The transcriptional landscape of Rhizoctonia solani AG1-IA during infection of soybean as defined by RNA-seq

PLoS One. 2017 Sep 6;12(9):e0184095. doi: 10.1371/journal.pone.0184095. eCollection 2017.

Abstract

Rhizoctonia solani Kühn infects most plant families and can cause significant agricultural yield losses worldwide; however, plant resistance to this disease is rare and short-lived, and therefore poorly understood, resulting in the use of chemical pesticides for its control. Understanding the functional responses of this pathogen during host infection can help elucidate the molecular mechanisms that are necessary for successful host invasion. Using the pathosystem model soybean-R. solani anastomosis group AG1-IA, we examined the global transcriptional responses of R. solani during early and late infection stages of soybean by applying an RNA-seq approach. Approximately, 148 million clean paired-end reads, representing 93% of R. solani AG1-IA genes, were obtained from the sequenced libraries. Analysis of R. solani AG1-IA transcripts during soybean invasion revealed that most genes were similarly expressed during early and late infection stages, and only 11% and 15% of the expressed genes were differentially expressed during early and late infection stages, respectively. Analyses of the differentially expressed genes (DEGs) revealed shifts in molecular pathways involved in antibiotics biosynthesis, amino acid and carbohydrate metabolism, as well as pathways involved in antioxidant production. Furthermore, several KEGG pathways were unique to each time point, particularly the up-regulation of genes related to toxin degradation (e.g., nicotinate and nicotinamid metabolism) at onset of necrosis, and those linked to synthesis of anti-microbial compounds and pyridoxine (vitamin B6) biosynthesis 24 h.p.o. of necrosis. These results suggest that particular genes or pathways are required for either invasion or disease development. Overall, this study provides the first insights into R. solani AG1-IA transcriptome responses to soybean invasion providing beneficial information for future targeted control methods of this successful pathogen.

MeSH terms

  • Gene Expression Profiling
  • Genes, Fungal / genetics
  • Genes, Fungal / physiology
  • Glycine max / microbiology*
  • Plant Diseases / microbiology
  • RNA / genetics
  • Real-Time Polymerase Chain Reaction
  • Rhizoctonia / genetics
  • Rhizoctonia / metabolism*
  • Rhizoctonia / physiology

Substances

  • RNA

Grants and funding

This work was supported by a Discovery grant (RGPIN137135-201 and RGPIN-2016-04805) to S. Jabaji and R. Duggavathi (RGPIN-371850) provided by the Natural Sciences and Engineering Research Council of Canada (NSERC). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.