Distinguishing genomic homogenization from parapatric speciation in an elevationally replacing pair of <i>Ramphocelus</i> tanagers
Bibliographic record
Abstract
Abstract Geographically connected species pairs with weakly differentiated genomes could either represent cases of genomic homogenization in progress or of incipient parapatric speciation. Discriminating between these processes is difficult because intermediate stages of either may produce weakly differentiated genomes that diverge at few locations. We used coalescent modelling applied to a genome‐wide sample of SNPs to discriminate between speciation with gene flow and genomic homogenization in two phenotypically distinct but genomically weakly diverged species of elevationally replacing Ramphocelus tanagers, forming a hybrid zone in the Andean foothills. We found overwhelming support for a model of genomic homogenization following secondary contact. Simulating under this model suggested that our species pair was differentiated (FST = 0.30) at secondary contact but that most of the genome has rapidly homogenized during 254 Ky of high gene flow towards the present (FST = 0.02). Despite extensive genome‐wide homogenization, plumage remains distinctive with a narrower than expected geographic cline width, indicating divergent selection on colour. We found two SNPs significantly associated with plumage colour, which retain moderately high FST. We conclude that the majority of the genome has fused, but that divergent selection on select loci probably maintains the geographically structured colour differences between these incipient species.
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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 | 0.000 |
| 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".