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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-9089901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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