TY - JOUR
T1 - Population genomics and molecular epidemiology of wheat powdery mildew in Europe
AU - Jigisha, Jigisha
AU - Ly, Jeanine
AU - Minadakis, Nikolaos
AU - Freund, Fabian
AU - Kunz, Lukas
AU - Piechota, Urszula
AU - Akin, Beyhan
AU - Balmas, Virgilio
AU - Ben-David, Roi
AU - Bencze, Szilvia
AU - Bourras, Salim
AU - Bozzoli, Matteo
AU - Cotuna, Otilia
AU - Couleaud, Gilles
AU - Cséplő, Mónika
AU - Czembor, Paweł
AU - Desiderio, Francesca
AU - Dörnte, Jost
AU - Dreiseitl, Antonín
AU - Feechan, Angela
AU - Gadaleta, Agata
AU - Gauthier, Kevin
AU - Giancaspro, Angelica
AU - Giove, Stefania L.
AU - Handley-Cornillet, Alain
AU - Hubbard, Amelia
AU - Karaoglanidis, George
AU - Kildea, Steven
AU - Koc, Emrah
AU - Liatukas, Žilvinas
AU - Lopes, Marta S.
AU - Mascher, Fabio
AU - McCabe, Cathal
AU - Miedaner, Thomas
AU - Martínez-Moreno, Fernando
AU - Nellist, Charlotte F.
AU - Okoń, Sylwia
AU - Praz, Coraline
AU - Sánchez-Martín, Javier
AU - Sărăţeanu, Veronica
AU - Schulz, Philipp
AU - Schwartz, Nathalie
AU - Seghetta, Daniele
AU - Martel, Ignacio Solís
AU - Švarta, Agrita
AU - Testempasis, Stefanos
AU - Villegas, Dolors
AU - Widrig, Victoria
AU - Menardo, Fabrizio
N1 - Copyright: © 2025 Jigisha et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2025/5/2
Y1 - 2025/5/2
N2 - 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 Blumeria graminis forma specialis tritici (Bgt). We sampled Bgt across two consecutive years, 2022 and 2023, and compiled a genomic dataset of 415 Bgt isolates from 22 countries in Europe and surrounding regions. We identified a single epidemic unit in the north of Europe, consisting of a highly homogeneous population. Conversely, the south of Europe hosts smaller local populations which are less interconnected. In addition, we show that the population structure can be largely predicted by the prevalent wind patterns. We identified several loci that were under selection in the recent past, including fungicide targets and avirulence genes. Some of these loci are common between populations, while others are not, suggesting different local selective pressures. We reconstructed the evolutionary history of one of these loci, AvrPm17, coding for an effector recognized by the wheat receptor Pm17. We found evidence for a soft sweep on standing genetic variation. Multiple AvrPm17 haplotypes, which can partially escape recognition by Pm17, spread rapidly throughout the continent upon its introduction in the early 2000s. We also identified a new virulent variant, which emerged more recently and can evade Pm17 resistance altogether. Overall, we highlight the potential of genomic surveillance in resolving the evolutionary and epidemiological dynamics of agricultural pathogens, as well as in guiding control strategies.
AB - 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 Blumeria graminis forma specialis tritici (Bgt). We sampled Bgt across two consecutive years, 2022 and 2023, and compiled a genomic dataset of 415 Bgt isolates from 22 countries in Europe and surrounding regions. We identified a single epidemic unit in the north of Europe, consisting of a highly homogeneous population. Conversely, the south of Europe hosts smaller local populations which are less interconnected. In addition, we show that the population structure can be largely predicted by the prevalent wind patterns. We identified several loci that were under selection in the recent past, including fungicide targets and avirulence genes. Some of these loci are common between populations, while others are not, suggesting different local selective pressures. We reconstructed the evolutionary history of one of these loci, AvrPm17, coding for an effector recognized by the wheat receptor Pm17. We found evidence for a soft sweep on standing genetic variation. Multiple AvrPm17 haplotypes, which can partially escape recognition by Pm17, spread rapidly throughout the continent upon its introduction in the early 2000s. We also identified a new virulent variant, which emerged more recently and can evade Pm17 resistance altogether. Overall, we highlight the potential of genomic surveillance in resolving the evolutionary and epidemiological dynamics of agricultural pathogens, as well as in guiding control strategies.
KW - Ascomycota/genetics
KW - Triticum/microbiology
KW - Plant Diseases/microbiology
KW - Europe/epidemiology
KW - Molecular Epidemiology
KW - Genomics/methods
KW - Genome, Fungal
KW - Genetics, Population
UR - http://www.scopus.com/inward/record.url?scp=105004603800&partnerID=8YFLogxK
U2 - 10.1371/journal.pbio.3003097
DO - 10.1371/journal.pbio.3003097
M3 - Article
C2 - 40315179
SN - 1544-9173
VL - 23
JO - PLoS Biology
JF - PLoS Biology
IS - 5
M1 - e3003097
ER -