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Genetic flow directionality and geographical segregation in a Cymodocea nodosa genetic diversity network

Authors
  • Masucci, A Paolo1
  • Arnaud-Haond, Sophie2
  • Eguíluz, Víctor M3
  • Hernández-García, Emilio3
  • Serrão, Ester A4
  • 1 University College of London, Centre for Advanced Spatial Analysis, London, UK , London (United Kingdom)
  • 2 Institut Français de Recherche pour l’Exploitation de la MER, Département Étude des Ecosystèmes Profonds-DEEP, Laboratoire Environnement Profond-LEP, Centre de Brest, France , Centre de Brest (France)
  • 3 Consejo Superior de Investigaciones Científicas - Universitat de les Illes Balears, IFISC (CSIC-UIB), Instituto de Física Interdisciplinar y Sistemas Complejos, Palma de Mallorca, Spain , Palma de Mallorca (Spain)
  • 4 Universidade do Algarve, CCMAR, CIMAR-Laboratório Associado, Gambelas, Faro, 8005-139, Portugal , Gambelas (Portugal)
Type
Published Article
Journal
EPJ Data Science
Publisher
Springer Berlin Heidelberg
Publication Date
Nov 28, 2012
Volume
1
Issue
1
Identifiers
DOI: 10.1140/epjds11
Source
Springer Nature
Keywords
License
Yellow

Abstract

We analyse a large data set of genetic markers obtained from populations of Cymodocea nodosa, a marine plant occurring from the East Mediterranean to the Iberian-African coasts in the Atlantic Ocean. We fully develop and test a recently introduced methodology to infer the directionality of gene flow based on the concept of geographical segregation. Using the Jensen-Shannon divergence, we are able to extract a directed network of gene flow describing the evolutionary patterns of Cymodocea nodosa. In particular we recover the genetic segregation that the marine plant underwent during its evolution. The results are confirmed by natural evidence and are consistent with an independent cross analysis.

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