Characterization of Verotoxin-Encoding Phages from <i>Escherichia coli</i> O103:H2 Strains of Bovine and Human Origins
Bibliographic record
Abstract
The objectives of this study were to induce and characterize verotoxin-encoding phages from a collection of 91 verotoxin-producing Escherichia coli (VTEC) O103:H2 strains of human and bovine origins. All the strains carried the vt1 gene, and two carried the vt2 gene as well. The phages were induced by UV irradiation and characterized by DNA restriction fragment length polymorphism (RFLP), genome size, morphology, and Q and P genes, characteristic of lambdoid phages. A total of 32 vt-positive phages were induced and isolated from 31 VTEC O103:H2 strains. Thirty phages were vt1 positive, and two were vt2 positive. Ten of the 30 vt1-positive phages (33.3%) were from cattle strains, and 20 (66.6%) were from human strains. The two vt2-positive phages were from human strains. Phages belonged to 21 RFLP profiles, of which 17 were single-phage profiles and 4 were multiple-phage profiles. The estimated genome size of the phages ranged from 34 to 84 kb. Two phages that were examined by electron microscopy possessed hexagonal heads with long tails, and one had an elongated head with a long tail. The Q and P genes were amplified in all 32 phages, and the Q-stxA(1) gene region yielded an amplicon in 19 phages (59.3%). It is concluded that the VTEC O103:H2 strains of human origin were more readily inducible than those of bovine origin and that the genotypic profiles of verotoxin-encoding phages were highly diverse, as revealed by their RFLP profiles.
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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".