Nucleotide Second Messenger‐Mediated Regulation of a Muralytic Enzyme in <i>Streptomyces</i>
Bibliographic record
Abstract
Peptidoglycan degradative enzymes have important roles at many stages during the bacterial life cycle, and it is critical that these enzymes be stringently regulated to avoid compromising the integrity of the cell wall. How this regulation is exerted is of considerable interest: promoter-based control and protein-protein interactions are known to be employed; however, other regulatory mechanisms are almost certainly involved. In the actinobacteria, a class of muralytic enzymes - the 'resuscitation-promoting factors' (Rpfs) - orchestrates the resuscitation of dormant cells. In this study, we have taken a holistic approach to exploring the mechanisms governing RpfA function using the model bacterium Streptomyces coelicolor and have uncovered unprecedented multilevel regulation that is coordinated by three second messengers. Our studies show that RpfA is subject to transcriptional control by the cyclic AMP receptor protein, riboswitch-mediated transcription attenuation in response to cyclic di-AMP, and growth stage-dependent proteolysis in response to ppGpp accumulation. Furthermore, our results suggest that these control mechanisms are likely applicable to cell wall lytic enzymes in other bacteria.
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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) | 0.000 | 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 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".