DNA Extraction and Optimization of ISSR-PCRReaction System for Fritillaria walujewii
Bibliographic record
Abstract
Taking dried leaves of Fritillaria walujewii as material,optimizing a DNA extraction method,establishing and optimizing ISSR-PCR Reaction System.Methods DNA was Extracted by optimized DNA extraction method;The ISSR-PCRreaction system for Fritillaria walujewii was optimized in five levels of five factors(DNA template,My2+,primer,dNTPs and DNA Taq polymerase)by single-factor experiment and in three levels of four factors by orthogonal experiment,and the gradient PCR was used to determine the annealing temperature of primer.Result The optimal PCR(20 μL) mixture contained 0.2 mmol/L dNTP,2.0 mmol/L Mg2+,60-80 ng template DNA,1.2 μmol/L primer,1 U Taq DNA polymerase.The suitable annealing temperature of primer UBC 859 was 50.7 ℃.Conclusion By the method of DNA Extraction,we get high purity template DNA,which can be used for ISSR-PCR amplification.The establishment of ISSR-PCR system could laid foundation for ISSR analysis on studies of germplasm resources and the genetic diversity of Fritillaria walujewii.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".