ArticlePloS one2020
Genome-wide association study and genomic selection for tolerance of soybean biomass to soybean cyst nematode infestation.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 39 citations in OpenAlex.
- Genome-wide association mapping reveals novel genes and genomic regions controlling root-lesion nematode resistance in chickpea mini core collection.The plant genome · 2025Article
- Genome and GWAS analyses for soybean cyst nematode resistance in USDA world-wide common bean (Frontiers in plant science · 2025Article
- Genome-wide association study and genome prediction of tallness trait in spinach phenotyping.Frontiers in plant science · 2025Article
- Genetic Control of Tolerance to Drought Stress in Wild Soybean (Plants (Basel, Switzerland) · 2024Article
- Molecular breeding for improvement of photothermal adaptability in soybean.Molecular breeding : new strategies in plant improvement · 2023Article
- Genome-wide association study for biomass accumulation traits in soybean.Molecular breeding : new strategies in plant improvement · 2023Article
- Novel genetic resources associated with sucrose and stachyose content through genome-wide association study in soybean (Frontiers in plant science · 2023Article
- Deciphering the genetic architecture of resistance toFrontiers in plant science · 2023Article
- A novel Synthetic phenotype association study approach reveals the landscape of association for genomic variants and phenotypes.Journal of advanced research · 2022Article
- Integrated Approach in Genomic Selection to Accelerate Genetic Gain in Sugarcane.Plants (Basel, Switzerland) · 2022Review
- Genome-Wide Association Study and Genomic Selection for Proteinogenic Methionine in Soybean Seeds.Frontiers in plant science · 2022Article
- Genome-wide association study, haplotype analysis, and genomic prediction reveal the genetic basis of yield-related traits in soybean (Frontiers in genetics · 2022Article
- Identification of Candidate Genes and Genomic Selection for Seed Protein in Soybean Breeding Pipeline.Frontiers in plant science · 2022Article
- Genome-wide association study and genomic prediction of white rust resistance in USDA GRIN spinach germplasm.Horticulture research · 2022Article
- Genome-Wide Association Study and Genomic Prediction for Soybean Cyst Nematode Resistance in USDA Common Bean (Frontiers in plant science · 2021Article
- A Proof-of-Principle Study of Non-invasive Identification of Peanut Genotypes and Nematode Resistance Using Raman Spectroscopy.Frontiers in plant science · 2021Article
- Resisting Potato Cyst Nematodes With Resistance.Frontiers in plant science · 2021Review
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soybean cyst nematode (SCN), Heterodera glycines Ichinohe, is one of the most devastating pathogens affecting soybean production in the U.S. and worldwide. The use of SCN-resistant soybean cultivars is one of the most affordable strategies to cope with SCN infestation. Because of the limited sources of SCN resistance and changes in SCN virulence phenotypes, host resistance in current cultivars has increasingly been overcome by the pathogen. Host tolerance has been recognized as an additional tool to manage the SCN. The objectives of this study were to conduct a genome-wide association study (GWAS), to identify single nucleotide polymorphism (SNP) markers, and to perform a genomic selection (GS) study for SCN tolerance in soybean based on reduction in biomass. A total of 234 soybean genotypes (lines) were evaluated for their tolerance to SCN in greenhouse using four replicates. The tolerance index (TI = 100 × Biomass of a line in SCN infested / Biomass of the line without SCN) was used as phenotypic data of SCN tolerance. GWAS was conducted using a total of 3,782 high quality SNPs. GS was performed based upon the whole set of SNPs and the GWAS-derived SNPs, respectively. Results showed that (1) a large variation in soybean TI to SCN infection among the soybean genotypes was identified; (2) a total of 35, 21, and 6 SNPs were found to be associated with SCN tolerance using the models SMR, GLM (PCA), and MLM (PCA+K) with 6 SNPs overlapping between models; (3) GS accuracy was SNP set-, model-, and training population size-dependent; and (4) genes around Glyma.06G134900, Glyma.15G097500.1, Glyma.15G100900.3, Glyma.15G105400, Glyma.15G107200, and Glyma.19G121200.1 (Table 4). Glyma.06G134900, Glyma.15G097500.1, Glyma.15G100900.3, Glyma.15G105400, and Glyma.19G121200.1 are best candidates. To the best of our knowledge, this is the first report highlighting SNP markers associated with tolerance index based on biomass reduction under SCN infestation in soybean. This research opens a new approach to use SCN tolerance in soybean breeding and the SNP markers will provide a tool for breeders to select for SCN tolerance.
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