Number of partitions* | number of parameters |
L
ML
| AIC | Δi | BIC
ML
|
|---|
1 | 9 | 164,396 | 328,810 | 9894.730 | 328,825 |
2 | 19 | 162,890 | 325,819 | 6903.326 | 325,850 |
4A | 39 | 163,108 | 326,295 | 7379.667 | 326,360 |
4B | 39 | 161,931 | 323,941 | 5026.042 | 324,006 |
5 | 49 | 162,673 | 325,445 | 6529.681 | 325,527 |
13 | 129 | 159,328 | 318,915 | 0.000 | 319,131 |
- For each type of analysis the following results are shown: total number of parameters; log likelihood calculated using RAxML (L
ML
); AIC values; the difference in AIC values among model i and the best model (Δi = AICi - AICmin); BIC
ML
values.
- *1 partition = all dataset; 2 partitions = mitochondrial (16S + CytB) and nuclear (Myh6 + Rag1 + Rag2); 4 partitions A = 16S and 1st, 2nd, and 3rd codon position of protein coding genes; 4 partitions B = 16S + CytB and 1st, 2nd, and 3rd codon position of nuclear genes; 5 partitions = by each gene (16S + CytB + Myh6 + Rag1 + Rag2); 13 partitions = 16S + each codon position of each protein coding genes (1st, 2nd, and 3rd codon position of CytB; 1st, 2nd, and 3rd codon position of Myh6; 1st, 2nd, and 3rd codon position of Rag1; 1st, 2nd, and 3rd codon position of Rag2).
