Antimicrobial Susceptibility and Clonal Relationship of Tetracycline Resistance Genes in <i>netF</i> -Positive <i>Clostridium perfringens</i>
Bibliographic record
Abstract
NetF-producing type A Clostridium perfringens , a pathotype of C. perfringens , causes necrotizing enteritis in neonatal foals and necrotizing and hemorrhagic enteritis in dogs. Recent core genome multilocus sequence typing study revealed that netF + C. perfringens strains belong to two distinct clonal populations (clonal complexes I and II). There are no reports on susceptibility to antimicrobial drugs of isolates from this pathotype. The susceptibility to 13 different antimicrobial drugs of 49 netF + strains recovered from foals or dogs with necrotizing enteritis in Canada, the United States, and Switzerland was assessed using a commercial microdilution panel designed for anaerobic human pathogens. All isolates were highly susceptible to 12 antimicrobial agents, including all beta-lactams tested, such as penicillin G and ampicillin, as well as clindamycin, chloramphenicol, and metronidazole. The isolates consistently presented a reduced susceptibility or resistance to tetracycline, which was associated with previously described tetracycline resistance genes. Clonal complex I isolates ( n = 41) possessed the tetA408 (P) gene, whereas clonal complex II isolates ( n = 8) possessed the tetA (P)- tetB (P) genes and were more likely to be fully resistant.
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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 | 0.000 |
| 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) | 0.001 | 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".