Genome-wide association study of resistance to Mal de Río Cuarto disease in maize
- Autores
- Rossi, Ezequiel Alejandro; Ruiz, Marcos; Bonamico, Natalia Cecilia; Balzarini, Monica Graciela
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Argentine maize has been extensively screened for incidence (INC) and severity (SEV) of Mal de Río Cuarto disease (MRC), caused by Mal de Río Cuarto virus (MRCV), family Reoviridae, genus Fijivirus, narrowing the breeding genetic basis. Both traits are highly heritable phenotypic measurements, and quantify the strong disease impact on grain yield. The adaptation of exotic germplasm to variation of those traits has not been explored. The aim of this work was to identify, in a non-local and diverse panel of maize inbred lines, novel genomic regions associated with resistance to MRC. First, we phenotyped 206 maize inbred lines from the International Maize and Wheat Improvement Center (CIMMYT), in several environments of the MRC-endemic area under natural virus infection, to obtain the best linear unbiased predictor (BLUP) of line effects regarding INC and SEV. A multi-environment and multi-trait mixed linear model was fitted to derive the multivariate BLUPs. Genetic variance and mean-basis heritability were high in both traits and a significant genetic correlation among them was found. Second, we performed a genome-wide association study (GWAS) by linking the BLUPs with 78,376 SNP markers available for 186 lines. The GWAS identified new alleles for resistance to MRC in six genomic regions from the exotic germoplasm. Four of them reduce symultaneously the appearance and severity of disease symptoms. Improved susceptible parental lines through marker-assisted recurrent selection would allow us to increase the resistance of maize hybrids to MRC disease.
Fil: Rossi, Ezequiel Alejandro. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Investigaciones Agrobiotecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Investigaciones Agrobiotecnologicas.; Argentina
Fil: Ruiz, Marcos. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Investigaciones Agrobiotecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Investigaciones Agrobiotecnologicas.; Argentina
Fil: Bonamico, Natalia Cecilia. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Investigaciones Agrobiotecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Investigaciones Agrobiotecnologicas.; Argentina
Fil: Balzarini, Monica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; Argentina - Materia
-
Exotic germplasm
Maize inbred lines
Mal de Rio Cuarto
Resistance alleles - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/146047
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Genome-wide association study of resistance to Mal de Río Cuarto disease in maizeRossi, Ezequiel AlejandroRuiz, MarcosBonamico, Natalia CeciliaBalzarini, Monica GracielaExotic germplasmMaize inbred linesMal de Rio CuartoResistance alleleshttps://purl.org/becyt/ford/4.4https://purl.org/becyt/ford/4Argentine maize has been extensively screened for incidence (INC) and severity (SEV) of Mal de Río Cuarto disease (MRC), caused by Mal de Río Cuarto virus (MRCV), family Reoviridae, genus Fijivirus, narrowing the breeding genetic basis. Both traits are highly heritable phenotypic measurements, and quantify the strong disease impact on grain yield. The adaptation of exotic germplasm to variation of those traits has not been explored. The aim of this work was to identify, in a non-local and diverse panel of maize inbred lines, novel genomic regions associated with resistance to MRC. First, we phenotyped 206 maize inbred lines from the International Maize and Wheat Improvement Center (CIMMYT), in several environments of the MRC-endemic area under natural virus infection, to obtain the best linear unbiased predictor (BLUP) of line effects regarding INC and SEV. A multi-environment and multi-trait mixed linear model was fitted to derive the multivariate BLUPs. Genetic variance and mean-basis heritability were high in both traits and a significant genetic correlation among them was found. Second, we performed a genome-wide association study (GWAS) by linking the BLUPs with 78,376 SNP markers available for 186 lines. The GWAS identified new alleles for resistance to MRC in six genomic regions from the exotic germoplasm. Four of them reduce symultaneously the appearance and severity of disease symptoms. Improved susceptible parental lines through marker-assisted recurrent selection would allow us to increase the resistance of maize hybrids to MRC disease.Fil: Rossi, Ezequiel Alejandro. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Investigaciones Agrobiotecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Investigaciones Agrobiotecnologicas.; ArgentinaFil: Ruiz, Marcos. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Investigaciones Agrobiotecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Investigaciones Agrobiotecnologicas.; ArgentinaFil: Bonamico, Natalia Cecilia. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Investigaciones Agrobiotecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Investigaciones Agrobiotecnologicas.; ArgentinaFil: Balzarini, Monica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; ArgentinaAmerican Society of Agronomy2020-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/146047Rossi, Ezequiel Alejandro; Ruiz, Marcos; Bonamico, Natalia Cecilia; Balzarini, Monica Graciela; Genome-wide association study of resistance to Mal de Río Cuarto disease in maize; American Society of Agronomy; Agronomy Journal; 112; 6; 11-2020; 4624-46330002-1962CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://acsess.onlinelibrary.wiley.com/doi/full/10.1002/agj2.20448info:eu-repo/semantics/altIdentifier/doi/10.1002/agj2.20448info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:16:03Zoai:ri.conicet.gov.ar:11336/146047instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:16:03.619CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Genome-wide association study of resistance to Mal de Río Cuarto disease in maize |
title |
Genome-wide association study of resistance to Mal de Río Cuarto disease in maize |
spellingShingle |
Genome-wide association study of resistance to Mal de Río Cuarto disease in maize Rossi, Ezequiel Alejandro Exotic germplasm Maize inbred lines Mal de Rio Cuarto Resistance alleles |
title_short |
Genome-wide association study of resistance to Mal de Río Cuarto disease in maize |
title_full |
Genome-wide association study of resistance to Mal de Río Cuarto disease in maize |
title_fullStr |
Genome-wide association study of resistance to Mal de Río Cuarto disease in maize |
title_full_unstemmed |
Genome-wide association study of resistance to Mal de Río Cuarto disease in maize |
title_sort |
Genome-wide association study of resistance to Mal de Río Cuarto disease in maize |
dc.creator.none.fl_str_mv |
Rossi, Ezequiel Alejandro Ruiz, Marcos Bonamico, Natalia Cecilia Balzarini, Monica Graciela |
author |
Rossi, Ezequiel Alejandro |
author_facet |
Rossi, Ezequiel Alejandro Ruiz, Marcos Bonamico, Natalia Cecilia Balzarini, Monica Graciela |
author_role |
author |
author2 |
Ruiz, Marcos Bonamico, Natalia Cecilia Balzarini, Monica Graciela |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Exotic germplasm Maize inbred lines Mal de Rio Cuarto Resistance alleles |
topic |
Exotic germplasm Maize inbred lines Mal de Rio Cuarto Resistance alleles |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.4 https://purl.org/becyt/ford/4 |
dc.description.none.fl_txt_mv |
Argentine maize has been extensively screened for incidence (INC) and severity (SEV) of Mal de Río Cuarto disease (MRC), caused by Mal de Río Cuarto virus (MRCV), family Reoviridae, genus Fijivirus, narrowing the breeding genetic basis. Both traits are highly heritable phenotypic measurements, and quantify the strong disease impact on grain yield. The adaptation of exotic germplasm to variation of those traits has not been explored. The aim of this work was to identify, in a non-local and diverse panel of maize inbred lines, novel genomic regions associated with resistance to MRC. First, we phenotyped 206 maize inbred lines from the International Maize and Wheat Improvement Center (CIMMYT), in several environments of the MRC-endemic area under natural virus infection, to obtain the best linear unbiased predictor (BLUP) of line effects regarding INC and SEV. A multi-environment and multi-trait mixed linear model was fitted to derive the multivariate BLUPs. Genetic variance and mean-basis heritability were high in both traits and a significant genetic correlation among them was found. Second, we performed a genome-wide association study (GWAS) by linking the BLUPs with 78,376 SNP markers available for 186 lines. The GWAS identified new alleles for resistance to MRC in six genomic regions from the exotic germoplasm. Four of them reduce symultaneously the appearance and severity of disease symptoms. Improved susceptible parental lines through marker-assisted recurrent selection would allow us to increase the resistance of maize hybrids to MRC disease. Fil: Rossi, Ezequiel Alejandro. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Investigaciones Agrobiotecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Investigaciones Agrobiotecnologicas.; Argentina Fil: Ruiz, Marcos. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Investigaciones Agrobiotecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Investigaciones Agrobiotecnologicas.; Argentina Fil: Bonamico, Natalia Cecilia. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Investigaciones Agrobiotecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Investigaciones Agrobiotecnologicas.; Argentina Fil: Balzarini, Monica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Departamento de Desarrollo Rural. Area de Estadística y Biometría; Argentina |
description |
Argentine maize has been extensively screened for incidence (INC) and severity (SEV) of Mal de Río Cuarto disease (MRC), caused by Mal de Río Cuarto virus (MRCV), family Reoviridae, genus Fijivirus, narrowing the breeding genetic basis. Both traits are highly heritable phenotypic measurements, and quantify the strong disease impact on grain yield. The adaptation of exotic germplasm to variation of those traits has not been explored. The aim of this work was to identify, in a non-local and diverse panel of maize inbred lines, novel genomic regions associated with resistance to MRC. First, we phenotyped 206 maize inbred lines from the International Maize and Wheat Improvement Center (CIMMYT), in several environments of the MRC-endemic area under natural virus infection, to obtain the best linear unbiased predictor (BLUP) of line effects regarding INC and SEV. A multi-environment and multi-trait mixed linear model was fitted to derive the multivariate BLUPs. Genetic variance and mean-basis heritability were high in both traits and a significant genetic correlation among them was found. Second, we performed a genome-wide association study (GWAS) by linking the BLUPs with 78,376 SNP markers available for 186 lines. The GWAS identified new alleles for resistance to MRC in six genomic regions from the exotic germoplasm. Four of them reduce symultaneously the appearance and severity of disease symptoms. Improved susceptible parental lines through marker-assisted recurrent selection would allow us to increase the resistance of maize hybrids to MRC disease. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/146047 Rossi, Ezequiel Alejandro; Ruiz, Marcos; Bonamico, Natalia Cecilia; Balzarini, Monica Graciela; Genome-wide association study of resistance to Mal de Río Cuarto disease in maize; American Society of Agronomy; Agronomy Journal; 112; 6; 11-2020; 4624-4633 0002-1962 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/146047 |
identifier_str_mv |
Rossi, Ezequiel Alejandro; Ruiz, Marcos; Bonamico, Natalia Cecilia; Balzarini, Monica Graciela; Genome-wide association study of resistance to Mal de Río Cuarto disease in maize; American Society of Agronomy; Agronomy Journal; 112; 6; 11-2020; 4624-4633 0002-1962 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://acsess.onlinelibrary.wiley.com/doi/full/10.1002/agj2.20448 info:eu-repo/semantics/altIdentifier/doi/10.1002/agj2.20448 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Society of Agronomy |
publisher.none.fl_str_mv |
American Society of Agronomy |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844614102083698688 |
score |
13.070432 |