Cloning, Expression and Purification of <i>MGG_14095</i> Gene of <i>Magnaporthe grisea</i>
Bibliographic record
Abstract
Magnaporthe grisea is the most harmful pathogen in the world for rice and the main model organism for elucidating the molecular basis of plant fungal disease interaction. Carrying out relevant research of the growth and development of Magnaporthe grisea has a great significance for the control of Magnaporthe grisea . MGG _ 14095 gene is the pathogenic gene of Magnaporthe grisea . The bioinformatics prediction of MGG_14095 protein showed that the isoelectric point (PI) of MGG_14095 protein was 5.72, and the instability index was 50.99, belonging to the acid unstable protein and the α/β hydrolase superfamily, containing the keratinase conservative domain; having obvious transmembrane structure and signal peptide cutting site, belonging to the secretory protein. In this study, the MGG _ 14095 ( 38 ~ 281 ) gene of Magnaporthe grisea was cloned, and the prokaryotic expression system pETM20- MGG _ 14095 ( 38 ~ 28 ) was constructed. We use the stepwise chromatography to purify MGG_14095 protein, and the high-purity soluble target protein was obtained successfully. The results provided for the analysis of MGG_14095(38~281) protein structure, the exploration of pathogenetic mechanism of Magnaporthe grisea and the control of Magnaporthe grisea Certain theoretical and experimental basis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".