Regulatory mechanisms of leaf color change in <i>Acer pictum</i> subsp.<i> mono</i>
Bibliographic record
Abstract
Acer pictum subsp. mono is a colored leaf tree with vital ornamental and economic value. However, insufficient color change and early leaf fall in cities restrict its ornamental value. In this research, green and red leaves from wild A. p. subsp. mono were collected to study the regulatory mechanisms of leaf color change. Through the determination of plant physiological indexes, we found that the photosynthetic pigment content in red leaves decreased significantly compared with green leaves, while the anthocyanin content and antioxidant activity increased significantly compared with green leaves during the leaf color change process. Using transcriptome sequencing, we found more than 5500 differentially expressed genes, most of which were up-regulated. Many of the differentially expressed genes are involved in the anthocyanin metabolic pathway. The expression patterns of 15 key genes were investigated by quantitative real-time polymerase chain reaction. Among these genes, AmDFR and PAL1 are significant genes involved in the anthocyanin metabolic pathway, and CIPKs2, CIPKs6, CMLs1, CMLs38, AmGST1, AmGST2, GPX3, CBF, AmAPX, AmSOD, POD5, AmGR, and PSBY might be stress response genes that indirectly regulated the anthocyanin accumulation. The results showed that these genes play vital roles in the leaf color change of A. p. subsp. mono. This research will be helpful in further study of the molecular regulatory mechanisms of leaf color change and for the improvement of colored leaf plants.
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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".