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      Evolutionary and structural analyses of SARS-CoV-2 D614G spike protein mutation now documented worldwide

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          Abstract

          The COVID-19 pandemic, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), was declared on March 11, 2020 by the World Health Organization. As of the 31st of May, 2020, there have been more than 6 million COVID-19 cases diagnosed worldwide and over 370,000 deaths, according to Johns Hopkins. Thousands of SARS-CoV-2 strains have been sequenced to date, providing a valuable opportunity to investigate the evolution of the virus on a global scale. We performed a phylogenetic analysis of over 1,225 SARS-CoV-2 genomes spanning from late December 2019 to mid-March 2020. We identified a missense mutation, D614G, in the spike protein of SARS-CoV-2, which has emerged as a predominant clade in Europe (954 of 1,449 (66%) sequences) and is spreading worldwide (1,237 of 2,795 (44%) sequences). Molecular dating analysis estimated the emergence of this clade around mid-to-late January (10–25 January) 2020. We also applied structural bioinformatics to assess the potential impact of D614G on the virulence and epidemiology of SARS-CoV-2. In silico analyses on the spike protein structure suggests that the mutation is most likely neutral to protein function as it relates to its interaction with the human ACE2 receptor. The lack of clinical metadata available prevented our investigation of association between viral clade and disease severity phenotype. Future work that can leverage clinical outcome data with both viral and human genomic diversity is needed to monitor the pandemic.

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          A Novel Coronavirus from Patients with Pneumonia in China, 2019

          Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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            MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

            We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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              A pneumonia outbreak associated with a new coronavirus of probable bat origin

              Since the outbreak of severe acute respiratory syndrome (SARS) 18 years ago, a large number of SARS-related coronaviruses (SARSr-CoVs) have been discovered in their natural reservoir host, bats 1–4 . Previous studies have shown that some bat SARSr-CoVs have the potential to infect humans 5–7 . Here we report the identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China. The epidemic, which started on 12 December 2019, had caused 2,794 laboratory-confirmed infections including 80 deaths by 26 January 2020. Full-length genome sequences were obtained from five patients at an early stage of the outbreak. The sequences are almost identical and share 79.6% sequence identity to SARS-CoV. Furthermore, we show that 2019-nCoV is 96% identical at the whole-genome level to a bat coronavirus. Pairwise protein sequence analysis of seven conserved non-structural proteins domains show that this virus belongs to the species of SARSr-CoV. In addition, 2019-nCoV virus isolated from the bronchoalveolar lavage fluid of a critically ill patient could be neutralized by sera from several patients. Notably, we confirmed that 2019-nCoV uses the same cell entry receptor—angiotensin converting enzyme II (ACE2)—as SARS-CoV.
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                Author and article information

                Contributors
                Sandra.Isabel@sickkids.ca
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                20 August 2020
                20 August 2020
                2020
                : 10
                : 14031
                Affiliations
                [1 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Infectious Diseases Division, Department of Paediatrics, The Hospital for Sick Children, , University of Toronto, ; Toronto, ON Canada
                [2 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Centre for the Analysis of Genome Evolution and Function, , University of Toronto, ; Toronto, ON Canada
                [3 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Department of Cell and Systems Biology, , University of Toronto, ; Toronto, ON Canada
                [4 ]Layer 6 AI, Toronto, ON Canada
                [5 ]GRID grid.23856.3a, ISNI 0000 0004 1936 8390, Département de mathématique, , Université Laval, ; Québec City, Canada
                [6 ]GRID grid.415400.4, ISNI 0000 0001 1505 2354, Public Health Ontario, ; Toronto, ON Canada
                [7 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Department of Laboratory Medicine and Pathobiology, , University of Toronto, ; Toronto, ON Canada
                [8 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Department of Medicine, , University of Toronto, ; Toronto, ON Canada
                [9 ]Department of Microbiology, University Health System/Sinai Health, Toronto, ON Canada
                Article
                70827
                10.1038/s41598-020-70827-z
                7441380
                32820179
                d62c1f6c-1fba-43fa-ab3c-4161442f31f3
                © The Author(s) 2020

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 5 June 2020
                : 30 July 2020
                Funding
                Funded by: Canadian Institutes of Health Research
                Funded by: FundRef https://doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: CP-151952
                Funded by: Public Health Ontario, Canada
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                microbial genetics,infectious diseases,evolutionary genetics
                Uncategorized
                microbial genetics, infectious diseases, evolutionary genetics

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