Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maíz

Autores
Montenegro, Lucía Daniela; Baricalla, Agustín Ariel; Perdomo, Santiago I.; Iglesias, Juliana
Año de publicación
2022
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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
Fuente
XII Congreso Nacional de Maíz "Maízificando conciencia", Pergamino, Buenos Aires, 8 al 10 de Noviembre de 2022. p. 3-9
Materia
Maíz
Enfermedades de las Plantas
Fusarium
Ustilago maydis
Desequilibrio de Ligamiento
Maize
Plant Diseases
Linkage Disequilibrium
Fusarium graminearum
Fusarium verticillioides
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/16787
Acceder
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spelling Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maízMontenegro, Lucía DanielaBaricalla, Agustín ArielPerdomo, Santiago I.Iglesias, JulianaMaízEnfermedades de las PlantasFusariumUstilago maydisDesequilibrio de LigamientoMaizePlant DiseasesLinkage DisequilibriumFusarium graminearumFusarium verticillioidesMaize 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 PergaminoFil: Montenegro, L. D. Universidad Nacional del Noroeste de la Provincia de Buenos Aires; ArgentinaFil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; ArgentinaFil: 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); ArgentinaFil: Perdomo, S. I. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; ArgentinaFil: Iglesias, Juliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Maíz; ArgentinaFil: Iglesias, Juliana. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Agrarias, Naturales y Ambientales; ArgentinaAsociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires2024-02-23T16:40:02Z2024-02-23T16:40:02Z2022-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/20.500.12123/16787XII Congreso Nacional de Maíz "Maízificando conciencia", Pergamino, Buenos Aires, 8 al 10 de Noviembre de 2022. p. 3-9reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaspainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:50:14Zoai:localhost:20.500.12123/16787instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:50:14.467INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv 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
spellingShingle Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maíz
Montenegro, Lucía Daniela
Maíz
Enfermedades de las Plantas
Fusarium
Ustilago maydis
Desequilibrio de Ligamiento
Maize
Plant Diseases
Linkage Disequilibrium
Fusarium graminearum
Fusarium verticillioides
title_short 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_sort Identificación de regiones génicas candidatas para resistencia múltiple a enfermedades de espiga en maíz
dc.creator.none.fl_str_mv Montenegro, Lucía Daniela
Baricalla, Agustín Ariel
Perdomo, Santiago I.
Iglesias, Juliana
author Montenegro, Lucía Daniela
author_facet Montenegro, Lucía Daniela
Baricalla, Agustín Ariel
Perdomo, Santiago I.
Iglesias, Juliana
author_role author
author2 Baricalla, Agustín Ariel
Perdomo, Santiago I.
Iglesias, Juliana
author2_role author
author
author
dc.subject.none.fl_str_mv Maíz
Enfermedades de las Plantas
Fusarium
Ustilago maydis
Desequilibrio de Ligamiento
Maize
Plant Diseases
Linkage Disequilibrium
Fusarium graminearum
Fusarium verticillioides
topic Maíz
Enfermedades de las Plantas
Fusarium
Ustilago maydis
Desequilibrio de Ligamiento
Maize
Plant Diseases
Linkage Disequilibrium
Fusarium graminearum
Fusarium verticillioides
dc.description.none.fl_txt_mv 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
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.
publishDate 2022
dc.date.none.fl_str_mv 2022-11
2024-02-23T16:40:02Z
2024-02-23T16:40:02Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/16787
url http://hdl.handle.net/20.500.12123/16787
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv 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)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Asociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires
publisher.none.fl_str_mv Asociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires
dc.source.none.fl_str_mv XII Congreso Nacional de Maíz "Maízificando conciencia", Pergamino, Buenos Aires, 8 al 10 de Noviembre de 2022. p. 3-9
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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