Clone size distributions in networks of genetic similarity

E. Hernández-García; A. F. Rozenfeld; V. M. Eguíluz; S. Arnaud-Haond; C. M. Duarte

doi:10.1016/j.physd.2006.09.015

Clone size distributions in networks of genetic similarity

E. Hernández-García^*, A. F. Rozenfeld, V. M. Eguíluz, S. Arnaud-Haond, C. M. Duarte

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

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 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.

Original language	English (US)
Pages (from-to)	166-173
Number of pages	8
Journal	Physica D: Nonlinear Phenomena
Volume	224
Issue number	1-2
DOIs	https://doi.org/10.1016/j.physd.2006.09.015
State	Published - Dec 2006
Externally published	Yes

Bibliographical note

Funding Information:
This research was funded by a project of the BBVA Foundation (Spain), by project NETWORK (POCI/MAR/57342/2004) of the Portuguese Science Foundation (FCT) and by the project CONOCE2 (FIS2004-00953) of the Spanish MEC. S.A.H. was supported by a postdoctoral fellowship from FCT and the European Social Fund and A.F.R. by a post-doctoral fellowship from the Spanish Ministry of Education and Science.

Keywords

Clonal growth
Genetic similarity network
Population dynamics
Seagrass
Size distribution

ASJC Scopus subject areas

Statistical and Nonlinear Physics
Mathematical Physics
Condensed Matter Physics
Applied Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.physd.2006.09.015

Cite this

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title = "Clone size distributions in networks of genetic similarity",

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 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.",

keywords = "Clonal growth, Genetic similarity network, Population dynamics, Seagrass, Size distribution",

author = "E. Hern{\'a}ndez-Garc{\'i}a and Rozenfeld, {A. F.} and Egu{\'i}luz, {V. M.} and S. Arnaud-Haond and Duarte, {C. M.}",

note = "Funding Information: This research was funded by a project of the BBVA Foundation (Spain), by project NETWORK (POCI/MAR/57342/2004) of the Portuguese Science Foundation (FCT) and by the project CONOCE2 (FIS2004-00953) of the Spanish MEC. S.A.H. was supported by a postdoctoral fellowship from FCT and the European Social Fund and A.F.R. by a post-doctoral fellowship from the Spanish Ministry of Education and Science.",

year = "2006",

month = dec,

doi = "10.1016/j.physd.2006.09.015",

language = "English (US)",

volume = "224",

pages = "166--173",

journal = "Physica D: Nonlinear Phenomena",

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AU - Hernández-García, E.

AU - Rozenfeld, A. F.

AU - Eguíluz, V. M.

AU - Arnaud-Haond, S.

AU - Duarte, C. M.

N1 - Funding Information: This research was funded by a project of the BBVA Foundation (Spain), by project NETWORK (POCI/MAR/57342/2004) of the Portuguese Science Foundation (FCT) and by the project CONOCE2 (FIS2004-00953) of the Spanish MEC. S.A.H. was supported by a postdoctoral fellowship from FCT and the European Social Fund and A.F.R. by a post-doctoral fellowship from the Spanish Ministry of Education and Science.

PY - 2006/12

Y1 - 2006/12

N2 - 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.

AB - 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.

KW - Clonal growth

KW - Genetic similarity network

KW - Population dynamics

KW - Seagrass

KW - Size distribution

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M3 - Article

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JF - Physica D: Nonlinear Phenomena

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ER -

Clone size distributions in networks of genetic similarity

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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