Figure 4
Mitogenomic PCA plots. Principal component analyses using Pearson’s correlation based on various characteristics of the mitogenome. (a) shows the PCA plot based on the same five variables in the HERMES analysis, with the first two principal components accounting for 59.39% of the dataset variability. Additionally, (b–d) summarise nucleotide composition, asymmetry (skew) information and amino acid composition with 91.97%, 56.98% and 56.98% of each dataset variability, respectively, in the first two principal components. Data points are labelled with the first 2 or 3 letters of the genus followed by the first 3 letters of the species name; e.g. ‘ChDes’ for Cherax destructor.
