近年来，随着现代分子生物学技术的不断发展，推动了系统生物学方法在植物研究中的运用。本研究以水稻籽粒为材料，基于GC-MS的代谢组学方法，结合统计学与生物信息学分析手段（热点图、PCA、S-Plot和MetPA等），提出了一套适合水稻代谢物的提取方法，探讨了适用于水稻代谢组学研究的策略。本研究为未来揭示植物发育机理及适应逆境的分子机制提供了技术支持。
With the continuous development of modern molecular biology techniques, the use of systems biology methods in plant research is promoted in recent years. Taking rice grain as materials, this study based on GC - MS metabonomics method, combining statistics and bioinformatics analysis （heat map, PCA, S - the Plot and MetPA, etc.）, puts forward a set of methods of extracting for rice metabolites, discusses the applicable to rice metabolomics research strategy. This study provides a technical support for revealing the mechanism of plant growth and the molecular mechanism to adapt to adversity in the future.
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