Zivković Daniel, Wiehe Thomas
Institut für Genetik, Universität zu Köln, 50674 Köln, Germany.
Genetics. 2008 Sep;180(1):341-57. doi: 10.1534/genetics.108.091231. Epub 2008 Aug 20.
The identification of genomic regions that have been exposed to positive selection is a major challenge in population genetics. Since selective sweeps are expected to occur during environmental changes or when populations are colonizing a new habitat, statistical tests constructed on the assumption of constant population size are biased by the co-occurrence of population size changes and selection. To delimit this problem and gain better insights into demographic factors, theoretical results regarding the second-order moments of segregating sites, such as the variance of segregating sites, have been derived. Driven by emerging genomewide surveys, which allow the estimation of demographic parameters, a generalized version of Tajima's D has been derived that takes into account a previously estimated demographic scenario to test single loci for traces of selection against the null hypothesis of neutral evolution under variable population size.
识别经历过正选择的基因组区域是群体遗传学中的一项重大挑战。由于预计在环境变化期间或种群殖民新栖息地时会发生选择性清除,基于恒定种群大小假设构建的统计检验会因种群大小变化和选择的同时出现而产生偏差。为了界定这个问题并更好地洞察人口统计学因素,已经得出了关于分离位点二阶矩的理论结果,例如分离位点的方差。在新兴的全基因组调查的推动下,这些调查能够估计人口统计学参数,已经推导出了Tajima's D的广义版本,该版本考虑了先前估计的人口统计学情景,以在可变种群大小下针对中性进化的零假设测试单个基因座是否存在选择痕迹。