Conservation and Purifying Selection of Transcribed Genes Located in a Rice Centromere
Bibliographic record
Abstract
Recombination is strongly suppressed in centromeric regions. In chromosomal regions with suppressed recombination, deleterious mutations can easily accumulate and cause degeneration of genes and genomes. Surprisingly, the centromere of chromosome8 (Cen8) of rice (Oryza sativa) contains several transcribed genes. However, it remains unclear as to what selective forces drive the evolution and existence of transcribed genes in Cen8. Sequencing of orthologous Cen8 regions from two additional Oryza species, Oryza glaberrima and Oryza brachyantha, which diverged from O. sativa 1 and 10 million years ago, respectively, revealed a set of seven transcribed Cen8 genes conserved across all three species. Chromatin immunoprecipitation analysis with the centromere-specific histone CENH3 confirmed that the sequenced orthologous regions are part of the functional centromere. All seven Cen8 genes have undergone purifying selection, representing a striking phenomenon of active gene survival within a recombination-free zone over a long evolutionary time. The coding sequences of the Cen8 genes showed sequence divergence and mutation rates that were significantly reduced from those of genes located on the chromosome arms. This suggests that Oryza has a mechanism to maintain the fidelity and functionality of Cen8 genes, even when embedded in a sea of repetitive sequences and transposable elements.
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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".