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      A New HIV-1 K 28E 32-Reverse Transcriptase Variant Associated with the Rapid Expansion of CRF07_BC among Men Who Have Sex with Men

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          ABSTRACT

          HIV-1 CRF07_BC originated among injection drug users (IDUs) in China. After diffusing into men who have sex with men (MSM), CRF07_BC has shown a rapid expansion in this group; however, the mechanism remains unclear. Here, we identified a new K 28E 32 variant of CRF07_BC that was characterized by five specific mutations (E28K, K32E, E248V, K249Q, and T338S) in reverse transcriptase. This variant was mainly prevalent among MSM, and was overrepresented in transmission clusters, suggesting that it could have driven the rapid expansion of CRF07_BC in MSM, though founder effects cannot be ruled out. It was descended from an evolutionary intermediate accumulating four specific mutations and formed an independent phylogenetic node with an estimated origin time in 2003. The K 28E 32 variant was demonstrated to have significantly higher in vitro HIV-1 replication ability than the wild type. Mutations E28K and K32E play a critical role in the improvement of in vitro HIV-1 replication ability, reflected by improved reverse transcription activity. The results could allow public health officials to use this marker (especially E28K and K32E mutations in the reverse transcriptase (RT) coding region) to target prevention measures prioritizing MSM population and persons infected with this variant for test and treat initiatives.

          IMPORTANCE HIV-1 has very high mutation rate that is correlated with the survival and adaption of the virus. The variants with higher transmissibility may be more selective advantage than the strains with higher virulence. Several HIV-1 variants were previously demonstrated to be correlated with higher viral load and lower CD4 T cell count. Here, we first identified a new variant (the K 28E 32 variant) of HIV-1 CRF07_BC, described its origin and evolutionary dynamics, and demonstrated its higher in vitro HIV-1 replication ability than the wild type. We demonstrated that five RT mutations (especially E28K and K32E) significantly improve in vitro HIV-1 replication ability. The appearance of the new K 28E 32 variant was associated with the rapidly increasing prevalence of CRF07_BC among MSM.

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          New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.

          PhyML is a phylogeny software based on the maximum-likelihood principle. Early PhyML versions used a fast algorithm performing nearest neighbor interchanges to improve a reasonable starting tree topology. Since the original publication (Guindon S., Gascuel O. 2003. A simple, fast and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst. Biol. 52:696-704), PhyML has been widely used (>2500 citations in ISI Web of Science) because of its simplicity and a fair compromise between accuracy and speed. In the meantime, research around PhyML has continued, and this article describes the new algorithms and methods implemented in the program. First, we introduce a new algorithm to search the tree space with user-defined intensity using subtree pruning and regrafting topological moves. The parsimony criterion is used here to filter out the least promising topology modifications with respect to the likelihood function. The analysis of a large collection of real nucleotide and amino acid data sets of various sizes demonstrates the good performance of this method. Second, we describe a new test to assess the support of the data for internal branches of a phylogeny. This approach extends the recently proposed approximate likelihood-ratio test and relies on a nonparametric, Shimodaira-Hasegawa-like procedure. A detailed analysis of real alignments sheds light on the links between this new approach and the more classical nonparametric bootstrap method. Overall, our tests show that the last version (3.0) of PhyML is fast, accurate, stable, and ready to use. A Web server and binary files are available from http://www.atgc-montpellier.fr/phyml/.
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            Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10

            Abstract The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package has become a primary tool for Bayesian phylogenetic and phylodynamic inference from genetic sequence data. BEAST unifies molecular phylogenetic reconstruction with complex discrete and continuous trait evolution, divergence-time dating, and coalescent demographic models in an efficient statistical inference engine using Markov chain Monte Carlo integration. A convenient, cross-platform, graphical user interface allows the flexible construction of complex evolutionary analyses.
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              Exploring the temporal structure of heterochronous sequences using TempEst (formerly Path-O-Gen)

              Gene sequences sampled at different points in time can be used to infer molecular phylogenies on a natural timescale of months or years, provided that the sequences in question undergo measurable amounts of evolutionary change between sampling times. Data sets with this property are termed heterochronous and have become increasingly common in several fields of biology, most notably the molecular epidemiology of rapidly evolving viruses. Here we introduce the cross-platform software tool, TempEst (formerly known as Path-O-Gen), for the visualization and analysis of temporally sampled sequence data. Given a molecular phylogeny and the dates of sampling for each sequence, TempEst uses an interactive regression approach to explore the association between genetic divergence through time and sampling dates. TempEst can be used to (1) assess whether there is sufficient temporal signal in the data to proceed with phylogenetic molecular clock analysis, and (2) identify sequences whose genetic divergence and sampling date are incongruent. Examination of the latter can help identify data quality problems, including errors in data annotation, sample contamination, sequence recombination, or alignment error. We recommend that all users of the molecular clock models implemented in BEAST first check their data using TempEst prior to analysis.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Microbiol Spectr
                Microbiol Spectr
                spectrum
                Microbiology Spectrum
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2165-0497
                10 October 2022
                Sep-Oct 2022
                10 October 2022
                : 10
                : 5
                : e02545-22
                Affiliations
                [a ] Department of AIDS Research, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
                [b ] Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
                [c ] Shaanxi Engineering and Technological Research Center for Conversation and Utilization of Regional Biological Resources, College of Life Sciences, Yan’an University, Yan’an, Shaanxi, China
                [d ] Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
                [e ] Institut Pasteur of Shanghaigrid.429007.8, , Chinese Academy of Sciences, Shanghai, China
                Kumamoto University
                Author notes

                Jingwan Han and Yan-Heng Zhou contributed equally to this article. Author order is dependent on their contributions to experiments.

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0001-6124-5237
                https://orcid.org/0000-0001-8735-9857
                Article
                02545-22 spectrum.02545-22
                10.1128/spectrum.02545-22
                9604004
                36214682
                e0a54b98-e480-402c-809d-1cfc58c361a0
                Copyright © 2022 Han et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 13 July 2022
                : 15 September 2022
                Page count
                supplementary-material: 0, Figures: 8, Tables: 2, Equations: 0, References: 69, Pages: 18, Words: 10459
                Funding
                Funded by: National Natural Science Foundation of China (NSFC), FundRef https://doi.org/10.13039/501100001809;
                Award ID: 32170147
                Award ID: U1302224
                Award Recipient :
                Funded by: National Natural Science Foundation of China (NSFC), FundRef https://doi.org/10.13039/501100001809;
                Award ID: 81601802
                Award Recipient :
                Funded by: State Key Laboratory of Pathogen and Biosecurity, FundRef https://doi.org/10.13039/501100015976;
                Award ID: AMMS
                Award Recipient :
                Categories
                Research Article
                open-peer-review, Open Peer Review
                virology, Virology
                Custom metadata
                September/October 2022

                hiv-1,crf07_bc,variant,reverse transcriptase,men who have sex with men,replication ability,transmission cluster,human immunodeficiency virus

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