Identification of Corynebacterium bovis and other Coryneforms Isolated from Bovine Mammary Glands
Why this work is in the frame
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Bibliographic record
Abstract
Bovine mastitis remains the most economically important disease in dairy cows. Corynebacterium bovis, a lipid-requiring Corynebacterium spp., is frequently isolated from the milk of infected mammary glands of dairy cows and is associated with reduced milk production. A total of 212 coryneform bacteria isolated from the milk of dairy cows were obtained from mastitis reference laboratories in the United States and Canada. All isolates had been presumptively identified as Corynebacterium bovis based on colony morphology and growth in the presence of butterfat. Preliminary identification of the isolates was based on Gram stain, oxidase, catalase, and growth on unsupplemented trypticase soy agar (TSA), TSA supplemented with 5% sheep blood, and TSA supplemented with 1% Tween 80. Of the 212 isolates tested, 183 were identified as Corynebacterium spp. based on preliminary characteristics. Of the strains misidentified, one was identified as a yeast, two as Bacillus spp., 11 as Enterobacteriaceae, 18 as staphylococci, one as a Streptococcus spp., and one as an Enterococcus spp. Eighty-seven coryneforms were selected for identification to the species level by direct sequencing of the 16S rRNA gene, the Biolog system and the API Coryne system. Fifty strains were identified as C. bovis by 16S rRNA gene similarity studies: the Biolog and API Coryne systems correctly identified 54.0 and 88.0% of these strains, respectively. The other coryneforms were identified as other Corynebacterium spp., Rhodococcus spp., or Microbacterium spp. These data indicate that the coryneform bacteria isolated from bovine mammary glands are a heterogeneous group of organisms. Routine identification of C. bovis should include Gram-stain, cell morphology, catalase production, nitrate reduction, stimulated growth on 1% Tween 80 supplemented media, and beta-galactosidase production as the minimum requirements.
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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 | 0.000 |
| 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 it