Analysis of random and specific sequences of nuclear and cytoplasmic DNA in diploid and tetraploid American wild rice species (<i>Oryza</i>spp.)
Bibliographic record
Abstract
A sample of American wild rice and other accessions of the genus Oryza were studied at polymorphic regions of nuclear, mitochondrial, and chloroplastic genomes. First, flow cytometry, genome-specific RAPD markers, and chromosome counting were utilized to verify the original ploidy and classification of 230 accessions studied. Based on these methods, 8% of the accessions were considered to be misclassified either taxonomically or as a result of contamination. Second, a fine resolution analysis was conducted at genomic regions sampled at random by RAPD markers and at specific sites of the chloroplast and mitochondrial DNA by cleaved amplified polymorphic sequence (CAPS) analysis. Phylogenetic trees resulting from phenetic and cladistic analyses of RAPD, cpDNA, and mtDNA polymorphisms were obtained. The results indicated that the American diploid species O. glumaepatula should be considered an individual species, distinct from O. rufipogon, and confirmed that the American tetraploid species (O. alta, O. grandiglumis, and O. latifolia) belong to the O. officinalis complex. The data indicate that these species should still be treated as a group rather than as three distinct species and that their closest relative is a CC-genome species. It was estimated that the diploid and tetraploid American species diverged from O. sativa - O. nivara (AA genome) and CC- and BBCC-genome species, respectively, 20 million years ago.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".