The origin and genetic divergence of “black” kokanee, a novel reproductive ecotype of <i>Oncorhynchus nerka</i>
Bibliographic record
Abstract
Kokanee and sockeye salmon are the freshwater-resident and anadromous forms, respectively, of Oncorhynchus nerka. Unique populations of “black” kokanee are found in Lake Saiko, Japan, and in Anderson and Seton lakes in the southwestern interior of British Columbia. They are distinct from other populations of O. nerka in that black kokanee display black nuptial colouration and they spawn between 20 to 70 m below the surface of lakes in the winter or early spring. Analysis of mitochondrial DNA and nine microsatellite loci supported the hypothesis that black kokanee in Lake Saiko and in Anderson and Seton lakes have had a diphyletic origin resulting from at least two episodes of divergence in the North Pacific basin. Further, black kokanee in the Anderson and Seton lakes system were genetically distinct from sympatric populations of sockeye salmon in Gates and Portage creeks (inlets to Anderson and Seton lakes, respectively) and were distinct from one another. Anderson and Seton lake black kokanee differed dramatically from one another in standard length at maturity, but no differences were found between the two populations in size-adjusted maximum body depth or in gill raker numbers. Independent origins of black kokanee represent novel diversity within O. nerka, are consistent with the importance of parallel evolution in the origin of biodiversity, and suggest that independent management regimes are required for the persistence of black kokanee biodiversity within a physically interconnected lake system.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".