The impact of postglacial marine invasions on the genetic diversity of an obligate freshwater fish, the longnose dace (<i>Rhinichthys cataractae</i>), on the Quebec peninsula
Bibliographic record
Abstract
Postglacial seas are expected to have had significant effects on the genetic structure of populations of obligate freshwater fishes. To assess this influence, mitochondrial DNA variability was evaluated in 32 populations of longnose dace (Rhinichthys cataractae) of the Quebec peninsula located within and outside of the maximum extent of marine invasions of the Champlain and Laflamme seas. Three clades of haplotypes diverging from one to two mutations were defined. Despite this low divergence, a clear and significant spatial genetic structure was observed outside of the extent of marine invasions. However, a higher genetic diversity was observed in populations located within the extent of marine invasions because of the admixture of these clades with an additional lineage restricted almost exclusively to those areas. The low genetic divergence between the main haplotypes suggests a single origin, despite the known presence of this species in various refuges. Marine invasions preventing entry to the peninsula, especially from Atlantic refuge, are proposed as a possible explanation to this particular result. This study is a relevant argument for integrating postglacial marine invasions into postglacial colonization models of freshwater species in the northeastern part of North America.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".