Seed metabolomic study reveals significant metabolite variations and correlations among different soybean cultivars

作     者：Hong Lin Jun Rao Jianxin Shi Chaoyang Hu Fang Cheng Zoe A.Wilson Dabing Zhang Sheng Quan 

作者机构：National Center for the Molecular Characterization of Genetically Modified OrganismsSchool of Life Sciences and BiotechnologyShanghai Jiao Tong University Department of Plant and Crop SciencesSchool of BiosciencesUniversity of NottinghamSutton Bonington Campus Shanghai Ruifeng Agricultural Science and Technology Co.Ltd. 

出 版 物：《Journal of Integrative Plant Biology》 (植物学报（英文版）)

年 卷 期：2014年第56卷第9期

页      面：826-836页

核心收录：

学科分类：0710[理学-生物学] 090601[农学-基础兽医学] 09[农学] 0906[农学-兽医学] 0901[农学-作物学] 0703[理学-化学] 0902[农学-园艺学] 

基　　金：supported by the China National Transgenic Plant Special Fund(2011ZX08012-002 and 2013ZX08012-002) Innovative Research Team Fund(Ministry of Education,China) 111 Project Fund(B14016) 

主　　题：Gas chromatography-mass spectrometry(GC-MS) metabolic network metabolite-metabolite correlation metabolomics soybean ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS) 

摘      要：Soybean[Glycine max（L.） Merr.]is one of the world＇s major crops,and soybean seeds are a rich and important resource for proteins and *** ＂omics＂ studies,such as genomics,transcriptomics,and proteomics,have been widely applied in soybean molecular research,fewer metabolomic studies have been conducted for largescale detection of low molecular weight metabolites,especially in soybean *** this study,we investigated the seed metabolomes of 29 common soybean cultivars through combined gas chromatography-mass spectrometry and ultra-performance liquid chromatography-tandem mass *** hundred sixty-nine named metabolites were identified and subsequently used to construct a metabolic network of mature soybean *** the 169 detected metabolites,104 were found to be significantly variable in their levels across tested *** markers that could be used to distinguish genetically related soybean cultivars were also identified,and metabolitemetabolite correlation analysis revealed some significant associations within the same or among different metabolite *** from this work may potentially provide the basis for further studies on both soybean seed metabolism and metabolic engineering to improve soybean seed quality and yield.