Sawyer S
Department of Mathematics, Washington University, and Department of Genetics, Washington University Medical School.
Mol Biol Evol. 1989 Sep;6(5):526-38. doi: 10.1093/oxfordjournals.molbev.a040567.
Statistical tests for detecting gene conversion are described for a sample of homologous DNA sequences. The tests are based on imbalances in the distribution of segments on which some pair of sequences agrees. The methods automatically control for variable mutation rates along the genome and do not depend on a priori choices of potentially monophyletic subsets of the sample. The tests show strong evidence for multiple intragenic conversion events at two loci in Escherichia coli. The gnd locus in E. coli shows a highly significant excess of maximal segments of length 70-200 bp, which suggests conversion events of that size. The data also indicate that the rate of these short conversion events might be of the order of neutral mutation rate. There is also evidence for correlated mutation in adjacent codon positions. The same tests applied to a locus in an RNA virus were negative.
针对同源DNA序列样本，描述了用于检测基因转换的统计测试。这些测试基于某些序列对达成一致的片段分布不均衡情况。该方法能自动控制基因组中可变的突变率，且不依赖于样本中潜在单系子集的先验选择。测试显示出大肠杆菌两个位点存在多个基因内转换事件的有力证据。大肠杆菌中的gnd位点显示出长度为70 - 200 bp的最大片段显著过量，这表明存在该大小的转换事件。数据还表明这些短转换事件的速率可能与中性突变率相当。同时也有证据表明相邻密码子位置存在相关突变。对一种RNA病毒的一个位点应用相同测试，结果为阴性。
