Association mapping of Stagonospora nodorum blotch resistance in modern European winter wheat varieties

Theor Appl Genet. 2007 Sep;115(5):697-708. doi: 10.1007/s00122-007-0601-6. Epub 2007 Jul 19.

Abstract

Association mapping in populations relevant for wheat breeding has a large potential for validating and fine-mapping QTLs identified in F2- or DH (double haploid)-derived populations. In this study, associations between markers in the region of QSng.sfr-3BS, a major QTL for resistance to Stagonospora nodorum glume blotch (SNG), and SNG resistance were investigated by linkage and association analyses. After increasing marker density in 240 F(5:7) recombinant inbred lines (RILs), QSng.sfr-3BS explained 43% of the genetic variance and peaked 0.6 cM proximal from the marker SUN2-3B. Association between SNG resistance and markers mapped in the region of QSng.sfr-3BS was investigated in a population of 44 modern European winter wheat varieties. Two genetically distinct subpopulations were identified within these lines. In agreement with linkage analyses, association mapping by a least squares general linear model (GLM) at marker loci in the region of QSng.sfr-3BS revealed the highest association with SNG resistance for SUN2-3B (p < 0.05). Association mapping can provide an effective mean of relating genotypes to complex quantitative phenotypes in hexaploid wheat. Linkage disequilibrium (r (2)) in chromosome 3B extended less than 0.5 cM in 44 varieties, while it extended about 30 cM in 240 RILs, based on 91 SSR and STS marker-pair comparisons. This indicated that the association mapping population had a marker resolution potential at least 390-fold higher compared to the RIL population.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Ascomycota / physiology*
  • Chromosome Mapping*
  • Chromosomes, Plant / genetics
  • Europe
  • Genetic Markers
  • Immunity, Innate / genetics*
  • Linkage Disequilibrium / genetics
  • Minisatellite Repeats
  • Plant Diseases / genetics*
  • Plant Diseases / immunology*
  • Population Dynamics
  • Quantitative Trait, Heritable
  • Seasons
  • Triticum / genetics*
  • Triticum / microbiology*

Substances

  • Genetic Markers