Characterizing the role of the transcriptional adaptor ADA2: an integrating node in the cold response mechanism in «Brachypodium distachyon»
Bibliographic record
Abstract
Freezing stress limits crop productivity and generates substantial economic losses every year. While most temperate cereal crops exhibit some degree of cold tolerance, they require exposure to low, non-freezing temperatures in order to acclimate. This involves the induced expression of cold-regulated (COR) genes. COR gene promoters contain sequences that are recognized by C-repeat Binding Factor 1 (CBF1), a transcription factor that may mediate gene expression via the SAGA (SPT-ADA2-GCN5-acetyltransferase) complex in response to cold stress. The goal of this study was to characterize the function of the adaptor protein ADA2, a member of the SAGA complex that may link CBF1 to chromatin remodeling proteins. Expression analysis confirmed that Brachypodium CBF1 and ADA2 were expressed synchronously in response to cold treatment. Bimolecular fluorescence complementation (BiFC) analysis demonstrated that ADA2 and CBF1 interact directly in planta. These results further support the hypothesis that the SAGA complex exists in Brachypodium and that it may play an important role in mediating the cold response mechanism.
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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 | 0.001 |
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".