RT Journal Article
SR Electronic
T1 Estimating the evolution of human life history traits in age-structured populations
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 002584
DO 10.1101/002584
A1 Ryan Baldini
YR 2014
UL http://biorxiv.org/content/early/2014/02/11/002584.abstract
AB I propose a method that estimates the selection response of all vital rates in an age-structured population. I assume that vital rates are determined by the additive genetic contributions of many loci. The method uses all relatedness information in the sample to inform its estimates of genetic parameters, via an MCMC Bayesian framework. One can use the results to estimate the selection response of any life history trait that is a function of the vital rates, including the age at first reproduction, total lifetime fertility, survival to adulthood, and others. This method closely ties the empirical analysis of life history evolution to dynamically complete models of natural selection, and therefore enjoys some theoretical advantages over other methods. I demonstrate the method on a simulated model of evolution with two age classes. Finally I discuss how the method can be extended to more complicated cases.