“…In comparison to other technologies, metabolomics is cheaper per sample than transcriptomics and is not reliant on the availability of genome sequences [8,9]. Therefore, it is considered a powerful tool for the unbiased characterization of genotypes and phenotypes with application in multiple areas, such as evaluation of genetically modified organisms [10][11][12], functional genomics [13][14][15][16][17], responses to environmental factors [18][19][20][21][22][23], metabolic engineering [24,25], and quantitative genetics [26][27][28][29][30]. Furthermore, metabolomics, together with multivariate and correlation analyses, is an excellent tool for the study of systems biology, being widely recognized as the cornerstone of this emerging area [22,[31][32][33][34].…”