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Evolutionary Analysis of HIV-1 Pol Proteins Reveals Representative Residues for Viral Subtype Differentiation.

ABSTRACT: RNA viruses have been used as model systems to understand the patterns and processes of molecular evolution because they have high mutation rates and are genetically diverse. Human immunodeficiency virus 1 (HIV-1), the etiological agent of acquired immune deficiency syndrome, is highly genetically diverse, and is classified into several groups and subtypes. However, it has been difficult to use its diverse sequences to establish the overall phylogenetic relationships of different strains or the trends in sequence conservation with the construction of phylogenetic trees. Our aims were to systematically characterize HIV-1 subtype evolution and to identify the regions responsible for HIV-1 subtype differentiation at the amino acid level in the Pol protein, which is often used to classify the HIV-1 subtypes. In this study, we systematically characterized the mutation sites in 2,052 Pol proteins from HIV-1 group M (144 subtype A; 1,528 subtype B; 380 subtype C), using sequence similarity networks. We also used spectral clustering to group the sequences based on the network graph structures. A stepwise analysis of the cluster hierarchies allowed us to estimate a possible evolutionary pathway for the Pol proteins. The subtype A sequences also clustered according to when and where the viruses were isolated, whereas both the subtype B and C sequences remained as single clusters. Because the Pol protein has several functional domains, we identified the regions that are discriminative by comparing the structures of the domain-based networks. Our results suggest that sequence changes in the RNase H domain and the reverse transcriptase (RT) connection domain are responsible for the subtype classification. By analyzing the different amino acid compositions at each site in both domain sequences, we found that a few specific amino acid residues (i.e., M357 in the RT connection domain and Q480, Y483, and L491 in the RNase H domain) represent the differences among the subtypes. These residues were located on the surface of the RT structure and in the vicinity of the amino acid sites responsible for RT enzymatic activity or function.

SUBMITTER: Nagata S

PROVIDER: S-EPMC5666293 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Evolutionary Analysis of HIV-1 Pol Proteins Reveals Representative Residues for Viral Subtype Differentiation.

Nagata Shohei S Imai Junnosuke J Makino Gakuto G Tomita Masaru M Kanai Akio A

Frontiers in microbiology 20171102

RNA viruses have been used as model systems to understand the patterns and processes of molecular evolution because they have high mutation rates and are genetically diverse. <i>Human immunodeficiency virus 1</i> (HIV-1), the etiological agent of acquired immune deficiency syndrome, is highly genetically diverse, and is classified into several groups and subtypes. However, it has been difficult to use its diverse sequences to establish the overall phylogenetic relationships of different strains ...[more]

PMID: 29163435

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Project description:BACKGROUND:Despite the extensive genetic diversity of HIV-1, viral evolution in response to immune selective pressures follows broadly predictable mutational patterns. Sites and pathways of Human Leukocyte-Antigen (HLA)-associated polymorphisms in HIV-1 have been identified through the analysis of population-level data, but the full extent of immune escape pathways remains incompletely characterized. Here, in the largest analysis of HIV-1 subtype B sequences undertaken to date, we identify HLA-associated polymorphisms in the three HIV-1 proteins most commonly considered in cellular-based vaccine strategies. Results are organized into protein-wide escape maps illustrating the sites and pathways of HLA-driven viral evolution. METHODOLOGY/PRINCIPAL FINDINGS:HLA-associated polymorphisms were identified in HIV-1 Gag, Pol and Nef in a multicenter cohort of >1500 chronically subtype-B infected, treatment-naïve individuals from established cohorts in Canada, the USA and Western Australia. At q< or =0.05, 282 codons commonly mutating under HLA-associated immune pressures were identified in these three proteins. The greatest density of associations was observed in Nef (where close to 40% of codons exhibited a significant HLA association), followed by Gag then Pol (where approximately 15-20% of codons exhibited HLA associations), confirming the extensive impact of immune selection on HIV evolution and diversity. Analysis of HIV codon covariation patterns identified over 2000 codon-codon interactions at q< or =0.05, illustrating the dense and complex networks of linked escape and secondary/compensatory mutations. CONCLUSIONS/SIGNIFICANCE:The immune escape maps and associated data are intended to serve as a user-friendly guide to the locations of common escape mutations and covarying codons in HIV-1 subtype B, and as a resource facilitating the systematic identification and classification of immune escape mutations. These resources should facilitate research in HIV epitope discovery and host-pathogen co-evolution, and are relevant to the continued search for an effective CTL-based AIDS vaccine.

Project description:CD8+ T cell-mediated escape mutations in Gag can reduce HIV-1 replication capacity (RC) and alter disease progression, but less is known about immune-mediated attenuation in other HIV-1 proteins. We generated 487 recombinant viruses encoding RT-integrase from individuals with chronic (n = 406) and recent (n = 81) HIV-1 subtype C infection and measured their in vitro RC using a green fluorescent protein (GFP) reporter T cell assay. In recently infected individuals, reverse transcriptase (RT)-integrase-driven RC correlated significantly with viral load set point (r = 0.25; P = 0.03) and CD4+ T cell decline (P = 0.013). Moreover, significant associations between RT integrase-driven RC and viral load (r = 0.28; P < 0.0001) and CD4+ T cell count (r = -0.29; P < 0.0001) remained in chronic infection. In early HIV infection, host expression of the protective HLA-B*81 allele was associated with lower RC (P = 0.05), as was expression of HLA-B*07 (P = 0.02), suggesting early immune-driven attenuation of RT-integrase by these alleles. In chronic infection, HLA-A*30:09 (in linkage disequilibrium with HLA-B*81) was significantly associated with lower RC (P = 0.05), and all 6 HLA-B alleles with the lowest RC measurements represented protective alleles, consistent with long-term effects of host immune pressures on lowering RT-integrase RC. The polymorphisms V241I, I257V, P272K, and E297K in reverse transcriptase and I201V in integrase, all relatively uncommon polymorphisms occurring in or adjacent to optimally described HLA-restricted cytotoxic T-lymphocyte epitopes, were associated with reduced RC. Together, our data suggest that RT-integrase-driven RC is clinically relevant and provide evidence that immune-driven selection of mutations in RT-integrase can compromise RC.IMPORTANCE Identification of viral mutations that compromise HIV's ability to replicate may aid rational vaccine design. However, while certain escape mutations in Gag have been shown to reduce HIV replication and influence clinical progression, less is known about the consequences of mutations that naturally arise in other HIV proteins. Pol is a highly conserved protein, but the impact of Pol function on HIV disease progression is not well defined. Here, we generated recombinant viruses using the RT-integrase region of Pol derived from HIV-1C-infected individuals with recent and chronic infection and measured their ability to replicate in vitro We demonstrate that RT-integrase-driven replication ability significantly impacts HIV disease progression. We further show evidence of immune-mediated attenuation in RT-integrase and identify specific polymorphisms in RT-integrase that significantly decrease HIV-1 replication ability, suggesting which Pol epitopes could be explored in vaccine development.

Project description:BackgroundThe first case of HIV infection in Sri Lanka was reported in 1987 and at the end of 2018 there were 3500 people living with HIV. There have been commendable efforts made towards the detection, treatment, and prevention of HIV in the country. Even though the genetic diversity of HIV has been shown to affect the parameters ranging from detection to vaccine development, there is no data available with respect to the molecular epidemiology of HIV-1 in Sri Lanka.MethodsIn this report we have performed the ancillary analysis of pol gene region sequences (n = 85) obtained primarily for the purpose of HIV-1 drug resistance genotyping. Briefly, dried blood spot specimens (DBS) collected from HIV-1 infected individuals between December 2015 and August 2018 were subjected to pol gene amplification and sequencing. These pol gene sequences were used to interpret the drug resistance mutation profiles. Further, sequences were subjected to HIV-1 subtyping using REGA 3.0, COMET, jPHMM and, RIP online subtyping tools. Moreover, Bayesian phylogenetic analysis was employed to estimate the evolutionary history of HIV-1 subtype C in Sri Lanka.ResultsOur analysis revealed that the majority (51.8%) of pol gene sequences were subtype C. Other than subtype C, there were sequences categorized as subtypes A1, B, D and G. In addition to pure subtypes there were sequences which were observed to be circulating recombinant forms (CRFs) and a few of the recombinants were identified as potential unique recombinants (URFs). We also observed the presence of drug resistance mutations in 56 (65.9%) out of 85 sequences. Estimates of the Bayesian evolutionary analysis suggested that the HIV-1 subtype C was introduced to Sri Lanka during the early 1970s (1972.8).ConclusionThe findings presented here indicate the presence of multiple HIV-1 subtypes and the prevalence of drug resistance mutations in Sri Lanka. The majority of the sequences were subtype C, having their most recent common ancestor traced back to the early 1970s. Continuous molecular surveillance of HIV-1 molecular epidemiology will be crucial to keep track of drug resistance, genetic diversity, and evolutionary history of HIV-1 in Sri Lanka.

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Evolutionary Analysis of HIV-1 Pol Proteins Reveals Representative Residues for Viral Subtype Differentiation.

Publications

Evolutionary Analysis of HIV-1 Pol Proteins Reveals Representative Residues for Viral Subtype Differentiation.

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