Quantifying population structure using the F-model

Oscar E. Gaggiotti*, Matthieu Foll

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

72 Citations (Scopus)

Abstract

We review a model-based approach to estimate local population F(ST)'s that is based on the multinomial-Dirichlet distribution, the so-called F-model. As opposed to the standard method of estimating a single F(ST) value, this approach takes into account the fact that in most if not all realistic situations, local populations differ in their effective sizes and migration rates. Therefore, the use of this approach can help better describe the genetic structure of populations. Despite this obvious advantage, this method has remained largely underutilized by molecular ecologists. Thus, the objective of this review is to foster its use for studying the genetic structure of metapopulations. We present the derivation of the Bayesian formulation for the estimation of population-specific F(ST)'s based on the multinomial-Dirichlet distribution. We describe several recent applications of the F-model and present the results of a small simulation study that explains how the F-model can help better describe the genetic structure of populations.

Original languageEnglish
Pages (from-to)821-830
Number of pages10
JournalMolecular Ecology Resources
Volume10
Issue number5
DOIs
Publication statusPublished - Sept 2010

Keywords

  • ENVIRONMENTAL-FACTORS
  • multinomial-Dirichlet
  • INFERENCE
  • BAYESIAN PERSPECTIVE
  • COALESCENT
  • STATISTICS
  • Bayesian statistics
  • metapopulation
  • genetic structure
  • DIFFERENTIATION
  • MULTILOCUS GENOTYPE DATA
  • MIGRATION
  • F-statistics
  • GENETIC-STRUCTURE
  • LOCI

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