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Tracing the transmission dynamics of HIV-1 CRF55_01B
To investigate the genetic diversity, spatiotemporal dynamics, and transmission networks of HIV-1 CRF55_01B epidemic in China. A total of 209 partial pol gene sequences of HIV-1 CRF55_01B were sampled during 2007–2015 from 7 provinces of China. Phylogenetic analyses and trait diffusion process of th...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083841/ https://www.ncbi.nlm.nih.gov/pubmed/32198405 http://dx.doi.org/10.1038/s41598-020-61870-x |
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author | Zai, Junjie Liu, Haizhou Lu, Zhenzhen Chaillon, Antoine Smith, Davey Li, Yi Li, Xingguang |
author_facet | Zai, Junjie Liu, Haizhou Lu, Zhenzhen Chaillon, Antoine Smith, Davey Li, Yi Li, Xingguang |
author_sort | Zai, Junjie |
collection | PubMed |
description | To investigate the genetic diversity, spatiotemporal dynamics, and transmission networks of HIV-1 CRF55_01B epidemic in China. A total of 209 partial pol gene sequences of HIV-1 CRF55_01B were sampled during 2007–2015 from 7 provinces of China. Phylogenetic analyses and trait diffusion process of these sequences were performed using Bayesian methods. Distance-based molecular network analyses were performed to infer putative relationships. Characteristics of genetically linked individuals were analyzed. Our study identified that HIV-1 CRF55_01B likely originated among men who have sex with men (MSM) in Guangdong province in January 2003 (April 2000–April 2005), and that Guangdong province and MSM are major hubs for the spread of the HIV-1 CRF55_01B epidemic in China. A Bayesian Skygrid plot revealed that the effective population size of HIV-1 CRF55_01B experienced increased phase followed by a plateau. All sequences from persons of unknown risk clustered within groups who reported MSM risk. This could be because Chinese MSM may not report such risk due to HIV/AIDS-related stigmatization and discrimination. This study inferred the transmission dynamics of the HIV-1 CRF55_01B epidemic in China at high resolution. The methods developed in this study may be critical for designing effective HIV prevention strategies in China and beyond. |
format | Online Article Text |
id | pubmed-7083841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70838412020-03-26 Tracing the transmission dynamics of HIV-1 CRF55_01B Zai, Junjie Liu, Haizhou Lu, Zhenzhen Chaillon, Antoine Smith, Davey Li, Yi Li, Xingguang Sci Rep Article To investigate the genetic diversity, spatiotemporal dynamics, and transmission networks of HIV-1 CRF55_01B epidemic in China. A total of 209 partial pol gene sequences of HIV-1 CRF55_01B were sampled during 2007–2015 from 7 provinces of China. Phylogenetic analyses and trait diffusion process of these sequences were performed using Bayesian methods. Distance-based molecular network analyses were performed to infer putative relationships. Characteristics of genetically linked individuals were analyzed. Our study identified that HIV-1 CRF55_01B likely originated among men who have sex with men (MSM) in Guangdong province in January 2003 (April 2000–April 2005), and that Guangdong province and MSM are major hubs for the spread of the HIV-1 CRF55_01B epidemic in China. A Bayesian Skygrid plot revealed that the effective population size of HIV-1 CRF55_01B experienced increased phase followed by a plateau. All sequences from persons of unknown risk clustered within groups who reported MSM risk. This could be because Chinese MSM may not report such risk due to HIV/AIDS-related stigmatization and discrimination. This study inferred the transmission dynamics of the HIV-1 CRF55_01B epidemic in China at high resolution. The methods developed in this study may be critical for designing effective HIV prevention strategies in China and beyond. Nature Publishing Group UK 2020-03-20 /pmc/articles/PMC7083841/ /pubmed/32198405 http://dx.doi.org/10.1038/s41598-020-61870-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zai, Junjie Liu, Haizhou Lu, Zhenzhen Chaillon, Antoine Smith, Davey Li, Yi Li, Xingguang Tracing the transmission dynamics of HIV-1 CRF55_01B |
title | Tracing the transmission dynamics of HIV-1 CRF55_01B |
title_full | Tracing the transmission dynamics of HIV-1 CRF55_01B |
title_fullStr | Tracing the transmission dynamics of HIV-1 CRF55_01B |
title_full_unstemmed | Tracing the transmission dynamics of HIV-1 CRF55_01B |
title_short | Tracing the transmission dynamics of HIV-1 CRF55_01B |
title_sort | tracing the transmission dynamics of hiv-1 crf55_01b |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083841/ https://www.ncbi.nlm.nih.gov/pubmed/32198405 http://dx.doi.org/10.1038/s41598-020-61870-x |
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