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MBE Advance Access originally published online on August 28, 2009
Molecular Biology and Evolution 2009 26(12):2809-2819; doi:10.1093/molbev/msp192
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© The Author 2009. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

Research Articles

Global Microsatellite Content Distinguishes Humans, Primates, Animals, and Plants

C.L. Galindo*, L.J. McIver*, J.F. McCormick*, M.A. Skinner{dagger},§, Y. Xie{ddagger}, R.A. Gelhausen*, K. Ng*, N.M. Kumar* and H.R. Garner*

* McDermott Center for Human Growth and Development of the University of Texas Southwestern Medical Center,1
{dagger} Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
§ Children's Medical Center of Dallas, Dallas, TX
{ddagger} Harold C. Simmons Comprehensive Cancer Center of the University of Texas Southwestern Medical Center, Dallas, TX

E-mail: Cristi.galindo{at}utsouthwestern.edu.

Accepted for publication August 22, 2009.

Microsatellites are highly mutable, repetitive sequences commonly used as genetic markers, but they have never been studied en masse. Using a custom microarray to measure hybridization intensities of every possible repetitive nucleotide motif from 1-mers to 6-mers, we examined 25 genomes. Here, we show that global microsatellite content varies predictably by species, as measured by array hybridization signal intensities, correlating with established taxonomic relationships, and particular motifs are characteristic of one species versus another. For instance, hominid-specific microsatellite motifs were identified despite alignment of the human reference, Celera, and Venter genomic sequences indicating substantial variation (30–50%) among individuals. Differential microsatellite motifs were mainly associated with genes involved in developmental processes, whereas those found in intergenic regions exhibited no discernible pattern. This is the first description of a method for evaluating microsatellite content to classify individual genomes.

Key Words: microsatellites • microarray • taxonomy • evolution • speciation

1 http://innovation.swmed/edu.

Naruya Saitou, Associate Editor


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