Genomic Environment Impacts Color Vision Evolution in a Family with Visually Based Sexual Selection
Bibliographic record
Abstract
Many models of evolution by sexual selection predict a coevolution of sensory systems and mate preferences, but the genomic architecture (number and arrangement of contributing loci) underlying these characters could constrain this coevolution. Here, we examine how the genomic organization and evolution of the opsin genes (responsible for tuning color vision) can influence the evolutionary trajectory of sexually selected traits across 15 species in the family Poeciliidae, which includes classic systems for studies of color-mediated sexual selection such as guppies, swordtails, and mollies. Although male coloration patterns and the importance of this coloration in female mate choice vary widely within and among genera, sequencing revealed low variability at amino acid sites that tune Long Wavelength-Sensitive (LWS) opsins in this speciose family. Although most opsin genes in these species appear to have evolved along traditional mutation-selection dynamics, we identified high rates of gene conversion between two of the LWS loci (LWS-1 and LWS-3), likely due to the inverted tandem repeat nature of these genes. Yet members of the subgenus Lebistes appear to resist LWS gene conversion. The LWS opsins are responsible for detecting and discriminating red and orange coloration-a key sexually selected trait in members of the subgenus Lebistes. Taken together these results suggest selection is acting against the homogenizing effects of gene conversion to maintain LWS-1/LWS-3 differences within this subgenus.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 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) | 0.000 | 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 teacher head, 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".