PCR Detection System for Genetically Modified Rice and Its Application in Genetic Breeding
Bibliographic record
Abstract
A developed CTAB method and magnetic beads automatic extraction method were used to extract DNA from rice seed.Specific primers for PCR detection of genetically modified rice were designed to amplify endogenous SPS gene sequence and constructing specific segments,ThST 3 gene and Ubiquitin promoter,and corresponding detection methods were developed.Results of PCR amplification of SPS gene indicated that both the developed CTAB method and magnetic beads automatic extraction method were useful for DNA extraction from genetically modified rice seed and the sold rice seed.Results of amplification of the constructing specific segments(TheST 3-Ubi) indicated that the developed method was useful to detect the transgenic rice Theli seed,and the absolute and relative limit of detection(LOD) of the method got to 17.3×10-2ng and 0.41% respectively.The developed PCR method can detect transgenic rice Theli seed specially and detective sensitivity.And the method can satisfy the need of qualitative detection for genetically modified rice.Establishment of PCR Detection System can be used for marker-assisted selection(MAS) breeding.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".