Population structure and genetic diversity of Setosphaeria turcica from corn in Heilongjiang province, China

J Appl Microbiol. 2019 Dec;127(6):1814-1823. doi: 10.1111/jam.14449. Epub 2019 Oct 21.

Abstract

Aim: The aims of this study were to identify races and mating types of Setosphaeria turcica causing northern corn leaf blight in Heilongjiang province of China and analyse the genetic diversity of S. turcica isolates using SSR markers.

Methods and results: Based on gene-for-gene interactions, 13 races of S. turcica (races 0, 1, 2, 3, 12, 13, 23, 123, N, 1N, 12N, 3N and 23N) were isolated from infected corn plants in Heilongjiang province. Races 0 and 1 were the predominant races, and race 23N was identified for the first time in the region. Using two pairs of specific primers, three mating types, 'a', 'Aa' and 'A', were identified, with 'a' being the predominant mating type. SSR markers were used to analyse genetic diversity of 60 S. turcica isolates. Five SSR primers were polymorphic, which resulted in 45 reproducible bands with 2-15 bands for each primer. Cluster analysis separated the isolates into five groups at a similarity coefficient of 0·84. Analysis of molecular variance showed that there was significant correlation between SSR groups and mating type of the isolates. No significant correlation was found between SSR groups and physiological races or geographical location of the isolates.

Conclusions: The work reported that races 0 and 1 were the predominant races, and race 23N was identified for the first time in Heilongjiang province with 'a' being the predominant mating type. There was significant correlation between SSR groups and mating type of S. turcica isolates.

Significance and impact of the study: Our results provide information on population structure and genetic diversity of S. turcica causing Northern corn leaf blight, which will facilitate the development of effective disease management programs.

Keywords: Setosphaeria turcica; corn; genetic diversity; mating type; simple sequence repeats.

MeSH terms

  • Ascomycota / classification
  • Ascomycota / genetics*
  • China
  • Cluster Analysis
  • Genes, Fungal / genetics
  • Genes, Mating Type, Fungal / genetics
  • Genetic Variation*
  • Microsatellite Repeats / genetics
  • Plant Diseases / microbiology*
  • Zea mays / microbiology*