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Table 3 Best fit of codon-based models of evolution to ring-tailed lemur MHC-DRB variation

From: Next-generation genotyping of hypervariable loci in many individuals of a non-model species: technical and theoretical implications

MHC-DRB

LnL

AIC

ΔAIC

Parameters

PSS

M0 - one ratio [ω]

−1464.19

3184.38

378.64

ω = 0.60

Not applicable

M1a - neutral

−1302.65

2863.3

57.56

p0 = 0.65, ω0 = 0.0

Not applicable

M2a - selection

−1271.87

2805.74

0

p0 = 0.64, ω0 = 0.01,

p1 = 0.25, ω1 = 1.0,

p2 = 0.11, ω2 = 3.94

5, 16, 36, 56, 57

M7 - nearly neutral with β

−1298.41

2854.82

49.08

p = 0.05, q = 0.15

Not applicable

M8 - positive selection with β

−1273.31

2808.62

2.88

p0 = 0.87, p1 = 0.13,

p = 0.02, q = 0.05, ω = 3.84

5, 16, 36, 56, 57

  1. Note. Fit of data compared between models of strict neutral evolution [M0, M1a, & M7] and models including positive selection (M2a & M8; [91]). Fit assessed by log likelihood score [LnL], and Akaike information criteria [AIC] values; the model with the lowest AIC value, or a ΔAIC of zero, indicates the model that best fits the data. Estimated proportions of sites [pX] evolving at corresponding estimated rates [ωX = dN/dS] are given in the parameters column, as well as positively selected sites [PSS], or AA sites under positive selection in each model