Department of Medicine, Division of Hematology, Oncology, David Geffen School of Medicine, University of California, Los Angeles, USA.
Mol Biol Evol. 2010 Oct;27(10):2300-11. doi: 10.1093/molbev/msq116. Epub 2010 May 7.
Recently, researchers have begun to recognize that, in order to establish neutral models for disease association and evolutionary genomics studies, it is crucial to have a clear understanding of the genomic impact of nonallelic gene conversion. Drawing on previous successes in characterizing this phenomenon over protein-coding gene families, we undertook a computational analysis of neighboring Alu sequences in the genome scale. For this purpose, we developed adjusted comutation rate (aCMR), a novel statistical method measuring the excess number of identical point mutations shared by adjacent Alu sequences, vis-à-vis random pairs. Using aCMR, we uncovered a remarkable genome-wide sequence homogenization of neighboring Alus, with the strongest signal observed in the pseudoautosomal regions of the X and Y chromosomes. The magnitude of sequence homogenization between Alu pairs is greater with shorter interlocus distance, higher sequence identity, and parallel orientation. Moreover, shared substitutions show a strong directionality toward GC nucleotides, with multiple substitutions tending to cluster within the Alu sequence. Taken together, these observed recombination-associated sequence homogenization patterns are best explained by frequent ubiquitous gene conversion events between neighboring Alus. We believe that these observations help to illuminate the nature and impact of the enigmatic phenomenon of gene conversion.
最近,研究人员开始认识到,为了为疾病关联和进化基因组学研究建立中立模型,清楚了解非等位基因转换对基因组的影响至关重要。借鉴在蛋白质编码基因家族中对该现象进行特征描述的先前成功经验,我们在基因组规模上对 Alu 序列的邻近序列进行了计算分析。为此,我们开发了调整后的计算率(aCMR),这是一种新的统计方法,用于测量相邻 Alu 序列相对于随机对共享的相同点突变的多余数量。使用 aCMR,我们发现邻近 Alus 在全基因组范围内存在显著的序列同质化,在 X 和 Y 染色体的假常染色体区域观察到最强的信号。Alu 对之间的序列同质化程度随两个基因座之间的距离缩短、序列同一性增加和平行取向而增加。此外,共享的替代物朝着 GC 核苷酸呈现强烈的方向性,多个替代物往往在 Alu 序列内聚集。总之,这些观察到的与重组相关的序列同质化模式最好通过邻近 Alu 之间频繁的普遍基因转换事件来解释。我们相信,这些观察结果有助于阐明基因转换这一神秘现象的本质和影响。