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TWO MEASURES OF EFFECTIVE POPULATION SIZE FOR GRAPHS

TWO MEASURES OF EFFECTIVE POPULATION SIZE FOR GRAPHS Effective population size is a key parameter in population ecology because it allows prediction of the dynamics of genetic variation and the rate of genetic drift and inbreeding. It is important for the definition of “nearly neutral” mutations and, hence, has consequences for the fixation or extinction probabilities of advantageous and deleterious mutations. As graph‐based population models become increasingly popular for studying evolution in spatially or socially structured populations, a neutral theory for evolution on graphs is called for. Here, we derive formulae for two alternative measures of effective population size, the variance effective and inbreeding effective size of general unweighted and undirected graphs. We show how these two quantities relate to each other and we derive effective sizes for the complete graph the cycle and bipartite graphs. For one‐dimensional lattices and small‐world graphs, we estimate the inbreeding effective size using simulations. The presented method is suitable for any structured population of haploid individuals with overlapping generations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Evolution Wiley

TWO MEASURES OF EFFECTIVE POPULATION SIZE FOR GRAPHS

Evolution , Volume 66 (5) – May 1, 2012

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References (52)

Publisher
Wiley
Copyright
© 2012 The Author(s). Evolution © 2012 The Society for the Study of Evolution.
ISSN
0014-3820
eISSN
1558-5646
DOI
10.1111/j.1558-5646.2011.01528.x
pmid
22519794
Publisher site
See Article on Publisher Site

Abstract

Effective population size is a key parameter in population ecology because it allows prediction of the dynamics of genetic variation and the rate of genetic drift and inbreeding. It is important for the definition of “nearly neutral” mutations and, hence, has consequences for the fixation or extinction probabilities of advantageous and deleterious mutations. As graph‐based population models become increasingly popular for studying evolution in spatially or socially structured populations, a neutral theory for evolution on graphs is called for. Here, we derive formulae for two alternative measures of effective population size, the variance effective and inbreeding effective size of general unweighted and undirected graphs. We show how these two quantities relate to each other and we derive effective sizes for the complete graph the cycle and bipartite graphs. For one‐dimensional lattices and small‐world graphs, we estimate the inbreeding effective size using simulations. The presented method is suitable for any structured population of haploid individuals with overlapping generations.

Journal

EvolutionWiley

Published: May 1, 2012

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