The Arabidopsis gene <i>RGO</i> mediates cytokinin responses and increases seed yield
Bibliographic record
Abstract
Abstract A novel gene, At1g77960 , from Arabidopsis thaliana was characterized. At1g77960 transcripts accumulate to very high levels in plants ectopically overexpressing the Golden2-like1 ( GLK1 ) transcription factor and is designated as a R esponse to G LK1 O verexpression ( RGO ) gene. RGO encodes a protein with domains of tandem QH and QN repeats. Transcripts and promoter GUS reporter analyses indicated that RGO is expressed in roots, leaves, stems, floral and siliques tissues but not in seeds. Expression of the RGO:YFP fusion protein demonstrated that RGO is localized to the endoplasmic reticulum. MicroRNA mediated silencing of RGO resulted in severe reductions in vegetative and root growth, delayed flowering and reduced seed yield and viability, suggesting that RGO is essential for plant development. Conversely, ectopic overexpression of RGO resulted in enhanced vegetative growth including increased axillary bud formation and a 20% higher seed yield. Stable overexpression of RGO in Brassica napus also produced a similar increase in seed yield. Cytokinin (CK) response assays including root growth, green calli formation from excised hypocotyls and chlorophyll retention during dark-induced senescence suggest that one role of RGO is to mediate CK responses in plant development. These results suggest that RGO could be a target gene for increasing crop seed yields. One-sentence summary RGO , a novel gene from Arabidopsis, is essential for plant development, mediates CK signaling and increases seed yield in Arabidopsis and rapeseed when overexpressed.
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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) | 0.003 | 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".