Identification of Key Transcription Factors Involved in Root Architecture of Barley
Bibliographic record
Abstract
Root structure plays a key role in the growth, development, nutrient absorption and stress resistance of barley ( Hordeum vulgare L.). In recent years, transcriptomics and functional genomics studies have found that transcription factors are important molecules that regulate the formation and remodeling of root system architecture (RSA), affecting its development by regulating the gene expression network in the process of root initiation, elongation and branching. This study reviewed the main transcription factor families closely related to barley root development, such as NAC, MYB, WRKY and bHLH, and combined with the results of transcriptional expression analysis and functional verification, in-depth discussion of their role in regulating root morphology, and selected representative key transcription factors such as HvNAC005, HvWRKY23 and HvMYB1 as cases to explain their regulatory mechanisms on root development under salt stress, disease stress and phosphorus deficiency. This study hopes to provide theoretical support for the analysis of the molecular regulatory network of barley root traits and provide potential targets for breeding efficient and stress-resistant barley varieties.
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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) | 0.002 | 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".