Evolutionary dynamics of an ancient retrotransposon family provides insights into evolution of genome size in the genus<i>Oryza</i>
Bibliographic record
Abstract
Long terminal repeat (LTR) retrotransposons constitute a significant portion of most eukaryote genomes and can dramatically change genome size and organization. Although LTR retrotransposon content variation is well documented, the dynamics of genomic flux caused by their activity are poorly understood on an evolutionary time scale. This is primarily because of the lack of an experimental system composed of closely related species whose divergence times are within the limits of the ability to detect ancestrally related retrotransposons. The genus Oryza, with 24 species, ten genome types, different ploidy levels and over threefold genome size variation, constitutes an ideal experimental system to explore genus-level transposon dynamics. Here we present data on the discovery and characterization of an LTR retrotransposon family named RWG in the genus Oryza. Comparative analysis of transposon content (approximately 20 to 27,000 copies) and transpositional history of this family across the genus revealed a broad spectrum of independent and lineage-specific changes that have implications for the evolution of genome size and organization. In particular, we provide evidence that the basal GG genome of Oryza (O. granulata) has expanded by nearly 25% by a burst of the RWG lineage Gran3 subsequent to speciation. Finally we describe the recent evolutionary origin of Dasheng, a large retrotransposon derivative of the RWG family, specifically found in the A, B and C genome lineages of Oryza.
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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".