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      Recurrent emergence of SARS-CoV-2 spike deletion H69/V70 and its role in the Alpha variant B.1.1.7

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          Abstract

          <p class="first" id="d2524598e432">We report SARS-CoV-2 spike ΔH69/V70 in multiple independent lineages, often occurring after acquisition of the receptor binding motif replacements such as N439K and Y453F known to increase binding affinity to the ACE2 receptor and confer antibody escape. <i>In vitro</i>, we show that whilst ΔH69/V70 itself is not an antibody evasion mechanism, it increases infectivity associated with enhanced incorporation of cleaved spike into virions. ΔH69/V70 is able to partially rescue infectivity of S proteins that have acquired N439K and Y453F escape mutations by increased spike incorporation. In addition, replacement of H69 and V70 residues in B.1.1.7 spike (where ΔH69/V70 naturally occurs) impairs spike incorporation and entry efficiency of B.1.1.7 spike pseudotyped virus. B.1.1.7 spike mediates faster kinetics of cell-cell fusion than wild type Wuhan-1 D614G, dependent on ΔH69/V70. Therefore, as ΔH69/V70 compensates for immune escape mutations that impair infectivity, continued surveillance for deletions with functional effects is warranted. </p><div class="fig panel" id="undfig1"> <a class="named-anchor" id="undfig1"> <!-- named anchor --> </a> <div class="figure-container so-text-align-c"> <img alt="" class="figure" src="/document_file/f0a1b35c-ae09-4c50-a5fe-4a98a1700d14/PubMedCentral/image/fx1_lrg"/> </div> <div class="panel-content"/> </div><p class="first" id="d2524598e443">Meng et al. report that the SARS-CoV-2 spike ΔH69/V70 deletion has arisen multiple times. The deletion increases entry efficiency, is associated with increased cleaved spike in virions and can compensate for loss of infectivity. The B.1.1.7 spike requires the ΔH69/V70 deletion for efficient cell entry and cell-cell fusion activity. </p>

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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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              ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates

              Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection method that greatly improves the accuracy of phylogenetic estimates. The improvement is achieved by incorporating a model of rate-heterogeneity across sites not previously considered in this context, and by allowing concurrent searches of model-space and tree-space.
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                Author and article information

                Journal
                Cell Reports
                Cell Reports
                Elsevier BV
                22111247
                June 2021
                June 2021
                : 35
                : 13
                : 109292
                Article
                10.1016/j.celrep.2021.109292
                0992932c-2d97-4afd-8da4-b5ffc6b0d0b5
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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