Association mapping in sunflower for sclerotinia head rot resistance
Background: Sclerotinia Head Rot (SHR) is one of the most damaging diseases of sunflower in Europe, Argentina, and USA, causing average yield reductions of 10 to 20 %, but leading to total production loss under favorable environmental conditions for the pathogen. Association Mapping (AM) is a promis...
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todo:paper_14712229_v12_n_p_Fusari2023-10-03T16:17:49Z Association mapping in sunflower for sclerotinia head rot resistance Fusari, C.M. Di Rienzo, J.A. Troglia, C. Nishinakamasu, V. Moreno, M.V. Maringolo, C. Quiroz, F. Álvarez, D. Escande, A. Hopp, E. Heinz, R. Lia, V.V. Paniego, N.B. Brassica napus Helianthus Sclerotinia Sclerotinia sclerotiorum plant DNA article Ascomycetes chromosome map crop disease resistance DNA sequence genetics genotype immunology inbreeding methodology microbiology molecular genetics nucleotide sequence pathogenicity phenotype plant disease plant gene quantitative trait locus rapeseed sunflower Ascomycota Base Sequence Brassica napus Chromosome Mapping Crops, Agricultural Disease Resistance DNA, Plant Genes, Plant Genotype Helianthus Inbreeding Molecular Sequence Data Phenotype Plant Diseases Quantitative Trait Loci Sequence Analysis, DNA Background: Sclerotinia Head Rot (SHR) is one of the most damaging diseases of sunflower in Europe, Argentina, and USA, causing average yield reductions of 10 to 20 %, but leading to total production loss under favorable environmental conditions for the pathogen. Association Mapping (AM) is a promising choice for Quantitative Trait Locus (QTL) mapping, as it detects relationships between phenotypic variation and gene polymorphisms in existing germplasm without development of mapping populations. This article reports the identification of QTL for resistance to SHR based on candidate gene AM.Results: A collection of 94 sunflower inbred lines were tested for SHR under field conditions using assisted inoculation with the fungal pathogen Sclerotinia sclerotiorum. Given that no biological mechanisms or biochemical pathways have been clearly identified for SHR, 43 candidate genes were selected based on previous transcript profiling studies in sunflower and Brassica napus infected with S. sclerotiorum. Associations among SHR incidence and haplotype polymorphisms in 16 candidate genes were tested using Mixed Linear Models (MLM) that account for population structure and kinship relationships. This approach allowed detection of a significant association between the candidate gene HaRIC_B and SHR incidence (P < 0.01), accounting for a SHR incidence reduction of about 20 %.Conclusions: These results suggest that AM will be useful in dissecting other complex traits in sunflower, thus providing a valuable tool to assist in crop breeding. © 2012 Fusari et al.; licensee Biomed Central Ltd. Fil:Fusari, C.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Moreno, M.V. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Hopp, E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Heinz, R. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Lia, V.V. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_14712229_v12_n_p_Fusari |
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Universidad de Buenos Aires |
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I-28 |
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R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Brassica napus Helianthus Sclerotinia Sclerotinia sclerotiorum plant DNA article Ascomycetes chromosome map crop disease resistance DNA sequence genetics genotype immunology inbreeding methodology microbiology molecular genetics nucleotide sequence pathogenicity phenotype plant disease plant gene quantitative trait locus rapeseed sunflower Ascomycota Base Sequence Brassica napus Chromosome Mapping Crops, Agricultural Disease Resistance DNA, Plant Genes, Plant Genotype Helianthus Inbreeding Molecular Sequence Data Phenotype Plant Diseases Quantitative Trait Loci Sequence Analysis, DNA |
| spellingShingle |
Brassica napus Helianthus Sclerotinia Sclerotinia sclerotiorum plant DNA article Ascomycetes chromosome map crop disease resistance DNA sequence genetics genotype immunology inbreeding methodology microbiology molecular genetics nucleotide sequence pathogenicity phenotype plant disease plant gene quantitative trait locus rapeseed sunflower Ascomycota Base Sequence Brassica napus Chromosome Mapping Crops, Agricultural Disease Resistance DNA, Plant Genes, Plant Genotype Helianthus Inbreeding Molecular Sequence Data Phenotype Plant Diseases Quantitative Trait Loci Sequence Analysis, DNA Fusari, C.M. Di Rienzo, J.A. Troglia, C. Nishinakamasu, V. Moreno, M.V. Maringolo, C. Quiroz, F. Álvarez, D. Escande, A. Hopp, E. Heinz, R. Lia, V.V. Paniego, N.B. Association mapping in sunflower for sclerotinia head rot resistance |
| topic_facet |
Brassica napus Helianthus Sclerotinia Sclerotinia sclerotiorum plant DNA article Ascomycetes chromosome map crop disease resistance DNA sequence genetics genotype immunology inbreeding methodology microbiology molecular genetics nucleotide sequence pathogenicity phenotype plant disease plant gene quantitative trait locus rapeseed sunflower Ascomycota Base Sequence Brassica napus Chromosome Mapping Crops, Agricultural Disease Resistance DNA, Plant Genes, Plant Genotype Helianthus Inbreeding Molecular Sequence Data Phenotype Plant Diseases Quantitative Trait Loci Sequence Analysis, DNA |
| description |
Background: Sclerotinia Head Rot (SHR) is one of the most damaging diseases of sunflower in Europe, Argentina, and USA, causing average yield reductions of 10 to 20 %, but leading to total production loss under favorable environmental conditions for the pathogen. Association Mapping (AM) is a promising choice for Quantitative Trait Locus (QTL) mapping, as it detects relationships between phenotypic variation and gene polymorphisms in existing germplasm without development of mapping populations. This article reports the identification of QTL for resistance to SHR based on candidate gene AM.Results: A collection of 94 sunflower inbred lines were tested for SHR under field conditions using assisted inoculation with the fungal pathogen Sclerotinia sclerotiorum. Given that no biological mechanisms or biochemical pathways have been clearly identified for SHR, 43 candidate genes were selected based on previous transcript profiling studies in sunflower and Brassica napus infected with S. sclerotiorum. Associations among SHR incidence and haplotype polymorphisms in 16 candidate genes were tested using Mixed Linear Models (MLM) that account for population structure and kinship relationships. This approach allowed detection of a significant association between the candidate gene HaRIC_B and SHR incidence (P < 0.01), accounting for a SHR incidence reduction of about 20 %.Conclusions: These results suggest that AM will be useful in dissecting other complex traits in sunflower, thus providing a valuable tool to assist in crop breeding. © 2012 Fusari et al.; licensee Biomed Central Ltd. |
| format |
JOUR |
| author |
Fusari, C.M. Di Rienzo, J.A. Troglia, C. Nishinakamasu, V. Moreno, M.V. Maringolo, C. Quiroz, F. Álvarez, D. Escande, A. Hopp, E. Heinz, R. Lia, V.V. Paniego, N.B. |
| author_facet |
Fusari, C.M. Di Rienzo, J.A. Troglia, C. Nishinakamasu, V. Moreno, M.V. Maringolo, C. Quiroz, F. Álvarez, D. Escande, A. Hopp, E. Heinz, R. Lia, V.V. Paniego, N.B. |
| author_sort |
Fusari, C.M. |
| title |
Association mapping in sunflower for sclerotinia head rot resistance |
| title_short |
Association mapping in sunflower for sclerotinia head rot resistance |
| title_full |
Association mapping in sunflower for sclerotinia head rot resistance |
| title_fullStr |
Association mapping in sunflower for sclerotinia head rot resistance |
| title_full_unstemmed |
Association mapping in sunflower for sclerotinia head rot resistance |
| title_sort |
association mapping in sunflower for sclerotinia head rot resistance |
| url |
http://hdl.handle.net/20.500.12110/paper_14712229_v12_n_p_Fusari |
| work_keys_str_mv |
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1807317146855800832 |