Racimo Fernando, Kuhlwilm Martin, Slatkin Montgomery
Department of Integrative Biology, University of California, Berkeley Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Mol Biol Evol. 2014 Dec;31(12):3344-58. doi: 10.1093/molbev/msu255. Epub 2014 Aug 28.
We introduce a new method to detect ancient selective sweeps centered on a candidate site. We explored different patterns produced by sweeps around a fixed beneficial mutation, and found that a particularly informative statistic measures the consistency between majority haplotypes near the mutation and genotypic data from a closely related population. We incorporated this statistic into an approximate Bayesian computation (ABC) method that tests for sweeps at a candidate site. We applied this method to simulated data and show that it has some power to detect sweeps that occurred more than 10,000 generations in the past. We also applied it to 1,000 Genomes and Complete Genomics data combined with high-coverage Denisovan and Neanderthal genomes to test for sweeps in modern humans since the separation from the Neanderthal-Denisovan ancestor. We tested sites at which humans are fixed for the derived (i.e., nonchimpanzee allele) whereas the Neanderthal and Denisovan genomes are homozygous for the ancestral allele. We observe only weak differences in statistics indicative of selection between functional categories. When we compare patterns of scaled diversity or use our ABC approach, we fail to find a significant difference in signals of classic selective sweeps between regions surrounding nonsynonymous and synonymous changes, but we detect a slight enrichment for reduced scaled diversity around splice site changes. We also present a list of candidate sites that show high probability of having undergone a classic sweep in the modern human lineage since the split from Neanderthals and Denisovans.
我们引入了一种新方法来检测以候选位点为中心的古代选择性清除。我们探究了围绕一个固定的有益突变产生的不同扫描模式,发现一个特别有信息量的统计量可以衡量突变附近的多数单倍型与来自密切相关群体的基因型数据之间的一致性。我们将这个统计量纳入一种近似贝叶斯计算(ABC)方法中,用于检测候选位点处的选择性清除。我们将此方法应用于模拟数据,并表明它有能力检测发生在一万多代以前的选择性清除。我们还将其应用于千人基因组计划和完整基因组学数据,并结合高覆盖度的丹尼索瓦人和尼安德特人基因组,以测试自与尼安德特 - 丹尼索瓦人祖先分离以来现代人类中的选择性清除情况。我们测试了人类固定为衍生型(即非黑猩猩等位基因)而尼安德特人和丹尼索瓦人基因组为祖先等位基因纯合的位点。我们在指示选择的统计量中仅观察到功能类别之间的微弱差异。当我们比较尺度化多样性模式或使用我们的ABC方法时,我们未能在非同义变化和同义变化周围区域的经典选择性清除信号中发现显著差异,但我们检测到剪接位点变化周围尺度化多样性降低有轻微富集。我们还列出了一系列候选位点,这些位点自与尼安德特人和丹尼索瓦人分离以来,在现代人类谱系中经历经典选择性清除的可能性很高。