Thermosensitivity of translation underlies the mammalian nocturnal-diurnal switch
Bibliographic record
Abstract
Abstract Early mammals were nocturnal until the Cretaceous-Paleogene extinction facilitated their rapid expansion into daytime niches. Diurnality subsequently evolved multiple times, independently, but the mechanisms facilitating this switch are unknown. We found that physiological daily temperature shifts oppositely affect circadian clock rhythms in nocturnal versus diurnal mammals. This occurs through a cell-intrinsic signal inverter, mediated by global differences in protein phosphorylation, and effected at the level of bulk protein synthesis rates, with diurnal translation rate being less thermosensitive than nocturnal. Perturbations that reduce translational initiation or mTOR activity are sufficient to trigger the nocturnal-to-diurnal switch at the cellular, tissue, and organismal scale. Our results suggest a convergent selection pressure to attain diurnality by reducing the effect of temperature-dependent changes in protein synthesis on circadian clocks. One sentence summary Recalibrating the thermosensitivity of protein synthesis drives daytime-selective activity in mammals.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".