Rice metabolic regulatory network spanning the entire life cycle

• 作者: Chenkun Yang Shuangqian Shen Shen Zhou Yufei Li Yuyuan Mao Junjie Zhou Yuheng Shi Longxu An Qianqian Zhou Wenju Peng Yuanyuan Lyu Xuemei Liu Wei Chen Shouchuang Wang Lianghuan Qu Xianqing Liu Alisdair R.Fernie Jie Luo
• 来源期刊: 分子植物（英文版）
• 年，卷（期）: 2022,（2）
• 所属期刊栏目: Resource Articles
• 页码范围: 258-275
• 页数: 18页
• 语种: 英文

摘要

As one of the most important crops in the world,rice(Oryza sativa)is a model plant for metabolome research.Although many studies have focused on the analysis of specific tissues,the changes in metab-olite abundance across the entire life cycle have not yet been determined.In this study,combining both tar-geted and nontargeted metabolite profiling methods,a total of 825 annotated metabolites were quantified in rice samples from different tissues covering the entire life cycle.The contents of metabolites in different tissues of rice were significantly different,with various metabolites accumulating in the plumule and radicle during seed germination.Combining these data with transcriptome data obtained from the same time period,we constructed the Rice Metabolic Regulation Network.The metabolites and co-expressed genes were further divided into 12 clusters according to their accumulation patterns,with members within each cluster displaying a uniform and clear pattern of abundance across development.Using this dataset,we established a comprehensive metabolic profile of the rice life cycle and used two independent strategies to identify novel transcription factors-namely the use of known regulatory genes as bait to screen for new networks underlying lignin metabolism and the unbiased identification of new glycerophospholipid metabolism regulators on the basis of tissue specificity.This study thus demonstrates how guilt-by-association analysis of metabolome and transcriptome data spanning the entire life cycle in cereal crops provides novel resources and tools to aid in understanding the mechanisms underlying important agro-nomic traits.