Authors
Stephanie J Spielman, Claus O Wilke
Publication date
2016/11/1
Journal
Molecular biology and evolution
Volume
33
Issue
11
Pages
2990-3002
Publisher
Oxford University Press
Description
The mutation–selection model of coding sequence evolution has received renewed attention for its use in estimating site-specific amino acid propensities and selection coefficient distributions. Two computationally tractable mutation–selection inference frameworks have been introduced: One framework employs a fixed-effects, highly parameterized maximum likelihood approach, whereas the other employs a random-effects Bayesian Dirichlet Process approach. While both implementations follow the same model, they appear to make distinct predictions about the distribution of selection coefficients. The fixed-effects framework estimates a large proportion of highly deleterious substitutions, whereas the random-effects framework estimates that all substitutions are either nearly neutral or weakly deleterious. It remains unknown, however, how accurately each method infers evolutionary constraints at individual …
Scholar articles
SJ Spielman, CO Wilke - Molecular biology and evolution, 2016