2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Phylogeographic Analyses Reveal the Early Expansion and Frequent Bidirectional Cross-Border Transmissions of Non-pandemic HIV-1 Subtype B Strains in Hispaniola

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The human immunodeficiency virus-type 1 (HIV-1) subtype B has probably been circulating on the island of Hispaniola since the 1960s, but information about the early viral history on this Caribbean island is scarce. In this study, we reconstruct the dissemination dynamics of early divergent non-pandemic subtype B lineages (designated B CAR) on Hispaniola by analyzing a country-balanced dataset of HIV-1 B CAR pol sequences from Haiti ( n = 103) and the Dominican Republic ( n = 123). Phylogenetic analyses supported that B CAR strains from Haiti and the Dominican Republic were highly intermixed between each other, although the null hypothesis of completely random mixing was rejected. Bayesian phylogeographic analyses placed the ancestral B CAR virus in Haiti and the Dominican Republic with the same posterior probability support. These analyses estimate frequent viral transmissions between Haiti and the Dominican Republic since the early 1970s onwards, and the presence of local B CAR transmission networks in both countries before first AIDS cases was officially recognized. Demographic reconstructions point that the B CAR epidemic in Hispaniola grew exponentially until the 1990s. These findings support that the HIV-1 epidemics in Haiti and the Dominican Republic have been connected by a recurrent bidirectional viral flux since the initial phase, which poses a great challenge in tracing the geographic origin of the B CAR epidemic within Hispaniola using only genetic data. These data also reinforce the notion that prevention programs have successfully reduced the rate of new HIV-1 transmissions in Hispaniola since the end of the 1990s.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: found
          • Article: not found

          PHYML Online—a web server for fast maximum likelihood-based phylogenetic inference

          PHYML Online is a web interface to PHYML, a software that implements a fast and accurate heuristic for estimating maximum likelihood phylogenies from DNA and protein sequences. This tool provides the user with a number of options, e.g. nonparametric bootstrap and estimation of various evolutionary parameters, in order to perform comprehensive phylogenetic analyses on large datasets in reasonable computing time. The server and its documentation are available at .
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A modified bootscan algorithm for automated identification of recombinant sequences and recombination breakpoints.

            We have developed a modified BOOTSCAN algorithm that may be used to screen nucleotide sequence alignments for evidence of recombination without prior identification of nonrecombinant reference sequences. The algorithm is fast and includes a Bonferroni corrected statistical test of recombination to circumvent the multiple testing problems encountered when using the BOOTSCAN method to explore alignments for evidence of recombination. Using both simulated and real datasets we demonstrate that the modified algorithm is more powerful than other phylogenetic recombination detection methods and performs almost as well as one of the best substitution distribution recombination detection methods.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Estimating mutation parameters, population history and genealogy simultaneously from temporally spaced sequence data.

              Molecular sequences obtained at different sampling times from populations of rapidly evolving pathogens and from ancient subfossil and fossil sources are increasingly available with modern sequencing technology. Here, we present a Bayesian statistical inference approach to the joint estimation of mutation rate and population size that incorporates the uncertainty in the genealogy of such temporally spaced sequences by using Markov chain Monte Carlo (MCMC) integration. The Kingman coalescent model is used to describe the time structure of the ancestral tree. We recover information about the unknown true ancestral coalescent tree, population size, and the overall mutation rate from temporally spaced data, that is, from nucleotide sequences gathered at different times, from different individuals, in an evolving haploid population. We briefly discuss the methodological implications and show what can be inferred, in various practically relevant states of prior knowledge. We develop extensions for exponentially growing population size and joint estimation of substitution model parameters. We illustrate some of the important features of this approach on a genealogy of HIV-1 envelope (env) partial sequences.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                26 June 2019
                2019
                : 10
                : 1340
                Affiliations
                [1] 1 Laboratório de AIDS e Imunologia Molecular, Instituto Oswaldo Cruz, FIOCRUZ , Rio de Janeiro, Brazil
                [2] 2 Laboratoire des Interactions Virus-Hôtes, Institut Pasteur de la Guyane , Cayenne, French Guiana
                [3] 3 Virology Laboratory, EA 4537, Martinique University Hospital , Fort de France, Martinique
                [4] 4 Laboratoire National de Santé Publique, Ministère de la Santé Publique et de la Population , Port-au-Prince, Haiti
                [5] 5 Training Unit, GHESKIO Centers , Port-au-Prince, Haiti
                [6] 6 Coordination Régionale de la lutte contre le VIH (COREVIH) and Centre d’Investigation Clinique—CIC INSERM 1424, Centre Hospitalier de Cayenne “Andrée Rosemon” , Cayenne, French Guiana
                Author notes

                Edited by: Joris Hemelaar, University of Oxford, United Kingdom

                Reviewed by: Shigeyoshi Harada, National Institute of Infectious Diseases (NIID), Japan; Maja Stanojevic, University of Belgrade, Serbia; Bram Vrancken, KU Leuven, Belgium

                *Correspondence: Georges Dos Santos, georges.dos-santos@ 123456chu-martinique.fr

                This article was submitted to Virology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2019.01340
                6622406
                b015f7a3-fe53-4cf4-a389-cfb16721f335
                Copyright © 2019 Bello, Arantes, Lacoste, Ouka, Boncy, Césaire, Liautaud, Nacher and Dos Santos.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 September 2018
                : 29 May 2019
                Page count
                Figures: 3, Tables: 0, Equations: 0, References: 48, Pages: 8, Words: 5915
                Funding
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES-Brazil) 10.13039/501100002322
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico—CNPq
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                hiv-1,subtype b,non-pandemic,origin,phylodynamics,haiti,dominican republic
                Microbiology & Virology
                hiv-1, subtype b, non-pandemic, origin, phylodynamics, haiti, dominican republic

                Comments

                Comment on this article