Comprehensive Hormone Profiling in Developing Arabidopsis Seeds: Examination of the Site of ABA Biosynthesis, ABA Transport and Hormone Interactions
Bibliographic record
Abstract
ABA plays important roles in many aspects of seed development, including accumulation of storage compounds, acquisition of desiccation tolerance, induction of seed dormancy and suppression of precocious germination. Quantification of ABA in the F(1) and F(2) populations originated from crosses between the wild type and an ABA-deficient mutant aba2-2 demonstrated that ABA was synthesized in both maternal and zygotic tissues during seed development. In the absence of zygotic ABA, ABA synthesized in maternal tissues was translocated into the embryos and partially induced seed dormancy. We also analyzed the levels of ABA metabolites, gibberellins, IAA, cytokinins, jasmonates and salicylic acid (SA) in the developing seeds of the wild type and aba2-2. ABA metabolites accumulated differentially in the silique and seed tissues during development. Endogenous levels of SA were elevated in aba2-2 in the later developmental stages, whereas that of IAA was reduced compared with the wild type. These data suggest that ABA metabolism depends on developmental stages and tissues, and that ABA interacts with other hormones to regulate seed developmental processes.
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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) | 0.000 | 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) | 0.001 | 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 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".