The Chromosomal <i>mazEF</i> Locus of <i>Streptococcus mutans</i> Encodes a Functional Type II Toxin-Antitoxin Addiction System
Bibliographic record
Abstract
Type II chromosomal toxin-antitoxin (TA) modules consist of a pair of genes that encode two components: a stable toxin and a labile antitoxin interfering with the lethal action of the toxin through protein complex formation. Bioinformatic analysis of Streptococcus mutans UA159 genome identified a pair of linked genes encoding a MazEF-like TA. Our results show that S. mutans mazEF genes form a bicistronic operon that is cotranscribed from a σ70-like promoter. Overproduction of S. mutans MazF toxin had a toxic effect on S. mutans which can be neutralized by coexpression of its cognate antitoxin, S. mutans MazE. Although mazF expression inhibited cell growth, no cell lysis of S. mutans cultures was observed under the conditions tested. The MazEF TA is also functional in E. coli, where S. mutans MazF did not kill the cells but rather caused reversible cell growth arrest. Recombinant S. mutans MazE and MazF proteins were purified and were shown to interact with each other in vivo, confirming the nature of this TA as a type II addiction system. Our data indicate that MazF is a toxic nuclease arresting cell growth through the mechanism of RNA cleavage and that MazE inhibits the RNase activity of MazF by forming a complex. Our results suggest that the MazEF TA module might represent a cell growth modulator facilitating the persistence of S. mutans under the harsh conditions of the oral cavity.
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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) | 0.001 | 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) | 0.001 | 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".