Alteration in the balance between ABA and GA signaling mediates genetic variation in induction and retention of dormancy during seed maturation in wheat
Bibliographic record
Abstract
Induction and retention of dormancy are among the physiological processes that take place during seed maturation; however, the molecular mechanisms underlying these events are poorly understood in wheat. This study revealed that seed maturation in wheat is associated with decreases in abscisic acid (ABA) and gibberellin (GA) levels irrespective of dormancy level exhibited by the seeds mainly via expression of specific ABA ( TaCYP707A 1) and GA ( TaGA3ox2 , TaGA2ox3 and TaGA2ox6 ) metabolism genes. Consistently, ABA to GA level ratio decreased during maturation in both highly dormant and low-dormant seeds with no apparent difference in the ratio of their levels between the two seed samples. Our data, however, showed a close association between the induction and retention of dormancy during seed maturation and modulation of the balance between ABA and GA signaling via expression of specific genes that acts as positive regulators seed response to ABA ( TaPYL5 and TaABI5 ) and GA ( TaGAMyb ). Consistently, the highly dormant and low-dormant seeds exhibited substantial variation in their sensitivity to ABA and GA during their maturation. The findings of this study highlight that genetic variation in induction and retention of dormancy during wheat seed maturation can be mediated by a shift in balance between seed sensitivity to ABA and GA independent of a shift in balance between their levels. • Physiological maturity marks onset of genetic variation in dormancy in wheat seeds. • Induction/retention of dormancy level varies with no change in ABA to GA level ratio. • Seed sensitivity to ABA and GA controls variation in dormancy induction/retention. • Specific ABA and GA signaling genes mediate variation in sensitivity to ABA and GA.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | low |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".