Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
7
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Virome of Acute Respiratory Diseases in Individuals at Risk of Zoonotic Infections

      research-article

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The ongoing coronavirus disease 2019 (COVID-19) pandemic emphasizes the need to actively study the virome of unexplained respiratory diseases. We performed viral metagenomic next-generation sequencing (mNGS) analysis of 91 nasal-throat swabs from individuals working with animals and with acute respiratory diseases. Fifteen virus RT-PCR-positive samples were included as controls, while the other 76 samples were RT-PCR negative for a wide panel of respiratory pathogens. Eukaryotic viruses detected by mNGS were then screened by PCR (using primers based on mNGS-derived contigs) in all samples to compare viral detection by mNGS versus PCR and assess the utility of mNGS in routine diagnostics. mNGS identified expected human rhinoviruses, enteroviruses, influenza A virus, coronavirus OC43, and respiratory syncytial virus (RSV) A in 13 of 15 (86.7%) positive control samples. Additionally, rotavirus, torque teno virus, human papillomavirus, human betaherpesvirus 7, cyclovirus, vientovirus, gemycircularvirus, and statovirus were identified through mNGS. Notably, complete genomes of novel cyclovirus, gemycircularvirus, and statovirus were genetically characterized. Using PCR screening, the novel cyclovirus was additionally detected in 5 and the novel gemycircularvirus in 12 of the remaining samples included for mNGS analysis. Our studies therefore provide pioneering data of the virome of acute-respiratory diseases from individuals at risk of zoonotic infections. The mNGS protocol/pipeline applied here is sensitive for the detection of a variety of viruses, including novel ones. More frequent detections of the novel viruses by PCR than by mNGS on the same samples suggests that PCR remains the most sensitive diagnostic test for viruses whose genomes are known. The detection of novel viruses expands our understanding of the respiratory virome of animal-exposed humans and warrant further studies.

          Related collections

          Most cited references39

          • Record: found
          • Abstract: found
          • Article: not found

          An automated genotyping tool for enteroviruses and noroviruses.

          Molecular techniques are established as routine in virological laboratories and virus typing through (partial) sequence analysis is increasingly common. Quality assurance for the use of typing data requires harmonization of genotype nomenclature, and agreement on target genes, depending on the level of resolution required, and robustness of methods. To develop and validate web-based open-access typing-tools for enteroviruses and noroviruses. An automated web-based typing algorithm was developed, starting with BLAST analysis of the query sequence against a reference set of sequences from viruses in the family Picornaviridae or Caliciviridae. The second step is phylogenetic analysis of the query sequence and a sub-set of the reference sequences, to assign the enterovirus type or norovirus genotype and/or variant, with profile alignment, construction of phylogenetic trees and bootstrap validation. Typing is performed on VP1 sequences of Human enterovirus A to D, and ORF1 and ORF2 sequences of genogroup I and II noroviruses. For validation, we used the tools to automatically type sequences in the RIVM and CDC enterovirus databases and the FBVE norovirus database. Using the typing-tools, 785(99%) of 795 Enterovirus VP1 sequences, and 8154(98.5%) of 8342 norovirus sequences were typed in accordance with previously used methods. Subtyping into variants was achieved for 4439(78.4%) of 5838 NoV GII.4 sequences. The online typing-tools reliably assign genotypes for enteroviruses and noroviruses. The use of phylogenetic methods makes these tools robust to ongoing evolution. This should facilitate standardized genotyping and nomenclature in clinical and public health laboratories, thus supporting inter-laboratory comparisons. Copyright © 2011 Elsevier B.V. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            ICTV Virus Taxonomy Profile: Circoviridae

            The family Circoviridae comprises viruses with small, circular, single-stranded DNA (ssDNA) genomes, including the smallest known animal viruses. Members of this family are classified into two genera, Circovirus and Cyclovirus, which are distinguished by the position of the origin of replication relative to the coding regions and the length of the intergenic regions. Within each genus, the species demarcation threshold is 80 % genome-wide nucleotide sequence identity. This is a summary of the International Committee on Taxonomy of Viruses (ICTV) Report on the taxonomy of the Circoviridae, which is available at www.ictv.global/report/circoviridae.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              An ensemble strategy that significantly improves de novo assembly of microbial genomes from metagenomic next-generation sequencing data

              Next-generation sequencing (NGS) approaches rapidly produce millions to billions of short reads, which allow pathogen detection and discovery in human clinical, animal and environmental samples. A major limitation of sequence homology-based identification for highly divergent microorganisms is the short length of reads generated by most highly parallel sequencing technologies. Short reads require a high level of sequence similarities to annotated genes to confidently predict gene function or homology. Such recognition of highly divergent homologues can be improved by reference-free (de novo) assembly of short overlapping sequence reads into larger contigs. We describe an ensemble strategy that integrates the sequential use of various de Bruijn graph and overlap-layout-consensus assemblers with a novel partitioned sub-assembly approach. We also proposed new quality metrics that are suitable for evaluating metagenome de novo assembly. We demonstrate that this new ensemble strategy tested using in silico spike-in, clinical and environmental NGS datasets achieved significantly better contigs than current approaches.
                Bookmark

                Author and article information

                Journal
                Viruses
                Viruses
                viruses
                Viruses
                MDPI
                1999-4915
                29 August 2020
                September 2020
                : 12
                : 9
                : 960
                Affiliations
                [1 ]Doctoral School in Health Sciences, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; olli.vapalahti@ 123456helsinki.fi
                [2 ]Oxford University Clinical Research Unit, Ho Chi Minh City 7000, Vietnam; hongntt@ 123456oucru.org (N.T.T.H.); nynth@ 123456oucru.org (N.T.H.N.); phuctm@ 123456oucru.org (T.M.P.); tamptt@ 123456oucru.org (P.T.T.T.); nghiahdt@ 123456oucru.org (H.D.T.N.); huongdt@ 123456oucru.org (D.T.H.); gthwaites@ 123456oucru.org (G.T.)
                [3 ]Dong Thap Provincial Center for Disease Control, Cao Lanh City 660273, Dong Thap Province, Vietnam; anhanduong@ 123456gmail.com (D.A.H.); luuthithuha2018@ 123456gmail.com (L.T.T.H.)
                [4 ]Oxford University Clinical Research Unit, Ha Noi 8000, Vietnam; rvandoorn@ 123456oucru.org
                [5 ]Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK
                [6 ]Department of Laboratory Medicine, University of California, San Francisco, CA 94143, USA; XDeng@ 123456bloodsystems.org (X.D.); Eric.Delwart@ 123456ucsf.edu (E.D.)
                [7 ]Vitalant Research Institute, San Francisco, CA 94118, USA
                [8 ]Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, 00014 Helsinki, Finland; anna-maija.virtala@ 123456helsinki.fi
                [9 ]Virology and Immunology, HUSLAB, Helsinki University Hospital, 00029 Helsinki, Finland
                [10 ]Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge CB2 0QQ, UK; sgb47@ 123456medschl.cam.ac.uk
                Author notes
                [* ]Correspondence: tuntk@ 123456oucru.org (N.T.K.T.); tanlv@ 123456oucru.org (L.V.T.); Tel.: +84-89241761 (N.T.K.T.); +84-89241761 (L.V.T.)
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-5270-1181
                https://orcid.org/0000-0002-9807-1821
                https://orcid.org/0000-0002-6296-4484
                https://orcid.org/0000-0002-1791-3901
                Article
                viruses-12-00960
                10.3390/v12090960
                7552073
                32872469
                e8d66a5d-a938-41e5-aae5-ec2acfa49bb3
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 06 July 2020
                : 26 August 2020
                Categories
                Article

                Microbiology & Virology
                virome,acute respiratory disease,ngs,metagenomics,zoonoses,novel cyclovirus,novel statovirus,novel gemycircularvirus

                Comments

                Comment on this article