Genetic Stability and Disease Resistance Analysis of Hrpzpsta Gene in Transgenic Soybean Lines
Bibliographic record
Abstract
This experiment was carried out to evaluate genetic stability and disease resistance in transformed soybean lines with hrpZpsta gene using PCR analysis, southern blotting, real-time quantitative PCR (qRT-PCR) and to analyze the resistance against Phytophthora sojae (P. sojae) and Cercospora sojina (C. sojina) after inoculation. The results obtained using PCR and southern blotting analytical methods showed that exogenous gene functional elements were stably inherited in transgenic soybean and hrpZpsta gene was successfully integrated into the soybean genome in a single copy. Results at high-generation (T7, T8) transgenic lines of hrpZpsta revealed that their relative expression of hrpZpsta gene was the highest in leaves followed by roots, and much lower in stems, flowers, and seeds. Activity change rates of peroxidase (POD), polyphenol oxidase (PPO) and phenylalanine ammonia lyase (PAL) showed that transgenic lines significantly enhanced receptor species. The resistance of transgenic strains T7 and T8 generations against P. sojae was significantly increased with artificial inoculation methods, and the resistance against C. sojina was increased from susceptibility to the level of resistance. Under natural conditions in the field, the response of T8 transgenic lines to C. sojina reached disease resistance level. There were no significant differences in transgenic lines and recipient variety in maturing stage, leaf shape, flower color, plant height, 100-grain weight and quality content, and the two years average yield of plots increased to 11.59% and 8.19%, which significantly higher than recipient cultivar. The current results provide data support for the release of transgenic 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 | 0.000 | 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 | 0.000 |
| 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".