Number of partitions* | Number of parameters | L
ML
| AIC | Delta
i
| BIC
ML
|
---|
1 | 9 | 181065.424 | 362148.847 | 9956.687 | 362163.896 |
2 | 19 | 179598.394 | 359234.787 | 7042.627 | 359266.555 |
4A | 39 | 180039.825 | 360157.651 | 7965.491 | 360222.859 |
4B | 39 | 179526.116 | 359130.233 | 6938.073 | 359195.441 |
5 | 49 | 179380.393 | 358858.787 | 6666.627 | 358940.715 |
13 | 129 | 175967.080 | 352192.160 | 0.000 | 352407.849 |
- *1 partition = all datasets; 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).
- 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.