Opposing dominance within a color gene block underpins hybrid plumage signal discordance
Bibliographic record
Abstract
Abstract The divergence of plumage color genes is increasingly recognized as important for speciation in songbirds through its influence on social signaling. However, the behavioral mechanisms underlying the eco-evolutionary feedback that acts across species boundaries is poorly understood. The hybrid zone between Setophaga occidentalis (SOCC) and S. townsendi (STOW) in the Cascade Mountain range provides a natural observatory to test the interplay between genetics, plumage signals, and territoriality in maintaining nascent species boundaries. Recently, we found that selection within a gene block underpinning color variation (ASIP-RALY) has maintained a stable and narrow hybrid zone. Here we investigated the roles of cheek darkness and flank streaking as plumage signals during simulated territorial intrusion, two melanin-based traits underpinned by ASIP-RALY that reflect opposing dominance of SOCC and STOW alleles. We found that both plumage traits act as honest signals of body size in the territorial sex (i.e., males). The opposing dominance effects of ASIP-RALY resulted in plumage signal discordance for heterozygotes, which in turn was associated with reduced territorial performance, a fitness proxy quantified by vocal and physical responses to a decoy intruder. Taken together, this study highlights a behavioral mechanism underlying selection acting on a simple genetic architecture that shapes species boundary despite gene flow.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".