期刊
HEREDITY
卷 99, 期 6, 页码 567-579出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/sj.hdy.6801052
关键词
functional divergence; positive selection; comparative genomics; molecular evolution; protein structure; population genetics
Continued genome sequencing has fueled progress in statistical methods for understanding the action of natural selection at the molecular level. This article reviews various statistical techniques (and their applicability) for detecting adaptation events and the functional divergence of proteins. As large- scale automated studies become more frequent, they provide a useful resource for generating biological null hypotheses for further experimental and statistical testing. Furthermore, they shed light on typical patterns of lineage-specific evolution of organisms, on the functional and structural evolution of protein families and on the interplay between the two. More complex models are being developed to better reflect the underlying biological and chemical processes and to complement simpler statistical models. Linking molecular processes to their statistical signatures in genomes can be demanding, and the proper application of statistical models is discussed.
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