Multi-locus sequence typing of <i>Streptococcus equi</i> subspecies <i>zooepidemicus</i> strains isolated from cats
Bibliographic record
Abstract
Streptococcus equi subspecies zooepidemicus ( S. zooepidemicus) causes outbreaks of fatal respiratory disease in dog shelters and fatal respiratory and neurologic disease in cat shelters. We conducted multi-locus sequence typing analysis on S. zooepidemicus isolates from 5 Canadian and 3 Israeli cats with severe respiratory and neurologic disease, plus 1 isolate from a clinically normal shelter cat. Our aim was to determine if feline outbreaks are clonal and whether there is commonality between feline and canine strains. ST363 was identified as the causative strain of a Canadian outbreak of S. zooepidemicus-linked disease, and is a double-locus variant of ST173, which was isolated from one of the Israeli cats. ST363 was also isolated from the clinically normal cat, indicative of the potential for enzootic infection in shelters. Strains within the ST173 clonal complex were responsible for 2 large canine outbreaks in the United States and the United Kingdom, as well as the death of 1 cat in the United States outbreak. ST215 was isolated from 2 cats in the Israeli outbreak, and is unrelated to the ST173 complex. We conclude that S. zooepidemicus outbreaks in cat shelters are clonal and that strains within the ST173 clonal complex are pathogenic for both dogs and cats.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".