Mitogenome sequencing reveals shallow evolutionary histories and recent divergence time between morphologically and ecologically distinct European whitefish (<i>Coregonus</i> spp.)
Bibliographic record
Abstract
The advent of second-generation sequencing has made it possible to quickly and economically generate whole mitochondrial genome (mitogenome) sequences. To date, mitogenome studies of nonmodel organisms have demonstrated increased power for resolving interspecies relationships. We explored an alternate use of such data to recover relationships and population history of closely related lineages with a shallow evolutionary history. Using a GS-FLX platform, we sequenced 106 mitogenomes from the Coregonus lavaretus (Europe) and Coregonus clupeaformis (North America) species complexes to investigate the evolutionary history of the endangered Danish North Sea houting (NSH) and other closely related Danish and Baltic European lake whitefish (ELW). Two well-supported clades were found within both ELW and NSH, probably reflecting historical introgression via Baltic migrants. Although ELW and NSH are not reciprocally monophyletic, they share no haplotypes, suggesting recent, but strong, reproductive isolation. The divergence time between NSH and the geographically closest ELW population was estimated using IMa, assuming isolation with migration and a new mutation rate estimate chosen to avoid time-dependency effects. The estimate of c. 2700 bp was remarkably similar to results obtained using microsatellite markers. Within North American C. clupeaformis, the divergence time between the two lineages (Atlantic and Acadian) was estimated as between 20,000 and 60,000 bp. Under the assumption that NSH and ELW colonized Denmark following the last glacial maximum, Bayesian Serial SimCoal analysis showed consistency with a scenario of long-term stability, resulting from a rapid initial sixfold population expansion. The findings illustrate the utility of mitogenome data for resolving recent intraspecific divergence events and provide evidence for recent reproductive isolation of the phenotypically divergent NSH.
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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 | 0.001 |
| 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".