Genomic Evolution in <i>Oryza</i>: The Role of Novel Genetic Elements
Bibliographic record
Abstract
The genus Oryza , encompassing both domesticated and wild rice species, serves as a model system for studying genomic evolution due to its diverse genetic background and ecological adaptations. This study investigates the role of novel genetic elements in the genomic evolution of Oryza , focusing on the processes of diploidization, transposon activity, and de novo gene origination. By analyzing orthologous genomic sequences, chloroplast genomes, and structural variations across multiple Oryza species, the study uncovers the dynamics of genome size variation, the emergence of new protein-coding genes, and the adaptive evolution of chloroplast genes. The findings reveal that transposable elements, particularly LTR retrotransposons, significantly contribute to genome size variation and that de novo genes play a crucial role in protein diversity. Additionally, the adaptive evolution of chloroplast genes facilitates the adaptation of rice species to diverse ecological habitats. These insights enhance the understanding of the genomic mechanisms underlying the evolution and domestication of rice, providing valuable information for crop improvement strategies.
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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".