Genetic Regulation of Pigmentation in <i>Brassica napus</i> Flowers
Bibliographic record
Abstract
This study focuses on the genetic regulation mechanism of flower pigments in Brassica napus , with a particular emphasis on analyzing the roles of anthocyanins and carotenoids in flower color formation. Through metabolomics and RNA sequencing techniques, key genes and metabolites involved in flower color formation were identified, such as BnaA07.PAP2 and BnaA03.ANS genes that regulate red petal coloring, as well as BnaA09.ZEP and BnaC09.ZEP genes that affect orange petals. The regulatory role of these genes in metabolic pathways through transcription factors was revealed, and the effects of epigenetic and environmental factors on pigment formation were explored. The functions of key genes were validated through CRISPR/Cas9 and other techniques. The research results provide a genetic basis for improving the ornamental value of rapeseed, optimizing pollination efficiency, and enhancing stress resistance. At the same time, it also points out the need for further research on complex genetic networks and environmental gene interaction mechanisms in the future.
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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) | 0.001 | 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".