Detecting individual sites subject to episodic diversifying selection
- PMID: 22807683
- PMCID: PMC3395634
- DOI: 10.1371/journal.pgen.1002764
Detecting individual sites subject to episodic diversifying selection
Abstract
The imprint of natural selection on protein coding genes is often difficult to identify because selection is frequently transient or episodic, i.e. it affects only a subset of lineages. Existing computational techniques, which are designed to identify sites subject to pervasive selection, may fail to recognize sites where selection is episodic: a large proportion of positively selected sites. We present a mixed effects model of evolution (MEME) that is capable of identifying instances of both episodic and pervasive positive selection at the level of an individual site. Using empirical and simulated data, we demonstrate the superior performance of MEME over older models under a broad range of scenarios. We find that episodic selection is widespread and conclude that the number of sites experiencing positive selection may have been vastly underestimated.
Conflict of interest statement
The authors have declared that no competing interests exist.
Figures
are showed in different colors. B) Samples from our new random effects approach , used by MEME, in which the rate on each branch is drawn independently of the rate on any other branch. All possible assignments of rates to sites are considered.
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