<scp>DNA</scp> <scp>tandem</scp> repeats contribute to the genetic diversity of <i>Brevibacterium aurantiacum</i> phages
Bibliographic record
Abstract
This report presents the characterization of the first virulent phages infecting Brevibacterium aurantiacum, a bacterial species used during the manufacture of surface-ripened cheeses. These phages were also responsible for flavour and colour defects in surface-ripened cheeses. Sixteen phages (out of 62 isolates) were selected for genome sequencing and comparative analyses. These cos-type phages with a long non-contractile tail currently belong to the Siphoviridae family (Caudovirales order). Their genome sizes vary from 35,637 to 36,825 bp and, similar to their host, have a high GC content (~61%). Genes encoding for an immunity repressor, an excisionase and a truncated integrase were found, suggesting that these virulent phages may be derived from a prophage. Their genomic organization is highly conserved, with most of the diversity coming from the presence of long (198 bp) DNA tandem repeats (TRs) within an open reading frame coding for a protein of unknown function. We categorized these phages into seven genomic groups according to their number of TR, which ranged from two to eight. Moreover, we showed that TRs are widespread in phage genomes, found in more than 85% of the genomes available in public databases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".