Myocarditis Caused by Naturally Acquired Canine Distemper Virus
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2020 Taxonomic Update for Phylum Negarnaviricota (Riboviria: Orthornavirae), Including the Large Orders Bunyavirales and Mononegavirales
Archives of Virology https://doi.org/10.1007/s00705-020-04731-2 VIROLOGY DIVISION NEWS 2020 taxonomic update for phylum Negarnaviricota (Riboviria: Orthornavirae), including the large orders Bunyavirales and Mononegavirales Jens H. Kuhn1 · Scott Adkins2 · Daniela Alioto3 · Sergey V. Alkhovsky4 · Gaya K. Amarasinghe5 · Simon J. Anthony6,7 · Tatjana Avšič‑Županc8 · María A. Ayllón9,10 · Justin Bahl11 · Anne Balkema‑Buschmann12 · Matthew J. Ballinger13 · Tomáš Bartonička14 · Christopher Basler15 · Sina Bavari16 · Martin Beer17 · Dennis A. Bente18 · Éric Bergeron19 · Brian H. Bird20 · Carol Blair21 · Kim R. Blasdell22 · Steven B. Bradfute23 · Rachel Breyta24 · Thomas Briese25 · Paul A. Brown26 · Ursula J. Buchholz27 · Michael J. Buchmeier28 · Alexander Bukreyev18,29 · Felicity Burt30 · Nihal Buzkan31 · Charles H. Calisher32 · Mengji Cao33,34 · Inmaculada Casas35 · John Chamberlain36 · Kartik Chandran37 · Rémi N. Charrel38 · Biao Chen39 · Michela Chiumenti40 · Il‑Ryong Choi41 · J. Christopher S. Clegg42 · Ian Crozier43 · John V. da Graça44 · Elena Dal Bó45 · Alberto M. R. Dávila46 · Juan Carlos de la Torre47 · Xavier de Lamballerie38 · Rik L. de Swart48 · Patrick L. Di Bello49 · Nicholas Di Paola50 · Francesco Di Serio40 · Ralf G. Dietzgen51 · Michele Digiaro52 · Valerian V. Dolja53 · Olga Dolnik54 · Michael A. Drebot55 · Jan Felix Drexler56 · Ralf Dürrwald57 · Lucie Dufkova58 · William G. Dundon59 · W. Paul Duprex60 · John M. Dye50 · Andrew J. Easton61 · Hideki Ebihara62 · Toufc Elbeaino63 · Koray Ergünay64 · Jorlan Fernandes195 · Anthony R. Fooks65 · Pierre B. H. Formenty66 · Leonie F. Forth17 · Ron A. M. Fouchier48 · Juliana Freitas‑Astúa67 · Selma Gago‑Zachert68,69 · George Fú Gāo70 · María Laura García71 · Adolfo García‑Sastre72 · Aura R. Garrison50 · Aiah Gbakima73 · Tracey Goldstein74 · Jean‑Paul J. Gonzalez75,76 · Anthony Grifths77 · Martin H. Groschup12 · Stephan Günther78 · Alexandro Guterres195 · Roy A. -
Taxonomy of the Order Mononegavirales: Second Update 2018
Archives of Virology (2019) 164:1233–1244 https://doi.org/10.1007/s00705-018-04126-4 VIROLOGY DIVISION NEWS Taxonomy of the order Mononegavirales: second update 2018 Piet Maes1 · Gaya K. Amarasinghe2 · María A. Ayllón3,4 · Christopher F. Basler5 · Sina Bavari6 · Kim R. Blasdell7 · Thomas Briese8 · Paul A. Brown9 · Alexander Bukreyev10 · Anne Balkema‑Buschmann11 · Ursula J. Buchholz12 · Kartik Chandran13 · Ian Crozier14 · Rik L. de Swart15 · Ralf G. Dietzgen16 · Olga Dolnik17 · Leslie L. Domier18 · Jan F. Drexler19 · Ralf Dürrwald20 · William G. Dundon21 · W. Paul Duprex22 · John M. Dye6 · Andrew J. Easton23 · Anthony R. Fooks24 · Pierre B. H. Formenty25 · Ron A. M. Fouchier15 · Juliana Freitas‑Astúa26 · Elodie Ghedin27 · Anthony Grifths28 · Roger Hewson29 · Masayuki Horie30 · Julia L. Hurwitz31 · Timothy H. Hyndman32 · Dàohóng Jiāng33 · Gary P. Kobinger34 · Hideki Kondō35 · Gael Kurath36 · Ivan V. Kuzmin37 · Robert A. Lamb38,39 · Benhur Lee40 · Eric M. Leroy41 · Jiànróng Lǐ42 · Shin‑Yi L. Marzano43 · Elke Mühlberger28 · Sergey V. Netesov44 · Norbert Nowotny45,46 · Gustavo Palacios6 · Bernadett Pályi47 · Janusz T. Pawęska48 · Susan L. Payne49 · Bertus K. Rima50 · Paul Rota51 · Dennis Rubbenstroth52 · Peter Simmonds53 · Sophie J. Smither54 · Qisheng Song55 · Timothy Song27 · Kirsten Spann56 · Mark D. Stenglein57 · David M. Stone58 · Ayato Takada59 · Robert B. Tesh10 · Keizō Tomonaga60 · Noël Tordo61,62 · Jonathan S. Towner63 · Bernadette van den Hoogen15 · Nikos Vasilakis64 · Victoria Wahl65 · Peter J. Walker66 · David Wang67,68,69 · Lin‑Fa Wang70 · Anna E. Whitfeld71 · John V. Williams22 · Gōngyín Yè72 · F. Murilo Zerbini73 · Yong‑Zhen Zhang74,75 · Jens H. Kuhn76 Published online: 20 January 2019 © This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2019 Abstract In October 2018, the order Mononegavirales was amended by the establishment of three new families and three new genera, abolishment of two genera, and creation of 28 novel species. -
ICTV Code Assigned: 2011.001Ag Officers)
This form should be used for all taxonomic proposals. Please complete all those modules that are applicable (and then delete the unwanted sections). For guidance, see the notes written in blue and the separate document “Help with completing a taxonomic proposal” Please try to keep related proposals within a single document; you can copy the modules to create more than one genus within a new family, for example. MODULE 1: TITLE, AUTHORS, etc (to be completed by ICTV Code assigned: 2011.001aG officers) Short title: Change existing virus species names to non-Latinized binomials (e.g. 6 new species in the genus Zetavirus) Modules attached 1 2 3 4 5 (modules 1 and 9 are required) 6 7 8 9 Author(s) with e-mail address(es) of the proposer: Van Regenmortel Marc, [email protected] Burke Donald, [email protected] Calisher Charles, [email protected] Dietzgen Ralf, [email protected] Fauquet Claude, [email protected] Ghabrial Said, [email protected] Jahrling Peter, [email protected] Johnson Karl, [email protected] Holbrook Michael, [email protected] Horzinek Marian, [email protected] Keil Guenther, [email protected] Kuhn Jens, [email protected] Mahy Brian, [email protected] Martelli Giovanni, [email protected] Pringle Craig, [email protected] Rybicki Ed, [email protected] Skern Tim, [email protected] Tesh Robert, [email protected] Wahl-Jensen Victoria, [email protected] Walker Peter, [email protected] Weaver Scott, [email protected] List the ICTV study group(s) that have seen this proposal: A list of study groups and contacts is provided at http://www.ictvonline.org/subcommittees.asp . -
Validation and Annotation of Virus Sequence Submissions to Genbank Alejandro A
Schäffer et al. BMC Bioinformatics (2020) 21:211 https://doi.org/10.1186/s12859-020-3537-3 SOFTWARE Open Access VADR: validation and annotation of virus sequence submissions to GenBank Alejandro A. Schäffer1,2, Eneida L. Hatcher2, Linda Yankie2, Lara Shonkwiler2,3,J.RodneyBrister2, Ilene Karsch-Mizrachi2 and Eric P. Nawrocki2* *Correspondence: [email protected] Abstract 2National Center for Biotechnology Background: GenBank contains over 3 million viral sequences. The National Center Information, National Library of for Biotechnology Information (NCBI) previously made available a tool for validating Medicine, National Institutes of Health, Bethesda, MD, 20894 USA and annotating influenza virus sequences that is used to check submissions to Full list of author information is GenBank. Before this project, there was no analogous tool in use for non-influenza viral available at the end of the article sequence submissions. Results: We developed a system called VADR (Viral Annotation DefineR) that validates and annotates viral sequences in GenBank submissions. The annotation system is based on the analysis of the input nucleotide sequence using models built from curated RefSeqs. Hidden Markov models are used to classify sequences by determining the RefSeq they are most similar to, and feature annotation from the RefSeq is mapped based on a nucleotide alignment of the full sequence to a covariance model. Predicted proteins encoded by the sequence are validated with nucleotide-to-protein alignments using BLAST. The system identifies 43 types of “alerts” that (unlike the previous BLAST-based system) provide deterministic and rigorous feedback to researchers who submit sequences with unexpected characteristics. VADR has been integrated into GenBank’s submission processing pipeline allowing for viral submissions passing all tests to be accepted and annotated automatically, without the need for any human (GenBank indexer) intervention. -
Bats: Important Reservoir Hosts of Emerging Viruses
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Other Publications in Zoonotics and Wildlife Disease Wildlife Disease and Zoonotics 2006 Bats: Important Reservoir Hosts of Emerging Viruses Charles H. Calisher Colorado State University James E. Childs Yale University School of Medicine, [email protected] Hume E. Field Department of Primary Industries and Fisheries, Brisbane, Queensland Tony Schountz University of Northern Colorado Kathryn V. Holmes University of Colorado Health Sciences Center Follow this and additional works at: https://digitalcommons.unl.edu/zoonoticspub Part of the Veterinary Infectious Diseases Commons Calisher, Charles H.; Childs, James E.; Field, Hume E.; Schountz, Tony; and Holmes, Kathryn V., "Bats: Important Reservoir Hosts of Emerging Viruses" (2006). Other Publications in Zoonotics and Wildlife Disease. 60. https://digitalcommons.unl.edu/zoonoticspub/60 This Article is brought to you for free and open access by the Wildlife Disease and Zoonotics at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Other Publications in Zoonotics and Wildlife Disease by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. CLINICAL MICROBIOLOGY REVIEWS, July 2006, p. 531–545 Vol. 19, No. 3 0893-8512/06/$08.00ϩ0 doi:10.1128/CMR.00017-06 Copyright © 2006, American Society for Microbiology. All Rights Reserved. Bats: Important Reservoir Hosts of Emerging Viruses Charles H. Calisher,1* James E. Childs,2 Hume E. Field,3 Kathryn V. Holmes,4 -
Virusscope – Inside a Virus Testing Lab
VirusSCOPE – Inside a virus testing lab Viruses are too small to be seen. There are different kinds of tests to find out whether someone has a virus in their body. These tests are carried out in specialized laboratories. One kind of test uses so-called antibodies. Antibodies are tiny recognition tools, which our body uses to recognize and fight viruses. Each antibody has a different shape, which makes it recognize a certain virus. In the lab, such antibodies are used to find and distinguish viruses in patients. Now, this is your task! Can you find out, which viruses are in your patients' bodies? Here’s what you’ll learn: In the lab, people find out which virus someone has by using antibodies. The shape of these antibodies matches perfectly with one specific virus. Antibodies have several parts. Material for print-out (4 pages): - Viruses (16 purple fields) - Antibodies (4 red and 4 blue parts with QR-Codes and letters) – cut these out! - Samples from 9 patients (green flasks with QR-Codes and numbers) - Laboratory report You can play this game on your own or in pairs. If you play this game in pairs, one person can find the matching parts, while the other documents your findings in the laboratory report. Alternatively, print out the materials twice and compete against each other to diagnose all patients correctly as quickly as possible! Note: The QR-Codes are not needed in this game. If you have access to a 3D-printer you can also 3D-print the parts of this game: https://www.prusaprinters.org/prints/28554-virusscope-educational-game-about-covid-19- diagnos 1st step: Assign antibodies to viruses Each antibody consists of two pieces, a „light chain“ (red) and a „heavy chain” (red). -
Vero Cell Upstream Bioprocess Development for the Production of Viral Vectors and Vaccines T ⁎ Sascha Kiesslich, Amine A
Biotechnology Advances 44 (2020) 107608 Contents lists available at ScienceDirect Biotechnology Advances journal homepage: www.elsevier.com/locate/biotechadv Research review paper Vero cell upstream bioprocess development for the production of viral vectors and vaccines T ⁎ Sascha Kiesslich, Amine A. Kamen Department of Bioengineering, McGill University, 817 Sherbrooke Street West, Montreal, Quebec H3A 0C3, Canada ARTICLE INFO ABSTRACT Keywords: The Vero cell line is considered the most used continuous cell line for the production of viral vectors and Vero vaccines. Historically, it is the first cell line that was approved by the WHO for the production of human vac- Cell culture cines. Comprehensive experimental data on the production of many viruses using the Vero cell line can be found Process development in the literature. However, the vast majority of these processes is relying on the microcarrier technology. While Virus production this system is established for the large-scale manufacturing of viral vaccine, it is still quite complex and labor Optimization intensive. Moreover, scale-up remains difficult and is limited by the surface area given by the carriers. To Vaccines ffi Bioreactor overcome these and other drawbacks and to establish more e cient manufacturing processes, it is a priority to Microcarrier further develop the Vero cell platform by applying novel bioprocess technologies. Especially in times like the Suspension culture current COVID-19 pandemic, advanced and scalable platform technologies could provide more efficient and cost-effective solutions to meet the global vaccine demand. Herein, we review the prevailing literature on Vero cell bioprocess development for the production of viral vectors and vaccines with the aim to assess the recent advances in bioprocess development. -
Emerging Issues in Virus Taxonomy Marc H.V
PERSPECTIVES Emerging Issues in Virus Taxonomy Marc H.V. van Regenmortel* and Brian W.J. Mahy† Viruses occupy a unique position in biology. Although are nonliving infectious entities that can be said, at best, to they possess some of the properties of living systems such lead a kind of borrowed life. as having a genome, they are actually nonliving infectious entities and should not be considered microorganisms. A Viruses versus Virus Particles or Virions clear distinction should be drawn between the terms virus, A virus is a general term which denotes any number of virion, and virus species. Species is the most fundamental taxonomic category used in all biological classification. In concrete objects that possess various relational properties 1991, the International Committee on Taxonomy of Viruses (for instance, its host, vector, and infectivity) that arise by (ICTV) decided that the category of virus species should be virtue of a relation with other objects. These relational used in virus classification together with the categories of properties, also called emergent properties, are characteris- genus and family. More than 50 ICTV study groups were tic of the viral biosystem as a whole and are not present in given the task of demarcating the 1,550 viral species that its constituent parts. When a virus undergoes its so-called were recognized in the 7th ICTV report, which was pub- life cycle, it takes on various forms and manifestations, for lished in 2000. We briefly describe the changes in virus instance, as a replicating nucleic acid in the host cell or classification that were introduced in that report. -
Fitness Selection of Hyperfusogenic Measles Virus F Proteins Associated
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.22.423954; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Title 2 Fitness selection of hyperfusogenic measles virus F proteins associated with 3 neuropathogenic phenotypes 4 5 Authors 6 Satoshi Ikegame1, Takao Hashiguchi2,3, Chuan-Tien Hung1, Kristina Dobrindt4, Kristen J 7 Brennand4, Makoto Takeda5, Benhur Lee1* 8 9 Affiliations 10 1. Department of Microbiology at the Icahn School of Medicine at Mount Sinai, New York, NY 11 10029, USA. 12 2. Laboratory of Medical virology, Institute for Frontier Life and Medical Sciences, Kyoto 13 University, Kyoto 606-8507, Japan. 14 3. Department of Virology, Faculty of Medicine, Kyushu University. 15 4. Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomics, Icahn 16 Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New 17 York, NY 10029, USA. 18 5. Department of Virology 3, National Institute of Infectious Diseases, Tokyo, Japan. 19 20 * Correspondence to: [email protected] 21 22 Authors contributions 23 S. I. and B. L. conceived this study. S.I. conducted library preparation, screening experiment, 24 fusion assay, and virus growth analysis. T. H. did the structural discussion of measles F protein. 25 C. H. conducted the surface expression analysis. K. R., and K. B. worked on human iPS cells 26 derived neuron experiment. M. T. provided measles genome coding plasmid in this study. B. L. -
S41598-020-77835-Z.Pdf
www.nature.com/scientificreports OPEN Specifc capture and whole‑genome phylogeography of Dolphin morbillivirus Francesco Cerutti1, Federica Giorda1,2, Carla Grattarola1, Walter Mignone1, Chiara Beltramo1, Nicolas Keck3, Alessio Lorusso4, Gabriella Di Francesco4, Ludovica Di Renzo4, Giovanni Di Guardo5, Mariella Goria1, Loretta Masoero1, Pier Luigi Acutis1, Cristina Casalone1 & Simone Peletto1* Dolphin morbillivirus (DMV) is considered an emerging threat having caused several epidemics worldwide. Only few DMV genomes are publicly available. Here, we report the use of target enrichment directly from cetacean tissues to obtain novel DMV genome sequences, with sequence comparison and phylodynamic analysis. RNA from 15 tissue samples of cetaceans stranded along the Italian and French coasts (2008–2017) was purifed and processed using custom probes (by bait hybridization) for target enrichment and sequenced on Illumina MiSeq. Data were mapped against the reference genome, and the novel sequences were aligned to the available genome sequences. The alignment was then used for phylogenetic and phylogeographic analysis using MrBayes and BEAST. We herein report that target enrichment by specifc capture may be a successful strategy for whole‑genome sequencing of DMV directly from feld samples. By this strategy, 14 complete and one partially complete genomes were obtained, with reads mapping to the virus up to 98% and coverage up to 7800X. The phylogenetic tree well discriminated the Mediterranean and the NE‑Atlantic strains, circulating in the Mediterranean Sea and causing two diferent epidemics (2008–2015 and 2014–2017, respectively), with a limited time overlap of the two strains, sharing a common ancestor approximately in 1998. Cetacean morbillivirus (CeMV) is a member of the genus Morbillivirus (family Paramyxoviridae, subfamily Orthoparamyxovirinae), which includes also the Canine morbillivirus, Feline morbillivirus, Measles morbillivi- rus, Phocine morbillivirus, Rinderpest morbillivirus, and Small ruminant morbillivirus 1. -
Prevalence of Herpes -, Measles Morbillivirus-, Parvovirus
Prevalence of herpes -, measles morbillivirus-, parvovirus B19 - and rubella viruses immunoglobulin G among women with chronic hepatitis B of reproductive age in Denmark A cross-sectional study Bergløv, Anne; Hallager, Sofie; Panum, Inge; Weis, Nina Published in: International Journal of Infectious Diseases DOI: 10.1016/j.ijid.2020.09.1477 Publication date: 2020 Document version Publisher's PDF, also known as Version of record Document license: CC BY-NC-ND Citation for published version (APA): Bergløv, A., Hallager, S., Panum, I., & Weis, N. (2020). Prevalence of herpes -, measles morbillivirus-, parvovirus B19 - and rubella viruses immunoglobulin G among women with chronic hepatitis B of reproductive age in Denmark: A cross-sectional study. International Journal of Infectious Diseases, 101, 269-275. https://doi.org/10.1016/j.ijid.2020.09.1477 Download date: 01. Oct. 2021 International Journal of Infectious Diseases 101 (2020) 269–275 Contents lists available at ScienceDirect International Journal of Infectious Diseases journal homepage: www.elsevier.com/locate/ijid Prevalence of herpes -, measles morbillivirus-, parvovirus B19 - and rubella viruses immunoglobulin G among women with chronic hepatitis B of reproductive age in Denmark: A cross-sectional study a a b a,c, Anne Bergløv , Sofie Hallager , Inge Panum , Nina Weis * a Department of Infectious Diseases, Copenhagen University Hospital Hvidovre, Kettegaard Alle 30, DK 2650 Hvidovre, Denmark b Department of Clinical Microbiology, Copenhagen University Hospital Hvidovre, Kettegaard -
Identification of Viral-Mediated Pathogenic Mechanisms In
Briefings in Bioinformatics, 00(00), 2021, 1–27 doi: 10.1093/bib/bbab141 Problem Solving Protocol Identification of viral-mediated pathogenic Downloaded from https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbab141/6272000 by guest on 27 September 2021 mechanisms in neurodegenerative diseases using network-based approaches Anna Onisiforou and George M. Spyrou Corresponding author. George M. Spyrou, Bioinformatics Department, Cyprus School of Molecular Medicine, Cyprus Institute of Neurology & Genetics, 6 Iroon Avenue, 2371 Nicosia, Cyprus. Tel.: +35722392852; E-mail: [email protected] Abstract During the course of a viral infection, virus–host protein–protein interactions (PPIs) play a critical role in allowing viruses to replicate and survive within the host. These interspecies molecular interactions can lead to viral-mediated perturbations of the human interactome causing the generation of various complex diseases. Evidences suggest that viral-mediated perturbations are a possible pathogenic etiology in several neurodegenerative diseases (NDs). These diseases are characterized by chronic progressive degeneration of neurons, and current therapeutic approaches provide only mild symptomatic relief; therefore, there is unmet need for the discovery of novel therapeutic interventions. In this paper, we initially review databases and tools that can be utilized to investigate viral-mediated perturbations in complex NDs using network-based analysis by examining the interaction between the ND-related PPI disease networks and the virus–host PPI network. Afterwards, we present our theoretical-driven integrative network-based bioinformatics approach that accounts for pathogen–genes–disease-related PPIs with the aim to identify viral-mediated pathogenic mechanisms focusing in multiple sclerosis (MS) disease. We identified seven high centrality nodes that can act as disease communicator nodes and exert systemic effects in the MS-enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways network.