Editorial: Roles and regulatory mechanisms of ABA in plant development
Bibliographic record
Abstract
Roles and regulatory mechanisms of ABA in plant developmentAs a sesquiterpene phytohormone derived from epoxycarotenoid cleavage, abscisic acid (ABA) is extensively involved in the regulation of various plant growth processes as well as adaptive responses to biotic and abiotic stresses (Nambara and Marion-Poll, 2005;Hirayama and Shinozaki, 2007;Yoshida et al., 2014;Wang et al., 2020).In this special issue "Roles and Regulatory Mechanisms of ABA in Plant Development", 4 articles were published that explore ABA involvement in different developmental processes, covering outstanding advances in the fundamental roles of ABA in diverse plant research fields.Previously, important functions of ABA biosynthetic pathways have been deciphered through molecular-genetic, biochemical, and pharmacological approaches (Koornneef et al., 1982;Giraudat et al., 1992;Gonzaĺez-Guzmań et al., 2002).A core signaling module involving "PYR/PYL/RCAR-PP2C-SnRK2-AREB/ABF" has been proposed and experimentally validated to play key roles in plant ABA signaling (Ma et al., 2009;Cutler et al., 2010).In the ABA signaling pathway, ABA is first recognized by the receptor proteins PYRABACTIN RESISTANCE (PYR)/PYR1-LIKE (PYL)/REGULATORY COMPONENTS OF ABA RECEPTORS (RCAR), and then interact with the clade A protein phosphatases of type 2Cs (PP2Cs).PP2Cs inactivation releases the inhibition on Sucrose non-fermenting 1-related protein kinases 2 (SnRK2) protein kinases that phosphorylate downstream ABA-responsive element binding factors (ABFs) to modulate ABA responses (Fujii et al.,
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.012 | 0.016 |
| Insufficient payload (model declined to judge) | 0.016 | 0.013 |
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".