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重组对检测正向自然选择的位点特异性方法的潜在影响。

Potential impact of recombination on sitewise approaches for detecting positive natural selection.

作者信息

Shriner Daniel, Nickle David C, Jensen Mark A, Mullins James I

机构信息

Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98195-8070, USA.

出版信息

Genet Res. 2003 Apr;81(2):115-21. doi: 10.1017/s0016672303006128.

Abstract

Current sitewise methods for detecting positive selection on gene sequences (the de facto standard being the CODEML method (Yang et al., 2000)) assume no recombination. This paper presents simulation results indicating that violation of this assumption can lead to false positive detection of sites undergoing positive selection. Through the use of population-scaled mutation and recombination rates, simulations can be performed that permit the generation of appropriate null distributions corresponding to neutral expectations in the presence of recombination, thereby allowing for a more accurate estimation of positive selection.

摘要

当前用于检测基因序列正选择的位点特异性方法(事实上的标准是CODEML方法(Yang等人,2000年))假定不存在重组。本文给出的模拟结果表明,违反这一假设可能导致对正选择位点的误报。通过使用群体尺度的突变和重组率,可以进行模拟,从而生成与存在重组时的中性预期相对应的合适零分布,进而更准确地估计正选择。

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