Metabolic Profiling of Diverse Gene Resources of Glycine max

Diverse plant metabolites are essential for plant growth and physiology. We have established a practical metabolomics strategy based on the use of standard metabolites, which we named “widely targeted metabolomics”. In this study, we conducted metabolome analysis of 80 lines of the worldwide Glycine max core collection. The results provided a matrix as follows: 175 metabolite accumulation data versus 240 samples (80 lines with 3 biological replicates). Analysis of valiance (ANOVA) and principal component analysis (PCA) suggested that the metabolome data had no significant trend. Based on the Pearson correlation coefficient (PCC > 0.9), we successfully elucidated the specific network groups: amino acid, flavonoid, nucleotide and sugar. These metabolite accumulation patterns in G. max lines will be used for mQTL analysis by genome wide association study.