Establishment and Optimization of ISSR-PCR Reaction System of Morinda officinalis How
Bibliographic record
Abstract
Taking genomic DNA extracted from Morinda officinalis How.leaves as the experimental material,the factors which affected the ISSR-PCR amplification such as suitable concentration for dNTPs and Mg2+,the dosage for Taq DNA polymerase,the primer,template DNA and annealing temperature were selected and optimized.The results showed that the suitable PCR conditions for ISSR-PCR of Morinda officinalis How.were as follows:In the 20 μl PCR reaction volume,0.2 mmol/L dNTPs,2.0 mmol/L Mg2+,1.0 U TaqDNA polymerase,0.5 mol/L primer,50 ng template DNA.The optimal PCR amplification process was:5 minutes at 94 ℃ for predenaturation,then followed by 45 cycles,each with 30 seconds at 94 ℃ for denaturation,45 seconds at 53.4 ℃ for annealing,1 minute at 72 ℃ for extension,finally extension at 72 ℃ for 10 minutes and holding the samples at 4 ℃.The system was applied in the amplification of six varieties of Morinda officinalis How.,indicated the suitability and stability of the system.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".