ArticlePlant biotechnology journal2018
Integrating GWAS and gene expression data for functional characterization of resistance to white mould in soya bean.
Article in Plant biotechnology journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Genome-wide association study uncovers the genetic loci for yield-related traits in waxy rice.Journal of applied genetics · 2026Article
- Genome-Wide Association Study Reveals Genetic Loci, Candidate Genes and Favorable Haplotypes for Important Agronomic Traits inJournal of fungi (Basel, Switzerland) · 2026Article
- Development of user-selectable diverse sets of cultivated and wild soybean germplasm for genetic and breeding applications.The plant genome · 2026Article
- Assessment of genomic prediction capabilities of transcriptome data in a barley multi-parent RIL population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- A fungal effector promotes infection via stabilizing a negative regulatory factor of chloroplast immunity.Nature communications · 2025Article
- Genome-wide association study identifies elite alleles of FLA2 and FLA9 controlling flag leaf angle in rice.BMC genomics · 2025Article
- Identification of Elite Alleles and Candidate Genes for the Cotton Boll Opening Rate via a Genome-Wide Association Study.International journal of molecular sciences · 2025Article
- Development of a 101.6K liquid-phased probe for GWAS and genomic selection in pine wilt disease-resistance breeding in Masson pine.The plant genome · 2025Article
- White Mold: A Global Threat to Crops and Key Strategies for Its Sustainable Management.Microorganisms · 2024Review
- pH and Pectinase Dual-Responsive Zinc Oxide Core-Shell Nanopesticide: Efficient Control of Sclerotinia Disease and Reduction of Environmental Risks.Nanomaterials (Basel, Switzerland) · 2024Article
- Pangenome characterization and analysis of the NAC gene family reveals genes for Sclerotinia sclerotiorum resistance in sunflower (Helianthus annuus).BMC genomic data · 2024Article
- Analyzing genetic diversity in luffa and developing a Fusarium wilt-susceptible linked SNP marker through a single plant genome-wide association (sp-GWAS) study.BMC plant biology · 2024Article
- Genome-wide association study on resistance of cultivated soybean to Fusarium oxysporum root rot in Northeast China.BMC plant biology · 2023Article
- Multiomics analysis reveals the molecular mechanisms underlying virulence in Rhizoctonia and jasmonic acid-mediated resistance in Tartary buckwheat (Fagopyrum tataricum).The Plant cell · 2023Article
- Genome-Wide Association Study ofPlants (Basel, Switzerland) · 2023Article
- Combining GS-assisted GWAS and transcriptome analysis to mine candidate genes for nitrogen utilization efficiency in Populus cathayana.BMC plant biology · 2023Article
- Comparative transcriptome profiling reveals the importance ofFrontiers in microbiology · 2023Article
- Genome-wide association study of powdery mildew resistance in cultivated soybean from Northeast China.Frontiers in plant science · 2023Article
- Deciphering the genetic architecture of resistance toFrontiers in plant science · 2023Article
- Breeding for disease resistance in soybean: a global perspective.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Review
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13 authors.
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Abstract
White mould of soya bean, caused by Sclerotinia sclerotiorum (Lib.) de Bary, is a necrotrophic fungus capable of infecting a wide range of plants. To dissect the genetic architecture of resistance to white mould, a high-density customized single nucleotide polymorphism (SNP) array (52 041 SNPs) was used to genotype two soya bean diversity panels. Combined with resistance variation data observed in the field and greenhouse environments, genome-wide association studies (GWASs) were conducted to identify quantitative trait loci (QTL) controlling resistance against white mould. Results showed that 16 and 11 loci were found significantly associated with resistance in field and greenhouse, respectively. Of these, eight loci localized to previously mapped QTL intervals and one locus had significant associations with resistance across both environments. The expression level changes in genes located in GWAS-identified loci were assessed between partially resistant and susceptible genotypes through a RNA-seq analysis of the stem tissue collected at various time points after inoculation. A set of genes with diverse biological functionalities were identified as strong candidates underlying white mould resistance. Moreover, we found that genomic prediction models outperformed predictions based on significant SNPs. Prediction accuracies ranged from 0.48 to 0.64 for disease index measured in field experiments. The integrative methods, including GWAS, RNA-seq and genomic selection (GS), applied in this study facilitated the identification of causal variants, enhanced our understanding of mechanisms of white mould resistance and provided valuable information regarding breeding for disease resistance through genomic selection in soya bean.
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