Literature DB >> 12644566

The structure of interrupted human AC microsatellites.

Richard M Sibly1, Andrew Meade, Nicola Boxall, Michael J Wilkinson, Dave W Corne, John C Whittaker.   

Abstract

Microsatellite lengths change over evolutionary time through a process of replication slippage. A recently proposed model of this process holds that the expansionary tendencies of slippage mutation are balanced by point mutations breaking longer microsatellites into smaller units and that this process gives rise to the observed frequency distributions of uninterrupted microsatellite lengths. We refer to this as the slippage/point-mutation theory. Here we derive the theory's predictions for interrupted microsatellites comprising regions of perfect repeats, labeled segments, separated by dinucleotide interruptions containing point mutations. These predictions are tested by reference to the frequency distributions of segments of AC microsatellite in the human genome, and several predictions are shown not to be supported by the data, as follows. The estimated slippage rates are relatively low for the first four repeats, and then rise initially linearly with length, in accordance with previous work. However, contrary to expectation and the experimental evidence, the inferred slippage rates decline in segments above 10 repeats. Point mutation rates are also found to be higher within microsatellites than elsewhere. The theory provides an excellent fit to the frequency distribution of peripheral segment lengths but fails to explain why internal segments are shorter. Furthermore, there are fewer microsatellites with many segments than predicted. The frequencies of interrupted microsatellites decline geometrically with microsatellite size measured in number of segments, so that for each additional segment, the number of microsatellites is 33.6% less. Overall we conclude that the detailed structure of interrupted microsatellites cannot be reconciled with the existing slippage/point-mutation theory of microsatellite evolution, and we suggest that microsatellites are stabilized by processes acting on interior rather than on peripheral segments.

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Year:  2003        PMID: 12644566     DOI: 10.1093/molbev/msg056

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


  9 in total

1.  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

2.  On the structural differences between markers and genomic AC microsatellites.

Authors:  Fabio Pardi; Richard M Sibly; M J Wilkinson; John C Whittaker
Journal:  J Mol Evol       Date:  2005-05       Impact factor: 2.395

3.  Evolution of hypervariable microsatellites in apomictic polyploid lineages of Ranunculus carpaticola: directional bias at dinucleotide loci.

Authors:  Ovidiu Paun; Elvira Hörandl
Journal:  Genetics       Date:  2006-06-18       Impact factor: 4.562

4.  A matter of life or death: how microsatellites emerge in and vanish from the human genome.

Authors:  Yogeshwar D Kelkar; Kristin A Eckert; Francesca Chiaromonte; Kateryna D Makova
Journal:  Genome Res       Date:  2011-10-12       Impact factor: 9.043

5.  Evolution of chloroplast mononucleotide microsatellites in Arabidopsis thaliana.

Authors:  Mattias Jakobsson; Torbjörn Säll; Christina Lind-Halldén; Christer Halldén
Journal:  Theor Appl Genet       Date:  2006-11-23       Impact factor: 5.699

6.  Development of microsatellite markers and analysis of intraspecific genetic variability in chickpea (Cicer arietinum L.).

Authors:  Niroj Kumar Sethy; Bhumika Shokeen; Keith J Edwards; Sabhyata Bhatia
Journal:  Theor Appl Genet       Date:  2006-03-14       Impact factor: 5.699

7.  Genome-wide analysis of microsatellite polymorphism in chicken circumventing the ascertainment bias.

Authors:  Mikael Brandström; Hans Ellegren
Journal:  Genome Res       Date:  2008-03-20       Impact factor: 9.043

8.  Worldwide F(ST) estimates relative to five continental-scale populations.

Authors:  Christopher D Steele; Denise Syndercombe Court; David J Balding
Journal:  Ann Hum Genet       Date:  2014-11       Impact factor: 1.670

9.  Characterization of Duck (Anas platyrhynchos) Short Tandem Repeat Variation by Population-Scale Genome Resequencing.

Authors:  Wenlei Fan; Lingyang Xu; Hong Cheng; Ming Li; Hehe Liu; Yong Jiang; Yuming Guo; Zhengkui Zhou; Shuisheng Hou
Journal:  Front Genet       Date:  2018-10-30       Impact factor: 4.599

  9 in total

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