Goldilocks zone of lignin: Two extremes of valve lignification lead to silique indehiscence in <i>Brassicaceae</i>
Bibliographic record
Abstract
The spring-loaded spontaneous seed dispersal mechanism known as dehiscence, has been a critical plant feature for the successful colonization of land by angiosperms. Although advantageous for seed dispersal, spontaneous dehiscence is largely an unfavorable agronomic trait which historically was selected against during selective breeding of crops to increase seed retention. In canola ( Brassica napus ), a major global oil seed crop, spontaneous or harsh weather-induced fruit shattering at maturity could lead to yield losses from 3 to 50%. Here, we show an extraembryonic role for the ABA-responsive transcription factor, ABSCISIC ACID INSENSITIVE-3 (ABI3) in controlling seed dispersal through mediating lignification of the endocarp b (en b ) layer and the lignified layer (LL) of the valves. The resistance created by these lignified layers is critical for valve opening at maturity as the tensile forces generated during silique drying converge on these fortified cell layers to trigger shatter. We further show that ABI3 functions independent of the patterning genes and functions through transcriptional regulation of NAC-domain transcription factors, NST1 and NST3 , to mediate lignin biosynthesis. Our results show that both excessive and complete absence of lignification could prevent the tensile drying forces from breaking open the pod, leading to fruit indehiscence. As a proof-of-concept, we show that BnABI3 overexpression in canola results in highly lignified, robust siliques that are shatter tolerant. Besides uncovering an extraembryonic role for ABI3, this study has identified spatial distribution and abundance of lignin in the silique valve tissue as the key determinants for silique dehiscence.
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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 | 0.000 |
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".