Environmental and anthropogenic factors mediating the functional connectivity of the mesquite lizard along the eastern Trans-Mexican Volcanic Belt

Functional connectivity, the extent to which a landscape facilitates or impedes the dispersal of individuals across the landscape, is a key factor for the survival of species. Anthropogenic activities such as urbanization, agriculture, and roads, negatively impact functional connectivity of most species, particularly low-vagility species like lizards. Here, we examine how a landscape modified by anthropogenic activities affects the functional connectivity, at both broad and fine scales, of a widely distributed generalist lizard Sceloporus grammicus in the eastern Trans-Mexican Volcanic Belt, Mexico. We estimated for the first time the species genetic structure, gene flow, and functional connectivity in agricultural and forest zones using genomic data, a comprehensive landscape characterization, and novel methods including gravity models. Our results showed marked genetic differentiation across the study region but also that functional connectivity is maintained for tens of kilometers de..., See the main manuscript for a detailed method., , # Assembled GBS data (vcf file) of the mesquite lizard Sceloporus grammicus anaylzed.

[https://doi.org/10.5061/dryad.gtht76hvx](https://doi.org/10.5061/dryad.gtht76hvx)

This repository includes the genomic data of the mesquite lizard *Sceloporus gramicus* (95 samples) in **vcf format** (Seloporus_grammicus ddRadSeq obtained).

## Description of the data and file structure

Library preparation and sequencing were performed at the University of Wisconsin Biotechnology Center using the paired-end ddRAD protocol (Peterson et al., 2012) and the restriction enzymes PstI and BfaI. Samples were sequenced on an Illumina NovaSeq line to obtain 151-bp paired reads.

The paired-end ddRAD library for the 95 lizards generated 468,301,806 raw reads. The sequencing lane retained an average of 91.82% of the reads and had an average quality score of 35.5, indicating appropriate sequencing.

We used FASTQC v.0.11.9 to assess data quality and demultiplexed using process_radtags included in Stacks v.2.6. ...