Identification and characterization of ϕH111-1
Bibliographic record
Abstract
Characterization of prophages in sequenced bacterial genomes is important for virulence assessment, evolutionary analysis, and phage application development. The objective of this study was to identify complete, inducible prophages in the cystic fibrosis (CF) clinical isolate Burkholderia cenocepacia H111. Using the prophage-finding program PHAge Search Tool (PHAST), we identified three putative intact prophages in the H111 sequence. Virions were readily isolated from H111 culture supernatants following extended incubation. Using shotgun cloning and sequencing, one of these virions (designated ϕH111-1 [vB_BceM_ϕH111-1]) was identified as the infective particle of a PHAST-detected intact prophage. ϕH111-1 has an extremely broad host range with respect to B. cenocepacia strains and is predicted to use lipopolysaccharide (LPS) as a receptor. Bioinformatics analysis indicates that the prophage is 42,972 base pairs in length, encodes 54 proteins, and shows relatedness to the virion morphogenesis modules of AcaML1 and “Vhmllikevirus” myoviruses. As ϕH111-1 is active against a broad panel of clinical strains and encodes no putative virulence factors, it may be therapeutically effective for Burkholderia infections.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".