Dissecting the Genetic Architecture of Aphanomyces Root Rot Resistance in Lentil by QTL Mapping and Genome-Wide Association Study

Int J Mol Sci. 2020 Mar 20;21(6):2129. doi: 10.3390/ijms21062129.

Abstract

Lentil (Lens culinaris Medikus) is an important source of protein for people in developing countries. Aphanomyces root rot (ARR) has emerged as one of the most devastating diseases affecting lentil production. In this study, we applied two complementary quantitative trait loci (QTL) analysis approaches to unravel the genetic architecture underlying this complex trait. A recombinant inbred line (RIL) population and an association mapping population were genotyped using genotyping by sequencing (GBS) to discover novel single nucleotide polymorphisms (SNPs). QTL mapping identified 19 QTL associated with ARR resistance, while association mapping detected 38 QTL and highlighted accumulation of favorable haplotypes in most of the resistant accessions. Seven QTL clusters were discovered on six chromosomes, and 15 putative genes were identified within the QTL clusters. To validate QTL mapping and genome-wide association study (GWAS) results, expression analysis of five selected genes was conducted on partially resistant and susceptible accessions. Three of the genes were differentially expressed at early stages of infection, two of which may be associated with ARR resistance. Our findings provide valuable insight into the genetic control of ARR, and genetic and genomic resources developed here can be used to accelerate development of lentil cultivars with high levels of partial resistance to ARR.

Keywords: Aphanomyces euteiches; GBS; GWAS; QTL mapping; SNP; candidate genes; lentil; linkage disequilibrium (LD); root rot.

MeSH terms

  • Aphanomyces / physiology*
  • Chromosome Mapping*
  • Data Analysis
  • Disease Resistance / genetics*
  • Gene Expression Regulation, Plant
  • Genetics, Population
  • Genome-Wide Association Study*
  • Haplotypes / genetics
  • Lens Plant / genetics*
  • Lens Plant / microbiology*
  • Linkage Disequilibrium / genetics
  • Phenotype
  • Plant Diseases / genetics*
  • Plant Diseases / microbiology
  • Quantitative Trait Loci / genetics*