MsNF-YC4 positively regulates root branching and drought resistance in alfalfa by activating MsARF8
Why this work is in the frame
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Bibliographic record
Abstract
The objective of this study was to identify functional genes regulating root branching and drought resistance that could be used in developing drought-tolerant alfalfa ( Medicago sativa L.) cultivars. Heterologously expression of an Arabidopsis orphan gene QQS was found to enhance root branching and drought tolerance in alfalfa. By yeast two-hybid (Y2H) and luciferase complementation imaging (LCI) assay, a transcription factor MsNF-YC4 was confirmed as an endogenous interactor of QQS. We speculated it could play a positive role in regulating alfalfa root branching and drought tolerance. Transgenic alfalfa plants overexpressing MsNF-YC4 were generated by Agrobacterium-mediated transformation. Through RNA sequencing (RNA-seq), we noticed that the abscisic acid and auxin signaling pathways were affected in the MsNF-YC4 overexpressing plants. Consistently, exogenous application of indoleacetic acid also enhanced root branching and drought tolerance of alfalfa seedlings. Further, MsNF-YC4 was found to activate the transcription of MsARF8 by yeast one-hybrid (Y1H) and dual-luciferase (LUC) reporter Assay. Silencing of MsARF8 by antisense oligonucleotide (as-ODN) method suppressed both root branching and drought tolerance of alfalfa seedlings. Collectively, we prove that an endogenous transcription factor MsNF-YC4 interacts with foreign protein QQS, and by activating MsARF8 to regulate alfalfa root branching and drought resilience. Our study also provides a regulatory pathway for drought tolerant alfalfa breeding.
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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 | 0.001 | 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 it