High temperature enhances anthocyanin coloration in Asiatic hybrid lily flowers via upregulation of the MYB12 positive regulator
Bibliographic record
Abstract
Although high atmospheric temperatures suppress anthocyanin accumulation in most plant species, we show that high temperatures accelerate anthocyanin pigmentation in flower tepals of Asiatic hybrid lilies (Lilium spp.). After incubation at high temperatures (35 °C) for two days, anthocyanin color became deeper in the most of tepal parts of two Asiatic hybrid lily cultivars, although the basal parts of ‘Montreux’ tepals and top parts of 'Toronto' outer tepals were whitened. Environmental stimuli often affect the expression of R2R3-MYB positive regulators that control anthocyanin biosynthesis. Although their expression is often suppressed by hot temperatures in other species, the expression of lily MYB12 in tepals was upregulated by high temperatures. MicroRNA828 (miR828), which suppresses the action of MYB12 post-transcriptionally, exhibited reduced accumulation levels under high temperature, indicating that miR828 regulation is involved in MYB12 upregulation. In addition, transcription levels of MYB12, estimated by unspliced MYB12 transcript accumulation, were also activated by high temperatures. Thus, both suppressed miR828 accumulation and increased MYB12 transcription are likely to be involved in MYB12 activation at high temperatures. In the whitened basal parts of ‘Montreux’ tepals at 35 °C, expression of bHLH2 was severely suppressed while that of MYB12 was not affected. The present results demonstrate that plants display diverse responses to hot climatic conditions and shed new light on anthocyanin regulation under various environmental conditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".