A practical protocol for particle bombardment-mediated transformation of Phyllostachys bamboo suspension cells
Bibliographic record
Abstract
We developed a particle bombardment-mediated transformation protocol in Phyllostachys bamboo by optimizing the growth efficiency of a target cell culture system. Under the optimal condition, i.e. Murashige and Skoog medium containing 680 mg l−1 KH2PO4 and 10 μM Picloram, bamboo suspension cells actively proliferated at ca. 80 ml sedimented cell volume per 100 ml medium in 2 weeks. Log phased cells, i.e. 8 to 13-day-old suspension cells, which showed synchronous cell divisions with uniform morphology, were selected for the bombardment. We found that a target distance, 6 cm was much better for the transient gene expression (222 GUS-positive cells/dish/shot in average) than that of 9 cm (38 GUS-positive cells/dish/shot in average) in the target cells. When the bombardment was carried out using lag phased cells, e.g. 5-d-old cells, no or less GUS-positive cells could be seen. A high generation of stable transgenic bamboo cells was achieved with constructs expressing hygromycin phosphotransferase gene and enhanced fluorescent protein genes namely AcGFP1 and mCherry.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".