CONSTANS<i>‐</i>Like and SHORT VEGETATIVE PHASE<i>‐</i>Like Genes Coordinately Modulate TERMINAL FLOWER 2 to Control Dormancy Transitions in <i>Pinus tabuliformis</i>
Bibliographic record
Abstract
With global climate change, understanding how conifers manage seasonal dormancy is increasingly important. This study explores the physiological and molecular processes controlling dormancy transitions in P. tabuliformis, a key species in northern China. Using dormancy simulations and Time-Ordered Gene Co-Expression Network (TO-GCN) analysis, we identified low temperature, rather than photoperiod, as the primary trigger for dormancy release. The PtTFL2 gene functions as both an environmental sensor and dormancy marker, regulated by cold-dependent and independent pathways involving the photoperiod-responsive PtCOL1 and PtSVP-like (SVL) genes. During the autumn-to-winter transition, PtSVL controls PtTFL2 transcription, forming a regulatory complex to fine-tune dormancy. PtCOL1 also directly regulates PtTFL2 and indirectly modulates it by affecting PtSVL expression. The CO-TFL module controls fall dormancy (ecodormancy), while the SVP-TFL module manages the shift to endodormancy in winter. These findings reveal dual regulatory pathways governing dormancy in conifers, offering insights into their adaptation to cold environments and laying the foundation for further research into dormancy mechanisms in gymnosperms.
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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".