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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 [ver mas...]
dc.contributor.authorFilippi, Carla Valeria
dc.contributor.authorZubrzycki, Jeremias Enrique
dc.contributor.authorDi Rienzo, Julio Alejandro
dc.contributor.authorQuiroz, Facundo Jose
dc.contributor.authorPuebla, Andrea Fabiana
dc.contributor.authorAlvarez, Daniel
dc.contributor.authorMaringolo, Carla Andrea
dc.contributor.authorEscande, Alberto
dc.contributor.authorHopp, Horacio Esteban
dc.contributor.authorHeinz, Ruth Amelia
dc.contributor.authorPaniego, Norma Beatriz
dc.contributor.authorLia, Veronica Viviana
dc.date.accessioned2020-07-15T17:34:53Z
dc.date.available2020-07-15T17:34:53Z
dc.date.issued2020-07
dc.identifier.issn1471-2229
dc.identifier.otherhttps://doi.org/10.1186/s12870-020-02529-7
dc.identifier.urihttp://hdl.handle.net/20.500.12123/7559
dc.identifier.urihttps://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-020-02529-7
dc.description.abstractBackground: 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherBMCes_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceBMC Plant Biology 20 : article number: 322 (2020)es_AR
dc.subjectHelianthus annuuses_AR
dc.subjectEnfermedades de las Plantases_AR
dc.subjectPlant Diseaseseng
dc.subjectSclerotiniaes_AR
dc.subjectGenéticaes_AR
dc.subjectGeneticseng
dc.subjectResistencia a la Enfermedades_AR
dc.subjectDisease Resistanceeng
dc.subjectPodredumbres
dc.subjectRotseng
dc.subject.otherGirasoles_AR
dc.subject.otherSunflowereng
dc.titleUnveiling the genetic basis of Sclerotinia head rot resistance in sunfloweres_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenInstituto de Biotecnologíaes_AR
dc.description.filFil: Filippi, Carla Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Zubrzycki, Jeremias Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Biocódices; Argentinaes_AR
dc.description.filFil: Di Rienzo, Julio Alejandro. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Cátedra de Estadística y Biometría; Argentinaes_AR
dc.description.filFil: Quiroz, Facundo Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Laboratorio de Patología Vegetal; Argentinaes_AR
dc.description.filFil: Puebla, Andrea Fabiana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.description.filFil: Alvarez, Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentinaes_AR
dc.description.filFil: Maringolo, Carla Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Laboratorio de Patología Vegetal; Argentinaes_AR
dc.description.filFil: Escande, Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Laboratorio de Patología Vegetal; Argentinaes_AR
dc.description.filFil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentinaes_AR
dc.description.filFil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentinaes_AR
dc.description.filFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Lia, Veronica Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentinaes_AR
dc.subtypecientifico


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