Modelling evolution in a spatial continuum

Barton, Nicholas H and Etheridge, Alison M and Véber, Amandine (2013) Modelling evolution in a spatial continuum. Journal of Statistical Mechanics: Theory and Experiment, 2013 (1). P01002 . ISSN 1572-9613

[img] Text
BEVrevised.pdf - Accepted Version
Available under License All rights reserved.
[IST-2016-557-v1+1]
Download (686Kb)
Official URL: http://iopscience.iop.org/article/10.1088/1742-546...

Abstract

We survey a class of models for spatially structured populations which we have called spatial Λ-Fleming–Viot processes. They arise from a flexible framework for modelling in which the key innovation is that random genetic drift is driven by a Poisson point process of spatial 'events'. We demonstrate how this overcomes some of the obstructions to modelling populations which evolve in two- (and higher-) dimensional spatial continua, how its predictions match phenomena observed in data and how it fits with classical models. Finally we outline some directions for future research.

Item Type: Article
DOI: 10.1088/1742-5468/2013/01/P01002
Additional Information: “This is an author - created, un - copyedited version of an article accepted for publication in Journal of Statistical Mechanics: Theory and Experiment. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/1742-5468/2013/01/P01002.
Uncontrolled Keywords: Population genetics coalescent, models for evolution (theory), mutational and evolutionary processes (theory), population dynamics (theory), sequence analysis (theory)
Subjects: 500 Science > 570 Life sciences; biology
Research Group: Barton Group
SWORD Depositor: Sword Import User
Depositing User: Nicholas Barton
Date Deposited: 11 May 2016 11:11
Last Modified: 05 Sep 2017 14:12
URI: https://repository.ist.ac.at/id/eprint/557

Actions (login required)

View Item View Item