The <i>JAW-TCP-FUL</i> genetic axis triggers an early reorientation of cell anisotropy to initiate and drive fertilization-dependent fruit elongation in Arabidopsis
Bibliographic record
Abstract
Abstract In angiosperms, the ovary grows and develops into a fruit after fertilization, and the seeds are formed within to ensure reproductive success. Although genetic regulators suppressing fertilization-independent fruit growth or parthenocarpy have been identified in the Brassicaceae model Arabidopsis thaliana , the fertilization-dependent activator of fruit growth has not been elucidated. Here, we show that the miR319-regulated TCP transcription factors (JAW-TCPs) directly activate the transcription of the FRUITFULL ( FUL ) gene and promote fruit morphogenesis. By activating FUL , JAW-TCPs indirectly repress the four valve-margin specifying genes SHATTERPROOF1 , SHATTERPROOF2 , INDEHISCENT and ALCATRAZ in the valves. Mutating these genes suppresses defects caused by the combined loss of JAW-TCPs and FUL . Through extensive confocal imaging studies, we deciphered the cellular basis of JAW-TCP function revealing that JAW-TCPs promote fruit elongation by triggering the reorientation of cell anisotropy along the length axis at an early growth stage after fertilization. Our study uncovers a fertilization-dependent genetic module driving fruit elongation and sets the stage to identify other genetic regulators in this pathway.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".