McDermott Center for Human Growth and Development of the University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Mol Biol Evol. 2009 Dec;26(12):2809-19. doi: 10.1093/molbev/msp192. Epub 2009 Aug 28.
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.
微卫星是高度易变的重复序列,通常用作遗传标记,但它们从未被大规模研究过。使用定制的微阵列来测量从 1 到 6 个核苷酸的每一种可能重复核苷酸基序的杂交强度,我们检查了 25 个基因组。在这里,我们表明,正如通过阵列杂交信号强度所测量的那样,全球微卫星含量可根据物种进行预测,这与已建立的分类学关系相关联,并且特定的基序是一个物种与另一个物种的特征。例如,尽管人类参考序列、Celera 和 Venter 基因组序列的比对表明个体之间存在大量变异(30-50%),但仍鉴定出了人类特异性微卫星基序。差异微卫星基序主要与参与发育过程的基因相关,而在基因间区域发现的微卫星基序则没有明显的模式。这是第一种描述用于评估微卫星含量以分类个体基因组的方法。