ArticlePlant physiology2012
Identification of candidate genes underlying an iron efficiency quantitative trait locus in soybean.
Article in Plant physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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32 citing papers in PubMed, 70 citations in OpenAlex.
- Soybean genomics research community strategic plan: A vision for 2024-2028.The plant genome · 2024Article
- GmGLU1 and GmRR4 contribute to iron deficiency tolerance in soybean.Frontiers in plant science · 2024Article
- Development of a controlled-environment assay to induce iron deficiency chlorosis in soybean by adjusting calcium carbonates, pH, and nodulation.Plant methods · 2022Article
- Progress in soybean functional genomics over the past decade.Plant biotechnology journal · 2022Review
- Identification of Quantitative Trait Loci Associated With Iron Deficiency Tolerance in Maize.Frontiers in plant science · 2022Article
- Identification of Candidate Genes for a Major Quantitative Disease Resistance Locus From Soybean PI 427105B for Resistance toFrontiers 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
- Gene Expression Responses to Sequential Nutrient Deficiency Stresses in Soybean.International journal of molecular sciences · 2021Article
- Examining Short-Term Responses to a Long-Term Problem: RNA-Seq Analyses of Iron Deficiency Chlorosis Tolerant Soybean.International journal of molecular sciences · 2020Article
- Dynamic gene expression changes in response to micronutrient, macronutrient, and multiple stress exposures in soybean.Functional & integrative genomics · 2020Article
- Characterization of genetic heterogeneity within accessions in the USDA soybean germplasm collection.The plant genome · 2020Article
- Deconstructing the genetic architecture of iron deficiency chlorosis in soybean using genome-wide approaches.BMC plant biology · 2020Article
- Identification and Fine-Mapping of a Soybean Quantitative Trait Locus on Chromosome 5 Conferring Tolerance to Iron Deficiency Chlorosis.The plant genome · 2019Article
- Soybean iron deficiency chlorosis high throughput phenotyping using an unmanned aircraft system.Plant methods · 2019Article
- Gene Expression Profiling of Iron Deficiency Chlorosis Sensitive and Tolerant Soybean Indicates Key Roles for Phenylpropanoids under Alkalinity Stress.Frontiers in plant science · 2018Article
- Computer vision and machine learning for robust phenotyping in genome-wide studies.Scientific reports · 2017Article
- Mapping and Characterization of theFrontiers in plant science · 2017Article
- A real-time phenotyping framework using machine learning for plant stress severity rating in soybean.Plant methods · 2017Article
- Fast neutron-induced structural rearrangements at a soybean NAP1 locus result in gnarled trichomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016Article
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prevalent on calcareous soils in the United States and abroad, iron deficiency is among the most common and severe nutritional stresses in plants. In soybean (Glycine max) commercial plantings, the identification and use of iron-efficient genotypes has proven to be the best form of managing this soil-related plant stress. Previous studies conducted in soybean identified a significant iron efficiency quantitative trait locus (QTL) explaining more than 70% of the phenotypic variation for the trait. In this research, we identified candidate genes underlying this QTL through molecular breeding, mapping, and transcriptome sequencing. Introgression mapping was performed using two related near-isogenic lines in which a region located on soybean chromosome 3 required for iron efficiency was identified. The region corresponds to the previously reported iron efficiency QTL. The location was further confirmed through QTL mapping conducted in this study. Transcriptome sequencing and quantitative real-time-polymerase chain reaction identified two genes encoding transcription factors within the region that were significantly induced in soybean roots under iron stress. The two induced transcription factors were identified as homologs of the subgroup lb basic helix-loop-helix (bHLH) genes that are known to regulate the strategy I response in Arabidopsis (Arabidopsis thaliana). Resequencing of these differentially expressed genes unveiled a significant deletion within a predicted dimerization domain. We hypothesize that this deletion disrupts the Fe-DEFICIENCY-INDUCED TRANSCRIPTION FACTOR (FIT)/bHLH heterodimer that has been shown to induce known iron acquisition genes.
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