Literature DB >> 20952258

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

Sophie Lèbre1, Christian J Michel.   

Abstract

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.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20952258     DOI: 10.1016/j.compbiolchem.2010.09.001

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  1 in total

1.  Split-inducing indels in phylogenomic analysis.

Authors:  Alexander Donath; Peter F Stadler
Journal:  Algorithms Mol Biol       Date:  2018-07-16       Impact factor: 1.405

  1 in total

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