Geographic distance matrix for Mantel and spatial autocorrelation tests

This file is a square matrix of geographic distance, in kilometers, between 111 wolves. Genalex was used to calculate these distances, using the options 'Genalex --> distance --> geographic --> decimal lat/long, square matrix'. Individuals are in the same order as in the nacanids_111indiv_unrel_noYNP_42Ksnps.tfam file

nacanids_unrel_42Ksnps_CoatColor_wYNP_n33_white.tfam

PLINK formatted TFAM file with coat color genotype for each of 33 wolves. Individuals coded as a 2 are white, individuals coded as a 1 are not white (can be black or gray)

nacanids_111indiv_unrel_noYNP_42Ksnps.tfam

The .tfam file, in PLINK format, that corresponds to nacanids_111indiv_unrel_noYNP_42Ksnps.tped. This file has the sample names for 111 unrelated wolves

nacanids_unrel_42Ksnps_CoatColor_wYNP_n33.tped

PLINK formatted genotypes of 33 individuals used for coat color association test, gentoyped at 42K SNPs. This data set includes 10 Yellowstone wolves which were not included in the main analysis for the paper, but were included for the coat color association

Genetic distance matrix for Mantel and spatial autocorrelation tests

This date file is a square matrix of genetic distance as measured using 42K SNPs and the 111 individual data set. Genetic distance was calculated in PLINK using the '--cluster --distance-matrix' command options. The order of individuals is the same as in the nacanids_111indiv_unrel_noYNP_42Ksnps.tfam file

nonAdmix_nacanids_94indiv_unrel_noYNP_42Ksnps_wEcotypes.tped

The set of all 42,587 SNPs for 94 unrelated wolves, with >50% assignment in structure, in PLINK .tped format.(http://pngu.mgh.harvard.edu/~purcell/plink/

nacanids_111indiv_unrel_noYNP_42Ksnps.tped

The set of all 42,587 SNPs for 111 unrelated wolves, in PLINK .tped format. (http://pngu.mgh.harvard.edu/~purcell/plink/

Bayenv output file

Results file from Bayenv for 94 individuals in six populations for 12 environmental variables. File is the matrix of bayes factors after averaging across ten independent runs. Each row represents a SNP, and each column contains the bayes factor for each environmental variable. BIO1: annual mean temp., BIO2: mean diurnal temp. range, BIO4: temp. seasonality, BIO5: max. temp. of warmest month, BIO6: min. temp. of coldest month), BIO12: annual precipitation, BIO15: precipitation seasonality, BIO19: precipitation of coldest quarter, LC: land cover metric, NDVIM: normalized difference vegetation index, TREE: percentage tree cover, and SRTM: shuttle radar topography metric

nonAdmix_nacanids_94indiv_unrel_noYNP_42Ksnps_wEcotypes.tfam

The corresponding TFAM file for the set of 94 unrelated individuals showing >50% assignment in structure. The first column of each line is the ecotype designation for each sample

BayeScan results with prior odds of 10000

This is the results (fst) file from running BayeScan with prior odds of 10000, with 94 non-admixed individuals and the 42K snp set. Each row represents a different SNP, with the order of the SNPs the same as in the nonAdmix_nacanids_94indiv_unrel_noYNP_42Ksnps_wEcotypes.tped file