Section of Evolutionary Biology, Department of Biology, Ludwig-Maximilians University Munich, Munich, Germany.
Mol Ecol Resour. 2010 Sep;10(5):863-72. doi: 10.1111/j.1755-0998.2010.02869.x. Epub 2010 May 17.
New statistical tests have been developed in the past decade that enable us to infer evidence of recent strong positive selection from genome-wide data on single-nucleotide polymorphism and to localize the targets of selection in the genome. Based on these tests, past demographic events that led to distortions of the site-frequency spectrum of variation can be distinguished from selection, in particular if linkage disequilibrium is taken into account. These methods have been successfully applied to species from which complete sequence information and polymorphism data are available, including Drosophila melanogaster, humans, and several plant species. To make full use of the available data, however, the tests that were primarily designed for panmictic populations need to be extended to spatially structured populations.
在过去的十年中,已经开发出了新的统计检验方法,使我们能够从单核苷酸多态性的全基因组数据中推断出最近强烈正向选择的证据,并在基因组中定位选择的靶标。基于这些检验,如果考虑到连锁不平衡,过去导致变异的位点频率谱扭曲的人口统计学事件就可以与选择区分开来。这些方法已经成功应用于具有完整序列信息和多态性数据的物种,包括黑腹果蝇、人类和几种植物。然而,为了充分利用现有数据,需要将主要为混合群体设计的检验方法扩展到具有空间结构的群体。