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. 2010 Jul 22;10:220. doi: 10.1186/1471-2148-10-220

Table 4.

MLEs and likelihood ratio tests computed using Sweep_bott software for bottleneck and selective models.

Multilocus Single-locus
mtCOI GlobX SAHH PGM

northern EPR
M1 MLE -99.718 -37.728 -11.171 -14.341 -36.475
M2 MLE -92.660
M3 MLE -90.460 -35.171 -9.712 -11.170 -34.407
LRT M2-M1: 14.116
p < 0.005
M3-M1: 18.516 5.114 2.918 6.342 4.136
p < 0.025 (NS) (NS) p < 0.025 (NS)
M3-M2: 4.400
(NS)

southern EPR
M1 MLE -159.367 -4.149 -57.112 -38.064 -60.042
M2 MLE -153.211
M3 MLE -139.745 -0.290 -52.196 -30.557 -56.704
LRT M2-M1: 12.312
p < 0.005
M3-M1: 39.243 7.718 9.830 15.014 6.677
p < 0.005 p < 0.025 p < 0.01 p < 0.005 p < 0.005
M3-M2: 23.282
p < 0.005

M1, neutral model; M2, bottleneck model; M3, selective sweep model; NS, non-significant. Significances of the likelihood ratio tests (LRT) were tested according to a χ2 table with a df equal to the difference of the number of parameters estimated for each model (df = 2, 8 and 6 for M2-M1, M3-M1 and M3-M2 multilocus LRTs, respectively, and df = 1 for the M3-M1 single-locus LRT).