Evolutionary and ecological trees and networks

Emilio Hernández-García*, E. Alejandro Herrada, Alejandro F. Rozenfeld, Claudio J. Tessone, Víctor M. Eguíluz, Carlos Duarte, Sophie Arnaud-Haond, Ester Serrão

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Evolutionary relationships between species are usually represented in phylogenies, i.e. evolutionary trees, which are a type of networks. The terminal nodes of these trees represent species, which are made of individuals and populations among which gene flow occurs. This flow can also be represented as a network. In this paper we briefly show some properties of these complex networks of evolutionary and ecological relationships. First, we characterize large scale evolutionary relationships in the Tree of Life by a degree distribution. Second, we represent genetic relationships between individuals of a Mediterranean marine plant, Posidonia oceanica, in terms of a Minimum Spanning Tree. Finally, relationships among plant shoots inside populations are represented as networks of genetic similarity.

Original languageEnglish (US)
Title of host publicationNONEQUILIBRIUM STATISTICAL MECHANICS AND NONLINEAR PHYSICS
Subtitle of host publicationXV Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics
Pages78-83
Number of pages6
DOIs
StatePublished - Sep 24 2007
Event15th Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics - Mar del Plata, Argentina
Duration: Dec 4 2006Dec 8 2006

Publication series

NameAIP Conference Proceedings
Volume913
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

Other15th Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics
CountryArgentina
CityMar del Plata
Period12/4/0612/8/06

Keywords

  • Complex networks
  • Genetic similarity
  • Phylogenies
  • Population structure
  • Posidonia oceanica
  • Tree of life

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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