High transformation efficiency in Arabidopsis using extremely low Agrobacterium inoculum
Bibliographic record
Abstract
<ns4:p><ns4:italic>Agrobacterium</ns4:italic>-mediated transformation methods have allowed the stable introduction of target genes into the nuclear genomes of recipient plants. Among them, the floral dip approach represents the simplest due to its straightforwardness and high transformation efficiency. In a standard floral dip protocol that most researchers follow, <ns4:italic>Agrobacterium</ns4:italic> cells are grown to stationary phase (OD <ns4:sub>600</ns4:sub>≈2.0) in large cultures and resuspended in inoculation medium to OD <ns4:sub>600</ns4:sub>≥0.8. Here, we tested the effects of low <ns4:italic>Agrobacterium</ns4:italic> inoculum on transformation rate. Our data revealed that the floral dip method still guarantees a relatively high transformation rate in the <ns4:italic>Arabidopsis thaliana</ns4:italic> Col-0 ecotype even with very low <ns4:italic>Agrobacterium</ns4:italic> inoculum (OD <ns4:sub>600</ns4:sub>=0.002). Our finding thus simplifies the floral dipping protocol further, which allows transformation with small bacterial culture and enables high-throughput transformation of large numbers of constructs in parallel.</ns4:p>
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".