Expression Analysis of miR393 and Target Gene <i>Ve</i> of <i>Solanum torvum</i> Swartz Infected by <i>Verticillium dahliae</i> Kleb
Bibliographic record
Abstract
In this study, Solanum torvum Swartz. was used as material and B-Actin gene and U6 were used as internal references. First, the expression characteristics analysis of miR393 and target gene Ve were performed on the root, stem, leaf, flower and fruit of Solanum torvum Swartz. during flowering and fruiting stage. The strong Verticillium dahliae Kleb. were inoculated into Solanum torvum Swartz. during 5-6 leaf stage, and the control group was treated with ultrapure water. The Solanum torvum Swartz. roots were taken at 0 h, 3 h, 6 h, 12 h, 24 h, 36 h, 48 h and 72 h for expression analysis of infection by Verticillium dahliae Kleb.. The results showed that under normal growth conditions, miR393 and target gene Ve had specific expression patterns in different tissues of Solanum torvum Swartz., and the differential expression was significant. Both miR393 and target gene Ve had the highest expression levels in roots, followed by stems, and had the lowest levels in fruits. After infection by Verticillium dahliae Kleb., both miR393 and target gene Ve had certain expression in different infection periods. The expression of target gene Ve showed an upward tendency with the extension of infection time, and the highest expression level appeared at 48 h, followed by 72 h. While the expression of miR393 showed a downward tendency with the extension of infection time, and the highest expression level appeared at 6 h. The expression of miR393 and target gene Ve showed opposite tendencies in different infection periods. These results provided a foundation for further research on the interaction mechanism between miR393 and target gene Ve and the molecular mechanism of resistance to Verticillium wilt.
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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".