ArticleBMC plant biology2020
Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower.
Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- Biocontrol effect of a solid-state fermentation-derived extract mixture ofMicrobiology spectrum · 2026Article
- Identification and Fine-Mapping of a Novel LocusPlants (Basel, Switzerland) · 2025Article
- Combining Linkage and Association Mapping Approaches to Study the Genetic Architecture of Verticillium Wilt Resistance in Sunflower.Plants (Basel, Switzerland) · 2025Article
- Comparative insights into soybean and other oilseed crops' defense mechanisms againstFrontiers in plant science · 2025Review
- Efficacy ofInternational journal of molecular sciences · 2024Article
- Pangenome Data Analysis Reveals Characteristics of Resistance Gene Analogs Associated withLife (Basel, Switzerland) · 2024Article
- Co-Expression Networks in Sunflower: Harnessing the Power of Multi-Study Transcriptomic Public Data to Identify and Categorize Candidate Genes for Fungal Resistance.Plants (Basel, Switzerland) · 2023Article
- Population and genome-wide association studies ofFrontiers in microbiology · 2023Article
- Article
- A Quantitative Genetic Study of Sclerotinia Head Rot Resistance Introgressed from the Wild PerennialInternational journal of molecular sciences · 2022Article
- Genomic Insights Into Sclerotinia Basal Stalk Rot Resistance Introgressed From WildFrontiers in plant science · 2022Article
- Unraveling theFrontiers in plant science · 2020Article
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Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundSclerotinia 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.
resultsOur 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.
conclusionsFour 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.
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