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. 2014 Mar 25;9(3):e91412. doi: 10.1371/journal.pone.0091412

Figure 2. Structure analyses performed to infer the optimal partition of 8 sampled groups (A):

Figure 2

DIT  =  village dogs in Italy; DAP  =  Apennine dogs; DCZ  =  German Shepherd; WIT  = wolves in Italy; WCZ  =  wolves in Czech and Slovak republics; WHR  =  wolves in Croatia; WDCZ  =  Czechoslovakian wolfdogs; HYIT  =  putative wolf x dog hybrids collected in Italy; (genotyped at 39 autosomal microsatellites). The posterior probability Ln(K) of the data and the statistics ΔK were used to identify the optimal K  =  4 (averages of two independent runs). Plots of individual assignment probability to each inferred cluster are shown (B) for optimal K  =  4, 5 and 6. Structure was run assuming K from 1 to 12, with 400,000 MCMC and discarding the first 40,000 burn-ins, using the “admixture” and independent allele frequency “I” models, and no prior information (option “usepopinfo” not activated).