Rapid and reliable identification of rice genomes by RFLP analysis of PCR-amplified <i>Adh</i> genes
Bibliographic record
Abstract
The rice genus (Oryza L.) consists of 24 species with 10 recognized genome types. With the realization of many useful genes in species of wild rice, continuous efforts have been made to understand their genomic composition and relationships. However, the identification of rice genomes has often been difficult owing to complex morphological variation and formation of allotetraploids. Here we propose a rapid and reliable method for identifying rice genomes based on the restriction sites of PCR-amplified Adh genes. The experimental procedure was as follows: (i) amplify a portion of Adh1 and Adh2 genes with the locus-specific PCR primers; (ii) digest PCR products with restriction enzymes that distinguish different genomes; and (iii) run the digested products on 1.4% agarose gel, and photograph. Using various combinations of restriction digestion of the two Adh genes, all of the rice genomes can be identified.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".