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http://hdl.handle.net/10397/87653
Title: | Genetic cluster analysis of SARS-CoV-2 and the identification of those responsible for the major outbreaks in various countries | Authors: | Yang, X Dong, N Chan, EWC Chen, S |
Issue Date: | 11-Jun-2020 | Source: | Emerging microbes & infections, 11 June 2020, v. 9, no. 1, p. 1287-1299 | Abstract: | A newly emerged coronavirus, SARS-CoV-2, caused severe pneumonia outbreaks in China in December 2019 and has since spread to various countries around the world. To trace the evolution route and probe the transmission dynamics of this virus, we performed phylodynamic analysis of 247 high quality genomic sequences available in the GISAID platform as of 5 March 2020. Among them, four genetic clusters, defined as super-spreaders (SSs), could be identified and were found to be responsible for the major outbreaks that subsequently occurred in various countries. SS1 was widely disseminated in Asia and the US, and mainly responsible for outbreaks in the states of Washington and California as well as South Korea, whereas SS4 contributed to the pandemic in Europe. Using the signature mutations of each SS as markers, we further analysed 1539 genome sequences reported after 29 February 2020 and found that 90% of these genomes belonged to SSs, with SS4 being the most dominant. The relative degree of contribution of each SS to the pandemic in different continents was also depicted. Identification of these super-spreaders greatly facilitates development of new strategies to control the transmission of SARS-CoV-2. | Keywords: | COVID-19 Phylodynamic analysis SARS-CoV-2 Super-spreader transmission |
Publisher: | Nature Publishing Group | Journal: | Emerging microbes & infections | EISSN: | 2222-1751 | DOI: | 10.1080/22221751.2020.1773745 | Rights: | © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., LtdThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The following publication Yang, X., Dong, N., Chan, E. W. C., & Chen, S. (2020). Genetic cluster analysis of SARS-CoV-2 and the identification of those responsible for the major outbreaks in various countries. Emerging Microbes & Infections, 9(1), 1287-1299 is available at https://dx.doi.org/10.1080/22221751.2020.1773745 |
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