Multidrug‐Resistant Virulent <i>Escherichia coli</i> Strains in Cattle: Implications on Food Safety and Public Health
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Escherichia coli inhabit the gastrointestinal tract of mammals, including cattle, where they occur as commensals. However, some strains have evolved as highly virulent pathogens that also harbor a variety of multidrug‐resistant determinants. In the present study, from cattle fecal samples, a total of 636 confirmed E. coli strains were obtained based on the presence of the uidA housekeeping gene. Of the seven antibiotics tested, 120 isolates displayed multiple antibiotic‐resistant (MAR) traits, with two strains (ERO138 and EKL68) showing resistance to six antibiotics. The hlyA (62.5%) was the most prevalent among the MAR isolates. In addition, 11 (9.1%) isolates harbored all four screened virulence genes ( eaeA , stx1 , stx2 , and hlyA ). Seven of the 120 MAR isolates displayed moderate biofilm‐producing properties, and two of these isolates (ERO157 and EKL127) harbored all four virulence genes tested. Pulsed field gel electrophoresis (PFGE) analysis revealed that all 120 MAR isolates clustered into eight groups, displaying high genetic variability. These findings are important for screening and monitoring of diverse E. coli isolates from cattle in the Northwest region of South that harbors virulence and multiple antibiotic resistance traits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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