Stabilizing selection and mitochondrial heteroplasmy in the Canada lynx (<i>Lynx canadensis)</i>
Bibliographic record
Abstract
Mitochondrial DNA is commonly used in population genetic studies to investigate spatial structure, intraspecific variation, and phylogenetic relationships. The control region is the most rapidly evolving and largest non-coding region, but its analysis can be complicated by heteroplasmic signals of genome duplication in many mammals, including felids. Here, we describe the presence of heteroplasmy in the control region of Canada lynx ( Lynx canadensis) through intra-individual sequence variation. Our results demonstrate multiple haplotypes of varying length in each lynx, resulting from different copy numbers of the repetitive sequence RS-2 and suggest possible heteroplasmic single nucleotide polymorphisms in both repetitive sequences RS-2 and RS-3. Intra-individual variation was only observed in the repetitive sequences while inter-individual variation was detected in the flanking regions outside of the repetitive sequences, indicating that heteroplasmic mutations are restricted to these repeat regions. Although each lynx displayed multiple haplotypes of varying length, we found the most common variant contained three complete copies of the RS-2 repeat unit, suggesting copy number is regulated by stabilizing selection. While genome duplication offers potential for increased diversity, heteroplasmy may lead to a selective advantage or detriment in the face of mitochondrial function and disease, which could have significant implications for wildlife populations experiencing decline (e.g., bottlenecks) as a result of habitat modification or climate change.
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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) | 0.000 | 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".