Kelkar Yogeshwar D, Tyekucheva Svitlana, Chiaromonte Francesca, Makova Kateryna D
Department of Biology, Penn State University, University Park, Pennsylvania 16802, USA.
Genome Res. 2008 Jan;18(1):30-8. doi: 10.1101/gr.7113408. Epub 2007 Nov 21.
Mutation rates of microsatellites vary greatly among loci. The causes of this heterogeneity remain largely enigmatic yet are crucial for understanding numerous human neurological diseases and genetic instability in cancer. In this first genome-wide study, the relative contributions of intrinsic features and regional genomic factors to the variation in mutability among orthologous human-chimpanzee microsatellites are investigated with resampling and regression techniques. As a result, we uncover the intricacies of microsatellite mutagenesis as follows. First, intrinsic features (repeat number, length, and motif size), which all influence the probability and rate of slippage, are the strongest predictors of mutability. Second, mutability increases nonuniformly with length, suggesting that processes additional to slippage, such as faulty repair, contribute to mutations. Third, mutability varies among microsatellites with different motif composition likely due to dissimilarities in secondary DNA structure formed by their slippage intermediates. Fourth, mutability of mononucleotide microsatellites is impacted by their location on sex chromosomes vs. autosomes and inside vs. outside of Alu repeats, the former confirming the importance of replication and the latter suggesting a role for gene conversion. Fifth, transcription status and location in a particular isochore do not influence microsatellite mutability. Sixth, compared with intrinsic features, regional genomic factors have only minor effects. Finally, our regression models explain approximately 90% of variation in microsatellite mutability and can generate useful predictions for the studies of human diseases, forensics, and conservation genetics.
微卫星的突变率在不同位点之间差异很大。这种异质性的原因在很大程度上仍然是个谜,但对于理解众多人类神经疾病和癌症中的基因不稳定至关重要。在这项首次全基因组研究中,利用重采样和回归技术研究了内在特征和区域基因组因素对直系同源人类-黑猩猩微卫星之间突变性变异的相对贡献。结果,我们揭示了微卫星诱变的复杂性如下。首先,内在特征(重复次数、长度和基序大小)都影响滑动的概率和速率,是突变性的最强预测因子。其次,突变性随长度非均匀增加,这表明除滑动之外的过程,如错误修复,也会导致突变。第三,具有不同基序组成的微卫星之间的突变性不同,这可能是由于它们的滑动中间体形成的二级DNA结构不同。第四,单核苷酸微卫星的突变性受其在性染色体与常染色体上的位置以及在Alu重复序列内部与外部的位置影响,前者证实了复制的重要性,后者表明基因转换起了作用。第五,转录状态和在特定等臂染色体中的位置不影响微卫星的突变性。第六,与内在特征相比,区域基因组因素的影响较小。最后,我们的回归模型解释了微卫星突变性变异的约90%,并可为人类疾病、法医学和保护遗传学研究产生有用的预测。