ArticleBMC plant biology2020
Deconstructing the genetic architecture of iron deficiency chlorosis in soybean using genome-wide approaches.
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 22 papers.
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Who cites it
22 citing papers in PubMed, 57 citations in OpenAlex.
- A genome-wide association study unveils the genetic architecture of morphological and biomass partitioning traits in maize under iron-deficient stress.Scientific reports · 2026Article
- Soybean genomics research community strategic plan: A vision for 2024-2028.The plant genome · 2024Article
- Investigating the Role of Known Arabidopsis Iron Genes in a Stress Resilient Soybean Line.International journal of molecular sciences · 2024Article
- Harnessing Multi-Omics Strategies and Bioinformatics Innovations for Advancing Soybean Improvement: A Comprehensive Review.Plants (Basel, Switzerland) · 2024Review
- Combining GWAS and comparative genomics to fine map candidate genes for days to flowering in mung bean.BMC genomics · 2024Article
- GmGLU1 and GmRR4 contribute to iron deficiency tolerance in soybean.Frontiers in plant science · 2024Article
- Mapping Genetic Variation in Arabidopsis in Response to Plant Growth-Promoting BacteriumMicroorganisms · 2023Article
- Genome-wide association study as a powerful tool for dissecting competitive traits in legumes.Frontiers in plant science · 2023Review
- A genome-wide association study identifies novel players in Na and Fe homeostasis in Arabidopsis thaliana under alkaline-salinity stress.The Plant journal : for cell and molecular biology · 2023Article
- Coupling VIGS with Short- and Long-Term Stress Exposure to Understand the Fiskeby III Iron Deficiency Stress Response.International journal of molecular sciences · 2022Article
- Mechanistic assessment of tolerance to iron deficiency mediated by Trichoderma harzianum in soybean roots.Journal of applied microbiology · 2022Article
- Genome-wide association mapping of nutritional traits for designing superior chickpea varieties.Frontiers in plant science · 2022Article
- Genome-Wide Association Analysis Reveals the Genetic Basis of Iron-Deficiency Stress Tolerance in Maize.Frontiers in plant science · 2022Article
- Genotyping Platforms for Genome-Wide Association Studies: Options and Practical Considerations.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Deep learning-based phenotyping for genome wide association studies of sudden death syndrome in soybean.Frontiers in plant science · 2022Article
- Comparing Early Transcriptomic Responses of 18 Soybean (International journal of molecular sciences · 2021Article
- Mining Fiskeby III and Mandarin (Ottawa) Expression Profiles to Understand Iron Stress Tolerant Responses in Soybean.International journal of molecular sciences · 2021Article
- Using natural variation to understand plant responses to iron availability.Journal of experimental botany · 2021Article
- Gene Expression Responses to Sequential Nutrient Deficiency Stresses in Soybean.International journal of molecular sciences · 2021Article
- Novel Genes and Genetic Loci Associated With Root Morphological Traits, Phosphorus-Acquisition Efficiency and Phosphorus-Use Efficiency in Chickpea.Frontiers in plant science · 2021Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundIron (Fe) is an essential micronutrient for plant growth and development. Iron deficiency chlorosis (IDC), caused by calcareous soils or high soil pH, can limit iron availability, negatively affecting soybean (Glycine max) yield. This study leverages genome-wide association study (GWAS) and a genome-wide epistatic study (GWES) with previous gene expression studies to identify regions of the soybean genome important in iron deficiency tolerance.
resultsA GWAS and a GWES were performed using 460 diverse soybean PI lines from 27 countries, in field and hydroponic iron stress conditions, using more than 36,000 single nucleotide polymorphism (SNP) markers. Combining this approach with available RNA-sequencing data identified significant markers, genomic regions, and novel genes associated with or responding to iron deficiency. Sixty-nine genomic regions associated with IDC tolerance were identified across 19 chromosomes via the GWAS, including the major-effect quantitative trait locus (QTL) on chromosome Gm03. Cluster analysis of significant SNPs in this region deconstructed this historically prominent QTL into four distinct linkage blocks, enabling the identification of multiple candidate genes for iron chlorosis tolerance. The complementary GWES identified SNPs in this region interacting with nine other genomic regions, providing the first evidence of epistatic interactions impacting iron deficiency tolerance.
conclusionsThis study demonstrates that integrating cutting edge genome wide association (GWA), genome wide epistasis (GWE), and gene expression studies is a powerful strategy to identify novel iron tolerance QTL and candidate loci from diverse germplasm. Crops, unlike model species, have undergone selection for thousands of years, constraining and/or enhancing stress responses. Leveraging genomics-enabled approaches to study these adaptations is essential for future crop improvement.
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