Genome-wide association mapping for five major pest resistances in wheat

Insect pests cause substantial damage to wheat production in many wheat-producing areas of the world. Amongst these, Hessian fly (HF), Russian wheat aphid (RWA), Sunn pest (SP), wheat stem saw fly (WSSF) and cereal leaf beetle (CLB) are the most damaging in the areas where they occur. Historically,...

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Bibliographic Details
Published in:Molecular breeding 2013-12, Vol.32 (4), p.943-960
Main Authors: Joukhadar, R, El-Bouhssini, M, Jighly, A, Ogbonnaya, F. C
Format: Article
Language:English
Subjects:
Biomedical and Life Sciences
Biotechnology
Crop production
cultivars
Damage
Diuraphis noxia
Gene mapping
Genes
Genome-wide association studies
Genomes
Genomics
genotype
Genotypes
insect pests
Insects
Life Sciences
loci
Mapping
Mayetiola destructor
Molecular biology
new variety
Oulema melanopus
Pest control
Pest resistance
Pests
Plant biology
Plant Genetics and Genomics
Plant Pathology
Plant Physiology
Plant Sciences
Population structure
Quantitative trait loci
Wheat
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Summary:Insect pests cause substantial damage to wheat production in many wheat-producing areas of the world. Amongst these, Hessian fly (HF), Russian wheat aphid (RWA), Sunn pest (SP), wheat stem saw fly (WSSF) and cereal leaf beetle (CLB) are the most damaging in the areas where they occur. Historically, the use of resistance genes in wheat has been the most effective, environmentally friendly, and cost-efficient approach to controlling pest infestations. In this study, we carried out a genome-wide association study with 2518 Diversity Arrays Technology markers which were polymorphic on 134 wheat genotypes with varying degrees of resistance to the five most destructive pests (HF, RWA, SP, WSSF and CLB) of wheat, using mixed linear model (MLM) analysis with population structure as a covariate. We identified 26 loci across the wheat genome linked to genes conferring resistance to these pests, of which 20 are potentially novel quantitative trait loci with significance values which ranged between 5 × 10⁻³ and 10⁻¹¹. We used an in silico approach to identify probable candidate genes at some of the genomic regions and found that their functions varied from defense response with transferase activity to several genes of unknown function. Identification of potentially new loci associated with resistances to pests would contribute to more rapid marker-aided incorporation of new and diverse genes to develop new varieties with improved resistance against these pests.
ISSN:1380-3743
1572-9788
DOI:10.1007/s11032-013-9924-y