Combining Linkage and Association Mapping Approaches to Study the Genetic Architecture of Verticillium Wilt Resistance in Sunflower
Sunflower Verticillium Wilt and Leaf Mottle (SVW), caused by <i>Verticillium dahliae</i> Kleb., is a globally prevalent disease affecting sunflower production. In this study, we identified a major quantitative trait locus (QTL) on chromosome 10 and other genomic regions associated with S...
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2025-04-01
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| author | Juan F. Montecchia Mónica I. Fass Matías Domínguez Sergio A. González Martín N. García Carla V. Filippi Emiliano Ben Guerrero Carla Maringolo Carolina Troglia Facundo J. Quiroz Julio H. González Daniel Alvarez Ruth A. Heinz Verónica V. Lia Norma B. Paniego |
| author_facet | Juan F. Montecchia Mónica I. Fass Matías Domínguez Sergio A. González Martín N. García Carla V. Filippi Emiliano Ben Guerrero Carla Maringolo Carolina Troglia Facundo J. Quiroz Julio H. González Daniel Alvarez Ruth A. Heinz Verónica V. Lia Norma B. Paniego |
| author_sort | Juan F. Montecchia |
| collection | DOAJ |
| description | Sunflower Verticillium Wilt and Leaf Mottle (SVW), caused by <i>Verticillium dahliae</i> Kleb., is a globally prevalent disease affecting sunflower production. In this study, we identified a major quantitative trait locus (QTL) on chromosome 10 and other genomic regions associated with SVW resistance by integrating biparental and association mapping in sunflower populations from the National Institute of Agricultural Technology. Nine replicated field trials were conducted in highly infested <i>V. dahliae</i> reservoirs to assess disease incidence and severity. Both mapping populations were genotyped using double-digest restriction-site-associated DNA sequencing (ddRADseq). Association mapping with 18,161 SNPs and biparental QTL mapping with 1769 SNPs identified a major QTL on chromosome 10 explaining up to 30% of phenotypic variation for disease incidence at flowering and for the area under the disease progress curve for disease incidence, and which contributes to a lesser extent to disease severity reduction. Additional QTLs on chromosomes 17, 8, 9, 14, 13, and 11 were associated with reduced disease incidence, severity, or both. Candidate genes were identified within these associated regions, 39 of which are in the major QTL on Chromosome 10. These findings demonstrate the value of integrating complementary QTL mapping strategies for validating resistance loci and advancing sunflower breeding for SVW resistance. |
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| issn | 2223-7747 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
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| series | Plants |
| spelling | doaj-art-cd2d71b464ce45819bab69b5c06defd02025-08-20T02:28:38ZengMDPI AGPlants2223-77472025-04-01148118710.3390/plants14081187Combining Linkage and Association Mapping Approaches to Study the Genetic Architecture of Verticillium Wilt Resistance in SunflowerJuan F. Montecchia0Mónica I. Fass1Matías Domínguez2Sergio A. González3Martín N. García4Carla V. Filippi5Emiliano Ben Guerrero6Carla Maringolo7Carolina Troglia8Facundo J. Quiroz9Julio H. González10Daniel Alvarez11Ruth A. Heinz12Verónica V. Lia13Norma B. Paniego14Instituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, ArgentinaInstituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, ArgentinaEstación Experimental Agropecuaria Pergamino, INTA, Av. Frondizi km 4.5, Pergamino B2700, ArgentinaInstituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, ArgentinaInstituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, ArgentinaInstituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, ArgentinaInstituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, ArgentinaEstación Experimental Agropecuaria Balcarce, INTA, Ruta 226 km 73.5, Balcarce B7620, ArgentinaEstación Experimental Agropecuaria Balcarce, INTA, Ruta 226 km 73.5, Balcarce B7620, ArgentinaEstación Experimental Agropecuaria Balcarce, INTA, Ruta 226 km 73.5, Balcarce B7620, ArgentinaEstación Experimental Agropecuaria Pergamino, INTA, Av. Frondizi km 4.5, Pergamino B2700, ArgentinaEstación Experimental Agropecuaria Manfredi, INTA, Ruta Nac. 9 km 636, Manfredi X5988, ArgentinaInstituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, ArgentinaInstituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, ArgentinaInstituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, ArgentinaSunflower Verticillium Wilt and Leaf Mottle (SVW), caused by <i>Verticillium dahliae</i> Kleb., is a globally prevalent disease affecting sunflower production. In this study, we identified a major quantitative trait locus (QTL) on chromosome 10 and other genomic regions associated with SVW resistance by integrating biparental and association mapping in sunflower populations from the National Institute of Agricultural Technology. Nine replicated field trials were conducted in highly infested <i>V. dahliae</i> reservoirs to assess disease incidence and severity. Both mapping populations were genotyped using double-digest restriction-site-associated DNA sequencing (ddRADseq). Association mapping with 18,161 SNPs and biparental QTL mapping with 1769 SNPs identified a major QTL on chromosome 10 explaining up to 30% of phenotypic variation for disease incidence at flowering and for the area under the disease progress curve for disease incidence, and which contributes to a lesser extent to disease severity reduction. Additional QTLs on chromosomes 17, 8, 9, 14, 13, and 11 were associated with reduced disease incidence, severity, or both. Candidate genes were identified within these associated regions, 39 of which are in the major QTL on Chromosome 10. These findings demonstrate the value of integrating complementary QTL mapping strategies for validating resistance loci and advancing sunflower breeding for SVW resistance.https://www.mdpi.com/2223-7747/14/8/1187<i>Verticillium dahliae</i>biparental QTL mappinggenome-wide association studiesddRADseqcrop disease resistance |
| spellingShingle | Juan F. Montecchia Mónica I. Fass Matías Domínguez Sergio A. González Martín N. García Carla V. Filippi Emiliano Ben Guerrero Carla Maringolo Carolina Troglia Facundo J. Quiroz Julio H. González Daniel Alvarez Ruth A. Heinz Verónica V. Lia Norma B. Paniego Combining Linkage and Association Mapping Approaches to Study the Genetic Architecture of Verticillium Wilt Resistance in Sunflower Plants <i>Verticillium dahliae</i> biparental QTL mapping genome-wide association studies ddRADseq crop disease resistance |
| title | Combining Linkage and Association Mapping Approaches to Study the Genetic Architecture of Verticillium Wilt Resistance in Sunflower |
| title_full | Combining Linkage and Association Mapping Approaches to Study the Genetic Architecture of Verticillium Wilt Resistance in Sunflower |
| title_fullStr | Combining Linkage and Association Mapping Approaches to Study the Genetic Architecture of Verticillium Wilt Resistance in Sunflower |
| title_full_unstemmed | Combining Linkage and Association Mapping Approaches to Study the Genetic Architecture of Verticillium Wilt Resistance in Sunflower |
| title_short | Combining Linkage and Association Mapping Approaches to Study the Genetic Architecture of Verticillium Wilt Resistance in Sunflower |
| title_sort | combining linkage and association mapping approaches to study the genetic architecture of verticillium wilt resistance in sunflower |
| topic | <i>Verticillium dahliae</i> biparental QTL mapping genome-wide association studies ddRADseq crop disease resistance |
| url | https://www.mdpi.com/2223-7747/14/8/1187 |
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