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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| Format: | Artículo |
| Language: | Inglés |
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BMC
2019
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| Online Access: | https://bmcplantbiol.biomedcentral.com/articles/10.1186/1471-2229-12-93 http://hdl.handle.net/20.500.12123/4339 https://doi.org/10.1186/1471-2229-12-93 |
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| author | Fusari, Corina Mariana Di Rienzo, Julio A. Troglia, Carolina Beatriz Nishinakamasu, Veronica Moreno, Maria Valeria Maringolo, Carla Andrea Quiroz, Facundo Jose Alvarez, Daniel Escande, Alberto Hopp, Horacio Esteban Heinz, Ruth Amelia Lia, Veronica Viviana Paniego, Norma Beatriz |
| author_browse | Alvarez, Daniel Di Rienzo, Julio A. Escande, Alberto Fusari, Corina Mariana Heinz, Ruth Amelia Hopp, Horacio Esteban Lia, Veronica Viviana Maringolo, Carla Andrea Moreno, Maria Valeria Nishinakamasu, Veronica Paniego, Norma Beatriz Quiroz, Facundo Jose Troglia, Carolina Beatriz |
| author_facet | Fusari, Corina Mariana Di Rienzo, Julio A. Troglia, Carolina Beatriz Nishinakamasu, Veronica Moreno, Maria Valeria Maringolo, Carla Andrea Quiroz, Facundo Jose Alvarez, Daniel Escande, Alberto Hopp, Horacio Esteban Heinz, Ruth Amelia Lia, Veronica Viviana Paniego, Norma Beatriz |
| author_sort | Fusari, Corina Mariana |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA4339 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | BMC |
| publisherStr | BMC |
| record_format | dspace |
| spelling | INTA43392019-01-28T13:57:23Z Association mapping in sunflower for sclerotinia head rot resistance Fusari, Corina Mariana Di Rienzo, Julio A. Troglia, Carolina Beatriz Nishinakamasu, Veronica Moreno, Maria Valeria Maringolo, Carla Andrea Quiroz, Facundo Jose Alvarez, Daniel Escande, Alberto Hopp, Horacio Esteban Heinz, Ruth Amelia Lia, Veronica Viviana Paniego, Norma Beatriz Helianthus Annuus Enfermedades de las Plantas Sclerotinia Resistencia a la Enfermedad Loci de Rasgos Cuantitativos Sclerotinia sclerotiorum Plant Diseases Disease Resistance Quantitative Trait Loci Girasol QTL 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. Instituto de Biotecnología Fil: Fusari, Corina Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Di Rienzo, Julio A. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina Fil: Troglia, Carolina Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina Fil: Nishinakamasu, Veronica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Moreno, Maria Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina Fil: Maringolo, Carla Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina Fil: Quiroz, Facundo Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina Fil: Alvarez, Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina Fil: Escande, Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Fil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Lia, Veronica Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina 2019-01-28T13:55:53Z 2019-01-28T13:55:53Z 2012-06 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://bmcplantbiol.biomedcentral.com/articles/10.1186/1471-2229-12-93 http://hdl.handle.net/20.500.12123/4339 1471-2229 https://doi.org/10.1186/1471-2229-12-93 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf BMC BMC Plant Biology 12 : 93 (2012) |
| spellingShingle | Helianthus Annuus Enfermedades de las Plantas Sclerotinia Resistencia a la Enfermedad Loci de Rasgos Cuantitativos Sclerotinia sclerotiorum Plant Diseases Disease Resistance Quantitative Trait Loci Girasol QTL Fusari, Corina Mariana Di Rienzo, Julio A. Troglia, Carolina Beatriz Nishinakamasu, Veronica Moreno, Maria Valeria Maringolo, Carla Andrea Quiroz, Facundo Jose Alvarez, Daniel Escande, Alberto Hopp, Horacio Esteban Heinz, Ruth Amelia Lia, Veronica Viviana Paniego, Norma Beatriz Association mapping in sunflower for sclerotinia head rot resistance |
| title | 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_short | Association mapping in sunflower for sclerotinia head rot resistance |
| title_sort | association mapping in sunflower for sclerotinia head rot resistance |
| topic | Helianthus Annuus Enfermedades de las Plantas Sclerotinia Resistencia a la Enfermedad Loci de Rasgos Cuantitativos Sclerotinia sclerotiorum Plant Diseases Disease Resistance Quantitative Trait Loci Girasol QTL |
| url | https://bmcplantbiol.biomedcentral.com/articles/10.1186/1471-2229-12-93 http://hdl.handle.net/20.500.12123/4339 https://doi.org/10.1186/1471-2229-12-93 |
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