Stress Resistance and Virulence Gene Profiles Associated with Phylogeny and Phenotypes of Escherichia coli from Cattle
Bibliographic record
Abstract
Seven serogroups of E. coli (Top 7 E. coli) are frequently implicated in foodborne outbreaks in North America, largely due to their carriage of Shiga toxin genes (stx). This study aimed to profile resistance genes and virulence factors (VF), and their potential association with phylogeny and phenotypes of Top 7 E. coli originating from cattle in Canada. 155 Top 7 E. coli isolates previously characterized for heat and acid resistance and biofilm-forming ability were whole genome sequenced and analyzed for phylogeny, VF and stress resistance genes. The 155 E. coli strains belonged to six phylogroups: A (n=32), B1 (n=93), C (n=3), D (n=11), E (n=15), and G (n=1). Different phylogroups were clearly separated on the core genome tree, with strains of the same serotype closely clustered. The carriage of stx and the transmissible locus of stress tolerance (tLST), the extreme heat resistance marker, was mutually exclusive, in 33 and 15 genomes, respectively. A novel O84:H2 strain carrying stx1a was also identified. In total, 70, 41, and 32 VF, stress resistance genes and antibiotic resistance genes were identified. The stress resistance genes included those for metal (n=29), biocides/acid (n=4) and heat (n=8) resistance. All heat-resistance genes and most metal-resistance genes that were differentially distributed among the phylogroups were exclusively in phylogroup A. VF were least and most present in phylogroups A and D, respectively. No specific genes associated with acid resistance or biofilm formation phenotypes were identified. VF were more abundant (P < 0.05) in the non-biofilm forming population and acid-resistant population.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".