Nutrients and the Pkh1/2 and Pkc1 Protein Kinases Control mRNA Decay and P-body Assembly in Yeast
Bibliographic record
Abstract
Regulated mRNA decay is essential for eukaryotic survival but the mechanisms for regulating global decay and coordinating it with growth, nutrient, and environmental cues are not known. Here we show that a signal transduction pathway containing the Pkh1/Pkh2 protein kinases and one of their effector kinases, Pkc1, is required for and regulates global mRNA decay at the deadenylation step in Saccharomyces cerevisiae. Additionally, many stresses disrupt protein synthesis and release mRNAs from polysomes for incorporation into P-bodies for degradation or storage. We find that the Pkh1/2-Pkc1 pathway is also required for stress-induced P-body assembly. Control of mRNA decay and P-body assembly by the Pkh-Pkc1 pathway only occurs in nutrient-poor medium, suggesting a novel role for these processes in evolution. Our identification of a signaling pathway for regulating global mRNA decay and P-body assembly provides a means to coordinate mRNA decay with other cellular processes essential for growth and long-term survival. Mammals may use similar regulatory mechanisms because components of the decay apparatus and signaling pathways are conserved.
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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".