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Untargeted metabolome analysis

HW Huiyu Wang
ZL Zhubo Li
LY Lingyun Yuan
HZ Hefang Zhou
XH Xilin Hou
TL Tongkun Liu
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The samples for untargeted metabolome analysis are same as transcriptome analysis. But to distinguish them from transcriptomes in data analysis, the metabolites in yellow-inner and green-outer leaves were named MIN and MOU respectively. Metabolite identification and quantification were performed by Biomarker Technology Co. (Beijing, China). In brief, metabolite identification was annotated against following public database: HMDB (http://www.hmdb.ca/), KEGG (Kyoto Encyclopedia of Genes and Genomes), following the standard metabolic operating procedures. Multiple-reaction monitoring (MRM) was used for metabolite quantification. Targeted UPLC-ESI-QTOF/MS profiling and multivariate data analysis (PCA and Opls-da) [70] were used to obtain more reliable information about metabolites. For all differential metabolites which has three biologically repeats, an absolute value of log2 (fold change) ≥ 1 and variable importance in projection (VIP) ≥ 1, P-value < 0.05 [69] were the criteria for identifying significantly differential metabolites.

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