Genomic DNA Extraction and AFLP Analysis System Establishment of Caragana microphylla
Bibliographic record
Abstract
The genomic DNA in the fresh leaves of Caragana microphylla was extracted using a modified SDS method,and then an AFLP silver-stained analysis system suitable for C.microphylla was established by optimizing several main factors.We found that the genomic DNA obtained had good purity and integrity for AFLP analysis with mercapto-ethanol in the extracting solution to prevent formation of oxides and PVP to eliminate phenol from genomic DNA.500 ng genomic DNA was digested for 4 h with EcoRⅠand MseⅠrestriction enzymes,ligated to adaptors for 12 h at 16℃,pre-amplified using EcoRⅠ+1 and MseⅠ+1 primers and then amplified using EcoRⅠ+3 and MseⅠ+3 primers.The amplified products were resolved in denaturing ployacrylamide gels and stained with silver.With this system,clear ploymerphic fingerprints were obtained,which can be taken as a base for future study of AFLP for C.microphylla populations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".