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      Wide spectrum and high frequency of genomic structural variation, including transposable elements, in large double-stranded DNA viruses

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          Abstract

          Our knowledge of the diversity and frequency of genomic structural variation segregating in populations of large double-stranded (ds) DNA viruses is limited. Here, we sequenced the genome of a baculovirus ( Autographa californica multiple nucleopolyhedrovirus [AcMNPV]) purified from beet armyworm ( Spodoptera exigua) larvae at depths >195,000× using both short- (Illumina) and long-read (PacBio) technologies. Using a pipeline relying on hierarchical clustering of structural variants (SVs) detected in individual short- and long-reads by six variant callers, we identified a total of 1,141 SVs in AcMNPV, including 464 deletions, 443 inversions, 160 duplications, and 74 insertions. These variants are considered robust and unlikely to result from technical artifacts because they were independently detected in at least three long reads as well as at least three short reads. SVs are distributed along the entire AcMNPV genome and may involve large genomic regions (30,496 bp on average). We show that no less than 39.9 per cent of genomes carry at least one SV in AcMNPV populations, that the vast majority of SVs (75%) segregate at very low frequency (<0.01%) and that very few SVs persist after ten replication cycles, consistent with a negative impact of most SVs on AcMNPV fitness. Using short-read sequencing datasets, we then show that populations of two iridoviruses and one herpesvirus are also full of SVs, as they contain between 426 and 1,102 SVs carried by 52.4–80.1 per cent of genomes. Finally, AcMNPV long reads allowed us to identify 1,757 transposable elements (TEs) insertions, 895 of which are truncated and occur at one extremity of the reads. This further supports the role of baculoviruses as possible vectors of horizontal transfer of TEs. Altogether, we found that SVs, which evolve mostly under rapid dynamics of gain and loss in viral populations, represent an important feature in the biology of large dsDNA viruses.

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          GenBank

          GenBank® is a comprehensive database that contains publicly available DNA sequences for more than 165 000 named organisms, obtained primarily through submissions from individual laboratories and batch submissions from large-scale sequencing projects. Most submissions are made using the web-based BankIt or standalone Sequin programs and accession numbers are assigned by GenBank staff upon receipt. Daily data exchange with the EMBL Data Library in the UK and the DNA Data Bank of Japan helps to ensure worldwide coverage. GenBank is accessible through NCBI's retrieval system, Entrez, which integrates data from the major DNA and protein sequence databases along with taxonomy, genome, mapping, protein structure and domain information, and the biomedical journal literature via PubMed. BLAST provides sequence similarity searches of GenBank and other sequence databases. Complete bimonthly releases and daily updates of the GenBank database are available by FTP. To access GenBank and its related retrieval and analysis services, go to the NCBI Homepage at http://www.ncbi.nlm.nih.gov.
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            Mutational and fitness landscapes of an RNA virus revealed through population sequencing.

            RNA viruses exist as genetically diverse populations. It is thought that diversity and genetic structure of viral populations determine the rapid adaptation observed in RNA viruses and hence their pathogenesis. However, our understanding of the mechanisms underlying virus evolution has been limited by the inability to accurately describe the genetic structure of virus populations. Next-generation sequencing technologies generate data of sufficient depth to characterize virus populations, but are limited in their utility because most variants are present at very low frequencies and are thus indistinguishable from next-generation sequencing errors. Here we present an approach that reduces next-generation sequencing errors and allows the description of virus populations with unprecedented accuracy. Using this approach, we define the mutation rates of poliovirus and uncover the mutation landscape of the population. Furthermore, by monitoring changes in variant frequencies on serially passaged populations, we determined fitness values for thousands of mutations across the viral genome. Mapping of these fitness values onto three-dimensional structures of viral proteins offers a powerful approach for exploring structure-function relationships and potentially uncovering new functions. To our knowledge, our study provides the first single-nucleotide fitness landscape of an evolving RNA virus and establishes a general experimental platform for studying the genetic changes underlying the evolution of virus populations.
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              fastcluster: Fast Hierarchical, Agglomerative Clustering Routines forRandPython

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                Author and article information

                Journal
                Virus Evol
                Virus Evol
                vevolu
                Virus Evolution
                Oxford University Press
                2057-1577
                January 2020
                27 January 2020
                27 January 2020
                : 6
                : 1
                : vez060
                Affiliations
                [1 ] Laboratoire Evolution, Génomes, Comportement, Écologie, Unité Mixte de Recherche 9191 Centre National de la Recherche Scientifique et Unité Mixte de Recherche 247 Institut de Recherche pour le Développement, Université Paris-Saclay , Gif-sur-Yvette 91198, France
                [2 ] Institut de Recherche sur la Biologie de l'Insecte, UMR 7261 CNRS - Université de Tours , 37200 Tours, France
                [3 ] Laboratoire de Virologie et Mycobactériologie , CHU de Poitiers, 86000 Poitiers, France
                [4 ] Laboratoire Inflammation, Tissus Epithéliaux et Cytokines, EA 4331, Université de Poitiers , 86000 Poitiers, France
                [5 ] Modèles Insectes d’Immunité Innée (M3i), Université de Strasbourg , IBMC CNRS-UPR9022, Strasbourg F-67000, France
                [6 ] Department of Entomology and Institute for Integrative Genome Biology, University of California , Riverside, CA 92521, USA
                [7 ] Laboratoire Ecologie et Biologie des Interactions, Equipe Ecologie Evolution Symbiose, Unité Mixte de Recherche 7267 Centre National de la Recherche Scientifique , Université de Poitiers, 86000 Poitiers, France
                Author notes
                Author information
                http://orcid.org/0000-0002-2131-7467
                Article
                vez060
                10.1093/ve/vez060
                6983493
                32002191
                c45db853-2d4c-49ca-b626-692bce3e30b6
                © The Author(s) 2020. Published by Oxford University Press.

                This 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Pages: 16
                Funding
                Funded by: Agence Nationale de la Recherche 10.13039/501100001665
                Award ID: ANR-15-CE32-0011-01
                Categories
                Research Article

                large double-stranded dna viruses,genomic structural variation,transposable elements,herpesvirus,iridovirus,baculovirus

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