Construction of RNAi Interference Vector of Aedes Mosquito V-ATPA Gene and Its Lethal Effect on Aedes Mosquitoes by Transgenic Chlamydomonas
Bibliographic record
Abstract
Mosquito-borne diseases seriously endanger human life and health all over the world. Among them, the Aedes mosquito plays a very important role in the transmission of diseases. It is a vector insect of dengue fever, Zika virus disease, yellow fever, and Chikungunya disease. Therefore, the control of Aedes mosquito plays an important role in preventing and controlling the above-mentioned infectious diseases. In this study, an RNAi expression vector pMaa7IR / V-ATPAIR of the Aedes mosquito V-ATPA gene was constructed, and the Chlamydomonas reinhardtii was transformed by the glass bead method. The obtained transgenic algae strain was fed to Aedes larvae. The survival rate of Aedes larvae, the time and number of pupations, and the time and number of adult emergences all had a great impact. The V-ATPA RNAi transgenic algae strain has a certain lethal effect on Aedes mosquito. Because microalgae are natural food for mosquito larvae, they are widespread in nature. At present, chlorella, spirulina, Chlamydomonas, and other green algae microalgae can be produced on a large scale in the factory. The technology is mature and the production cost is low. It can be put into closed areas on a large scale for a long time to form dominant algae species. It provides a new idea for biological mosquito killing to prevent the spread of dengue fever, zika virus disease and other malignant infectious diseases.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".