Dylan Padilla, Lisa Brady,
and David Skelly
June 21, 2026
Yale Institute for Biospheric Studies
New Haven, Connecticut








In 2018, we assembled a comprehensive dataset of ddRAD samples collected from wood frog populations distributed across 19 wetlands at Yale-Myers forest
We processed the raw reads with ipyrad v.0.9.107 pipeline, using the wood frog reference genome and its annotation
To understand how individuals were genetically related, we estimated admixture proportions and the fixation index (Fst) across our samples.
We inferred the demographic history of the wood frog by employing a composite likelihood approach using fastsimcoal2
We inferred the demographic history of the wood frog by employing a composite likelihood approach using fastsimcoal2
To detect signatures of local adaptation across the genome of the wood frog, we performed a genotype\(\times\)environment association analysis based on a latent factor mixed model
We used the anottation file generated from the wood frog genome annotation described above to extract gene names associated with the candidate loci under selection
Where \(\sigma^2_{GB}\) represents the genetic variance among populations and \(\sigma^2_{GW}\) the additive genetic variance within populations






This genomic signature of selection together with a remarkable phenotypic differentiation strongly suggests that natural selection overcomes the power of genetic drift, even in a landscape characterized by a recent colonization and significant connectivity