Combining Linkage and Association Mapping Approaches to Study the Genetic Architecture of Verticillium Wilt Resistance in Sunflower
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
Affiliations
Juan F. Montecchia
Instituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
Mónica I. Fass
Instituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
Matías Domínguez
Estación Experimental Agropecuaria Pergamino, INTA, Av. Frondizi km 4.5, Pergamino B2700, Argentina
Sergio A. González
Instituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
Martín N. García
Instituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
Carla V. Filippi
Instituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
Emiliano Ben Guerrero
Instituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
Carla Maringolo
Estación Experimental Agropecuaria Balcarce, INTA, Ruta 226 km 73.5, Balcarce B7620, Argentina
Carolina Troglia
Estación Experimental Agropecuaria Balcarce, INTA, Ruta 226 km 73.5, Balcarce B7620, Argentina
Facundo J. Quiroz
Estación Experimental Agropecuaria Balcarce, INTA, Ruta 226 km 73.5, Balcarce B7620, Argentina
Julio H. González
Estación Experimental Agropecuaria Pergamino, INTA, Av. Frondizi km 4.5, Pergamino B2700, Argentina
Daniel Alvarez
Estación Experimental Agropecuaria Manfredi, INTA, Ruta Nac. 9 km 636, Manfredi X5988, Argentina
Ruth A. Heinz
Instituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
Verónica V. Lia
Instituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
Norma B. Paniego
Instituto de Agrobiotecnología y Biología Molecular—IABIMO—INTA-CONICET, Instituto de Biotecnología, Centro de Investigaciones de Ciencias Veterinarias y Agronómicas, INTA, Hurlingham B1686, Argentina
Sunflower Verticillium Wilt and Leaf Mottle (SVW), caused by Verticillium dahliae 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 V. dahliae 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.