The Role of the <i>Arabidopsis</i> Morning Loop Components CCA1, LHY, PRR7, and PRR9 in Temperature Compensation
Bibliographic record
Abstract
A defining, yet poorly understood characteristic of the circadian clock is that it is buffered against changes in temperature such that the period length is relatively constant across a range of physiologically relevant temperatures. We describe here the role of PSEUDO RESPONSE REGULATOR7 (PRR7) and PRR9 in temperature compensation. The Arabidopsis thaliana circadian oscillator comprises a series of interlocking feedback loops, and PRR7 and PRR9 function in the morning loop. The prr7 prr9 double mutant displays a unique phenotype that has not been observed before in other Arabidopsis clock mutants. In the prr7 prr9 mutant, the effects of temperature are overcompensated, apparently due to hyperactivation of the transcription factors CIRCADIAN CLOCK ASSOCIATED1 (CCA1) and LATE ELONGATED HYPOCOTYL (LHY). Inactivation of CCA1 and LHY fully suppresses the overcompensation defects of prr7 prr9 mutants and rescues their long period phenotype. Overcompensation in prr7 prr9 mutants does not rely on FLOWERING LOCUS C, a previously identified gene required for temperature compensation. Together, our results reveal a role of PRR7 and PRR9 in regulating CCA1 and LHY activities in response to ambient temperature.
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) | 0.001 | 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".