Skip to main content
Dryad

A vertebrate adaptive radiation is assembled from an ancient and disjunct spatiotemporal landscape

Cite this dataset

Richards, Emilie (2021). A vertebrate adaptive radiation is assembled from an ancient and disjunct spatiotemporal landscape [Dataset]. Dryad. https://doi.org/10.6078/D1C12S

Abstract

To investigate the origins and stages of vertebrate adaptive radiation, we reconstructed the spatial and temporal histories of adaptive alleles underlying major phenotypic axes of diversification from the genomes of 202 Caribbean pupfishes. On a single Bahamian island, ancient standing variation from disjunct geographic sources was reassembled into new combinations under strong directional selection for adaptation to novel trophic niches of scale-eating and molluscivory. We found evidence for two longstanding hypotheses of adaptive radiation: hybrid swarm origins and temporal stages of adaptation. Using a combination of population genomics, transcriptomics, and genome-wide association mapping, we demonstrate that this microendemic adaptive radiation of trophic specialists on San Salvador Island, Bahamas experienced twice as much adaptive introgression as generalist populations on neighboring islands and that adaptive divergence occurred in stages. First, standing regulatory variation in genes associated with feeding behavior (prlh,cfap20,rmi1) were swept to fixation by selection, then standing regulatory variation in genes associated with craniofacial and muscular development (itga5,ext1,cyp26b1,galr2), and finally the only de novo non-synonymous substitution in an osteogenic transcription factor and oncogene (twist1) swept to fixation most recently. Our results demonstrate how ancient alleles maintained in distinct environmental refugia can be assembled into new adaptive combinations and provide a new framework for reconstructing the spatiotemporal landscape of adaptation and speciation.  

Funding

National Cancer Institute, Award: 5R01DE027052‐02

National Science Foundation, Award: 1749764