Evidence of recent signatures of selection during domestication in an Atlantic salmon population
Bibliographic record
Abstract
Selective breeding practices in Atlantic salmon aquaculture have been carried out intensively since the 1970s. Along with the phenotypic improvement of fish, we expect to observe genomic regions showing evidence of selection for traits related to growth and age at sexual maturation, as well as traits involved in the domestication process. This is mainly linked to the increase in the frequency of favourable alleles at loci that affect the traits of interest in the breeding population. In this study we searched for signatures of selection in the Cermaq Atlantic salmon broodstock, a Mowi strain, which was derived from wild Norwegian populations, and is now farmed in British Columbia, Canada. A 6.5K SNP array was used to genotype 202 fish from the Cermaq population, and the genotypes were compared with four wild populations from Norway. We used three methods based on FST values to detect signatures of selection. Forty four markers showing divergence in allele frequency were identified as outliers by the three detection methods, suggesting the presence of signatures of selection in the Cermaq population relative to their wild counterparts. Markers identified as outliers are associated with molecular functions that could be related to the selection for economically important traits (e.g., growth) as well as the domestication process (e.g., response to pathogens and environmental stressors). Of particular interest were three outlier markers that had been previously associated with grilsing (i.e., early sexual maturation) an undesirable trait, which has been heavily selected against in Atlantic salmon aquaculture. This study provides clear evidence of the presence of signatures of selection and domestication in a farmed Atlantic salmon population.
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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 | 0.001 | 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 | 0.001 |
| 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".