Literature DB >> 9287425

Biased mutations and microsatellite variation.

L A Zhivotovsky1, M W Feldman, S A Grishechkin.   

Abstract

Mutation bias is one of the forces that may constrain the variation at microsatellite loci. Here, we study the dynamics of population statistics and the genetic distance between two populations under multiple stepwise mutations with linear bias and random drift. Expressions are derived for these statistics as functions of time, as well as at mutation-drift equilibrium. Applying these expressions to published data on humans and chimpanzees, the regression coefficient of mutation bias on allele size was estimated to be at least between -0.0064 and -0.013. The assumption of mutational bias produces larger estimates of divergence times than are obtained in its absence; in particular, the time of split between African and non-African human populations is estimated to be between 183,000 and 222,000 years, assuming one-step mutations and no selection. With multistep mutations, the divergence time is estimated to be lower.

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Year:  1997        PMID: 9287425     DOI: 10.1093/oxfordjournals.molbev.a025835

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  19 in total

1.  Mutation patterns at dinucleotide microsatellite loci in humans.

Authors:  Qing-Yang Huang; Fu-Hua Xu; Hui Shen; Hong-Yi Deng; Yong-Jun Liu; Yao-Zhong Liu; Jin-Long Li; Robert R Recker; Hong-Wen Deng
Journal:  Am J Hum Genet       Date:  2002-01-15       Impact factor: 11.025

2.  Microsatellite allele sizes: a simple test to assess their significance on genetic differentiation.

Authors:  Olivier J Hardy; Nathalie Charbonnel; Hélène Fréville; Myriam Heuertz
Journal:  Genetics       Date:  2003-04       Impact factor: 4.562

3.  Bayesian analysis of an admixture model with mutations and arbitrarily linked markers.

Authors:  Laurent Excoffier; Arnaud Estoup; Jean-Marie Cornuet
Journal:  Genetics       Date:  2005-01-16       Impact factor: 4.562

Review 4.  Mutational dynamics of microsatellites.

Authors:  Atul Bhargava; F F Fuentes
Journal:  Mol Biotechnol       Date:  2010-03       Impact factor: 2.695

5.  Negative covariance suggests mutation bias in a two-locus microsatellite system in the fish Sparus aurata.

Authors:  E T Dermitzakis; A G Clark; C Batargias; A Magoulas; E Zouros
Journal:  Genetics       Date:  1998-12       Impact factor: 4.562

6.  Evidence for complex mutations at microsatellite loci in Drosophila.

Authors:  I Colson; D B Goldstein
Journal:  Genetics       Date:  1999-06       Impact factor: 4.562

7.  Challenges to assessing connectivity between massive populations of the Australian plague locust.

Authors:  Marie-Pierre Chapuis; Julie-Anne M Popple; Karine Berthier; Stephen J Simpson; Edward Deveson; Peter Spurgin; Martin J Steinbauer; Gregory A Sword
Journal:  Proc Biol Sci       Date:  2011-03-09       Impact factor: 5.349

8.  Dynamics of microsatellite divergence under stepwise mutation and proportional slippage/point mutation models.

Authors:  P P Calabrese; R T Durrett; C F Aquadro
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

9.  Tightly linked di- and tri-nucleotide microsatellites do not evolve in complete independence: evidence from linked (TA)n and (TAA)n microsatellites of chickpea (Cicer arietinum L.).

Authors:  S M Udupa; R S Malhotra; M Baum
Journal:  Theor Appl Genet       Date:  2003-10-16       Impact factor: 5.699

10.  Microsatellite mutation models: insights from a comparison of humans and chimpanzees.

Authors:  Raazesh Sainudiin; Richard T Durrett; Charles F Aquadro; Rasmus Nielsen
Journal:  Genetics       Date:  2004-09       Impact factor: 4.562

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