The C-terminal domain of FUSCA3 negatively regulates mRNA and protein levels, and mediates sensitivity to the hormones abscisic acid and gibberellic acid in Arabidopsis
Bibliographic record
Abstract
The transcription factor FUSCA3 (FUS3) controls the transition from the embryonic to the vegetative phase of development by regulating abscisic acid (ABA) and gibberellic acid (GA) levels in Arabidopsis thaliana. In a feedback loop, FUS3 accumulation is negatively and positively regulated by GA and ABA, respectively, by an uncharacterized mechanism. Here, we use a FUS3-GFP construct to show that the level of the FUS3 protein decreases dramatically during mid to late embryogenesis, whereas its mRNA is present at a high level. Deletion studies identify a C-terminal domain (CTD) that negatively regulates mRNA and protein levels, and mediates sensitivity to ABA and GA. Indeed, a CTD-truncated FUS3 variant accumulates at high level, and is insensitive to the destabilizing and stabilizing effects of GA and ABA, respectively. In contrast, fusion of various fragments of the CTD with GFP is sufficient to greatly reduce GFP fluorescence. The GFP-CTD fluorescence can be increased by ABA and paclobutrazol, an inhibitor of GA biosynthesis. Cell-free degradation assays show that FUS3 is a short-lived protein. FUS3 degradation follows the 26S proteasome in vitro and in vivo, and the CTD affects its degradation rate. In contrast to the native form, the CTD-truncated FUS3 is unable to fully rescue the fus3-3 mutant, and is thus required for FUS3 function. In conclusion, this study identifies a CTD that maintains low levels of FUS3 during embryogenesis and early germination, and is required for normal FUS3 function and sensitivity to ABA and GA.
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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 | 0.001 |
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".