Conserved regulation of omptin proteases by the PhoPQ two-component regulatory system in Enterobacteriaceae
Bibliographic record
Abstract
Abstract Bacteria that colonize eukaryotic surfaces interact with numerous host-produced molecules that have antimicrobial activity. Bacteria have evolved numerous strategies to both detect and resist these molecules, and in gram-negative bacteria these include alterations of the cell surface lipopolysaccharide structure and/or charge and the production of proteases that can degrade these antimicrobial molecules. Many of the lipopolysaccharide alterations found in enteric bacteria are controlled by the PhoPQ and PmrAB two-component regulatory systems. Here, we show that omptin family proteases from Escherichia coli and Citrobacter rodentium are induced by growth in low Mg 2+ . We further show that deletion of PhoP eliminates omptin protease activity, transcriptional regulation and protein levels. We identify conserved PhoP-binding sites in the promoters of the E. coli omptin genes, ompT , ompP and arlC as well as in croP of Citrobacter rodentium and show that mutation of the putative PhoP-binding site in the ompT promoter abrogates PhoP-dependent expression. Finally, we show that despite the conserved PhoP-dependent regulation, each of the E. coli omptin proteins has differential activity toward a particular substrate, suggesting that each omptin may contribute to resistance to a particular repertoire of host-defense peptides, depending on the particular environment in which each evolved.
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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".