Haplotype-resolved genome and population genomics of the threatened garden dormouse in Europe

Table 3.

Model selection results from demographic inference using the site-frequency spectrum (SFS) in fastsimcoal2

Population Model NeCON NeANC NeBOT TBOT ΔL AIC ΔAIC
Alps BOT 128,117 82,321 81 2193 37,862 249,495 0
Harz BOT 355 89,848 64,104 1535 78,191 513,286 0
Northeast BOT 749 65,464 48,177 2626 81,403 484,918 0
Northwest BOT 1241 57,891 53,781 4910 141,472 1,160,715 0
Alps ISC 9158 47,203 NA NA 37,882 249,591 95
Harz ISC 135 179,897 NA NA 78,194 513,305 19
Northeast ISC 2318 24,407 NA NA 81,403 484,921 2
Northwest ISC 5931 112,707 NA NA 141,481 1,160,762 47
Alps Null 26,348 NA NA NA 37,961 249,947 452
Harz Null 34,143 NA NA NA 78,713 515,688 2402
Northeast Null 50,657 NA NA NA 81,587 485,760 841
Northwest Null 90,174 NA NA NA 142,192 1,164,026 3311
  • Three models were run for each regional grouping of Alps, Harz, Northeast, and Northwest (population). Model refers to one of three model types: Null model of constant population size (Null), instantaneous size change/bottleneck (BOT), and ISC. Parameters were estimated for contemporary Ne (NeCON), ancestral Ne (NeANC), Ne during bottleneck (NeBOT), and time of bottleneck in number of generations (TBOT). Model fit and selection criterion are shown as delta likelihood, calculated as maximum estimated likelihood maximum observed likelihood (ΔL), AIC, and ΔAIC.

This Article

  1. Genome Res. 34: 2094-2107

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