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Published on: March 11, 2020
Genomic Analysis Highlights Putative Defective Susceptibility Genes in Tomato Germplasm
Ruiling Li1, Alex Maioli1, Sergio Lanteri1
1Plant Genetics and Breeding, Department of Agricultural, Forest and Food Science (DISAFA), University of Torino, 10095 Grugliasco, Italy.
Researchers identified mutations in tomato susceptibility (S) genes to breed for disease resistance. Some mutations significantly reduced susceptibility to powdery mildew, offering a path for developing more resilient tomato crops.
Area of Science:
- Plant Pathology and Genetics
- Agricultural Science
- Molecular Biology
Background:
- Tomato (Solanum lycopersicum L.) is a globally important crop vulnerable to diseases causing significant yield loss.
- Developing disease resistance is crucial for improving tomato cultivation and ensuring food security.
- Plant susceptibility (S) genes facilitate pathogen interaction; mutations in these genes can confer broad-spectrum resistance.
Purpose of the Study:
- To conduct a genome-wide analysis of tomato genotypes to identify defective S-gene alleles for disease resistance breeding.
- To discover naturally occurring mutations in key susceptibility genes that can be leveraged for crop improvement.
Main Methods:
- Genome-wide analysis of 360 tomato genotypes, focusing on 125 homologs of 10 known S-genes.
- Identification and annotation of SNPs/indels using the SNPeff pipeline.
- Validation of high-impact mutations and subsequent infection assays with Oidium neolycopersici.
Main Results:
- Over 54,000 SNPs/indels were identified, with 120 high-impact variants (missense, nonsense, frameshift).
- 103 genotypes carried at least one high-impact mutation; 10 genotypes had more than 4.
- Two tomato genotypes with homozygous high-impact S-gene mutations showed significantly reduced susceptibility to Oidium neolycopersici.
Conclusions:
- Naturally occurring mutations in tomato S-genes represent a valuable resource for breeding disease-resistant varieties.
- Identified mutations provide a basis for understanding plant-pathogen interactions and developing durable resistance.
- These findings support the use of existing mutations in risk assessments for new genomic techniques in agriculture.
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