<i>procera</i>is a putative DELLA mutant in tomato (<i>Solanum lycopersicum</i>): effects on the seed and vegetative plant
Bibliographic record
Abstract
The procera (pro) mutant of tomato exhibits a well-characterized constitutive gibberellic acid (GA) response phenotype. The tomato DELLA gene LeGAI in the pro mutant background contains a point mutation that results in an amino acid change in the conserved VHVID putative DNA-binding domain in LeGAI to VHEID. This same point mutation is in four different genetic backgrounds exhibiting the pro phenotype, suggesting that this mutation co-segregates with the pro phenotype. Complementation of the mutant with a constitutively expressed wild-type LeGAI gene sequence was not conclusive due to the infertility of transgenic plants. The pro mutation alters tomato branching architecture through differential suppression of axillary bud development, indicating a role for DELLA proteins in the regulation of plant structure. Isolated gib-1 pro double mutant embryo axes, which are unable to synthesize GA, germinate faster than their wild-type counterparts, and exert greater embryo growth potential. The pro mutation is therefore regulating GA responses within the tomato embryo. Transient expression of a LeGAI-GFP (green fluorescent protein) fusion protein in onion epidermis results in its location to the nucleus, and this protein is rapidly degraded by the proteasome in the presence of 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) | 0.001 | 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 | 0.001 |
| 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".