<i>Enterocloster citroniae</i> and related gut microbiome species modulate <i>Vibrio cholerae</i> biofilm formation through the production of bioactive small molecules
Bibliographic record
Abstract
Abstract Cholera is a diarrheal disease that affects millions of people globally. Although the causative agent, Vibrio cholerae , has been extensively studied in isolation, investigation of its interactions with the gut microbiota started relatively recently. We and others previously showed that microbiota-derived metabolites significantly influence V. cholerae behavior. By investigating how an organic extract of human feces affects V. cholerae gene expression, we showed that gut metabolites strongly suppress swimming motility, a trait important for host colonization. Interestingly, extracts of pure cultures of a gut commensal, Enterocloster citroniae , recapitulated this inhibition. Here, we present a comprehensive examination of the effect of small molecules produced by E. citroniae and related species on V. cholerae behavior. We show that E. citroniae small molecules inhibit motility by various V. cholerae strains, and that several phylogenetically related species produce this activity, although the magnitude of the effect varies between strains. Using biofilm formation assays in static and flow conditions, we show that V. cholerae strongly induces biofilm formation in response to E. citroniae metabolites. Transcriptome and reporter analyses showed that several genes involved in synthesis of an extracellular polysaccharide are induced by E. citroniae metabolites. Lastly, we show that V. cholerae interactions with host cells are also modulated by this commensal. These findings advance our understanding of microbiome-pathogen interactions and how commensal bacteria influence V. cholerae virulence through the production of small molecules. In the future, this knowledge may be used to design novel microbiome-based therapeutic approaches to combat cholera and other infections. Importance The human gut is home to a dense and rich community of microbes termed microbiota. This community has critical functions for host health, including protection against enteric pathogens. Despite this important role, we have only recently scratched the surface of the interactions that occur between members of the microbiota and pathogenic invaders. Cholerae is a disease that still causes significant morbidity and mortality worldwide. Studying how the causative agent, Vibrio cholerae , interacts with the microbiota will have implications not only for our understanding of this important microbial community, but may also lead to the development of new therapeutic strategies against cholera and potentially other infectious diseases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".