Association mapping in sunflower for sclerotinia head rot resistance
<p>Abstract</p> <p>Background</p> <p>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...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2012-06-01
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| Series: | BMC Plant Biology |
| Online Access: | http://www.biomedcentral.com/1471-2229/12/93 |
| _version_ | 1811284687553822720 |
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| author | Fusari Corina M Di Rienzo Julio A Troglia Carolina Nishinakamasu Verónica Moreno María Maringolo Carla Quiroz Facundo Álvarez Daniel Escande Alberto Hopp Esteban Heinz Ruth Lia Verónica V Paniego Norma B |
| author_facet | Fusari Corina M Di Rienzo Julio A Troglia Carolina Nishinakamasu Verónica Moreno María Maringolo Carla Quiroz Facundo Álvarez Daniel Escande Alberto Hopp Esteban Heinz Ruth Lia Verónica V Paniego Norma B |
| author_sort | Fusari Corina M |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>A collection of 94 sunflower inbred lines were tested for SHR under field conditions using assisted inoculation with the fungal pathogen <it>Sclerotinia sclerotiorum</it>. 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 <it>Brassica napus</it> infected with <it>S. sclerotiorum</it>. 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 <it>HaRIC_B</it> and SHR incidence (<it>P</it> < 0.01), accounting for a SHR incidence reduction of about 20 %.</p> <p>Conclusions</p> <p>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.</p> |
| first_indexed | 2024-04-13T02:33:11Z |
| format | Article |
| id | doaj.art-c51a2e0730d742c8a5780fcc96e14f4a |
| institution | Directory Open Access Journal |
| issn | 1471-2229 |
| language | English |
| last_indexed | 2024-04-13T02:33:11Z |
| publishDate | 2012-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Plant Biology |
| spelling | doaj.art-c51a2e0730d742c8a5780fcc96e14f4a2022-12-22T03:06:30ZengBMCBMC Plant Biology1471-22292012-06-011219310.1186/1471-2229-12-93Association mapping in sunflower for sclerotinia head rot resistanceFusari Corina MDi Rienzo Julio ATroglia CarolinaNishinakamasu VerónicaMoreno MaríaMaringolo CarlaQuiroz FacundoÁlvarez DanielEscande AlbertoHopp EstebanHeinz RuthLia Verónica VPaniego Norma B<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>A collection of 94 sunflower inbred lines were tested for SHR under field conditions using assisted inoculation with the fungal pathogen <it>Sclerotinia sclerotiorum</it>. 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 <it>Brassica napus</it> infected with <it>S. sclerotiorum</it>. 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 <it>HaRIC_B</it> and SHR incidence (<it>P</it> < 0.01), accounting for a SHR incidence reduction of about 20 %.</p> <p>Conclusions</p> <p>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.</p>http://www.biomedcentral.com/1471-2229/12/93 |
| spellingShingle | Fusari Corina M Di Rienzo Julio A Troglia Carolina Nishinakamasu Verónica Moreno María Maringolo Carla Quiroz Facundo Álvarez Daniel Escande Alberto Hopp Esteban Heinz Ruth Lia Verónica V Paniego Norma B Association mapping in sunflower for sclerotinia head rot resistance BMC Plant Biology |
| 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 |
| url | http://www.biomedcentral.com/1471-2229/12/93 |
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