Estimating the fitness cost of escape from HLA presentation in HIV-1 protease and reverse transcriptase.
Author(s)
Type
Journal Article
Abstract
Human immunodeficiency virus (HIV-1) is, like most pathogens, under selective pressure to escape the immune system of its host. In particular, HIV-1 can avoid recognition by cytotoxic T lymphocytes (CTLs) by altering the binding affinity of viral peptides to human leukocyte antigen (HLA) molecules, the role of which is to present those peptides to the immune system. It is generally assumed that HLA escape mutations carry a replicative fitness cost, but these costs have not been quantified. In this study, we assess the replicative cost of mutations which are likely to escape presentation by HLA molecules in the region of HIV-1 protease and reverse transcriptase. Specifically, we combine computational approaches for prediction of in vitro replicative fitness and peptide binding affinity to HLA molecules. We find that mutations which impair binding to HLA-A molecules tend to have lower in vitro replicative fitness than mutations which do not impair binding to HLA-A molecules, suggesting that HLA-A escape mutations carry higher fitness costs than non-escape mutations. We argue that the association between fitness and HLA-A binding impairment is probably due to an intrinsic cost of escape from HLA-A molecules, and these costs are particularly strong for HLA-A alleles associated with efficient virus control. Counter-intuitively, we do not observe a significant effect in the case of HLA-B, but, as discussed, this does not argue against the relevance of HLA-B in virus control. Overall, this article points to the intriguing possibility that HLA-A molecules preferentially target more conserved regions of HIV-1, emphasizing the importance of HLA-A genes in the evolution of HIV-1 and RNA viruses in general.
Date Issued
2012-05-24
Date Acceptance
2012-04-03
Start Page
e1002525
Journal / Book Title
PLoS Comput Biol
Volume
8
Issue
5
Copyright Statement
2012 Mostowy et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/22654656
PCOMPBIOL-D-11-01649
Subjects
Adaptation, Physiological
Computer Simulation
Genetic Fitness
HIV Protease
HIV Reverse Transcriptase
HIV-1
HLA Antigens
Models, Genetic
Mutation
Virus Replication
06 Biological Sciences
08 Information And Computing Sciences
01 Mathematical Sciences
Bioinformatics
Publication Status
Published
Coverage Spatial
United States