Functional interactions between TALE and lateral organ boundary transcription factors in regulation of flowering in Arabidopsis thaliana
Bibliographic record
Abstract
In Arabidopsis (Arabidopsis thaliana), floral inductive signals acting on the shoot apical meristem (SAM) cause acquisition of inflorescence meristem (IM) fate.This process depends on PENNYWISE (PNY) and POUND-FOOLISH (PNF).These factors maintain meristem activity essential for flowering by repressing a lateral organ boundary module comprising BLADE-ON-PETIOLE1/2 (BOP1/2) and its downstream effectors: ARABIDOPSIS THALIANA HOMEOBOX GENE1 (ATH1) and KNOTTED1-LIKE FROM ARABIDOPSIS THALIANA6 (KNAT6).Misexpression of this module in pny pnf apices abolishes flowering but the mechanism was unclear.BOP1/2 are BTB-ankryin transcriptional co-activators that require TGACG motif-binding (TGA) basic leucine zipper (bZIP) proteins for recruitment to DNA.A steroid induction system was used to show that BOP1 directly activates ATH1 but binding sites were unknown.My data pinpoint the location of bZIPbinding elements in a segment of the ATH1 promoter that shows responsiveness to BOP1 induction and provide genetic evidence to show that clade I TGA factors are part of this pathway.I also provide evidence that this module perturbs the cross-talk between gibberellin (GA) and jasmonic acid (JA) pathways to abolish flowering in pny pnf mutants.Collectively, these data shed light on the role of lateral organ boundary genes in flowering.
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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".