The genomic consequences of fisheries collapse in a marine fish
Bibliographic record
Abstract
Abstract The loss of genetic diversity during a population collapse may have important implications for fisheries management and conservation. However, the identification of the underlying changes to genetic diversity can be challenging. The 1990s collapse of the Atlantic cod (Gadus morhua) fishery in the northwest Atlantic, which included the largest population complex known as Northern Cod, raised questions regarding the potential biological consequences for the stock’s genetic diversity. Using low-coverage whole genome sequencing (lcWGS) on collections from the 1990s and 2010s, we detected a decline in genetic diversity of Atlantic cod in the Canadian portion of the species range. A comparison between 1990s and 2010s collections showed less variation in the 2010s, fewer distinguishable genetic clusters, and a significantly lower genetic diversity in the contemporary populations. Our results demonstrate a loss in genetic diversity at the population and individual levels following the fishery collapse and indicate that genetic diversity can be lost even in numerically large populations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".