Statistical properties of population differentiation estimators under stepwise mutation in a finite island model.

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serval:BIB_E1CAC8C9DA6B
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Statistical properties of population differentiation estimators under stepwise mutation in a finite island model.
Journal
Molecular Ecology
Author(s)
Balloux F., Goudet J.
ISSN
0962-1083[print], 0962-1083[linking]
Publication state
Published
Issued date
2002
Volume
11
Number
4
Pages
771-783
Language
english
Abstract
Microsatellite loci mutate at an extremely high rate and are generally thought to evolve through a stepwise mutation model. Several differentiation statistics taking into account the particular mutation scheme of the microsatellite have been proposed. The most commonly used is R(ST) which is independent of the mutation rate under a generalized stepwise mutation model. F(ST) and R(ST) are commonly reported in the literature, but often differ widely. Here we compare their statistical performances using individual-based simulations of a finite island model. The simulations were run under different levels of gene flow, mutation rates, population number and sizes. In addition to the per locus statistical properties, we compare two ways of combining R(ST) over loci. Our simulations show that even under a strict stepwise mutation model, no statistic is best overall. All estimators suffer to different extents from large bias and variance. While R(ST) better reflects population differentiation in populations characterized by very low gene-exchange, F(ST) gives better estimates in cases of high levels of gene flow. The number of loci sampled (12, 24, or 96) has only a minor effect on the relative performance of the estimators under study. For all estimators there is a striking effect of the number of samples, with the differentiation estimates showing very odd distributions for two samples.
Keywords
Computer Simulation, Genetics, Population, Microsatellite Repeats/genetics, Models, Genetic, Mutation, Population Dynamics, Statistics as Topic
Pubmed
Web of science
Open Access
Yes
Create date
24/01/2008 18:10
Last modification date
20/08/2019 17:05
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