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Table 1.

Country of origin and size of the wolf, dog and wolf x dog hybrid samples analyzed in this study.

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Fig 1.

Principal coordinate analysis of multilocus microsatellite wolf and dog genotype.

(A) First two components of a PCoA computed in GenAlEx [26] of the 39 multilocus microsatellite wolf and dog genotypes. (B) Multilocus microsatellites wolf and dog genotypes projected on the first function of a discriminant PC analysis (DAPC computed in Adegenet [28]). Identification of wolf samples: WBALT = Baltic countries; WCARP: Carpathians; WBALK = Balkans; WDIN = Dinarics; WIBP = Iberian Peninsula; WITA = Italy.

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Fig 2.

Bayesian clustering of dog and wolf samples from different countries genotyped with 39 autosomal microsatellite loci obtained by Structure [29,30] assuming K = 3 and K = 7.

At K = 3 the three clusters are composed by dogs, Italian wolves and by all the other European wolves banded together, while at K = 7 wolves are split into six different geographical population clusters.

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Table 2.

Estimated genetic variability in six wolf clusters identified by Bayesian analyses.

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Table 2 Expand

Fig 3.

Bayesian mtDNA phylogenetic tree (computed in Beast) [47] with a table indicating the bootstrap support and the estimated TMRCA (and their 95% HDP) of the main internodes.

The four main clades A1, A2, B1 and B2 are indicated. All dog haplotypes that form a monophylum were collapsed (see S3 and S5 Tables for the details on the haplotypes and clade composition).

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Fig 4.

Best scenarios as inferred by Diyabc.

Graphical representation of the resulting population sizes and divergence times estimated for the two best simulated scenarios, using a generation time g = 3 years. The width of branches is proportional to the inferred effective population sizes.

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Table 3.

Original parameter estimation and statistics (median and quantiles) of the posterior distribution for the scenario with the highest posterior probabilities.

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Table 3 Expand

Table 4.

Size of the bottleneck in four wolf populations as estimated by DIYABC under the best two demographic scenarios described in S5 Fig.

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