Table 3.
Comparison of models explaining the association between TLR4 constitution, ecological & landscape factors and Hepacivirus infection status (n = 149).
| Models | d.f. | AICc | Delta |
|---|---|---|---|
| 1. Genetic models | |||
| Heterozygosity | 2 | 166.415 | 31.467 |
| TLR4_Ht1 | 2 | 166.174 | 31.226 |
| TLR4_Ht2 | 2 | 166.434 | 31.486 |
| TLR4_Ht3 | 2 | 162.109 | 27.161 |
| TLR4_Ht4 | 2 | 162.178 | 27.230 |
| 2. Ecological & landscape model | |||
| Landscape, sex, age, density:sex ratio | 7 | 136.798 | 1.850 |
| 3. Genetics & landscape models | |||
| TLR4_Ht3, landscape | 4 | 134.948 | 0.000 |
| TLR4_Ht4, landscape | 4 | 135.717 | 0.769 |
Model were split into three different categories: (1) genetic models, investigating the effects of different TLR haplotypes and heterozygosity; (2) ecological & landscape model, investigating landscape, sex, age, and host population density in interaction with sex ratio as factors (Schmid et al. 2018); and (3) genetics & landscape models, combining genetic factors from the genetic models with landscape as a surrogate for ecological factors. The best model is shown in bold.