» Articles » PMID: 24609015

HIV-1 Subtypes B and C Unique Recombinant Forms (URFs) and Transmitted Drug Resistance Identified in the Western Cape Province, South Africa

Overview
Journal PLoS One
Date 2014 Mar 11
PMID 24609015
Citations 12
Authors
Affiliations
Soon will be listed here.
Abstract

South Africa has the largest worldwide HIV/AIDS population with 5.6 million people infected and at least 2 million people on antiretroviral therapy. The majority of these infections are caused by HIV-1 subtype C. Using genotyping methods we characterized HIV-1 subtypes of the gag p24 and pol PR and RT fragments, from a cohort of female participants in the Western Cape Province, South Africa. These participants were recruited as part of a study to assess the combined brain and behavioural effects of HIV and early childhood trauma. The partial HIV-1 gag and pol fragments of 84 participants were amplified by PCR and sequenced. Different online tools and manual phylogenetic analysis were used for HIV-1 subtyping. Online tools included: REGA HIV Subtyping tool version 3; Recombinant Identification Program (RIP); Context-based Modeling for Expeditious Typing (COMET); jumping profile Hidden Markov Models (jpHMM) webserver; and subtype classification using evolutionary algorithms (SCUEAL). HIV-1 subtype C predominates within the cohort with a prevalence of 93.8%. We also show, for the first time, the presence of circulating BC strains in at least 4.6% of our study cohort. In addition, we detected transmitted resistance associated mutations in 4.6% of analysed sequences. With tourism and migration rates to South Africa currently very high, we are detecting more and more HIV-1 URFs within our study populations. It is still unclear what role these unique strains will play in terms of long term antiretroviral treatment and what challenges they will pose to vaccine development. Nevertheless, it remains vitally important to monitor the HIV-1 diversity in South Africa and worldwide as the face of the epidemic is continually changing.

Citing Articles

Spatial-temporal transmission dynamics of HIV-1 CRF01_AE in Indonesia.

Khairunisa S, Indriati D, Megasari N, Ueda S, Kotaki T, Fahmi M Sci Rep. 2024; 14(1):9917.

PMID: 38730038 PMC: 11087524. DOI: 10.1038/s41598-024-59820-y.


Genetic and antiretroviral drug resistance mutations analysis of reverse transcriptase and protease gene from Pakistani people living with HIV-1.

Siddiqui D, Badar U, Javaid M, Farooqui N, Shah S, Iftikhar A PLoS One. 2023; 18(8):e0290425.

PMID: 37616294 PMC: 10449192. DOI: 10.1371/journal.pone.0290425.


Deep sequencing of the HIV-1 polymerase gene for characterisation of cytotoxic T-lymphocyte epitopes during early and chronic disease stages.

Nkone P, Loubser S, Quinn T, Redd A, Ismail A, Tiemessen C Virol J. 2022; 19(1):56.

PMID: 35346259 PMC: 8959563. DOI: 10.1186/s12985-022-01772-8.


Potential challenges to sustained viral load suppression in the HIV treatment programme in South Africa: a narrative overview.

Bessong P, Matume N, Tebit D AIDS Res Ther. 2021; 18(1):1.

PMID: 33407664 PMC: 7788882. DOI: 10.1186/s12981-020-00324-w.


Trends in Pretreatment HIV-1 Drug Resistance in Antiretroviral Therapy-naive Adults in South Africa, 2000-2016: A Pooled Sequence Analysis.

Chimukangara B, Lessells R, Rhee S, Giandhari J, Kharsany A, Naidoo K EClinicalMedicine. 2019; 9:26-34.

PMID: 31143879 PMC: 6510720. DOI: 10.1016/j.eclinm.2019.03.006.


References
1.
Bulla I, Schultz A, Meinicke P . Improving Hidden Markov Models for classification of human immunodeficiency virus-1 subtypes through linear classifier learning. Stat Appl Genet Mol Biol. 2012; 11(1):Article 1. DOI: 10.2202/1544-6115.1680. View

2.
Darriba D, Taboada G, Doallo R, Posada D . jModelTest 2: more models, new heuristics and parallel computing. Nat Methods. 2012; 9(8):772. PMC: 4594756. DOI: 10.1038/nmeth.2109. View

3.
Jacobs G, Loxton A, Laten A, Robson B, Van Rensburg E, Engelbrecht S . Emergence and diversity of different HIV-1 subtypes in South Africa, 2000-2001. J Med Virol. 2009; 81(11):1852-9. DOI: 10.1002/jmv.21609. View

4.
Huelsenbeck J, Ronquist F . MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics. 2001; 17(8):754-5. DOI: 10.1093/bioinformatics/17.8.754. View

5.
Zhang M, Foley B, Schultz A, Macke J, Bulla I, Stanke M . The role of recombination in the emergence of a complex and dynamic HIV epidemic. Retrovirology. 2010; 7:25. PMC: 2855530. DOI: 10.1186/1742-4690-7-25. View