Statistical methods for detecting molecular adaptation

Citation
Zh. Yang et Jp. Bielawski, Statistical methods for detecting molecular adaptation, TREND ECOL, 15(12), 2000, pp. 496-503
Citations number
79
Categorie Soggetti
Environment/Ecology
Journal title
TRENDS IN ECOLOGY & EVOLUTION
ISSN journal
01695347 → ACNP
Volume
15
Issue
12
Year of publication
2000
Pages
496 - 503
Database
ISI
SICI code
0169-5347(200012)15:12<496:SMFDMA>2.0.ZU;2-P
Abstract
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 .