The contribution of MvfR to <i>Pseudomonas aeruginosa</i> pathogenesis and quorum sensing circuitry regulation: multiple quorum sensing‐regulated genes are modulated without affecting <i>lasRI</i>, <i>rhlRI</i> or the production of <i>N</i>‐acyl‐ <scp>l</scp>‐homoserine lactones
Bibliographic record
Abstract
The transcriptional regulator MvfR is required for full Pseudomonas aeruginosa virulence, the function of multiple quorum sensing (QS)-regulated virulence factors and the synthesis of 4-hydroxy-2-alkylquinolines (HAQs), including the Pseudomonas quinolone signal (PQS). Here we investigate the role of MvfR in the QS circuitry and P. aeruginosa pathogenesis. We demonstrate using a combination of biochemical and molecular approaches, including transcription profiling, that MvfR is involved in the regulation of multiple P. aeruginosa QS-controlled genes without altering the expression of lasRI/rhlRI or the production of N-acyl-L-homoserine lactone (AHL) signals. Dissection of how mvfR is interwoven into the P. aeruginosa QS circuitry reveals that the MvfR system, through the essential contribution of PqsE, positively regulates a subset of genes dependant on both LasR and RhlR. Animal studies show that MvfR contributes to P. aeruginosa virulence by controlling the transcription of genes not under RhlR regulation, and that reduced virulence of a mvfR mutant is caused by the loss of pqsE expression and not only a deficiency in HAQs/PQS production. This study provides novel insights into the unique role of the MvfR system in AHL-mediated QS and further supports its importance in P. aeruginosa pathogenesis.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".