Complex Signaling Networks Underlying Blue-Light-Mediated Floral Transition in Plants
Bibliographic record
Abstract
Blue light (BL) is important in regulating floral transition. In a controlled environment production system, BL can be manipulated easily and precisely in aspects like peak wavelength, intensity, duration, and co-action with other wavelengths. However, the results of previous studies about BL-mediated floral transition are inconsistent, which implies that an in-depth critical examination of the relevant physiological mechanisms is necessary. This review consolidates the recent findings on the role of BL in mediating floral transition not only in model plants, such as Arabidopsis thaliana, but also in crops, especially horticultural crops. The photoreceptors, floral integrator proteins, signal pathways, and key network components involved in BL-mediated floral transition are critically reviewed. This review provides possible explanations for the contrasting results of previous studies on BL-mediated flowering; it provides valuable information to explain and develop BL manipulation strategies for mediating flowering, especially in horticultural plants. The review also identifies the knowledge gaps and outlines future directions for research in related fields.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".