Identification of quantitative trait loci and candidate genes for specific cellular resistance responses against Didymella pinodes in pea

• Published in: Plant cell reports Vol. 33; no. 7; pp. 1133 - 1145
• Main Authors: Carrillo, E, Satovic, Z, Aubert, G, Boucherot, K, Rubiales, D, Fondevilla, S
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer-Verlag 01.07.2014; Springer Berlin Heidelberg; Springer Nature B.V; Springer Verlag
• Subjects: Ascochyta; Ascomycota - pathogenicity; Biomedical and Life Sciences; Biotechnology; blight; Cell Biology; Chromosome Mapping; Didymella; Disease Resistance - genetics; Environmental Sciences; genes; genetic markers; Germination; Life Sciences; marker-assisted selection; Original Paper; pathogens; peas; phenotype; Pisum sativum - genetics; Pisum sativum - microbiology; Plant Biochemistry; Plant Diseases - genetics; Plant Diseases - microbiology; Plant Sciences; Polymorphism, Single Nucleotide; Quantitative Trait Loci; single nucleotide polymorphism; Vegetal Biology; Quantitative trait; SNP markers; Epidermal cell death; Pea; Candidate genes; Cellular resistance; Quantitative trait loci; Didymella pinodes
• ISSN: 0721-7714; 1432-203X
• DOI: 10.1007/s00299-014-1603-x

KEY MESSAGE : Phenotyping of specific cellular resistance responses and improvement of previous genetic map allowed the identification of novel genomic regions controlling cellular mechanisms involved in pea resistance to ascochyta blight and provided candidate genes suitable for MAS. Didymella pinodes, causing ascochyta blight, is a major pathogen of the pea crop and is responsible for serious damage and yield losses. Resistance is inherited polygenically and several quantitative trait loci (QTLs) have been already identified. However, the position of these QTLs should be further refined to identify molecular markers more closely linked to the resistance genes. In previous works, resistance was scored visually estimating the final disease symptoms; in this study, we have conducted a more precise phenotyping of resistance evaluating specific cellular resistance responses at the histological level to perform a more accurate QTL analysis. In addition, P665 × Messire genetic map used to identify the QTLs was improved by adding 117 SNP markers located in genes. This combined approach has allowed the identification, for the first time, of genomic regions controlling cellular mechanisms directly involved in pea resistance to ascochyta blight. Furthermore, the inclusion of the gene-based SNP markers has allowed the identification of candidate genes co-located with QTLs and has provided robust markers for marker-assisted selection.