dorsal/arxiv
View SchemaClone size distributions in networks of genetic similarity
| Authors | E. Hernandez-Garcia, A. F. Rozenfeld, V. M. Eguiluz, S. Arnaud-Haond, C. M. Duarte |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0608018 |
| URL | https://arxiv.org/abs/q-bio/0608018 |
| DOI | 10.1016/j.physd.2006.09.015 |
| Journal | Physica D, 214, 166-173 (2006) |
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.
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"abstract": "We build networks of genetic similarity in which the nodes are organisms\nsampled from biological populations. The procedure is illustrated by\nconstructing networks from genetic data of a marine clonal plant. An important\nfeature in the networks is the presence of clone subgraphs, i.e. sets of\norganisms with identical genotype forming clones. As a first step to understand\nthe dynamics that has shaped these networks, we point up a relationship between\na particular degree distribution and the clone size distribution in the\npopulations. We construct a dynamical model for the population dynamics,\nfocussing on the dynamics of the clones, and solve it for the required\ndistributions. Scale free and exponentially decaying forms are obtained\ndepending on parameter values, the first type being obtained when clonal growth\nis the dominant process. Average distributions are dominated by the power law\nbehavior presented by the fastest replicating populations.",
"arxiv_id": "q-bio/0608018",
"authors": [
"E. Hernandez-Garcia",
"A. F. Rozenfeld",
"V. M. Eguiluz",
"S. Arnaud-Haond",
"C. M. Duarte"
],
"categories": [
"q-bio.PE",
"cond-mat.stat-mech",
"q-bio.QM"
],
"doi": "10.1016/j.physd.2006.09.015",
"journal_ref": "Physica D, 214, 166-173 (2006)",
"title": "Clone size distributions in networks of genetic similarity",
"url": "https://arxiv.org/abs/q-bio/0608018"
},
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