Structural analogs of ABA reveal novel features of ABA perception and signaling in Arabidopsis
Bibliographic record
Abstract
Changes in gene expression produced by the application of (+)-abscisic acid (ABA) to Arabidopsis thaliana plants were compared with changes produced by the ABA structural analogs (-)-ABA, (+)-8'-acetylene ABA and (-)-2',3'-dihydroacetylenic abscisyl alcohol. The maximum expression of many rapidly (+)-ABA-induced genes occurred prior to peak hormone accumulation, suggesting negative feedback regulation that may be mediated by the induction of genes encoding PP2C-type protein phosphatases. For most rapidly (+)-ABA-induced genes, expression was delayed in ABA analog treatments although analogs accumulated to higher levels than did (+)-ABA. For each analog, some genes exhibited a hypersensitive response to the analog and some genes were less sensitive to the analog than to (+)-ABA. Variations in the sensitivity of gene expression to (+)-ABA and analogs reflect the different structural requirements of two or more classes of hormone receptors. By using ABA analogs to reveal and confirm weakly (+)-ABA-regulated genes, we estimate that 14% of Arabidopsis genes are ABA-regulated in aerial tissues. Treatments with the analog (+)-8'-acetylene ABA (PBI425) led to the identification of new ABA-regulated genes. As an example, the transcription factor MYBR1 was significantly induced by PBI425, but not by (+)-ABA, and is shown to play a role in ABA signaling by phenotypic analysis of gain-of-function and loss-of-function mutants.
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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 | 0.001 | 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".