TABLE 2.
Bacillaceae |
Clostridium |
Escherichia |
Pseudomonas |
||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B1 |
B2 |
B3 |
C1 |
C2 |
C3 |
E1 |
E2 |
E3 |
P1 |
P2 |
P3 |
||
Model | Parameter | (5,453)c | (5,614) | (6,813) | (3,546) | (6,526) | (7,645) | (4,681) | (5,063) | (5,307) | (6,505) | (8,761) | (9,140) |
M0 | μ | 2.705 | 0.515 | 0.404 | 8.315 | 1.041 | 0.478 | 20.143 | 12.774 | 2.683 | 1.847 | 1.162 | 0.947 |
β | 0.577 | 1.281 | 1.700 | 0.326 | 2.430 | 1.851 | 0.372 | 0.285 | 0.439 | 0.587 | 1.117 | 1.466 | |
γ | 1.311 | 2.096 | 2.725 | 0.590 | 3.498 | 3.050 | 0.686 | 0.495 | 0.817 | 0.831 | 1.703 | 2.209 | |
ln L | −16,551 | −18,432 | −24,799 | −7,424 | −22,783 | −27,618 | −13,019 | −12,016 | −15,071 | −17,175 | −29,926 | −32,327 | |
M0 + π | μ | 2.102 | 0.214 | 0.197 | 8.385 | 0.482 | 0.149 | 19.805 | 11.699 | 1.837 | 1.332 | 0.695 | 0.619 |
β | 0.440 | 0.845 | 1.314 | 0.315 | 1.578 | 1.191 | 0.335 | 0.259 | 0.353 | 0.535 | 0.892 | 1.364 | |
γ | 1.900 | 3.862 | 4.489 | 0.728 | 4.397 | 4.742 | 0.860 | 0.704 | 1.109 | 1.210 | 2.638 | 3.254 | |
πa | 0.487 | 0.788 | 0.797 | 0.255 | 0.774 | 0.883 | 0.274 | 0.377 | 0.511 | 0.574 | 0.691 | 0.662 | |
πf | 0.041 | 0.036 | 0.035 | 0.029 | 0.036 | 0.037 | 0.074 | 0.040 | 0.044 | 0.041 | 0.047 | 0.055 | |
ln L | −16,243 | −17,799 | −24,069 | −7,385 | −22,112 | −26,491 | −12,924 | −11,876 | −14,822 | −16,787 | −29,169 | −31,715 | |
Δ AICa | −612 | −1,262 | −1,456 | −74 | −1,338 | −2,250 | −186 | −276 | −494 | −772 | −1,510 | −1,220 | |
M0 + Γ + π | μ | 3.811 | 0.264 | 0.285 | 8.446 | 1.623 | 0.193 | 22.112 | 14.150 | 8.257 | 4.123 | 0.948 | 0.809 |
αΓb | 0.330 | 0.736 | 0.811 | 1.839 | 0.334 | 1.263 | 0.850 | 0.487 | 0.150 | 0.139 | 0.575 | 0.751 | |
ln L | −15,861 | −17,553 | −23,738 | −7,370 | −21,312 | −26,253 | −12,830 | −11,728 | −13,951 | −16,334 | −28,674 | −31,325 | |
Δ AICa | −762 | −490 | −660 | −28 | −1598 | −474 | −190 | −294 | −1740 | −904 | −988 | −778 |
Akaike's information criteria (Δ AICs) are shown as (M0 + π) vs. M0 and (M0 + Γ + π) vs. (M0 + π). By definition, AIC = 2(−ln L + K), where K is the number of parameters that are estimated from the data; thereafter, Δ AIC = 2(−Δ ln L + ΔK). The model that best approximates the data is the one with smallest AIC.
This is the shape parameter in a Γ-distribution, which is traditionally described as α. The use of αΓ is to distinguish it from the symbol α used in the instantaneous rate matrix.
The number of gene families for each clade is shown in parentheses underneath the clade name.