The effectome of the necrotrophic fungal pathogen, Alternaria solani, was determined using multiomics. In total, 238 effector candidates were predicted from the A. solani genome, and apoplastic effectors constitute most of the total candidate effector proteins (AsCEPs). Comparative genomics revealed two main groups of AsCEPs: lineage-specific and conserved effectors. RNA-Seq analysis revealed that the most highly expressed genes encoding AsCEPs were enriched with lineage-specific forms. Two lineage-specific effector genes, AsCEP19 and AsCEP20, were found to form a ‘head-to-head’ gene pair located near an AT-rich region on the chromosome. To date, AsCEP19 and AsCEP20 have been found only in a few fungal species. Phylogenetic inference revealed that AsCEP19 and AsCEP20 were likely acquired by the common ancestor of A. solani and A. tomatophila via horizontal gene transfer, probably mediated by long terminal repeat retrotransposon. RT-qPCR analysis showed that AsCEP19 and AsCEP20 are tightly coexpressed in a host-specific manner and that they are upregulated at advanced stages of A. solani infection only in solanaceous hosts. Transient expression of AsCEP19 and AsCEP20 in Nicotiana benthamiana plants showed that these effectors could promote Phytophthora infestans infection. AsCEP19 and AsCEP20 were required for the full virulence of A. solani on host potato, because deletion of this gene pair significantly reduced the size of necrotic lesions on potato leaves. Transient expression of AsCEP20 could elicit plant cell death depending on the presence of its signal peptide, indicating that AsCEP20 is a necrosis-inducing apoplastic effector with the mature form localized specifically in chloroplasts. Our work provides a better understanding of the function and evolution of necrotrophic fungal effectors, and helps explain the high aggressiveness of A. solani against solanaceous crops.

Early blight (EB) disease, caused mainly by Alternaria solani, is an economic threat to potato and tomato production worldwide. Thus, accurate and sensitive detection of the fungal pathogen of this disease in plants at the early infection stage is important for forecasting EB epidemics. In this study, we developed an RNA-based method that enables highly accurate and sensitive A. solani detection in a whole potato leaf at a single spore level based on quantitative real-time polymerase chain reaction (qPCR). We discovered jg1677, a highly expressed gene whose full-length coding sequence is very specific for A. solani, by analyzing A. solani transcripts isolated from enhanced high throughput transcriptome of infected potato leaves by A. solani and using the National Center for Biotechnology Information’s basic local alignment search tool. The specificity of the primers derived from jg1677 was determined using 22 isolates of common potato pathogens, including seven Alternaria isolates. Detecting jg1677 transcripts with qPCR is 1,295 times more sensitive than detecting genomic DNA. In addition, the expression pattern of jg1677 at different infection stages was determined by qPCR. What is more, jg1677 was expressed relatively stable between 15 and 35°C in infected leaves, and its expression was virtually unaffected in isolated leaves left at room temperature for 24 h. Our work provides a much more sensitive and accurate method compared to conditional DNA-based ones, permitting a very early diagnosis of EB and lowering the risk of EB epidemics.

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