Supplementary Information For

Total Page:16

File Type:pdf, Size:1020Kb

Supplementary Information For Supplementary Information for Viral zoonotic risk is homogenous among taxonomic orders of mammalian and avian reservoir hosts Nardus Mollentze and Daniel G. Streicker E-mail: [email protected] / [email protected] This PDF file includes: Figs. S1 to S7 SI References Other supplementary materials for this manuscript include the following: Data and all code (available at https://doi.org/10.5281/zenodo.3516613) www.pnas.org/cgi/doi/10.1073/pnas.1919176117 Nardus Mollentze and Daniel G. Streicker 1 of9 Passeriformes Perissodactyla Carnivora Galliformes Anseriformes Tog Ort Ort Ort Coronaviridae Rha Fla Paramyxoviridae Reo Flaviviridae Hepe Phe Picornaviridae Nai Cor Tog Paramyxoviridae Diprotodontia Rhabdoviridae Togaviridae Flaviviridae Peribunyaviridae Hepe Caliciviridae Fla Tog Reoviridae Cetartiodactyla Are Caliciviridae Poxviridae Nai Reo Chiroptera Peribunyaviridae Rhabdoviridae Filoviridae Togaviridae Rhabdoviridae Coronaviridae Flaviviridae Cal Reo Paramyxoviridae Flaviviridae Picornaviridae Poxviridae Herpesviridae Flaviviridae Poxviridae Reoviridae Togaviridae Primates Rodentia Hepa Per Pol Arenaviridae Hantaviridae Retroviridae Adenoviridae Picornaviridae Proportion zoonotic 0.00 0.25 0.50 0.75 1.00 Fig. S1. Number of zoonotic viruses linked to key mammalian and avian reservoir orders. Each rectangle represents a reservoir – virus family combination, with its size corresponding to the number of zoonotic virus species definitively linked to that reservoir and its colour indicating the proportion of the total number of viruses in that reservoir–family combination that this represents. Ade = Adenoviridae, Are = Arenaviridae, Art = Arteriviridae, Asf = Asfarviridae, Ast = Astroviridae, Cal = Caliciviridae, Cor = Coronaviridae, Fla = Flaviviridae, Hepa = Hepadnaviridae, Hepe = Hepeviridae, Nai = Nairoviridae, Ort = Orthomyxoviridae, Pap = Papillomaviridae, Per = Peribunyaviridae, Phe = Phenuiviridae, Pic = Picornaviridae, Pne = Pneumoviridae, Pol = Polyomaviridae, Pox = Poxviridae, Reo = Reoviridae, Rha = Rhabdoviridae, Tob = Tobaniviridae, Tog = Togaviridae. 2 of9 Nardus Mollentze and Daniel G. Streicker Adenoviridae Arenaviridae Arteriviridae Rodentia Rodentia Primates Rodentia Perissodactyla Primates Diprotodontia Perissodactyla Cetartiodactyla Chiroptera Carnivora Cetartiodactyla Asfarviridae Astroviridae Caliciviridae Cetartiodactyla Rodentia Carnivora Lagomorpha Cetartiodactyla Galliformes Cetartiodactyla Anseriformes Carnivora Circoviridae Coronaviridae Filoviridae Rodentia Perissodactyla Chiroptera Cetartiodactyla Chiroptera Cetartiodactyla Carnivora Galliformes Flaviviridae Hantaviridae Hepadnaviridae Rodentia Primates Perissodactyla Rodentia Diprotodontia Chiroptera Rodentia Cetartiodactyla Primates Passeriformes Galliformes Hepeviridae Herpesviridae Nairoviridae Rodentia Rodentia Rodentia Chiroptera Primates Perissodactyla Cetartiodactyla Chiroptera Diprotodontia Carnivora Cetartiodactyla Cetartiodactyla Galliformes Carnivora Orthomyxoviridae Papillomaviridae Paramyxoviridae Rodentia Rodentia Cetartiodactyla Primates Chiroptera Perissodactyla Cetartiodactyla Carnivora Lagomorpha Carnivora Cetartiodactyla Galliformes Anseriformes Carnivora Anseriformes Parvoviridae Peribunyaviridae Phenuiviridae Rodentia Rodentia Primates Primates Lagomorpha Cetartiodactyla Cetartiodactyla Cetartiodactyla Carnivora Passeriformes Picornaviridae Pneumoviridae Polyomaviridae Rodentia Primates Rodentia Rodentia Perissodactyla Chiroptera Cetartiodactyla Cetartiodactyla Primates Carnivora Passeriformes Galliformes Galliformes Cetartiodactyla Anseriformes Poxviridae Reoviridae Retroviridae Rodentia Rodentia Rodentia Primates Primates Perissodactyla Primates Lagomorpha Diprotodontia Perissodactyla Cetartiodactyla Chiroptera Cetartiodactyla Cetartiodactyla Carnivora Galliformes Carnivora Rhabdoviridae Tobaniviridae Togaviridae Rodentia Rodentia Perissodactyla Primates Diprotodontia Perissodactyla Chiroptera Diprotodontia Cetartiodactyla Cetartiodactyla Cetartiodactyla Carnivora Carnivora Passeriformes −2.5 0.0 2.5 5.0 −2.5 0.0 2.5 5.0 −2.5 0.0 2.5 5.0 log(Odds zoonotic) Fig. S2. Partial effects plot for the family-specific reservoir effect in the top-ranked model in Fig. 2A. Points represent partial residuals, after accounting for the other effects in the model, while lines indicate the predicted effect. Shaded areas show the 95% confidence intervals of each predicted effect. Effects which are clearly separated from 0 (defined as having a confidence interval which does not cross 0) are highlighted in blue. Nardus Mollentze and Daniel G. Streicker 3 of9 A Hantaviridae B Nairoviridae Rodentia Peribunyaviridae Primates Arenaviridae Perissodactyla Phenuiviridae Lagomorpha Orthomyxoviridae Diprotodontia Filoviridae Chiroptera Paramyxoviridae Cetartiodactyla Pneumoviridae Reservoir Carnivora Rhabdoviridae Passeriformes Arteriviridae Galliformes Coronaviridae Anseriformes Tobaniviridae Reoviridae −2 −1 0 1 2 Astroviridae Caliciviridae log(Odds zoonotic) Flaviviridae C Hepeviridae Perissodactyla Virus taxonomy Picornaviridae Carnivora Togaviridae Cetartiodactyla Adenoviridae Chiroptera Asfarviridae Rodentia Herpesviridae Lagomorpha Papillomaviridae Primates Polyomaviridae Poxviridae Diprotodontia Hepadnaviridae Anseriformes Circoviridae Galliformes Parvoviridae Reservoir phylogeny Passeriformes Retroviridae 0 200 400 600 −2 −1 0 1 2 Distance (My) log(Odds zoonotic)log(Odds zoonotic) 0.00 0.25 0.50 0.75 1.00 1.25−4 −2 0 2 4 log(Odds zoonotic)log(Odds zoonotic) Fig. S3. Effect of virus taxonomy and reservoir phylogeny on the probability of being zoonotic, after accounting for all other effects in the model. (A) Partial effects for the individual families making up the taxonomic random effect, in the best model containing a virus taxonomy effect in the absence of any reservoir-related random effects (ranked 34th in Fig. 2; ∆AIC = 14.1). (B-C) Partial effects for the reservoir and reservoir phylogeny random effects from the top-ranked model in which each occurred without a virus taxonomy random effect (ranked 127th and 128th, respectively; ∆AIC = 30.8 in both cases). Bars indicate partial effects, after accounting for all other variables in the model, with shaded regions showing the extent of their 95% confidence intervals, while points indicate partial residuals for individual virus species. Families with effects clearly separated from 0 are highlighted in blue. 4 of9 Nardus Mollentze and Daniel G. Streicker A B E Deviance Rank ∆AIC explained Virus-related publications 1 0.00 56.4 2 1.81 57.1 140 3 1.92 56.7 Reservoir sp. richness 130 4 1.97 38.2 120 5 2.64 44.9 Phylogenetic distance 110 6 3.81 57.1 100 7 3.87 38.7 Mammalian reservoir 8 4.36 46.3 90 9 5.63 15.8 -1 0 1 2 80 10 5.71 0.0 Coefficient estimate 70 11 6.31 24.6 C D 60 12 6.50 9.4 6 13 7.15 4.5 5 50 14 7.61 28.9 40 Predicted number of virus species 15 7.62 15.8 4 30 16 8.46 9.8 4 20 10 of virus species Effect on number of virus3 species 2 Effect on number 0 2 3 4 5 6 7 8 9 0 10 20 30 40 50 60 70 80 90 100 110 Mammalian reservoir log(Reservoir spp. richness) Mammal Observed number of virus species Phylogenetic distance Phylogenetic Reservoir sp. richness Reservoir sp. Virus−related publications Fig. S4. Factors predicting the total number virus species maintained by different animal orders (viral richness). (A) Models for all possible variable combinations ranked by AIC. Each row represents a model, while columns represent variables. Filled cells and white cells indicate variable inclusion and absence, respectively. The top four model are colour coded, with colours re-used in all other panels to identify the respective models. (B) Coefficient estimates for the top 4 models: points indicate the maximum likelihood estimate; lines show 95% confidence intervals. All variables were scaled by dividing them by 2 times their standard deviation. (C–D) Partial effect plots for variables in the top model. Lines and shading indicate the partial effects and 95% confidence intervals, with points showing partial residuals. (E) Predicted viral richness for each reservoir group when using the top model (blue in panel A). Nardus Mollentze and Daniel G. Streicker 5 of9 A 60 Model rank 1 40 2 3 4 20 Predicted number of zoonotic species 0 0 10 20 30 40 0 10 20 30 40 0 10 20 30 40 0 10 20 30 40 Observed number of zoonotic species B 140 120 100 Model rank 1 80 2 60 3 4 40 Predicted number of virus species 20 0 20 40 60 80 100 20 40 60 80 100 20 40 60 80 100 20 40 60 80 100 Observed number of virus species Fig. S5. Predictions from the top four models predicting the number of zoonotic species and the total viral richness. (A) Observed and predicted number of zoonotic species for each reservoir group when using each of the top four models in Fig. 4A. (B) Observed and predicted total viral richness per reservoir group, for the top four models illustrated in Fig. S4A. 6 of9 Nardus Mollentze and Daniel G. Streicker A B 7.5 D Deviance explained (%) 0 4 8 12 16 2 Deviance 5.0 Rank ∆AIC explained 1 0.00 49.2% 2.5 0 2 1.13 49.4% 3 1.24 49.4% 0.0 −2 4 1.37 49.3% log(Odds zoonotic) log(Odds zoonotic) −2.5 5 2.19 49.7% 0 3 6 9 0 100 200 300 6 2.28 49.6% log(Virus publication count) Phylogenetic distance (My) 7 2.41 49.5% 8 2.59 50.3% C E 3 9 2.97 50.6% Retroviridae 2 2 10 3.29 49.9% 1 11 4.21 49.1% 1 0 12 5.11 49.4% −1 13 7.50 50.3% 0 −2 log(Odds zoonotic) 14 7.56 48.2% log(Odds zoonotic) −1 15 7.77 40.1% Primates 16 7.78 40.1% Rodentia Vector− Carnivora 17 7.83 40.1% borne Perissodactyla Cetartiodactyla 18
Recommended publications
  • Antiviral Bioactive Compounds of Mushrooms and Their Antiviral Mechanisms: a Review
    viruses Review Antiviral Bioactive Compounds of Mushrooms and Their Antiviral Mechanisms: A Review Dong Joo Seo 1 and Changsun Choi 2,* 1 Department of Food Science and Nutrition, College of Health and Welfare and Education, Gwangju University 277 Hyodeok-ro, Nam-gu, Gwangju 61743, Korea; [email protected] 2 Department of Food and Nutrition, School of Food Science and Technology, College of Biotechnology and Natural Resources, Chung-Ang University, 4726 Seodongdaero, Daeduck-myun, Anseong-si, Gyeonggi-do 17546, Korea * Correspondence: [email protected]; Tel.: +82-31-670-4589; Fax: +82-31-676-8741 Abstract: Mushrooms are used in their natural form as a food supplement and food additive. In addition, several bioactive compounds beneficial for human health have been derived from mushrooms. Among them, polysaccharides, carbohydrate-binding protein, peptides, proteins, enzymes, polyphenols, triterpenes, triterpenoids, and several other compounds exert antiviral activity against DNA and RNA viruses. Their antiviral targets were mostly virus entry, viral genome replication, viral proteins, and cellular proteins and influenced immune modulation, which was evaluated through pre-, simultaneous-, co-, and post-treatment in vitro and in vivo studies. In particular, they treated and relieved the viral diseases caused by herpes simplex virus, influenza virus, and human immunodeficiency virus (HIV). Some mushroom compounds that act against HIV, influenza A virus, and hepatitis C virus showed antiviral effects comparable to those of antiviral drugs. Therefore, bioactive compounds from mushrooms could be candidates for treating viral infections. Citation: Seo, D.J.; Choi, C. Antiviral Bioactive Compounds of Mushrooms Keywords: mushroom; bioactive compound; virus; infection; antiviral mechanism and Their Antiviral Mechanisms: A Review.
    [Show full text]
  • Intracellular Trafficking of HBV Particles
    cells Review Intracellular Trafficking of HBV Particles Bingfu Jiang 1 and Eberhard Hildt 1,2,* 1 Department of Virology, Paul-Ehrlich-Institut, D-63225 Langen, Germany; [email protected] 2 German Center for Infection Research (DZIF), TTU Hepatitis, Marburg-Gießen-Langen, D63225 Langen, Germany * Correspondence: [email protected]; Tel.: +49-61-0377-2140 Received: 12 August 2020; Accepted: 2 September 2020; Published: 2 September 2020 Abstract: The human hepatitis B virus (HBV), that is causative for more than 240 million cases of chronic liver inflammation (hepatitis), is an enveloped virus with a partially double-stranded DNA genome. After virion uptake by receptor-mediated endocytosis, the viral nucleocapsid is transported towards the nuclear pore complex. In the nuclear basket, the nucleocapsid disassembles. The viral genome that is covalently linked to the viral polymerase, which harbors a bipartite NLS, is imported into the nucleus. Here, the partially double-stranded DNA genome is converted in a minichromosome-like structure, the covalently closed circular DNA (cccDNA). The DNA virus HBV replicates via a pregenomic RNA (pgRNA)-intermediate that is reverse transcribed into DNA. HBV-infected cells release apart from the infectious viral parrticle two forms of non-infectious subviral particles (spheres and filaments), which are assembled by the surface proteins but lack any capsid and nucleic acid. In addition, naked capsids are released by HBV replicating cells. Infectious viral particles and filaments are released via multivesicular bodies; spheres are secreted by the classic constitutive secretory pathway. The release of naked capsids is still not fully understood, autophagosomal processes are discussed. This review describes intracellular trafficking pathways involved in virus entry, morphogenesis and release of (sub)viral particles.
    [Show full text]
  • A Preliminary Study of Viral Metagenomics of French Bat Species in Contact with Humans: Identification of New Mammalian Viruses
    A preliminary study of viral metagenomics of French bat species in contact with humans: identification of new mammalian viruses. Laurent Dacheux, Minerva Cervantes-Gonzalez, Ghislaine Guigon, Jean-Michel Thiberge, Mathias Vandenbogaert, Corinne Maufrais, Valérie Caro, Hervé Bourhy To cite this version: Laurent Dacheux, Minerva Cervantes-Gonzalez, Ghislaine Guigon, Jean-Michel Thiberge, Mathias Vandenbogaert, et al.. A preliminary study of viral metagenomics of French bat species in contact with humans: identification of new mammalian viruses.. PLoS ONE, Public Library of Science, 2014, 9 (1), pp.e87194. 10.1371/journal.pone.0087194.s006. pasteur-01430485 HAL Id: pasteur-01430485 https://hal-pasteur.archives-ouvertes.fr/pasteur-01430485 Submitted on 9 Jan 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License A Preliminary Study of Viral Metagenomics of French Bat Species in Contact with Humans: Identification of New Mammalian Viruses Laurent Dacheux1*, Minerva Cervantes-Gonzalez1,
    [Show full text]
  • Guide for Common Viral Diseases of Animals in Louisiana
    Sampling and Testing Guide for Common Viral Diseases of Animals in Louisiana Please click on the species of interest: Cattle Deer and Small Ruminants The Louisiana Animal Swine Disease Diagnostic Horses Laboratory Dogs A service unit of the LSU School of Veterinary Medicine Adapted from Murphy, F.A., et al, Veterinary Virology, 3rd ed. Cats Academic Press, 1999. Compiled by Rob Poston Multi-species: Rabiesvirus DCN LADDL Guide for Common Viral Diseases v. B2 1 Cattle Please click on the principle system involvement Generalized viral diseases Respiratory viral diseases Enteric viral diseases Reproductive/neonatal viral diseases Viral infections affecting the skin Back to the Beginning DCN LADDL Guide for Common Viral Diseases v. B2 2 Deer and Small Ruminants Please click on the principle system involvement Generalized viral disease Respiratory viral disease Enteric viral diseases Reproductive/neonatal viral diseases Viral infections affecting the skin Back to the Beginning DCN LADDL Guide for Common Viral Diseases v. B2 3 Swine Please click on the principle system involvement Generalized viral diseases Respiratory viral diseases Enteric viral diseases Reproductive/neonatal viral diseases Viral infections affecting the skin Back to the Beginning DCN LADDL Guide for Common Viral Diseases v. B2 4 Horses Please click on the principle system involvement Generalized viral diseases Neurological viral diseases Respiratory viral diseases Enteric viral diseases Abortifacient/neonatal viral diseases Viral infections affecting the skin Back to the Beginning DCN LADDL Guide for Common Viral Diseases v. B2 5 Dogs Please click on the principle system involvement Generalized viral diseases Respiratory viral diseases Enteric viral diseases Reproductive/neonatal viral diseases Back to the Beginning DCN LADDL Guide for Common Viral Diseases v.
    [Show full text]
  • Key Factors That Enable the Pandemic Potential of RNA Viruses and Inter-Species Transmission: a Systematic Review
    viruses Review Key Factors That Enable the Pandemic Potential of RNA Viruses and Inter-Species Transmission: A Systematic Review Santiago Alvarez-Munoz , Nicolas Upegui-Porras , Arlen P. Gomez and Gloria Ramirez-Nieto * Microbiology and Epidemiology Research Group, Facultad de Medicina Veterinaria y de Zootecnia, Universidad Nacional de Colombia, Bogotá 111321, Colombia; [email protected] (S.A.-M.); [email protected] (N.U.-P.); [email protected] (A.P.G.) * Correspondence: [email protected]; Tel.: +57-1-3-16-56-93 Abstract: Viruses play a primary role as etiological agents of pandemics worldwide. Although there has been progress in identifying the molecular features of both viruses and hosts, the extent of the impact these and other factors have that contribute to interspecies transmission and their relationship with the emergence of diseases are poorly understood. The objective of this review was to analyze the factors related to the characteristics inherent to RNA viruses accountable for pandemics in the last 20 years which facilitate infection, promote interspecies jump, and assist in the generation of zoonotic infections with pandemic potential. The search resulted in 48 research articles that met the inclusion criteria. Changes adopted by RNA viruses are influenced by environmental and host-related factors, which define their ability to adapt. Population density, host distribution, migration patterns, and the loss of natural habitats, among others, have been associated as factors in the virus–host interaction. This review also included a critical analysis of the Latin American context, considering its diverse and unique social, cultural, and biodiversity characteristics. The scarcity of scientific information is Citation: Alvarez-Munoz, S.; striking, thus, a call to local institutions and governments to invest more resources and efforts to the Upegui-Porras, N.; Gomez, A.P.; study of these factors in the region is key.
    [Show full text]
  • Discovery of a Highly Divergent Hepadnavirus in Shrews from China
    Virology 531 (2019) 162–170 Contents lists available at ScienceDirect Virology journal homepage: www.elsevier.com/locate/virology Discovery of a highly divergent hepadnavirus in shrews from China T Fang-Yuan Niea,b,1, Jun-Hua Tianc,1, Xian-Dan Lind,1, Bin Yuc, Jian-Guang Xinge, Jian-Hai Caof, ⁎ ⁎⁎ Edward C. Holmesg,h, Runlin Z. Maa, , Yong-Zhen Zhangb,h, a State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China b State Key Laboratory for Infectious Disease Prevention and Control; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases; Department of Zoonoses, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China c Wuhan Center for Disease Control and Prevention, Wuhan, China d Wenzhou Center for Disease Control and Prevention, Wenzhou, Zhejiang Province, China e Wencheng Center for Disease Control and Prevention, Wencheng, Zhejiang Province, China f Longwan Center for Disease Control and Prevention, Longwan District, Wenzhou, Zhejiang Province, China g Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, The University of Sydney, Sydney, NSW 2006, Australia h Shanghai Public Health Clinical Center & Institute of Biomedical Sciences, Fudan University, Shanghai, China ARTICLE INFO ABSTRACT Keywords: Limited sampling means that relatively little is known about the diversity and evolutionary history of mam- Hepadnaviruses malian members of the Hepadnaviridae (genus Orthohepadnavirus). An important case in point are shrews, the Shrews fourth largest group of mammals, but for which there is limited knowledge on the role they play in viral evo- Phylogeny lution and emergence.
    [Show full text]
  • Survival of Human Norovirus Surrogates in Juices and Their Inactivation Using Novel Methods
    University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Masters Theses Graduate School 5-2011 Survival of Human Norovirus Surrogates In Juices and their Inactivation Using Novel Methods Katie Marie Horm [email protected] Follow this and additional works at: https://trace.tennessee.edu/utk_gradthes Recommended Citation Horm, Katie Marie, "Survival of Human Norovirus Surrogates In Juices and their Inactivation Using Novel Methods. " Master's Thesis, University of Tennessee, 2011. https://trace.tennessee.edu/utk_gradthes/882 This Thesis is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Masters Theses by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a thesis written by Katie Marie Horm entitled "Survival of Human Norovirus Surrogates In Juices and their Inactivation Using Novel Methods." I have examined the final electronic copy of this thesis for form and content and recommend that it be accepted in partial fulfillment of the equirr ements for the degree of Master of Science, with a major in Food Science and Technology. Doris H. D'Souza, Major Professor We have read this thesis and recommend its acceptance: Federico M. Harte, Gina M. Pighetti Accepted for the Council: Carolyn R. Hodges Vice Provost and Dean of the Graduate School (Original signatures are on file with official studentecor r ds.) Survival of Human Norovirus Surrogates In Juices and their Inactivation Using Novel Methods A Thesis Presented for the Master of Science Degree The University of Tennessee, Knoxville Katie Marie Horm May 2011 Acknowledgments I would like to think my major professor/advisor Dr.
    [Show full text]
  • Detection of Respiratory Viruses and Subtype Identification of Inffuenza a Viruses by Greenechipresp Oligonucleotide Microarray
    JOURNAL OF CLINICAL MICROBIOLOGY, Aug. 2007, p. 2359–2364 Vol. 45, No. 8 0095-1137/07/$08.00ϩ0 doi:10.1128/JCM.00737-07 Copyright © 2007, American Society for Microbiology. All Rights Reserved. Detection of Respiratory Viruses and Subtype Identification of Influenza A Viruses by GreeneChipResp Oligonucleotide Microarrayᰔ† Phenix-Lan Quan,1‡ Gustavo Palacios,1‡ Omar J. Jabado,1 Sean Conlan,1 David L. Hirschberg,2 Francisco Pozo,3 Philippa J. M. Jack,4 Daniel Cisterna,5 Neil Renwick,1 Jeffrey Hui,1 Andrew Drysdale,1 Rachel Amos-Ritchie,4 Elsa Baumeister,5 Vilma Savy,5 Kelly M. Lager,6 Ju¨rgen A. Richt,6 David B. Boyle,4 Adolfo Garcı´a-Sastre,7 Inmaculada Casas,3 Pilar Perez-Bren˜a,3 Thomas Briese,1 and W. Ian Lipkin1* Jerome L. and Dawn Greene Infectious Disease Laboratory, Mailman School of Public Health, Columbia University, New York, New York1; Stanford School of Medicine, Palo Alto, California2; Centro Nacional de Microbiologia, Instituto de Salud Carlos III, Madrid, Spain3; CSIRO Livestock Industries, Australian Animal Health Laboratory, Victoria, Australia4; Instituto Nacional de Enfermedades Infecciosas, ANLIS Dr. Carlos G. Malbra´n, Buenos Aires, Argentina5; National Animal Disease Center, USDA, Ames, Iowa6; and Department of Microbiology and Emerging Pathogens Institute, 7 Mount Sinai School of Medicine, New York, New York Downloaded from Received 4 April 2007/Returned for modification 15 May 2007/Accepted 21 May 2007 Acute respiratory infections are significant causes of morbidity, mortality, and economic burden worldwide. An accurate, early differential diagnosis may alter individual clinical management as well as facilitate the recognition of outbreaks that have implications for public health.
    [Show full text]
  • Norovirus Infectious Agent Information Sheet
    Norovirus Infectious Agent Information Sheet Introduction Noroviruses are non-enveloped (naked) RNA viruses with icosahedral nucleocapsid symmetry. The norovirus genome consists of (+) ssRNA, containing three open reading frames that encode for proteins required for transcription, replication, and assembly. There are five norovirus genogroups (GI-GV), and only GI, GII, and GIV infect humans. Norovirus belongs to the Caliciviridae family of viruses, and has had past names including, Norwalk virus and “winter-vomiting” disease. Epidemiology and Clinical Significance Noroviruses are considered the most common cause of outbreaks of non-bacterial gastroenteritis worldwide, are the leading cause of foodborne illness in the United States (58%), and account for 26% of hospitalizations and 10% of deaths associated with food consumption. Salad ingredients, fruit, and oysters are the most implicated in norovirus outbreaks. Aside from food and water, Noroviruses can also be transmitted by person to person contact and contact with environmental surfaces. The rapid spread of secondary infections occurs in areas where a large population is enclosed within a static environment, such as cruise ships, military bases, and institutions. Symptoms typically last for 24 to 48 hours, but can persist up to 96 hours in the immunocompromised. Pathogenesis, Immunity, Treatment and Prevention Norovirus is highly infectious due to low infecting dose, high excretion level (105 to 107 copies/mg stool), and continual shedding after clinical recovery (>1 month). The norovirus genome undergoes frequent change due to mutation and recombination, which increases its prevalence. Studies suggest that acquired immunity only last 6 months after infection. Gastroenteritis, an inflammation of the stomach and small and large intestines, is caused by norovirus infection.
    [Show full text]
  • Hantavirus Disease Were HPS Is More Common in Late Spring and Early Summer in Seropositive in One Study in the U.K
    Hantavirus Importance Hantaviruses are a large group of viruses that circulate asymptomatically in Disease rodents, insectivores and bats, but sometimes cause illnesses in humans. Some of these agents can occur in laboratory rodents or pet rats. Clinical cases in humans vary in Hantavirus Fever, severity: some hantaviruses tend to cause mild disease, typically with complete recovery; others frequently cause serious illnesses with case fatality rates of 30% or Hemorrhagic Fever with Renal higher. Hantavirus infections in people are fairly common in parts of Asia, Europe and Syndrome (HFRS), Nephropathia South America, but they seem to be less frequent in North America. Hantaviruses may Epidemica (NE), Hantavirus occasionally infect animals other than their usual hosts; however, there is currently no Pulmonary Syndrome (HPS), evidence that they cause any illnesses in these animals, with the possible exception of Hantavirus Cardiopulmonary nonhuman primates. Syndrome, Hemorrhagic Nephrosonephritis, Epidemic Etiology Hemorrhagic Fever, Korean Hantaviruses are members of the genus Orthohantavirus in the family Hantaviridae Hemorrhagic Fever and order Bunyavirales. As of 2017, 41 species of hantaviruses had officially accepted names, but there is ongoing debate about which viruses should be considered discrete species, and additional viruses have been discovered but not yet classified. Different Last Updated: September 2018 viruses tend to be associated with the two major clinical syndromes in humans, hemorrhagic fever with renal syndrome (HFRS) and hantavirus pulmonary (or cardiopulmonary) syndrome (HPS). However, this distinction is not absolute: viruses that are usually associated with HFRS have been infrequently linked to HPS and vice versa. A mild form of HFRS in Europe is commonly called nephropathia epidemica.
    [Show full text]
  • Characterizing and Evaluating the Zoonotic Potential of Novel Viruses Discovered in Vampire Bats
    viruses Article Characterizing and Evaluating the Zoonotic Potential of Novel Viruses Discovered in Vampire Bats Laura M. Bergner 1,2,* , Nardus Mollentze 1,2 , Richard J. Orton 2 , Carlos Tello 3,4, Alice Broos 2, Roman Biek 1 and Daniel G. Streicker 1,2 1 Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK; [email protected] (N.M.); [email protected] (R.B.); [email protected] (D.G.S.) 2 MRC–University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK; [email protected] (R.J.O.); [email protected] (A.B.) 3 Association for the Conservation and Development of Natural Resources, Lima 15037, Peru; [email protected] 4 Yunkawasi, Lima 15049, Peru * Correspondence: [email protected] Abstract: The contemporary surge in metagenomic sequencing has transformed knowledge of viral diversity in wildlife. However, evaluating which newly discovered viruses pose sufficient risk of infecting humans to merit detailed laboratory characterization and surveillance remains largely speculative. Machine learning algorithms have been developed to address this imbalance by ranking the relative likelihood of human infection based on viral genome sequences, but are not yet routinely Citation: Bergner, L.M.; Mollentze, applied to viruses at the time of their discovery. Here, we characterized viral genomes detected N.; Orton, R.J.; Tello, C.; Broos, A.; through metagenomic sequencing of feces and saliva from common vampire bats (Desmodus rotundus) Biek, R.; Streicker, D.G. and used these data as a case study in evaluating zoonotic potential using molecular sequencing Characterizing and Evaluating the data.
    [Show full text]
  • Opportunistic Intruders: How Viruses Orchestrate ER Functions to Infect Cells
    REVIEWS Opportunistic intruders: how viruses orchestrate ER functions to infect cells Madhu Sudhan Ravindran*, Parikshit Bagchi*, Corey Nathaniel Cunningham and Billy Tsai Abstract | Viruses subvert the functions of their host cells to replicate and form new viral progeny. The endoplasmic reticulum (ER) has been identified as a central organelle that governs the intracellular interplay between viruses and hosts. In this Review, we analyse how viruses from vastly different families converge on this unique intracellular organelle during infection, co‑opting some of the endogenous functions of the ER to promote distinct steps of the viral life cycle from entry and replication to assembly and egress. The ER can act as the common denominator during infection for diverse virus families, thereby providing a shared principle that underlies the apparent complexity of relationships between viruses and host cells. As a plethora of information illuminating the molecular and cellular basis of virus–ER interactions has become available, these insights may lead to the development of crucial therapeutic agents. Morphogenesis Viruses have evolved sophisticated strategies to establish The ER is a membranous system consisting of the The process by which a virus infection. Some viruses bind to cellular receptors and outer nuclear envelope that is contiguous with an intri‑ particle changes its shape and initiate entry, whereas others hijack cellular factors that cate network of tubules and sheets1, which are shaped by structure. disassemble the virus particle to facilitate entry. After resident factors in the ER2–4. The morphology of the ER SEC61 translocation delivering the viral genetic material into the host cell and is highly dynamic and experiences constant structural channel the translation of the viral genes, the resulting proteins rearrangements, enabling the ER to carry out a myriad An endoplasmic reticulum either become part of a new virus particle (or particles) of functions5.
    [Show full text]