Molecular Typing and Distribution of <i>Staphylococcus aureus</i> Isolates in Eastern Canadian Dairy Herds
Bibliographic record
Abstract
Macrorestriction analysis of SmaI-digested chromosomal DNA, using pulsed field gel electrophoresis (PFGE) was performed to type and estimate genetic relationships among 288 Staphylococcus aureus isolates recovered from 58 Eastern Canadian dairy herds. In addition, a subset of the collection was phage typed and evaluated for sensitivity to 10 antimicrobial compounds. Of 288 isolates recovered, 29 distinct PFGE types were identified. Based on estimates of genetic relationships, the PFGE types were assigned to six lineage groups, designated A through F. Of all of the isolates, ca. 93% were assigned to lineage groups A, D, or F. In 58.6% of herds, only a single PFGE type was recovered, while the remainder had two to four types. Of the 212 isolates evaluated for antimicrobial resistance, 24.5% were resistant to one or more antimicrobials. Resistance to penicillin (9.9%) was most common, followed by resistance to sulfadimethoxine (7.5%). Isolates resistant to multiple antibiotics were rare. A total of 63% of isolates responded to phages from groups 1 and 3, and 32.8% could not be typed with any of the phage strains used. The other 4.1% belonged to a variety of phage types. Most of the PFGE lineage group A and F isolates corresponded to phage groups 3 and 1, respectively, and most group D isolates were not typeable. PFGE typing had better discriminatory power than phage typing in defining the relatedness of the S. aureus isolates. Distribution of PFGE types and phage types was independent across regions and within herds.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".