Differential expression of dual <i>Bt</i> genes in transgene poplar Juba (<i>Populus deltoides</i> cv. ‘Juba’) transformed by two different transformation vectors
Bibliographic record
Abstract
To increase the expression efficiency of the Bt gene in transgenic poplar and expand the insect resistance spectrum, Cry1Ac and Cry3A were simultaneously constructed in two different plant transformation vectors. Two Bt genes on vector p71A68Y71 were separately driven by promoters CAMV35S and CoYMV, and a matrix attachment region (MAR) sequence was added to both sides; in contrast, two Bt genes on vector p05A68A71 were driven by the promoter CAMV35S without a MAR sequence structure. With the agrobacterium mediation method, two vectors transformed the high-quality hybrid clone poplar Juba of Populus deltoides (W. Bartram ex Marshall) and thus produced four transgenic resistant lines. Polymerase chain reaction (PCR) showed that the targeted genes were integrated into the poplar Juba genome. Fluorescence quantitative PCR and enzyme-linked immunosorbent assay techniques were used to detect the transcription abundance and toxic protein expression of the Bt gene in the leaves of eight transgenic leaves. Results show the significant difference in transcription abundance of the two Bt genes between different lines. The transcription abundance of the gene Cry1Ac of the K series lines from vector p71A68Y71 was significantly higher than that of the H series lines from the other vector; however, no significant difference in the transcription abundance of gene Cry3A between the two vectors was observed. The transcription abundance of gene Cry3A was higher than that of gene Cry1Ac. Significant differences in the toxic expression of the two Bt genes existed among the lines but not in the H and K series lines. The Cry3A toxic protein content was much higher than the Cry1Ac toxic protein content in all lines, and the expression of the latter at 0.13 ng·g −1 to 0.69 ng·g −1 was extremely low. The insect-resistant effect of the transgenic lines to lepidoptera pests such as the Hyphantria cunea (Drury) larva was unremarkable, and no significant difference was found in different lines and vectors. The lines strongly resisted coleoptera pests, e.g., Plagiodera versicolora (Laicharting), and their insect-resistant effect was significantly higher than that of the highly resistant trans-Cry3A poplar line CC84. Significant differences were found between different lines, but no significant difference was found between the K and H series lines, which were from different vectors. Trangenic lines H4 and K1 had a higher transcription abundance, toxic protein expression, and lethal effect on P. versicolora than the other lines.
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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 | 0.001 | 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 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".