ArticlePlant molecular biology2017
Integrating QTL mapping and transcriptomics identifies candidate genes underlying QTLs associated with soybean tolerance to low-phosphorus stress.
Article in Plant molecular biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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33 citing papers in PubMed, 78 citations in OpenAlex.
- Percent Tolerance to Phosphorus Deficiency (PTPD) as a Potential Metric for Genotypic Screening in Soybean (Plants (Basel, Switzerland) · 2026Article
- GmAP2 enhances plant tolerance to aluminum toxicity and phosphorus deficiency in Arabidopsis.Plant cell reports · 2025Article
- Revolution and advances in gene editing and genomics technology for developing climate-resilient legume crops: developments and prospects.Plant molecular biology · 2025Review
- The integration of quantitative trait locus mapping and transcriptome studies reveals candidate genes for water stress response in St. Augustinegrass.BMC plant biology · 2025Article
- Article
- The Myb73-GDPD2-GA2ox1 transcriptional regulatory module confers phosphate deficiency tolerance in soybean.The Plant cell · 2024Article
- Integrated Bulk Segregant Analysis, Fine Mapping, and Transcriptome Revealed QTLs and Candidate Genes Associated with Drought Adaptation in Wild Watermelon.International journal of molecular sciences · 2023Article
- Integrated Analysis of Metabolome and Transcriptome Reveals Insights for Low Phosphorus Tolerance in Wheat Seedling.International journal of molecular sciences · 2023Article
- Transcriptomic Analysis of the Response of the Toxic DinoflagellateMicroorganisms · 2023Article
- Joint QTL Mapping and Transcriptome Sequencing Analysis Reveal Candidate Seed-Shattering-Related Genes in Common Buckwheat.International journal of molecular sciences · 2023Article
- Transcription factors GmERF1 and GmWRKY6 synergistically regulate low phosphorus tolerance in soybean.Plant physiology · 2023Article
- Phosphorus Availability Affects the Photosynthesis and Antioxidant System of Contrasting Low-P-Tolerant Cotton Genotypes.Antioxidants (Basel, Switzerland) · 2023Article
- Mechanisms Underlying Soybean Response to Phosphorus Deficiency through Integration of Omics Analysis.International journal of molecular sciences · 2022Review
- Improvement of heat stress tolerance in soybean (Frontiers in plant science · 2022Review
- Transcriptome profiling reveals the spatial-temporal dynamics of gene expression essential for soybean seed development.BMC genomics · 2021Article
- Genome-wide analysis of long non-coding RNAs (lncRNAs) in two contrasting soybean genotypes subjected to phosphate starvation.BMC genomics · 2021Article
- Genomic Architecture of Phenotypic Plasticity in Response to Water Stress in Tetraploid Wheat.International journal of molecular sciences · 2021Article
- Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce.Frontiers in plant science · 2021Article
- Constraints and Prospects of Improving Cowpea Productivity to Ensure Food, Nutritional Security and Environmental Sustainability.Frontiers in plant science · 2021Review
- Genome-wide identification of low phosphorus responsive microRNAs in two soybean genotypes by high-throughput sequencing.Functional & integrative genomics · 2020Article
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soybean is a high phosphorus (P) demand species that is sensitive to low-P stress. Although many quantitative trait loci (QTL) for P efficiency have been identified in soybean, but few of these have been cloned and agriculturally applied mainly due to various limitations on identifying suitable P efficiency candidate genes. Here, we combined QTL mapping, transcriptome profiling, and plant transformation to identify candidate genes underlying QTLs associated with low-P tolerance and response mechanisms to low-P stress in soybean. By performing QTL linkage mapping using 152 recombinant inbred lines (RILs) that were derived from a cross between a P-efficient variety, Nannong 94-156, and P-sensitive Bogao, we identified four major QTLs underlying P efficiency. Within these four QTL regions, 34/81 candidate genes in roots/leaves were identified using comparative transcriptome analysis between two transgressive RILs, low-P tolerant genotype B20 and sensitive B18. A total of 22 phosphatase family genes were up-regulated significantly under low-P condition in B20. Overexpression of an acid phosphatase candidate gene, GmACP2, in soybean hairy roots increased P efficiency by 15.43-24.54 % compared with that in controls. Our results suggest that integrating QTL mapping and transcriptome profiling could be useful for rapidly identifying candidate genes underlying complex traits, and phosphatase-encoding genes, such as GmACP2, play important roles involving in low-P stress tolerance in soybean.
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