Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maíz
Maize ears are regularly infected with Fusarium verticillioides (FV), Fusarium graminearum (FG) and Ustilago maydis (UM), which causes reduction of grain yield and quality. However, conventional breeding can be hampered by the complex genetic architecture of disease resistance. In this regard, Genom...
| Autores principales: | , , , |
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| Formato: | info:ar-repo/semantics/documento de conferencia |
| Lenguaje: | Español |
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Asociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires
2024
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/16787 |
| _version_ | 1855037556050100224 |
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| author | Montenegro, Lucía Daniela Baricalla, Agustín Ariel Perdomo, Santiago I. Iglesias, Juliana |
| author_browse | Baricalla, Agustín Ariel Iglesias, Juliana Montenegro, Lucía Daniela Perdomo, Santiago I. |
| author_facet | Montenegro, Lucía Daniela Baricalla, Agustín Ariel Perdomo, Santiago I. Iglesias, Juliana |
| author_sort | Montenegro, Lucía Daniela |
| collection | INTA Digital |
| description | Maize ears are regularly infected with Fusarium verticillioides (FV), Fusarium graminearum (FG) and Ustilago maydis (UM), which causes reduction of grain yield and quality. However, conventional breeding can be hampered by the complex genetic architecture of disease resistance. In this regard, Genome Wide Association Study (GWAS) based on genotype (SNP)-phenotype association, is effective to identify disease resistance QTLs. The objective of this work was to identify genomic regions associated to multiple disease resistance (MDR) to FV, FG and UM, in a panel of 63 maize inbred lines from the EEA INTA Pergamino Maize Breeding Program, through a GWAS study. Trials for phenotypic evaluation were planted in two environments for FV and FG and in five environments for UM. Genotyping was based on Illumina® MaizeSNP50 BeadChip. Best linear unbiased estimator (BLUE) of the phenotypic data were obtained. Linkage disequilibrium and association analysis were performed by TASSEL. Four candidate bins were obtained for resistance to FV, 10 bins to FG and 7 bins to UM. In particular, bins 2.05 and 2.09 were associated with MDR. The results obtained include genes involved in pathogen recognition and signaling pathways for disease resistance. This work describes for the first time candidates genes associated to MDR in Argentinian germplasm. |
| format | info:ar-repo/semantics/documento de conferencia |
| id | INTA16787 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Español |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Asociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires |
| publisherStr | Asociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires |
| record_format | dspace |
| spelling | INTA167872024-02-23T16:45:58Z Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maíz Montenegro, Lucía Daniela Baricalla, Agustín Ariel Perdomo, Santiago I. Iglesias, Juliana Maíz Enfermedades de las Plantas Fusarium Ustilago maydis Desequilibrio de Ligamiento Maize Plant Diseases Linkage Disequilibrium Fusarium graminearum Fusarium verticillioides Maize ears are regularly infected with Fusarium verticillioides (FV), Fusarium graminearum (FG) and Ustilago maydis (UM), which causes reduction of grain yield and quality. However, conventional breeding can be hampered by the complex genetic architecture of disease resistance. In this regard, Genome Wide Association Study (GWAS) based on genotype (SNP)-phenotype association, is effective to identify disease resistance QTLs. The objective of this work was to identify genomic regions associated to multiple disease resistance (MDR) to FV, FG and UM, in a panel of 63 maize inbred lines from the EEA INTA Pergamino Maize Breeding Program, through a GWAS study. Trials for phenotypic evaluation were planted in two environments for FV and FG and in five environments for UM. Genotyping was based on Illumina® MaizeSNP50 BeadChip. Best linear unbiased estimator (BLUE) of the phenotypic data were obtained. Linkage disequilibrium and association analysis were performed by TASSEL. Four candidate bins were obtained for resistance to FV, 10 bins to FG and 7 bins to UM. In particular, bins 2.05 and 2.09 were associated with MDR. The results obtained include genes involved in pathogen recognition and signaling pathways for disease resistance. This work describes for the first time candidates genes associated to MDR in Argentinian germplasm. EEA Pergamino Fil: Montenegro, L. D. Universidad Nacional del Noroeste de la Provincia de Buenos Aires; Argentina Fil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; Argentina Fil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires - Universidad Nacional de San Antonio de Areco - Consejo Nacional de Investigaciones Científicas y Técnicas - (UNNOBA - UNSAdA - CONICET). Centro de Investigaciones y Transferencias del Noroeste de la Provincia de Buenos Aires (CITNOBA); Argentina Fil: Perdomo, S. I. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; Argentina Fil: Iglesias, Juliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Maíz; Argentina Fil: Iglesias, Juliana. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Agrarias, Naturales y Ambientales; Argentina 2024-02-23T16:40:02Z 2024-02-23T16:40:02Z 2022-11 info:ar-repo/semantics/documento de conferencia info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/16787 spa 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 Asociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires XII Congreso Nacional de Maíz "Maízificando conciencia", Pergamino, Buenos Aires, 8 al 10 de Noviembre de 2022. p. 3-9 |
| spellingShingle | Maíz Enfermedades de las Plantas Fusarium Ustilago maydis Desequilibrio de Ligamiento Maize Plant Diseases Linkage Disequilibrium Fusarium graminearum Fusarium verticillioides Montenegro, Lucía Daniela Baricalla, Agustín Ariel Perdomo, Santiago I. Iglesias, Juliana Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maíz |
| title | Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maíz |
| title_full | Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maíz |
| title_fullStr | Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maíz |
| title_full_unstemmed | Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maíz |
| title_short | Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maíz |
| title_sort | identificacion de regiones genicas candidatas para resistencia multiple a enfermedades de espiga en maiz |
| topic | Maíz Enfermedades de las Plantas Fusarium Ustilago maydis Desequilibrio de Ligamiento Maize Plant Diseases Linkage Disequilibrium Fusarium graminearum Fusarium verticillioides |
| url | http://hdl.handle.net/20.500.12123/16787 |
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