Kruglyak S, Durrett R, Schug M D, Aquadro C F
Department of Mathematics, University of Southern California, CA, USA.
Mol Biol Evol. 2000 Aug;17(8):1210-9. doi: 10.1093/oxfordjournals.molbev.a026404.
We fit a Markov chain model of microsatellite evolution introduced by Kruglyak et al. to data on all di-, tri-, and tetranucleotide repeats in the yeast genome. Our results suggest that many features of the distribution of abundance and length of microsatellites can be explained by this simple model, which incorporates a competition between slippage events and base pair substitutions, with no need to invoke selection or constraints on the lengths. Our results provide some new information on slippage rates for individual repeat motifs, which suggest that AT-rich trinucleotide repeats have higher slippage rates. As our model predicts, we found that many repeats were adjacent to shorter repeats of the same motif. However, we also found a significant tendency of microsatellites of different motifs to cluster.
我们将Kruglyak等人提出的微卫星进化马尔可夫链模型应用于酵母基因组中所有二核苷酸、三核苷酸和四核苷酸重复序列的数据。我们的结果表明，微卫星丰度和长度分布的许多特征可以用这个简单的模型来解释，该模型纳入了滑动事件和碱基对替换之间的竞争，无需引入对长度的选择或限制。我们的结果提供了关于单个重复基序滑动率的一些新信息，这表明富含AT的三核苷酸重复序列具有更高的滑动率。正如我们的模型所预测的，我们发现许多重复序列与相同基序的较短重复序列相邻。然而，我们也发现不同基序的微卫星有显著的聚类趋势。
