Development of Insect-resistant Transgenic Rice with <i>cry1Ac1</i> Gene
Bibliographic record
Abstract
In the present study, the transgenic rice “Xiushui 134” with cry1Ac1 was developed by Agrobacterium mediated transformation method. Confirmed by PCR, all the 12 independent transformants were cry1Ac1 -positive plants. Using semi-quantitative reverse transcription PCR (RT-PCR), the cry1Ac1 gene expression could be detected in all independent transformants. Using real time quantitative PCR (qPCR) analysis, we found that 3 out of 12 transformants harbored a single copy cry1Ac1 gene. In order to study the integration site, the flanking sequences of these three transformants were amplified by thermal asymmetric interlaced (TAIL)-PCR. The result showed that the T-DNA of one of them inserted into genes interspace on the rice chromosome 2, about 2.4 kb upstream from the Os02G0539500 (Ch.2: 20858661~20860159) gene, and did not disturb other rice functional genes. This trans- formant was used as primary material to self-cross and segregate, and finally we got the homozygous cry1Ac1 lines. The resistance to leaf folder and agronomic traits of the lines were tested in field at natural conditions. The results showed that the homozygous cry1Ac1 rice plants had strong resistance to leaf folder while main agronomic traits were almost unaffected. These results indicate that we have successfully developed homozygous cry1Ac1 lines with highly resistant to leaf folder but main agronomic traits almost the same as controls.
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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".