Virus‐induced gene silencing as a tool for functional studies in <i>Cleome violacea</i>
Why this work is in the frame
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Bibliographic record
Abstract
Premise Cleomaceae is emerging as a promising family to investigate a wide range of phenomena, such as C 4 photosynthesis and floral diversity. However, functional techniques are lacking for elucidating this diversity. Herein, we establish virus‐induced gene silencing (VIGS) as a method of generating functional data for Cleome violacea , bolstering Cleomaceae as a model system. Methods We leveraged the sister relationship of Cleomaceae and Brassicaceae by using constructs readily available for Arabidopsis thaliana to provide initial information about the feasibility of VIGS in C . violacea . We then developed endogenous constructs to optimize VIGS efficiency and viability for fruit development. Results PHYTOENE DESATURASE was successfully downregulated in C . violacea using both heterologous and endogenous constructs. The endogenous construct had the highest degree of downregulation, with many plants displaying strong photobleaching. FRUITFULL ‐treated plants were also successfully downregulated, with a high rate of survival but less effective silencing; only a small percentage of survivors showed a strong phenotype. Discussion Our optimized VIGS protocol in C . violacea enables functional gene analyses at different developmental stages. Additionally, C . violacea is amenable to heterologous knockdown, which suggests that a first pass using non‐endogenous constructs is a possible route to test additional species of Cleomaceae.
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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 | 0.001 |
| 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