Table 4 in The geography of diversification in the mormoopids (Chiroptera: Mormoopidae)

Table 4. Models of molecular evolution and parameters selected for each molecular data set (see Table 2 for sequences)
DataModelR -matrixαI−2logΛd.f.PML mtrDNAGTR+I+Γ1.0, 3.3, 1.0, 1.0, 10.70.40900.334724.216> 0.05Bayes mtrDNAGTR+I+Γ7.9 (3.6–13.8), 12.20.421 (0.260–0.599)0.296 (0.156–0.426)–––(5.6–20.9), 5.5(2.5–9.6), 0.3(0.0–1.0), 48.3(23.1–83.0)ML cyt bGTR+I+Γ0.5, 9.7, 0.5, 0.3, 10.40.97730.504052.443> 0.05Bayes cyt bGTR+I+Γ0.7 (0.1–1.7), 13.80.851 (0.647–1.068)0.507 (0.470–0.544)–––(3.9–32.4), 0.9(0.0–2.4), 0.7(0.0–2.0), 21.1(5.3–51.7)ML Rag 2GTR+Γ1.0, 5.1, 1.0, 1.0, 7.80.2433–26.218> 0.05Bayes Rag 2GTR+Γ3.1 (1.1–5.7), 8.80.265 (0.146–0.393)––––(3.7–15.5), 1.0(0.2–1.9), 2.1(0.6–4.2), 13.3(5.5–26.6)ML molecularGTR+I+Γ6.5, 11.7, 4.1, 1.0,0.45050.382043.116<0.00137.0
Bayes, parameters used in Bayesian analysis of concatenated data; GTR, general time reversible model; ML, parameters used in maximum likelihood analyses; R -matrix, rate matrix parameter (with respect to G-T transversion); α, shape parameter, I, proportion of invariant sites; –2logΛ, 2[log L 1 − log L 2], where L 1 = likelihood without clock and L 2 = likelihood with clock. Parameters obtained from Bayesian analyses are followed by the 95% confidence interval (in parentheses)