Literature DB >> 18616569

Effect of mutation on genetic differentiation among nonequilibrium populations.

Nils Ryman1, Olof Leimar.   

Abstract

The usefulness of GST and similar measures of genetic differentiation has been questioned repeatedly because of their dependence on the amount of heterozygosity within populations, creating problems when comparing degrees of divergence at loci with different mutation rates. Although the effect of mutation on GST is expected to be small in the early phases of divergence, it is unclear for how long after separation from a common ancestral population that GST is largely unaffected by mutation and by the resulting effect on heterozygosity. We address this question through analysis of the recursion equations for gene identity under the infinite allele model of mutation, and derive conditions describing when the effect of mutation on GST can be ignored under mutation-migration-drift equilibrium conditions and during the preceding transition phase. An important result is that during the transition phase GST is not only affected by mutation, but also by the heterozygosity in the base population from which the subpopulations diverged. The effect of mutation on GST is significant from the very start of the divergence process when initial heterozygosity is low, whereas GST is only weakly affected by mutation in the early phases of differentiation when initial heterozygosity is high. Thus, differentiation following a severe bottleneck is strongly dependent on mutation. The standardized measure of differentiation, G'ST, suggested by Hedrick (2005), may be helpful when comparing amounts of divergence at loci with different mutation rates under steady-state conditions, provided that migration is very low. In many other situations the use of G'ST might be misleading, however, and its application should be exercised with caution.

Mesh:

Year:  2008        PMID: 18616569     DOI: 10.1111/j.1558-5646.2008.00453.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  9 in total

1.  Quasi equilibrium, variance effective size and fixation index for populations with substructure.

Authors:  Ola Hössjer; Nils Ryman
Journal:  J Math Biol       Date:  2013-10-15       Impact factor: 2.259

2.  Upper bounds on FST in terms of the frequency of the most frequent allele and total homozygosity: the case of a specified number of alleles.

Authors:  Michael D Edge; Noah A Rosenberg
Journal:  Theor Popul Biol       Date:  2014-08-14       Impact factor: 1.570

3.  On the eigenvalue effective size of structured populations.

Authors:  Ola Hössjer
Journal:  J Math Biol       Date:  2014-09-18       Impact factor: 2.259

4.  A genomewide comparison of population structure at STRPs and nearby SNPs in humans.

Authors:  Bret A Payseur; Peicheng Jing
Journal:  Mol Biol Evol       Date:  2009-03-16       Impact factor: 16.240

5.  Inferring genetic connectivity in real populations, exemplified by coastal and oceanic Atlantic cod.

Authors:  Ingrid Spies; Lorenz Hauser; Per Erik Jorde; Halvor Knutsen; André E Punt; Lauren A Rogers; Nils Chr Stenseth
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-19       Impact factor: 11.205

6.  Genomic dynamics of brown trout populations released to a novel environment.

Authors:  Sara Kurland; Nima Rafati; Nils Ryman; Linda Laikre
Journal:  Ecol Evol       Date:  2022-07-03       Impact factor: 3.167

7.  The relationship between F(ST) and the frequency of the most frequent allele.

Authors:  Mattias Jakobsson; Michael D Edge; Noah A Rosenberg
Journal:  Genetics       Date:  2012-11-19       Impact factor: 4.562

8.  Samples from subdivided populations yield biased estimates of effective size that overestimate the rate of loss of genetic variation.

Authors:  Nils Ryman; Fred W Allendorf; Per Erik Jorde; Linda Laikre; Ola Hössjer
Journal:  Mol Ecol Resour       Date:  2013-09-06       Impact factor: 7.090

9.  Sex-specific genetic analysis indicates low correlation between demographic and genetic connectivity in the Scandinavian brown bear (Ursus arctos).

Authors:  Julia Schregel; Alexander Kopatz; Hans Geir Eiken; Jon E Swenson; Snorre B Hagen
Journal:  PLoS One       Date:  2017-07-03       Impact factor: 3.240

  9 in total

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