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      First COVID-19 Case in Zambia – Comparative phylogenomic analyses of SARS-CoV-2 detected in African countries

      research-article
      a , b , 1 , c , c , b , b , b , d , c , c , e , f , e , c , c , c , c , g , g , g , c , g , g , g , g , g , g , g , g , g , h , h , e , b , b , b , c , g , 1 , i , 1 , g , * , 1
      International Journal of Infectious Diseases
      Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
      Zambia, COVID-19, SARS-CoV-2, Phylogenetic analyses, Diagnosis

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          Highlights

          • Whilst African countries were relatively spared initially when COVID-19 was first reported from China, the frequent travel links between China, Europe and Africa, meant importation of SARS-CoV-2 into Africa was inescapable.

          • In preparation, Zambia had applied a multisectoral national epidemic disease surveillance and response system resulting in the identification of the first case within 48 hours of the individual entering the country by air travel from a trip to France.

          • Phylogenomic analysis showed that the detected SARS-CoV-2 belonged to lineage B.1.1., sharing the last common ancestor with SARS-CoV-2 strains recovered from South Africa.

          • At the African continental level, our analysis showed that lineage B.1 and B.1.1 lineages appear to be predominant in Africa.

          • Whole genome sequence analysis should be part of all surveillance activities to monitor the origin and evolution of SARS-CoV-2 lineages across Africa.

          Abstract

          Since its first discovery in December 2019 in Wuhan, China, COVID-19, caused by the novel coronavirus SARS-CoV-2, has spread rapidly worldwide. Whilst African countries were relatively spared initially, the initial low incidence of COVID-19 cases was not sustained for long due to continuing travel links between China, Europe and Africa.. In preparation, Zambia had applied a multisectoral national epidemic disease surveillance and response system resulting in the identification of the first case within 48 hours of the individual entering the country by air travel from a trip to France. Contact tracing showed that SARS-CoV-2 infection was contained within the patient’s household, with no further spread to attending health care workers or community members. Phylogenomic analysis of the patient’s SARS-CoV-2 strain showed it belonged to lineage B.1.1., sharing the last common ancestor with SARS-CoV-2 strains recovered from South Africa. At the African continental level, our analysis showed that lineage B.1 and B.1.1 lineages appear to be predominant in Africa. Whole genome sequence analysis should be part of all surveillance and case detection activities in order to monitor the origin and evolution of SARS-CoV-2 lineages across Africa.

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          Most cited references23

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          Is Open Access

          Interactive Tree Of Life (iTOL) v4: recent updates and new developments

          Abstract The Interactive Tree Of Life (https://itol.embl.de) is an online tool for the display, manipulation and annotation of phylogenetic and other trees. It is freely available and open to everyone. The current version introduces four new dataset types, together with numerous new features. Annotation options have been expanded and new control options added for many display elements. An interactive spreadsheet-like editor has been implemented, providing dataset creation and editing directly in the web interface. Font support has been rewritten with full support for UTF-8 character encoding throughout the user interface. Google Web Fonts are now fully supported in the tree text labels. iTOL v4 is the first tool which supports direct visualization of Qiime 2 trees and associated annotations. The user account system has been streamlined and expanded with new navigation options, and currently handles >700 000 trees from more than 40 000 individual users. Full batch access has been implemented allowing programmatic upload and export of trees and annotations.
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            Is Open Access

            MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization

            Abstract This article describes several features in the MAFFT online service for multiple sequence alignment (MSA). As a result of recent advances in sequencing technologies, huge numbers of biological sequences are available and the need for MSAs with large numbers of sequences is increasing. To extract biologically relevant information from such data, sophistication of algorithms is necessary but not sufficient. Intuitive and interactive tools for experimental biologists to semiautomatically handle large data are becoming important. We are working on development of MAFFT toward these two directions. Here, we explain (i) the Web interface for recently developed options for large data and (ii) interactive usage to refine sequence data sets and MSAs.
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              • Article: not found

              A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology

              The ongoing pandemic spread of a novel human coronavirus, SARS-COV-2, associated with severe pneumonia disease (COVID-19), has resulted in the generation of tens of thousands of virus genome sequences. The rate of genome generation is unprecedented, yet there is currently no coherent nor accepted scheme for naming the expanding phylogenetic diversity of SARS-CoV-2. We present a rational and dynamic virus nomenclature that uses a phylogenetic framework to identify those lineages that contribute most to active spread. Our system is made tractable by constraining the number and depth of hierarchical lineage labels and by flagging and de-labelling virus lineages that become unobserved and hence are likely inactive. By focusing on active virus lineages and those spreading to new locations this nomenclature will assist in tracking and understanding the patterns and determinants of the global spread of SARS-CoV-2.
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                Author and article information

                Journal
                Int J Infect Dis
                Int J Infect Dis
                International Journal of Infectious Diseases
                Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
                1201-9712
                1878-3511
                6 October 2020
                6 October 2020
                Affiliations
                [a ]Macha Research Trust, Choma, Zambia
                [b ]University of Zambia, School of Veterinary Medicine, Lusaka, Zambia
                [c ]Ministry of Health, Lusaka, Zambia
                [d ]University of Zambia, School of Health Sciences, Lusaka, Zambia
                [e ]Hokkaido University, Research Centre for Zoonosis Control, Sapporo, Japan
                [f ]Copperbelt University, School of Natural Resources, Kitwe, Zambia
                [g ]Zambia National Public Health Institute, Ministry of Health, Lusaka, Zambia
                [h ]HerpeZ and UNZA-UCLMS Project, University Teaching Hospital, Lusaka, Zambia
                [i ]Division of Infection and Immunity, CCM, University College London, University College London Hospitals NHS Foundation Trust NIHR Biomedical Research Centre, London, United Kingdom
                Author notes
                [* ]Corresponding author.
                [1]

                Contributed equally

                Article
                S1201-9712(20)32196-2
                10.1016/j.ijid.2020.09.1480
                7537667
                33035675
                bae4243b-5ab4-4c9f-928f-5dba53a24aac
                © 2020 Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 14 September 2020
                : 29 September 2020
                : 30 September 2020
                Categories
                Article

                Infectious disease & Microbiology
                zambia,covid-19,sars-cov-2,phylogenetic analyses,diagnosis
                Infectious disease & Microbiology
                zambia, covid-19, sars-cov-2, phylogenetic analyses, diagnosis

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