ReviewFrontiers in plant science2014
Integrating omic approaches for abiotic stress tolerance in soybean.
Review in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.
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Who cites it
94 citing papers in PubMed.
- Breeding Climate-Resilient Soybeans for 2050 and Beyond: Leveraging Novel Technologies to Mitigate Yield Stagnation and Climate Change Impacts.Plants (Basel, Switzerland) · 2026Review
- Small but big player: the important role of microRNAs in legume crops.Molecular genetics and genomics : MGG · 2026Review
- Innovative 3D photosynthetic trait assessment of slash pine using drone-LiDAR fusion and machine learning algorithms.Plant phenomics (Washington, D.C.) · 2026Article
- Challenges and Opportunities with CRISPR-Based Genome Editing in Legume Crops.Functional & integrative genomics · 2026Review
- Drought tolerance in soybean: genetics, metabolomics, remote sensing, and breeding for enhanced drought tolerance.Frontiers in plant science · 2026Review
- Integrating multi-omics approaches to shape legume root system architecture under drought stress: a comprehensive review.Frontiers in plant science · 2026Review
- Integrating Genome-Wide Association Study (GWAS) and Marker-Assisted Selection for Enhanced Predictive Performance of Soybean Cold Tolerance.International journal of molecular sciences · 2025Article
- Identifying the most sensitive growth stages of soybean to defoliation.Scientific reports · 2025Article
- Advancing ornamental plant breeding through genomic technologies: opportunities, challenges, and future directions.Functional & integrative genomics · 2025Review
- Decoding plant responses to waterlogging: from stress signals to molecular mechanisms and their future implications.Plant molecular biology · 2025Review
- The stress-induced gene AtDUF569 positively regulates salt stress responses in Arabidopsis thaliana.BMC plant biology · 2025Article
- Combating Root-Knot Nematodes (Plants (Basel, Switzerland) · 2025Review
- The members of zinc finger-homeodomain (ZF-HD) transcription factors are associated with abiotic stresses in soybean: insights from genomics and expression analysis.BMC plant biology · 2025Article
- Effects of seasonal climates and MIPS1 mutations on soybean germination through multi-omics analysis.BMC plant biology · 2024Article
- Genome-Wide Analysis ofInternational journal of molecular sciences · 2024Article
- Influence of Silver Nanoparticles on the Metabolites of Two Transgenic Soybean Varieties: An NMR-Based Metabolomics Approach.Journal of agricultural and food chemistry · 2024Article
- Integrated Transcriptomic and Proteomic Characterization of a Chromosome Segment Substitution Line Reveals the Regulatory Mechanism Controlling the Seed Weight in Soybean.Plants (Basel, Switzerland) · 2024Article
- Maize Feature Store: A centralized resource to manage and analyze curated maize multi-omics features for machine learning applications.Database : the journal of biological databases and curation · 2023Article
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34 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soybean production is greatly influenced by abiotic stresses imposed by environmental factors such as drought, water submergence, salt, and heavy metals. A thorough understanding of plant response to abiotic stress at the molecular level is a prerequisite for its effective management. The molecular mechanism of stress tolerance is complex and requires information at the omic level to understand it effectively. In this regard, enormous progress has been made in the omics field in the areas of genomics, transcriptomics, and proteomics. The emerging field of ionomics is also being employed for investigating abiotic stress tolerance in soybean. Omic approaches generate a huge amount of data, and adequate advancements in computational tools have been achieved for effective analysis. However, the integration of omic-scale information to address complex genetics and physiological questions is still a challenge. In this review, we have described advances in omic tools in the view of conventional and modern approaches being used to dissect abiotic stress tolerance in soybean. Emphasis was given to approaches such as quantitative trait loci (QTL) mapping, genome-wide association studies (GWAS), and genomic selection (GS). Comparative genomics and candidate gene approaches are also discussed considering identification of potential genomic loci, genes, and biochemical pathways involved in stress tolerance mechanism in soybean. This review also provides a comprehensive catalog of available online omic resources for soybean and its effective utilization. We have also addressed the significance of phenomics in the integrated approaches and recognized high-throughput multi-dimensional phenotyping as a major limiting factor for the improvement of abiotic stress tolerance in soybean.
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