文献类型：期刊文献

英文题名：Metabolomics reveals variation and correlation among different tissues of olive (Olea europaea L.)

作者：Rao Guodong[1,2,3] Liu Xiaoxia[1] Zha Weiwei[1] Wu Wenjun[4] Zhang Jianguo[1,2,3]

第一作者：饶国栋;Rao Guodong

通信作者：Zhang, JG[1];Zhang, JG[2];Zhang, JG[3]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[2]Nanjing Forestry Univ, Collaborat Innovat Ctr Sustainable Forestry South, Nanjing 210037, Jiangsu, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forestry, State Forestry Adm, Key Lab Tree Breeding & Cultivat, Beijing 100091, Peoples R China;[4]Gansu Acad Forestry, Lanzhou 730030, Gansu, Peoples R China

年份：2017

卷号：6

期号：9

起止页码：1317-1323

外文期刊名：BIOLOGY OPEN

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000410919200008)】；

基金：This work was supported by Fundamental Research Funds for the Central Non-profit Research Institution of the Chinese Academy of Forestry (CAF) (CAFYBB2016SY001, CAFYBB2014QB028), grants from the National Natural Science Foundation of China (31400569), Collaborative Innovation Plan of Jiangsu Higher Education (2013-2015), the Fundamental Research Funds for the Central Non-profit Research Institution of the Chinese Academy of Forestry (CAF) (RIF2013-11).

语种：英文

外文关键词：Metabolome; Olive; Different tissue; ANOVA; Metabolite-metabolite; Correlation

摘要：Metabolites in olives are associated with nutritional value and physiological properties. However, comprehensive information regarding the olive metabolome is limited. In this study, we identified 226 metabolites from three different tissues of olive using a non-targeted metabolomic profiling approach, of which 76 named metabolites were confirmed. Further statistical analysis revealed that these 76 metabolites covered different types of primary metabolism and some of the secondary metabolism pathways. One-way analysis of variance (ANOVA) statistical assay was performed to calculate the variations within the detected metabolites, and levels of 65 metabolites were differentially expressed in different samples. Hierarchical cluster analysis (HCA) dendrograms showed variations among different tissues that were similar to the metabolite profiles observed in new leaves and fruit. Additionally, 5776 metabolite-metabolite correlations were detected by a Pearson correlation coefficient approach. Screening of the calculated correlations revealed 3136, 3025, and 5184 were determined to metabolites and had significant correlations in three different combinations, respectively. This work provides the first comprehensive metabolomic of olive, which will provide new insights into understanding the olive metabolism, and potentially help advance studies in olive metabolic engineering.