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- CRISPR-Cas9 (1)
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- Sporisorium reilianum (1)
- Ustilago maydis (1)
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The biotrophic pathogen Ustilago maydis causes smut disease on maize (Zea mays) and induces the formation of tumours on all aerial parts of the plant. Unlike in other biotrophic interactions, no gene-for-gene interactions have been identified in the maize–U. maydis pathosystem. Thus, maize resistance to U. maydis is considered a polygenic, quantitative trait. Here, we study the molecular mechanisms of quantitative disease resistance (QDR) in maize, and how U. maydis interferes with its components. Based on quantitative scoring of disease symptoms in 26 maize lines, we performed an RNA sequencing (RNA-Seq) analysis of six U. maydis-infected maize lines of highly distinct resistance levels. The different maize lines showed specific responses of diverse cellular processes to U. maydis infection. For U. maydis, our analysis identified 406 genes being differentially expressed between maize lines, of which 102 encode predicted effector proteins. Based on this analysis, we generated U. maydis CRISPR/Cas9 knock-out mutants for selected candidate effector sets. After infections of different maize lines with the fungal mutants, RNA-Seq analysis identified effectors with quantitative, maize line-specific virulence functions, and revealed auxin-related processes as a possible target for one of them. Thus, we show that both transcriptional activity and virulence function of fungal effector genes are modified according to the infected maize line, providing insights into the molecular mechanisms underlying QDR in the maize–U. maydis interaction.
The constitution and regulation of effector repertoires shape host–microbe interactions. Ustilago maydis and Sporisorium reilianum are two closely related smut fungi, which both infect maize but cause distinct disease symptoms. Understanding how effector orthologs are regulated in these two pathogens can therefore provide insights into the evolution of different infection strategies. We tracked the infection progress of U. maydis and S. reilianum in maize leaves and used two distinct infection stages for cross-species RNA-sequencing analyses. We identified 207 of 335 one-to-one effector orthologs as differentially regulated during host colonization, which might reflect the distinct disease development strategies. Using CRISPR-Cas9-mediated gene conversion, we identified two differentially expressed effector orthologs with conserved function between two pathogens. Thus, differential expression of functionally conserved genes might contribute to species-specific adaptation and symptom development. Interestingly, another differentially expressed orthogroup (UMAG_05318/Sr10075) showed divergent protein function, providing a possible case for neofunctionalization. Collectively, we demonstrated that the diversification of effector genes in related pathogens can be caused both by alteration on the transcriptional level and through functional diversification of the encoded effector proteins.