Presence and Diversity of Extended-Spectrum Cephalosporin Resistance Among <i>Escherichia coli</i> from Urban Wastewater and Feedlot Cattle in Alberta, Canada
Bibliographic record
Abstract
A recent preliminary study from our group found that extended-spectrum cephalosporin-resistance determinants can be detected in the majority of composite fecal samples collected from Alberta feedlot cattle. Most notably, bla CTX-M genes were detected in 46.5% of samples. Further isolate characterization identified bla CTX-M-15 and bla CTX-M-27 , which are widespread in bacteria from humans. We hypothesized that Escherichia coli of human and beef cattle origins share the same pool of bla CTX-M genes. In this study, we aimed to assess and compare the genomic profiles of a larger collection of bla CTX-M -positive E. coli recovered from fecal composite samples from Canadian beef feedlot cattle and human wastewater through whole-genome sequencing. The variants bla CTX-M-55 , bla CTX-M-32 , bla CTX-M-27 , bla CTX-M-15 , and bla CTX-M-14 were found in both urban wastewater and cattle fecal isolates. Core genome multilocus sequence typing showed little similarity between the fecal and wastewater isolates. Thus, if the dissemination of genes between urban wastewater and feedlot cattle occurs, it does not appear to be related to the expansion of specific clonal lineages. Further investigations are warranted to assemble and compare plasmids carrying these genes to better understand the modalities and directionality of transfer.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 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".