DOI: 10.5061/dryad.z8w9ghxjg
title: Data from: Genomic diversity and structure of a Neotropical microendemic fig tree

description: Genetic diversity is a key component of evolution and unraveling factors
 that promote genetic differentiation in space and time is a central
 question in evolutionary biology. One of the most diverse and ecologically
 important tree genera in tropical forests worldwide is Ficus (Moraceae).
 It has been suggested that, given the great dispersal capacity of
 pollinating fig wasps (Chalcidoidea; Agaonidae), the spatial genetic
 structure, particularly in monoecious fig species, should be weak.
 However, no studies have addressed the factors that determine the genetic
 structure of Ficus species in regions of high geological, geographic, and
 climatic complexity, such as the Mexican Transition Zone. Using nuclear
 single nucleotide polymorphisms (5,311 SNPs) derived from low-coverage
 whole genomes and 17 populations, we analyzed the population genomics of
 Ficus pringlei to characterize neutral and adaptive genetic variation and
 structure and its association with geographic barriers such as the
 Trans-Mexican Volcanic Belt, environmental heterogeneity, and wind
 connectivity. From genomic data of 71 individuals, high genetic diversity,
 and the identification of three genomic lineages were recorded (North,
 South, and Churumuco). The results suggest that genetic variation is
 primarily determined by climatic heterogeneity. Ficus pringlei populations
 from the north and south of the Trans-Mexican Volcanic Belt also exhibited
 minimal genetic differentiation (FST= 0.021), indicating that this
 mountain range may not act as an insurmountable barrier to gene flow. Wind
 connectivity is also highlighted in structuring putative adaptive genetic
 variation, underscoring the intricate complexity of the various factors
 influencing genetic variation in the species. This study provides
 information on the possible mechanisms underlying the genetic variation of
 endemic species of the tropical dry forest of Western Mexico, such as F.
 pringlei.
description: # Data from: Genomic diversity and structure of a Neotropical microendemic
 fig tree The dataset contains genomic data from 71 individuals of Ficus
 pringlei, a tree species found in the tropical dry forest of western
 Mexico. The study aims to investigate the genetic structure and variation
 of F. pringlei and understand the factors influencing it. The researchers
 utilized nuclear single nucleotide polymorphisms (SNPs) to analyze the
 population genomics of the species. The experimental procedures involved
 collecting genetic samples from the individuals and performing SNP
 analysis to characterize both neutral and adaptive genetic variation. The
 researchers examined the association between genetic structure and
 geographic barriers, such as the Trans-Mexican Volcanic Belt, as well as
 environmental factors like climatic conditions. ## Description of the data
 and file structure File 1 Name: 1.0-Fprin_snps_71.vcf.gz. File
 Description: Final filtered vcf for 71 individuals genotyped at 5,311 SNPs
 File 2 Name: 2.0-Fprin_ind_71.csv Description: Individual, site, and
 coordinates, environmental data, MEM, and wind connectivity values between
 individuals for 71 individuals in 1.0-Fprin_snps_71.vcf.gz DATA-SPECIFIC
 INFORMATION FOR: 2.0-Fprin_ind_71.csv 1. Number of variables: 33 2. Number
 of cases/rows: 71 3. Variable List: ID: Number of individuals Name_vcf:
 Name of individual in 1.0-Fprin_snps_71.vcf.gz. Localities: ID of the
 collection locality Individual: ID of individuals Longitude: in decimal
 degrees Latitude: in decimal degrees bio1: annual mean temperature in
 Celsius degree (1910 -2009, Cuervo-Robayo et al., 2014) bio2: annual mean
 diurnal range in Celsius degree (1910 -2009, Cuervo-Robayo et al., 2014)
 bio3: isothermality in percent (1910 -2009, Cuervo-Robayo et al., 2014)
 bio4: temperature seasonality (1910 -2009, Cuervo-Robayo et al., 2014)
 bio5: max temperature of warmest month in Celsius degree (1910 -2009,
 Cuervo-Robayo et al., 2014) bio6: min temperature of coldest month in
 Celsius degree (1910 -2009, Cuervo-Robayo et al., 2014) bio7: annual
 temperature range in Celsius degree (1910 -2009, Cuervo-Robayo et al.,
 2014) bio8: mean temperature of wettest quarter in Celsius degree (1910
 -2009, Cuervo-Robayo et al., 2014) bio9: mean temperature of driest
 quarter in Celsius degree (1910 -2009, Cuervo-Robayo et al., 2014) bio10:
 mean temperature of warmest quarter in Celsius degree (1910 -2009,
 Cuervo-Robayo et al., 2014) bio11: mean temperature of coldest quarter in
 Celsius degree (1910 -2009, Cuervo-Robayo et al., 2014) bio12: annual
 precipitation in millimeters (1910 -2009, Cuervo-Robayo et al., 2014)
 bio13 precipitation of wettest month in millimeters (1910 -2009,
 Cuervo-Robayo et al., 2014) bio14: precipitation of driest month in
 millimeters (1910 -2009, Cuervo-Robayo et al., 2014) bio15: precipitation
 seasonality in percent (1910 -2009, Cuervo-Robayo et al., 2014) bio16:
 precipitation of wettest quarter in millimeters (1910 -2009, Cuervo-Robayo
 et al., 2014) bio17: precipitation of driest quarter in millimeters (1910
 -2009, Cuervo-Robayo et al., 2014) bio18: precipitation of warmest quarter
 in millimeters (1910 -2009, Cuervo-Robayo et al., 2014) bio19:
 precipitation of coldest quarter in millimeters (1910 -2009, Cuervo-Robayo
 et al., 2014) MEM1: first Moran's eigenvector map vector MEM2: second
 Moran's eigenvector map vector MEM3: third Moran's eigenvector
 map vector MEM4: fourth Moran's eigenvector map vector MEM5: fifth
 Moran's eigenvector map vector MEM6: sixth Moran's eigenvector
 map vector MEM7: seventh Moran's eigenvector map vector wind: wind
 connectivity values between individual