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Phylodynamics of major CRF01_AE epidemic clusters circulating in mainland of China

As the most dominant HIV-1 strain in China, CRF01_AE needs to have its evolutionary and demographic history documented. In this study, we provide phylogenetic analysis of all CRF01_AE pol sequences identified in mainland China. CRF01_AE sequences were collected from the Los Alamos HIV Sequence Datab...

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Autores principales: Wang, Xiaolin, He, Xiang, Zhong, Ping, Liu, Yongjian, Gui, Tao, Jia, Dijing, Li, Hanping, Wu, Jianjun, Yan, Jin, Kang, Dianmin, Han, Yang, Li, Taisheng, Yang, Rongge, Han, Xiaoxu, Chen, Lin, Zhao, Jin, Xing, Hui, Liang, Shu, He, Jianmei, Yan, Yansheng, Xue, Yile, Zhang, Jiafeng, Zhuang, Xun, Liang, Shujia, Bao, Zuoyi, Li, Tianyi, Zhuang, Daomin, Liu, Siyang, Han, Jingwan, Jia, Lei, Li, Jingyun, Li, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524839/
https://www.ncbi.nlm.nih.gov/pubmed/28740095
http://dx.doi.org/10.1038/s41598-017-06573-6
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author Wang, Xiaolin
He, Xiang
Zhong, Ping
Liu, Yongjian
Gui, Tao
Jia, Dijing
Li, Hanping
Wu, Jianjun
Yan, Jin
Kang, Dianmin
Han, Yang
Li, Taisheng
Yang, Rongge
Han, Xiaoxu
Chen, Lin
Zhao, Jin
Xing, Hui
Liang, Shu
He, Jianmei
Yan, Yansheng
Xue, Yile
Zhang, Jiafeng
Zhuang, Xun
Liang, Shujia
Bao, Zuoyi
Li, Tianyi
Zhuang, Daomin
Liu, Siyang
Han, Jingwan
Jia, Lei
Li, Jingyun
Li, Lin
author_facet Wang, Xiaolin
He, Xiang
Zhong, Ping
Liu, Yongjian
Gui, Tao
Jia, Dijing
Li, Hanping
Wu, Jianjun
Yan, Jin
Kang, Dianmin
Han, Yang
Li, Taisheng
Yang, Rongge
Han, Xiaoxu
Chen, Lin
Zhao, Jin
Xing, Hui
Liang, Shu
He, Jianmei
Yan, Yansheng
Xue, Yile
Zhang, Jiafeng
Zhuang, Xun
Liang, Shujia
Bao, Zuoyi
Li, Tianyi
Zhuang, Daomin
Liu, Siyang
Han, Jingwan
Jia, Lei
Li, Jingyun
Li, Lin
author_sort Wang, Xiaolin
collection PubMed
description As the most dominant HIV-1 strain in China, CRF01_AE needs to have its evolutionary and demographic history documented. In this study, we provide phylogenetic analysis of all CRF01_AE pol sequences identified in mainland China. CRF01_AE sequences were collected from the Los Alamos HIV Sequence Database and the local Chinese provincial centers of disease control and prevention. Phylogenetic trees were constructed to identify major epidemic clusters. Bayesian coalescent-based method was used to reconstruct the time scale and demographic history. There were 2965 CRF01_AE sequences from 24 Chinese provinces that were collected, and 5 major epidemic clusters containing 85% of the total CRF01_AE sequences were identified. Every cluster contains sequences from more than 10 provinces with 1 or 2 dominant transmission routes. One cluster arose in the 1990s and 4 clusters arose in the 2000s. Cluster I is in the decline stage, while the other clusters are in the stable stage. Obvious lineage can be observed among sequences from the same transmission route but not the same area. Two large clusters in high-level prevalence were found in MSM (Men who have sex with men), which highlighted that more emphasis should be placed on MSM for HIV control in mainland China.
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spelling pubmed-55248392017-07-26 Phylodynamics of major CRF01_AE epidemic clusters circulating in mainland of China Wang, Xiaolin He, Xiang Zhong, Ping Liu, Yongjian Gui, Tao Jia, Dijing Li, Hanping Wu, Jianjun Yan, Jin Kang, Dianmin Han, Yang Li, Taisheng Yang, Rongge Han, Xiaoxu Chen, Lin Zhao, Jin Xing, Hui Liang, Shu He, Jianmei Yan, Yansheng Xue, Yile Zhang, Jiafeng Zhuang, Xun Liang, Shujia Bao, Zuoyi Li, Tianyi Zhuang, Daomin Liu, Siyang Han, Jingwan Jia, Lei Li, Jingyun Li, Lin Sci Rep Article As the most dominant HIV-1 strain in China, CRF01_AE needs to have its evolutionary and demographic history documented. In this study, we provide phylogenetic analysis of all CRF01_AE pol sequences identified in mainland China. CRF01_AE sequences were collected from the Los Alamos HIV Sequence Database and the local Chinese provincial centers of disease control and prevention. Phylogenetic trees were constructed to identify major epidemic clusters. Bayesian coalescent-based method was used to reconstruct the time scale and demographic history. There were 2965 CRF01_AE sequences from 24 Chinese provinces that were collected, and 5 major epidemic clusters containing 85% of the total CRF01_AE sequences were identified. Every cluster contains sequences from more than 10 provinces with 1 or 2 dominant transmission routes. One cluster arose in the 1990s and 4 clusters arose in the 2000s. Cluster I is in the decline stage, while the other clusters are in the stable stage. Obvious lineage can be observed among sequences from the same transmission route but not the same area. Two large clusters in high-level prevalence were found in MSM (Men who have sex with men), which highlighted that more emphasis should be placed on MSM for HIV control in mainland China. Nature Publishing Group UK 2017-07-24 /pmc/articles/PMC5524839/ /pubmed/28740095 http://dx.doi.org/10.1038/s41598-017-06573-6 Text en © The Author(s) 2017 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
Wang, Xiaolin
He, Xiang
Zhong, Ping
Liu, Yongjian
Gui, Tao
Jia, Dijing
Li, Hanping
Wu, Jianjun
Yan, Jin
Kang, Dianmin
Han, Yang
Li, Taisheng
Yang, Rongge
Han, Xiaoxu
Chen, Lin
Zhao, Jin
Xing, Hui
Liang, Shu
He, Jianmei
Yan, Yansheng
Xue, Yile
Zhang, Jiafeng
Zhuang, Xun
Liang, Shujia
Bao, Zuoyi
Li, Tianyi
Zhuang, Daomin
Liu, Siyang
Han, Jingwan
Jia, Lei
Li, Jingyun
Li, Lin
Phylodynamics of major CRF01_AE epidemic clusters circulating in mainland of China
title Phylodynamics of major CRF01_AE epidemic clusters circulating in mainland of China
title_full Phylodynamics of major CRF01_AE epidemic clusters circulating in mainland of China
title_fullStr Phylodynamics of major CRF01_AE epidemic clusters circulating in mainland of China
title_full_unstemmed Phylodynamics of major CRF01_AE epidemic clusters circulating in mainland of China
title_short Phylodynamics of major CRF01_AE epidemic clusters circulating in mainland of China
title_sort phylodynamics of major crf01_ae epidemic clusters circulating in mainland of china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524839/
https://www.ncbi.nlm.nih.gov/pubmed/28740095
http://dx.doi.org/10.1038/s41598-017-06573-6
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