Hierarchical genetic structure in a direct-developing whelk (<i>Buccinum undatum</i>) throughout the western North Atlantic
Bibliographic record
Abstract
Direct-developing marine species lack a pelagic larval phase and are therefore predicted to have limited dispersal capacity and exhibit strong genetic structure over small spatial scales. Nevertheless, empirical work suggests that developmental mode, alone, cannot always explain realized connectivity patterns. We characterized spatial genetic structure within the western North Atlantic lineage of the waved whelk ( Buccinum undatum) , a direct-developing gastropod that is the target of an emerging fishery. We genotyped individuals throughout Atlantic Canada using 1052 single nucleotide polymorphisms, documenting strong hierarchical genetic structuring throughout this region. Overall, pairwise genetic structure estimates were high, with two major genetic clusters separating southwestern and northeastern sites. But more complex patterns emerged at smaller spatial scales. Notably, pairs of sites on deeper offshore habitat exhibited panmixia, despite being separated by up to 100 km, whereas inshore and intertidal populations spaced at comparable distances were strongly genetically divergent. Collectively, our multi-scale analyses revealed that direct developers can exhibit genetic patterns that do not conform to simple geographic expectations. Future exploration of potential depth-variable connectivity is warranted, especially among harvested populations.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".