Changing selection on amino acid substitutions in Gag protein between major HIV-1 subtypes

Author:

Klink Galya V12ORCID,Kalinina Olga V345,Bazykin Georgii A1ORCID

Affiliation:

1. Laboratory of Molecular Evolution, Institute for Information Transmission Problems (Kharkevich Institute) of the Russian Academy of Sciences , Bolshoy Karetny per. 19, build.1, Moscow 127051, Russia

2. Center for Molecular and Cellular Biology, Skolkovo Institute of Science and Technology , Bolshoy Boulevard, 30, p.1, Skolkovo 121205, Russia

3. Drug Bioinformatics, Helmholtz Institute for Pharmaceutical Research Saarland (HIPS)/Helmholtz Centre for Infection Research (HZI) , Campus E8.1, Saarbrücken 66123, Germany

4. Center for Bioinformatics, Saarland University , Campus E2.1, Saarbrücken 66123, Germany

5. Medical Faculty, Saarland University , Kirrberger Str. 100, Homburg 66421, Germany

Abstract

Abstract Amino acid preferences at a protein site depend on the role of this site in protein function and structure as well as on external constraints. All these factors can change in the course of evolution, making amino acid propensities of a site time-dependent. When viral subtypes divergently evolve in different host subpopulations, such changes may depend on genetic, medical, and sociocultural differences between these subpopulations. Here, using our previously developed phylogenetic approach, we describe sixty-nine amino acid sites of the Gag protein of human immunodeficiency virus type 1 (HIV-1) where amino acids have different impact on viral fitness in six major subtypes of the type M. These changes in preferences trigger adaptive evolution; indeed, 32 (46 per cent) of these sites experienced strong positive selection at least in one of the subtypes. At some of the sites, changes in amino acid preferences may be associated with differences in immune escape between subtypes. The prevalence of an amino acid in a protein site within a subtype is only a poor predictor for whether this amino acid is preferred in this subtype according to the phylogenetic analysis. Therefore, attempts to identify the factors of viral evolution from comparative genomics data should integrate across multiple sources of information.

Funder

Russian Science Foundation

Publisher

Oxford University Press (OUP)

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