Genomic O Island 122, Locus for Enterocyte Effacement, and the Evolution of Virulent Verocytotoxin-Producing<i>Escherichia coli</i>
Bibliographic record
Abstract
The locus of enterocyte effacement (LEE) and genomic O island 122 (OI-122) are pathogenicity islands in verocytotoxin-producing Escherichia coli (VTEC) serotypes that are associated with outbreaks and serious disease. Composed of three modules, OI-122 may occur as "complete" (with all three modules) or "incomplete" (with one or two modules) in different strains. OI-122 encodes two non-LEE effector (Nle) molecules that are secreted by the LEE type III secretion system, and LEE and OI-122 are cointegrated in some VTEC strains. Thus, they are functionally linked, but little is known about the patterns of acquisition of these codependent islands. To examine this, we conducted a population genetics analysis, using multilocus sequence typing (MLST), with 72 VTEC strains (classified into seropathotypes A to E) and superimposed on the results the LEE and OI-122 contents of these organisms. The wide distribution of LEE and OI-122 modules among MLST clonal groups corroborates the hypothesis that there has been lateral transfer of both pathogenicity islands. Sequence analysis of a pagC-like gene in OI-122 module 1 also revealed two nonsynonymous single-nucleotide polymorphisms that could help discriminate a subset of seropathotype C strains and determine the presence of the LEE. A nonsense mutation was found in this gene in five less virulent strains, consistent with a decaying or inactive gene. The modular nature of OI-122 could be explained by the acquisition of modules by lateral transfer, either singly or as a group, and by degeneration of genes within modules. Correlations between clonal group, seropathotype, and LEE and OI-122 content provide insight into the role of genomic islands in VTEC evolution.
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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 | 0.001 | 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".