Ascochyta blight disease of pea (Pisum sativum L.): defence-related candidate genes associated with QTL regions and identification of epistatic QTL

• Published in: Theoretical and applied genetics 2016-05, Vol.129 (5), p.879-896
• Main Authors: Timmerman-Vaughan, Gail M., Moya, Leire, Frew, Tonya J., Murray, Sarah R., Crowhurst, Ross
• Format: Article
• Language: English
• Subjects: Agriculture; Ascochyta; Ascomycota; Biochemistry; Biomedical and Life Sciences; Biotechnology; Chromosome Mapping; Didymella; Disease resistance (Plants); Disease Resistance - genetics; Diseases and pests; DNA, Plant - genetics; Epistasis; Epistasis, Genetic; Genes; Genes, Plant; Genetic aspects; Genetic Linkage; Genetic Markers; Genomes; Life Sciences; Medicago truncatula; Medicago truncatula - genetics; Microsatellite Repeats; Observations; Original Article; Pathogens; Pea; Phenotype; Phoma; Pisum sativum; Pisum sativum - genetics; Plant Biochemistry; Plant Breeding/Biotechnology; Plant Diseases - genetics; Plant Diseases - microbiology; Plant Genetics and Genomics; Plant-pathogen relationships; Prevention; Quantitative Trait Loci; Sequence Analysis, DNA; Synteny
• ISSN: 0040-5752; 1432-2242
• DOI: 10.1007/s00122-016-2669-3

KEY MESSAGE : Advances have been made in our understanding of Ascochyta blight resistance genetics through mapping candidate genes associated with QTL regions and demonstrating the importance of epistatic interactions in determining resistance. Ascochyta blight disease of pea (Pisum sativum L.) is economically significant with worldwide distribution. The causal pathogens are Didymella pinodes, Phoma medicaginis var pinodella and, in South Australia, P. koolunga. This study aimed to identify candidate genes that map to quantitative trait loci (QTL) for Ascochyta blight field disease resistance and to explore the role of epistatic interactions. Candidate genes associated with QTL were identified beginning with 101 defence-related genes from the published literature. Synteny between pea and Medicago truncatula was used to narrow down the candidates for mapping. Fourteen pea candidate sequences were mapped in two QTL mapping populations, A26 × Rovar and A88 × Rovar. QTL peaks, or the intervals containing QTL peaks, for the Asc2.1, Asc4.2, Asc4.3 and Asc7.1 QTL were defined by four of these candidate genes, while another three candidate genes occurred within 1.0 LOD confidence intervals. Epistasis involving QTL × background marker and background marker × background marker interactions contributed to the disease response phenotypes observed in the two mapping populations. For each population, five pairwise interactions exceeded the 5 % false discovery rate threshold. Two candidate genes were involved in significant pairwise interactions. Markers in three genomic regions were involved in two or more epistatic interactions. Therefore, this study has identified pea defence-related sequences that are candidates for resistance determination, and that may be useful for marker-assisted selection. The demonstration of epistasis informs breeders that the architecture of this complex quantitative resistance includes epistatic interactions with non-additive effects.