Countergradient variation in carotenoid use between sympatric morphs of sockeye salmon (Oncorhynchus nerka) exposes nonanadromous hybrids in the wild by their mismatched spawning colour
Bibliographic record
Abstract
Understanding the mechanisms that decrease gene flow between diverging populations is critical to understanding speciation. Anadromous (sockeye) and nonanadromous (kokanee) morphs of the Pacific sockeye salmon Oncorhynchus nerka spawn sympatrically and interbreed, yet allele frequency differences at neutral loci indicate restricted gene flow. Disruptive natural selection associated with strong selective differences between anadromous and nonanadromous life histories is thought to maintain the genetic differentiation of the morphs. Recently, a putative third morph of O. nerka exhibiting green rather than red breeding colour has been found on the spawning grounds sympatric with sockeye and kokanee. We investigated the ancestry of these green fish in a 2-year controlled breeding study by using previously documented heritable, countergradient variation in red breeding colour to distinguish pure and hybrid morphs. Stabilizing sexual selection for similar red breeding colour in sockeye and kokanee has led to adaptive differences in the efficiency of carotenoid uptake between the morphs given differences in carotenoid availability between marine and lacustrine habitats. On the same diet, offspring parented by the green fish were intermediate in colour and in the concentration of dietary carotenoid pigments in their flesh and skin to those parented by either sockeye or kokanee; they were most similar to those parented by known kokanee × sockeye hybrids. This countergradient variation in carotenoid use results in a genotype-environment mismatch in nonanadromous hybrids that exposes them by their breeding colour on the spawning grounds. Given that red colour is important in mate choice, sexual selection will almost certainly reduce reproductive opportunities for these hybrids and promote sympatric divergence of these incipient species.
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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 | 0.000 | 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".