COLONIZATION, DISPERSAL, AND HYBRIDIZATION INFLUENCE PHYLOGEOGRAPHY O NORTH ATLANTIC SEA URCHINS (STRONGYLOCHNTROTUS DROEBACHIENSIS)
Bibliographic record
Abstract
We used frequency-based and coalescent-based phylogeographic analysis of sea urchin (Strongylocentrotus droebachiensis) mitochondrial DNA (mtDNA) sequences and previously published microsatellite data to understand the relative influence of colonization and gene flow from older (north Pacific) and younger (northeast Atlantic) sea urchin populations on genetic variation in the northwest Atlantic. We found strong evidence of survival of northwestern Atlantic populations in local Pleistocene glacial refugia: most haplotypes were the same as or closely related to Pacific haplotypes, with deep gene genealogies that reflect divergence times within the northwestern Atlantic that are much older than the last glacial maximum. We detected gene flow across the North Atlantic in the form of haplotypes shared with or recently descended from European populations. We also found evidence of significant introgression of haplotypes from a closely related species (S. pallidus). The relative magnitude of gene flow estimated by coalescent methods (and the effective population size differences among oceanic regions) depended on the genetic marker used. In general, we found very small effective population size in the northeastern Atlantic and high trans-Arctic gene flow between the Pacific and northwestern Atlantic. Both analyses suggested significant back-migration to the Pacific. However, microsatellites more strongly reflected older Pacific migration (with similar effective population sizes across the Arctic), whereas mtDNA sequences appeared to be more sensitive to recent trans- Atlantic dispersal (with larger differences in effective population size). These differences across marker types might have several biological or methodological causes, and they suggest caution in interpretation of the results from a single locus or class of markers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".