Statistical methods for detecting molecular adaptation.

by: Z Yang, JP Bielawski

TRENDS IN ECOLOGY AND EVOLUTION, Vol. 15, No. 12. (1 December 2000), pp. 496-503.

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Abstract

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

@article{citeulike:835240, abstract = {The past few years have seen the development of powerful statistical methods for detecting adaptive molecular evolution. These methods compare synonymous and nonsynonymous substitution rates in protein-coding genes, and regard a nonsynonymous rate elevated above the synonymous rate as evidence for darwinian selection. Numerous cases of molecular adaptation are being identified in various systems from viruses to humans. Although previous analyses averaging rates over sites and time have little power, recent methods designed to detect positive selection at individual sites and lineages have been successful. Here, we summarize recent statistical methods for detecting molecular adaptation, and discuss their limitations and possible improvements.}, address = {Galton Laboratory, Dept of Biology, University College London, 4 Stephenson Way, NW1 2HE, London, UK}, author = {Yang, Z. and Bielawski, J. P. }, citeulike-article-id = {835240}, issn = {0169-5347}, journal = {TRENDS IN ECOLOGY AND EVOLUTION}, keywords = {adaptation, positive, selection, w}, month = {December}, number = {12}, pages = {496--503}, posted-at = {2006-09-08 10:51:39}, priority = {2}, title = {Statistical methods for detecting molecular adaptation.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/11114436}, volume = {15}, year = {2000} }

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TY - JOUR ID - citeulike:835240 L3 - citeulike-article-id:835240 TI - Statistical methods for detecting molecular adaptation. JF - TRENDS IN ECOLOGY AND EVOLUTION VL - 15 IS - 12 SP - 496 EP - 503 AD - Galton Laboratory, Dept of Biology, University College London, 4 Stephenson Way, NW1 2HE, London, UK SN - 0169-5347 N2 - The past few years have seen the development of powerful statistical methods for detecting adaptive molecular evolution. These methods compare synonymous and nonsynonymous substitution rates in protein-coding genes, and regard a nonsynonymous rate elevated above the synonymous rate as evidence for darwinian selection. Numerous cases of molecular adaptation are being identified in various systems from viruses to humans. Although previous analyses averaging rates over sites and time have little power, recent methods designed to detect positive selection at individual sites and lineages have been successful. Here, we summarize recent statistical methods for detecting molecular adaptation, and discuss their limitations and possible improvements. KW - adaptation KW - positive KW - selection KW - w AU - Yang, Z AU - Bielawski, JP PY - 2000/12/01/ UR - http://view.ncbi.nlm.nih.gov/pubmed/11114436 ER -

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