Bibliographic record
Abstract
Adzuki beans ( Vigna angularis ), as an important edible legume crop, have a wide cultivation base and nutritional value in East Asia. However, during early spring or high-latitude planting, it often suffers from low-temperature stress, which seriously affects seed germination, seedling growth and yield formation. To deeply analyze the response mechanism of adzuki beans to low-temperature stress, this study systematically explored the key regulatory networks of their cold response pathways at the molecular level, and sorted out the low-temperature perception and initial signal transduction mechanisms of adzuki beans, including the dynamic changes of early signal molecules such as calcium signaling (Ca 2+ ), reactive oxygen species (ROS), and nitric oxide (NO). Focusing on the classic ICE-CBF-COR pathway, the expression characteristics of transcription factors such as CBF/DREB, MYB, and bZIP and their regulatory effects on downstream cold resistance genes were analyzed. Further, the epigenetic mechanisms such as DNA methylation and histone modification, as well as the regulatory roles of miRNA and lncRNA in the cold response of adzuki beans were explored. In this study, through the analysis of actual cases, multiple candidate genes with significant differential expression under low-temperature conditions were identified and verified. Combined with qRT-PCR and heterologous overexpression experiments, their potential functions in enhancing cold resistance were revealed. This study provides theoretical support for a deeper understanding of the complex molecular mechanism of adzuki beans' low-temperature response, and also offers key genetic resources and technical foundations for breeding cold-resistant and high-yield varieties.
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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 | 0.001 | 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".