Toxin-antitoxin systems in <i>Listeria monocytogenes</i> : Regulation, stress adaptation, and pathogenesis
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
Background and Aim Toxin-antitoxin (TA) systems contribute to bacterial persistence, stress adaptation, and antibiotic tolerance. While extensively studied in Escherichia coli and Staphylococcus aureus, their functions in Listeria monocytogenes, a major foodborne pathogen, remain poorly defined. This review synthesizes current knowledge of TA systems in L. monocytogenes.Experimental Approach We conducted a comprehensive literature review of TA loci in L. monocytogenes, with comparative analyses to well-characterized systems in other pathogens, and evaluated available methodologies for TA investigation.Key Findings and Conclusions Type II TA modules, notably MazEF, likely regulate stress responses through mRNA cleavage and integration with regulators such as σB and two-component systems. Bioinformatics and comparative data suggest roles in persistence, biofilm formation, and adaptation, though experimental validation is limited. We highlight critical gaps and propose TA systems as potential targets for controlling L. monocytogenes in food safety and clinical settings.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it