rtREV: an amino acid substitution matrix for inference of retrovirus and reverse transcriptase phylogeny

Retroviral and other reverse transcriptase (RT)-containing sequences may be subject to unique evolutionary pressures, and models of molecular sequence evolution developed using other kinds of sequences may not be optimal. Here we develop and present a new substitution matrix for maximum likelihood (...

Full description

Saved in:
Bibliographic Details
Published inJournal of molecular evolution Vol. 55; no. 1; pp. 65 - 73
Main Authors Dimmic, Matthew W, Rest, Joshua S, Mindell, David P, Goldstein, Richard A
Format Journal Article
LanguageEnglish
Published Germany Springer Nature B.V 01.07.2002
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Retroviral and other reverse transcriptase (RT)-containing sequences may be subject to unique evolutionary pressures, and models of molecular sequence evolution developed using other kinds of sequences may not be optimal. Here we develop and present a new substitution matrix for maximum likelihood (ML) phylogenetic analysis which has been optimized on a dataset of 33 amino acid sequences from the retroviral Pol proteins. When compared to other matrices, this model (rtREV) yields higher log-likelihood values on a range of datasets including lentiviruses, spumaviruses, betaretroviruses, gammaretroviruses, and other elements containing reverse transcriptase. We provide evidence that rtREV is a more realistic evolutionary model for analyses of the pol gene, although it is inapplicable to analyses involving the gag gene.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
ISSN:0022-2844
1432-1432
DOI:10.1007/s00239-001-2304-y