Local adaptation has a role in reducing vulnerability to climate change in a widespread Amazonian forest lizard

The extant genetic variation within and among taxa reflects a long history of diversification and adaptive mechanisms in response to climate change and landscape alterations. However, the velocity of current anthropogenic changes poses an imminent threat to global biodiversity. Understanding how species and populations might respond to global climate change provides valuable information for conservation in the face of these impacts. Here, we use genomic data to look for candidate loci under climate selection and test for genetic vulnerability to climate change in a widespread Amazonian ombrophilous lizard. We found nine populations across Amazonia with a considerable amount of admixture among them. Distinct approaches of genome-environment association analyses recovered 56 candidate SNPs under climatic selection, recovering an east-to-west gradient in the adaptive landscape and showing a signal of local climate adaptation across the species range. According to our results, signals of lo..., , # Local adaptation has a role in reducing vulnerability to climate change in a widespread Amazonian forest lizard

Dataset DOI: [10.5061/dryad.cvdncjtfn](10.5061/dryad.cvdncjtfn)

## Description of the data and file structure

README – Data associated with the manuscript: \"Local adaptation has a role in reducing vulnerability to climate change in a widespread Amazonian forest lizard\"

Authors: André Yves, Josué A.R. Azevedo, Renata M. Pirani, Fernanda P. Werneck.

This dataset includes the output files generated after de-multiplexing and quality filtering of the genomic raw data (available at Dryad – DOI: 10.5061/dryad.ck223mq). These steps were performed using iPyRAD, and the resulting files were used in all subsequent downstream analyses (e.g., sNMF, GEA, genomic offset).

We used the SNPs file generated by iPyRAD and processed it in VCFtools v.0.1.13 to filter out singletons, retain only SNPs present in at least 95% of individuals, apply a minor allele frequency threshold (MAF = 0.05...,