학술논문

Clone size distributions in networks of genetic similarity
Document Type
Working Paper
Source
Physica D, 214, 166-173 (2006)
Subject
Quantitative Biology - Populations and Evolution
Condensed Matter - Statistical Mechanics
Quantitative Biology - Quantitative Methods
Language
Abstract
We build networks of genetic similarity in which the nodes are organisms sampled from biological populations. The procedure is illustrated by constructing networks from genetic data of a marine clonal plant. An important feature in the networks is the presence of clone subgraphs, i.e. sets of organisms with identical genotype forming clones. As a first step to understand the dynamics that has shaped these networks, we point up a relationship between a particular degree distribution and the clone size distribution in the populations. We construct a dynamical model for the population dynamics, focussing on the dynamics of the clones, and solve it for the required distributions. Scale free and exponentially decaying forms are obtained depending on parameter values, the first type being obtained when clonal growth is the dominant process. Average distributions are dominated by the power law behavior presented by the fastest replicating populations.
Comment: 17 pages, 4 figures. One figure improved and other minor changes. To appear in Physica D