Lercher Martin J, Smith Nick G C, Eyre-Walker Adam, Hurst Laurence D
Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, United Kingdom.
Genetics. 2002 Dec;162(4):1805-10. doi: 10.1093/genetics/162.4.1805.
The large-scale systematic variation in nucleotide composition along mammalian and avian genomes has been a focus of the debate between neutralist and selectionist views of molecular evolution. Here we test whether the compositional variation is due to mutation bias using two new tests, which do not assume compositional equilibrium. In the first test we assume a standard population genetics model, but in the second we make no assumptions about the underlying population genetics. We apply the tests to single-nucleotide polymorphism data from noncoding regions of the human genome. Both models of neutral mutation bias fit the frequency distributions of SNPs segregating in low- and medium-GC-content regions of the genome adequately, although both suggest compositional nonequilibrium. However, neither model fits the frequency distribution of SNPs from the high-GC-content regions. In contrast, a simple population genetics model that incorporates selection or biased gene conversion cannot be rejected. The results suggest that mutation biases are not solely responsible for the compositional biases found in noncoding regions.
沿着哺乳动物和鸟类基因组核苷酸组成的大规模系统变异一直是分子进化的中性论和选择论观点之间争论的焦点。在这里,我们使用两种新的测试方法来检验这种组成变异是否是由于突变偏好引起的,这两种测试方法并不假定组成平衡。在第一个测试中,我们假设一个标准的群体遗传学模型,但在第二个测试中,我们不对潜在的群体遗传学做任何假设。我们将这些测试应用于人类基因组非编码区域的单核苷酸多态性数据。尽管两种模型都表明存在组成不平衡,但中性突变偏好的两种模型都能充分拟合基因组中低GC含量和中等GC含量区域中分离的单核苷酸多态性的频率分布。然而,没有一个模型能拟合高GC含量区域的单核苷酸多态性频率分布。相比之下,一个包含选择或偏向基因转换的简单群体遗传学模型不能被排除。结果表明,突变偏好并非非编码区域中发现的组成偏好的唯一原因。