Population genomics and environmental adaptation in the sea scallop, Placopecten magellanicus, detected using RAD-seq derived SNPs and experimental larval rearing
Bibliographic record
Abstract
Understanding the scale of connectivity and adaptation among marine populations can inform fisheries conservation and management. We used a combination of advanced genomic techniques and experimental methods to determine the scale of connectivity and adaptation in the sea scallop, Placopecten magellanicus. Restriction-site Associated DNA sequencing genotyped 7163 SNPs in 245 individuals across 12 populations in the Northwest Atlantic. Subsequent analysis of these data identified a strong separation between populations north and south of Nova Scotia and identified an association between population structure and the coldest temperatures experienced by scallop populations. Common garden experiments on a northern and southern populations found that larvae from the north grew more quickly overall, potentially an adaptive strategy to the northern winter. These observations contribute to growing evidence of fine-scale population structure and adaptation in marine systems and support the hypothesis that a combination of limited dispersal and adaptive differentiation drives sea scallop population structure.
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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) | 0.000 | 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".