Research Article

Computational Analysis Suggests That Lyssavirus Glycoprotein Gene Plays a Minor Role in Viral Adaptation

Table 4

Parameter estimates, 𝑑 𝑁 / 𝑑 𝑆 ratio, likelihood score, and test statistics under models of variable 𝜔 ratios among sites for the glycoprotein gene in lyssavirus.

Parameter estimatesdN/dSLikelihood scores ( 𝑙 )Model comparison ( 2 Δ 𝑙 , d.f., 𝑃 )Positive selection

M0: one ratio 𝜔 = 0 . 0 8 0.08−24586.10 None

M1: Nearly neutral 𝜔 0 = 0 . 0 5 , 𝜔 1 = 1 , ( 𝑝 0 = 0 . 8 7 , 𝑝 1 = 0 . 1 3 )0.17−24010.40Not allowed

M2: Positive selection 𝜔 0 = 0 . 0 5 , 𝜔 1 = 1 , 𝜔 2 = 1 , ( 𝑝 0 = 0 . 8 7 , 𝑝 1 = 0 . 0 6 , 𝑝 2 = 0 . 0 7 )0.17−24010.40M2 versus M1:0, d.f. = 2, 𝑃 = . 9 9 None

M7: β, Neutral 𝑝 = 0 . 2 6 , 𝑞 = 2 . 1 1 0.1023443.16Not allowed

M8: 𝛽 + 𝜔 > 1 , Selection 𝑝 0 = 0 . 9 8 , 𝑝 = 0 . 2 8 , 𝑞 = 2 . 9 2 , ( 𝑝 1 = 0 . 0 2 ), 𝜔 = 1 . 0 0.1023434.07M7 versus M8: 18.18, d.f. = 2, 𝑃 = . 0 0 0 1 See Table 6