The PhoQ histidine kinases of <i>Salmonella</i> and <i>Pseudomonas</i> spp. are structurally and functionally different: evidence that pH and antimicrobial peptide sensing contribute to mammalian pathogenesis
Bibliographic record
Abstract
The PhoQ sensor kinase is essential for Salmonella typhimurium virulence for animals, and a homologue exists in the environmental organism and opportunistic pathogen Pseudomonas aeruginosa. S. typhimurium PhoQ (ST-PhoQ) is repressed by millimolar concentrations of divalent cations and activated by antimicrobial peptides and at acidic pH. ST-PhoQ has a periplasmic Per-ARNT-Sim domain, a fold commonly employed for ligand binding. However, substrate binding is instead accomplished by an acidic patch in the periplasmic domain that interacts with the inner membrane through divalent cation bridges. The DNA sequence encoding this acidic patch is absent from Pseudomonas phoQ (PA-PhoQ). Here, we demonstrate that PA-PhoQ binds and is repressed by divalent cations, and can functionally complement a S. typhimurium phoQ-null mutant. Mutational analysis and NMR spectroscopy of the periplasmic domains of ST-PhoQ and PA-PhoQ indicate distinct mechanisms of binding divalent cation. The data are consistent with PA-PhoQ binding metal in a specific ligand-binding pocket. PA-PhoQ was partially activated by acidic pH but not by antimicrobial peptides. S. typhimurium expressing PA-PhoQ protein were attenuated for virulence in a mouse model, suggesting that the ability of Salmonella to sense host environments via antimicrobial peptides and acidic pH is an important contribution to pathogenesis.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".