The repetitive DNA landscape in the <i>brizantha</i> agamic complex of <i>Urochloa</i> P. Beauv.
Bibliographic record
Abstract
Urochloa P. Beauv. (formerly classified as Brachiaria (Trin.) Griseb .) is a genus of African perennial grasses that is extensively cultivated in tropical countries for cattle nutrition. Three of the most economically relevant species, Urochloa brizantha, Urochloa decumbens, and Urochloa ruziziensis, form the brizantha agamic complex, which includes allopolyploid series with distinct subgenomes. Investigating the composition and organization of repetitive DNA, a major component of grass genomes, can provide insights into their genomic relationships and evolutionary history. This study aimed to characterize the repetitive DNA landscape of selected Urochloa species belonging to the b rizantha agamic complex; identify and compare major repeat classes across species; and evaluate their potential as cytogenetic markers on mitotic chromosomes using fluorescent in situ hybridization (FISH). Clustering analysis revealed that repetitive DNA constitutes 56%–65% of the genomes, with Ty3/Gypsy retrotransposons, particularly the Athila and Retand lineages, representing the most abundant repeat class. Urochloa decumbens exhibited the highest proportion of Ty3/Gypsy retrotransposons, while U. ruziziensis had the highest satellite DNA content. The chromosomal location of representative satellites (UroSat-1a, UroSat-2a, and UroSat-3) was determined in all three species via FISH. UroSat-1a was detected in all centromeres, while UroSat-2a and UroSat-3 signals varied in number and position. Our findings validate the use of satDNA as cytogenetic markers in the brizantha agamic complex of Urochloa and revealed genomic relationships among different species and ploidy levels.
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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 | 0.001 |
| 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) | 0.001 | 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".