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A stochastic evolution model for residue Insertion-Deletion Independent from Substitution

机译:独立于取代的残基插入-缺失的随机演化模型

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We develop here a new class of stochastic models of gene evolution based on residue Insertion-Deletion Independent from Substitution (IDIS). Indeed, in contrast to all existing evolution models, insertions and deletions are modeled here by a concept in population dynamics. Therefore, they are not only independent from each other, but also independent from the substitution process. After a separate stochastic analysis of the substitution and the insertion-deletion processes, we obtain a matrix differential equation combining these two processes defining the IDIS model. By deriving a general solution, we give an analytical expression of the residue occurrence probability at evolution time t as a function of a substitution rate matrix, an insertion rate vector, a deletion rate and an initial residue probability vector. Various mathematical properties of the IDIS model in relation with time t are derived: time scale, time step, time inversion and sequence length. Particular expressions of the nucleotide occurrence probability at time t are given for classical substitution rate matrices in various biological contexts: equal insertion rate, insertion-deletion only and substitution only. All these expressions can be directly used for biological evolutionary applications. The IDIS model shows a strongly different stochastic behavior from the classical substitution only model when compared on a gene dataset. Indeed, by considering three processes of residue insertion, deletion and substitution independently from each other, it allows a more realistic representation of gene evolution and opens new directions and applications in this research field.
机译:我们在这里基于残基插入-独立于取代的插入-缺失(IDIS)开发了一类新的基因进化随机模型。实际上,与所有现有的进化模型相反,这里的插入和缺失是通过种群动态的概念来建模的。因此,它们不仅彼此独立,而且独立于取代过程。在对替换和插入-删除过程进行单独的随机分析之后,我们获得了结合这两个定义IDIS模型的过程的矩阵微分方程。通过推导一般解,我们给出了演化时间t处残基出现概率的解析表达式,它是取代率矩阵,插入率矢量,删除率和初始残基概率矢量的函数。得出与时间t相关的IDIS模型的各种数学属性:时间标度,时间步长,时间反演和序列长度。给出了在各种生物学情况下经典置换率矩阵在时间t处核苷酸发生概率的具体表达式:相等插入率,仅插入缺失和仅置换。所有这些表达都可以直接用于生物学进化应用。当在基因数据集上进行比较时,IDIS模型显示的随机行为与仅经典替代模型有很大不同。实际上,通过彼此独立地考虑残基插入,缺失和取代的三个过程,它可以更真实地表示基因进化,并为该研究领域开辟了新的方向和应用。

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