Fabian Freund

Loading metrics Open Access Peer-reviewed Research Article Citation: Jigisha J, Ly J, Minadakis N, Freund F, Kunz L, Piechota U, et al. (2025) Population genomics and molecular epidemiology of wheat powdery mildew in Europe. PLoS Biol 23(5): e3003097.

Abstract Agricultural diseases are a major threat to sustainable food production. Yet, for many pathogens we know exceptionally little about their epidemiological and population dynamics, and this knowledge gap is slowing the development of efficient control strategies. Here we study the population genomics and molecular epidemiology of wheat powdery mildew, a disease caused by the biotrophic fungus <em>Blumeria graminis forma specialis tritici</em> (Bgt).

3.2 Data analysis The simulations demonstrate that the method is able to retrieve the correct model, and also correctly estimate the parameters of the MMC, provided that there is enough signal in the data. Next, we applied the method to 45 real SFS from 45 distantly related taxa. We first tested how many datasets are better fit by an MMC model than by a Kingman model, then tested the goodness of the MMC fit and estimated MMC parameters for real data. MMC fits better than Kingman.