Molecular and cytological characterization of 5S rDNA in<i>Oryza</i>species: genomic organization and phylogenetic implications
Bibliographic record
Abstract
We investigated the molecular characteristics and chromosomal organization of 5S rDNA in the genus Oryza, including diploid and tetraploid species. A phylogenetic tree of Oryza species was constructed based on the non-transcribed spacer sequences of 5S rDNA, and some novel relationships were discovered. Specifically, comparative sequence analysis of 5S rDNA in several wild rice species showed unique characteristics inconsistent with the model of concerted evolution: (1) multiple distinct 5S rDNA types were detected within a species, leading to intraspecific divergence of 5S rDNA; (2) multiple identical 5S rDNA types were shared among species, resulting in interspecies clustering of 5S rDNA types; and (3) intraspecific nucleotide diversity was detected within a 5S rDNA class. Our results obtained by fluorescence in situ hybridization revealed that each rice species studied contained only one 5S rDNA locus with two hybridization sites, which were located on either chromosome 7 or chromosome 11. These results suggest that different 5S rDNA classes within the rice genome were arranged together and that one pair of 5S rDNA loci from a diploid progenitor of the tetraploid species might have been lost during evolution. Taken together, our data show that 5S rDNA in rice species is more informative at the gene level than at the chromosome level.
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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 | 0.000 | 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) | 0.001 | 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".