A migration-associated supergene reveals loss of biocomplexity in Atlantic cod
Bibliographic record
Abstract
Abstract Intraspecific phenotypic diversity is integral to ecological resilience and the provision of ecosystem services 1 . Chromosome structural variation may underpin intraspecific diversity and complex phenotypes 2 by reducing recombination within supergenes containing linked, co-adapted alleles. Connecting ecologically-relevant phenotypes to genomic variation can enable more precise conservation of exploited marine species by protecting important genetic diversity 3,4 . Here, using genome-wide association analysis of a 12K single nucleotide polymorphism (SNP) array we confirm that an ancient, derived chromosomal rearrangement consisting of two adjacent inversions is strongly associated with migratory phenotype and individual-level genetic structure in Atlantic cod ( Gadus morhua ) across the Northwest Atlantic. The presence of all identified migration-associated loci within this rearrangement indicates that pervasive variation in migration phenotype is in part controlled by a recombination-resistant supergene, facilitating fine-scale individual phenotypic variation within Northern cod. Furthermore, we reconstruct trends in effective population size over the last century, and find genomic signatures of population collapse, and different patterns of population expansion and decline among individuals based on supergene alleles. We demonstrate declines in effective population size consistent with the onset of industrialized harvest (post 1950) and substantially reduced effective size of individuals homozygous for the derived chromosomal rearrangement relative to heterozygous individuals or those homozygous for the ancestral version of this chromosomal region. These results illustrate how chromosomal structural diversity can mediate fine-scale genetic and phenotypic variation in a highly connected marine species, and suggest a loss of biocomplexity from a migration-associated supergene within Northern cod by overfishing.
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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 | 0.000 | 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".