Emergence and genetic heterogeneity of STEC O113:H4: insights from whole-genome sequences of isolates across human and non-human sources
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
The increased detection of Shiga toxin-producing Escherichia coli (STEC) O113:H4 among human cases in Belgium questions the importance of this serotype as an emerging pathogen. However, detailed information focusing on serotype O113:H4 from human and non-human sources remains limited. We analysed a collection of 140 STEC O113:H4 isolates and their whole genomes, originating from animal hosts (cattle, deer, goats, and sheep), food, and humans, to determine their genetic relationship and assess key virulence genes. All STEC O113:H4 genomes lacked the locus of enterocyte effacement (LEE) and belonged to Pasteur Sequence Type (pST) 367 complex, dominated by pST367 ( ehxA - , stx 2d + ) and pST1729 ( ehxA + , stx 2b + ). Compared to stx 2d + isolates, stx 2b + isolates carried on median more virulence factors, which might thus contribute to enhanced pathogenicity. Besides, humans appear to be infected with distinct subgroups of STEC O113:H4 carrying distinct stx subtypes and originating from potentially different sources: deer, goats, and sheep for STEC carrying stx 2b (alone or in combination with stx 1c ) and mainly cattle for STEC carrying stx 2d . Our results call for improved understanding and continuous surveillance of emerging STEC O113:H4.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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