Editor-in-charge | Wang Yi
As a solid organism, plants accumulate a large number of metabolites during their growth and development to adapt to the changing environment and various stresses. Rice (Oryza sativa L.) is one of the most important crops in the world, and many current studies have focused on the analysis of specific tissues, but the dynamic changes in metabolites throughout the life cycle of rice have not been elucidated.
Recently, the team of Professor Roger of Hainan University published a research paper entitled Rice metabolic regulatory network spanning its entire life cycle online at Molecular Plant. In this study, the metabolic regulation network of the main tissues and organs in the whole growth period of rice was constructed by combining metabolome and transcriptome analysis, and the regulatory genes that regulate the accumulation of key metabolites were accurately identified. This study is not only of great significance for basic rice research and breeding practices, but also provides reference for the study of metabolomics of other crops during the whole growth period.
The study used samples of different tissues of the indica varieties Zhenshan 97 and Ming Hui 63 throughout their life cycle, combined with targeted and non-targeted metabolomics analysis methods, and a total of 825 metabolites were annotated and quantitatively analyzed. Combining metabolome and transcriptome data from the same period, a rice metabolic regulation network (RMRN) was constructed.
Figure 1. Schematic Representation of the Design for the RMRN.
Using this dataset, the study successfully dissected new metabolic pathways using two independent strategies, namely the use of known transcription factors as bait to screen for new regulatory networks of lignin metabolism, and the unbiased identification of new regulators of glycerolphospholipid metabolism based on tissue specificity. Therefore, the study conducted a comprehensive metabolic spectrum analysis of the whole growth period of rice through multi-omics means, and its big data resources will also promote the improvement of rice growth regulation, resistance and nutritional quality.
Figure 2. Analysis of Metabolic Variation in Different Tissues or Organs Using TripleTOF 5600+ LC-MS/MS.
Figure 3. OsDREB2A Controls Glycerophospholipid Metabolism by Regulating OsPLAIVα.
Professor Roger of Hainan University is the corresponding author of the paper, Yang Chenkun, a doctoral student at the College of Life Science and Technology of Huazhong Agricultural University, is the first author, and doctoral students Shen Shuangyao, Zhou Shen and Li Yufei jointly participated in the study. Professor Wang Shouchuang of Hainan University, Professor Chen Wei of Huazhong Agricultural University, Associate Professor Qu Lianghuan and Professor Alisdair R. Fernie of the Max Planck Institute in Germany participated in the study.
Original link:
https://www.sciencedirect.com/science/article/pii/S1674205221004111
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