Insertion/Deletion-Based Approach for the Detection of <i>Escherichia coli</i> O157:H7 in Freshwater Environments
Bibliographic record
Abstract
Enterohemorrhagic Escherichia coli O157:H7 is responsible for many outbreaks of gastrointestinal illness and hemolytic uremic syndrome worldwide. Monitoring this pathogen in food and water supplies is an important public health issue. Highly conserved genetic markers, which are characteristic for specific strains, can provide direct identification of target pathogens. In this study, we examined a new detection strategy for pathogenic strains of E. coli O157:H7 serotype based on a conserved signature insertion/deletion (CSI) located in the ybiX gene using TaqMan-probe-based quantitative PCR (qPCR). The qPCR assay was linear from 1.0 × 10(2) to 1.0 × 10(7) genome copies and was specific to O157:H7 when tested against a panel of 15 non-O157:H7 E. coli. The assay also maintained detection sensitivity in the presence of competing E. coli K-12, heterologous nontarget DNA spiked in at a 1000-fold and 800-fold excess of target DNA, respectively, demonstrating the assay's ability to detect E. coli O157:H7 in the presence of high levels of background DNA. This study thus validates the use of strain-specific CSIs as a new class of diagnostic marker for pathogen detection.
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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 | 0.002 |
| 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".