Secreted Effectors: A Perspective in Plant-Fungus Interaction

Sahu, Anubhav; Shree, Ankita; Verma, Praveen Kumar

doi:10.1007/978-981-99-4890-1_13

Cited by 1 publication

(1 citation statement)

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“…These ndings suggest that our GHA identi ed a wide array of functions likely to be associated with host specialization under natural eld conditions, which is consistent with the complex genetic architecture of host specialization in the Z. tritici-wheat pathosystem 10,36,40 . In addition, these results illustrate that molecular plant-microbe interactions extend far beyond the canonical gene-for-gene model of effector-triggered immune responses leading to host resistance 41,42 and likely involve a wide range of molecular functions that contribute to promoting pathogen infection and adaptation to a speci c host environment 1,2,43,44 . In plants, GWAS has con rmed the polygenic and dynamic genetic basis of disease resistance 7 .…”

Section: Resultsmentioning

confidence: 87%

A novel genome-wide association approach reveals wheat pathogen genes involved in host specialization

Lorrain,

Feurtey,

Alassimone

et al. 2024

Preprint

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Plant-pathogenic microbes, including the wheat fungal pathogen Zymoseptoria tritici, adapt to their host environment. In plants, genome-wide association studies (GWAS) have been extensively used to uncover the complexity of local adaptation and disease resistance. However, the application of GWAS to decipher the mechanisms underlying fungal pathogenicity and host adaptation trails far behind. Here, we established a genome-host association (GHA) approach to infer statistical associations between pathogen allele frequencies and host of origin for 832 fungal strains isolated from twelve different host cultivars during a natural field epidemic. We identified from two to twenty genes associated with specialization to the different wheat cultivars, including one known effector gene that provided a proof-of-concept for our GHA approach, as well as two new virulence-related genes that we validated with targeted gene knockouts. Our study highlights the polygenic genetic architecture of host adaptation and provides a novel application of GWAS in plant pathogens that transcends the limitations imposed by traditional phenotyping methods.

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