Unravelling candidate genes associated with blast disease resistance in an elite green super rice varietal panel using genome-wide association study
Rice blast disease, caused by the filamentous fungus <jats:italic>Magnaporthe oryzae</jats:italic>, significantly threatens global rice crops leading to yield losses worldwide. Given that existing resistance genes often fail to control rice blast due to the evolution of new virulent strains, identif...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/172922 |
| _version_ | 1855518283875221504 |
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| author | Saxena, Harshita Murugaiyan, Varunseelan Ghimire, Bikash Robiso, Christian John De Asis, Erik Jon Yanoria, Mary Jeanie Raymer, Paul L. Bahri, Bochra Amina Ali, Jauhar |
| author_browse | Ali, Jauhar Bahri, Bochra Amina De Asis, Erik Jon Ghimire, Bikash Murugaiyan, Varunseelan Raymer, Paul L. Robiso, Christian John Saxena, Harshita Yanoria, Mary Jeanie |
| author_facet | Saxena, Harshita Murugaiyan, Varunseelan Ghimire, Bikash Robiso, Christian John De Asis, Erik Jon Yanoria, Mary Jeanie Raymer, Paul L. Bahri, Bochra Amina Ali, Jauhar |
| author_sort | Saxena, Harshita |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Rice blast disease, caused by the filamentous fungus <jats:italic>Magnaporthe oryzae</jats:italic>, significantly threatens global rice crops leading to yield losses worldwide. Given that existing resistance genes often fail to control rice blast due to the evolution of new virulent strains, identifying novel genes using modern breeding tools to enhance partial resistance is crucial for developing more durable and effective control measures. Here, we used a genome‐wide association study (GWAS) with 2698 high‐throughput single‐nucleotide polymorphism (SNP) markers to analyse 134 rice cultivars from the Green Super Rice breeding programme against two virulent rice blast isolates, M101‐1‐2‐9‐1 (M101) and M64‐1‐3‐9‐1 (M64). GWAS identified 12 potential quantitative trait loci (QTLs) for blast resistance: five against M101 on chromosomes 1, 2, 3, 4 and 7 and seven against M64 on chromosomes 1, 4, 5, 6 and 12, with no QTL in common against both. Notably, <jats:italic>qM101_2</jats:italic> is within the 500 kb linkage disequilibrium (LD) block containing the known resistance gene <jats:italic>Pib</jats:italic> on chromosome 2, and <jats:italic>qM64_12</jats:italic>.<jats:italic>1</jats:italic> and <jats:italic>qM64_12</jats:italic>.<jats:italic>2</jats:italic> are within the <jats:italic>Pi‐ta</jats:italic> and <jats:italic>Ptr</jats:italic> gene cluster on chromosome 12. The remaining nine QTLs represented novel blast disease resistance sources. The identified candidate genes, including those encoding nucleotide‐binding site leucine‐rich repeats domains, protein kinases, resistance gene analogues and pathogenesis‐related proteins, may serve as a foundation for further studies to explore their potential role in enhancing disease resistance in rice. |
| format | Journal Article |
| id | CGSpace172922 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1729222025-11-12T04:55:57Z Unravelling candidate genes associated with blast disease resistance in an elite green super rice varietal panel using genome-wide association study Saxena, Harshita Murugaiyan, Varunseelan Ghimire, Bikash Robiso, Christian John De Asis, Erik Jon Yanoria, Mary Jeanie Raymer, Paul L. Bahri, Bochra Amina Ali, Jauhar oryza sativa Magnaporthe oryzae Disease resistance resistance genes quantitative trait loci Single nucleotide polymorphism breeding programmes crop improvement Rice blast disease, caused by the filamentous fungus <jats:italic>Magnaporthe oryzae</jats:italic>, significantly threatens global rice crops leading to yield losses worldwide. Given that existing resistance genes often fail to control rice blast due to the evolution of new virulent strains, identifying novel genes using modern breeding tools to enhance partial resistance is crucial for developing more durable and effective control measures. Here, we used a genome‐wide association study (GWAS) with 2698 high‐throughput single‐nucleotide polymorphism (SNP) markers to analyse 134 rice cultivars from the Green Super Rice breeding programme against two virulent rice blast isolates, M101‐1‐2‐9‐1 (M101) and M64‐1‐3‐9‐1 (M64). GWAS identified 12 potential quantitative trait loci (QTLs) for blast resistance: five against M101 on chromosomes 1, 2, 3, 4 and 7 and seven against M64 on chromosomes 1, 4, 5, 6 and 12, with no QTL in common against both. Notably, <jats:italic>qM101_2</jats:italic> is within the 500 kb linkage disequilibrium (LD) block containing the known resistance gene <jats:italic>Pib</jats:italic> on chromosome 2, and <jats:italic>qM64_12</jats:italic>.<jats:italic>1</jats:italic> and <jats:italic>qM64_12</jats:italic>.<jats:italic>2</jats:italic> are within the <jats:italic>Pi‐ta</jats:italic> and <jats:italic>Ptr</jats:italic> gene cluster on chromosome 12. The remaining nine QTLs represented novel blast disease resistance sources. The identified candidate genes, including those encoding nucleotide‐binding site leucine‐rich repeats domains, protein kinases, resistance gene analogues and pathogenesis‐related proteins, may serve as a foundation for further studies to explore their potential role in enhancing disease resistance in rice. 2025-05 2025-02-11T01:15:14Z 2025-02-11T01:15:14Z Journal Article https://hdl.handle.net/10568/172922 en Open Access application/pdf Wiley Saxena, Harshita, Varunseelan Murugaiyan, Bikash Ghimire, Christian John Robiso, Erik Jon De Asis, Mary Jeanie Yanoria, Paul L. Raymer, Bochra Amina Bahri, and Jauhar Ali (2025). Unravelling candidate genes associated with blast disease resistance in an elite green super rice varietal panel using genome-wide association study. Plant Pathology (2025): 1-17. |
| spellingShingle | oryza sativa Magnaporthe oryzae Disease resistance resistance genes quantitative trait loci Single nucleotide polymorphism breeding programmes crop improvement Saxena, Harshita Murugaiyan, Varunseelan Ghimire, Bikash Robiso, Christian John De Asis, Erik Jon Yanoria, Mary Jeanie Raymer, Paul L. Bahri, Bochra Amina Ali, Jauhar Unravelling candidate genes associated with blast disease resistance in an elite green super rice varietal panel using genome-wide association study |
| title | Unravelling candidate genes associated with blast disease resistance in an elite green super rice varietal panel using genome-wide association study |
| title_full | Unravelling candidate genes associated with blast disease resistance in an elite green super rice varietal panel using genome-wide association study |
| title_fullStr | Unravelling candidate genes associated with blast disease resistance in an elite green super rice varietal panel using genome-wide association study |
| title_full_unstemmed | Unravelling candidate genes associated with blast disease resistance in an elite green super rice varietal panel using genome-wide association study |
| title_short | Unravelling candidate genes associated with blast disease resistance in an elite green super rice varietal panel using genome-wide association study |
| title_sort | unravelling candidate genes associated with blast disease resistance in an elite green super rice varietal panel using genome wide association study |
| topic | oryza sativa Magnaporthe oryzae Disease resistance resistance genes quantitative trait loci Single nucleotide polymorphism breeding programmes crop improvement |
| url | https://hdl.handle.net/10568/172922 |
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