Unbiased Estimate of Synonymous and Nonsynonymous Substitution Rates with Nonstationary Base Composition - Laboratoire de biométrie et biologie évolutive Accéder directement au contenu
Article Dans Une Revue Molecular Biology and Evolution Année : 2018

Unbiased Estimate of Synonymous and Nonsynonymous Substitution Rates with Nonstationary Base Composition

Résumé

The measurement of synonymous and nonsynonymous substitution rates (dS and dN) is useful for assessing selection operating on protein sequences or for investigating mutational processes affecting genomes. In particular, the ratio dN/dS is expected to be a good proxy for ω, the ratio of fixation probabilities of nonsynonymous mutations relative to that of neutral mutations. Standard methods for estimating dN, dS, or ω rely on the assumption that the base composition of sequences is at the equilibrium of the evolutionary process. In many clades, this assumption of stationarity is in fact incorrect, and we show here through simulations and analyses of empirical data that nonstationarity biases the estimate of dN, dS, and ω. We show that the bias in the estimate of ω can be fixed by explicitly taking into consideration nonstationarity in the modeling of codon evolution, in a maximum likelihood framework. Moreover, we propose an exact method for estimating dN and dS on branches, based on stochastic mapping, that can take into account nonstationarity. This method can be directly applied to any kind of codon evolution model, as long as neutrality is clearly parameterized.
Fichier principal
Vignette du fichier
msx308.pdf (657.49 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-02349724 , version 1 (07-05-2024)

Identifiants

Citer

Laurent Guéguen, Laurent Duret. Unbiased Estimate of Synonymous and Nonsynonymous Substitution Rates with Nonstationary Base Composition. Molecular Biology and Evolution, 2018, 35 (3), pp.734-742. ⟨10.1093/molbev/msx308⟩. ⟨hal-02349724⟩
28 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More