Figure 1

Principal component analysis (PCA) of amino acid data. Principal component analysis of the intracellular amino acid pools data in a 2D graph of PC1 and PC2. The biplot shows amino acid data (scores) as labeled dots and treatment effect (loadings) as vectors for the expressing (E) and control (C) strain at different concentrations in the inlet gas (Normoxia (N); Oxygen-limited (L) and Hypoxia (H)). Vectors that are close together are highly correlated in terms of the observed amino acid pool sizes for each treatment, while vectors that are orthogonal are poorly correlated. PC1 correlates well with the change in oxygen conditions, whereas PC2 appears to be correlated with the strain type.