Morphological and phylogenetic evidence for hybridization and introgression in a sea star secondary contact zone
Bibliographic record
Abstract
Abstract. Glacial cycles and other climatic events have been widely invoked as factors promoting divergence, secondary contact, and hybridization between populations of terrestrial organisms, but the origin and fate of secondary contact in the sea is much less well understood. We studied the distribution of morphological and genetic variation in a northwest Atlantic zone of secondary contact between congeneric sea stars of Asterias that probably separated after the Pliocene as part of the trans‐Arctic interchange. These species have similar reproductive biology and can hybridize in the laboratory. However, multivariate analysis of morphological traits scored from sea stars inside and outside the zone of secondary contact clearly indicated two clusters of phenotypes that corresponded to the two taxonomic species. A quantitative analysis of this clustering pattern did not support the hypothesis of a third grouping that might correspond to intermediate hybrid phenotypes. Known F 1 hybrids from laboratory matings grouped with one of the two taxonomic species. However, a survey of mtDNA sequence variation clearly indicated that ∼13% of individuals of one species ( Asterias forbesi ) are descendants of hybridization events that resulted in introgression of haplotypes of Asterias rubens into populations of A. forbesi . We conclude that morphological phenotypes are inadequate to identify hybrids of Asterias and their descendants, and that hybridization and introgression might be common in this secondary contact zone.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".