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Recent co-evolution of two pandemic plant diseases in a multi-hybrid swarm

  • Mostafa Rahnama
  • , Bradford Condon
  • , João P. Ascari
  • , Julian R. Dupuis
  • , Emerson M. Del Ponte
  • , Kerry F. Pedley
  • , Sebastián Martinez
  • , Barbara Valent
  • , Mark L. Farman

Producción científica: Articlerevisión exhaustiva

28 Citas (Scopus)

Resumen

Most plant pathogens exhibit host specificity but when former barriers to infection break down, new diseases can rapidly emerge. For a number of fungal diseases, there is increasing evidence that hybridization plays a major role in driving host jumps. However, the relative contributions of existing variation versus new mutations in adapting to new host(s) is unclear. Here we reconstruct the evolutionary history of two recently emerged populations of the fungus Pyricularia oryzae that are responsible for two new plant diseases: wheat blast and grey leaf spot of ryegrasses. We provide evidence that wheat blast/grey leaf spot evolved through two distinct mating episodes: the first occurred ~60 years ago, when a fungal individual adapted to Eleusine mated with another individual from Urochloa. Then, about 10 years later, a single progeny from this cross underwent a series of matings with a small number of individuals from three additional host-specialized populations. These matings introduced non-functional alleles of two key host-specificity factors, whose recombination in a multi-hybrid swarm probably facilitated the host jump. We show that very few mutations have arisen since the founding event and a majority are private to individual isolates. Thus, adaptation to the wheat or Lolium hosts appears to have been instantaneous, and driven entirely by selection on repartitioned standing variation, with no obvious role for newly formed mutations.

Idioma originalEnglish
Páginas (desde-hasta)2055-2066
Número de páginas12
PublicaciónNature Ecology and Evolution
Volumen7
N.º12
DOI
EstadoPublished - dic 2023

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s).

Financiación

We thank Y. Tosa for sharing unpublished genome sequence data, and the following for helpful comments: S. Kamoun and T. Langner (the Sainsbury Laboratory), P. Gladieux (Institut National de la Recherche Agronomique), N. Grunwald (Oregon State University), D. Weisrock (University of Kentucky) and L. Trevathan (Animal and Plant Health Inspection Service). We thank the University of Kentucky Center for Computational Sciences and Information Technology Services Research Computing for their support and use of the Morgan and Lipscomb Compute Clusters and associated resources. This work was supported by the United States Department of Agriculture, Agriculture and Food Research Initiative grants 2013-68004-20378 and 2021-68013-33719 (B.V.), multistate project NE1602 (M.F.); Agricultural Research Service project 8044-22000-046-00D (B.V.); Hatch project KY012037 (M.F.); the National Science Foundation, MCB-1716491 (M.F.); and the University of Kentucky College of Agriculture Food and the Environment (M.F.). This is contribution no. 21-121-J from the Kansas Agricultural Experiment Station. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and don’t imply recommendation or endorsement by the U.S. Department of Agriculture. USDA is an equal opportunity provider and employer.

FinanciadoresNúmero del financiador
Institut National de la Recherche Agronomique
University of Kentucky
Sainsbury Laboratory
U.S. Department of Agriculture
Kentucky Transportation Center, University of Kentucky
Animal and Plant Health Inspection Service
Oregon State University
USDA-Agricultural Research ServiceKY012037, 8044-22000-046-00D
National Science Foundation Arctic Social Science ProgramMCB-1716491
University of Kentucky College of Agriculture Food and the Environment21-121-J
United States Department of Agriculture's Agriculture and Food Research InitiativeNE1602, 2013-68004-20378, 2021-68013-33719

    ASJC Scopus subject areas

    • Ecology, Evolution, Behavior and Systematics
    • Ecology

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