Satellitome analysis on <i>Microtus thomasi</i> (Arvicolinae) genome, a mammal species with high karyotype and sex chromosome variations
Bibliographic record
Abstract
The voles of the Microtus thomasi/ Microtus atticus species complex (Arvicolinae) display extensive karyotypic variation, in the number of autosomes and the morphology of sex chromosomes. We analyzed the satellitome of Microtus thomasi and identified 17 satellite DNA (satDNA) families, corresponding to 6.704% of the genome. Homogenization and divergence analyses showed that some satDNA families are more homogeneous, indicative of recent amplification, while others displayed higher variation, suggesting ancient amplification. Twelve of the satDNA families are conserved across Arvicolinae with a substantial variation in the abundance and the composition. These results support the “library” hypothesis, where a shared collection of satDNAs exists across related species, with differential amplification driving species-specific genomic profiles. Localization analysis demonstrated that an increased number of satDNA families are localized in the pericentromeric and the heterochromatic regions of autosomes and sex chromosomes. Our results suggest that the heterochromatin of the X and Y chromosomes co-evolved and that satDNA families might have contributed to the chromosomal rearrangements involved in the karyotypic variation and sex chromosome polymorphism of the chromosomal races. Our study contributes to a deeper understanding of the evolutionary mechanisms underlying karyotype diversification in Microtus species, which exhibit some of the highest rates of karyotypic variation among mammals.
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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".