Studies on the production of quorum-sensing signal molecules in<i>Mannheimia haemolytica</i>A1 and other Pasteurellaceae species
Bibliographic record
Abstract
The bioluminescence assay system using Vibrio harveyi reporter strains were used to examine quorum-sensing autoinducer (AI) activity from Mannheimia haemolytica A1 cell-free culture supernatant. We showed that M. haemolytica A1 cell-free culture supernatant contains molecules that can stimulate the quorum-sensing system that regulates the expression of the luciferase operon in V. harveyi. Specifically, M. haemolytica A1 can stimulate only the quorum system 2 but not system 1, suggesting that the culture supernatant only contains molecules similar to AI-2 of V. harveyi. The bioluminescence assay was also used to show that culture supernatants from related Pasteurellaceae organisms, Pasteurella multocida, Pasteurella trehalosi, Actinobacillus suis and Actinobacillus pleuropneumoniae, also contain AI-2-like molecules. This is consistent with the presence of a luxS homolog in the genomes of P. multocida and A. pleuropneumoniae. A luxS homolog was cloned by PCR from M. haemolytica A1 using sequencing data from the ongoing genome sequencing project. The cloned luxS(M.h.) was able to complement AI-2 production in the Escherichia coli DH5alpha luxS mutant. This is the first report of a quorum-sensing activity in M. haemolytica A1 and suggests that this bacterium utilizes this mechanism to regulate expression of genes under specific conditions.
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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) | 0.000 | 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".