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      Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil

      research-article
      1 , 2 , 3 , 4 , * , 1 , 2 , 1 , 2 , 3 , 5 , 3 , 4 , 1 , 2 , 6 , 7 , 3 , 5 , 1 , 2 , 8 , 9 , 3 , 5 , 3 , 5 , 3 , 5 , 10 , 3 , 5 , 11 , 3 , 5 , 3 , 5 , 12 , 13 , 4 , 14 , 14 , 15 , 16 , 3 , 5 , 3 , 5 , 3 , 5 , 17 , 18 , 18 , 18 , 18 , 18 , 19 , 1 , 2 , 1 , 2 , 15 , 20 , 20 , 20 , 20 , 20 , 21 , 22 , 23 , 24 , 25 , 15 , 15 , 1 , 2 , 1 , 2 , 1 , 2 , 15 , 26 , 26 , 27 , 9 , 28 , 29 , 15 , 1 , 2 , 4 , 30 , 31 , 8 , 6 , 32 , 6 , 33 , 4 , 34 , 15 , 1 , 2 , 35 , * , 3 , 5 , *
      Science (New York, N.y.)
      American Association for the Advancement of Science

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          Unmitigated spread in Brazil

          Despite an extensive network of primary care availability, Brazil has suffered profoundly during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Using daily data from state health offices, Castro et al. analyzed the pattern of spread of COVID-19 cases and deaths in the country from February to October 2020. Clusters of deaths before cases became apparent indicated unmitigated spread. SARS-CoV-2 circulated undetected in Brazil for more than a month as it spread north from S o Paulo. In Manaus, transmission reached unprecedented levels after a momentary respite in mid-2020. Faria et al. tracked the evolution of a new, more aggressive lineage called P.1, which has 17 mutations, including three (K417T, E484K, and N501Y) in the spike protein. After a period of accelerated evolution, this variant emerged in Brazil during November 2020. Coupled with the emergence of P.1, disease spread was accelerated by stark local inequalities and political upheaval, which compromised a prompt federal response.

          Science, abh1558 and abh2644, this issue p. [Related article:]821 and p. 815

          Abstract

          A variant lineage of SARS-CoV-2 associated with rapid transmission in Manaus, Brazil, evolved in November 2020 with immune escape characteristics.

          Abstract

          Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in Manaus, Brazil, resurged in late 2020 despite previously high levels of infection. Genome sequencing of viruses sampled in Manaus between November 2020 and January 2021 revealed the emergence and circulation of a novel SARS-CoV-2 variant of concern. Lineage P.1 acquired 17 mutations, including a trio in the spike protein (K417T, E484K, and N501Y) associated with increased binding to the human ACE2 (angiotensin-converting enzyme 2) receptor. Molecular clock analysis shows that P.1 emergence occurred around mid-November 2020 and was preceded by a period of faster molecular evolution. Using a two-category dynamical model that integrates genomic and mortality data, we estimate that P.1 may be 1.7- to 2.4-fold more transmissible and that previous (non-P.1) infection provides 54 to 79% of the protection against infection with P.1 that it provides against non-P.1 lineages. Enhanced global genomic surveillance of variants of concern, which may exhibit increased transmissibility and/or immune evasion, is critical to accelerate pandemic responsiveness.

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          Most cited references72

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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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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              IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

              Abstract IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models of sequence evolution and efficient computational approaches of phylogenetic inference to deal with genomic data. Here, we describe notable features of IQ-TREE version 2 and highlight the key advantages over other software.
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                Author and article information

                Journal
                Science
                Science
                SCIENCE
                science
                Science (New York, N.y.)
                American Association for the Advancement of Science
                0036-8075
                1095-9203
                21 May 2021
                14 April 2021
                : 372
                : 6544
                : 815-821
                Affiliations
                [1 ]MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
                [2 ]The Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.
                [3 ]Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de So Paulo, So Paulo, Brazil.
                [4 ]Department of Zoology, University of Oxford, Oxford, UK.
                [5 ]Departamento de Molstias Infecciosas e Parasitrias, Faculdade de Medicina da Universidade de So Paulo, So Paulo, Brazil.
                [6 ]Fundao Hospitalar de Hematologia e Hemoterapia, Manaus, Brazil.
                [7 ]Diretoria de Ensino e Pesquisa, Fundao Hospitalar de Hematologia e Hemoterapia, Manaus, Brazil.
                [8 ]Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.
                [9 ]Division of Structural Biology, Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
                [10 ]Departamento de Epidemiologia, Faculdade de Sade Pblica da Universidade de So Paulo, Sao Paulo, Brazil.
                [11 ]Laboratrio de Virologia, Instituto de Cincias Biomdicas, Universidade Federal de Uberlndia, Uberlndia, Brazil.
                [12 ]Institute for Applied Economic ResearchIpea, Braslia, Brazil.
                [13 ]Institute of Mathematics and Statistics, University of So Paulo, So Paulo, Brazil.
                [14 ]DB Diagnsticos do Brasil, So Paulo, Brazil.
                [15 ]Department of Mathematics, Imperial College London, London, UK.
                [16 ]Virology Research Centre, Ribeiro Preto Medical School, University of So Paulo, Ribeiro Preto, SP, Brazil.
                [17 ]Laboratory of Quantitative Pathology, Center of Pathology, Adolfo Lutz Institute, So Paulo, Brazil.
                [18 ]Instituto Hermes Pardini, Belo Horizonte, Brazil.
                [19 ]Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
                [20 ]CDL Laboratrio Santos e Vidal, Manaus, Brazil.
                [21 ]Departamento de Gentica, Ecologia e Evoluo, Instituto de Cincias Biolgicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
                [22 ]Laboratory of Emerging Viruses, Department of Genetics, Evolution, Microbiology, and Immunology, Institute of Biology, University of Campinas (UNICAMP), So Paulo, Brazil.
                [23 ]Instituto Nacional de Pesquisas da Amaznia, Manaus, Brazil.
                [24 ]Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
                [25 ]Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
                [26 ]Departamento de Engenharia de Sistemas Eletrnicos, Escola Politcnica da Universidade de So Paulo, So Paulo, Brazil.
                [27 ]Department of Biomathematics, Department of Biostatistics, and Department of Human Genetics, University of California, Los Angeles, CA, USA.
                [28 ]Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA.
                [29 ]Mathematical Sciences, University of Southampton, Southampton, UK.
                [30 ]Institute for Microbiology and Infection, University of Birmingham, Birmingham, UK.
                [31 ]Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.
                [32 ]Diretoria Clnica, Fundao Hospitalar de Hematologia e Hemoterapia do Amazonas, Manaus, Brazil.
                [33 ]Diretoria da Presidncia, Fundao Hospitalar de Hematologia e Hemoterapia do Amazonas, Manaus, Brazil.
                [34 ]Department of Pathobiology and Population Sciences, The Royal Veterinary College, London, UK.
                [35 ]Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
                Author notes
                []

                These authors contributed equally to this work.

                []

                These authors contributed equally to this work.

                [* ]Corresponding author. Email: n.faria@ 123456imperial.ac.uk (N.R.F.); samir.bhatt@ 123456sund.ku.dk (S.B.); sabinoec@ 123456usp.br (E.S.C.)
                Author information
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                Article
                abh2644
                10.1126/science.abh2644
                8139423
                33853970
                30fa922a-4304-4953-a9cc-ddfef24fbf7e
                Copyright 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 February 2021
                : 11 April 2021
                Funding
                Funded by: doi http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MR/S0195/1
                Funded by: doi http://dx.doi.org/10.13039/501100000272, National Institute for Health Research;
                Award ID: 203141/Z/16/Z
                Funded by: doi http://dx.doi.org/10.13039/501100000272, National Institute for Health Research;
                Award ID: MR/S007555/1
                Funded by: doi http://dx.doi.org/10.13039/501100000272, National Institute for Health Research;
                Award ID: ALTF 869-2019
                Funded by: doi http://dx.doi.org/10.13039/501100000272, National Institute for Health Research;
                Award ID: OPP1175094
                Funded by: doi http://dx.doi.org/10.13039/501100000272, National Institute for Health Research;
                Award ID: 2018/12579-7 CNP
                Funded by: Wellcome Trust and Royal Society;
                Award ID: 204311/Z/16/Z
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                Epidemiology
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