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首页> 外文期刊>Journal of Molecular Evolution >Using Non-Reversible Context-Dependent Evolutionary Models to Study Substitution Patterns in Primate Non-Coding Sequences
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Using Non-Reversible Context-Dependent Evolutionary Models to Study Substitution Patterns in Primate Non-Coding Sequences

机译:使用不可逆的上下文相关进化模型研究灵长类非编码序列中的取代模式

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摘要

We discuss the importance of non-reversible evolutionary models when analyzing context-dependence. Given the inherent non-reversible nature of the well-known CpG-methylation-deamination process in mammalian evolution, non-reversible context-dependent evolutionary models may be well able to accurately model such a process. In particular, the lack of constraints on non-reversible substitution models might allow for more accurate estimation of context-dependent substitution parameters. To demonstrate this, we have developed different time-homogeneous context-dependent evolutionary models to analyze a large genomic dataset of primate ancestral repeats based on existing independent evolutionary models. We have calculated the difference in model fit for each of these models using Bayes Factors obtained via thermodynamic integration. We find that non-reversible context-dependent models can drastically increase model fit when compared to independent models and this on two primate non-coding datasets. Further, we show that further improvements are possible by clustering similar parameters across contexts.
机译:我们在分析上下文相关性时讨论了不可逆进化模型的重要性。考虑到哺乳动物进化过程中众所周知的CpG-甲基化-脱氨过程固有的不可逆性,不可逆的依赖于上下文的进化模型可能能够准确地对这一过程进行建模。特别地,对不可逆替换模型的约束的缺乏可能允许对上下文相关的替换参数进行更准确的估计。为了证明这一点,我们开发了不同的时间均一的上下文相关的进化模型,以基于现有的独立进化模型来分析大型的灵长类祖先重复的基因组数据集。我们已经使用通过热力学积分获得的贝叶斯因子计算了每个模型的模型拟合差异。我们发现,与独立模型相比,在两个灵长类非编码数据集上,不可逆上下文相关模型可以大大提高模型拟合度。此外,我们表明,通过在上下文中聚集相似的参数,可以实现进一步的改进。

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