Genome sequence and spore germination-associated transcriptome analysis ofCorynespora cassiicolafrom cucumber

Abstract
Background Corynespora cassiicola, as a necrotrophic phytopathogenic ascomycetous fungus, can infect hundreds of species of plants and rarely causes human diseases. This pathogen infects cucumber species and causes cucumber target spot, which has recently caused large cucumber yield losses in China. Genome sequence and spore germination-associated transcriptome analysis will contribute to the understanding of the molecular mechanism of pathogenicity and spore germination ofC. cassiicola. Results First, we reported the draft genome sequences of the cucumber-sampledC. cassiicolaisolate HGCC with high virulence. Although conspecific, HGCC exhibited distinct genome sequence differences from a rubber tree-sampled isolate (CCP) and a human-sampled isolate (UM591). The proportion of secreted proteins was 7.2% in HGCC. A total of 28.9% (4232) of HGCC genes, 29.5% (4298) of CCP genes and 28.6% (4214) of UM591 genes were highly homologous to experimentally proven virulence-associated genes, respectively, which were not significantly different (P = 0.866) from the average (29.7%) of 10 other phytopathogenic fungi. Thousands of putative virulence-associated genes in various pathways or families were identified inC. cassiicola. Second, a global view of the transcriptome ofC. cassiicolaspores during germination was evaluated using RNA sequencing (RNA-Seq). A total of 3288 differentially expressed genes (DEGs) were identified. The majority of KEGG-annotated DEGs were involved in metabolism, genetic information processing, cellular processes, the organismal system, human diseases and environmental information processing. Conclusions These results facilitate the exploration of the molecular pathogenic mechanism ofC. cassiicolain cucumbers and the understanding of molecular and cellular processes during spore germination.
Funding Information
  • Natural Science Foundation of Shanghai (16ZR1424100)
  • SAAS Program for Excellent Research Team (2017(A-03))
  • China National Major Program of Science and Technology (2017ZX07202004-004)
  • Shanghai Rising-Star Program (17QB1403200)