Statistical analysis (coefficient of variation, PCA and
ANOVA analysis)
Within a population the absolute variation or dispersion per trait is
defined as the standard deviation (σ). The relative variation called the
coefficient variation (CV) for individual traits is the ratio of the
standard variation to the mean (µ) of the lines in the population (CV =
(σ/µ)*100). In this study we calculated CV for each metabolite in two
nutritional maternal environments separately. The metabolomics data were
log10 transformed and then used for further analysis such as ANOVA,
principal component and correlation analysis. In order to indicate the
effect of the genotype, environment and their interaction, ANOVA
analysis was performed on the metabolite content of the parental lines,
MM and PI, grown in different nutritional environments. The significance
threshold of the p -value was set to 0.05. Principal component
analysis (PCA) was performed on metabolic values of the RILs and the
parental lines using the R-package “pcaplots”.
Log2 ratio of metabolites between HP and LN (HP:LN) and metabolite
profiles in both maternal environments (HP and LN) were investigated to
identify the metabolic differences between two nutritional maternal
environments with Metaboanalyst 3.0
(http://www.metaboanalyst.ca/faces/home.xhtml).