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Identification of <named-content content-type='genus-species'>Clostridioides difficile</named-content>-Inhibiting Gut Commensals Using Culturomics, Phenotyping, and Combinatorial Community Assembly
- Source :
- mSystems, Vol 5, Iss 1 (2020), mSystems, Vol 5, Iss 1, p e00620-19 (2020), mSystems
- Publication Year :
- 2020
- Publisher :
- American Society for Microbiology, 2020.
-
Abstract
- Antibiotic treatment causes instability of gut microbiota and the loss of colonization resistance, thus allowing pathogens such as Clostridioides difficile to colonize and causing recurrent infection and mortality. Although fecal microbiome transplantation has been shown to be an effective treatment for C. difficile infection (CDI), a more desirable approach would be the use of a defined mix of inhibitory gut bacteria. The C. difficile-inhibiting species and bacterial combinations identified herein improve the understanding of the ecological interactions controlling colonization resistance against C. difficile and could aid in the design of defined bacteriotherapy as a nonantibiotic alternative against CDI.<br />A major function of the gut microbiota is to provide colonization resistance, wherein pathogens are inhibited or suppressed below infectious levels. However, the fraction of gut microbiota required for colonization resistance remains unclear. We used culturomics to isolate a gut microbiota culture collection comprising 1,590 isolates belonging to 102 species. This culture collection represents 34.57% of the taxonomic diversity and 70% functional capacity, as estimated by metagenomic sequencing of the fecal samples used for culture. Using whole-genome sequencing, we characterized species representatives from this collection and predicted their phenotypic traits, further characterizing isolates by defining nutrient utilization profiles and short-chain fatty acid production. When screened with a coculture assay, 66 species in our culture collection inhibited Clostridioides difficile. Several phenotypes, particularly, growth rate, production of SCFAs, and the utilization of mannitol, sorbitol, or succinate, correlated with C. difficile inhibition. We used a combinatorial community assembly approach to formulate defined bacterial mixes inhibitory to C. difficile. We tested 256 combinations and found that both species composition and blend size were important in inhibition. Our results show that the interaction of bacteria with one another in a mix and with other members of gut commensals must be investigated to design defined bacterial mixes for inhibiting C. difficile in vivo. IMPORTANCE Antibiotic treatment causes instability of gut microbiota and the loss of colonization resistance, thus allowing pathogens such as Clostridioides difficile to colonize and causing recurrent infection and mortality. Although fecal microbiome transplantation has been shown to be an effective treatment for C. difficile infection (CDI), a more desirable approach would be the use of a defined mix of inhibitory gut bacteria. The C. difficile-inhibiting species and bacterial combinations identified herein improve the understanding of the ecological interactions controlling colonization resistance against C. difficile and could aid in the design of defined bacteriotherapy as a nonantibiotic alternative against CDI.
- Subjects :
- phenotypic identification
pathogen inhibition
Physiology
lcsh:QR1-502
microbiome
Colonisation resistance
Biology
Gut flora
Biochemistry
fatty acids
Microbiology
lcsh:Microbiology
03 medical and health sciences
colonization resistance
Genetics
Microbiome
Molecular Biology
Ecology, Evolution, Behavior and Systematics
030304 developmental biology
0303 health sciences
metagenomics
030306 microbiology
Clostridium difficile
Therapeutics and Prevention
culturomics
biology.organism_classification
QR1-502
Computer Science Applications
Transplantation
nutrient competition
Metagenomics
Modeling and Simulation
coculture
Bacteriotherapy
Bacteria
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 23795077
- Volume :
- 5
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- mSystems
- Accession number :
- edsair.doi.dedup.....046eaae5860512017c78e421911091be
- Full Text :
- https://doi.org/10.1128/mSystems.00620-19