Fredrik Olsson: Inbreeding, Effective Population Sizes and Genetic Differentiation - A Mathematical Analysis of Structured Populations
Time: Fri 2015-05-22 10.00
Location: Room 14, bulding 5, Kräftriket, Department of mathematics, Stockholm university
Subject area: Matematical Statistics
Doctoral student: Fredrik Olsson , Mathematics
Opponent: Steinar Engen, NTNU
Supervisor: Ola Hössjer, Keith Humphreys
This thesis consists of four papers on various aspects of inbreeding, effective population sizes and genetic differentiation in structured populations, that is, populations that consist of a number of subpopulations. Three of the papers concern age structured populations, where in the first paper we concentrate on calculating the variance effective population size \((N_{eV})\) and how \(N_{eV}\) depends on the time between measurements and the weighting scheme of age classes. In the third paper we develop an estimation procedure of \(N_{eV}\)which uses age specific demographic parameters to obtain approximately unbiased estimates. A simulation method for age structured populations is presented in the fourth paper. It is applicable to models with multiallelic loci in linkage equilibrium.
In the second paper, we develop a framework for analysis of effective population sizes and genetic differentiation in geographically subdivided populations with a general migration scheme. Predictions of gene identities and gene diversities of the population are presented, which are used to find expressions for effective population sizes \((N_e)\) and the coefficient of gene differentiation \((G_{ST})\). We argue that not only the asymptotic values of \(N_e\) and \(G_{ST}\) are important, but also their temporal dynamic patterns.
The models presented in this thesis are important for understanding how different age decomposition, migration and reproduction scenarios of a structured population affect quantities, such as various types of effective sizes and genetic differentiation between subpopulations.
