Down-Regulation of <i>DELLA</i> Genes Is Not Essential for Germination of Tomato, Soybean, and Arabidopsis Seeds
Bibliographic record
Abstract
The relationship between expression of a negative regulator of GA signal transduction (RGL2) belonging to the DELLA gene family and repression of Arabidopsis seed germination has been studied (Lee S, Cheng H, King KE, Wang W, He Y, Hussain A, Lo J, Harberd NP, Peng J [2002] Genes and Development 16: 646-658). There is one DELLA gene (LeGAI) present in tomato (Lycopersicon esculentum Mill.), which is expressed in both vegetative and reproductive tissues. During germination of wild-type tomato seed, there was no decline in the expression of LeGAI in either the embryo or the endosperm. Rather, LeGAI transcripts increased in these tissues following imbibition and remained high during and following germination. A similar increase in LeGAI transcripts occurred in the endosperm and embryo of GA-treated gib-1 mutant seed during and following germination. Likewise in soybean (Glycine max) seed, there was no decline in the expression of two DELLA genes in the radicle before or after germination. Upon reexamination of RGL2 in Arabidopsis seeds, a decline in its expression was noted but only after radicle emergence, i.e. after germination had been completed. Taken together, these data are consistent with GA-induced down-regulation of DELLA genes not being a prerequisite for germination of tomato, soybean, and Arabidopsis seeds.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".