Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower
Background: Sclerotinia sclerotiorum is a necrotrophic fungus that causes Sclerotinia head rot (SHR) in sunflower, with epidemics leading to severe yield losses. In this work, we present an association mapping (AM) approach to investigate the genetic basis of natural resistance to SHR in cultivated...
| Autores: | , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/142412 |
| Acceso en línea: | http://hdl.handle.net/11336/142412 |
| Access Level: | acceso abierto |
| Palabra clave: | ARGENTINIAN GERMPLASM ASSOCIATION MAPPING DISEASE RESISTANCE SUNFLOWER https://purl.org/becyt/ford/4.4 https://purl.org/becyt/ford/4 |
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| dc.title.none.fl_str_mv |
Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower |
| title |
Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower |
| spellingShingle |
Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower Filippi, Carla Valeria ARGENTINIAN GERMPLASM ASSOCIATION MAPPING DISEASE RESISTANCE SUNFLOWER https://purl.org/becyt/ford/4.4 https://purl.org/becyt/ford/4 |
| title_short |
Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower |
| title_full |
Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower |
| title_fullStr |
Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower |
| title_full_unstemmed |
Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower |
| title_sort |
Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower |
| dc.creator.none.fl_str_mv |
Filippi, Carla Valeria Zubrzycki, Jeremías Enrique Di Rienzo, Julio Alejandro Quiroz, Facundo José Puebla, Andrea Fabiana Alvarez, D. Maringolo, C. A. Escande, Alberto Raul Hopp, Horacio Esteban Heinz, Ruth Amelia Paniego, Norma Beatriz Lia, Veronica Viviana |
| author |
Filippi, Carla Valeria |
| author_facet |
Filippi, Carla Valeria Zubrzycki, Jeremías Enrique Di Rienzo, Julio Alejandro Quiroz, Facundo José Puebla, Andrea Fabiana Alvarez, D. Maringolo, C. A. Escande, Alberto Raul Hopp, Horacio Esteban Heinz, Ruth Amelia Paniego, Norma Beatriz Lia, Veronica Viviana |
| author_role |
author |
| author2 |
Zubrzycki, Jeremías Enrique Di Rienzo, Julio Alejandro Quiroz, Facundo José Puebla, Andrea Fabiana Alvarez, D. Maringolo, C. A. Escande, Alberto Raul Hopp, Horacio Esteban Heinz, Ruth Amelia Paniego, Norma Beatriz Lia, Veronica Viviana |
| author2_role |
author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
ARGENTINIAN GERMPLASM ASSOCIATION MAPPING DISEASE RESISTANCE SUNFLOWER https://purl.org/becyt/ford/4.4 https://purl.org/becyt/ford/4 |
| topic |
ARGENTINIAN GERMPLASM ASSOCIATION MAPPING DISEASE RESISTANCE SUNFLOWER https://purl.org/becyt/ford/4.4 https://purl.org/becyt/ford/4 |
| description |
Background: Sclerotinia sclerotiorum is a necrotrophic fungus that causes Sclerotinia head rot (SHR) in sunflower, with epidemics leading to severe yield losses. In this work, we present an association mapping (AM) approach to investigate the genetic basis of natural resistance to SHR in cultivated sunflower, the fourth most widely grown oilseed crop in the world. Results: Our association mapping population (AMP), which comprises 135 inbred breeding lines (ILs), was genotyped using 27 candidate genes, a panel of 9 Simple Sequence Repeat (SSR) markers previously associated with SHR resistance via bi-parental mapping, and a set of 384 SNPs located in genes with molecular functions related to stress responses. Moreover, given the complexity of the trait, we evaluated four disease descriptors (i.e, disease incidence, disease severity, area under the disease progress curve for disease incidence, and incubation period). As a result, this work constitutes the most exhaustive AM study of disease resistance in sunflower performed to date. Mixed linear models accounting for population structure and kinship relatedness were used for the statistical analysis of phenotype-genotype associations, allowing the identification of 13 markers associated with disease reduction. The number of favourable alleles was negatively correlated to disease incidence, disease severity and area under the disease progress curve for disease incidence, whereas it was positevily correlated to the incubation period. Conclusions: Four of the markers identified here as associated with SHR resistance (HA1848, HaCOI_1, G33 and G34) validate previous research, while other four novel markers (SNP117, SNP136, SNP44, SNP128) were consistently associated with SHR resistance, emerging as promising candidates for marker-assisted breeding. From the germplasm point of view, the five ILs carrying the largest combination of resistance alleles provide a valuable resource for sunflower breeding programs worldwide. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-07 |
| 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 |
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article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/142412 Filippi, Carla Valeria; Zubrzycki, Jeremías Enrique; Di Rienzo, Julio Alejandro; Quiroz, Facundo José; Puebla, Andrea Fabiana; et al.; Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower; BioMed Central; BMC Plant Biology; 20; 1; 7-2020; 1-13 1471-2229 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/142412 |
| identifier_str_mv |
Filippi, Carla Valeria; Zubrzycki, Jeremías Enrique; Di Rienzo, Julio Alejandro; Quiroz, Facundo José; Puebla, Andrea Fabiana; et al.; Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower; BioMed Central; BMC Plant Biology; 20; 1; 7-2020; 1-13 1471-2229 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://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-020-02529-7 info:eu-repo/semantics/altIdentifier/doi/10.1186/s12870-020-02529-7 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
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openAccess |
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https://creativecommons.org/licenses/by/2.5/ar/ |
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application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
BioMed Central |
| publisher.none.fl_str_mv |
BioMed Central |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
| repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
| _version_ |
1799195100905996288 |
| spelling |
Unveiling the genetic basis of Sclerotinia head rot resistance in sunflowerFilippi, Carla ValeriaZubrzycki, Jeremías EnriqueDi Rienzo, Julio AlejandroQuiroz, Facundo JoséPuebla, Andrea FabianaAlvarez, D.Maringolo, C. A.Escande, Alberto RaulHopp, Horacio EstebanHeinz, Ruth AmeliaPaniego, Norma BeatrizLia, Veronica VivianaARGENTINIAN GERMPLASMASSOCIATION MAPPINGDISEASE RESISTANCESUNFLOWERhttps://purl.org/becyt/ford/4.4https://purl.org/becyt/ford/4Background: Sclerotinia sclerotiorum is a necrotrophic fungus that causes Sclerotinia head rot (SHR) in sunflower, with epidemics leading to severe yield losses. In this work, we present an association mapping (AM) approach to investigate the genetic basis of natural resistance to SHR in cultivated sunflower, the fourth most widely grown oilseed crop in the world. Results: Our association mapping population (AMP), which comprises 135 inbred breeding lines (ILs), was genotyped using 27 candidate genes, a panel of 9 Simple Sequence Repeat (SSR) markers previously associated with SHR resistance via bi-parental mapping, and a set of 384 SNPs located in genes with molecular functions related to stress responses. Moreover, given the complexity of the trait, we evaluated four disease descriptors (i.e, disease incidence, disease severity, area under the disease progress curve for disease incidence, and incubation period). As a result, this work constitutes the most exhaustive AM study of disease resistance in sunflower performed to date. Mixed linear models accounting for population structure and kinship relatedness were used for the statistical analysis of phenotype-genotype associations, allowing the identification of 13 markers associated with disease reduction. The number of favourable alleles was negatively correlated to disease incidence, disease severity and area under the disease progress curve for disease incidence, whereas it was positevily correlated to the incubation period. Conclusions: Four of the markers identified here as associated with SHR resistance (HA1848, HaCOI_1, G33 and G34) validate previous research, while other four novel markers (SNP117, SNP136, SNP44, SNP128) were consistently associated with SHR resistance, emerging as promising candidates for marker-assisted breeding. From the germplasm point of view, the five ILs carrying the largest combination of resistance alleles provide a valuable resource for sunflower breeding programs worldwide.Fil: Filippi, Carla Valeria. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Zubrzycki, Jeremías Enrique. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Di Rienzo, Julio Alejandro. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; ArgentinaFil: Quiroz, Facundo José. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Puebla, Andrea Fabiana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Alvarez, D.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; ArgentinaFil: Maringolo, C. A.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Escande, Alberto Raul. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Lia, Veronica Viviana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaBioMed Central2020-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/142412Filippi, Carla Valeria; Zubrzycki, Jeremías Enrique; Di Rienzo, Julio Alejandro; Quiroz, Facundo José; Puebla, Andrea Fabiana; et al.; Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower; BioMed Central; BMC Plant Biology; 20; 1; 7-2020; 1-131471-2229CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-020-02529-7info:eu-repo/semantics/altIdentifier/doi/10.1186/s12870-020-02529-7info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T13:43:30Zoai:ri.conicet.gov.ar:11336/142412instacron: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:34982024-05-08 13:43:31.063CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
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15,811543 |