using isogenic mouse lines harboring distinct microbiota communities, we observed highly variable disease kinetics of enteric Citrobacter rodentium colonization after infection. Transfer of communities from susceptible and resistant mice into germ-free mice verified that the varying susceptibilities are determined by microbiota composition. The strongest differences in colonization were observed in the cecum and could be maintained in vitro by coculturing cecal bacteria with C. rodentium. Cohousing of animals as well as the transfer of cultivable bacteria from resistant to susceptible mice led to variable outcomes in the recipient mice. Microbiome analysis revealed that a higher abundance of butyrate-producing bacteria was associated with the resistant phenotype. Quantification of short-chain fatty acid (SCFA) levels before and after infection revealed increased concentrations of acetate, butyrate and propionate in mice with delayed colonization. Addition of physiological concentrations of butyrate, but not of acetate and/or propionate strongly impaired growth of C. rodentium in vitro. In vivo supplementation of susceptible, antibiotic-treated and germ-free mice with butyrate led to the same level of protection, notably only when cecal butyrate concentration reached a concentration higher than 50 nmol/mg indicating a critical threshold for protection. In the recent years, commensal-derived primary and secondary bacterial metabolites emerged as potent modulators of hosts susceptibility to infection. Our results provide evidence that variations in SCFA production in mice fed fibre-rich chow-based diets modulate susceptibility to colonization with Enterobacteriaceae not only in antibiotic-disturbed ecosystems but even in undisturbed microbial communities. These findings emphasise the need for microbiota normalization across laboratory mouse lines for infection experiments with the model-pathogen C. rodentium independent of investigations of diet and antibiotic usage.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.ppat.1008448
- OA Status
- gold
- Cited By
- 105
- References
- 48
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3012878208Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.ppat.1008448Digital Object Identifier
- Title
-
Variations in microbiota composition of laboratory mice influence Citrobacter rodentium infection via variable short-chain fatty acid productionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-03-24Full publication date if available
- Authors
-
Lisa Osbelt, Sophie Thiemann, Nathiana Smit, Till Robin Lesker, Madita Schröter, Eric J. C. Gálvez, Kerstin Schmidt‐Hohagen, Marina C. Pils, Sabrina Mühlen, Petra Dersch, Karsten Hiller, Dirk Schlüter, Meina Neumann‐Schaal, Till StrowigList of authors in order
- Landing page
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https://doi.org/10.1371/journal.ppat.1008448Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1371/journal.ppat.1008448Direct OA link when available
- Concepts
-
Citrobacter rodentium, Butyrate, Microbiology, Biology, Propionate, Short-chain fatty acid, Cecum, Gut flora, Microbiome, Colonization, Bacteria, Fusobacterium, In vivo, Immunology, Pathogen, Biochemistry, Bacteroides, Ecology, Bioinformatics, Genetics, Fermentation, BiotechnologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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105Total citation count in OpenAlex
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2025: 15, 2024: 20, 2023: 16, 2022: 16, 2021: 30Per-year citation counts (last 5 years)
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48Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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