A novel integrated non-targeted metabolomic analysis reveals significant metabolite variations between different lettuce (Lactuca sativa. L) varieties  

作　　者：Xiao Yang Shiwei Wei Bin Liu Doudou Guo Bangxiao Zheng Lei Feng Yumin Liu Francisco A.Tomás-Barberán Lijun Luo Danfeng Huang 

机构地区：[1]School of Agriculture and Biology,Shanghai Jiao Tong University,Key Laboratory of Urban Agriculture,Ministry of Agriculture,Shanghai,200240,China [2]Shanghai Agrobiological Gene Center,Shanghai,201106,China [3]Research Group on Quality,Safety and Bioactivity of Plant Foods,Center for Applied Soil Science and Biology of the Segura,the Spanish National Research Council,(CEBAS-CSIC),Murcia,30100,Spain [4]Key Laboratory of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen,361021,China [5]University of Chinese Academy of Sciences,Beijing,100049,China [6]Instrumental Analysis Center,Shanghai Jiao Tong University,Shanghai,200240,China

出　　处：《Horticulture Research》2018年第1期513-526,共14页园艺研究（英文）

基　　金：This work was supported by the National Natural Science Foundation of China(No.61233006);the Seed Industry Development Project of Shanghai,China(Grant No.2016,1-8);Shanghai Agriculture Applied Technology Development Program,China(Grant No.20170304);X.Y.was supported by the State Scholarship Fund of China Scholarship Council(No.201706230173).

摘　　要：Lettuce is an important leafy vegetable that represents a significant dietary source of antioxidants and bioactive compounds.However,the levels of metabolites in different lettuce cultivars are poorly characterized.In this study,we used combined GC×GC-TOF/MS and UPLC-IMS-QTOF/MS to detect and relatively quantify metabolites in 30 lettuce cultivars representing large genetic diversity.Comparison with online databases,the published literature,standards as well using collision cross-section values enabled putative identification of 171 metabolites.Sixteen of these 171 metabolites(including phenolic acid derivatives,glycosylated flavonoids,and one iridoid)were present at significantly different levels in leaf and head type lettuces,which suggested the significant metabolomic variations between the leaf and head types of lettuce are related to secondary metabolism.A combination of the results and metabolic network analysis techniques suggested that leaf and head type lettuces contain not only different levels of metabolites but also have significant variations in the corresponding associated metabolic networks.The novel lettuce metabolite library and novel non-targeted metabolomics strategy devised in this study could be used to further characterize metabolic variations between lettuce cultivars or other plants.Moreover,the findings of this study provide important insight into metabolic adaptations due to natural and human selection,which could stimulate further research to potentially improve lettuce quality,yield,and nutritional value.

关 键 词：CULTIVAR ANALYSIS representing 

分 类 号：S63[农业科学—蔬菜学]