Whole transcriptome sequencing analysis of the effect of high hydrostatic pressure on Escherichia coli O157:H7
Bibliographic record
Abstract
High hydrostatic pressure (HHP) is a widely accepted nonthermal technology for ensuring food safety without compromising nutritional values and organoleptic properties. This study investigated the survival and molecular responses of Escherichia coli O157:H7 when it was subjected to HHP. The inactivation of E. coli O157:H7 by HHP was observed at 250 MPa and higher pressures (p < 0.05), but not at 50 MPa and 150 MPa. Whole transcriptome sequencing (RNA-seq) revealed the underlying adaptive responses of E. coli O157:H7 induced by the slightly elevated pressure. Under 50 MPa HHP, twenty-two genes were differentially expressed, and seventeen of these genes were upregulated to maintain normal cell functions. In comparison, most of the differentially expressed genes were downregulated with higher HHP (150 MPa and 250 MPa) treatment, indicating impaired cellular activities. The effectiveness of HHP-based bacterial cell inactivation demonstrated a pressure-dependent manner. Appropriate HHP levels used in bacterial inactivation should be carefully determined for eliminating pathogenic E. coli without induction of the resistance of the food-processing-related stresses.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".