Characterization of a plant-transformation-ready large-insert BIBAC library of<i>Arabidopsis</i>and bombardment transformation of a large-insert BIBAC of the library into tobacco
Bibliographic record
Abstract
Plant-transformation-ready, large-insert binary bacterial artificial chromosome (BIBAC) libraries are of significance for functional and network analysis of large genomic regions, gene clusters, large-spanning genes, and complex loci in the post-genome era. Here, we report the characterization of a plant-transformation-ready BIBAC library of the sequenced Arabidopsis genome for which such a library is not available to the public, the transformation of a large-insert BIBAC of the library into tobacco by biolistic bombardment, and the expression analysis of its containing genes in transgenic plants. The BIBAC library was constructed from nuclear DNA partially digested with BamHI in the BIBAC vector pCLD04541. It contains 6144 clones and has a mean insert size of 108 kb, representing 5.2× equivalents of the Arabidopsis genome or a probability of greater than 99% of obtaining at least one positive clone from the library using a single-copy sequence as a probe. The transformation of the large-insert BIBAC and analyses of the transgenic plants showed that not only did transgenic plants have intact BIBAC DNA, but also could the BIBAC be transmitted stably into progenies and its containing genes be expressed actively. These results suggest that the large-insert BIBAC library, combined with the biolistic bombardment transformation method, could provide a useful tool for large-scale functional analysis of the Arabidopsis genome sequence and applications in plant-molecular breeding.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".