Characterization of the Resistance to Powdery Mildew and Leaf Rust Carried by the Bread Wheat Cultivar Victo
Leaf rust and powdery mildew are two important foliar diseases in wheat. A recombinant inbred line (RIL) population, obtained by crossing two bread wheat cultivars (‘Victo’ and ‘Spada’), was evaluated for resistance to the two pathogens at seedling stage. Upon developing a genetic map of 8726 SNP lo...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-03-01
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| Series: | International Journal of Molecular Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1422-0067/22/6/3109 |
| Summary: | Leaf rust and powdery mildew are two important foliar diseases in wheat. A recombinant inbred line (RIL) population, obtained by crossing two bread wheat cultivars (‘Victo’ and ‘Spada’), was evaluated for resistance to the two pathogens at seedling stage. Upon developing a genetic map of 8726 SNP loci, linkage analysis identified three resistance Quantitative Trait Loci (QTLs), with ‘Victo’ contributing the resistant alleles to all loci. One major QTL (Q<i>Pm.</i>gb-7A) was detected in response to <i>Blumeria graminis</i> on chromosome 7A, which explained 90% of phenotypic variation (PV). The co-positional relationship with known powdery mildew (<i>Pm</i>) resistance loci suggested that a new source of resistance was identified in <i>T. aestivum</i>. Two QTLs were detected in response to <i>Puccinia triticina</i>: a major gene on chromosome 5D (Q<i>Lr</i>.gb-5D), explaining a total PV of about 59%, and a minor QTL on chromosome 2B (Q<i>Lr</i>.gb-2B). A positional relationship was observed between the Q<i>Lr</i>.gb-5D with the known <i>Lr</i>1 gene, but polymorphisms were found between the cloned <i>Lr</i>1 and the corresponding ‘Victo’ allele, suggesting that Q<i>Lr</i>.gb-5D could represent a new functional <i>Lr</i>1 allele. Lastly, upon anchoring the QTL on the <i>T. aestivum</i> reference genome, candidate genes were hypothesized on the basis of gene annotation and in silico gene expression analysis. |
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| ISSN: | 1661-6596 1422-0067 |