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A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing

Washington, DC continues to experience a generalized HIV-1 epidemic. We characterized the local phylodynamics of HIV-1 in DC using next-generation sequencing (NGS) data. Viral samples from 68 participants from 2016 through 2017 were sequenced and paired with epidemiological data. Phylogenetic and ne...

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Autores principales: Gibson, Keylie M., Jair, Kamwing, Castel, Amanda D., Bendall, Matthew L., Wilbourn, Brittany, Jordan, Jeanne A., Crandall, Keith A., Pérez-Losada, Marcos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004982/
https://www.ncbi.nlm.nih.gov/pubmed/32029767
http://dx.doi.org/10.1038/s41598-020-58410-y
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author Gibson, Keylie M.
Jair, Kamwing
Castel, Amanda D.
Bendall, Matthew L.
Wilbourn, Brittany
Jordan, Jeanne A.
Crandall, Keith A.
Pérez-Losada, Marcos
author_facet Gibson, Keylie M.
Jair, Kamwing
Castel, Amanda D.
Bendall, Matthew L.
Wilbourn, Brittany
Jordan, Jeanne A.
Crandall, Keith A.
Pérez-Losada, Marcos
author_sort Gibson, Keylie M.
collection PubMed
description Washington, DC continues to experience a generalized HIV-1 epidemic. We characterized the local phylodynamics of HIV-1 in DC using next-generation sequencing (NGS) data. Viral samples from 68 participants from 2016 through 2017 were sequenced and paired with epidemiological data. Phylogenetic and network inferences, drug resistant mutations (DRMs), subtypes and HIV-1 diversity estimations were completed. Haplotypes were reconstructed to infer transmission clusters. Phylodynamic inferences based on the HIV-1 polymerase (pol) and envelope genes (env) were compared. Higher HIV-1 diversity (n.s.) was seen in men who have sex with men, heterosexual, and male participants in DC. 54.0% of the participants contained at least one DRM. The 40–49 year-olds showed the highest prevalence of DRMs (22.9%). Phylogenetic analysis of pol and env sequences grouped 31.9–33.8% of the participants into clusters. HIV-TRACE grouped 2.9–12.8% of participants when using consensus sequences and 9.0–64.2% when using haplotypes. NGS allowed us to characterize the local phylodynamics of HIV-1 in DC more broadly and accurately, given a better representation of its diversity and dynamics. Reconstructed haplotypes provided novel and deeper phylodynamic insights, which led to networks linking a higher number of participants. Our understanding of the HIV-1 epidemic was expanded with the powerful coupling of HIV-1 NGS data with epidemiological data.
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spelling pubmed-70049822020-02-14 A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing Gibson, Keylie M. Jair, Kamwing Castel, Amanda D. Bendall, Matthew L. Wilbourn, Brittany Jordan, Jeanne A. Crandall, Keith A. Pérez-Losada, Marcos Sci Rep Article Washington, DC continues to experience a generalized HIV-1 epidemic. We characterized the local phylodynamics of HIV-1 in DC using next-generation sequencing (NGS) data. Viral samples from 68 participants from 2016 through 2017 were sequenced and paired with epidemiological data. Phylogenetic and network inferences, drug resistant mutations (DRMs), subtypes and HIV-1 diversity estimations were completed. Haplotypes were reconstructed to infer transmission clusters. Phylodynamic inferences based on the HIV-1 polymerase (pol) and envelope genes (env) were compared. Higher HIV-1 diversity (n.s.) was seen in men who have sex with men, heterosexual, and male participants in DC. 54.0% of the participants contained at least one DRM. The 40–49 year-olds showed the highest prevalence of DRMs (22.9%). Phylogenetic analysis of pol and env sequences grouped 31.9–33.8% of the participants into clusters. HIV-TRACE grouped 2.9–12.8% of participants when using consensus sequences and 9.0–64.2% when using haplotypes. NGS allowed us to characterize the local phylodynamics of HIV-1 in DC more broadly and accurately, given a better representation of its diversity and dynamics. Reconstructed haplotypes provided novel and deeper phylodynamic insights, which led to networks linking a higher number of participants. Our understanding of the HIV-1 epidemic was expanded with the powerful coupling of HIV-1 NGS data with epidemiological data. Nature Publishing Group UK 2020-02-06 /pmc/articles/PMC7004982/ /pubmed/32029767 http://dx.doi.org/10.1038/s41598-020-58410-y 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
Gibson, Keylie M.
Jair, Kamwing
Castel, Amanda D.
Bendall, Matthew L.
Wilbourn, Brittany
Jordan, Jeanne A.
Crandall, Keith A.
Pérez-Losada, Marcos
A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing
title A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing
title_full A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing
title_fullStr A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing
title_full_unstemmed A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing
title_short A cross-sectional study to characterize local HIV-1 dynamics in Washington, DC using next-generation sequencing
title_sort cross-sectional study to characterize local hiv-1 dynamics in washington, dc using next-generation sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004982/
https://www.ncbi.nlm.nih.gov/pubmed/32029767
http://dx.doi.org/10.1038/s41598-020-58410-y
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