ArticleBMC genomics2015
A systems biology approach toward understanding seed composition in soybean.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 98 citations in OpenAlex.
- Targets and strategies to design soybean seed composition traits.The plant genome · 2025Review
- Transcriptome profiling uncovers differentially expressed genes linked to nutritional quality in vegetable soybean.PloS one · 2024Article
- Integrative transcriptomics reveals association of abscisic acid and lignin pathways with cassava whitefly resistance.BMC plant biology · 2023Article
- Soybean Seed Sugars: A Role in the Mechanism of Resistance to Charcoal Rot and Potential Use as Biomarkers in Selection.Plants (Basel, Switzerland) · 2023Article
- Can Soybean Cultivars with Larger Seed Size Produce More Protein, Lipids, and Seed Yield? A Meta-Analysis.Foods (Basel, Switzerland) · 2022Article
- Seed Development and Protein Accumulation Patterns in Faba Bean (Journal of agricultural and food chemistry · 2022Article
- Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean.Frontiers in plant science · 2022Article
- Suppression ofFrontiers in plant science · 2022Article
- Temporal changes in metabolism late in seed development affect biomass composition.Plant physiology · 2021Article
- Metabolomics as a Tool to Study Underused Soy Parts: In Search of Bioactive Compounds.Foods (Basel, Switzerland) · 2021Review
- Comparative transcriptome analysis during seeds development between two soybean cultivars.PeerJ · 2021Article
- Soybean Inoculated With One Bradyrhizobium Strain Isolated at Elevated [COFrontiers in plant science · 2021Article
- Systematic Multi-Omics Integration (MOI) Approach in Plant Systems Biology.Frontiers in plant science · 2020Review
- On the Inverse Correlation of Protein and Oil: Examining the Effects of Altered Central Carbon Metabolism on Seed Composition Using Soybean Fast Neutron Mutants.Metabolites · 2019Article
- Comparative transcriptomic analysis of high- and low-oil3 Biotech · 2019Article
- Systems biology of seeds: decoding the secret of biochemical seed factories for nutritional security.3 Biotech · 2018Review
- Metabolomic Profiling of Soybeans (Glycine max L.) Reveals the Importance of Sugar and Nitrogen Metabolism under Drought and Heat Stress.Plants (Basel, Switzerland) · 2017Article
- Integration of omics approaches to understand oil/protein content during seed development in oilseed crops.Plant cell reports · 2017Review
- Molecular characterization of the acquisition of longevity during seed maturation in soybean.PloS one · 2017Article
- Seed-Specific Overexpression of the Pyruvate TransporterFrontiers in plant science · 2017Article
Corrections and comments
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe molecular, biochemical, and genetic mechanisms that regulate the complex metabolic network of soybean seed development determine the ultimate balance of protein, lipid, and carbohydrate stored in the mature seed. Many of the genes and metabolites that participate in seed metabolism are unknown or poorly defined; even more remains to be understood about the regulation of their metabolic networks. A global omics analysis can provide insights into the regulation of seed metabolism, even without a priori assumptions about the structure of these networks.
resultsWith the future goal of predictive biology in mind, we have combined metabolomics, transcriptomics, and metabolic flux technologies to reveal the global developmental and metabolic networks that determine the structure and composition of the mature soybean seed. We have coupled this global approach with interactive bioinformatics and statistical analyses to gain insights into the biochemical programs that determine soybean seed composition. For this purpose, we used Plant/Eukaryotic and Microbial Metabolomics Systems Resource (PMR, http://www.metnetdb.org/pmr, a platform that incorporates metabolomics data to develop hypotheses concerning the organization and regulation of metabolic networks, and MetNet systems biology tools http://www.metnetdb.org for plant omics data, a framework to enable interactive visualization of metabolic and regulatory networks.
conclusionsThis combination of high-throughput experimental data and bioinformatics analyses has revealed sets of specific genes, genetic perturbations and mechanisms, and metabolic changes that are associated with the developmental variation in soybean seed composition. Researchers can explore these metabolomics and transcriptomics data interactively at PMR.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.