1
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Mahar JE, Wille M, Harvey E, Moritz CC, Holmes EC. The diverse liver viromes of Australian geckos and skinks are dominated by hepaciviruses and picornaviruses and reflect host taxonomy and habitat. Virus Evol 2024; 10:veae044. [PMID: 38854849 PMCID: PMC11160328 DOI: 10.1093/ve/veae044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 04/28/2024] [Accepted: 05/28/2024] [Indexed: 06/11/2024] Open
Abstract
Lizards have diverse ecologies and evolutionary histories, and represent a promising group to explore how hosts shape virome structure and virus evolution. Yet, little is known about the viromes of these animals. In Australia, squamates (lizards and snakes) comprise the most diverse order of vertebrates, and Australia hosts the highest diversity of lizards globally, with the greatest breadth of habitat use. We used meta-transcriptomic sequencing to determine the virome of nine co-distributed, tropical lizard species from three taxonomic families in Australia and analyzed these data to identify host traits associated with viral abundance and diversity. We show that lizards carry a large diversity of viruses, identifying more than thirty novel, highly divergent vertebrate-associated viruses. These viruses were from nine viral families, including several that contain well known pathogens, such as the Flaviviridae, Picornaviridae, Bornaviridae, Iridoviridae, and Rhabdoviridae. Members of the Flaviviridae were particularly abundant across species sampled here, largely belonging to the genus Hepacivirus: fourteen novel hepaciviruses were identified, broadening the known diversity of this group and better defining its evolution by uncovering new reptilian clades. The evolutionary histories of the viruses studied here frequently aligned with the biogeographic and phylogenetic histories of the hosts, indicating that exogenous viruses may help infer host evolutionary history if sampling is strategic and sampling density high enough. Notably, analysis of alpha and beta diversity revealed that virome composition and richness in the animals sampled here was shaped by host taxonomy and habitat. In sum, we identified a diverse range of reptile viruses that broadly contributes to our understanding of virus-host ecology and evolution.
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Affiliation(s)
- Jackie E Mahar
- Sydney Institute for Infectious Diseases, School of Medical Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Michelle Wille
- Centre for Pathogen Genomics, Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Victoria 3000, Australia
| | - Erin Harvey
- Sydney Institute for Infectious Diseases, School of Medical Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Craig C Moritz
- Research School of Biology & Centre for Biodiversity Analysis, The Australian National University, Canberra, ACT 2600, Australia
| | - Edward C Holmes
- Sydney Institute for Infectious Diseases, School of Medical Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia
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2
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Xie K, Lin B, Sun X, Zhu P, Liu C, Liu G, Cao X, Pan J, Qiu S, Yuan X, Liang M, Jiang J, Yuan L. Identification and classification of the genomes of novel microviruses in poultry slaughterhouse. Front Microbiol 2024; 15:1393153. [PMID: 38756731 PMCID: PMC11096546 DOI: 10.3389/fmicb.2024.1393153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 04/11/2024] [Indexed: 05/18/2024] Open
Abstract
Microviridae is a family of phages with circular ssDNA genomes and they are widely found in various environments and organisms. In this study, virome techniques were employed to explore potential members of Microviridae in a poultry slaughterhouse, leading to the identification of 98 novel and complete microvirus genomes. Using a similarity clustering network classification approach, these viruses were found to belong to at least 6 new subfamilies within Microviridae and 3 higher-level taxonomic units. Genome size, GC content and genome structure of these new taxa showed evident regularities, validating the rationality of our classification method. Our method can divide microviruses into about 45 additional detailed clusters, which may serve as a new standard for classifying Microviridae members. Furthermore, by addressing the scarcity of host information for microviruses, the current study significantly broadened their host range and discovered over 20 possible new hosts, including important pathogenic bacteria such as Helicobacter pylori and Vibrio cholerae, as well as different taxa demonstrated different host specificities. The findings of this study effectively expand the diversity of the Microviridae family, providing new insights for their classification and identification. Additionally, it offers a novel perspective for monitoring and controlling pathogenic microorganisms in poultry slaughterhouse environments.
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Affiliation(s)
- Keming Xie
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong, China
| | - Benfu Lin
- Huadu District Animal Health Supervision Institution, Guangzhou, Guangdong, China
| | - Xinyu Sun
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Peng Zhu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong, China
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, China
| | - Chang Liu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong, China
| | - Guangfeng Liu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong, China
| | - Xudong Cao
- Department of Chemical and Biological Engineering, University of Ottawa, Ottawa, ON, Canada
| | - Jingqi Pan
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Suiping Qiu
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Xiaoqi Yuan
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Mengshi Liang
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
| | - Jingzhe Jiang
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong, China
| | - Lihong Yuan
- School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China
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3
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Ji J, Li C, Hu T, Tian Z, Li J, Xu L, Zhou H, Holmes EC, Shi W. Diverse RNA viruses in the venom-related microenvironment of different animal phyla. Virus Evol 2024; 10:veae024. [PMID: 38827419 PMCID: PMC11141596 DOI: 10.1093/ve/veae024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 02/17/2024] [Accepted: 02/28/2024] [Indexed: 06/04/2024] Open
Abstract
Venom is known as the source of natural antimicrobial products. Previous studies have largely focused on the expression of venom-related genes and the biochemical components of venom. With the advent of metagenomic sequencing, many more microorganisms, especially viruses, have been identified in highly diverse environments. Herein, we investigated the RNA virome in the venom-related microenvironment through analysis of a large volume of venom-related RNA-sequencing data mined from public databases. From this, we identified viral sequences belonging to thirty-six different viruses, of which twenty-two were classified as 'novel' as they exhibited less than 90 per cent amino acid identity to known viruses in the RNA-dependent RNA polymerase. Most of these novel viruses possessed genome structures similar to their closest relatives, with specific alterations in some cases. Phylogenetic analyses revealed that these viruses belonged to at least twenty-two viral families or unclassified groups, some of which were highly divergent from known taxa. Although further analysis failed to find venom-specific viruses, some viruses seemingly had much higher abundance in the venom-related microenvironment than in other tissues. In sum, our study provides insights into the RNA virome of the venom-related microenvironment from diverse animal phyla.
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Affiliation(s)
- Jingkai Ji
- School of Life Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 619 Changcheng Road, Taian 271000, China
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 2 Yingshengdonglu, Taian 271000, China
| | - Cixiu Li
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 2 Yingshengdonglu, Taian 271000, China
- School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 6699 Qingdao Road, Ji’nan 250117, China
| | - Tao Hu
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 2 Yingshengdonglu, Taian 271000, China
| | - Zhongshuai Tian
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 2 Yingshengdonglu, Taian 271000, China
- School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 6699 Qingdao Road, Ji’nan 250117, China
| | - Juan Li
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 2 Yingshengdonglu, Taian 271000, China
- School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 6699 Qingdao Road, Ji’nan 250117, China
| | - Lin Xu
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 2 Yingshengdonglu, Taian 271000, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 6699 Qingdao Road, Ji’nan 250117, China
| | - Hong Zhou
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 2 Yingshengdonglu, Taian 271000, China
- School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 6699 Qingdao Road, Ji’nan 250117, China
| | - Edward C Holmes
- Sydney Institute for Infectious Diseases, School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia
- School of Life & Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Weifeng Shi
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, No. 2 Yingshengdonglu, Taian 271000, China
- Shanghai Institute of Virology, Shanghai Jiao Tong University School of Medicine, No. 227 Chongqingnanlu, Shanghai 200025, China
- Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijinerlu, Shanghai 200025, China
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Jaenson TGT, Gray JS, Lindgren PE, Wilhelmsson P. Coinfection of Babesia and Borrelia in the Tick Ixodes ricinus-A Neglected Public Health Issue in Europe? Pathogens 2024; 13:81. [PMID: 38251388 PMCID: PMC10818971 DOI: 10.3390/pathogens13010081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/09/2024] [Accepted: 01/15/2024] [Indexed: 01/23/2024] Open
Abstract
Ixodes ricinus nymphs and adults removed from humans, and larvae and nymphs from birds, have been analysed for infection with Babesia species and Borrelia species previously in separately published studies. Here, we use the same data set to explore the coinfection pattern of Babesia and Borrelia species in the ticks. We also provide an overview of the ecology and potential public health importance in Sweden of I. ricinus infected both with zoonotic Babesia and Borrelia species. Among 1952 nymphs and adult ticks removed from humans, 3.1% were PCR-positive for Babesia spp. Of these Babesia-positive ticks, 43% were simultaneously Borrelia-positive. Among 1046 immatures of I. ricinus removed from birds, 2.5% were Babesia-positive, of which 38% were coinfected with Borrelia species. This study shows that in I. ricinus infesting humans or birds in Sweden, potentially zoonotic Babesia protozoa sometimes co-occur with human-pathogenic Borrelia spp. Diagnostic tests for Babesia spp. infection are rarely performed in Europe, and the medical significance of this pathogen in Europe could be underestimated.
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Affiliation(s)
- Thomas G. T. Jaenson
- Evolutionary Biology Centre, Department of Organismal Biology, Uppsala University, Norbyvägen 18d, SE-752 36 Uppsala, Sweden;
| | - Jeremy S. Gray
- UCD School of Biology and Environmental Science, University College Dublin, D04 N2E5 Dublin, Ireland;
| | - Per-Eric Lindgren
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, SE-581 83 Linköping, Sweden;
- Department of Clinical Microbiology, Region Jönköping County, SE-551 11 Jönköping, Sweden
| | - Peter Wilhelmsson
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, SE-581 83 Linköping, Sweden;
- Department of Clinical Microbiology, Region Jönköping County, SE-551 11 Jönköping, Sweden
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5
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Bejerman N, Dietzgen R, Debat H. Novel Tri-Segmented Rhabdoviruses: A Data Mining Expedition Unveils the Cryptic Diversity of Cytorhabdoviruses. Viruses 2023; 15:2402. [PMID: 38140643 PMCID: PMC10747219 DOI: 10.3390/v15122402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/07/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
Cytorhabdoviruses (genus Cytorhabdovirus, family Rhabdoviridae) are plant-infecting viruses with enveloped, bacilliform virions. Established members of the genus Cytorhabdovirus have unsegmented single-stranded negative-sense RNA genomes (ca. 10-16 kb) which encode four to ten proteins. Here, by exploring large publicly available metatranscriptomics datasets, we report the identification and genomic characterization of 93 novel viruses with genetic and evolutionary cues of cytorhabdoviruses. Strikingly, five unprecedented viruses with tri-segmented genomes were also identified. This finding represents the first tri-segmented viruses in the family Rhabdoviridae, and they should be classified in a novel genus within this family for which we suggest the name "Trirhavirus". Interestingly, the nucleocapsid and polymerase were the only typical rhabdoviral proteins encoded by those tri-segmented viruses, whereas in three of them, a protein similar to the emaravirus (family Fimoviridae) silencing suppressor was found, while the other predicted proteins had no matches in any sequence databases. Genetic distance and evolutionary insights suggest that all these novel viruses may represent members of novel species. Phylogenetic analyses, of both novel and previously classified plant rhabdoviruses, provide compelling support for the division of the genus Cytorhabdovirus into three distinct genera. This proposed reclassification not only enhances our understanding of the evolutionary dynamics within this group of plant rhabdoviruses but also illuminates the remarkable genomic diversity they encompass. This study not only represents a significant expansion of the genomics of cytorhabdoviruses that will enable future research on the evolutionary peculiarity of this genus but also shows the plasticity in the rhabdovirus genome organization with the discovery of tri-segmented members with a unique evolutionary trajectory.
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Affiliation(s)
- Nicolas Bejerman
- Instituto de Patología Vegetal—Centro de Investigaciones Agropecuarias—Instituto Nacional de Tecnología Agropecuaria (IPAVE—CIAP—INTA), Camino 60 Cuadras Km 5,5, Córdoba X5020ICA, Argentina
- Unidad de Fitopatología y Modelización Agrícola, Consejo Nacional de Investigaciones Científicas y Técnicas, Camino 60 Cuadras Km 5,5, Córdoba X5020ICA, Argentina
| | - Ralf Dietzgen
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD 4072, Australia
| | - Humberto Debat
- Instituto de Patología Vegetal—Centro de Investigaciones Agropecuarias—Instituto Nacional de Tecnología Agropecuaria (IPAVE—CIAP—INTA), Camino 60 Cuadras Km 5,5, Córdoba X5020ICA, Argentina
- Unidad de Fitopatología y Modelización Agrícola, Consejo Nacional de Investigaciones Científicas y Técnicas, Camino 60 Cuadras Km 5,5, Córdoba X5020ICA, Argentina
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6
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Morens DM, Park J, Taubenberger JK. Many potential pathways to future pandemic influenza. Sci Transl Med 2023; 15:eadj2379. [PMID: 37851826 DOI: 10.1126/scitranslmed.adj2379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Abstract
Although influenza A viruses have caused pandemics for centuries, future pandemics cannot be predicted with our current understanding and resources. Concern about an H5N1 avian influenza pandemic has caused alarm since 1997, but there are many other possible routes to pandemic influenza.
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Affiliation(s)
- David M Morens
- Office of the Director, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jaekeun Park
- Department of Veterinary Medicine, VA-MD College of Veterinary Medicine, University of Maryland, College Park, MD 20742, USA
| | - Jeffery K Taubenberger
- Viral Pathogenesis and Evolution Section, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
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7
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Ben Geoffrey AS, Gracia J. A Bayesian walker coupled with a computational workflow that generates the micro-evolution of SARS-CoV-2 and makes predictions of new mutations that can emerge. J Biomol Struct Dyn 2023:1-9. [PMID: 37771150 DOI: 10.1080/07391102.2023.2263798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 09/22/2023] [Indexed: 09/30/2023]
Abstract
In this work, a Bayesian walker was constructed that generates mutations that are more prone as per UNIPROT variant data. The Bayesian walker was used to search the mutational landscape of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) and a computational workflow was followed to evaluate whether a particular mutation would satisfy natural selection's fitness criteria. For SARS-CoV-2, the empirical known fitness criteria derived from SARS-CoV-2 micro-evolution data is 3-fold criteria. Mutations that have emerged on the Spike protein of SARS-CoV-2 are ones that preserve the structural integrity of the Spike, retain, or increase infectivity and are Immune evasive as per literature reports. Based on the molecular mechanism of infectivity and Immune evasion of SARS-CoV-2, a molecular modelling workflow was adopted to investigate the evolutionary feasibility of the mutations generated by the walker, to check whether the mutations satisfy the 3-fold fitness criteria for SARS-CoV-2 micro-evolution. It was found that the walker (mutation generator) coupled with the computational workflow to evaluate the evolutionary fitness of the generated mutations, re-generated the mutants corresponding to the Alpha, Beta and Gamma variants of SARS-CoV-2 demonstrating the ability of the methodology to generate the micro-evolution of SARS-CoV-2. Having demonstrated the ability of the methodology to generate the micro-evolution of SARS-CoV-2, the computational methodology was used to make predictions for new mutants that could emerge.Communicated by Ramaswamy H. Sarma.
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Qi YH, Ye ZX, Zhang CX, Chen JP, Li JM. Diversity of RNA viruses in agricultural insects. Comput Struct Biotechnol J 2023; 21:4312-4321. [PMID: 37711182 PMCID: PMC10497914 DOI: 10.1016/j.csbj.2023.08.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/31/2023] [Accepted: 08/31/2023] [Indexed: 09/16/2023] Open
Abstract
Recent advancements in next-generation sequencing (NGS) technology and bioinformatics tools have revealed a vast array of viral diversity in insects, particularly RNA viruses. However, our current understanding of insect RNA viruses has primarily focused on hematophagous insects due to their medical importance, while research on the viromes of agriculturally relevant insects remains limited. This comprehensive review aims to address the gap by providing an overview of the diversity of RNA viruses in agricultural pests and beneficial insects within the agricultural ecosystem. Based on the NCBI Virus Database, over eight hundred RNA viruses belonging to 39 viral families have been reported in more than three hundred agricultural insect species. These viruses are predominantly found in the insect orders of Hymenoptera, Hemiptera, Thysanoptera, Lepidoptera, Diptera, Coleoptera, and Orthoptera. These findings have significantly enriched our understanding of RNA viral diversity in agricultural insects. While further virome investigations are necessary to expand our knowledge to more insect species, it is crucial to explore the biological roles of these identified RNA viruses within insects in future studies. This review also highlights the limitations and challenges for the effective virus discovery through NGS and their potential solutions, which might facilitate for the development of innovative bioinformatic tools in the future.
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Affiliation(s)
- Yu-Hua Qi
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Zhuang-Xin Ye
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Chuan-Xi Zhang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Jian-Ping Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
| | - Jun-Min Li
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo 315211, China
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Andoh K, Hidano A, Sakamoto Y, Sawai K, Arai N, Suda Y, Mine J, Oka T. Current research and future directions for realizing the ideal One-Health approach: A summary of key-informant interviews in Japan and a literature review. One Health 2023; 16:100468. [PMID: 36507073 PMCID: PMC9721418 DOI: 10.1016/j.onehlt.2022.100468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 11/30/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
The COVID-19 pandemic has highlighted the importance of the One Health (OH) approach, which considers the health of humans, animals, and the environment in preventing future pandemics. A wide range of sustainable interdisciplinary collaborations are required to truly fulfill the purpose of the OH approach. It is well-recognized, however, that such collaborations are challenging. In this study, we undertook key-informant interviews with a panel of stakeholders from Japan to identify their perceived needs and challenges related to OH research. This panel included scientists, government officials, journalists, and industry stakeholders. By combining a thematic analysis of these interviews and a literature review, we summarized two key themes pertinent to the effective implementation of OH research: types of required research and systems to support that research. As a technological issue, interviewees suggested the importance of research and development of methodologies that can promote the integration and collaboration of research fields that are currently fragmented. An example of such a methodology would allow researchers to obtain high-resolution metadata (e.g. ecological and wildlife data) with high throughput and then maximize the use of the obtained metadata in research, such as in environmental DNA analysis, database construction, or the use of computational algorithms to find novel viral genomes. In terms of systems surrounding OH research, some interviewees stressed the importance of creating a sustainable research system, such as one that has continuous budget support and allows researchers to pursue their academic careers and interests. These perceptions and challenges held by Japanese stakeholders may be common to others around the world. We hope this review will encourage more researchers and others to work together to create a resilient society against future pandemics.
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Affiliation(s)
- Kiyohiko Andoh
- National Institute of Animal Health, National Agriculture and Food Research Organization, 3-1-5 Kannondai, Tsukuba, Ibaraki 305-0856, Japan
- Corresponding author at: National Institute of Animal Health, National Agriculture and Food Research Organization, 3-1-5 Kannondai, Tsukuba, Ibaraki 305-0856, Japan.
| | - Arata Hidano
- Communicable Diseases Policy Research Group, Department of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, United Kingdom
| | - Yoshiko Sakamoto
- National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan
| | - Kotaro Sawai
- National Institute of Animal Health, National Agriculture and Food Research Organization, 3-1-5 Kannondai, Tsukuba, Ibaraki 305-0856, Japan
| | - Nobuo Arai
- National Institute of Animal Health, National Agriculture and Food Research Organization, 3-1-5 Kannondai, Tsukuba, Ibaraki 305-0856, Japan
| | - Yuto Suda
- National Institute of Animal Health, National Agriculture and Food Research Organization, 3-1-5 Kannondai, Tsukuba, Ibaraki 305-0856, Japan
| | - Junki Mine
- National Institute of Animal Health, National Agriculture and Food Research Organization, 3-1-5 Kannondai, Tsukuba, Ibaraki 305-0856, Japan
| | - Takehiko Oka
- World Fusion Co., Ltd., 1-38-12 Nihonbashi Kakigara-cho, Yusho-kaikann 2F, Chuo-ku, Tokyo, 103-0014, Japan
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10
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Imrie RM, Walsh SK, Roberts KE, Lello J, Longdon B. Investigating the outcomes of virus coinfection within and across host species. PLoS Pathog 2023; 19:e1011044. [PMID: 37216391 DOI: 10.1371/journal.ppat.1011044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 05/02/2023] [Indexed: 05/24/2023] Open
Abstract
Interactions between coinfecting pathogens have the potential to alter the course of infection and can act as a source of phenotypic variation in susceptibility between hosts. This phenotypic variation may influence the evolution of host-pathogen interactions within host species and interfere with patterns in the outcomes of infection across host species. Here, we examine experimental coinfections of two Cripaviruses-Cricket Paralysis Virus (CrPV), and Drosophila C Virus (DCV)-across a panel of 25 Drosophila melanogaster inbred lines and 47 Drosophilidae host species. We find that interactions between these viruses alter viral loads across D. melanogaster genotypes, with a ~3 fold increase in the viral load of DCV and a ~2.5 fold decrease in CrPV in coinfection compared to single infection, but we find little evidence of a host genetic basis for these effects. Across host species, we find no evidence of systematic changes in susceptibility during coinfection, with no interaction between DCV and CrPV detected in the majority of host species. These results suggest that phenotypic variation in coinfection interactions within host species can occur independently of natural host genetic variation in susceptibility, and that patterns of susceptibility across host species to single infections can be robust to the added complexity of coinfection.
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Affiliation(s)
- Ryan M Imrie
- Centre for Ecology & Conservation, Faculty of Environment, Science, and Economy, Biosciences, University of Exeter, Penryn Campus, Penryn, United Kingdom
| | - Sarah K Walsh
- Centre for Ecology & Conservation, Faculty of Environment, Science, and Economy, Biosciences, University of Exeter, Penryn Campus, Penryn, United Kingdom
| | - Katherine E Roberts
- Centre for Ecology & Conservation, Faculty of Environment, Science, and Economy, Biosciences, University of Exeter, Penryn Campus, Penryn, United Kingdom
| | - Joanne Lello
- School of Biosciences, Cardiff University, Cardiff, United Kingdom
| | - Ben Longdon
- Centre for Ecology & Conservation, Faculty of Environment, Science, and Economy, Biosciences, University of Exeter, Penryn Campus, Penryn, United Kingdom
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11
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Olendraite I, Brown K, Firth AE. Identification of RNA Virus-Derived RdRp Sequences in Publicly Available Transcriptomic Data Sets. Mol Biol Evol 2023; 40:msad060. [PMID: 37014783 PMCID: PMC10101049 DOI: 10.1093/molbev/msad060] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 01/15/2023] [Accepted: 03/08/2023] [Indexed: 04/05/2023] Open
Abstract
RNA viruses are abundant and highly diverse and infect all or most eukaryotic organisms. However, only a tiny fraction of the number and diversity of RNA virus species have been catalogued. To cost-effectively expand the diversity of known RNA virus sequences, we mined publicly available transcriptomic data sets. We developed 77 family-level Hidden Markov Model profiles for the viral RNA-dependent RNA polymerase (RdRp)-the only universal "hallmark" gene of RNA viruses. By using these to search the National Center for Biotechnology Information Transcriptome Shotgun Assembly database, we identified 5,867 contigs encoding RNA virus RdRps or fragments thereof and analyzed their diversity, taxonomic classification, phylogeny, and host associations. Our study expands the known diversity of RNA viruses, and the 77 curated RdRp Profile Hidden Markov Models provide a useful resource for the virus discovery community.
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Affiliation(s)
- Ingrida Olendraite
- Division of Virology, Department of Pathology, Addenbrookes Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Katherine Brown
- Division of Virology, Department of Pathology, Addenbrookes Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Andrew E Firth
- Division of Virology, Department of Pathology, Addenbrookes Hospital, University of Cambridge, Cambridge, United Kingdom
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12
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Rivarez MPS, Pecman A, Bačnik K, Maksimović O, Vučurović A, Seljak G, Mehle N, Gutiérrez-Aguirre I, Ravnikar M, Kutnjak D. In-depth study of tomato and weed viromes reveals undiscovered plant virus diversity in an agroecosystem. MICROBIOME 2023; 11:60. [PMID: 36973750 PMCID: PMC10042675 DOI: 10.1186/s40168-023-01500-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 02/20/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND In agroecosystems, viruses are well known to influence crop health and some cause phytosanitary and economic problems, but their diversity in non-crop plants and role outside the disease perspective is less known. Extensive virome explorations that include both crop and diverse weed plants are therefore needed to better understand roles of viruses in agroecosystems. Such unbiased exploration is available through viromics, which could generate biological and ecological insights from immense high-throughput sequencing (HTS) data. RESULTS Here, we implemented HTS-based viromics to explore viral diversity in tomatoes and weeds in farming areas at a nation-wide scale. We detected 125 viruses, including 79 novel species, wherein 65 were found exclusively in weeds. This spanned 21 higher-level plant virus taxa dominated by Potyviridae, Rhabdoviridae, and Tombusviridae, and four non-plant virus families. We detected viruses of non-plant hosts and viroid-like sequences and demonstrated infectivity of a novel tobamovirus in plants of Solanaceae family. Diversities of predominant tomato viruses were variable, in some cases, comparable to that of global isolates of the same species. We phylogenetically classified novel viruses and showed links between a subgroup of phylogenetically related rhabdoviruses to their taxonomically related host plants. Ten classified viruses detected in tomatoes were also detected in weeds, which might indicate possible role of weeds as their reservoirs and that these viruses could be exchanged between the two compartments. CONCLUSIONS We showed that even in relatively well studied agroecosystems, such as tomato farms, a large part of very diverse plant viromes can still be unknown and is mostly present in understudied non-crop plants. The overlapping presence of viruses in tomatoes and weeds implicate possible presence of virus reservoir and possible exchange between the weed and crop compartments, which may influence weed management decisions. The observed variability and widespread presence of predominant tomato viruses and the infectivity of a novel tobamovirus in solanaceous plants, provided foundation for further investigation of virus disease dynamics and their effect on tomato health. The extensive insights we generated from such in-depth agroecosystem virome exploration will be valuable in anticipating possible emergences of plant virus diseases and would serve as baseline for further post-discovery characterization studies. Video Abstract.
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Affiliation(s)
- Mark Paul Selda Rivarez
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, Ljubljana, 1000 Slovenia
- Jožef Stefan International Postgraduate School, Jamova cesta 39, Ljubljana, 1000 Slovenia
- Present Address: College of Agriculture and Agri-Industries, Caraga State University, Ampayon, Butuan City, 8600 Philippines
| | - Anja Pecman
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, Ljubljana, 1000 Slovenia
- Jožef Stefan International Postgraduate School, Jamova cesta 39, Ljubljana, 1000 Slovenia
| | - Katarina Bačnik
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, Ljubljana, 1000 Slovenia
| | - Olivera Maksimović
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, Ljubljana, 1000 Slovenia
- Jožef Stefan International Postgraduate School, Jamova cesta 39, Ljubljana, 1000 Slovenia
| | - Ana Vučurović
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, Ljubljana, 1000 Slovenia
| | - Gabrijel Seljak
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, Ljubljana, 1000 Slovenia
| | - Nataša Mehle
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, Ljubljana, 1000 Slovenia
- School for Viticulture and Enology, University of Nova Gorica, Dvorec Lanthieri Glavni trg 8, Vipava, 5271 Slovenia
| | - Ion Gutiérrez-Aguirre
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, Ljubljana, 1000 Slovenia
| | - Maja Ravnikar
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, Ljubljana, 1000 Slovenia
| | - Denis Kutnjak
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, Ljubljana, 1000 Slovenia
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13
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Debat H, Garcia ML, Bejerman N. Expanding the Repertoire of the Plant-Infecting Ophioviruses through Metatranscriptomics Data. Viruses 2023; 15:v15040840. [PMID: 37112821 PMCID: PMC10144540 DOI: 10.3390/v15040840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 03/16/2023] [Accepted: 03/23/2023] [Indexed: 03/29/2023] Open
Abstract
Ophioviruses (genus Ophiovirus, family Aspiviridae) are plant-infecting viruses with non-enveloped, filamentous, naked nucleocapsid virions. Members of the genus Ophiovirus have a segmented single-stranded negative-sense RNA genome (ca. 11.3–12.5 kb), encompassing three or four linear segments. In total, these segments encode four to seven proteins in the sense and antisense orientation, both in the viral and complementary strands. The genus Ophiovirus includes seven species with viruses infecting both monocots and dicots, mostly trees, shrubs and some ornamentals. From a genomic perspective, as of today, there are complete genomes available for only four species. Here, by exploring large publicly available metatranscriptomics datasets, we report the identification and molecular characterization of 33 novel viruses with genetic and evolutionary cues of ophioviruses. Genetic distance and evolutionary insights suggest that all the detected viruses could correspond to members of novel species, which expand the current diversity of ophioviruses ca. 4.5-fold. The detected viruses increase the tentative host range of ophioviruses for the first time to mosses, liverwort and ferns. In addition, the viruses were linked to several Asteraceae, Orchidaceae and Poaceae crops/ornamental plants. Phylogenetic analyses showed a novel clade of mosses, liverworts and fern ophioviruses, characterized by long branches, suggesting that there is still plenty of unsampled hidden diversity within the genus. This study represents a significant expansion of the genomics of ophioviruses, opening the door to future works on the molecular and evolutionary peculiarity of this virus genus.
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Affiliation(s)
- Humberto Debat
- Instituto de Patología Vegetal, Centro de Investigaciones Agropecuarias, Instituto Nacional de Tecnología Agropecuaria (IPAVE-CIAP-INTA), Camino 60 Cuadras Km 5,5, Córdoba X5020ICA, Argentina
- Unidad de Fitopatología y Modelización Agrícola, Consejo Nacional de Investigaciones Científicas y Técnicas, Camino 60 Cuadras Km 5,5, Córdoba X5020ICA, Argentina
- Correspondence: (H.D.); (N.B.)
| | - Maria Laura Garcia
- Instituto de Biotecnología y Biología Molecular (IBBM-CONICET-UNLP), Facultad de Ciencias Exactas, Universidad Nacional de La Plata, Calle 50 y 115, La Plata 1900, Argentina
| | - Nicolas Bejerman
- Instituto de Patología Vegetal, Centro de Investigaciones Agropecuarias, Instituto Nacional de Tecnología Agropecuaria (IPAVE-CIAP-INTA), Camino 60 Cuadras Km 5,5, Córdoba X5020ICA, Argentina
- Unidad de Fitopatología y Modelización Agrícola, Consejo Nacional de Investigaciones Científicas y Técnicas, Camino 60 Cuadras Km 5,5, Córdoba X5020ICA, Argentina
- Correspondence: (H.D.); (N.B.)
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14
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Plyusnin I, Vapalahti O, Sironen T, Kant R, Smura T. Enhanced Viral Metagenomics with Lazypipe 2. Viruses 2023; 15:v15020431. [PMID: 36851645 PMCID: PMC9960287 DOI: 10.3390/v15020431] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/29/2023] [Accepted: 01/31/2023] [Indexed: 02/08/2023] Open
Abstract
Viruses are the main agents causing emerging and re-emerging infectious diseases. It is therefore important to screen for and detect them and uncover the evolutionary processes that support their ability to jump species boundaries and establish themselves in new hosts. Metagenomic next-generation sequencing (mNGS) is a high-throughput, impartial technology that has enabled virologists to detect either known or novel, divergent viruses from clinical, animal, wildlife and environmental samples, with little a priori assumptions. mNGS is heavily dependent on bioinformatic analysis, with an emerging demand for integrated bioinformatic workflows. Here, we present Lazypipe 2, an updated mNGS pipeline with, as compared to Lazypipe1, significant improvements in code stability and transparency, with added functionality and support for new software components. We also present extensive benchmarking results, including evaluation of a novel canine simulated metagenome, precision and recall of virus detection at varying sequencing depth, and a low to extremely low proportion of viral genetic material. Additionally, we report accuracy of virus detection with two strategies: homology searches using nucleotide or amino acid sequences. We show that Lazypipe 2 with nucleotide-based annotation approaches near perfect detection for eukaryotic viruses and, in terms of accuracy, outperforms the compared pipelines. We also discuss the importance of homology searches with amino acid sequences for the detection of highly divergent novel viruses.
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Affiliation(s)
- Ilya Plyusnin
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland
- Department of Virology, University of Helsinki, 00014 Helsinki, Finland
- Correspondence:
| | - Olli Vapalahti
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland
- Department of Virology, University of Helsinki, 00014 Helsinki, Finland
- HUS Diagnostic Center, Clinical Microbiology, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland
| | - Tarja Sironen
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland
- Department of Virology, University of Helsinki, 00014 Helsinki, Finland
| | - Ravi Kant
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland
- Department of Virology, University of Helsinki, 00014 Helsinki, Finland
- Department of Tropical Parasitology, Institute of Maritime and Tropical Medicine, Medical University of Gdansk, 81-519 Gdynia, Poland
| | - Teemu Smura
- Department of Virology, University of Helsinki, 00014 Helsinki, Finland
- HUS Diagnostic Center, Clinical Microbiology, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland
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15
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Jiang JZ, Yuan WG, Shang J, Shi YH, Yang LL, Liu M, Zhu P, Jin T, Sun Y, Yuan LH. Virus classification for viral genomic fragments using PhaGCN2. Brief Bioinform 2023; 24:6868523. [PMID: 36464489 DOI: 10.1093/bib/bbac505] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 10/24/2022] [Accepted: 10/24/2022] [Indexed: 12/12/2022] Open
Abstract
Viruses are the most ubiquitous and diverse entities in the biome. Due to the rapid growth of newly identified viruses, there is an urgent need for accurate and comprehensive virus classification, particularly for novel viruses. Here, we present PhaGCN2, which can rapidly classify the taxonomy of viral sequences at the family level and supports the visualization of the associations of all families. We evaluate the performance of PhaGCN2 and compare it with the state-of-the-art virus classification tools, such as vConTACT2, CAT and VPF-Class, using the widely accepted metrics. The results show that PhaGCN2 largely improves the precision and recall of virus classification, increases the number of classifiable virus sequences in the Global Ocean Virome dataset (v2.0) by four times and classifies more than 90% of the Gut Phage Database. PhaGCN2 makes it possible to conduct high-throughput and automatic expansion of the database of the International Committee on Taxonomy of Viruses. The source code is freely available at https://github.com/KennthShang/PhaGCN2.0.
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Affiliation(s)
- Jing-Zhe Jiang
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, Guangdong, China.,Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, Guangdong, China.,College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China.,Tianjin Agricultural University, Tianjin 300384, China
| | - Wen-Guang Yuan
- Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, Guangdong, China
| | - Jiayu Shang
- Department of Electrical Engineering, City University of Hong Kong, Hong Kong (SAR), China
| | - Ying-Hui Shi
- Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, Guangdong, China
| | - Li-Ling Yang
- Tianjin Agricultural University, Tianjin 300384, China
| | - Min Liu
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China
| | - Peng Zhu
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China
| | - Tao Jin
- Guangdong Magigene Biotechnology Co., Ltd, Guangzhou 510000, Guangdong, China
| | - Yanni Sun
- Department of Electrical Engineering, City University of Hong Kong, Hong Kong (SAR), China
| | - Li-Hong Yuan
- Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, Guangdong, China
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16
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Dominguez-Huerta G, Wainaina JM, Zayed AA, Culley AI, Kuhn JH, Sullivan MB. The RNA virosphere: How big and diverse is it? Environ Microbiol 2023; 25:209-215. [PMID: 36511833 PMCID: PMC9852017 DOI: 10.1111/1462-2920.16312] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 12/10/2022] [Indexed: 12/15/2022]
Affiliation(s)
- Guillermo Dominguez-Huerta
- Department of Microbiology, Ohio State University, Columbus, Ohio, USA.,Center of Microbiome Science, Ohio State University, Columbus, Ohio, USA
| | - James M Wainaina
- Department of Microbiology, Ohio State University, Columbus, Ohio, USA.,Center of Microbiome Science, Ohio State University, Columbus, Ohio, USA
| | - Ahmed A Zayed
- Department of Microbiology, Ohio State University, Columbus, Ohio, USA.,Center of Microbiome Science, Ohio State University, Columbus, Ohio, USA
| | - Alexander I Culley
- Pacific Biosciences Research Center, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA
| | - Jens H Kuhn
- Integrated Research Facility at Fort Detrick, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, Maryland, USA
| | - Matthew B Sullivan
- Department of Microbiology, Ohio State University, Columbus, Ohio, USA.,Center of Microbiome Science, Ohio State University, Columbus, Ohio, USA.,Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, Ohio, USA
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17
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Is the Intergenic Region of Aedes aegypti Totivirus a Recombination Hotspot? Viruses 2022; 14:v14112467. [PMID: 36366565 PMCID: PMC9699231 DOI: 10.3390/v14112467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 11/09/2022] Open
Abstract
The genus totivirus in the family Totiviridae contains double-stranded RNA viruses. Their genome has two open reading frames (ORFs) that encode capsid protein (CP) and RNA-dependent RNA polymerase (RdRp). The toti-like viruses recently identified in Anopheles sp. and Aedes aegypti mosquitoes (AaTV) share the same genome organization as other totiviruses. The AaTVs that have been described in distinct geographical regions are monophyletic. In this study, we show that AaTV sequences can be grouped into at least three phylogenetic clades (named A, B, and C). Clades A and B are composed of AaTV sequences from mosquitoes collected in the Caribbean region (Guadeloupe), and clade C contains sequences from the USA. These clades may represent AaTV lineages that are locally adapted to their host populations. We also identified three recombinant AaTV strains circulating in mosquitoes in Guadeloupe. Although these strains have different chimeric patterns, the position of the recombination breakpoint was identical in all strains. Interestingly, this breakpoint is located in a hairpin-like structure in the intergenic region of the AaTV genome. This RNA structure may stall RNA polymerase processivity and consequently induce template switching. In vitro studies should be conducted to further investigate the biological significance of AaTV's intergenic region as a recombination hotspot.
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18
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Howell AA, Versoza CJ, Cerna G, Johnston T, Kakde S, Karuku K, Kowal M, Monahan J, Murray J, Nguyen T, Sanchez Carreon A, Streiff A, Su B, Youkhana F, Munig S, Patel Z, So M, Sy M, Weiss S, Pfeifer SP. Phylogenomic analyses and host range prediction of cluster P mycobacteriophages. G3 (BETHESDA, MD.) 2022; 12:jkac244. [PMID: 36094333 PMCID: PMC9635641 DOI: 10.1093/g3journal/jkac244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 09/07/2022] [Indexed: 06/15/2023]
Abstract
Bacteriophages, infecting bacterial hosts in every environment on our planet, are a driver of adaptive evolution in bacterial communities. At the same time, the host range of many bacteriophages-and thus one of the selective pressures acting on complex microbial systems in nature-remains poorly characterized. Here, we computationally inferred the putative host ranges of 40 cluster P mycobacteriophages, including members from 6 subclusters (P1-P6). A series of comparative genomic analyses revealed that mycobacteriophages of subcluster P1 are restricted to the Mycobacterium genus, whereas mycobacteriophages of subclusters P2-P6 are likely also able to infect other genera, several of which are commonly associated with human disease. Further genomic analysis highlighted that the majority of cluster P mycobacteriophages harbor a conserved integration-dependent immunity system, hypothesized to be the ancestral state of a genetic switch that controls the shift between lytic and lysogenic life cycles-a temperate characteristic that impedes their usage in antibacterial applications.
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Affiliation(s)
| | | | - Gabriella Cerna
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
- Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Tyler Johnston
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Shriya Kakde
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Keith Karuku
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Maria Kowal
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Jasmine Monahan
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Jillian Murray
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Teresa Nguyen
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Aurely Sanchez Carreon
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
- Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Abigail Streiff
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Blake Su
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
- School of Politics and Global Studies, Arizona State University, Tempe, AZ 85281, USA
| | - Faith Youkhana
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Saige Munig
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Zeel Patel
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Minerva So
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Makena Sy
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Sarah Weiss
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Susanne P Pfeifer
- Corresponding author: Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA.
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19
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Han Z, Xiao J, Song Y, Zhao X, Sun Q, Lu H, Zhang K, Li J, Li J, Si F, Zhang G, Zhao H, Jia S, Zhou J, Wang D, Zhu S, Yan D, Xu W, Fu X, Zhang Y. Highly diverse ribonucleic acid viruses in the viromes of eukaryotic host species in Yunnan province, China. Front Microbiol 2022; 13:1019444. [PMID: 36312977 PMCID: PMC9606678 DOI: 10.3389/fmicb.2022.1019444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 09/20/2022] [Indexed: 11/17/2022] Open
Abstract
Background The diversity in currently documented viruses and their morphological characteristics indicates the need for understanding the evolutionary characteristics of viruses. Notably, further studies are needed to obtain a comprehensive landscape of virome, the virome of host species in Yunnan province, China. Materials and methods We implemented the metagenomic next-generation sequencing strategy to investigate the viral diversity, which involved in 465 specimens collected from bats, pangolins, monkeys, and other species. The diverse RNA viruses were analyzed, especially focusing on the genome organization, genetic divergence and phylogenetic relationships. Results In this study, we investigated the viral composition of eight libraries from bats, pangolins, monkeys, and other species, and found several diverse RNA viruses, including the Alphacoronavirus from bat specimens. By characterizing the genome organization, genetic divergence, and phylogenetic relationships, we identified five Alphacoronavirus strains, which shared phylogenetic association with Bat-CoV-HKU8-related strains. The pestivirus-like virus related to recently identified Dongyang pangolin virus (DYPV) strains from dead pangolin specimens, suggesting that these viruses are evolving. Some genomes showed higher divergence from known species (e.g., calicivirus CS9-Cali-YN-CHN-2020), and many showed evidence of recombination events with unknown or known strains (e.g., mamastroviruses BF2-astro-YN-CHN-2020 and EV-A122 AKM5-YN-CHN-2020). The newly identified viruses showed extensive changes and could be assigned as new species, or even genus (e.g., calicivirus CS9-Cali-YN-CHN-2020 and iflavirus Ifla-YN-CHN-2020). Moreover, we identified several highly divergent RNA viruses and estimated their evolutionary characteristics among different hosts, providing data for further examination of their evolutionary dynamics. Conclusion Overall, our study emphasizes the close association between emerging viruses and infectious diseases, and the need for more comprehensive surveys.
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Affiliation(s)
- Zhenzhi Han
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Laboratory of Virology, Beijing Key Laboratory of Etiology of Viral Diseases in Children, Capital Institute of Pediatrics, Beijing, China
| | - Jinbo Xiao
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yang Song
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaonan Zhao
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Qiang Sun
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huanhuan Lu
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Keyi Zhang
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jichen Li
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Junhan Li
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fenfen Si
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guoyan Zhang
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hehe Zhao
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Senquan Jia
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Jienan Zhou
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Dongyan Wang
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuangli Zhu
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dongmei Yan
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenbo Xu
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
| | - Xiaoqing Fu
- Yunnan Center for Disease Control and Prevention, Kunming, China
- Xiaoqing Fu,
| | - Yong Zhang
- National Laboratory for Poliomyelitis, WHO Western Pacific Region Office (WPRO) Regional Polio Reference Laboratory, National Health Commission (NHC) Key Laboratory for Biosafety, NHC Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
- *Correspondence: Yong Zhang,
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20
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Bejerman N, Dietzgen RG, Debat H. Unlocking the Hidden Genetic Diversity of Varicosaviruses, the Neglected Plant Rhabdoviruses. Pathogens 2022; 11:1127. [PMID: 36297184 PMCID: PMC9608074 DOI: 10.3390/pathogens11101127] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 09/27/2022] [Accepted: 09/27/2022] [Indexed: 09/28/2023] Open
Abstract
The genus Varicosavirus is one of six genera of plant-infecting rhabdoviruses. Varicosaviruses have non-enveloped, flexuous, rod-shaped virions and a negative-sense, single-stranded RNA genome. A distinguishing feature of varicosaviruses, which is shared with dichorhaviruses, is a bi-segmented genome. Before 2017, a sole varicosavirus was known and characterized, and then two more varicosaviruses were identified through high-throughput sequencing in 2017 and 2018. More recently, the number of known varicosaviruses has substantially increased in concert with the extensive use of high-throughput sequencing platforms and data mining approaches. The novel varicosaviruses have revealed not only sequence diversity, but also plasticity in terms of genome architecture, including a virus with a tentatively unsegmented genome. Here, we report the discovery of 45 novel varicosavirus genomes which were identified in publicly available metatranscriptomic data. The identification, assembly, and curation of the raw Sequence Read Archive reads has resulted in 39 viral genome sequences with full-length coding regions and 6 with nearly complete coding regions. The highlights of the obtained sequences include eight varicosaviruses with unsegmented genomes, which are linked to a phylogenetic clade associated with gymnosperms. These findings have resulted in the most complete phylogeny of varicosaviruses to date and shed new light on the phylogenetic relationships and evolutionary landscape of this group of plant rhabdoviruses. Thus, the extensive use of sequence data mining for virus discovery has allowed us to unlock of the hidden genetic diversity of varicosaviruses, the largely neglected plant rhabdoviruses.
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Affiliation(s)
- Nicolas Bejerman
- Instituto de Patología Vegetal, Centro de Investigaciones Agropecuarias, Instituto Nacional de Tecnología Agropecuaria (IPAVE—CIAP—INTA), Camino 60 Cuadras Km 5.5, Córdoba X5020ICA, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, Unidad de Fitopatología y Modelización Agrícola, Camino 60 Cuadras Km 5.5, Córdoba X5020ICA, Argentina
| | - Ralf G. Dietzgen
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD 4072, Australia
| | - Humberto Debat
- Instituto de Patología Vegetal, Centro de Investigaciones Agropecuarias, Instituto Nacional de Tecnología Agropecuaria (IPAVE—CIAP—INTA), Camino 60 Cuadras Km 5.5, Córdoba X5020ICA, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, Unidad de Fitopatología y Modelización Agrícola, Camino 60 Cuadras Km 5.5, Córdoba X5020ICA, Argentina
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21
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Cosentino MAC, D’arc M, Moreira FRR, Cavalcante LTDF, Mouta R, Coimbra A, Schiffler FB, Miranda TDS, Medeiros G, Dias CA, Souza AR, Tavares MCH, Tanuri A, Soares MA, dos Santos AFA. Discovery of two novel Torque Teno viruses in Callithrix penicillata provides insights on Anelloviridae diversification dynamics. Front Microbiol 2022; 13:1002963. [PMID: 36160188 PMCID: PMC9493276 DOI: 10.3389/fmicb.2022.1002963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 08/18/2022] [Indexed: 11/13/2022] Open
Abstract
The development of high-throughput sequencing (HTS) technologies and metagenomics protocols deeply impacted the discovery of viral diversity. Moreover, the characterization of novel viruses in the Neotropical primates (NP) is central for the comprehension of viral evolution dynamics in those hosts, due to their evolutionary proximity to Old World primates, including humans. In the present work, novel anelloviruses were detected and characterized through HTS protocols in the NP Callithrix penicillata, the common black-tufted marmoset. De novo assembly of generated sequences was carried out, and a total of 15 contigs were identified with complete Anelloviridae ORF1 gene, two of them including a flanking GC-rich region, confirming the presence of two whole novel genomes of ~3 kb. The identified viruses were monophyletic within the Epsilontorquevirus genus, a lineage harboring previously reported anelloviruses infecting hosts from the Cebidae family. The genetic divergence found in the new viruses characterized two novel species, named Epsilontorquevirus callithrichensis I and II. The phylogenetic pattern inferred for the Epsilontorquevirus genus was consistent with the topology of their host species tree, echoing a virus-host diversification model observed in other viral groups. This study expands the host span of Anelloviridae and provides insights into their diversification dynamics, highlighting the importance of sampling animal viral genomes to obtain a clearer depiction of their long-term evolutionary processes.
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Affiliation(s)
- Matheus Augusto Calvano Cosentino
- Laboratório de Diversidade e Doenças Virais, Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Mirela D’arc
- Laboratório de Diversidade e Doenças Virais, Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Filipe Romero Rebello Moreira
- Laboratório de Diversidade e Doenças Virais, Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Department of Infectious Diseases Epidemiology, Imperial College London, London, United Kingdom
| | | | - Ricardo Mouta
- Laboratório de Diversidade e Doenças Virais, Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Amanda Coimbra
- Laboratório de Diversidade e Doenças Virais, Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Francine Bittencourt Schiffler
- Laboratório de Diversidade e Doenças Virais, Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Thamiris dos Santos Miranda
- Laboratório de Diversidade e Doenças Virais, Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gabriel Medeiros
- Laboratório de Diversidade e Doenças Virais, Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Cecilia A. Dias
- Centro de Primatologia, Universidade de Brasília, Brasília, Brazil
| | | | | | - Amilcar Tanuri
- Laboratório de Virologia Molecular, Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marcelo Alves Soares
- Laboratório de Diversidade e Doenças Virais, Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Programa de Oncovirologia, Instituto Nacional de Câncer, Rio de Janeiro, Brazil
| | - André Felipe Andrade dos Santos
- Laboratório de Diversidade e Doenças Virais, Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- *Correspondence: André Felipe Andrade dos Santos,
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22
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Kumar S, Kumar GS, Maitra SS, Malý P, Bharadwaj S, Sharma P, Dwivedi VD. Viral informatics: bioinformatics-based solution for managing viral infections. Brief Bioinform 2022; 23:6659740. [PMID: 35947964 DOI: 10.1093/bib/bbac326] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 06/26/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
Several new viral infections have emerged in the human population and establishing as global pandemics. With advancements in translation research, the scientific community has developed potential therapeutics to eradicate or control certain viral infections, such as smallpox and polio, responsible for billions of disabilities and deaths in the past. Unfortunately, some viral infections, such as dengue virus (DENV) and human immunodeficiency virus-1 (HIV-1), are still prevailing due to a lack of specific therapeutics, while new pathogenic viral strains or variants are emerging because of high genetic recombination or cross-species transmission. Consequently, to combat the emerging viral infections, bioinformatics-based potential strategies have been developed for viral characterization and developing new effective therapeutics for their eradication or management. This review attempts to provide a single platform for the available wide range of bioinformatics-based approaches, including bioinformatics methods for the identification and management of emerging or evolved viral strains, genome analysis concerning the pathogenicity and epidemiological analysis, computational methods for designing the viral therapeutics, and consolidated information in the form of databases against the known pathogenic viruses. This enriched review of the generally applicable viral informatics approaches aims to provide an overview of available resources capable of carrying out the desired task and may be utilized to expand additional strategies to improve the quality of translation viral informatics research.
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Affiliation(s)
- Sanjay Kumar
- School of Biotechnology, Jawaharlal Nehru University, New Delhi, India.,Center for Bioinformatics, Computational and Systems Biology, Pathfinder Research and Training Foundation, Greater Noida, India
| | - Geethu S Kumar
- Department of Life Science, School of Basic Science and Research, Sharda University, Greater Noida, Uttar Pradesh, India.,Center for Bioinformatics, Computational and Systems Biology, Pathfinder Research and Training Foundation, Greater Noida, India
| | | | - Petr Malý
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences v.v.i., BIOCEV Research Center, Vestec, Czech Republic
| | - Shiv Bharadwaj
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences v.v.i., BIOCEV Research Center, Vestec, Czech Republic
| | - Pradeep Sharma
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Vivek Dhar Dwivedi
- Center for Bioinformatics, Computational and Systems Biology, Pathfinder Research and Training Foundation, Greater Noida, India.,Institute of Advanced Materials, IAAM, 59053 Ulrika, Sweden
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23
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Tai JH, Sun HY, Tseng YC, Li G, Chang SY, Yeh SH, Chen PJ, Chaw SM, Wang HY. Contrasting patterns in the early stage of SARS-CoV-2 evolution between humans and minks. Mol Biol Evol 2022; 39:6658056. [PMID: 35934827 PMCID: PMC9384665 DOI: 10.1093/molbev/msac156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
One of the unique features of SARS-CoV-2 is its apparent neutral evolution during the early pandemic (before February 2020). This contrasts with the preceding SARS-CoV epidemics, where viruses evolved adaptively. SARS-CoV-2 may exhibit a unique or adaptive feature which deviates from other coronaviruses. Alternatively, the virus may have been cryptically circulating in humans for a sufficient time to have acquired adaptive changes before the onset of the current pandemic. To test the scenarios above, we analyzed the SARS-CoV-2 sequences from minks (Neovision vision) and parental humans. In the early phase of the mink epidemic (April to May 2020), nonsynonymous to synonymous mutation ratio per site in the spike protein is 2.93, indicating a selection process favoring adaptive amino acid changes. Mutations in the spike protein were concentrated within its receptor binding domain and receptor binding motif. An excess of high frequency derived variants produced by genetic hitchhiking was found during the middle (June to July 2020) and late phase I (August to September 2020) of the mink epidemic. In contrast, the site frequency spectra of early SARS-CoV-2 in humans only show an excess of low frequency mutations, consistent with the recent outbreak of the virus. Strong positive selection in the mink SARS-CoV-2 implies the virus may not be pre-adapted to a wide range of hosts and illustrates how a virus evolves to establish a continuous infection in a new host. Therefore, the lack of positive selection signal during the early pandemic in humans deserves further investigation.
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Affiliation(s)
- Jui Hung Tai
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 10002, Taiwan.,Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, Taipei 10617, Taiwan
| | - Hsiao Yu Sun
- Taipei Municipal Zhongshan Girls High School, Taipei 10490, Taiwan
| | - Yi Cheng Tseng
- Institute of Ecology and Evolutionary Biology, National Taiwan University, Taipei 10617, Taiwan
| | - Guanghao Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Sui Yuan Chang
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei 10002, Taiwan
| | - Shiou Hwei Yeh
- Department of Microbiology, College of Medicine, National Taiwan University, Taipei 10617, Taiwan
| | - Pei Jer Chen
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 10002, Taiwan.,Department of Microbiology, College of Medicine, National Taiwan University, Taipei 10617, Taiwan.,Hepatitis Research Center, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei 10002, Taiwan.,Department of Internal Medicine, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei 10002, Taiwan.,Department of Medical Research, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei 10002, Taiwan
| | - Shu Miaw Chaw
- Biodiversity Research Center, Academia Sinica, Taipei 11529, Taiwan
| | - Hurng Yi Wang
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 10002, Taiwan.,Institute of Ecology and Evolutionary Biology, National Taiwan University, Taipei 10617, Taiwan.,Graduate Institute of Medical Genomics and Proteomics, National Taiwan University College of Medicine, Taipei 10002, Taiwan
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24
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Bloomfield LSP, Tracey C, Mbabazi E, Schultz RL, Henderson R, Bardosh K, Randolph S, Paige S. Research Participation Influences Willingness to Reduce Zoonotic Exposure in Uganda. ECOHEALTH 2022; 19:299-314. [PMID: 35674864 DOI: 10.1007/s10393-022-01589-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 04/15/2022] [Indexed: 06/15/2023]
Abstract
The majority of emerging and re-emerging infectious diseases in people are zoonotic. Despite substantial research in communities adjacent to protected areas with high levels of biodiversity, limited data exist on people's knowledge, attitudes, and practices to avoid exposure to infections from domestic and wild animals. We used a modified grounded-theory framework in QS NVivo to develop a Knowledge, Attitude, and Practices (KAP) survey administered at two time points, KAPT1 (April-July 2016) and KAPT2 (February-May 2018) to participants living at the edge of Kibale National Park, Uganda. We measured the difference in willingness to engage in protective behaviors around zoonotic exposure between an Intervention group (n = 61) and a Comparison group (n = 125). Prior to KAPT1, the Intervention group engaged in a human-centered design (HCD) activity identifying behaviors that reduce zoonotic exposure (March-May 2016). Using a difference-in-difference approach, we compared the Intervention and Comparison groups to assess sustained willingness and use of protective behaviors against domestic and wild animal exposures. At KAPT1, Comparison group participants had a significantly lower (p < 0.05) level of willingness to engage in behaviors that increase exposure to zoonoses from domestic animals; Intervention group participants had a significantly higher (p < 0.01) level of willingness to engage in behaviors that increase exposure to zoonoses from wild animals. At KAPT2, the treatment effect was significant (p < 0.01) for sustained willingness to engage in protective behaviors for domestic animal exposure in the Intervention group. There were no significant differences in practices to avoid domestic and wild animal zoonotic exposure between the Intervention and Comparison groups.
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Affiliation(s)
- Laura S P Bloomfield
- Stanford University School of Medicine, Stanford University, Stanford, CA, 94305, USA.
- Emmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, CA, 94305, USA.
| | - Christopher Tracey
- Milken Institute School of Public Health, George Washington University, Washington, DC, 20052, USA
| | - Edith Mbabazi
- Makerere University Biological Field Station, Kibale National Park, Kibale, Uganda
| | - Rhiannon L Schultz
- Department of Anthropology, University of Georgia, Athens, GA, 30602, USA
| | - Rebecca Henderson
- Department of Anthropology, University of Florida, Gainesville, FL, 32607, USA
| | - Kevin Bardosh
- Center for One Health Research, School of Public Health, University of Washington, Seattle, WA, 98195, USA
| | - Shannon Randolph
- School of Humanities and Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Sarah Paige
- Global Health Institute, University of Wisconsin-Madison, Madison, WI, 53706, USA
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25
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Abstract
Microfluidics has enabled a new era of cellular and molecular assays due to the small length scales, parallelization, and the modularity of various analysis and actuation functions. Droplet microfluidics, in particular, has been instrumental in providing new tools for biology with its ability to quickly and reproducibly generate drops that act as individual reactors. A notable beneficiary of this technology has been single-cell RNA sequencing, which has revealed new heterogeneities and interactions for the fundamental unit of life. However, viruses far surpass the diversity of cellular life, affect the dynamics of all ecosystems, and are a chronic source of global health crises. Despite their impact on the world, high-throughput and high-resolution viral profiling has been difficult, with conventional methods being limited to population-level averaging, large sample volumes, and few cultivable hosts. Consequently, most viruses have not been identified and studied. Droplet microfluidics holds the potential to address many of these limitations and offers new levels of sensitivity and throughput for virology. This Feature highlights recent efforts that have applied droplet microfluidics to the detection and study of viruses, including for diagnostics, virus-host interactions, and cell-independent virus assays. In combination with traditional virology methods, droplet microfluidics should prove a potent tool toward achieving a better understanding of the most abundant biological species on Earth.
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Affiliation(s)
- Wenyang Jing
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Hee-Sun Han
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.,Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.,Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, 1206 West Gregory Drive, Urbana, Illinois 61801, United States
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26
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Characterization of Two Novel Insect-Specific Viruses Discovered in the Green Leafhopper, Cicadella viridis. INSECTS 2022; 13:insects13040378. [PMID: 35447820 PMCID: PMC9032321 DOI: 10.3390/insects13040378] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/04/2022] [Accepted: 04/09/2022] [Indexed: 12/04/2022]
Abstract
Simple Summary Insect-specific viruses (ISVs) have gained increasing attention for their potential use as biological agents. In this study, the full genomes of two ISVs (Cicadella viridis iflavirus 1, CvIfV1; Cicadella viridis nido-like virus 1, CvNiLV1) were revealed in green leafhoppers, using metatranscriptome, RT-PCR, and RACE approaches, respectively. CvIfV1 is a member of iflavirus and has a typical iflavirus genome organization. An antiviral RNA interference (RNAi) was triggered when host insects were challenged with CvIfV1, which resulted in an abundant accumulation of 21-nt virus-derived siRNAs (vsiRNAs). CvNiLV1 clusters are within a distinct unclassified clade of viruses in the order Nidovirales, and evolutionary related with viruses that infect vertebrate hosts. CvNiLV1 was also targeted by the host antiviral RNAi pathway, and generated the 21-nt vsiRNAs with a strong A/U bias in the 5′-terminal. Our study provided valuable information on ISVs in leafhoppers, and might prove useful in pest management. Abstract Insect-specific viruses (ISV) are one of the most promising agents for the biological control of insects. The green leafhopper, Cicadella viridis (Linnaeus), is an significant pest in agriculture, and causes economic losses to fruit trees, willows, and field crops. As a representative species of the large family Cicadellidae, ISVs in C. viridis have never been studied, to date. In this study, the full genome sequences of two ISVs, named Cicadella viridis iflavirus1 (CvIfV1), and Cicadella viridis nido-like virus 1 (CvNiLV1), were revealed using a metatranscriptomic approach. A homology search and phylogenetic analysis indicated that CvIfV1 is a new member in the family Iflaviridae (genus Iflavirus) with a typical iflavirus genome organization, whereas CvNiLV1 belongs to the unclassified clade/family of the order Nidovirales. In addition, analysis of virus-derived small interfering RNAs (vsiRNAs) was performed to investigate the antiviral RNA interference (RNAi) response of C. viridis. The vsiRNAs exhibit typical patterns produced by host siRNA-mediated antiviral immunity, including a preference of 21-nt vsiRNAs derived equally from the sense and antisense genomic strands, and a strong A/U bias in the 5′-terminus of the viral genomes. Our study provides valuable information for ISVs in leafhoppers for the first time, which might prove useful in the control of C. viridis in future.
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27
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Guth S, Mollentze N, Renault K, Streicker DG, Visher E, Boots M, Brook CE. Bats host the most virulent-but not the most dangerous-zoonotic viruses. Proc Natl Acad Sci U S A 2022; 119:e2113628119. [PMID: 35349342 DOI: 10.1101/2021.07.25.453574] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023] Open
Abstract
SignificanceThe clear need to mitigate zoonotic risk has fueled increased viral discovery in specific reservoir host taxa. We show that a combination of viral and reservoir traits can predict zoonotic virus virulence and transmissibility in humans, supporting the hypothesis that bats harbor exceptionally virulent zoonoses. However, pandemic prevention requires thinking beyond zoonotic capacity, virulence, and transmissibility to consider collective "burden" on human health. For this, viral discovery targeting specific reservoirs may be inefficient as death burden correlates with viral, not reservoir, traits, and depends on context-specific epidemiological dynamics across and beyond the human-animal interface. These findings suggest that longitudinal studies of viral dynamics in reservoir and spillover host populations may offer the most effective strategy for mitigating zoonotic risk.
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Affiliation(s)
- Sarah Guth
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Nardus Mollentze
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, United Kingdom
| | - Katia Renault
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Daniel G Streicker
- Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, United Kingdom
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Elisa Visher
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Mike Boots
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
- Centre for Ecology and Conservation, University of Exeter, Exeter TR10 9FE, United Kingdom
| | - Cara E Brook
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637
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28
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Guth S, Mollentze N, Renault K, Streicker DG, Visher E, Boots M, Brook CE. Bats host the most virulent-but not the most dangerous-zoonotic viruses. Proc Natl Acad Sci U S A 2022; 119:e2113628119. [PMID: 35349342 PMCID: PMC9168486 DOI: 10.1073/pnas.2113628119] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 02/09/2022] [Indexed: 01/06/2023] Open
Abstract
SignificanceThe clear need to mitigate zoonotic risk has fueled increased viral discovery in specific reservoir host taxa. We show that a combination of viral and reservoir traits can predict zoonotic virus virulence and transmissibility in humans, supporting the hypothesis that bats harbor exceptionally virulent zoonoses. However, pandemic prevention requires thinking beyond zoonotic capacity, virulence, and transmissibility to consider collective "burden" on human health. For this, viral discovery targeting specific reservoirs may be inefficient as death burden correlates with viral, not reservoir, traits, and depends on context-specific epidemiological dynamics across and beyond the human-animal interface. These findings suggest that longitudinal studies of viral dynamics in reservoir and spillover host populations may offer the most effective strategy for mitigating zoonotic risk.
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Affiliation(s)
- Sarah Guth
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Nardus Mollentze
- Medical Research Council–University of Glasgow Centre for Virus Research, Glasgow G61 1QH, United Kingdom
| | - Katia Renault
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Daniel G. Streicker
- Medical Research Council–University of Glasgow Centre for Virus Research, Glasgow G61 1QH, United Kingdom
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Elisa Visher
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
| | - Mike Boots
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
- Centre for Ecology and Conservation, University of Exeter, Exeter TR10 9FE, United Kingdom
| | - Cara E. Brook
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637
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29
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Mazur FG, Morinisi LM, Martins JO, Guerra PPB, Freire CCM. Exploring Virome Diversity in Public Data in South America as an Approach for Detecting Viral Sources From Potentially Emerging Viruses. Front Genet 2022; 12:722857. [PMID: 35126446 PMCID: PMC8814814 DOI: 10.3389/fgene.2021.722857] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
The South American continent presents a great diversity of biomes, whose ecosystems are constantly threatened by the expansion of human activity. The emergence and re-emergence of viral populations with impact on the human population and ecosystem have shown increases in the last decades. In deference to the growing accumulation of genomic data, we explore the potential of South American-related public databases to detect signals that contribute to virosphere research. Therefore, our study aims to investigate public databases with emphasis on the surveillance of viruses with medical and ecological relevance. Herein, we profiled 120 "sequence read archives" metagenomes from 19 independent projects from the last decade. In a coarse view, our analyses identified only 0.38% of the total number of sequences from viruses, showing a higher proportion of RNA viruses. The metagenomes with the most important viral sequences in the analyzed environmental models were 1) aquatic samples from the Amazon River, 2) sewage from Brasilia, and 3) soil from the state of São Paulo, while the models of animal transmission were detected in mosquitoes from Rio Janeiro and Bats from Amazonia. Also, the classification of viral signals into operational taxonomic units (OTUs) (family) allowed us to infer from metadata a probable host range in the virome detected in each sample analyzed. Further, several motifs and viral sequences are related to specific viruses with emergence potential from Togaviridae, Arenaviridae, and Flaviviridae families. In this context, the exploration of public databases allowed us to evaluate the scope and informative capacity of sequences from third-party public databases and to detect signals related to viruses of clinical or environmental importance, which allowed us to infer traits associated with probable transmission routes or signals of ecological disequilibrium. The evaluation of our results showed that in most cases the size and type of the reference database, the percentage of guanine-cytosine (GC), and the length of the query sequences greatly influence the taxonomic classification of the sequences. In sum, our findings describe how the exploration of public genomic data can be exploited as an approach for epidemiological surveillance and the understanding of the virosphere.
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Affiliation(s)
| | | | | | | | - Caio C. M. Freire
- Department Genetics and Evolution, UFSCar—Federal University of São Carlos, São Carlos, Brazil
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Abstract
The COVID-19 pandemic has given the study of virus evolution and ecology new relevance. Although viruses were first identified more than a century ago, we likely know less about their diversity than that of any other biological entity. Most documented animal viruses have been sampled from just two phyla - the Chordata and the Arthropoda - with a strong bias towards viruses that infect humans or animals of economic and social importance, often in association with strong disease phenotypes. Fortunately, the recent development of unbiased metagenomic next-generation sequencing is providing a richer view of the animal virome and shedding new light on virus evolution. In this Review, we explore our changing understanding of the diversity, composition and evolution of the animal virome. We outline the factors that determine the phylogenetic diversity and genomic structure of animal viruses on evolutionary timescales and show how this impacts assessment of the risk of disease emergence in the short term. We also describe the ongoing challenges in metagenomic analysis and outline key themes for future research. A central question is how major events in the evolutionary history of animals, such as the origin of the vertebrates and periodic mass extinction events, have shaped the diversity and evolution of the viruses they carry.
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31
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Raza A, Ding SW, Wu Q. Culture-Independent Discovery of Viroids by Deep Sequencing and Computational Algorithms. Methods Mol Biol 2022; 2316:251-274. [PMID: 34845701 DOI: 10.1007/978-1-0716-1464-8_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Viroids are single-stranded circular RNA molecules that cause diseases in plants and do not encode any protein. Classical approaches for the identification of new viroids are challenging for many plant pathology laboratories as viroid cDNA synthesis and sequencing require purification and enrichment of the naked viroid RNA by two-dimensional gel electrophoresis. Conventional metagenomic approaches are not effective for viroid discovery because the total number of known viroids is small, and distinct viroids share limited nucleotide sequence similarity. In this chapter, we describe a homology-independent approach for the identification of both known and new viroids in disease samples. It is known that viroid infection of plants triggers production of overlapping viroid-derived small interfering RNAs (siRNAs) targeting the entire genome with high densities and that replication of viroids occurs via a rolling-circle mechanism to yield head-to-tail multiple-repeat replicative intermediates. Our approach involves deep sequencing of either long or small RNAs in a disease sample followed by viroid identification with a unique computational algorithm, progressive filtering of overlapping small RNAs (PFOR). Among the sequenced total small RNAs, PFOR retains viroid-derived siRNAs for viroid genome assembly by progressively eliminating nonoverlapping small RNAs and those that overlap but cannot be assembled into a direct repeat RNA, a unique feature of viroid RNA replication. In contrast, long RNAs sequenced after depletion of ribosomal RNAs are cut into 21-nucleotide virtual overlapping small RNAs with the algorithm SLS (splitting longer read into shorter fragments) before PFOR. We show that new viroids or viroids from the two known families are readily identified and their full-length sequences recovered by PFOR from long or small RNAs sequenced directly from infected plants. We propose that our approach can be used for viroid discovery in both plants and potentially animals since PFOR identifies viroids by searching for circular RNAs or a unique replication intermediate of the viroid genome in a sequence homology-independent manner.
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Affiliation(s)
- Ali Raza
- Hefei National Laboratory for Physical Sciences at Microscale, School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Shou-Wei Ding
- Department of Microbiology and Plant Pathology, University of California, Riverside, CA, USA.
| | - Qingfa Wu
- Hefei National Laboratory for Physical Sciences at Microscale, School of Life Sciences, University of Science and Technology of China, Hefei, China.
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32
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Infektionskrankheiten in Deutschland. Public Health 2022. [DOI: 10.1016/b978-3-437-22262-7.00022-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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33
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Albery GF, Becker DJ, Brierley L, Brook CE, Christofferson RC, Cohen LE, Dallas TA, Eskew EA, Fagre A, Farrell MJ, Glennon E, Guth S, Joseph MB, Mollentze N, Neely BA, Poisot T, Rasmussen AL, Ryan SJ, Seifert S, Sjodin AR, Sorrell EM, Carlson CJ. The science of the host-virus network. Nat Microbiol 2021; 6:1483-1492. [PMID: 34819645 DOI: 10.1038/s41564-021-00999-5] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 10/18/2021] [Indexed: 01/21/2023]
Abstract
Better methods to predict and prevent the emergence of zoonotic viruses could support future efforts to reduce the risk of epidemics. We propose a network science framework for understanding and predicting human and animal susceptibility to viral infections. Related approaches have so far helped to identify basic biological rules that govern cross-species transmission and structure the global virome. We highlight ways to make modelling both accurate and actionable, and discuss the barriers that prevent researchers from translating viral ecology into public health policies that could prevent future pandemics.
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Affiliation(s)
- Gregory F Albery
- Department of Biology, Georgetown University, Washington DC, USA.
| | - Daniel J Becker
- Department of Biology, University of Oklahoma, Norman, OK, USA
| | - Liam Brierley
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Cara E Brook
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | | | - Lily E Cohen
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tad A Dallas
- Department of Biological Sciences, University of South Carolina, Columbia, SC, USA
| | - Evan A Eskew
- Department of Biology, Pacific Lutheran University, Tacoma, WA, USA
| | - Anna Fagre
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, USA
| | - Maxwell J Farrell
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Emma Glennon
- Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Sarah Guth
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Maxwell B Joseph
- Earth Lab, Cooperative Institute for Research in Environmental Science, University of Colorado Boulder, Boulder, CO, USA
| | - Nardus Mollentze
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.,MRC - University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Benjamin A Neely
- National Institute of Standards and Technology, Charleston, SC, USA
| | - Timothée Poisot
- Québec Centre for Biodiversity Sciences, Montréal, Québec, Canada.,Département de Sciences Biologiques, Université de Montréal, Montréal, Québec, Canada
| | - Angela L Rasmussen
- Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.,Department of Biochemistry, Microbiology, and Immunology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Sadie J Ryan
- Department of Geography, University of Florida, Gainesville, FL, USA.,Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.,School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Stephanie Seifert
- Paul G. Allen School for Global Health, Washington State University, Pullman, WA, USA
| | - Anna R Sjodin
- Department of Biological Sciences, University of Idaho, Moscow, ID, USA
| | - Erin M Sorrell
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, USA.,Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC, USA
| | - Colin J Carlson
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, USA. .,Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC, USA.
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34
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Wang X, Xiu L, Binder RA, Toh TH, Lee JSY, Ting J, Than ST, Qi W, Coleman KK, Perera D, Ma M, Gray GC. A pan-coronavirus RT-PCR assay for rapid viral screening of animal, human, and environmental specimens. One Health 2021; 13:100274. [PMID: 34124332 PMCID: PMC8179717 DOI: 10.1016/j.onehlt.2021.100274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 06/01/2021] [Accepted: 06/02/2021] [Indexed: 11/24/2022] Open
Abstract
We examined a collection of 386 animal, 451 human, and 109 archived bioaerosol samples with a new pan-species coronavirus molecular assay. Thirty-eight (4.02%) of 946 specimens yielded evidence of human or animal coronaviruses. Our findings demonstrate the utility of employing the pan-CoV RT-PCR assay in detecting varied coronavirus among human, animal, and environmental specimens. This RT-PCR assay might be employed as a screening diagnostic for early detection of coronaviruses incursions or prepandemic coronavirus emergence in animal or human populations.
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Affiliation(s)
- Xinye Wang
- Global Health Research Center, Duke Kunshan University, Kunshan, China
- School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Leshan Xiu
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Raquel A. Binder
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Teck-Hock Toh
- Faculty of Medicine, SEGi University, Kota Damansara, Selangor, Malaysia
- Clinical Research Center, Sibu Hospital, Ministry of Health Malaysia, Sibu, Sarawak, Malaysia
| | - Jeffrey Soon-Yit Lee
- Faculty of Medicine, SEGi University, Kota Damansara, Selangor, Malaysia
- Clinical Research Center, Sibu Hospital, Ministry of Health Malaysia, Sibu, Sarawak, Malaysia
| | - Jakie Ting
- Faculty of Medicine, SEGi University, Kota Damansara, Selangor, Malaysia
| | - Son T. Than
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore
| | - Wenhao Qi
- Global Health Research Center, Duke Kunshan University, Kunshan, China
| | - Kristen K. Coleman
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore
| | - David Perera
- Institute of Health and Community Medicine, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia
| | - Maijuan Ma
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100,071, China
| | - Gregory C. Gray
- Global Health Research Center, Duke Kunshan University, Kunshan, China
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore
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35
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Xu L, Guo M, Hu B, Zhou H, Yang W, Hui L, Huang R, Zhan J, Shi W, Wu Y. Tick virome diversity in Hubei Province, China, and the influence of host ecology. Virus Evol 2021; 7:veab089. [PMID: 34804590 PMCID: PMC8599308 DOI: 10.1093/ve/veab089] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 09/14/2021] [Accepted: 11/02/2021] [Indexed: 12/16/2022] Open
Abstract
Ticks are important vector hosts of pathogens which cause human and animal
diseases worldwide. Diverse viruses have been discovered in ticks; however,
little is known about the ecological factors that affect the tick virome
composition and evolution. Herein, we employed RNA sequencing to study the
virome diversity of the Haemaphysalis longicornis and
Rhipicephalus microplus ticks sampled in Hubei Province in
China. Twelve RNA viruses with complete genomes were identified, which belonged
to six viral families: Flaviviridae, Matonaviridae, Peribunyaviridae,
Nairoviridae, Phenuiviridae, and Rhabdoviridae.
These viruses showed great diversity in their genome organization and evolution,
four of which were proposed to be novel species. The virome diversity and
abundance of R. microplus ticks fed on cattle were evidently
high. Further ecological analyses suggested that host species and feeding status
may be key factors affecting the tick virome structure. This study described a
number of novel viral species and variants from ticks and, more importantly,
provided insights into the ecological factors shaping the virome structures of
ticks, although it clearly warrants further investigation.
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Affiliation(s)
- Lin Xu
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian 271016, China
| | - Moujian Guo
- State Key Laboratory of Virology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Bing Hu
- Institute of Health Inspection and Testing, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
| | - Hong Zhou
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian 271000, China
| | - Wei Yang
- State Key Laboratory of Virology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Lixia Hui
- State Key Laboratory of Virology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Rui Huang
- State Key Laboratory of Virology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Jianbo Zhan
- Institute of Health Inspection and Testing, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
| | - Weifeng Shi
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian 271016, China
| | - Ying Wu
- State Key Laboratory of Virology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
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36
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Carlson CJ, Farrell MJ, Grange Z, Han BA, Mollentze N, Phelan AL, Rasmussen AL, Albery GF, Bett B, Brett-Major DM, Cohen LE, Dallas T, Eskew EA, Fagre AC, Forbes KM, Gibb R, Halabi S, Hammer CC, Katz R, Kindrachuk J, Muylaert RL, Nutter FB, Ogola J, Olival KJ, Rourke M, Ryan SJ, Ross N, Seifert SN, Sironen T, Standley CJ, Taylor K, Venter M, Webala PW. The future of zoonotic risk prediction. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200358. [PMID: 34538140 PMCID: PMC8450624 DOI: 10.1098/rstb.2020.0358] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2021] [Indexed: 01/26/2023] Open
Abstract
In the light of the urgency raised by the COVID-19 pandemic, global investment in wildlife virology is likely to increase, and new surveillance programmes will identify hundreds of novel viruses that might someday pose a threat to humans. To support the extensive task of laboratory characterization, scientists may increasingly rely on data-driven rubrics or machine learning models that learn from known zoonoses to identify which animal pathogens could someday pose a threat to global health. We synthesize the findings of an interdisciplinary workshop on zoonotic risk technologies to answer the following questions. What are the prerequisites, in terms of open data, equity and interdisciplinary collaboration, to the development and application of those tools? What effect could the technology have on global health? Who would control that technology, who would have access to it and who would benefit from it? Would it improve pandemic prevention? Could it create new challenges? This article is part of the theme issue 'Infectious disease macroecology: parasite diversity and dynamics across the globe'.
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Affiliation(s)
- Colin J. Carlson
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC 20007, USA
- Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Maxwell J. Farrell
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Zoe Grange
- Public Health Scotland, Glasgow G2 6QE, UK
| | - Barbara A. Han
- Cary Institute of Ecosystem Studies, Millbrook, NY 12545, USA
| | - Nardus Mollentze
- Medical Research Council, University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Alexandra L. Phelan
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC 20007, USA
- O'Neill Institute for National and Global Health Law, Georgetown University Law Center, Washington, DC 20001, USA
| | - Angela L. Rasmussen
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Gregory F. Albery
- Department of Biology, Georgetown University, Washington, DC 20007, USA
| | - Bernard Bett
- Animal and Human Health Program, International Livestock Research Institute, PO Box 30709-00100, Nairobi, Kenya
| | - David M. Brett-Major
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA
| | - Lily E. Cohen
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tad Dallas
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70806, USA
| | - Evan A. Eskew
- Department of Biology, Pacific Lutheran University, Tacoma, WA, USA
| | - Anna C. Fagre
- Department of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA
| | - Kristian M. Forbes
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR 72701, USA
| | - Rory Gibb
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Sam Halabi
- O'Neill Institute for National and Global Health Law, Georgetown University Law Center, Washington, DC 20001, USA
| | - Charlotte C. Hammer
- Centre for the Study of Existential Risk, University of Cambridge, Cambridge, UK
| | - Rebecca Katz
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Jason Kindrachuk
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada R3E 0J9
| | - Renata L. Muylaert
- Molecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, Massey University, Palmerston North, New Zealand
| | - Felicia B. Nutter
- Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University, North Grafton, MA 01536, USA
- Department of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, MA 02111, USA
| | | | | | - Michelle Rourke
- Law Futures Centre, Griffith Law School, Griffith University, Nathan, Queensland 4111, Australia
| | - Sadie J. Ryan
- Department of Geography and Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
- School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Noam Ross
- EcoHealth Alliance, New York, NY 10018, USA
| | - Stephanie N. Seifert
- Paul G. Allen School for Global Health, Washington State University, Pullman, WA, USA
| | - Tarja Sironen
- Department of Virology, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Claire J. Standley
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC 20007, USA
- Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Kishana Taylor
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Marietjie Venter
- Zoonotic Arbo and Respiratory Virus Program, Centre for Viral Zoonoses, Department of Medical Virology, University of Pretoria, Pretoria, South Africa
| | - Paul W. Webala
- Department of Forestry and Wildlife Management, Maasai Mara University, Narok 20500, Kenya
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37
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Musunuri S, Sandbrink JB, Monrad JT, Palmer MJ, Koblentz GD. Rapid Proliferation of Pandemic Research: Implications for Dual-Use Risks. mBio 2021; 12:e0186421. [PMID: 34663091 PMCID: PMC8524337 DOI: 10.1128/mbio.01864-21] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The COVID-19 pandemic has demonstrated the world's vulnerability to biological catastrophe and elicited unprecedented scientific efforts. Some of this work and its derivatives, however, present dual-use risks (i.e., potential harm from misapplication of beneficial research) that have largely gone unaddressed. For instance, gain-of-function studies and reverse genetics protocols may facilitate the engineering of concerning SARS-CoV-2 variants and other pathogens. The risk of accidental or deliberate release of dangerous pathogens may be increased by large-scale collection and characterization of zoonotic viruses undertaken in an effort to understand what enables animal-to-human transmission. These concerns are exacerbated by the rise of preprint publishing that circumvents a late-stage opportunity for dual-use oversight. To prevent the next global health emergency, we must avoid inadvertently increasing the threat of future biological events. This requires a nuanced and proactive approach to dual-use evaluation throughout the research life cycle, including the conception, funding, conduct, and dissemination of research.
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Affiliation(s)
| | - Jonas B. Sandbrink
- Future of Humanity Institute, University of Oxford, Oxford, United Kingdom
- Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Joshua Teperowski Monrad
- Future of Humanity Institute, University of Oxford, Oxford, United Kingdom
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Department of Health Policy, London School of Economics, London, United Kingdom
| | - Megan J. Palmer
- Department of Bioengineering, Stanford University, Stanford, California, USA
- Center for International Security and Cooperation (CISAC), Stanford University, Stanford, California, USA
| | - Gregory D. Koblentz
- Schar School of Policy and Government, George Mason University, Fairfax, Virginia, USA
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38
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Chakraborty D. What leads to parallel evolution? eLife 2021; 10:73553. [PMID: 34658336 PMCID: PMC8523147 DOI: 10.7554/elife.73553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 10/07/2021] [Indexed: 11/17/2022] Open
Abstract
The repeated emergence of similar variants of influenza virus is linked to interactions between the virus’s RNA segments.
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Affiliation(s)
- Debapriyo Chakraborty
- Host Pathogen Interaction Unit (IHAP), École Nationale Veterinaire de Toulouse, Toulouse, France.,Institut National de la Recherche pour l'Agriculture , l'Alimentation et l'Environnement (INRAE), Toulouse, France
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39
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Current challenges to virus discovery by meta-transcriptomics. Curr Opin Virol 2021; 51:48-55. [PMID: 34592710 DOI: 10.1016/j.coviro.2021.09.007] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 08/16/2021] [Accepted: 09/14/2021] [Indexed: 12/13/2022]
Abstract
Meta-transcriptomic next-generation sequencing has transformed virus discovery, dramatically expanding our knowledge of the known virosphere. Nevertheless, the use of meta-transcriptomics for virus discovery faces important challenges. As this technology becomes more widely adopted, the proportion of viral sequences in public databases with incorrect (e.g. mis-assignment of host) or limited information (e.g. lacking taxonomic classification) is likely to grow, limiting their utility in bioinformatic pipelines for virus discovery. In addition, we currently lack the bioinformatic tools that can accurately identify viruses showing little or no sequence similarity to database viruses or those that represent likely reagent contaminants. Herein, we outline some of the challenges to effective meta-transcriptomic virus discovery as well as their potential solutions.
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40
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Imrie RM, Roberts KE, Longdon B. Between virus correlations in the outcome of infection across host species: Evidence of virus by host species interactions. Evol Lett 2021; 5:472-483. [PMID: 34621534 PMCID: PMC8484721 DOI: 10.1002/evl3.247] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 06/15/2021] [Accepted: 06/28/2021] [Indexed: 12/24/2022] Open
Abstract
Virus host shifts are a major source of outbreaks and emerging infectious diseases, and predicting the outcome of novel host and virus interactions remains a key challenge for virus research. The evolutionary relationships between host species can explain variation in transmission rates, virulence, and virus community composition between hosts, but it is unclear if correlations exist between related viruses in infection traits across novel hosts. Here, we measure correlations in viral load of four Cripavirus isolates across experimental infections of 45 Drosophilidae host species. We find positive correlations between every pair of viruses tested, suggesting that some host clades show broad susceptibility and could act as reservoirs and donors for certain types of viruses. Additionally, we find evidence of virus by host species interactions, highlighting the importance of both host and virus traits in determining the outcome of virus host shifts. Of the four viruses tested here, those that were more closely related tended to be more strongly correlated, providing tentative evidence that virus evolutionary relatedness may be a useful proxy for determining the likelihood of novel virus emergence, which warrants further research.
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Affiliation(s)
- Ryan M. Imrie
- Centre for Ecology and Conservation, Biosciences, College of Life and Environmental SciencesUniversity of ExeterPenrynTR10 9FEUnited Kingdom
| | - Katherine E. Roberts
- Centre for Ecology and Conservation, Biosciences, College of Life and Environmental SciencesUniversity of ExeterPenrynTR10 9FEUnited Kingdom
| | - Ben Longdon
- Centre for Ecology and Conservation, Biosciences, College of Life and Environmental SciencesUniversity of ExeterPenrynTR10 9FEUnited Kingdom
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Nahata KD, Bollen N, Gill MS, Layan M, Bourhy H, Dellicour S, Baele G. On the Use of Phylogeographic Inference to Infer the Dispersal History of Rabies Virus: A Review Study. Viruses 2021; 13:v13081628. [PMID: 34452492 PMCID: PMC8402743 DOI: 10.3390/v13081628] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/06/2021] [Accepted: 08/11/2021] [Indexed: 12/28/2022] Open
Abstract
Rabies is a neglected zoonotic disease which is caused by negative strand RNA-viruses belonging to the genus Lyssavirus. Within this genus, rabies viruses circulate in a diverse set of mammalian reservoir hosts, is present worldwide, and is almost always fatal in non-vaccinated humans. Approximately 59,000 people are still estimated to die from rabies each year, leading to a global initiative to work towards the goal of zero human deaths from dog-mediated rabies by 2030, requiring scientific efforts from different research fields. The past decade has seen a much increased use of phylogeographic and phylodynamic analyses to study the evolution and spread of rabies virus. We here review published studies in these research areas, making a distinction between the geographic resolution associated with the available sequence data. We pay special attention to environmental factors that these studies found to be relevant to the spread of rabies virus. Importantly, we highlight a knowledge gap in terms of applying these methods when all required data were available but not fully exploited. We conclude with an overview of recent methodological developments that have yet to be applied in phylogeographic and phylodynamic analyses of rabies virus.
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Affiliation(s)
- Kanika D. Nahata
- Department of Microbiology, Immunology and Transplantation, Rega Institute KU Leuven, 3000 Leuven, Belgium; (N.B.); (M.S.G.); (S.D.); (G.B.)
- Correspondence:
| | - Nena Bollen
- Department of Microbiology, Immunology and Transplantation, Rega Institute KU Leuven, 3000 Leuven, Belgium; (N.B.); (M.S.G.); (S.D.); (G.B.)
| | - Mandev S. Gill
- Department of Microbiology, Immunology and Transplantation, Rega Institute KU Leuven, 3000 Leuven, Belgium; (N.B.); (M.S.G.); (S.D.); (G.B.)
| | - Maylis Layan
- Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Sorbonne Université, UMR2000, CNRS, 75015 Paris, France;
| | - Hervé Bourhy
- Lyssavirus Epidemiology and Neuropathology Unit, Institut Pasteur, 75015 Paris, France;
- WHO Collaborating Centre for Reference and Research on Rabies, Institut Pasteur, 75015 Paris, France
| | - Simon Dellicour
- Department of Microbiology, Immunology and Transplantation, Rega Institute KU Leuven, 3000 Leuven, Belgium; (N.B.); (M.S.G.); (S.D.); (G.B.)
- Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, 1050 Bruxelles, Belgium
| | - Guy Baele
- Department of Microbiology, Immunology and Transplantation, Rega Institute KU Leuven, 3000 Leuven, Belgium; (N.B.); (M.S.G.); (S.D.); (G.B.)
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Visher E, Evensen C, Guth S, Lai E, Norfolk M, Rozins C, Sokolov NA, Sui M, Boots M. The three Ts of virulence evolution during zoonotic emergence. Proc Biol Sci 2021; 288:20210900. [PMID: 34375554 PMCID: PMC8354747 DOI: 10.1098/rspb.2021.0900] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 07/16/2021] [Indexed: 12/21/2022] Open
Abstract
There is increasing interest in the role that evolution may play in current and future pandemics, but there is often also considerable confusion about the actual evolutionary predictions. This may be, in part, due to a historical separation of evolutionary and medical fields, but there is a large, somewhat nuanced body of evidence-supported theory on the evolution of infectious disease. In this review, we synthesize this evolutionary theory in order to provide a framework for clearer understanding of the key principles. Specifically, we discuss the selection acting on zoonotic pathogens' transmission rates and virulence at spillover and during emergence. We explain how the direction and strength of selection during epidemics of emerging zoonotic disease can be understood by a three Ts framework: trade-offs, transmission, and time scales. Virulence and transmission rate may trade-off, but transmission rate is likely to be favoured by selection early in emergence, particularly if maladapted zoonotic pathogens have 'no-cost' transmission rate improving mutations available to them. Additionally, the optimal virulence and transmission rates can shift with the time scale of the epidemic. Predicting pathogen evolution, therefore, depends on understanding both the trade-offs of transmission-improving mutations and the time scales of selection.
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Affiliation(s)
- Elisa Visher
- Department of Integrative Biology, University of California, Berkeley, CA 94720, USA
| | - Claire Evensen
- Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK
| | - Sarah Guth
- Department of Integrative Biology, University of California, Berkeley, CA 94720, USA
| | - Edith Lai
- College of Natural Resources, University of California, Berkeley, CA 94720, USA
| | - Marina Norfolk
- College of Letters and Sciences, University of California, Berkeley, CA 94720, USA
| | - Carly Rozins
- Department of Science and Technology Studies, Division of Natural Science, York University, Toronto, Ontario, Canada M3J 1P3
| | - Nina A. Sokolov
- Department of Integrative Biology, University of California, Berkeley, CA 94720, USA
| | - Melissa Sui
- College of Letters and Sciences, University of California, Berkeley, CA 94720, USA
| | - Michael Boots
- Department of Integrative Biology, University of California, Berkeley, CA 94720, USA
- Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn TR10 9FE, UK
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Ellery A. Supplementing Closed Ecological Life Support Systems with In-Situ Resources on the Moon. Life (Basel) 2021; 11:life11080770. [PMID: 34440514 PMCID: PMC8401783 DOI: 10.3390/life11080770] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 07/23/2021] [Accepted: 07/23/2021] [Indexed: 11/16/2022] Open
Abstract
In this review, I explore a broad-based view of technologies for supporting human activities on the Moon and, where appropriate, Mars. Primarily, I assess the state of life support systems technology beginning with physicochemical processes, waste processing, bioregenerative methods, food production systems and the robotics and advanced biological technologies that support the latter. We observe that the Moon possesses in-situ resources but that these resources are of limited value in closed ecological life support systems (CELSS)-indeed, CELSS technology is most mature in recycling water and oxygen, the two resources that are abundant on the Moon. This places a premium on developing CELSS that recycle other elements that are rarified on the Moon including C and N in particular but also other elements such as P, S and K which might be challenging to extract from local resources. Although we focus on closed loop ecological life support systems, we also consider related technologies that involve the application of biological organisms to bioregenerative medical technologies and bioregenerative approaches to industrial activity on the Moon as potential future developments.
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Affiliation(s)
- Alex Ellery
- Department of Mechanical & Aerospace Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada
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Wille M, Shi M, Hurt AC, Klaassen M, Holmes EC. RNA virome abundance and diversity is associated with host age in a bird species. Virology 2021; 561:98-106. [PMID: 34182259 DOI: 10.1016/j.virol.2021.06.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 06/16/2021] [Accepted: 06/16/2021] [Indexed: 12/19/2022]
Abstract
Despite the ongoing interest in virus discovery, little is known about the factors that shape communities of viruses within individual hosts. Here, we address how virus communities might be impacted by the age of the hosts they infect, using total RNA sequencing to reveal the RNA viromes of different age groups of Ruddy Turnstones (Arenaria interpres). From oropharyngeal and cloacal swabs we identified 14 viruses likely infecting birds, 11 of which were novel, including members of the Reoviridae, Astroviridae, and Picornaviridae. Strikingly, 12 viruses identified were from juvenile birds sampled in the first year of their life, compared to only two viruses in adult birds. Both viral abundance and alpha diversity were marginally higher in juvenile than adult birds. As well as informing studies of virus ecology, that host age might be associated with viral composition is an important consideration for the future surveillance of novel and emerging viruses.
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Affiliation(s)
- Michelle Wille
- Marie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, 2006, New South Wales, Australia.
| | - Mang Shi
- Marie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, 2006, New South Wales, Australia
| | - Aeron C Hurt
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, 3000, Australia
| | - Marcel Klaassen
- Centre for Integrative Ecology, Deakin University, Geelong, 3217, Victoria, Australia; Victorian Wader Study Group, Geelong, 3217, Victoria, Australia
| | - Edward C Holmes
- Marie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, 2006, New South Wales, Australia.
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Zhang YY, Chen Y, Wei X, Cui J. Viromes in marine ecosystems reveal remarkable invertebrate RNA virus diversity. SCIENCE CHINA-LIFE SCIENCES 2021; 65:426-437. [PMID: 34156600 DOI: 10.1007/s11427-020-1936-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 04/19/2021] [Indexed: 12/28/2022]
Abstract
Little is known about ocean viromes and the ecological drivers of the evolution of aquatic RNA viruses. This study employed a meta-transcriptomic approach to characterize the viromes of 58 marine invertebrate species across three seas. This revealed the presence of 315 newly identified RNA viruses in nine viral families or orders (Durnavirales, Totiviridae, Bunyavirales, Hantaviridae, Picornavirales, Flaviviridae, Hepelivirales, Solemoviridae, and Tombusviridae), with most of them being sufficiently divergent to the already documented viruses. Notably, this study revealed three marine invertebrate hantaviruses that are rooted to vertebrate hantaviruses, further supporting that hantaviruses may have a marine origin. We have also found evidence for possible host sharing and switch events during virus evolution. Overall, we have revealed the hidden diversity of marine invertebrate RNA viruses.
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Affiliation(s)
- Yu-Yi Zhang
- CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yicong Chen
- CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xiaoman Wei
- CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jie Cui
- CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Shanghai, 200031, China. .,Laboatory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266237, China.
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Ruan Y, Wen H, He X, Wu CI. A theoretical exploration of the origin and early evolution of a pandemic. Sci Bull (Beijing) 2021; 66:1022-1029. [PMID: 33520335 PMCID: PMC7831721 DOI: 10.1016/j.scib.2020.12.020] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 09/15/2020] [Accepted: 11/03/2020] [Indexed: 12/15/2022]
Abstract
A virus that can cause a global pandemic must be highly adaptive to human conditions. Such adaptation is not likely to have emerged suddenly but, instead, may have evolved step by step with each step favored by natural selection. It is thus necessary to develop a theory about the origin in order to guide the search. Here, we propose such a model whereby evolution occurs in both the virus and the hosts (where the evolution is somatic; i.e., in the immune system). The hosts comprise three groups - the wild animal hosts, the nearby human population, and farther-away human populations. The theory suggests that the conditions under which the pandemic has initially evolved are: (i) an abundance of wild animals in the place of origin (PL0); (ii) a nearby human population of low density; (iii) frequent and long-term animal-human contacts to permit step-by-step evolution; and (iv) a level of herd immunity in the animal and human hosts. In this model, the evolving virus may have regularly spread out of PL0 although such invasions often fail, leaving sporadic cases of early infections. The place of the first epidemic (PL1), where humans are immunologically naïve to the virus, is likely a distance away from PL0. Finally, this current model is only a first attempt and more theoretical models can be expected to guide the search for the origin of SARS-CoV-2.
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Affiliation(s)
- Yongsen Ruan
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Haijun Wen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Xionglei He
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Chung-I Wu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
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Hayer J, Wille M, Font A, González-Aravena M, Norder H, Malmberg M. Four novel picornaviruses detected in Magellanic Penguins (Spheniscus magellanicus) in Chile. Virology 2021; 560:116-123. [PMID: 34058706 DOI: 10.1016/j.virol.2021.05.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 05/19/2021] [Accepted: 05/19/2021] [Indexed: 10/21/2022]
Abstract
Members of the Picornaviridae family comprise a significant burden on the poultry industry, causing diseases such as gastroenteritis and hepatitis. However, with the advent of metagenomics, a number of picornaviruses have now been revealed in apparently healthy wild birds. In this study, we identified four novel viruses belonging to the family Picornaviridae in healthy Magellanic penguins, a near threatened species. All samples were subsequently screened by RT-PCR for these new viruses, and approximately 20% of the penguins were infected with at least one of these viruses. The viruses were distantly related to members of the genera Hepatovirus, Tremovirus, Gruhelivirus and Crahelvirus. Further, they had more than 60% amino acid divergence from other picornaviruses, and therefore likely constitute novel genera. Our results demonstrate the vast undersampling of wild birds for viruses, and we expect the discovery of numerous avian viruses that are related to hepatoviruses and tremoviruses in the future.
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Affiliation(s)
- Juliette Hayer
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
| | - Michelle Wille
- Marie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, Australia; Department of Microbiology and Immunology, At the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Australia
| | - Alejandro Font
- nstituto Antártico Chileno, Plaza Muñoz Gamero, 1055, Punta Arenas, Chile
| | | | - Helene Norder
- Department of Infectious Diseases/Virology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Sweden; Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Microbiology, Gothenburg, Sweden
| | - Maja Malmberg
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden; Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Uppsala, Sweden.
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Diversity and infectivity of the RNA virome among different cryptic species of an agriculturally important insect vector: whitefly Bemisia tabaci. NPJ Biofilms Microbiomes 2021; 7:43. [PMID: 33986295 PMCID: PMC8119434 DOI: 10.1038/s41522-021-00216-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 04/15/2021] [Indexed: 12/21/2022] Open
Abstract
A large number of insect-specific viruses (ISVs) have recently been discovered, mostly from hematophagous insect vectors because of their medical importance, but little attention has been paid to important plant virus vectors such as the whitefly Bemisia tabaci, which exists as a complex of cryptic species. Public SRA datasets of B. tabaci and newly generated transcriptomes of three Chinese populations are here comprehensively investigated to characterize the whitefly viromes of different cryptic species. Twenty novel ISVs were confidently identified, mostly associated with a particular cryptic species while different cryptic species harbored one or more core ISVs. Microinjection experiments showed that some ISVs might cross-infect between the two invasive whitefly cryptic species, Middle East Asia Minor 1 (MEAM1) and Mediterranean (MED), but others appeared to have a more restricted host range, reflecting the possibility of distinct long-term coevolution of these ISVs and whitefly hosts. Moreover, analysis of the profiles of virus-derived small-interfering RNAs indicated that some of the ISVs can successfully replicate in whitefly and the antiviral RNAi pathway of B. tabaci is actively involved in response to ISV infections. Our study provides a comprehensive analysis of the RNA virome, the distinct relationships and cross-cryptic species infectivity of ISVs in an agriculturally important insect vector.
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49
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Ul-Rahman A, Ishaq HM, Raza MA, Shabbir MZ. Zoonotic potential of Newcastle disease virus: Old and novel perspectives related to public health. Rev Med Virol 2021; 32:e2246. [PMID: 33971048 DOI: 10.1002/rmv.2246] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 05/04/2021] [Indexed: 12/26/2022]
Abstract
Newcastle disease virus (NDV) has a worldwide distribution, causing lethal infection in a wide range of avian species. Affected birds develop respiratory, digestive and neurologic symptoms with profound immunosuppression. Mild systemic Newcastle disease (ND) infection restricted to the respiratory and neurological systems can be observed in humans and other non-avian hosts. Evidence of ND infection and its genome-based detection have been reported in Bovidae (cattle and sheep), Mustelidae (mink), Cercetidae (hamster), Muridae (mice), Leporidae (rabbit), Camelidae (camel), Suidae (pig), Cercophithecidae (monkeys) and Hominidae (humans). Owing to frequent ND outbreaks in poultry workers, individuals engaged in the veterinary field, including poultry production or evisceration and vaccine production units have constantly been at a much higher risk than the general population. A lethal form of infection has been described in immunocompromised humans and non-avian species including mink, pig and cattle demonstrating the capability of NDV to cross species barriers. Therefore, contact with infectious material and/or affected birds can pose a risk of zoonosis and raise public health concerns. The broad and expanding host range of NDV and its maintenance within non-avian species hampers disease control, particularly in disease-endemic settings.
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Affiliation(s)
- Aziz Ul-Rahman
- Faculty of Veterinary and Animal Sciences, Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan
| | - Hafiz Muhammad Ishaq
- Faculty of Veterinary and Animal Sciences, Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan
| | - Muhammad Asif Raza
- Faculty of Veterinary and Animal Sciences, Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan
| | - Muhammad Zubair Shabbir
- Quality Operations Laboratory, University of Veterinary and Animal Sciences, Lahore, Pakistan
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50
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Thompson CL, Alberti M, Barve S, Battistuzzi FU, Drake JL, Goncalves GC, Govaert L, Partridge C, Yang Y. Back to the future: Reintegrating biology to understand how past eco-evolutionary change can predict future outcomes. Integr Comp Biol 2021; 61:2218-2232. [PMID: 33964141 DOI: 10.1093/icb/icab068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
During the last few decades, biologists have made remarkable progress in understanding the fundamental processes that shape life. But despite the unprecedented level of knowledge now available, large gaps still remain in our understanding of the complex interplay of eco-evolutionary mechanisms across scales of life. Rapidly changing environments on Earth provide a pressing need to understand the potential implications of eco-evolutionary dynamics, which can be achieved by improving existing eco-evolutionary models and fostering convergence among the sub-fields of biology. We propose a new, data-driven approach that harnesses our knowledge of the functioning of biological systems to expand current conceptual frameworks and develop corresponding models that can more accurately represent and predict future eco-evolutionary outcomes. We suggest a roadmap toward achieving this goal. This long-term vision will move biology in a direction that can wield these predictive models for scientific applications that benefit humanity and increase the resilience of natural biological systems. We identify short, medium, and long-term key objectives to connect our current state of knowledge to this long-term vision, iteratively progressing across three stages: 1) utilizing knowledge of biological systems to better inform eco-evolutionary models, 2) generating models with more accurate predictions, and 3) applying predictive models to benefit the biosphere. Within each stage, we outline avenues of investigation and scientific applications related to the timescales over which evolution occurs, the parameter space of eco-evolutionary processes, and the dynamic interactions between these mechanisms. The ability to accurately model, monitor, and anticipate eco-evolutionary changes would be transformational to humanity's interaction with the global environment, providing novel tools to benefit human health, protect the natural world, and manage our planet's biosphere.
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Affiliation(s)
| | - Marina Alberti
- Department of Urban Design and Planning, University of Washington,
| | - Sahas Barve
- Smithsonian National Museum of Natural History,
| | | | - Jeana L Drake
- Department of Earth, Planetary, and Space Sciences, University of California Los Angeles,
| | | | - Lynn Govaert
- Department of Evolutionary Biology and Environmental Studies, University of Zurich; Department of Aquatic Ecology, Swiss Federal Institute of Aquatic Science and Technology, URPP Global Change and Biodiversity, University of Zurich,
| | | | - Ya Yang
- Department of Plant and Microbial Biology, University of Minnesota,
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