The GacSâGacA two-component regulatory system of<i>Pseudomonas fluorescens</i>: a bacterial two-hybrid analysis
Bibliographic record
Abstract
The two-component regulatory system comprised of the sensor kinase, GacS, and its response regulator, GacA, is involved in regulation of secondary metabolism and many other aspects of bacterial physiology. Although it is known that the sensor kinases RetS and LadS feed into the GacS/GacA system, the mechanism through which this occurs is unknown, as are the protein-protein interactions in this system. To characterize and define these interactions, we utilized a bacterial two-hybrid system to study the interactions of GacS and GacA from Pseudomonas fluorescens CHA0. Domains of GacA and GacS, identified through bioinformatics, were subcloned and their ability to interact in vivo was investigated. We found that the entire GacA molecule is required for GacA to interact with itself or GacS. Furthermore, the HisKA/HATPase/REC domains of GacS together are responsible for GacS interacting with GacA, while the HAMP domain of GacS is responsible for GacS interacting with itself. In addition, homologs of Pseudomonas aeruginosa hybrid sensor kinases, RetS and LadS, were identified in P. fluorescens, and shown to interact with GacS, but not GacA.
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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) | 0.001 | 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".