Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network

  Advanced Search  

Physica D 224 (2006) 166173 www.elsevier.com/locate/physd

Summary: Physica D 224 (2006) 166­173
Clone size distributions in networks of genetic similarity
E. HernŽandez-GarcŽiaa,, A.F. Rozenfelda, V.M. EguŽiluza, S. Arnaud-Haondb, C.M. Duartea
a Instituto MediterrŽaneo de Estudios Avanzados (IMEDEA), CSIC - Universitat de les Illes Balears, E-07122 Palma de Mallorca, Spain
b CCMAR, CIMAR-LaboratŽorio Associado, Universidade do Algarve, Gambelas, 8005-139, Faro, Portugal
Available online 27 October 2006
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 understanding 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.
c 2006 Elsevier B.V. All rights reserved.
Keywords: Clonal growth; Genetic similarity network; Population dynamics; Size distribution; Seagrass
1. Introduction
Biological systems have always been quoted as archetypes
of complexity. Modern network approaches [1­5] have


Source: Alberto, Filipe - Centro de Ciencias do Mar, Universidade do Algarve


Collections: Environmental Sciences and Ecology; Biology and Medicine