Lack of mitochondrial DNA divergence between chromosome races of the common shrew, <i>Sorex araneus</i>, in Sweden. Implications for interpreting chromosomal evolution and colonization history
Bibliographic record
Abstract
The common shrew, Sorex araneus, has one of the most variable karyotypes among mammals, displaying numerous chromosome races throughout its distribution. The six chromosome races present in Sweden can be categorized in two different karyotypic groups, the west and north European karyotypic groups (western and northern). Three races belonging to the western group are considered to have arisen through whole arm reciprocal translocations (WARTs). Race formation through this process requires a bottleneck event. In the present study we sequenced a part of the mitochondrial DNA (mtDNA) genome to investigate molecular differences between the chromosome races in Sweden. We found no mtDNA differentiation between the mainland chromosome races or the karyotypic groups. Genetic variation is as large between populations within a race as between populations among the races or karyotypic groups, suggesting that the karyotypic groups might have originated in a common glacial refugium. The noticeable exception is the Oland race, which shows higher mtDNA diversity compared to the other Swedish races, indicating a divergent origin difficult to explain. Mitochondrial DNA variation in Sweden suggests that most haplotypes arose in situ and that the populations has undergone a rapid size expansion. Altogether, the mtDNA data are in agreement with the WART hypothesis, which still holds as the most plausible variant of karyotype evolution for three of the chromosome races of the common shrew in Sweden.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".