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静态突变-选择景观上的平衡转移:正选择的一种新情景。

Shifting Balance on a Static Mutation-Selection Landscape: A Novel Scenario of Positive Selection.

机构信息

Department of Mathematics and Statistics, Dalhousie University, Halifax, Nova Scotia.

Department of Biology, Dalhousie University, Halifax, Nova Scotia.

出版信息

Mol Biol Evol. 2017 Feb 1;34(2):391-407. doi: 10.1093/molbev/msw237.

Abstract

A version of the mechanistic mutation-selection (MutSel) model that accounts for temporal dynamics at a site is presented. This is used to show that the rate ratio dN/dS at a site can be transiently >1 even when fitness coefficients are fixed or the fitness landscape is static. This occurs whenever a site drifts away from its fitness peak and is then forced back by selection, a process reminiscent of shifting balance. Shifting balance is strongest when the substitution process is not dominated by selection or drift, but admits interplay between the two. Under this condition, site-specific changes in dN/dS were inferred in 78-100% of trials, and positive selection (i.e., dN/dS>1) in 10-40% of trials, when sequence alignments generated under MutSel were fitted to two popular phenomenological branch-site models. These results demonstrate that positive selection can occur without a change in fitness regime, and that this is detectable by branch-site models. In addition, MutSel is used to show that a site can be occupied by a sub-optimal amino acid for long periods on a fixed landscape when selection is stringent. This has implications for the interpretation of constant-but-different site patterns typically attributed to changes in fitness. Furthermore, a version of MutSel with episodic changes in fitness coefficients is used to illustrate systematic differences between parameters used to generate data under MutSel and their counterparts estimated by a simple codon model. Motivated by a discrepancy in the literature, interpretation of dN/dS in the context of MutSel is also discussed.

摘要

提出了一种能够解释位点时变动态的机制突变选择(MutSel)模型的变体。该模型用于证明,即使适应度系数固定或适应度景观静态,位点的 dN/dS 速率比也可以暂时大于 1。当一个位点从其适应度峰值漂移并随后被选择力强制返回时,就会发生这种情况,这一过程让人想起了转移平衡。当替代过程不受选择或漂移主导,但允许两者相互作用时,转移平衡最强。在这种条件下,当将 MutSel 下生成的序列比对拟合到两个流行的分支位点模型时,在 78-100%的试验中推断出了 dN/dS 的位点特异性变化,在 10-40%的试验中推断出了正选择(即 dN/dS>1)。这些结果表明,即使适应度机制没有改变,正选择也可能发生,并且分支位点模型可以检测到这种情况。此外,MutSel 还用于表明,在严格选择的情况下,一个位点可以在固定景观上长期被一个次优的氨基酸占据。这对于解释通常归因于适应度变化的恒定但不同的位点模式具有重要意义。此外,使用具有适应度系数阶段性变化的 MutSel 版本来说明在 MutSel 下生成数据所使用的参数与简单密码子模型估计的对应参数之间的系统差异。受文献中差异的启发,还讨论了在 MutSel 背景下对 dN/dS 的解释。

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