The past few years have seen the development of powerful statistical method
s for detecting adaptive molecular evolution. These methods compare synonym
ous and nonsynonymous substitution rates in protein-coding genes, and regar
d a nonsynonymous rate elevated above the synonymous rate as evidence for d
arwinian selection. Numerous cases of molecular adaptation are being identi
fied in various systems from viruses to humans. Although previous analyses
averaging rates over sites and time have little power, recent methods desig
ned to detect positive selection at individual sites and lineages have been
successful, Here, we summarize recent statistical methods for detecting mo
lecular adaptation, and discuss their limitations and possible improvements
.