The Late Developmental Pattern of <i>Mu</i> Transposon Excision Is Conferred by a Cauliflower Mosaic Virus 35S–Driven MURA cDNA in Transgenic Maize
Bibliographic record
Abstract
The MuDR element responsible for Mutator activities in maize encodes two genes, mudrA and mudrB. Each encodes multiple transcripts hypothesized to regulate, directly or indirectly, the unique late timing and switch in transposition mechanism during maize development. mudrA, which encodes the MURA transposase, is unstable in bacterial plasmids, a technical problem solved by using phage M13 as a vector to prepare DNA for biolistic transformation. In transgenic maize, a single 2.7-kb mudrA cDNA predicted to encode an 823-amino acid protein is sufficient to catalyze late somatic excisions, despite removal of the native promoter, alternative transcription start sites, known introns, polymorphic 5' and 3' untranslated sequences, and the mudrB gene. These results suggest that post-translational regulation confers Mu excision timing. The transgene is active in lines containing silencing MuDR elements. This suggests that endogenous MuDR transposons do not measurably immunize the host against expression of a homologous transgene.
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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 | 0.000 | 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) | 0.001 | 0.001 |
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".