A Bayesian Mutation–Selection Framework for Detecting Site-Specific Adaptive Evolution in Protein-Coding Genes - Archive ouverte HAL Access content directly
Journal Articles Molecular Biology and Evolution Year : 2021

A Bayesian Mutation–Selection Framework for Detecting Site-Specific Adaptive Evolution in Protein-Coding Genes

Nicolas Rodrigue
  • Function : Author
  • PersonId : 1117660
Thibault Latrille

Abstract

In recent years, codon substitution models based on the mutation–selection principle have been extended for the purpose of detecting signatures of adaptive evolution in protein-coding genes. However, the approaches used to date have either focused on detecting global signals of adaptive regimes—across the entire gene—or on contexts where experimentally derived, site-specific amino acid fitness profiles are available. Here, we present a Bayesian site-heterogeneous mutation–selection framework for site-specific detection of adaptive substitution regimes given a protein-coding DNA alignment. We offer implementations, briefly present simulation results, and apply the approach on a few real data sets. Our analyses suggest that the new approach shows greater sensitivity than traditional methods. However, more study is required to assess the impact of potential model violations on the method, and gain a greater empirical sense its behavior on a broader range of real data sets. We propose an outline of such a research program.
Fichier principal
Vignette du fichier
msaa265-2.pdf (388.58 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03441670 , version 1 (22-11-2021)

Identifiers

Cite

Nicolas Rodrigue, Thibault Latrille, Nicolas Lartillot. A Bayesian Mutation–Selection Framework for Detecting Site-Specific Adaptive Evolution in Protein-Coding Genes. Molecular Biology and Evolution, 2021, 38 (3), pp.1199-1208. ⟨10.1093/molbev/msaa265⟩. ⟨hal-03441670⟩
41 View
32 Download

Altmetric

Share

Gmail Facebook X LinkedIn More