Literature DB >> 11102705

Microsatellite mutations in the germline: implications for evolutionary inference.

H Ellegren1.   

Abstract

Microsatellite DNA sequences mutate at rates several orders of magnitude higher than that of the bulk of DNA. Such high rates mean that spontaneous mutations that form new-length variants can realistically be seen in pedigree analysis. Data on observed mutation events from various organisms are now accumulating, allowing inferences on DNA sequence evolution to be made through an unusually direct approach. Here I discuss and integrate microsatellite mutation data in an evolutionary context. A striking feature of the mutation process is that it seems highly heterogeneous, with distinct differences between species, repeat types, loci and alleles. Age and sex also affect the mutation rate. Within genomes at equilibrium, the microsatellite-length distribution is a delicate balance between biased mutation processes and point mutations acting towards the decay of repetitive DNA. Indeed, simple repeats do not evolve simply.

Mesh:

Year:  2000        PMID: 11102705     DOI: 10.1016/s0168-9525(00)02139-9

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  166 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.  A 122.5-kilobase deletion of the P gene underlies the high prevalence of oculocutaneous albinism type 2 in the Navajo population.

Authors:  Zanhua Yi; Nanibaa' Garrison; Orit Cohen-Barak; Tatiana M Karafet; Richard A King; Robert P Erickson; Michael F Hammer; Murray H Brilliant
Journal:  Am J Hum Genet       Date:  2002-12-05       Impact factor: 11.025

3.  Two distinct modes of microsatellite mutation processes: evidence from the complete genomic sequences of nine species.

Authors:  Daniel Dieringer; Christian Schlötterer
Journal:  Genome Res       Date:  2003-10       Impact factor: 9.043

4.  Likelihood-based estimation of microsatellite mutation rates.

Authors:  John C Whittaker; Roger M Harbord; Nicola Boxall; Ian Mackay; Gary Dawson; Richard M Sibly
Journal:  Genetics       Date:  2003-06       Impact factor: 4.562

5.  Molecular cloning and characteristics of allele variants (GATA)n, the microsatellite locus Du281 of parthenogenetic caucasian rock lizard (Darevskia unisexualis) genome.

Authors:  V I Korchagin; N A Churikov; O N Tokarskaya; G A Sevast'yanova; Yu B Filippovich; A P Ryskov
Journal:  Dokl Biochem Biophys       Date:  2004 Jan-Feb       Impact factor: 0.788

6.  Allele excess at neutrally evolving microsatellites and the implications for tests of neutrality.

Authors:  Christian Schlötterer; Max Kauer; Daniel Dieringer
Journal:  Proc Biol Sci       Date:  2004-04-22       Impact factor: 5.349

7.  High MHC diversity maintained by balancing selection in an otherwise genetically monomorphic mammal.

Authors:  Andres Aguilar; Gary Roemer; Sally Debenham; Matthew Binns; David Garcelon; Robert K Wayne
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-27       Impact factor: 11.205

8.  Cross-amplification and sequence variation of microsatellite loci in Eurasian hard pines.

Authors:  S C González-Martínez; J J Robledo-Arnuncio; C Collada; A Díaz; C G Williams; R Alía; M T Cervera
Journal:  Theor Appl Genet       Date:  2004-02-20       Impact factor: 5.699

9.  Estimation of long-term effective population sizes through the history of durum wheat using microsatellite data.

Authors:  A-C Thuillet; T Bataillon; S Poirier; S Santoni; J L David
Journal:  Genetics       Date:  2004-11-15       Impact factor: 4.562

10.  Mutation biases and mutation rate variation around very short human microsatellites revealed by human-chimpanzee-orangutan genomic sequence alignments.

Authors:  William Amos
Journal:  J Mol Evol       Date:  2010-08-11       Impact factor: 2.395

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