OsSARD1 Orchestrates the Ca<sup>2+</sup>/OsCaM1‐Guided Transcriptional Regulation of <i>OsDREB1A</i>/<i>1B</i>/<i>1H</i> Regulons Under Chilling in Rice
Bibliographic record
Abstract
/CaMs-regulated CALMODULIN-BINDING PROTEIN 60 (CBP60) family protein, regulates the CBF/DREB1 regulon in the chilling response remains unknown in rice. Here, transgenics experiments identified the positive regulation of OsSARD1, OsCaM1-1 and OsDREB1A/1B/1H to chilling in rice seedlings. Furthermore, the in vitro and in vivo interaction assays demonstrated that OsSARD1 was specifically interacted with OsCaM1 in the nucleus of rice cells. OsCaM1 guided the transcriptional activation of OsSARD1 to the downstream targets OsDREB1A/1B/1H through binding to the GAAATTT motif of their promoters in chilling. Genome-wide transcriptomic screening revealed that OsSARD1 and OsDREB1 coregulated 135 cold-regulated (COR) genes with the C-repeat/dehydration-responsive (CRT/DRE) motif in their promoters. These new results indicate that OsCaM1 can interact with and enhance the transcriptional activity of OsSARD1 to the downstream targets OsDREB1A/1B/1H, thus regulating the DREB1s regulons in chilling. Therefore, our findings reveal a novel OsCaM1-OsSARD1-OsDREB1A/1B/1H module in chilling response and a promising genetic engineering application for chilling tolerance in rice.
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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) | 0.002 | 0.001 |
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".