ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

A finite population model of mlecular evolution: theory and computation

Dixit, Narendra M and Srivastava, Piyush and Vishnoi, Nisheeth K (2012) A finite population model of mlecular evolution: theory and computation. In: Journal of Computational Biology, 19 (10). pp. 1176-1202.

[img] PDF
jl_com_bio_19-10_dix_2012.pdf - Published Version
Restricted to Registered users only

Download (394kB) | Request a copy
Official URL: http://dx.doi.org/10.1089/cmb.2012.0064

Abstract

This article is concerned with the evolution of haploid organisms that reproduce asexually. In a seminal piece of work, Eigen and coauthors proposed the quasispecies model in an attempt to understand such an evolutionary process. Their work has impacted antiviral treatment and vaccine design strategies. Yet, predictions of the quasispecies model are at best viewed as a guideline, primarily because it assumes an infinite population size, whereas realistic population sizes can be quite small. In this paper we consider a population genetics-based model aimed at understanding the evolution of such organisms with finite population sizes and present a rigorous study of the convergence and computational issues that arise therein. Our first result is structural and shows that, at any time during the evolution, as the population size tends to infinity, the distribution of genomes predicted by our model converges to that predicted by the quasispecies model. This justifies the continued use of the quasispecies model to derive guidelines for intervention. While the stationary state in the quasispecies model is readily obtained, due to the explosion of the state space in our model, exact computations are prohibitive. Our second set of results are computational in nature and address this issue. We derive conditions on the parameters of evolution under which our stochastic model mixes rapidly. Further, for a class of widely used fitness landscapes we give a fast deterministic algorithm which computes the stationary distribution of our model. These computational tools are expected to serve as a framework for the modeling of strategies for the deployment of mutagenic drugs.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to Mary Ann Liebert.
Keywords: Molecular Evolution; Quasispecies Theory
Department/Centre: Division of Mechanical Sciences > Chemical Engineering
Depositing User: Id for Latest eprints
Date Deposited: 25 Feb 2013 05:03
Last Modified: 25 Feb 2013 05:03
URI: http://eprints.iisc.ac.in/id/eprint/45390

Actions (login required)

View Item View Item