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Analysis of temporal changes in HIV-1 CRF01_AE gag genetic variability and CD8 T-cell epitope evolution

Currently, little is known about the time-dependent evolution of human immunodeficiency virus-1 (HIV-1) circulating recombinant forms (CRF) 01_AE, a dominant recombinant form associated with HIV-1 epidemics worldwide. Since gag is a highly immunodominant HIV-1 protein, we performed a comparative ana...

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Autores principales: Rafaqat, Wardah, Tariq, Uroosa, Farooqui, Nida, Zaidi, Maheen, Raees, Aanish, Zuberi, Maaz, Batool, Amna, Abidi, Syed Hani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9089901/
https://www.ncbi.nlm.nih.gov/pubmed/35536783
http://dx.doi.org/10.1371/journal.pone.0267130
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author Rafaqat, Wardah
Tariq, Uroosa
Farooqui, Nida
Zaidi, Maheen
Raees, Aanish
Zuberi, Maaz
Batool, Amna
Abidi, Syed Hani
author_facet Rafaqat, Wardah
Tariq, Uroosa
Farooqui, Nida
Zaidi, Maheen
Raees, Aanish
Zuberi, Maaz
Batool, Amna
Abidi, Syed Hani
author_sort Rafaqat, Wardah
collection PubMed
description Currently, little is known about the time-dependent evolution of human immunodeficiency virus-1 (HIV-1) circulating recombinant forms (CRF) 01_AE, a dominant recombinant form associated with HIV-1 epidemics worldwide. Since gag is a highly immunodominant HIV-1 protein, we performed a comparative analysis of the CRF01_AE gag protein’s time-dependent changes and evolution. A total of 3105 HIV-1 CRF01_AE gag sequences representing 17 countries from the timeline 1990–2017 were obtained. The sequences’ phylogenetic relationship and epidemic dynamics were analyzed through a Maximum Likelihood tree and Bayesian Skyline plot, respectively. Genomic variability was measured through Shannon entropy and time-dependent immunoevolution was analyzed using changes in proteasomal degradation pattern, cytotoxic T lymphocytes (CTL) epitopes, and Human leukocyte antigens (HLA) restriction profile. The most recent common ancestor of the HIV CRF01_AE epidemic was estimated to be 1974±1. A period of exponential growth in effective population size began in 1982, fluctuated, and then stabilized in 1999. Genetic variability (entropy) consistently increased, however, epitope variability remained comparable; the highest number of novel CTL epitopes were present in 1995–1999, which were lost over time. The spread of the HIV-1 CRF01_AE epidemic is predominant in countries within Asia. Population immunogenetic pressures in the region may have contributed to the initial changes and following adaptation/stabilization of epitope diversity within gag sequences.
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spelling pubmed-90899012022-05-11 Analysis of temporal changes in HIV-1 CRF01_AE gag genetic variability and CD8 T-cell epitope evolution Rafaqat, Wardah Tariq, Uroosa Farooqui, Nida Zaidi, Maheen Raees, Aanish Zuberi, Maaz Batool, Amna Abidi, Syed Hani PLoS One Research Article Currently, little is known about the time-dependent evolution of human immunodeficiency virus-1 (HIV-1) circulating recombinant forms (CRF) 01_AE, a dominant recombinant form associated with HIV-1 epidemics worldwide. Since gag is a highly immunodominant HIV-1 protein, we performed a comparative analysis of the CRF01_AE gag protein’s time-dependent changes and evolution. A total of 3105 HIV-1 CRF01_AE gag sequences representing 17 countries from the timeline 1990–2017 were obtained. The sequences’ phylogenetic relationship and epidemic dynamics were analyzed through a Maximum Likelihood tree and Bayesian Skyline plot, respectively. Genomic variability was measured through Shannon entropy and time-dependent immunoevolution was analyzed using changes in proteasomal degradation pattern, cytotoxic T lymphocytes (CTL) epitopes, and Human leukocyte antigens (HLA) restriction profile. The most recent common ancestor of the HIV CRF01_AE epidemic was estimated to be 1974±1. A period of exponential growth in effective population size began in 1982, fluctuated, and then stabilized in 1999. Genetic variability (entropy) consistently increased, however, epitope variability remained comparable; the highest number of novel CTL epitopes were present in 1995–1999, which were lost over time. The spread of the HIV-1 CRF01_AE epidemic is predominant in countries within Asia. Population immunogenetic pressures in the region may have contributed to the initial changes and following adaptation/stabilization of epitope diversity within gag sequences. Public Library of Science 2022-05-10 /pmc/articles/PMC9089901/ /pubmed/35536783 http://dx.doi.org/10.1371/journal.pone.0267130 Text en © 2022 Rafaqat et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rafaqat, Wardah
Tariq, Uroosa
Farooqui, Nida
Zaidi, Maheen
Raees, Aanish
Zuberi, Maaz
Batool, Amna
Abidi, Syed Hani
Analysis of temporal changes in HIV-1 CRF01_AE gag genetic variability and CD8 T-cell epitope evolution
title Analysis of temporal changes in HIV-1 CRF01_AE gag genetic variability and CD8 T-cell epitope evolution
title_full Analysis of temporal changes in HIV-1 CRF01_AE gag genetic variability and CD8 T-cell epitope evolution
title_fullStr Analysis of temporal changes in HIV-1 CRF01_AE gag genetic variability and CD8 T-cell epitope evolution
title_full_unstemmed Analysis of temporal changes in HIV-1 CRF01_AE gag genetic variability and CD8 T-cell epitope evolution
title_short Analysis of temporal changes in HIV-1 CRF01_AE gag genetic variability and CD8 T-cell epitope evolution
title_sort analysis of temporal changes in hiv-1 crf01_ae gag genetic variability and cd8 t-cell epitope evolution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9089901/
https://www.ncbi.nlm.nih.gov/pubmed/35536783
http://dx.doi.org/10.1371/journal.pone.0267130
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