The utility of the nontranscribed spacer of 5S rDNA units grouped into unit classes assigned to haplomes – a test on cultivated wheat and wheat progenitors
Bibliographic record
Abstract
Data is presented on the evolutionary dynamics of non-transcribed spacers (NTSs) of 5S rRNA genes in some diploid and polyploid Triticum and Aegilops species. FISH experiments with probes representing different unit classes revealed presence and (or) absence of these sequences in genomes or separate chromosomes of the species. Among the three diploid species only Aegilops speltoides has all of the different unit classes in ribosomal clusters as detected by the probes. Triticum urartu does not have the long D1 signals and Aegilops tauschii does not have the long A1 signals. Both polyploids possess all types of sequences, but because of genome rearrangements after polyploidization there is significant repatterning of single different rDNA unit classes in chromosomal positions when compared with those in diploid progenitors. Additional refined work is needed to ascertain if the sequences in the polyploids are mixed or are located in mini clusters in close proximity to each other. Mantel tests for association between the presence of the FISH signals of the A, B, and D genomes together and separately with the unit class data of the material, i.e., the probes used in FISH, indicated that all signals were associated with their respective probe material, but that there was no association of the unit classes found and the signals to each haplome. All combinations of the partial Mantel tests, e.g., between the A and B haplomes while controlling the effect of the all probes signals, with correlations ranging from 0.48 to 0.79 were all significant. Principal coordinate analysis showed that the signals of most unit class specific probes were more or less equally distant except for the long (S1 and short G1 signals, which were not different, and that the short A1 signals were closely related to the former two, whereas the signals of the long G1 were even less related.
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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 | 0.001 |
| 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".