Literature DB >> 18356314

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

Mikael Brandström1, Hans Ellegren.   

Abstract

Studies of microsatellites evolution based on marker data almost inherently suffer from an ascertainment bias because there is selection for the most mutable and polymorphic loci during marker development. To circumvent this bias we took advantage of whole-genome shotgun sequence data from three unrelated chicken individuals that, when aligned to the genome reference sequence, give sequence information on two chromosomes from about one-fourth (375,000) of all microsatellite loci containing di- through pentanucleotide repeat motifs in the chicken genome. Polymorphism is seen at loci with as few as five repeat units, and the proportion of dimorphic loci then increases to 50% for sequences with approximately 10 repeat units, to reach a maximum of 75%-80% for sequences with 15 or more repeat units. For any given repeat length, polymorphism increases with decreasing GC content of repeat motifs for dinucleotides, nonhairpin-forming trinucleotides, and tetranucleotides. For trinucleotide repeats which are likely to form hairpin structures, polymorphism increases with increasing GC content, indicating that the relative stability of hairpins affects the rate of replication slippage. For any given repeat length, polymorphism is significantly lower for imperfect compared to perfect repeats and repeat interruptions occur in >15% of loci. However, interruptions are not randomly distributed within repeat arrays but are preferentially located toward the ends. There is negative correlation between microsatellite abundance and single nucleotide polymorphism (SNP) density, providing large-scale genomic support for the hypothesis that equilibrium microsatellite distributions are governed by a balance between rate of replication slippage and rate of point mutation.

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Year:  2008        PMID: 18356314      PMCID: PMC2413155          DOI: 10.1101/gr.075242.107

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  46 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.  Microsatellites are preferentially associated with nonrepetitive DNA in plant genomes.

Authors:  Michele Morgante; Michael Hanafey; Wayne Powell
Journal:  Nat Genet       Date:  2002-01-22       Impact factor: 38.330

3.  A relationship between lengths of microsatellites and nearby substitution rates in mammalian genomes.

Authors:  M F Santibáñez-Koref; R Gangeswaran; J M Hancock
Journal:  Mol Biol Evol       Date:  2001-11       Impact factor: 16.240

4.  A DNA sequence evolution analysis generalized by simulation and the markov chain monte carlo method implicates strand slippage in a majority of insertions and deletions.

Authors:  Manami Nishizawa; Kazuhisa Nishizawa
Journal:  J Mol Evol       Date:  2002-12       Impact factor: 2.395

5.  The structure of interrupted human AC microsatellites.

Authors:  Richard M Sibly; Andrew Meade; Nicola Boxall; Michael J Wilkinson; Dave W Corne; John C Whittaker
Journal:  Mol Biol Evol       Date:  2003-03       Impact factor: 16.240

6.  Stabilizing effects of interruptions on trinucleotide repeat expansions in Saccharomyces cerevisiae.

Authors:  M L Rolfsmeier; R S Lahue
Journal:  Mol Cell Biol       Date:  2000-01       Impact factor: 4.272

7.  Distribution and abundance of microsatellites in the yeast genome can Be explained by a balance between slippage events and point mutations.

Authors:  S Kruglyak; R Durrett; M D Schug; C F Aquadro
Journal:  Mol Biol Evol       Date:  2000-08       Impact factor: 16.240

8.  Microsatellites in different eukaryotic genomes: survey and analysis.

Authors:  G Tóth; Z Gáspári; J Jurka
Journal:  Genome Res       Date:  2000-07       Impact factor: 9.043

9.  Microsatellite evolution inferred from human-chimpanzee genomic sequence alignments.

Authors:  Matthew T Webster; Nick G C Smith; Hans Ellegren
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-17       Impact factor: 11.205

Review 10.  Trinucleotide repeat instability: a hairpin curve at the crossroads of replication, recombination, and repair.

Authors:  B A Lenzmeier; C H Freudenreich
Journal:  Cytogenet Genome Res       Date:  2003       Impact factor: 1.636

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  39 in total

1.  Evolution of Nine Microsatellite Loci in the Fungus Fusarium oxysporum.

Authors:  Jill E Demers; María del Mar Jiménez-Gasco
Journal:  J Mol Evol       Date:  2015-12-10       Impact factor: 2.395

Review 2.  Mutational dynamics of microsatellites.

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

3.  A genomic portrait of human microsatellite variation.

Authors:  Bret A Payseur; Peicheng Jing; Ryan J Haasl
Journal:  Mol Biol Evol       Date:  2010-07-30       Impact factor: 16.240

4.  Microsatellites as targets of natural selection.

Authors:  Ryan J Haasl; Bret A Payseur
Journal:  Mol Biol Evol       Date:  2012-10-27       Impact factor: 16.240

5.  Simple sequence repeat variation in the Daphnia pulex genome.

Authors:  Way Sung; Abraham Tucker; R Daniel Bergeron; Michael Lynch; W Kelley Thomas
Journal:  BMC Genomics       Date:  2010-12-03       Impact factor: 3.969

6.  What is a microsatellite: a computational and experimental definition based upon repeat mutational behavior at A/T and GT/AC repeats.

Authors:  Yogeshwar D Kelkar; Noelle Strubczewski; Suzanne E Hile; Francesca Chiaromonte; Kristin A Eckert; Kateryna D Makova
Journal:  Genome Biol Evol       Date:  2010-07-28       Impact factor: 3.416

7.  Identification of selective sweeps in closely related populations of the house mouse based on microsatellite scans.

Authors:  Meike Teschke; Odette Mukabayire; Thomas Wiehe; Diethard Tautz
Journal:  Genetics       Date:  2008-09-14       Impact factor: 4.562

8.  Genome-wide analysis of conservation and divergence of microsatellites in rice.

Authors:  Manish Roorkiwal; Atul Grover; Prakash C Sharma
Journal:  Mol Genet Genomics       Date:  2009-05-30       Impact factor: 3.291

9.  Estimating genome-wide heterozygosity: effects of demographic history and marker type.

Authors:  J M Miller; R M Malenfant; P David; C S Davis; J Poissant; J T Hogg; M Festa-Bianchet; D W Coltman
Journal:  Heredity (Edinb)       Date:  2013-10-23       Impact factor: 3.821

10.  Sequence determinants of human microsatellite variability.

Authors:  Trevor J Pemberton; Conner I Sandefur; Mattias Jakobsson; Noah A Rosenberg
Journal:  BMC Genomics       Date:  2009-12-16       Impact factor: 3.969

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