Quantifying evolutionary dynamics from variant-frequency time series.

ABSTRACT: From Kimura's neutral theory of protein evolution to Hubbell's neutral theory of biodiversity, quantifying the relative importance of neutrality versus selection has long been a basic question in evolutionary biology and ecology. With deep sequencing technologies, this question is taking on a new form: given a time-series of the frequency of different variants in a population, what is the likelihood that the observation has arisen due to selection or neutrality? To tackle the 2-variant case, we exploit Fisher's angular transformation, which despite being discovered by Ronald Fisher a century ago, has remained an intellectual curiosity. We show together with a heuristic approach it provides a simple solution for the transition probability density at short times, including drift, selection a

SUBMITTER: Khatri BS 

PROVIDER: S-EPMC5018853 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature