Gibberellin biosynthesis gene ScGA20 oxidase enhances sugarcane growth by modulating genes associated with phytohormone and growth processes
Bibliographic record
Abstract
Sugarcane is a globally significant crop for sugar and energy production, yet its breeding potential is limited by its complex genetic background and restricted genetic diversity. Molecular breeding presents a promising approach to boost sugarcane productivity. Gibberellins (GA) plays a critical role in plant growth and development, with GA20-oxidase being the most crucial enzyme in GA biosynthesis. In this study, we isolated the sugarcane gene encoding GA20-oxidase (ScGA20ox, OR283803) enzyme, a 43.88 kDa hydrophilic protein, and introduced it into sugarcane variety GT42 via biolistics transformation. Transgenic sugarcane expressing Ubi-driven ScGA20ox exhibited elevated GA levels and accelerated growth. Transcriptome analysis revealed that genes associated with plant hormone metabolism and growth-related pathways, including photosynthesis, plant hormone signal transduction, and starch and sucrose metabolism were involved in the GA20ox-mediated growth in sugarcane. This work underscores the potential of GA20ox for enhancing sugarcane yields through transgenic approaches, while advancing our understanding of GA's regulatory role in the growth of this crucial sugar crop.
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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 | 0.000 |
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 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".