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Table S1. Geographic information, year of collection and molecular form composition of the samples analyzed.

Table S2. Microsatellite loci genotyped.

Table S3. Microsatellite genetic diversity estimates according to collection site.

Table S4. Power and accuracy of the Bayesian clustering analysis implemented by structure (Pritchard et al. 2000) to detect M and S form simulated individuals (= 100 for each form).

Table S5. Isolation by distance model regressions of FST/(1-FST) on logarithm of distance.

Table S6. Pair-wise estimates of FST (below diagonal) and geographic distance (above diagonal, in kilometres) between sampling sites.

Figure S1. Plots between genetic differentiation and expected heterozygosity to detect candidate microsatellite loci under selection according to the method implemented in lositant (Antao et al. 2008).

Figure S2. Graphics of Evanno's ΔK for the different Bayesian clustering analyses implemented by structure.

Figure S3. Bayesian clustering analysis implemented by structure (Pritchard et al. 2000) and spatially explicit analyses implemented by tess (Chen et al. 2007), performed with 10 microsatellite loci.

Figure S4. Plots of DIC values (Y-axis) against Kmax (X-axis) obtained for tess analysis (Chen et al. 2007) under two admixture models (car and bym).

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