Detection of virulence genes and determination of the antimicrobial susceptibility of Escherichia coli isolates with mastitis in Mashhad, Iran – a short communication
Bibliographic record
Abstract
The purpose of this study was to determine the virulence genes and antimicrobial resistance patterns of Escherichia coli isolated from milk samples of cows with bovine mastitis. Forty-seven E. coli isolates from clinical mastitis milk samples, from five dairy farms in Northeast of Iran, were subjected to multiplex PCR to determine virulence genes stx1, stx2, eaeA, hlyA, sta, F4, F17, fliC, and rfbE. In addition, antimicrobial susceptibility was assessed by applying disk diffusion methods. The eaeA and stx1 genes were most frequently detected in 42 (89.3%) and 34 (72.3%) isolates, respectively. However, the least frequent gene was F41 as it was found in only one isolate (2.1%). Furthermore, 9 out of 47 isolates were hlyA positive, and four isolates harbored the sta gene. The antimicrobial susceptibility demonstrated the highest resistance against lincomycin (100%) and neomycin (91.4%). Since these bacteria represent a high-risk pathogen on farms, the emergence of multiple antibiotic-resistant and pathogenic E. coli strains should be of great concern for public health.
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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".