A fast, simple, high efficient and one-step generation of composite cucumber plants with transgenic roots by Agrobacterium rhizogenes-mediated transformation
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Agrobacterium rhizogenes -mediated transformation is widely used in different species with various purposes. The development of composite plants (wild-type shoot with transgenic roots) has been a milestone for functional characterization of genes. Previously, composite plants were generated by two steps from inducing of hairy roots to growing in the growth medium. Hairy roots were induced in an induction medium and the growth of composite plants generated were in another different growth medium. The composite plants produced was subject to transplanting. Here, we describe an improved and optimized protocol for generation of composite plant achieved by one-step in cucumber, which has not been reported previously in living plants. Incubation of explants post inoculation to induce transgenic roots and the growth of rooted explants were in the same medium. The primary root of 5-day-old seedling was excised and the slant cut of residual hypocotyl with 1 cm length was inoculated with A. rhizogenes harboring the desired gene construct followed by directly planted into a pot with wet sterile vermiculite. More than 90% of the infected seedlings can produce positive transgenic root. In addition, we further used the one-step transformation protocol to analyze the function of Arabidopsis YAO promoter. The result indicated that p YAO :: GUS was highly conserved expression in whole root and high activity in the root tips. Therefore, a fast, expedient, high efficient, and one-step transformation method of composite cucumber produced is established, which is suitable for promoter functional analysis and other root-related events.
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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 | 0.000 | 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) | 0.000 | 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