ArticleUltrasonics sonochemistry2022
Combined transcriptome and metabolome analyses reveal the mechanisms of ultrasonication improvement of brown rice germination.
Article in Ultrasonics sonochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Multi-Response Optimization of Controlled Germination Conditions Enhances Functional and Bioactive Properties of AndeanMolecules (Basel, Switzerland) · 2026Article
- Synergistic mechanisms of ultrasound and slightly acidic electrolyzed water in peanut germination revealed by multi-omics analysis.Ultrasonics sonochemistry · 2026Article
- Integrating Metabolomics and Proteomics to Reveal the Regulatory Network Governing the Natural Variation in Rice Seed Germination Rate.Plants (Basel, Switzerland) · 2026Article
- New Frontiers in Cereal and Pseudocereal Germination: Emerging Inducers for Maximizing Bioactive Compounds.Foods (Basel, Switzerland) · 2025Review
- Effects of seasonal climates and MIPS1 mutations on soybean germination through multi-omics analysis.BMC plant biology · 2024Article
- Ultrasonic treatment can improve maize seed germination and abiotic stress resistance.BMC plant biology · 2024Article
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9 authors.
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Abstract
This study investigated the effects of ultrasonication treatment on the germination rate of brown rice. Brown rice grains were subjected to ultrasound (40 kHz/30 min) and then incubated for 36 h at 37 °C to germinate the seeds. Ultrasonic treatment increased the germination rate of brown rice by up to ∼28 % at 30 h. Transcriptomic and metabolomic analyses were performed to explore the mechanisms underlying the effect of ultrasonic treatment on the brown rice germination rate. Comparing the treated and control check samples, 867 differentially expressed genes (DEGs) were identified, including 638 upregulated and 229 downregulated), as well as 498 differentially accumulated metabolites (DAMs), including 422 up accumulated and 76 down accumulated. Multi-omics analysis revealed that the germination rate of brown rice was promoted by increased concentrations of low-molecular metabolites (carbohydrates and carbohydrate conjugates, fatty acids, amino acids, peptides, and analogues), and transcription factors (ARR-B, NAC, bHLH and AP2/EREBP families) as well as increased carbon metabolism. These findings provide new insights into the mechanisms of action of ultrasound in improving the brown rice germination rate and candidate DEGs and DAMs responsible for germination have been identified.
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