An unprecedented small RNA-riboswitch interaction controls expression of a bifunctional pump that is essential for <i>Staphylococcus aureus</i> infection
Bibliographic record
Abstract
SUMMARY Maintaining manganese and iron homeostasis is critical for the human pathogen Staphylococcus aureus . To counteract metal-based host defense strategies (e.g., nutritional immunity, metal poisoning), S. aureus uses a combination of metal-sensing transcription factors and regulatory RNAs to maintain metal homeostasis. In this study, we uncovered an unprecedented interaction between a cis- and a trans-acting regulatory RNA controlling a conditionally essential gene, mntY , encoding a Mn efflux pump. This broadly conserved RNA-RNA interaction between a Fe-responsive sRNA and a Mn-sensing riboswitch allows the integration of Feand Mn-related stresses, notably encountered at the infection site, to fine-tune mntY expression. Remarkably, deletion of the mntY gene is strongly pleomorphic, causing growth defects, altering virulence factor expression, immune evasion, and survival during infection. We demonstrated that MntY is critical for the adaptation of S. aureus to both low and high Mn environments, due to its dual role in metalation of Mn-dependent exoenzymes and Mn detoxification. These findings point to MntY as a promising new therapeutic target to combat multidrug-resistant staphylococcal infections.
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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) | 0.000 | 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".