The evolution of genomic organization through chromosomal rearrangements in Arctic charr (<i>Salvelinus alpinus</i>)
Bibliographic record
Abstract
Chromosomal rearrangements (CRs) can play an important role in evolutionary diversification by preserving linkage among favourable alleles through reduced recombination and/or by reducing hybrid fitness due to genomic incompatibilities. Our goal was to determine to what extent CRs contribute to known patterns of genetic variation in Arctic charr ( Salvelinus alpinus). To address this goal, we compared genetic linkage maps to identify whole arm CRs and smaller scale structural variants (SVs) such as translocations/transpositions and inversions found in groups of populations that reflect the temporal sequence of geographic isolation events. If CRs contribute to genetic differentiation, we expected that CRs would be specific to glacial lineages, geographic clusters of populations within lineages, and sympatric morphs. We detected fusions and fissions of whole chromosome arms and SV involving translocations/transpositions of the sex-determining gene ( sdY) and inversions. Several CRs were shared across populations from the Arctic and Atlantic glacial lineages, Canadian and Icelandic populations within the Atlantic lineage, between two Icelandic populations and sympatric morphs within Icelandic populations, suggesting that their origin predates geographic isolation in glacial refugia. Other CRs were specific to single populations, which suggests a more recent origin of these variants in refugia, during post-glacial recolonization and/or in contemporary populations. Thus, CRs contribute relatively little to known patterns of genetic differentiation at different geographic scales but represent a pool of standing genetic variation for evolution.
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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) | 0.000 | 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".