采用主成分分析真菌应激大豆的代谢组学研究  

Metabonomics Study of Fungal Stressed Soybeans with Principle Component Analysis

作　　者：冯升同[1] 冯声宝[2] 欧阳荣[1] 

机构地区：[1]北京石油化工学院数理系,北京102617 [2]新加坡国立大学化学系,新加坡117543

出　　处：《食品研究与开发》2011年第10期143-147,161,共6页Food Research and Development

摘　　要：真菌应激后的大豆会产生具有一定保健功效的植物抗毒素异戊烯黄酮(glyceollins),可利用此真菌应激后的大豆开发出新的功能食品。但与此同时,真菌应激后的大豆还会产生大量的微量次级代谢产物,有些为功效成分,有些可能为有害成分,要全部鉴定这些微量成分的结构、代谢途径、产生机理,功能以及安全性是非常困难的。利用代谢组学方法研究真菌应激后的大豆次级代谢产物,对获取的大量数据进行数学预处理,包括调相、基线校正以及归一化。对预处理后的数据进行主成分分析,比较标准化和未标准化的2种结果。采用得分图对样本进行分类,采用负载图分析不同样本之间的差异,分析"真菌应激"以及"应激天数"对大豆次级代谢产物产生的影响过程,能够有针对性地研究具有主要影响作用的微量次级代谢产物,为真菌应激后的大豆深加工质量控制、营养、功能和安全研究提供参考。Fungal stress on soybeans can produce a group of phytoalexins, named glyceollins. Thus the stressed soybeans can be developed as novel functional foods. Meanwhile, fungal stress on soybeans can lead to generation of enormous secondary metabolites with unknown structures and properties. Some of the metabolite may possess health benefits, while others may be harmful to the human. However, it＇s almost impossible to identify all the metabolite structures, learn their metabolism pathways and the functional properties. This study utilized metabonomics to study the fungal stressed soybeans and subsequently used the Principle Component Analysis （PCA） method to process the metabonomics data. Firstly the data is processed by phase modulation, baseline correction and normalization. Two results is compared when the data is standardized and not standardized. The samples are classified by score plot and the differences are identified by load plot. The effects of＇fungal stress＂ and ＂stressed days＂ on soybeans is compared. The key metabolites can be confirmed, which can be important indicators to control the quality, nutrition and safety of fungal stressed soybeans.

关 键 词：主成分分析法 大豆 真菌应激 代谢组学 核磁共振 

分 类 号：S565.1[农业科学—作物学]