Free fatty acid biosynthesis precursors are involved in pollen–stigma interactions in <i>Brassica</i>
Bibliographic record
Abstract
Abstract Self-incompatibility (SI) is a complex molecular mechanism in flowering plants that prevents self-fertilization and promotes outcrossing. We conducted metabolome analysis of ornamental kale (Brassica oleracea var. acephala) pistils following SI and compatible pollination (CP), revealing significant alterations in lipid metabolism, particularly the accumulation of free fatty acid (FFA) metabolites during CP. Treatment of stigmas with acetyl-CoA and malonyl-CoA, key precursors in fatty acid (FA) synthesis, broke down SI and enhanced CP. Conversely, inhibiting acetyl-CoA carboxylase (ACCase), the rate-limiting enzyme in de novo FA synthesis, significantly reduced compatible pollen attachment and tube growth, highlighting the critical role of FA metabolism in mediating pollination success. We identified a novel interaction between the FERONIA (BoFER) receptor kinase and the biotin carboxyl carrier protein 1 (BoBCCP1), a subunit of the ACCase complex. Suppressing the expression of BoBCCP1 in the stigma reduced CP response, suggesting that the FER-BCCP1 module may play a crucial role in regulating FA biosynthesis and determining the outcome of pollen–stigma interactions. Our findings provide new insights into the identification of key metabolic pathways and signaling modules controlling pollen-stigma interactions, and offer a valuable resource for the targeted improvement of Brassica crop breeding.
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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) | 0.001 | 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".