INCREASED SENSITIVITY TO, AND REDUCED PRODUCTION OF, ETHYLENE IN AN ABA-OVERPRODUCING TOMATO MUTANT
Bibliographic record
Abstract
The single-gene male-sterile 7B-1 mutant in tomato (Lycopersicon esculentum Mill.) shows reduced de-etiolation of hypocotyl growth, has an elevated level of endogenous abscisic acid (ABA) and reduced amounts of growth-active gibberellins (GAs), is supersensitive to exogenous ABA, and is resistant to abiotic stresses in light but not in the dark. The existence of crosstalk between light signaling and plant hormones, and the interaction of ABA and GA biosynthetic pathways with ethylene, led us to investigate the possible role of ethylene in the 7B-1 mutant. In the dark, 7B-1 seedlings exhibited the normal triple response to 1-aminocyclopropane–1-carboxylic acid (ACC), an ethylene precursor, similar to the wild type. In light, however, hypocotyl growth of mutant seedlings was more sensitive to ACC but less sensitive to the inhibitors of ethylene’s action, such as silver thiosulfate, than the wild type. The 7B-1 mutant seedlings produced reduced levels of ethylene, which could account for the increased sensitivity to exogenous ACC. The mutant leaf discs also contained higher chlorophyll content and showed greater chlorophyll degradation in response to ACC than the wild type, and these could also be related to low ethylene production by the mutant. Fluridone, an inhibitor of ABA biosynthesis, countered the ACC-induced inhibition of hypocotyl elongation, and it also restored the wild-type phenotype in 7B-1 plants. The results suggest that the reduced de-etiolation of hypocotyl growth and the increased sensitivity of the mutant to ethylene in light are due to reduced ethylene production, which in turn may be related to high endogenous ABA. The data presented support our earlier findings that the 7B-1 mutant has a defect in light perception which affects both hormonal sensitivity and endogenous levels, thereby affecting hypocotyl and shoot growth.
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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 | 0.001 | 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".