Three‐component‐mediated serotype conversion in <i>Pseudomonas aeruginosa</i> by bacteriophage D3
Bibliographic record
Abstract
Bacteriophage D3 is capable of lysogenizing Pseudomonas aeruginosa PAO1 (serotype O5), converting the O-antigen from O5 to O16 and O-acetylating the N-acetylfucosamine moiety. To investigate the mechanism of lysogenic conversion, a 3.6 kb fragment from the D3 genome was isolated capable of mediating serotypic conversion identical to the D3 lysogen strain (AK1380). The PAO1 transformants containing this 3.6 kb of D3 DNA exhibited identical lipopolysaccharide (LPS) banding patterns to serotype O16 in silver-stained SDS-PAGE gels and displayed reactivity to an antibody specific for O-acetyl groups. Further analysis led to the identification of three open reading frames (ORFs) required for serotype conversion: an alpha-polymerase inhibitor (iap); an O-acetylase (oac); and a beta-polymerase (wzybeta). The alpha-polymerase inhibitor (Iap) is capable of inhibiting the assembly of the serotype-specific O5 B-band LPS and allows the phage-encoded beta-polymerase (Wzybeta) to form new beta-linked B-band LPS. The D3 phage also alters the LPS by the addition of O-acetyl groups to the FucNAc residue in the O-antigen repeat unit by the action of the D3 O-acetylase (Oac). These three components form a simple yet elegant system by which bacteriophage D3 is capable of altering the surface of P. aeruginosa PAO1.
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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".