ArticleMetabolites2013
Metabolic and Transcriptional Reprogramming in Developing Soybean (Glycine max) Embryos.
Article in Metabolites, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
40 citing papers in PubMed, 80 citations in OpenAlex.
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- Transcription Factor GmERFA Interacts With GmNFYA and Acts as a Negative Regulator of Seed Fatty Acid Accumulation in Soybean.Plant biotechnology journal · 2025Article
- A comprehensive evaluation of metabolically engineered Cynara cardunculus calli as platform for valuable fatty acid derivatives production.Scientific reports · 2025Article
- Metabolic flux analysis to increase oil in seeds.Plant physiology · 2025Review
- Identification of novel candidate genes for regulating oil composition in soybean seeds under environmental stresses.Frontiers in plant science · 2025Article
- Genome-wide profiling of soybean WRINKLED1 transcription factor binding sites provides insight into seed storage lipid biosynthesis.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Review
- Transcriptome and metabolome analyses reveal regulatory networks associated with nutrition synthesis in sorghum seeds.Communications biology · 2024Article
- Differential metabolic reprogramming in developing soybean embryos in response to nutritional conditions and abscisic acid.Plant molecular biology · 2023Article
- Elicitor-induced plant immunity relies on amino acids accumulation to delay the onset of bacterial virulence.Plant physiology · 2023Article
- The putative transporter MtUMAMIT14 participates in nodule formation in Medicago truncatula.Scientific reports · 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
- Suppression ofFrontiers in plant science · 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
- Construction of Chromosome Segment Substitution Lines and Inheritance of Seed-Pod Characteristics in Wild Soybean.Frontiers 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
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Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soybean (Glycine max) seeds are an important source of seed storage compounds, including protein, oil, and sugar used for food, feed, chemical, and biofuel production. We assessed detailed temporal transcriptional and metabolic changes in developing soybean embryos to gain a systems biology view of developmental and metabolic changes and to identify potential targets for metabolic engineering. Two major developmental and metabolic transitions were captured enabling identification of potential metabolic engineering targets specific to seed filling and to desiccation. The first transition involved a switch between different types of metabolism in dividing and elongating cells. The second transition involved the onset of maturation and desiccation tolerance during seed filling and a switch from photoheterotrophic to heterotrophic metabolism. Clustering analyses of metabolite and transcript data revealed clusters of functionally related metabolites and transcripts active in these different developmental and metabolic programs. The gene clusters provide a resource to generate predictions about the associations and interactions of unknown regulators with their targets based on "guilt-by-association" relationships. The inferred regulators also represent potential targets for future metabolic engineering of relevant pathways and steps in central carbon and nitrogen metabolism in soybean embryos and drought and desiccation tolerance in plants.
Identifiers
What OpenQuestion holds
Registered trials
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.