Comparison and Improvement of Different Methods of RNA Isolation from Strawberry (Fragria * ananassa)
Bibliographic record
Abstract
Isolation of high-quality RNA from different strawberry tissues is often affected by the presence of high levels of contamination by polysaccharides and phenolic compounds. By the methods of improved CTAB, SDS, and guanidinium thiocyanate, total RNA was isolated from leaves of strawberry. The result indicated that total RNA is of high quality and undegraded by using CTAB. However, it was difficult to isolate total RNA from leaves of strawberry by using guanidinium thiocyanate, and total RNA could be extracted by using SDS with low concentration, impurity and degradation in some degree. After comparing, an improved 3% CTAB3 was used to isolate RNA from tissues of strawberry, and the isolated RNA was good enough for further applications. After RT-PCR, the 699 bp sequence of glucose-6-phosphate dehydrogenase (G6PDH) gene was obtained to identify the quality of total RNA from strawberry. In this experiment, improved 3% CTAB3 method could be regarded as a simple, rapid, economic and convenient method for the RNA isolated from strawberry.
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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".