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Fig. S1 Plot of Ln likelihood of the data for several values of K, the parameter representing the number of populations in the Bayesian clustering algorithm implemented in the STRUCTURE program.

Fig. S2 Population structure of Leptosphaeria maculans inferred using the program STRUCTURE without using prior population information.

Fig. S3 Historical scenarios compared using Approximate Bayesian Computation. This set of scenarios investigated the relationships among the three populations with highest genetic diversity and located in possible regions of origin for the disease.

Fig. S4 Historical scenarios compared using Approximate Bayesian Computation. This set of scenarios investigated the origin of the Western Australia population.

Fig. S5 Historical scenarios compared using Approximate Bayesian Computation. This set of scenarios investigated the origin of the western Canadian population.

Fig. S6 Historical scenarios compared using Approximate Bayesian Computation. This set of scenarios investigated the origin of the Chilean population.

Table S1 Primer sequences, genome location, core motif, and range of variation of copy numbers of the core motif of minisatellite markers used to genotype worldwide samples of Leptosphaeria maculans.

Table 2 Loadings for the Principal Components capturing information contained in summary statistics of minisatellite variation in worldwide populations of Leptosphaeria maculans.

Table S3 Prior distributions of model parameters.

Table S4 Relative posterior probabilities with 95% confidence intervals for all scenarios compared using Approximate Bayesian Computation, and results of power analyses for the scenarios with higher posterior probabilities (type I and type II error rates).

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