The MerR-Like Regulator BrlR Impairs Pseudomonas aeruginosa Biofilm Tolerance to Colistin by Repressing PhoPQ
Bibliographic record
Abstract
While the MerR-like transcriptional regulator BrlR has been demonstrated to contribute to Pseudomonas aeruginosa biofilm tolerance to antimicrobial agents known as multidrug efflux pump substrates, the role of BrlR in resistance to cationic antimicrobial peptides (CAP), which is based on reduced outer membrane susceptibility, is not known. Here, we demonstrate that inactivation of brlR coincided with increased resistance of P. aeruginosa to colistin, while overexpression of brlR resulted in increased susceptibility. brlR expression correlated with reduced transcript abundances of phoP, phoQ, pmrA, pmrB, and arnC. Inactivation of pmrA and pmrB had no effect on the susceptibility of P. aeruginosa biofilms to colistin, while inactivation of phoP and phoQ rendered biofilms more susceptible than the wild type. The susceptibility phenotype of ΔphoP biofilms to colistin was comparable to that of P. aeruginosa biofilms overexpressing brlR. BrlR was found to directly bind to oprH promoter DNA of the oprH-phoPQ operon. BrlR reciprocally contributed to colistin and tobramycin resistance in P. aeruginosa PAO1 and CF clinical isolates, with overexpression of brlR resulting in increased tobramycin MICs and increased tobramycin resistance but decreased colistin MICs and increased colistin susceptibility. The opposite trend was observed upon brlR inactivation. The difference in susceptibility to colistin and tobramycin was eliminated by combination treatment of biofilms with both antibiotics. Our findings establish BrlR as an unusual member of the MerR family, as it not only functions as a multidrug transport activator, but also acts as a repressor of phoPQ expression, thus suppressing colistin resistance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".