<i>Arabidopsis</i> bHLH60 can regulate leaf development by interacting with and counteracting the AS1-AS2 complex to affect <i>BP1</i> expression
Bibliographic record
Abstract
During leaf morphogenesis, various factors interplay to mediate abaxial-adaxial and proximal-distal polarity, along with other factors contributing to organ boundary and leaf expansion. Although significant progress has been made in understanding the genetics of leaf development, there are still gaps in our understanding of leaf morphogenesis. Here, we show that the bHLH60 transcription factor can affect leaf development. Overexpression of bHLH60 leads to pleiotropic phenotypes with increased leaf serration and reduced fertility. A RNA-seq analysis showed that the BREVIPEDICELLUS1 (BP1) gene implicated in leaf development was upregulated as a result of bHLH60 overexpression. Further analysis revealed that bHLH60 directly bound to the BP1 promoter to activate its transcription. Subsequently, bHLH60 interacted with the repressor complex AS1-AS2 and JLO to relieve the inhibition of AS1-AS2 on BP1, thereby indirectly activating the expression of BP1. Genetic analysis indicated that the BP1 mutation partially suppressed the phenotype resulting from bHLH60 overexpression, thereby concluding that the pleiotropic phenotypes of bHLH60-overexpressing plants were partly dependent on BP1. We propose that bHLH60 competes with the AS1-AS2-JLO complex to regulate BP1 expression to modulate leaf development.
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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) | 0.002 | 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".