Coloring inside the lines: genomic architecture and evolution of a widespread color pattern in frogs
Bibliographic record
Abstract
Summary Traits shared among distantly related lineages are indicators of common evolutionary constraints, at the ecological, physiological or molecular level. The vertebral stripe is a color pattern that is widespread across the anuran phylogeny. Despite its prevalence in the order, surprisingly little is known about the genetic basis and evolutionary dynamic of this color pattern. Here we combine histology, genome- and transcriptome-wide analyses with order-scale phylogenetic comparative analyses to investigate this common phenotype. We show that the vertebral stripe has evolved hundreds of times in the evolutionary history of anurans and is selected for in terrestrial habitats. Using the Ethiopian Ptychadena radiation as a model system, we demonstrate that variation at the ASIP gene is responsible for the different vertebral stripe phenotypes. Alleles associated to these phenotypes are younger than the split between closely related Ptychadena species, thus indicating that the vertebral stripe results from parallel evolution within the group. Our findings demonstrate that this widespread color pattern evolves rapidly and recurrently in terrestrial anurans, and therefore constitute an ideal system to study repeated evolution.
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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 | 0.001 |
| 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".