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      Phylogenetic surveillance of travel-related Zika virus infections through whole-genome sequencing methods

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          Abstract

          In 2018, the World Health Organization identified the Zika virus (ZIKV) as a pathogen that should be prioritized for public health research due to its epidemic potential. In this study, whole-genome sequencing (WGS) of travel-acquired ZIKV infections was used to examine the limitations of phylogenetic analysis. WGS and phylogenetic analysis were performed to investigate geographic clustering of samples from five Canadians with travel-acquired ZIKV infections and to assess the limitations of phylogenetic analysis of ZIKV sequences using a phylogenetic cluster approach. Genomic variability of ZIKV samples was assessed and for context, compared with hepatitis C virus (HCV) samples. Phylogenetic analysis confirmed the suspected region of ZIKV infection for one of five samples and one sample failed to cluster with sequences from its suspected country of infection. Travel-acquired ZIKV samples depicted low genomic variability relative to HCV samples. A floating patristic distance threshold classified all pre-2000 ZIKV sequences into separate clusters, while only Cambodian, Peruvian, Malaysian, and South Korean sequences were similarly classifiable. While phylogenetic analysis of ZIKV data can identify the broad geographical region of ZIKV infection, ZIKV’s low genomic variability is likely to limit precise interpretations of phylogenetic analysis of the origins of travel-related cases.

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          Rapid spread of emerging Zika virus in the Pacific area.

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            Genomic epidemiology reveals multiple introductions of Zika virus into the United States

            Zika virus (ZIKV) is causing an unprecedented epidemic linked to severe congenital syndromes 1,2 . In July 2016, mosquito-borne ZIKV transmission was reported in the continental United States and since then, hundreds of locally-acquired infections have been reported in Florida 3,4 . To gain insights into the timing, source, and likely route(s) of ZIKV introduction, we tracked the virus from its first detection in Florida by sequencing ZIKV genomes from infected patients and Aedes aegypti mosquitoes. We show that at least four introductions, but potentially as many as 40, contributed to the outbreak in Florida and that local transmission likely started in the spring of 2016 - several months before initial detection. By analyzing surveillance and genetic data, we discovered that ZIKV moved among transmission zones in Miami. Our analyses show that most introductions are linked to the Caribbean, a finding corroborated by the high incidence rates and traffic volumes from the region into the Miami area. Our study provides an understanding of how ZIKV initiates transmission in new regions.
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              Rapid outbreak sequencing of Ebola virus in Sierra Leone identifies transmission chains linked to sporadic cases

              Abstract To end the largest known outbreak of Ebola virus disease (EVD) in West Africa and to prevent new transmissions, rapid epidemiological tracing of cases and contacts was required. The ability to quickly identify unknown sources and chains of transmission is key to ending the EVD epidemic and of even greater importance in the context of recent reports of Ebola virus (EBOV) persistence in survivors. Phylogenetic analysis of complete EBOV genomes can provide important information on the source of any new infection. A local deep sequencing facility was established at the Mateneh Ebola Treatment Centre in central Sierra Leone. The facility included all wetlab and computational resources to rapidly process EBOV diagnostic samples into full genome sequences. We produced 554 EBOV genomes from EVD cases across Sierra Leone. These genomes provided a detailed description of EBOV evolution and facilitated phylogenetic tracking of new EVD cases. Importantly, we show that linked genomic and epidemiological data can not only support contact tracing but also identify unconventional transmission chains involving body fluids, including semen. Rapid EBOV genome sequencing, when linked to epidemiological information and a comprehensive database of virus sequences across the outbreak, provided a powerful tool for public health epidemic control efforts.
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                Author and article information

                Contributors
                jjoy@cfenet.ubc.ca
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                11 November 2019
                11 November 2019
                2019
                : 9
                : 16433
                Affiliations
                [1 ]ISNI 0000 0001 2288 9830, GRID grid.17091.3e, University of British Columbia, Division of AIDS, Department of Medicine, ; Vancouver, BC Canada
                [2 ]ISNI 0000 0000 8589 2327, GRID grid.416553.0, BC Centre for Excellence in HIV/AIDS, ; Vancouver, BC Canada
                [3 ]ISNI 0000 0001 0352 641X, GRID grid.418246.d, BC Centre for Disease Control Public Health Laboratory, ; Vancouver, BC Canada
                [4 ]ISNI 0000 0001 2288 9830, GRID grid.17091.3e, University of British Columbia, Department of Pathology and Laboratory Medicine, ; Vancouver, BC Canada
                [5 ]ISNI 0000 0001 2288 9830, GRID grid.17091.3e, University of British Columbia, Division of Infectious Diseases, Department of Medicine, ; Vancouver, BC Canada
                Article
                52613
                10.1038/s41598-019-52613-8
                6848190
                31712570
                8fa4bf44-3980-416a-8ae7-2ca9ccd95265
                © The Author(s) 2019

                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/.

                History
                : 21 May 2019
                : 21 October 2019
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                © The Author(s) 2019

                Uncategorized
                phylogenetics,viral infection
                Uncategorized
                phylogenetics, viral infection

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