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Metabolomics and Transcriptomics Reveal Key Metabolism Pathways of Giant Embryo Development in Rice

ABSTRACT: Rice embryos are rich in high-quality protein, fat, vitamins and minerals, representing the most important nutritional part of brown rice. However, the molecular mechanism of rice embryo development is poorly understood. In this study, map-based cloning, metabolomics, and transcriptomics were applied to explore the giant embryo rice cultivar Dapeimi grown under natural conditions. The map-based cloning results demonstrated that Dapeimi is a novel allelic mutant of GE, and the functional mutation site is a single cytosine deletion in the exon1, which differed from the findings of previous reports. The identification and analysis of differential metabolites indicated that plants lacking the GE mainly promoted amino acid metabolism, energy metabolism, and lipid metabolism pathways in the rice embryo. Changes of gene expression in related metabolic regulatory networks were analyzed, and substantial changes in the transcriptome supported the metabolomics results. By analyzing rice embryo development through a combination of strategies, this research contributes to a greater understanding of the molecular mechanism of rice embryo development, and provides a theoretical foundation for improving rice nutrition and breeding high-nutrition varieties.

ORGANISM(S): Oryza sativa

PROVIDER: GSE173301 | GEO | 2021/04/27

REPOSITORIES: GEO

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Project description:In this study, integrated transcriptomics, proteomics and metabolomics approaches were applied to investigate the molecular responses of O3 in the leaves of two-weeks old rice (cv. Nipponbare) seedlings exposed to 0.2 ppm O3 for a period of 24 h. Based on the morphological alteration of O3-exposed rice leaves, transcript profiling of rice genes was performed in leaves exposed for 1, 12 and 24 h using rice DNA microarray chip, proteomics and metabolomics. This systematic survey showed that O3 triggers a chain reaction of altered gene, protein and metabolite expressions involved in multiple cellular processes in rice. Also investigated were the molecular responses in the leaves of two-weeks old rice (cv. Nipponbare) seedlings under continuous light and pure air (as a positive control for ozone exposure experiments) for a period of 24 h. Transcript profiling of rice genes was performed in leaves exposed for 1, 12 and 24 h using rice DNA microarray chip, proteomics and metabolomics. This systematic survey showed that continuous light and growth for 24 h also triggers a chain reaction of altered gene expressions involved in multiple cellular processes in rice, but different from those against ozone, in general. Experiment Overall Design: Ozone-treated Samples: An in vivo 14-days-old rice seedling model system was used, where whole seedlings were used for exposure/fumigation to the ozone (0.2 ppm). Dye-swap or reverse labeling with Cy3 and Cy5 dyes procedure was applied followed by hybridization and wash processes, and the hybridized microarrays (G4138A) were scanned using a GenePix microarray scanner followed by the Gene Pix 4000 analysis application program for image analysis and data extraction processes. The GeneSpring Ver. 4 software was used for normalization. Experiment Overall Design: Control Samples: An in vivo 14-days-old rice seedling model system was used, where whole seedlings were used for exposure to continuous light and pure air. Dye-swap or reverse labeling with Cy3 and Cy5 dyes procedure was applied followed by hybridization and wash processes, and the hybridized microarrays (G4138A) were scanned using a Standard protocol of Agilent DNA Microarray Scanner and data processing was done by Feature Extraction software Version 8.1 from Agilent Technologies.

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Metabolomics and Transcriptomics Reveal Key Metabolism Pathways of Giant Embryo Development in Rice

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