Comparative genomics of the <i>Pasteurella multocida</i> toxin
Bibliographic record
Abstract
Pasteurella multocida is a zoonotic pathogen whose genetic heterogeneity is well known. Five serogroups (A, B, D, E, and F) and 16 serotypes of P. multocida have been recognized thus far based on capsular polysaccharide typing and lipopolysaccharide typing, respectively. Progressive atrophic rhinitis in domestic pigs is caused by P. multocida strains containing toxA, which encodes a 146 kDa heat-labile toxin. Among the five serogroups, only some strains of serogroups A and D are toxigenic. In this study, by comparative analyses of the genomes of many strains, it has been shown that toxA is sparsely distributed in P. multocida. Furthermore, full-length homologs of P. multocida toxA were found only in two other bacterial species. It has also been shown that toxA is usually associated with a prophage, and that some strains contain an orthologous prophage but not toxA. Among the toxA-containing prophages that were compared, an operon putatively encoding a type II restriction-modification system was present only in strains LFB3, HN01, and HN06. These results indicate that the selection and maintenance of the heat-labile toxin and the type II restriction-modification system are evolutionarily less favorable among P. multocida strains. Phylogenetic analysis using the alignment- and parameter-free method CVTree3 showed that deduced proteome sequences can be used as effectively as whole/core genome single nucleotide polymorphisms to group P. multocida strains in relation to their serotypes and (or) genotypes. It remains to be determined if the toxA-containing prophages in strains HN01 and HN06 are inducible, and if they can be used for lysogenic transfer of toxA to other bacteria.
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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 | 0.001 |
| 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".