Skip to main content
. 2015 Dec 8;8(1):161–175. doi: 10.1093/gbe/evv241

Table 2.

Compositional Heterogeneity in Mitogenomes

Conventional Chi-square
Foster (2004)
No rogue
Protein
n missing 1st 2nd 1st RY 1st RY 2nd 1st two-state 1st RY 2nd 1st two-state
atp6 22 0.0999 1 1 1 1 0.2 1 1 0.21 1
atp8 1 1 1 1 1 0.36 0.53 1 0.24 0.51 0.02
cox1–5′ 142 1 1 1 1 1 1 1 1 1 0.85
cox1–3′ 43 1 1 1 1 1 0.95 1 1 0.99 1
cox2 1 1 1 1 1 1 1 1 1 1 1
cox3 2 1 1 1 1 1 0.82 1 1 0.85 0.98
Cytb 1 0.006 1 1 1 0.99 0.94 1 0.93 0.99 0.03
nad1 8 1 1 1 1 1 0.34 1 0.98 0.42 0.79
nad2 148 0 0.981 1 1 0 0 0.5 0 0 0
nad3 2 1 1 1 1 0.22 0.12 1 0.14 0.22 0.45
nad4 5 0 1 1 1 0.01 0.01 1 0 0 0
nad4L 5 1 1 1 1 0.96 0.95 1 0.96 0.99 0.73
nad5 5 0 1 1 1 0 0 1 0 0 0
nad6 5 0 1 1 1 0 0 1 0.01 0 0

Note.—Each gene was tested for the probability that the data are homogeneous and P values are provided in the table, separately for 1st and 2nd codon positions. Significance of the chi-square statistic was assessed either with the chi-square curve (“conventional chi-square”) or using a null distribution as described in Foster (2004). Note that four loci generally have low probability of homogeneity throughout. n missing, mitogenomes in the matrix not sequenced for a locus; no rogue, analysis conducted with rogue taxa omitted; protein, analysis based on amino acid sequence.