Identification of putative two-component regulatory systems in the bovine pathogen Mannheimia haemolytica A1, and preliminary characterization of the NarQ/P system
Bibliographic record
Abstract
The complete genome sequence of the bovine pathogen Mannheimia haemolytica A1 was analyzed by blast searches for the presence of two-component regulatory system proteins. Five complete sets of putative two-component systems were identified, and the NarQ/P system was further investigated. in silico analysis of the NarQ and NarP proteins showed features that are typical of the sensor and response regulator proteins. A narP knock-out mutant was constructed. The narP mutant has lost its ability to respond to NaNO(3) in the media and fail to alter the expression of several proteins. One of the proteins that showed increased production in the parent strain in response to NaNO(3) was analyzed by matrix-assisted laser desorption ionization time-of-flight MS. Unexpectedly, the protein was identified to be FbpA, a periplasmic component of the iron transporter system. Sequence analysis of the promoter region of fbpA identified motifs typical for NarP-regulated genes. The expression of the leukotoxin gene was also altered in the narP mutant as shown by Western immunoblot analysis and reverse transcription-PCR.
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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 | 0.001 |
| 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".