Values Above the Diagonal Are the Approximate Distances Between Sample Areas in Km
Fig. 1S: Analysis of population genetic structure of the whole dataset using the structure algorithm: Inference of the number of genetic clusters (K) in the dataset. Log-likelihood values, ln(XІK), are given for ten independent runs for each value of K.
Table S1: Properties of the microsatellite loci used in this study. A = number of alleles; AR= allelic richness; He = expected heterozygosity; Ho = observed heterozygosity. Loci marked with an asterisk deviated from Hardy-Weinberg proportions at the α=0.05 level after correcting for multiple tests using the False Discovery Rate.
Brocéliande / Lanouée / HardouiNAis / GavreLocus / A / AR / He / Ho / A / AR / He / Ho / A / AR / He / Ho / A / AR / He / Ho
BM1818 / 7 / 6.0 / 0.630 / 0.656 / 6 / 5.7 / 0.752 / 0.860 / 7 / 6.7 / 0.664 / 0.622 / 5 / 5.0 / 0.682 / 0.634
Cer14 / 7 / 5.4 / 0.498 / 0.469 / 6 / 6.0 / 0.725 / 0.820 / 5 / 4.8 / 0.586 / 0.622 / 6 / 5.8 / 0.779 / 0.829
CSPS115 / 5 / 4.4 / 0.486 / 0.391 / 5 / 4.7 / 0.523 / 0.580 / 5 / 4.9 / 0.408 / 0.378 / 6 / 5.7 / 0.579 / 0.561
CSSM14 / 3 / 3.0 / 0.386 / 0.438 / 2 / 2.0 / 0.147 / 0.160 / 3 / 3.0 / 0.238 / 0.222 / 3 / 3.0 / 0.159 / 0.146
CSSM16 / 5 / 5.0 / 0.678 / 0.672 / 5 / 4.6 / 0.387 / 0.400 / 4 / 4.0 / 0.340 / 0.378 / 5 / 5.0 / 0.687 / 0.561
CSSM19 / 8 / 6.8 / 0.711 / 0.703 / 6 / 5.0 / 0.459 / 0.540 / 7 / 6.7 / 0.758 / 0.778 / 5 / 4.8 / 0.667 / 0.805
CSSM22 / 3 / 3.0 / 0.318 / 0.359 / 2 / 2.0 / 0.211 / 0.240 / 2 / 2.0 / 0.437 / 0.378 / 4 / 3.8 / 0.317 / 0.342
CSSM66 / 7 / 6.2 / 0.637 / 0.609 / 8 / 7.2 / 0.711 / 0.720 / 8 / 7.8 / 0.736 / 0.689 / 6 / 5.8 / 0.676 / 0.585
ETH225 / 9 / 8.0 / 0.794 / 0.719 / 8 / 7.9 / 0.842 / 0.760 / 7 / 6.9 / 0.726 / 0.733 / 5 / 5.0 / 0.660 / 0.707
ETH3 / 1 / NA / 0 / 0.000 / 2 / NA / 0.375 / 0.420 / 2 / NA / 0.320 / 0.311 / 1 / NA / 0.000 / 0.000
Haut14 / 7 / 6.5 / 0.757 / 0.641* / 6 / 5.6 / 0.716 / 0.720 / 7 / 6.7 / 0.770 / 0.800 / 9 / 8.7 / 0.812 / 0.732
ILSTS06 / 7 / 6.8 / 0.687 / 0.703 / 6 / 6.0 / 0.718 / 0.700 / 6 / 5.8 / 0.751 / 0.800 / 9 / 8.7 / 0.794 / 0.854
INRA35 / 9 / 8.1 / 0.832 / 0.828 / 7 / 7.0 / 0.760 / 0.720 / 9 / 8.7 / 0.806 / 0.822 / 7 / 7.0 / 0.836 / 0.854
MM12 / 4 / 4.0 / 0.652 / 0.563 / 4 / 3.7 / 0.543 / 0.500 / 4 / 4.0 / 0.721 / 0.533 / 4 / 3.8 / 0.557 / 0.390
average / 5.9 / 5.1 / 0.576 / 0.554 / 5.2 / 4.7 / 0.562 / 0.581 / 5.4 / 5.2 / 0.590 / 0.576 / 5.4 / 5.2 / 0.586 / 0.571
Chambord / Meurthe / Saarland / Wallonia
Locus / A / AR / He / Ho / A / AR / He / Ho / A / AR / He / Ho / A / AR / He / Ho
BM1818 / 6 / 5.4 / 0.651 / 0.630 / 6 / 5.7 / 0.607 / 0.633 / 7 / 7.0 / 0.722 / 0.658 / 8 / 7.1 / 0.775 / 0.833
Cer14 / 8 / 7.3 / 0.669 / 0.674 / 9 / 8.0 / 0.789 / 0.714 / 8 / 7.9 / 0.603 / 0.605 / 11 / 10.2 / 0.782 / 0.750
CSPS115 / 5 / 4.9 / 0.620 / 0.587 / 8 / 7.6 / 0.809 / 0.816 / 7 / 6.9 / 0.735 / 0.737 / 8 / 7.6 / 0.809 / 0.833
CSSM14 / 4 / 3.7 / 0.394 / 0.370 / 3 / 2.7 / 0.079 / 0.082 / 3 / 3.0 / 0.275 / 0.263 / 3 / 2.4 / 0.049 / 0.050
CSSM16 / 4 / 4.0 / 0.622 / 0.630 / 6 / 5.5 / 0.686 / 0.531* / 5 / 4.9 / 0.717 / 0.684 / 5 / 4.8 / 0.541 / 0.617
CSSM19 / 8 / 7.6 / 0.696 / 0.739 / 9 / 8.7 / 0.848 / 0.878 / 9 / 8.9 / 0.837 / 0.737 / 11 / 9.8 / 0.733 / 0.783
CSSM22 / 2 / 2.0 / 0.141 / 0.152 / 3 / 3.0 / 0.435 / 0.408 / 4 / 4.0 / 0.519 / 0.579 / 4 / 4.0 / 0.646 / 0.617
CSSM66 / 7 / 7.0 / 0.782 / 0.739 / 7 / 6.4 / 0.538 / 0.490 / 9 / 9.0 / 0.832 / 0.784 / 10 / 8.7 / 0.751 / 0.667
ETH225 / 8 / 7.8 / 0.673 / 0.696 / 8 / 7.6 / 0.777 / 0.674 / 12 / 11.6 / 0.843 / 0.816 / 11 / 9.4 / 0.826 / 0.783
ETH3 / 3 / NA / 0.217 / 0.217 / 4 / NA / 0.538 / 0.490 / NA / NA / NA / NA / 3 / NA / 0.142 / 0.150
Haut14 / 7 / 6.7 / 0.790 / 0.783 / 6 / 5.7 / 0.725 / 0.735 / 8 / 7.9 / 0.805 / 0.737 / 10 / 9.9 / 0.872 / 0.867
ILSTS06 / 8 / 7.7 / 0.824 / 0.826 / 10 / 9.0 / 0.767 / 0.735 / 10 / 10.0 / 0.879 / 0.971 / 11 / 10.7 / 0.813 / 0.783
INRA35 / 9 / 8.5 / 0.811 / 0.913 / 7 / 6.7 / 0.801 / 0.735 / 7 / 6.9 / 0.783 / 0.868 / 10 / 8.9 / 0.734 / 0.667
MM12 / 4 / 4.0 / 0.513 / 0.478 / 3 / 3.0 / 0.602 / 0.612 / 3 / 3.0 / 0.539 / 0.579 / 3 / 3.0 / 0.664 / 0.633
average / 5.9 / 5.5 / 0.600 / 0.602 / 6.4 / 5.8 / 0.643 / 0.609 / 7.1 / 7.0 / 0.699 / 0.694 / 7.7 / 6.9 / 0.653 / 0.645
Table S2: Genetic distance matrix of pairwise FST values (Weir & Cockerham 1984) below the diagonal. All FST values are significant at < 0.001.
Values above the diagonal are the approximate distances between sample areas in km.
Brocéliande / Lanouée / Hardouinais / Gâvre / Chambord / Meurthe / Saarland / WalloniaBrocéliande / 28 / 26 / 62 / 295 / 660 / 696 / 569
Lanouée / 0.0777 / 24.9 / 81 / 323 / 687 / 722 / 593
Hardouinais / 0.0844 / 0.0533 / 88 / 311 / 670 / 703 / 572
Gâvre / 0.0666 / 0.0845 / 0.0917 / 266 / 643 / 685 / 570
Chambord / 0.0527 / 0.0772 / 0.079 / 0.0386 / 383 / 433 / 353
Meurthe / 0.1424 / 0.1167 / 0.1285 / 0.112 / 0.1078 / 75 / 196
Saarland / 0.1209 / 0.1244 / 0.1136 / 0.1002 / 0.0844 / 0.0706 / 173
Wallonia / 0.1631 / 0.133 / 0.1092 / 0.1301 / 0.133 / 0.1159 / 0.1155