Adaptive evolution in virulence effectors of the rice blast fungus Pyricularia oryzae

• Published in: PLoS pathogens Vol. 19; no. 9; p. e1011294
• Main Authors: Le Naour-Vernet, Marie, Charriat, Florian, Gracy, Jérôme, Cros-Arteil, Sandrine, Ravel, Sébastien, Veillet, Florian, Meusnier, Isabelle, Padilla, André, Kroj, Thomas, Cesari, Stella, Gladieux, Pierre
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 11-09-2023; Public Library of Science (PLoS)
• Subjects: Adaptation; Amino Acid Sequence; Amino Acids; Analysis; Annotations; Ascomycota - genetics; Biology and Life Sciences; Cellular structure; Disease; Diversification; Effectors; Evolution & development; Explosions; Fungi; Gene expression; Gene polymorphism; Genes; Genetic engineering; Genetic polymorphisms; Genetic research; Genomes; Genomics; Growth; Host plants; Host range; Infections; Life Sciences; Mode of action; Pathogenic microorganisms; Pathogens; Phenotypes; Plants; Polymorphism; Positive selection; Proteins; Pyricularia oryzae; Research and Analysis Methods; Rice blast; Structural members; Surface properties; Virulence; Virulence (Microbiology); Virulence - genetics; France
• ISSN: 1553-7374; 1553-7366; 1553-7374
• DOI: 10.1371/journal.ppat.1011294

Plant pathogens secrete proteins called effectors that target host cellular processes to promote disease. Recently, structural genomics has identified several families of fungal effectors that share a similar three-dimensional structure despite remarkably variable amino-acid sequences and surface properties. To explore the selective forces that underlie the sequence variability of structurally-analogous effectors, we focused on MAX effectors, a structural family of effectors that are major determinants of virulence in the rice blast fungus Pyricularia oryzae. Using structure-informed gene annotation, we identified 58 to 78 MAX effector genes per genome in a set of 120 isolates representing seven host-associated lineages. The expression of MAX effector genes was primarily restricted to the early biotrophic phase of infection and strongly influenced by the host plant. Pangenome analyses of MAX effectors demonstrated extensive presence/absence polymorphism and identified gene loss events possibly involved in host range adaptation. However, gene knock-in experiments did not reveal a strong effect on virulence phenotypes suggesting that other evolutionary mechanisms are the main drivers of MAX effector losses. MAX effectors displayed high levels of standing variation and high rates of non-synonymous substitutions, pointing to widespread positive selection shaping the molecular diversity of MAX effectors. The combination of these analyses with structural data revealed that positive selection acts mostly on residues located in particular structural elements and at specific positions. By providing a comprehensive catalog of amino acid polymorphism, and by identifying the structural determinants of the sequence diversity, our work will inform future studies aimed at elucidating the function and mode of action of MAX effectors.