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      Heptad stereotypy, S/Q layering, and remote origin of the SARS-CoV-2 fusion core

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          Abstract

          The fusion of the SARS-CoV-2 virus with cells, a key event in the pathogenesis of Covid-19, depends on the assembly of a six-helix fusion core (FC) formed by portions of the spike protein heptad repeats (HRs) 1 and 2. Despite the critical role in regulating infectivity, its distinctive features, origin, and evolution are scarcely understood. Thus, we undertook a structure-guided positional and compositional analysis of the SARS-CoV-2 FC, in comparison with FCs of related viruses, tracing its origin and ongoing evolution. We found that clustered amino acid substitutions within HR1, distinguishing SARS-CoV-2 from SARS-CoV-1, enhance local heptad stereotypy and increase sharply the FC serine-to-glutamine (S/Q) ratio, determining a neat alternate layering of S-rich and Q-rich subdomains along the post-fusion structure. Strikingly, SARS-CoV-2 ranks among viruses with the highest FC S/Q ratio, together with highly syncytiogenic respiratory pathogens (RSV, NDV), whereas MERS-Cov, HIV, and Ebola viruses display low ratios, and this feature reflects onto S/Q segregation and H-bonding patterns. Our evolutionary analyses revealed that the SARS-CoV-2 FC occurs in other SARS-CoV-1-like Sarbecoviruses identified since 2005 in Hong Kong and adjacent regions, tracing its origin to >50 years ago with a recombination-driven spread. Finally, current mutational trends show that the FC is varying especially in the FC1 evolutionary hotspot. These findings establish a novel analytical framework illuminating the sequence/structure evolution of the SARS-CoV-2 FC, tracing its long history within Sarbecoviruses, and may help rationalize the evolution of the fusion machinery in emerging pathogens and the design of novel therapeutic fusion inhibitors.

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          Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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            The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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              UCSF Chimera--a visualization system for exploratory research and analysis.

              The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. Copyright 2004 Wiley Periodicals, Inc.
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                Author and article information

                Contributors
                Journal
                Virus Evol
                Virus Evol
                vevolu
                Virus Evolution
                Oxford University Press (UK )
                2057-1577
                January 2022
                15 December 2021
                15 December 2021
                : 7
                : 2
                : veab097
                Affiliations
                departmentRita Levi Montalcini Department of Neuroscience, University of Torino , Corso Raffaello 30, Torino 10125, Italy
                departmentRita Levi Montalcini Department of Neuroscience, University of Torino , Corso Raffaello 30, Torino 10125, Italy
                Istituto Zooprofilattico Sperimentale (IZS) del Piemonte, Liguria e Valle d’Aosta, Via Bologna 148, Torino 10148, Italy
                departmentDepartment of Life Sciences and Systems Biology (DBIOS), University of Torino , Via Accademia Albertina 13, Torino 10123, Italy
                departmentDivision of Neuroscience, IRCCS San Raffaele Scientific Institute , Via Olgettina 60, Milano 20132, Italy
                departmentSchool of Medicine, Vita-Salute San Raffaele University , Via Olgettina 58, Milano 20132, Italy
                departmentRita Levi Montalcini Department of Neuroscience, University of Torino , Corso Raffaello 30, Torino 10125, Italy
                departmentNational Institute of Neuroscience (INN), University of Torino , Corso Raffaello 30, Torino 10125, Italy
                departmentRita Levi Montalcini Department of Neuroscience, University of Torino , Corso Raffaello 30, Torino 10125, Italy
                departmentNational Institute of Neuroscience (INN), University of Torino , Corso Raffaello 30, Torino 10125, Italy
                Author notes
                *Corresponding author: E-mail: ferdinando.fiumara@ 123456unito.it
                [†]

                Chiara Marchetti and Serena Vaglietti contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-1088-8421
                https://orcid.org/0000-0002-7660-0761
                https://orcid.org/0000-0002-9699-5318
                https://orcid.org/0000-0003-0715-7863
                Article
                veab097
                10.1093/ve/veab097
                8754743
                35039783
                84c7ae49-6f02-4432-8e95-5fe4fc2e7862
                © The Author(s) 2022. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 May 2021
                : 24 October 2021
                : 23 November 2021
                : 09 November 2021
                : 05 January 2022
                Page count
                Pages: 23
                Funding
                Funded by: Università degli Studi di Torino, DOI 10.13039/501100006692;
                Award ID: RiLo-2019
                Categories
                Research Article
                AcademicSubjects/MED00860
                AcademicSubjects/SCI01130
                AcademicSubjects/SCI02285

                sars-cov-2 spike protein,covid-19,coiled-coil 6-helix bundle fusion core,heptad stereotypy,serine-rich,sars-cov-2 origin

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