Roles of RpoN in the resistance of Campylobacter jejuni under various stress conditions
Bibliographic record
Abstract
BACKGROUND: Campylobacter jejuni is a leading foodborne pathogen worldwide. Despite the fastidious nature of C. jejuni growth, increasing numbers of human campylobacteriosis suggest that C. jejuni may possess unique mechanisms to survive under various stress conditions. C. jejuni possesses only three sigma factors (FliA, RpoD, and RpoN) and lacks stress-defense sigma factors. Since FliA and RpoD are dedicated to flagella synthesis and housekeeping, respectively, in this study, we investigated the role of RpoN in C. jejuni's defense against various stresses. RESULTS: Survivability of an rpoN mutant was compared with the wild-type C. jejuni under various stress conditions. While the growth of the rpoN mutant was as comparably as that of the wild type in shaking cultures, the rpoN mutant exhibited significant survival defects when cultured statically. The rpoN mutant was more sensitive to osmotic stress (0.8% NaCl) with abnormally-elongated cell morphology. Compared to the wile type, the rpoN mutant was more susceptible to acid stress (pH 5) and more resistant to hydrogen peroxide. However, the rpoN mutation had little effect on the resistance of C. jejuni to alkaline pH, heat, cold and antimicrobials. CONCLUSIONS: The results demonstrate that RpoN plays an important role in C. jejuni's defense against various stresses which this bacterial pathogen may encounter during transmission to and infection of humans.
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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) | 0.001 | 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".