Investigation and genome-wide association study for Fusarium crown rot resistance in Chinese common wheat

BMC Plant Biol. 2019 Apr 23;19(1):153. doi: 10.1186/s12870-019-1758-2.

Abstract

Background: Fusarium crown rot (FCR) is a severe and chronic disease in common wheat and is able to cause serious yield loss and health problems to human and livestock.

Results: Here, 234 Chinese wheat cultivars were evaluated in four greenhouse experiments for FCR resistance and genome-wide association studies (GWAS) were performed using the wheat 660 K genotyping assay. The results indicated that most cultivars evaluated showed FCR disease index (DI) of 40-60, while some cultivars showed stably good FCR resistance (DI < 30). GWAS identified 286 SNPs to be significantly associated with FCR resistance, of which 266, 6 and 8 were distributed on chromosomes 6A, 6B and 6D, respectively. The significant SNPs on 6A were located in a 7.0-Mb region containing 51 annotated genes. On the other hand, QTL mapping using a bi-parental population derived from UC1110 and PI610750 detected three QTLs on chromosomes 6A (explaining 7.77-10.17% of phenotypic variation), 2D (7.15-9.29%) and 2A (5.24-6.92%). The 6A QTL in the UC1110/PI610750 population falls into the same chromosomal region as those detected from GWAS, demonstrating its importance in Chinese materials for FCR resistance.

Conclusion: This study could provide useful information for utilization of FCR-resistant wheat germplasm and further understanding of molecular and genetics basis of FCR resistance in common wheat.

Keywords: Bread wheat; Disease index; Fusarium crown rot; GWAS; QTL.

MeSH terms

  • Alleles
  • Chromosomes, Plant / genetics
  • Disease Resistance / genetics*
  • Fusarium / physiology*
  • Genome, Plant*
  • Genome-Wide Association Study*
  • Haplotypes / genetics
  • Inbreeding
  • Lod Score
  • Phenotype
  • Plant Diseases / genetics*
  • Plant Diseases / immunology
  • Plant Diseases / microbiology*
  • Polymorphism, Single Nucleotide / genetics
  • Principal Component Analysis
  • Quantitative Trait Loci / genetics
  • Triticum / genetics*
  • Triticum / immunology
  • Triticum / microbiology*