Genetic diversity of Escherichia coli recovered from the oral cavity of beef cattle and their relatedness to faecal E. coli
Bibliographic record
Abstract
AIMS: To determine the genetic diversity of generic Escherichia coli recovered from the oral cavities of beef cattle and their relatedness to E. coli isolated from the faeces of cattle during pasture grazing and feedlot finishing. METHODS AND RESULTS: A total of 484 E. coli (248 oral and 236 faecal isolates) were obtained from eight beef cattle after 1 and 5 months of grazing on pasture and after 1 and 5 months in a feedlot. The random amplification of polymorphic DNA (RAPD) method was used to genetically characterize these isolates. The RAPD patterns showed that ca 60% of E. coli recovered from the oral cavities and faeces during pasture and feedlot shared a close genetic relatedness. A number of E. coli with unique RAPD types were also found either in the oral cavities or faeces. Most of the E. coli RAPD types recovered from the oral cavities were shared among animals, but there were also RAPD types which were unique to individual animals. The E. coli populations of the oral cavities were genetically diverse and changed over time. CONCLUSIONS: This study indicates that there are large numbers of E. coli carried in the oral cavities of beef cattle and those E. coli are closely related to strains found in the faeces. The oral cavities of cattle harbour a genetically diverse E. coli population. SIGNIFICANCE AND IMPACT OF THE STUDY: The oral cavity may be an important reservoir of enteric pathogens which may transfer to meat during carcass dressing. A better understanding of the molecular ecology of E. coli in cattle would assist the design of approaches to control pathogenic strains during beef production and processing.
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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 | 0.000 | 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".