151
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Warwick-Dugdale J, Solonenko N, Moore K, Chittick L, Gregory AC, Allen MJ, Sullivan MB, Temperton B. Long-read viral metagenomics captures abundant and microdiverse viral populations and their niche-defining genomic islands. PeerJ 2019; 7:e6800. [PMID: 31086738 PMCID: PMC6487183 DOI: 10.7717/peerj.6800] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 03/14/2019] [Indexed: 01/18/2023] Open
Abstract
Marine viruses impact global biogeochemical cycles via their influence on host community structure and function, yet our understanding of viral ecology is constrained by limitations in host culturing and a lack of reference genomes and 'universal' gene markers to facilitate community surveys. Short-read viral metagenomic studies have provided clues to viral function and first estimates of global viral gene abundance and distribution, but their assemblies are confounded by populations with high levels of strain evenness and nucleotide diversity (microdiversity), limiting assembly of some of the most abundant viruses on Earth. Such features also challenge assembly across genomic islands containing niche-defining genes that drive ecological speciation. These populations and features may be successfully captured by single-virus genomics and fosmid-based approaches, at least in abundant taxa, but at considerable cost and technical expertise. Here we established a low-cost, low-input, high throughput alternative sequencing and informatics workflow to improve viral metagenomic assemblies using short-read and long-read technology. The 'VirION' (Viral, long-read metagenomics via MinION sequencing) approach was first validated using mock communities where it was found to be as relatively quantitative as short-read methods and provided significant improvements in recovery of viral genomes. We then then applied VirION to the first metagenome from a natural viral community from the Western English Channel. In comparison to a short-read only approach, VirION: (i) increased number and completeness of assembled viral genomes; (ii) captured abundant, highly microdiverse virus populations, and (iii) captured more and longer genomic islands. Together, these findings suggest that VirION provides a high throughput and cost-effective alternative to fosmid and single-virus genomic approaches to more comprehensively explore viral communities in nature.
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Affiliation(s)
- Joanna Warwick-Dugdale
- Plymouth Marine Laboratory, Plymouth, Devon, United Kingdom
- School of Biosciences, University of Exeter, Exeter, Devon, United Kingdom
| | - Natalie Solonenko
- Department of Microbiology, Ohio State University, Columbus, OH, United States of America
| | - Karen Moore
- School of Biosciences, University of Exeter, Exeter, Devon, United Kingdom
| | - Lauren Chittick
- Department of Microbiology, Ohio State University, Columbus, OH, United States of America
| | - Ann C. Gregory
- Department of Microbiology, Ohio State University, Columbus, OH, United States of America
| | - Michael J. Allen
- Plymouth Marine Laboratory, Plymouth, Devon, United Kingdom
- School of Biosciences, University of Exeter, Exeter, Devon, United Kingdom
| | - Matthew B. Sullivan
- Department of Microbiology, Ohio State University, Columbus, OH, United States of America
- Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, OH, United States of America
| | - Ben Temperton
- School of Biosciences, University of Exeter, Exeter, Devon, United Kingdom
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152
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Nagafuchi S, Mine K, Takahashi H, Anzai K, Yoshikai Y. Viruses with masked pathogenicity and genetically susceptible hosts-How to discover potentially pathogenic viruses. J Med Virol 2019; 91:1365-1367. [PMID: 30927455 DOI: 10.1002/jmv.25472] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 03/22/2019] [Accepted: 03/25/2019] [Indexed: 12/14/2022]
Affiliation(s)
- Seiho Nagafuchi
- Division of Metabolism and Endocrinology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Keiichiro Mine
- Division of Metabolism and Endocrinology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan.,Division of Host Defense, Research Center for the Prevention of Infectious Diseases, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Hirokazu Takahashi
- Division of Metabolism and Endocrinology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Keizo Anzai
- Division of Metabolism and Endocrinology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Yasunobu Yoshikai
- Division of Host Defense, Research Center for the Prevention of Infectious Diseases, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
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153
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Singer JB, Thomson EC, Hughes J, Aranday-Cortes E, McLauchlan J, da Silva Filipe A, Tong L, Manso CF, Gifford RJ, Robertson DL, Barnes E, Ansari MA, Mbisa JL, Bibby DF, Bradshaw D, Smith D. Interpreting Viral Deep Sequencing Data with GLUE. Viruses 2019; 11:E323. [PMID: 30987147 PMCID: PMC6520954 DOI: 10.3390/v11040323] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 03/13/2019] [Accepted: 03/14/2019] [Indexed: 01/29/2023] Open
Abstract
Using deep sequencing technologies such as Illumina's platform, it is possible to obtain reads from the viral RNA population revealing the viral genome diversity within a single host. A range of software tools and pipelines can transform raw deep sequencing reads into Sequence Alignment Mapping (SAM) files. We propose that interpretation tools should process these SAM files, directly translating individual reads to amino acids in order to extract statistics of interest such as the proportion of different amino acid residues at specific sites. This preserves per-read linkage between nucleotide variants at different positions within a codon location. The samReporter is a subsystem of the GLUE software toolkit which follows this direct read translation approach in its processing of SAM files. We test samReporter on a deep sequencing dataset obtained from a cohort of 241 UK HCV patients for whom prior treatment with direct-acting antivirals has failed; deep sequencing and resistance testing have been suggested to be of clinical use in this context. We compared the polymorphism interpretation results of the samReporter against an approach that does not preserve per-read linkage. We found that the samReporter was able to properly interpret the sequence data at resistance-associated locations in nine patients where the alternative approach was equivocal. In three cases, the samReporter confirmed that resistance or an atypical substitution was present at NS5A position 30. In three further cases, it confirmed that the sofosbuvir-resistant NS5B substitution S282T was absent. This suggests the direct read translation approach implemented is of value for interpreting viral deep sequencing data.
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Affiliation(s)
- Joshua B Singer
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Emma C Thomson
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Joseph Hughes
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | | | - John McLauchlan
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | | | - Lily Tong
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Carmen F Manso
- Virus Reference Department, National Infection Service, Public Health England, Colindale, London NW9 5EQ, UK.
| | - Robert J Gifford
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - David L Robertson
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
| | - Eleanor Barnes
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford OX1 3SY, UK.
| | - M Azim Ansari
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford OX1 3SY, UK.
| | - Jean L Mbisa
- Virus Reference Department, National Infection Service, Public Health England, Colindale, London NW9 5EQ, UK.
| | - David F Bibby
- Virus Reference Department, National Infection Service, Public Health England, Colindale, London NW9 5EQ, UK.
| | - Daniel Bradshaw
- Virus Reference Department, National Infection Service, Public Health England, Colindale, London NW9 5EQ, UK.
| | - David Smith
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford OX1 3SY, UK.
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154
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Martí-Carreras J, Maes P. Human cytomegalovirus genomics and transcriptomics through the lens of next-generation sequencing: revision and future challenges. Virus Genes 2019; 55:138-164. [PMID: 30604286 PMCID: PMC6458973 DOI: 10.1007/s11262-018-1627-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 12/14/2018] [Indexed: 12/13/2022]
Abstract
The human cytomegalovirus (HCMV) genome was sequenced by hierarchical shotgun almost 30 years ago. Over these years, low and high passaged strains have been sequenced, improving, albeit still far from complete, the understanding of the coding potential, expression dynamics and diversity of wild-type HCMV strains. Next-generation sequencing (NGS) platforms have enabled a huge advancement, facilitating the comparison of differentially passaged strains, challenging diagnostics and research based on a single or reduced gene set genotyping. In addition, it allowed to link genetic features to different viral phenotypes as for example, correlating large genomic re-arrangements to viral attenuation or different mutations to antiviral resistance and cell tropism. NGS platforms provided the first high-resolution experiments to HCMV dynamics, allowing the study of intra-host viral population structures and the description of rare transcriptional events. Long-read sequencing has recently become available, helping to identify new genomic re-arrangements, partially accounting for the genetic variability displayed in clinical isolates, as well as, in changing the understanding of the HCMV transcriptome. Better knowledge of the transcriptome resulted in a vast number of new splicing events and alternative transcripts, although most of them still need additional validation. This review summarizes the sequencing efforts reached so far, discussing its approaches and providing a revision and new nuances on HCMV sequence variability in the sequencing field.
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Affiliation(s)
- Joan Martí-Carreras
- Zoonotic Infectious Diseases Unit, Department of Microbiology and Immunology, Rega Institute, KU Leuven, Herestraat 49, Box 1040, 3000, Leuven, Belgium
| | - Piet Maes
- Zoonotic Infectious Diseases Unit, Department of Microbiology and Immunology, Rega Institute, KU Leuven, Herestraat 49, Box 1040, 3000, Leuven, Belgium.
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155
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Maurier F, Beury D, Fléchon L, Varré JS, Touzet H, Goffard A, Hot D, Caboche S. A complete protocol for whole-genome sequencing of virus from clinical samples: Application to coronavirus OC43. Virology 2019; 531:141-148. [PMID: 30878524 PMCID: PMC7112119 DOI: 10.1016/j.virol.2019.03.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 03/07/2019] [Accepted: 03/08/2019] [Indexed: 12/31/2022]
Abstract
Genome sequencing of virus has become a useful tool for better understanding of virus pathogenicity and epidemiological surveillance. Obtaining virus genome sequence directly from clinical samples is still a challenging task due to the low load of virus genetic material compared to the host DNA, and to the difficulty to get an accurate genome assembly. Here we introduce a complete sequencing and analyzing protocol called V-ASAP for Virus Amplicon Sequencing Assembly Pipeline. Our protocol is able to generate the viral dominant genome sequence starting from clinical samples. It is based on a multiplex PCR amplicon sequencing coupled with a reference-free analytical pipeline. This protocol was applied to 11 clinical samples infected with coronavirus OC43 (HcoV-OC43), and led to seven complete and two nearly complete genome assemblies. The protocol introduced here is shown to be robust, to produce a reliable sequence, and could be applied to other virus.
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Affiliation(s)
- Florence Maurier
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR8204 - CIIL - Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Delphine Beury
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR8204 - CIIL - Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Léa Fléchon
- Univ. Lille, CNRS, Inria, UMR 9189 - CRIStAL - Centre de Recherche en Informatique Signal et Automatique de Lille, Lille, France
| | - Jean-Stéphane Varré
- Univ. Lille, CNRS, Inria, UMR 9189 - CRIStAL - Centre de Recherche en Informatique Signal et Automatique de Lille, Lille, France
| | - Hélène Touzet
- Univ. Lille, CNRS, Inria, UMR 9189 - CRIStAL - Centre de Recherche en Informatique Signal et Automatique de Lille, Lille, France
| | - Anne Goffard
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR8204 - CIIL - Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - David Hot
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR8204 - CIIL - Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Ségolène Caboche
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR8204 - CIIL - Center for Infection and Immunity of Lille, F-59000 Lille, France.
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156
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Human cytomegalovirus haplotype reconstruction reveals high diversity due to superinfection and evidence of within-host recombination. Proc Natl Acad Sci U S A 2019; 116:5693-5698. [PMID: 30819890 PMCID: PMC6431178 DOI: 10.1073/pnas.1818130116] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Human cytomegalovirus (HCMV) is a major global cause of congenital disability and transplant-related morbidity. Excessive levels of within-host HCMV nucleotide diversity are attributed to unexpectedly high mutation rates. Here, we show that high HCMV diversity is due to the frequent presence of mixed infections with genetically distinct strains, whereas HCMV in nonmixed infections is no more diverse than other DNA viruses. Using serial patient samples, we reconstruct viral strain haplotypes to pinpoint the timing of HCMV superinfections occurring within the study sampling time frame and uncover within-host viral recombination. From these results, we identify likely sources of infection and demonstrate probable selection for recombinant viruses. These results generate new, yet testable, insights into putative viral and host drivers of HCMV evolution and pathogenesis. Recent sequencing efforts have led to estimates of human cytomegalovirus (HCMV) genome-wide intrahost diversity that rival those of persistent RNA viruses [Renzette N, Bhattacharjee B, Jensen JD, Gibson L, Kowalik TF (2011) PLoS Pathog 7:e1001344]. Here, we deep sequence HCMV genomes recovered from single and longitudinally collected blood samples from immunocompromised children to show that the observations of high within-host HCMV nucleotide diversity are explained by the frequent occurrence of mixed infections caused by genetically distant strains. To confirm this finding, we reconstructed within-host viral haplotypes from short-read sequence data. We verify that within-host HCMV nucleotide diversity in unmixed infections is no greater than that of other DNA viruses analyzed by the same sequencing and bioinformatic methods and considerably less than that of human immunodeficiency and hepatitis C viruses. By resolving individual viral haplotypes within patients, we reconstruct the timing, likely origins, and natural history of superinfecting strains. We uncover evidence for within-host recombination between genetically distinct HCMV strains, observing the loss of the parental virus containing the nonrecombinant fragment. The data suggest selection for strains containing the recombinant fragment, generating testable hypotheses about HCMV evolution and pathogenesis. These results highlight that high HCMV diversity present in some samples is caused by coinfection with multiple distinct strains and provide reassurance that within the host diversity for single-strain HCMV infections is no greater than for other herpesviruses.
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157
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Akhtar LN, Bowen CD, Renner DW, Pandey U, Della Fera AN, Kimberlin DW, Prichard MN, Whitley RJ, Weitzman MD, Szpara ML. Genotypic and Phenotypic Diversity of Herpes Simplex Virus 2 within the Infected Neonatal Population. mSphere 2019; 4:e00590-18. [PMID: 30814317 PMCID: PMC6393728 DOI: 10.1128/msphere.00590-18] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 02/04/2019] [Indexed: 12/16/2022] Open
Abstract
More than 14,000 neonates are infected with herpes simplex virus (HSV) annually. Approximately half display manifestations limited to the skin, eyes, or mouth (SEM disease). The rest develop invasive infections that spread to the central nervous system (CNS disease or encephalitis) or throughout the infected neonate (disseminated disease). Invasive HSV disease is associated with significant morbidity and mortality, but the viral and host factors that predispose neonates to these forms are unknown. To define viral diversity within the infected neonatal population, we evaluated 10 HSV-2 isolates from newborns with a range of clinical presentations. To assess viral fitness independently of host immune factors, we measured viral growth characteristics in cultured cells and found diverse in vitro phenotypes. Isolates from neonates with CNS disease were associated with larger plaque size and enhanced spread, with the isolates from cerebrospinal fluid (CSF) exhibiting the most robust growth. We sequenced complete viral genomes of all 10 neonatal viruses, providing new insights into HSV-2 genomic diversity in this clinical setting. We found extensive interhost and intrahost genomic diversity throughout the viral genome, including amino acid differences in more than 90% of the viral proteome. The genes encoding glycoprotein G (gG; US4), glycoprotein I (gI; US7), and glycoprotein K (gK; UL53) and viral proteins UL8, UL20, UL24, and US2 contained variants that were found in association with CNS isolates. Many of these viral proteins are known to contribute to cell spread and neurovirulence in mouse models of CNS disease. This report represents the first application of comparative pathogen genomics to neonatal HSV disease.IMPORTANCE Herpes simplex virus (HSV) causes invasive disease in half of infected neonates, resulting in significant mortality and permanent cognitive morbidity. The factors that contribute to invasive disease are not understood. This study revealed diversity among HSV isolates from infected neonates and detected the first associations between viral genetic variations and clinical disease manifestations. We found that viruses isolated from newborns with encephalitis showed enhanced spread in culture. These viruses contained protein-coding variations not found in viruses causing noninvasive disease. Many of these variations were found in proteins known to impact neurovirulence and viral spread between cells. This work advances our understanding of HSV diversity in the neonatal population and how it may impact disease outcome.
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Affiliation(s)
- Lisa N Akhtar
- Department of Pediatrics, Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Christopher D Bowen
- Department of Biochemistry and Molecular Biology, Center for Infectious Disease Dynamics, The Huck Institutes of the Life Sciences, Pennsylvania State University, State College, Pennsylvania, USA
| | - Daniel W Renner
- Department of Biochemistry and Molecular Biology, Center for Infectious Disease Dynamics, The Huck Institutes of the Life Sciences, Pennsylvania State University, State College, Pennsylvania, USA
| | - Utsav Pandey
- Department of Biochemistry and Molecular Biology, Center for Infectious Disease Dynamics, The Huck Institutes of the Life Sciences, Pennsylvania State University, State College, Pennsylvania, USA
| | - Ashley N Della Fera
- Department of Pathology and Laboratory Medicine, Division of Protective Immunity and Division of Cancer Pathobiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - David W Kimberlin
- Department of Pediatrics, Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Mark N Prichard
- Department of Pediatrics, Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Richard J Whitley
- Department of Pediatrics, Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Matthew D Weitzman
- Department of Pathology and Laboratory Medicine, Division of Protective Immunity and Division of Cancer Pathobiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Moriah L Szpara
- Department of Biochemistry and Molecular Biology, Center for Infectious Disease Dynamics, The Huck Institutes of the Life Sciences, Pennsylvania State University, State College, Pennsylvania, USA
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158
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Narihiro T, Kamagata Y. Genomics and Metagenomics in Microbial Ecology: Recent Advances and Challenges. Microbes Environ 2019; 32:1-4. [PMID: 28367917 PMCID: PMC5371069 DOI: 10.1264/jsme2.me3201rh] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- Takashi Narihiro
- Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST)
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159
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Costerus JM, Brouwer MC, van de Beek D. Technological advances and changing indications for lumbar puncture in neurological disorders. Lancet Neurol 2019; 17:268-278. [PMID: 29452686 DOI: 10.1016/s1474-4422(18)30033-4] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Revised: 11/24/2017] [Accepted: 11/28/2017] [Indexed: 01/12/2023]
Abstract
Technological advances have changed the indications for and the way in which lumbar puncture is done. Suspected CNS infection remains the most common indication for lumbar puncture, but new molecular techniques have broadened CSF analysis indications, such as the determination of neuronal autoantibodies in autoimmune encephalitis. New screening techniques have increased sensitvity for pathogen detection and can be used to identify pathogens that were previously unknown to cause CNS infections. Evidence suggests that potential treatments for neurodegenerative diseases, such as Alzheimer's disease, will rely on early detection of the disease with the use of CSF biomarkers. In addition to being used as a diagnostic tool, lumbar puncture can also be used to administer intrathecal treatments as shown by studies of antisense oligonucleotides in patients with spinal muscular atrophy. Lumbar puncture is generally a safe procedure but complications can occur, ranging from minor (eg, back pain) to potentially devastating (eg, cerebral herniation). Evidence that an atraumatic needle tip design reduces complications of lumbar puncture is compelling, and reinforces the need to change clinical practice.
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Affiliation(s)
- Joost M Costerus
- Department of Neurology, Academic Medical Center, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Matthijs C Brouwer
- Department of Neurology, Academic Medical Center, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Diederik van de Beek
- Department of Neurology, Academic Medical Center, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands.
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160
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Roux S, Brum JR. A viral reckoning: viruses emerge as essential manipulators of global ecosystems. ENVIRONMENTAL MICROBIOLOGY REPORTS 2019; 11:3-8. [PMID: 30298570 DOI: 10.1111/1758-2229.12700] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Accepted: 09/30/2018] [Indexed: 06/08/2023]
Affiliation(s)
- Simon Roux
- US DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Walnut Creek, CA, 94598, USA
| | - Jennifer R Brum
- Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA, 70808, USA
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161
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Molecular Characterisation of Equine Herpesvirus 1 Isolates from Cases of Abortion, Respiratory and Neurological Disease in Ireland between 1990 and 2017. Pathogens 2019; 8:pathogens8010007. [PMID: 30650561 PMCID: PMC6471309 DOI: 10.3390/pathogens8010007] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 01/04/2019] [Accepted: 01/08/2019] [Indexed: 12/27/2022] Open
Abstract
Multiple locus typing based on sequencing heterologous regions in 26 open reading frames (ORFs) of equine herpesvirus 1 (EHV-1) strains Ab4 and V592 was used to characterise 272 EHV-1 isolates from 238 outbreaks of abortion, respiratory or neurological disease over a 28-year period. The analysis grouped the 272 viruses into at least 10 of the 13 unique long region (UL) clades previously recognised. Viruses from the same outbreak had identical multi-locus profiles. Sequencing of the ORF68 region of EHV-1 isolates from 222 outbreaks established a divergence into seven groups and network analysis demonstrated that Irish genotypes were not geographically restricted but clustered with viruses from all over the world. Multi-locus analysis proved a more comprehensive method of strain typing than ORF68 sequencing. It was demonstrated that when interpreted in combination with epidemiological data, this type of analysis has a potential role in tracking virus between premises and therefore in the implementation of targeted control measures. Viruses from 31 of 238 outbreaks analysed had the proposed ORF30 G2254/D752 neuropathogenic marker. There was a statistically significant association between viruses of the G2254/D752 genotype and both neurological disease and hypervirulence as defined by outbreaks involving multiple abortion or neurological cases. The association of neurological disease in those with the G2254/D752 genotype was estimated as 27 times greater than in those with the A2254/N752 genotype.
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162
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Kim WK, No JS, Lee SH, Song DH, Lee D, Kim JA, Gu SH, Park S, Jeong ST, Kim HC, Klein TA, Wiley MR, Palacios G, Song JW. Multiplex PCR-Based Next-Generation Sequencing and Global Diversity of Seoul Virus in Humans and Rats. Emerg Infect Dis 2019; 24:249-257. [PMID: 29350137 PMCID: PMC5782898 DOI: 10.3201/eid2402.171216] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Seoul virus (SEOV) poses a worldwide public health threat. This virus, which is harbored by Rattus norvegicus and R. rattus rats, is the causative agent of hemorrhagic fever with renal syndrome (HFRS) in humans, which has been reported in Asia, Europe, the Americas, and Africa. Defining SEOV genome sequences plays a critical role in development of preventive and therapeutic strategies against the unique worldwide hantavirus. We applied multiplex PCR-based next-generation sequencing to obtain SEOV genome sequences from clinical and reservoir host specimens. Epidemiologic surveillance of R. norvegicus rats in South Korea during 2000-2016 demonstrated that the serologic prevalence of enzootic SEOV infections was not significant on the basis of sex, weight (age), and season. Viral loads of SEOV in rats showed wide dissemination in tissues and dynamic circulation among populations. Phylogenetic analyses showed the global diversity of SEOV and possible genomic configuration of genetic exchanges.
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163
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Runtuwene LR, Tuda JSB, Mongan AE, Suzuki Y. On-Site MinION Sequencing. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1129:143-150. [PMID: 30968366 DOI: 10.1007/978-981-13-6037-4_10] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
DNA sequencing has reached an unprecedented level with the advent of Oxford Nanopore Technologies' MinION. The low equipment investment, ease of library preparation, small size, and powered only by a laptop computer enable the portability for on-site sequencing. MinION has had its role in clinical, biosecurity, and environmental fields. Here, we describe the many facets of on-site sequencing with MinION. First, we will present some field works using MinION. We will discuss the requirements for targeted or whole genome sequencing and the challenges faced by each technique. We will also elaborate the bioinformatics procedures available for data analysis in the field. MinION has greatly changed the way we do sequencing by bringing the sequencer closer to the biodiversity. Although numerous limitations exist for MinION to be truly portable, improvements of procedures and equipment will enhance MinION's role in the field.
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Affiliation(s)
- Lucky R Runtuwene
- Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
| | - Josef S B Tuda
- Faculty of Medicine, Sam Ratulangi University, Manado, Indonesia
| | - Arthur E Mongan
- Faculty of Medicine, Sam Ratulangi University, Manado, Indonesia
| | - Yutaka Suzuki
- Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
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164
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Roux S, Adriaenssens EM, Dutilh BE, Koonin EV, Kropinski AM, Krupovic M, Kuhn JH, Lavigne R, Brister JR, Varsani A, Amid C, Aziz RK, Bordenstein SR, Bork P, Breitbart M, Cochrane GR, Daly RA, Desnues C, Duhaime MB, Emerson JB, Enault F, Fuhrman JA, Hingamp P, Hugenholtz P, Hurwitz BL, Ivanova NN, Labonté JM, Lee KB, Malmstrom RR, Martinez-Garcia M, Mizrachi IK, Ogata H, Páez-Espino D, Petit MA, Putonti C, Rattei T, Reyes A, Rodriguez-Valera F, Rosario K, Schriml L, Schulz F, Steward GF, Sullivan MB, Sunagawa S, Suttle CA, Temperton B, Tringe SG, Thurber RV, Webster NS, Whiteson KL, Wilhelm SW, Wommack KE, Woyke T, Wrighton KC, Yilmaz P, Yoshida T, Young MJ, Yutin N, Allen LZ, Kyrpides NC, Eloe-Fadrosh EA. Minimum Information about an Uncultivated Virus Genome (MIUViG). Nat Biotechnol 2019; 37:29-37. [PMID: 30556814 PMCID: PMC6871006 DOI: 10.1038/nbt.4306] [Citation(s) in RCA: 327] [Impact Index Per Article: 65.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 11/01/2018] [Indexed: 12/22/2022]
Abstract
We present an extension of the Minimum Information about any (x) Sequence (MIxS) standard for reporting sequences of uncultivated virus genomes. Minimum Information about an Uncultivated Virus Genome (MIUViG) standards were developed within the Genomic Standards Consortium framework and include virus origin, genome quality, genome annotation, taxonomic classification, biogeographic distribution and in silico host prediction. Community-wide adoption of MIUViG standards, which complement the Minimum Information about a Single Amplified Genome (MISAG) and Metagenome-Assembled Genome (MIMAG) standards for uncultivated bacteria and archaea, will improve the reporting of uncultivated virus genomes in public databases. In turn, this should enable more robust comparative studies and a systematic exploration of the global virosphere.
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Affiliation(s)
- Simon Roux
- US Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | | | - Bas E Dutilh
- Theoretical Biology and Bioinformatics, Utrecht University, Utrecht, the Netherlands
- Centre for Molecular and Biomolecular Informatics, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Eugene V Koonin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland USA
| | - Andrew M Kropinski
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario Canada
| | - Mart Krupovic
- Institut Pasteur, Unité Biologie Moléculaire du Gène chez les Extrêmophiles, Paris, France
| | - Jens H Kuhn
- Integrated Research Facility at Fort Detrick, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Fort Detrick, Frederick, Maryland USA
| | - Rob Lavigne
- KU Leuven, Laboratory of Gene Technology, Heverlee, Belgium
| | - J Rodney Brister
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland USA
| | - Arvind Varsani
- Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, Arizona USA
- Department of Integrative Biomedical Sciences, Structural Biology Research Unit, University of Cape Town, Observatory, Cape Town, South Africa
| | - Clara Amid
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, UK
| | - Ramy K Aziz
- Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Cairo, Egypt
| | - Seth R Bordenstein
- Departments of Biological Sciences and Pathology, Microbiology, and Immunology, Vanderbilt Institute for Infection, Immunology and Inflammation, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee USA
| | - Peer Bork
- European Molecular Biology Laboratory, Heidelberg, Germany
| | - Mya Breitbart
- College of Marine Science, University of South Florida, Saint Petersburg, Florida USA
| | - Guy R Cochrane
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, UK
| | - Rebecca A Daly
- Soil and Crop Sciences Department, Colorado State University, Fort Collins, Colorado USA
| | - Christelle Desnues
- Aix-Marseille Université, CNRS, MEPHI, IHU Méditerranée Infection, Marseille, France
| | - Melissa B Duhaime
- Department of Ecology & Evolutionary Biology, University of Michigan, Ann Arbor, Michigan USA
| | - Joanne B Emerson
- Department of Plant Pathology, University of California, Davis, Davis, California USA
| | - François Enault
- LMGE,UMR 6023 CNRS, Université Clermont Auvergne, Aubiére, France
| | - Jed A Fuhrman
- University of Southern California, Los Angeles, Los Angeles, California USA
| | - Pascal Hingamp
- Aix Marseille Université,
- , Université de Toulon, CNRS, IRD, MIO UM 110, Marseille, France
| | - Philip Hugenholtz
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, Queensland Australia
| | - Bonnie L Hurwitz
- Department of Agricultural and Biosystems Engineering, University of Arizona, Tucson, Arizona USA
- BIO5 Research Institute, University of Arizona, Tucson, Arizona USA
| | - Natalia N Ivanova
- US Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | - Jessica M Labonté
- Department of Marine Biology, Texas A&M University at Galveston, Galveston, Texas USA
| | - Kyung-Bum Lee
- DDBJ Center, National Institute of Genetics, Mishima, Shizuoka Japan
| | - Rex R Malmstrom
- US Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | - Manuel Martinez-Garcia
- Department of Physiology, Genetics and Microbiology, University of Alicante, Alicante, Spain
| | - Ilene Karsch Mizrachi
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland USA
| | - Hiroyuki Ogata
- Institute for Chemical Research, Kyoto University, Uji, Japan
| | - David Páez-Espino
- US Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | - Marie-Agnès Petit
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Catherine Putonti
- Department of Biology, Loyola University Chicago, Chicago, Illinois USA
- Bioinformatics Program, Loyola University Chicago, Chicago, Illinois USA
- Department of Computer Science, Loyola University Chicago, Chicago, Illinois USA
| | - Thomas Rattei
- Division of Computational Systems Biology, Department of Microbiology and Ecosystem Science, Research Network “Chemistry Meets Microbiology,” University of Vienna, Vienna, Austria
| | - Alejandro Reyes
- Department of Biological Sciences, Max Planck Tandem Group in Computational Biology, Universidad de los Andes, Bogotá, Colombia
| | - Francisco Rodriguez-Valera
- Departamento de Producción Vegetal y Microbiología, Evolutionary Genomics Group, Universidad Miguel Hernández, Alicante, Spain
| | - Karyna Rosario
- College of Marine Science, University of South Florida, Saint Petersburg, Florida USA
| | - Lynn Schriml
- University of Maryland School of Medicine, Baltimore, Maryland USA
| | - Frederik Schulz
- US Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | - Grieg F Steward
- Department of Oceanography, Center for Microbial Oceanography: Research and Education, University of Hawai'i at Mānoa, Honolulu, Hawai'i USA
| | - Matthew B Sullivan
- Department of Microbiology, The Ohio State University, Columbus, Ohio USA
- Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, Ohio USA
| | | | - Curtis A Suttle
- Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Vancouver, British Columbia Canada
- Department of Botany, University of British Columbia, Vancouver, British Columbia Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia Canada
- Institute of Oceans and Fisheries, University of British Columbia, Vancouver, British Columbia Canada
| | - Ben Temperton
- School of Biosciences, University of Exeter, Exeter, UK
| | - Susannah G Tringe
- US Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | | | - Nicole S Webster
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, Queensland Australia
- Australian Institute of Marine Science, Townsville, Queensland Australia
| | - Katrine L Whiteson
- Department of Molecular Biology and Biochemistry, University of California, Irvine, California USA
| | - Steven W Wilhelm
- Department of Microbiology, University of Tennessee, Knoxville, Tennessee USA
| | - K Eric Wommack
- University of Delaware, Delaware Biotechnology Institute, Newark, Delaware USA
| | - Tanja Woyke
- US Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | - Kelly C Wrighton
- Soil and Crop Sciences Department, Colorado State University, Fort Collins, Colorado USA
| | - Pelin Yilmaz
- Microbial Physiology Group, Max Planck Institute for Marine Microbiology, Bremen, Germany
| | - Takashi Yoshida
- Graduate School of Agriculture, Kyoto University, Kitashirakawa-Oiwake, Kyoto, Japan
| | - Mark J Young
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, Montana USA
| | - Natalya Yutin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland USA
| | - Lisa Zeigler Allen
- J Craig Venter Institute, La Jolla, California USA
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA.,
| | - Nikos C Kyrpides
- US Department of Energy Joint Genome Institute, Walnut Creek, California USA
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165
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Metsky HC, Siddle KJ, Gladden-Young A, Qu J, Yang DK, Brehio P, Goldfarb A, Piantadosi A, Wohl S, Carter A, Lin AE, Barnes KG, Tully DC, Corleis B, Hennigan S, Barbosa-Lima G, Vieira YR, Paul LM, Tan AL, Garcia KF, Parham LA, Odia I, Eromon P, Folarin OA, Goba A, Simon-Lorière E, Hensley L, Balmaseda A, Harris E, Kwon DS, Allen TM, Runstadler JA, Smole S, Bozza FA, Souza TML, Isern S, Michael SF, Lorenzana I, Gehrke L, Bosch I, Ebel G, Grant DS, Happi CT, Park DJ, Gnirke A, Sabeti PC, Matranga CB. Capturing sequence diversity in metagenomes with comprehensive and scalable probe design. Nat Biotechnol 2019; 37:160-168. [PMID: 30718881 PMCID: PMC6587591 DOI: 10.1038/s41587-018-0006-x] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 12/18/2018] [Indexed: 01/24/2023]
Abstract
Metagenomic sequencing has the potential to transform microbial detection and characterization, but new tools are needed to improve its sensitivity. Here we present CATCH, a computational method to enhance nucleic acid capture for enrichment of diverse microbial taxa. CATCH designs optimal probe sets, with a specified number of oligonucleotides, that achieve full coverage of, and scale well with, known sequence diversity. We focus on applying CATCH to capture viral genomes in complex metagenomic samples. We design, synthesize, and validate multiple probe sets, including one that targets the whole genomes of the 356 viral species known to infect humans. Capture with these probe sets enriches unique viral content on average 18-fold, allowing us to assemble genomes that could not be recovered without enrichment, and accurately preserves within-sample diversity. We also use these probe sets to recover genomes from the 2018 Lassa fever outbreak in Nigeria and to improve detection of uncharacterized viral infections in human and mosquito samples. The results demonstrate that CATCH enables more sensitive and cost-effective metagenomic sequencing.
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Affiliation(s)
- Hayden C. Metsky
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA ,0000 0001 2341 2786grid.116068.8Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA USA
| | - Katherine J. Siddle
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA ,000000041936754Xgrid.38142.3cDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA USA
| | | | - James Qu
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - David K. Yang
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA ,000000041936754Xgrid.38142.3cDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA USA
| | - Patrick Brehio
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Andrew Goldfarb
- 000000041936754Xgrid.38142.3cFaculty of Arts and Sciences, Harvard University, Cambridge, MA USA
| | - Anne Piantadosi
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA ,0000 0004 0386 9924grid.32224.35Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA USA
| | - Shirlee Wohl
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA ,000000041936754Xgrid.38142.3cDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA USA
| | - Amber Carter
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Aaron E. Lin
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA ,000000041936754Xgrid.38142.3cDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA USA
| | - Kayla G. Barnes
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA ,000000041936754Xgrid.38142.3cDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA USA ,000000041936754Xgrid.38142.3cDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA USA
| | - Damien C. Tully
- 0000 0004 0489 3491grid.461656.6The Ragon Institute of MGH, MIT and Harvard, Cambridge, MA USA
| | - Bjӧrn Corleis
- 0000 0004 0489 3491grid.461656.6The Ragon Institute of MGH, MIT and Harvard, Cambridge, MA USA
| | - Scott Hennigan
- 0000 0004 0378 6934grid.416511.6Massachusetts Department of Public Health, Boston, MA USA
| | - Giselle Barbosa-Lima
- 0000 0001 0723 0931grid.418068.3Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Yasmine R. Vieira
- 0000 0001 0723 0931grid.418068.3Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Lauren M. Paul
- 0000 0001 0647 2963grid.255962.fDepartment of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, FL USA
| | - Amanda L. Tan
- 0000 0001 0647 2963grid.255962.fDepartment of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, FL USA
| | - Kimberly F. Garcia
- 0000 0001 2297 2829grid.10601.36Instituto de Investigacion en Microbiologia, Universidad Nacional Autónoma de Honduras, Tegucigalpa, Honduras
| | - Leda A. Parham
- 0000 0001 2297 2829grid.10601.36Instituto de Investigacion en Microbiologia, Universidad Nacional Autónoma de Honduras, Tegucigalpa, Honduras
| | - Ikponmwosa Odia
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Nigeria
| | - Philomena Eromon
- grid.442553.1African Center of Excellence for Genomics of Infectious Disease (ACEGID), Redeemer’s University, Ede, Nigeria
| | - Onikepe A. Folarin
- grid.442553.1African Center of Excellence for Genomics of Infectious Disease (ACEGID), Redeemer’s University, Ede, Nigeria ,grid.442553.1Department of Biological Sciences, College of Natural Sciences, Redeemer’s University, Ede, Nigeria
| | - Augustine Goba
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Sierra Leone
| | | | - Etienne Simon-Lorière
- 0000 0001 2353 6535grid.428999.7Evolutionary Genomics of RNA Viruses, Virology Department, Institut Pasteur, Paris, France
| | - Lisa Hensley
- 0000 0001 2164 9667grid.419681.3Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, US National Institutes of Health, Frederick, MD USA
| | - Angel Balmaseda
- Laboratorio Nacional de Virología, Centro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, Nicaragua
| | - Eva Harris
- 0000 0001 2181 7878grid.47840.3fDivision of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, CA USA
| | - Douglas S. Kwon
- 0000 0004 0386 9924grid.32224.35Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA USA ,0000 0004 0489 3491grid.461656.6The Ragon Institute of MGH, MIT and Harvard, Cambridge, MA USA
| | - Todd M. Allen
- 0000 0004 0489 3491grid.461656.6The Ragon Institute of MGH, MIT and Harvard, Cambridge, MA USA
| | - Jonathan A. Runstadler
- 0000 0004 1936 7531grid.429997.8Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University, North Grafton, MA USA
| | - Sandra Smole
- 0000 0004 0378 6934grid.416511.6Massachusetts Department of Public Health, Boston, MA USA
| | - Fernando A. Bozza
- 0000 0001 0723 0931grid.418068.3Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Thiago M. L. Souza
- 0000 0001 0723 0931grid.418068.3Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Sharon Isern
- 0000 0001 0647 2963grid.255962.fDepartment of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, FL USA
| | - Scott F. Michael
- 0000 0001 0647 2963grid.255962.fDepartment of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, FL USA
| | - Ivette Lorenzana
- 0000 0001 2297 2829grid.10601.36Instituto de Investigacion en Microbiologia, Universidad Nacional Autónoma de Honduras, Tegucigalpa, Honduras
| | - Lee Gehrke
- 0000 0001 2341 2786grid.116068.8Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA USA ,000000041936754Xgrid.38142.3cDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, MA USA
| | - Irene Bosch
- 0000 0001 2341 2786grid.116068.8Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA USA
| | - Gregory Ebel
- 0000 0004 1936 8083grid.47894.36Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO USA
| | - Donald S. Grant
- Lassa Fever Laboratory, Kenema Government Hospital, Kenema, Sierra Leone ,0000 0001 2290 9707grid.442296.fCollege of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone
| | - Christian T. Happi
- 000000041936754Xgrid.38142.3cDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA USA ,Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Nigeria ,grid.442553.1African Center of Excellence for Genomics of Infectious Disease (ACEGID), Redeemer’s University, Ede, Nigeria ,grid.442553.1Department of Biological Sciences, College of Natural Sciences, Redeemer’s University, Ede, Nigeria
| | - Daniel J. Park
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Andreas Gnirke
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Pardis C. Sabeti
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, MA USA ,000000041936754Xgrid.38142.3cDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA USA ,000000041936754Xgrid.38142.3cDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA USA ,0000 0001 2167 1581grid.413575.1Howard Hughes Medical Institute, Chevy Chase, MD USA
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166
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Shapshak P, Balaji S, Kangueane P, Chiappelli F, Somboonwit C, Menezes LJ, Sinnott JT. Innovative Technologies for Advancement of WHO Risk Group 4 Pathogens Research. GLOBAL VIROLOGY III: VIROLOGY IN THE 21ST CENTURY 2019. [PMCID: PMC7122670 DOI: 10.1007/978-3-030-29022-1_15] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Paul Shapshak
- Department of Internal Medicine, University of South Florida, Tampa, FL USA
| | - Seetharaman Balaji
- Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka India
| | | | - Francesco Chiappelli
- Oral Biology and Medicine, CHS 63-090, UCLA School of Dentistry Oral Biology and Medicine, CHS 63-090, Los Angeles, CA USA
| | | | - Lynette J. Menezes
- Department of Internal Medicine, University of South Florida, Tampa, FL USA
| | - John T. Sinnott
- Department of Internal Medicine, University of South Florida, Tampa, FL USA
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167
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Burbelo PD, Iadarola MJ, Chaturvedi A. Emerging technologies for the detection of viral infections. Future Virol 2018; 14:39-49. [PMID: 31933674 DOI: 10.2217/fvl-2018-0145] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Viruses represent one of the major environmental agents that cause human illness and disease. However, the ability to diagnose viral infections is limited by detection capability and scope. Here we describe several emerging technologies that provide rapid and/or high-quality viral diagnostic information. Two technologies, novel CRISPR-based diagnostics and a portable DNA sequencing instrument, are uniquely suited to increase the number of viral agents analyzed, even in point of care settings. We also discuss a phage-based method for generating comprehensive viral profiles of previous exposure/infection and a fluid-phase immunoassay that yields highly quantitative viral antibody analyses. Future applications of these approaches will accelerate on-site clinical diagnosis of viral infections and provide insights into the role viruses play in complex diseases.
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Affiliation(s)
- Peter D Burbelo
- Dental Clinical Research Core, National Institute of Dental and Craniofacial Research, NIH, Bethesda, MD, USA
| | - Michael J Iadarola
- Department of Perioperative Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Adrija Chaturvedi
- Dental Clinical Research Core, National Institute of Dental and Craniofacial Research, NIH, Bethesda, MD, USA
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168
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Rodrigo C, Luciani F. Dynamic interactions between RNA viruses and human hosts unravelled by a decade of next generation sequencing. Biochim Biophys Acta Gen Subj 2018; 1863:511-519. [PMID: 30528489 DOI: 10.1016/j.bbagen.2018.12.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2018] [Revised: 11/27/2018] [Accepted: 12/04/2018] [Indexed: 01/15/2023]
Abstract
BACKGROUND Next generation sequencing (NGS) methods have significantly contributed to a paradigm shift in genomic research for nearly a decade now. These methods have been useful in studying the dynamic interactions between RNA viruses and human hosts. SCOPE OF THE REVIEW In this review, we summarise and discuss key applications of NGS in studying the host - pathogen interactions in RNA viral infections of humans with examples. MAJOR CONCLUSIONS Use of NGS to study globally relevant RNA viral infections have revolutionized our understanding of the within host and between host evolution of these viruses. These methods have also been useful in clinical decision-making and in guiding biomedical research on vaccine design. GENERAL SIGNIFICANCE NGS has been instrumental in viral genomic studies in resolving within-host viral genomic variants and the distribution of nucleotide polymorphisms along the full-length of viral genomes in a high throughput, cost effective manner. In the future, novel advances such as long read, single molecule sequencing of viral genomes and simultaneous sequencing of host and pathogens may become the standard of practice in research and clinical settings. This will also bring on new challenges in big data analysis.
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Affiliation(s)
- Chaturaka Rodrigo
- School of Medical Sciences and Kirby Institute for Infection and Immunity, UNSW Australia, 2052, NSW, Australia
| | - Fabio Luciani
- School of Medical Sciences and Kirby Institute for Infection and Immunity, UNSW Australia, 2052, NSW, Australia.
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169
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Maggi F, Pistello M, Antonelli G. Future management of viral diseases: role of new technologies and new approaches in microbial interactions. Clin Microbiol Infect 2018; 25:136-141. [PMID: 30502490 DOI: 10.1016/j.cmi.2018.11.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 11/03/2018] [Accepted: 11/10/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND New technologies allow rapid detecting and counting of virus genomes in clinical specimens, defining susceptibility to specific antivirals, pinpointing molecular sequences correlated to virulence traits, and identifying viral and host factors driving resolution or chronicity of infections. As a result, during the past three decades the diagnostic virology laboratory has become crucial for patient care and an integral component of the multifarious armamentarium for patient management. This change in paradigm has caused obsolescence of methods once considered the reference standard of infectious disease diagnosis that were used to detect whole or specific components of virions in the specimen. OBJECTIVES This review provides an overview of standard and novel technologies applied to molecular diagnosis of viral infections and illustrates some crucial points for correcting interpretation of the laboratory data. SOURCES Peer-reviewed literature of topics pertinent to this review. CONTENT AND IMPLICATIONS New technologies are reinventing the way virologic diagnoses are made, with a conversion to new, simpler-to-use platforms. Although indicated for the same purpose, not all methods are equal and can yield different results. Further, tests identifying multiple analytes at once can detect microorganisms present or activated as a result of pathologic processes triggered by other pathogens or noninfectious causes. Thus, new directions will have to be taken in the way in which the diagnoses of viral diseases are performed. This represents a breakthrough in the clinical virology laboratory.
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Affiliation(s)
- F Maggi
- Department of Translational Research, Retrovirus Center and Virology Section, University of Pisa, Pisa, Italy; Virology Division, Pisa University Hospital, Pisa, Italy
| | - M Pistello
- Department of Translational Research, Retrovirus Center and Virology Section, University of Pisa, Pisa, Italy; Virology Division, Pisa University Hospital, Pisa, Italy
| | - G Antonelli
- Department of Molecular Medicine, Laboratory of Virology and Pasteur Institute-Cenci Bolognetti Foundation, Sapienza University of Rome, Rome, Italy; Microbiology and Virology Unit, Sapienza University Hospital 'Policlinico Umberto I,' Rome, Italy.
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170
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Gaudin M, Desnues C. Hybrid Capture-Based Next Generation Sequencing and Its Application to Human Infectious Diseases. Front Microbiol 2018; 9:2924. [PMID: 30542340 PMCID: PMC6277869 DOI: 10.3389/fmicb.2018.02924] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 11/14/2018] [Indexed: 01/12/2023] Open
Abstract
This review describes target-enrichment approaches followed by next generation sequencing and their recent application to the research and diagnostic field of modern and past infectious human diseases caused by viruses, bacteria, parasites and fungi.
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Affiliation(s)
- Maxime Gaudin
- IRD 198, CNRS FRE2013, Assistance-Publique des Hôpitaux de Marseille, UMR Microbes, Evolution, Phylogeny and Infections (MEPHI), IHU Méditerranée Infection, Aix-Marseille Université, Marseille, France
| | - Christelle Desnues
- IRD 198, CNRS FRE2013, Assistance-Publique des Hôpitaux de Marseille, UMR Microbes, Evolution, Phylogeny and Infections (MEPHI), IHU Méditerranée Infection, Aix-Marseille Université, Marseille, France
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171
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Gallagher MD, Matejusova I, Nguyen L, Ruane NM, Falk K, Macqueen DJ. Nanopore sequencing for rapid diagnostics of salmonid RNA viruses. Sci Rep 2018; 8:16307. [PMID: 30397226 PMCID: PMC6218516 DOI: 10.1038/s41598-018-34464-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 10/19/2018] [Indexed: 12/16/2022] Open
Abstract
Analysis of pathogen genome variation is essential for informing disease management and control measures in farmed animals. For farmed fish, the standard approach is to use PCR and Sanger sequencing to study partial regions of pathogen genomes, with second and third-generation sequencing tools yet to be widely applied. Here we demonstrate rapid and accurate sequencing of two disease-causing viruses affecting global salmonid aquaculture, salmonid alphavirus (SAV) and infectious salmon anaemia virus (ISAV), using third-generation nanopore sequencing on the MinION platform (Oxford Nanopore Technologies). Our approach complements PCR from infected material with MinION sequencing to recover genomic information that matches near perfectly to Sanger-verified references. We use this method to present the first SAV subtype-6 genome, which branches as the sister to all other SAV lineages in a genome-wide phylogenetic reconstruction. MinION sequencing offers an effective strategy for fast, genome-wide analysis of fish viruses, with major potential applications for diagnostics and robust investigations into the origins and spread of disease outbreaks.
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Affiliation(s)
- Michael D Gallagher
- School of Biological Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, United Kingdom
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, EH25 9RG, United Kingdom
| | - Iveta Matejusova
- Marine Scotland Science, Marine Laboratory, Aberdeen, AB11 9DB, United Kingdom
| | - Lien Nguyen
- School of Biological Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, United Kingdom
| | - Neil M Ruane
- Fish Health Unit, Marine Institute, Rinville Oranmore, Co, Galway, Ireland
| | - Knut Falk
- Norwegian Veterinary Institute, Ullevålsveien 68, 0454, Oslo, Norway
| | - Daniel J Macqueen
- School of Biological Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, United Kingdom.
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, EH25 9RG, United Kingdom.
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172
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Walper SA, Lasarte Aragonés G, Sapsford KE, Brown CW, Rowland CE, Breger JC, Medintz IL. Detecting Biothreat Agents: From Current Diagnostics to Developing Sensor Technologies. ACS Sens 2018; 3:1894-2024. [PMID: 30080029 DOI: 10.1021/acssensors.8b00420] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Although a fundamental understanding of the pathogenicity of most biothreat agents has been elucidated and available treatments have increased substantially over the past decades, they still represent a significant public health threat in this age of (bio)terrorism, indiscriminate warfare, pollution, climate change, unchecked population growth, and globalization. The key step to almost all prevention, protection, prophylaxis, post-exposure treatment, and mitigation of any bioagent is early detection. Here, we review available methods for detecting bioagents including pathogenic bacteria and viruses along with their toxins. An introduction placing this subject in the historical context of previous naturally occurring outbreaks and efforts to weaponize selected agents is first provided along with definitions and relevant considerations. An overview of the detection technologies that find use in this endeavor along with how they provide data or transduce signal within a sensing configuration follows. Current "gold" standards for biothreat detection/diagnostics along with a listing of relevant FDA approved in vitro diagnostic devices is then discussed to provide an overview of the current state of the art. Given the 2014 outbreak of Ebola virus in Western Africa and the recent 2016 spread of Zika virus in the Americas, discussion of what constitutes a public health emergency and how new in vitro diagnostic devices are authorized for emergency use in the U.S. are also included. The majority of the Review is then subdivided around the sensing of bacterial, viral, and toxin biothreats with each including an overview of the major agents in that class, a detailed cross-section of different sensing methods in development based on assay format or analytical technique, and some discussion of related microfluidic lab-on-a-chip/point-of-care devices. Finally, an outlook is given on how this field will develop from the perspective of the biosensing technology itself and the new emerging threats they may face.
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Affiliation(s)
- Scott A. Walper
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, D.C. 20375, United States
| | - Guillermo Lasarte Aragonés
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, D.C. 20375, United States
- College of Science, George Mason University Fairfax, Virginia 22030, United States
| | - Kim E. Sapsford
- OMPT/CDRH/OIR/DMD Bacterial Respiratory and Medical Countermeasures Branch, U.S. Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Carl W. Brown
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, D.C. 20375, United States
- College of Science, George Mason University Fairfax, Virginia 22030, United States
| | - Clare E. Rowland
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, D.C. 20375, United States
- National Research Council, Washington, D.C. 20036, United States
| | - Joyce C. Breger
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, D.C. 20375, United States
| | - Igor L. Medintz
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, D.C. 20375, United States
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173
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Houldcroft CJ, Beale MA, Sayeed MA, Qadri F, Dougan G, Mutreja A. Identification of novel adenovirus genotype 90 in children from Bangladesh. Microb Genom 2018; 4. [PMID: 30248001 PMCID: PMC6249435 DOI: 10.1099/mgen.0.000221] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Novel adenovirus genotypes are associated with outbreaks of disease, such as acute gastroenteritis, renal disease, upper respiratory tract infection and keratoconjunctivitis. Here, we identify novel and variant adenovirus genotypes in children coinfected with enterotoxigenic Escherichia coli, in Bangladesh. Metagenomic sequencing of stool was performed and whole adenovirus genomes were extracted. A novel species D virus, designated genotype 90 (P33H27F67) was identified, and the partial genome of a putative recombinant species B virus was recovered. Furthermore, the enteric types HAdV-A61 and HAdV-A40 were found in stool specimens. Knowledge of the diversity of adenovirus genomes circulating worldwide, especially in low-income countries where the burden of disease is high, will be required to ensure that future vaccination strategies cover the diversity of adenovirus strains associated with disease.
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Affiliation(s)
| | - Mathew A Beale
- 2Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK
| | - Md Abu Sayeed
- 3International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Firdausi Qadri
- 3International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Gordon Dougan
- 1Department of Medicine, University of Cambridge, Cambridge, UK
| | - Ankur Mutreja
- 1Department of Medicine, University of Cambridge, Cambridge, UK
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174
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Johnson TR, Gómez BI, McIntyre MK, Dubick MA, Christy RJ, Nicholson SE, Burmeister DM. The Cutaneous Microbiome and Wounds: New Molecular Targets to Promote Wound Healing. Int J Mol Sci 2018; 19:ijms19092699. [PMID: 30208569 PMCID: PMC6164292 DOI: 10.3390/ijms19092699] [Citation(s) in RCA: 119] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 09/06/2018] [Accepted: 09/07/2018] [Indexed: 12/16/2022] Open
Abstract
The ecological community of microorganisms in/on humans, termed the microbiome, is vital for sustaining homeostasis. While culture-independent techniques have revealed the role of the gut microbiome in human health and disease, the role of the cutaneous microbiome in wound healing is less defined. Skin commensals are essential in the maintenance of the epithelial barrier function, regulation of the host immune system, and protection from invading pathogenic microorganisms. In this review, we summarize the literature derived from pre-clinical and clinical studies on how changes in the microbiome of various acute and chronic skin wounds impact wound healing tissue regeneration. Furthermore, we review the mechanistic insights garnered from model wound healing systems. Finally, in the face of growing concern about antibiotic-resistance, we will discuss alternative strategies for the treatment of infected wounds to improve wound healing and outcomes. Taken together, it has become apparent that commensals, symbionts, and pathogens on human skin have an intimate role in the inflammatory response that highlights several potential strategies to treat infected, non-healing wounds. Despite these promising results, there are some contradictory and controversial findings from existing studies and more research is needed to define the role of the human skin microbiome in acute and chronic wound healing.
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Affiliation(s)
- Taylor R Johnson
- Department of Surgery, The University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr., San Antonio, TX 78229, USA.
| | - Belinda I Gómez
- United States Army Institute of Surgical Research, 3650 Chambers Pass, JBSA Fort Sam Houston, TX 78234, USA.
| | - Matthew K McIntyre
- United States Army Institute of Surgical Research, 3650 Chambers Pass, JBSA Fort Sam Houston, TX 78234, USA.
- School of Medicine, New York Medical College, Valhalla, New York, NY 10595, USA.
| | - Michael A Dubick
- Department of Surgery, The University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr., San Antonio, TX 78229, USA.
- United States Army Institute of Surgical Research, 3650 Chambers Pass, JBSA Fort Sam Houston, TX 78234, USA.
| | - Robert J Christy
- United States Army Institute of Surgical Research, 3650 Chambers Pass, JBSA Fort Sam Houston, TX 78234, USA.
| | - Susannah E Nicholson
- Department of Surgery, The University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr., San Antonio, TX 78229, USA.
| | - David M Burmeister
- United States Army Institute of Surgical Research, 3650 Chambers Pass, JBSA Fort Sam Houston, TX 78234, USA.
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175
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Houldcroft CJ, Roy S, Morfopoulou S, Margetts BK, Depledge DP, Cudini J, Shah D, Brown JR, Romero EY, Williams R, Cloutman-Green E, Rao K, Standing JF, Hartley JC, Breuer J. Use of Whole-Genome Sequencing of Adenovirus in Immunocompromised Pediatric Patients to Identify Nosocomial Transmission and Mixed-Genotype Infection. J Infect Dis 2018; 218:1261-1271. [PMID: 29917114 DOI: 10.1093/infdis/jiy323] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 05/26/2018] [Indexed: 01/26/2023] Open
Abstract
Background Adenoviruses are significant pathogens for the immunocompromised, arising from primary infection or reinfection. Serotyping is insufficient to support nosocomial transmission investigations. We investigate whether whole-genome sequencing (WGS) provides clinically relevant information on transmission among patients in a pediatric tertiary hospital. Methods We developed a target-enriched adenovirus WGS technique for clinical samples and retrospectively sequenced 107 adenovirus-positive residual diagnostic samples, including viremias (>5 × 104 copies/mL), from 37 patients collected January 2011-March 2016. Whole-genome sequencing was used to determine genotype and for phylogenetic analysis. Results Adenovirus sequences were recovered from 105 of 107 samples. Full genome sequences were recovered from all 20 nonspecies C samples and from 36 of 85 species C viruses, with partial genome sequences recovered from the rest. Whole-genome phylogenetic analysis suggested linkage of 3 genotype A31 cases and uncovered an unsuspected epidemiological link to an A31 infection first detected on the same ward 4 years earlier. In 9 samples from 1 patient who died, we identified a mixed genotype adenovirus infection. Conclusions Adenovirus WGS from clinical samples is possible and useful for genotyping and molecular epidemiology. Whole-genome sequencing identified likely nosocomial transmission with greater resolution than conventional genotyping and distinguished between adenovirus disease due to single or multiple genotypes.
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Affiliation(s)
- Charlotte J Houldcroft
- Infection, Immunity and Inflammation Section, UCL Great Ormond Street Institute of Child Health, University College London, United Kingdom.,Division of Infection and Immunity, University College London, United Kingdom
| | - Sunando Roy
- Division of Infection and Immunity, University College London, United Kingdom
| | - Sofia Morfopoulou
- Division of Infection and Immunity, University College London, United Kingdom
| | - Ben K Margetts
- Infection, Immunity and Inflammation Section, UCL Great Ormond Street Institute of Child Health, University College London, United Kingdom.,Centre for Computation, Mathematics and Physics in the Life Sciences and Experimental Biology, University College London, United Kingdom.,Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Daniel P Depledge
- Infection, Immunity and Inflammation Section, UCL Great Ormond Street Institute of Child Health, University College London, United Kingdom
| | - Juliana Cudini
- Division of Infection and Immunity, University College London, United Kingdom
| | - Divya Shah
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Julianne R Brown
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Erika Yara Romero
- Division of Infection and Immunity, University College London, United Kingdom
| | - Rachel Williams
- Division of Infection and Immunity, University College London, United Kingdom
| | - Elaine Cloutman-Green
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Kanchan Rao
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Joseph F Standing
- Infection, Immunity and Inflammation Section, UCL Great Ormond Street Institute of Child Health, University College London, United Kingdom.,Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - John C Hartley
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Judith Breuer
- Infection, Immunity and Inflammation Section, UCL Great Ormond Street Institute of Child Health, University College London, United Kingdom.,Division of Infection and Immunity, University College London, United Kingdom.,Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
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176
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Pratas D, Hosseini M, Grilo G, Pinho AJ, Silva RM, Caetano T, Carneiro J, Pereira F. Metagenomic Composition Analysis of an Ancient Sequenced Polar Bear Jawbone from Svalbard. Genes (Basel) 2018; 9:E445. [PMID: 30200636 PMCID: PMC6162538 DOI: 10.3390/genes9090445] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 09/03/2018] [Accepted: 09/03/2018] [Indexed: 12/17/2022] Open
Abstract
The sequencing of ancient DNA samples provides a novel way to find, characterize, and distinguish exogenous genomes of endogenous targets. After sequencing, computational composition analysis enables filtering of undesired sources in the focal organism, with the purpose of improving the quality of assemblies and subsequent data analysis. More importantly, such analysis allows extinct and extant species to be identified without requiring a specific or new sequencing run. However, the identification of exogenous organisms is a complex task, given the nature and degradation of the samples, and the evident necessity of using efficient computational tools, which rely on algorithms that are both fast and highly sensitive. In this work, we relied on a fast and highly sensitive tool, FALCON-meta, which measures similarity against whole-genome reference databases, to analyse the metagenomic composition of an ancient polar bear (Ursus maritimus) jawbone fossil. The fossil was collected in Svalbard, Norway, and has an estimated age of 110,000 to 130,000 years. The FASTQ samples contained 349 GB of nonamplified shotgun sequencing data. We identified and localized, relative to the FASTQ samples, the genomes with significant similarities to reference microbial genomes, including those of viruses, bacteria, and archaea, and to fungal, mitochondrial, and plastidial sequences. Among other striking features, we found significant similarities between modern-human, some bacterial and viral sequences (contamination) and the organelle sequences of wild carrot and tomato relative to the whole samples. For each exogenous candidate, we ran a damage pattern analysis, which in addition to revealing shallow levels of damage in the plant candidates, identified the source as contamination.
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Affiliation(s)
- Diogo Pratas
- Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, 3810-193 Aveiro, Portugal.
| | - Morteza Hosseini
- Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, 3810-193 Aveiro, Portugal.
- Department of Electronics, Telecommunications and Informatics, University of Aveiro, 3810-193 Aveiro, Portugal.
| | - Gonçalo Grilo
- Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, 3810-193 Aveiro, Portugal.
- Department of Electronics, Telecommunications and Informatics, University of Aveiro, 3810-193 Aveiro, Portugal.
| | - Armando J Pinho
- Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, 3810-193 Aveiro, Portugal.
- Department of Electronics, Telecommunications and Informatics, University of Aveiro, 3810-193 Aveiro, Portugal.
| | - Raquel M Silva
- Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, 3810-193 Aveiro, Portugal.
- Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal.
- Institute for Biomedicine, University of Aveiro, 3810-193 Aveiro, Portugal.
| | - Tânia Caetano
- Department of Biology, University of Aveiro, University of Aveiro, 3810-193 Aveiro, Portugal.
- Centre for Environmental and Marine Studies, University of Aveiro, 3810-193 Aveiro, Portugal.
| | - João Carneiro
- Interdisciplinary Centre of Marine and Environmental Research, University of Porto, 4450-208 Matosinhos, Portugal.
| | - Filipe Pereira
- Interdisciplinary Centre of Marine and Environmental Research, University of Porto, 4450-208 Matosinhos, Portugal.
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177
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Takeuchi S, Kawada JI, Okuno Y, Horiba K, Suzuki T, Torii Y, Yasuda K, Numaguchi A, Kato T, Takahashi Y, Ito Y. Identification of potential pathogenic viruses in patients with acute myocarditis using next-generation sequencing. J Med Virol 2018; 90:1814-1821. [PMID: 30011073 DOI: 10.1002/jmv.25263] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 06/30/2018] [Indexed: 12/18/2022]
Abstract
Myocarditis is an inflammatory disease of the myocardium and leads to cardiac dysfunction and heart failure. Although viral infections are considered to be the most common etiology of myocarditis, the identification of the causative virus is still challenging. Recently, next-generation sequencing (NGS) has been applied in the diagnosis of infectious diseases. The aim of the current study was to comprehensively analyze potential pathogenic microorganisms using NGS in the sera of patients with myocarditis. Twelve pediatric and five adult patients hospitalized for acute myocarditis were included. Serum samples in the acute phase were obtained and analyzed using NGS to detect pathogen-derived DNA and RNA. Viral sequence reads were detected in 7 (41%) of the 17 myocarditis patients by NGS. Among these patients, detection of Epstein-Barr virus, human parvovirus B19, torque teno virus, and respiratory syncytial virus reads by NGS was consistent with polymerase chain reaction or antigen test results in one patient each. A large number of human pegivirus reads were detected from one patient by RNA sequencing; however, its pathogenicity to human is unknown. Conversely, the number of detected virus-derived reads was small in most cases, and the pathophysiological role of these viruses remains to be clarified. No significant bacterial or fungal reads other than normal bacterial flora was detected. These data indicate that comprehensive detection of virus-derived DNA and RNA using NGS can be useful for the identification of potential pathogenic viruses in myocarditis.
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Affiliation(s)
- Suguru Takeuchi
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Jun-Ichi Kawada
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yusuke Okuno
- Center for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Japan
| | - Kazuhiro Horiba
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takako Suzuki
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuka Torii
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazushi Yasuda
- Department of Pediatric Cardiology, Aichi Children's Health and Medical Center, Obu, Japan
| | - Atsushi Numaguchi
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Taichi Kato
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshiyuki Takahashi
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshinori Ito
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
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178
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The Role of aDNA in Understanding the Coevolutionary Patterns of Human Sexually Transmitted Infections. Genes (Basel) 2018; 9:genes9070317. [PMID: 29941858 PMCID: PMC6070984 DOI: 10.3390/genes9070317] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 06/18/2018] [Accepted: 06/20/2018] [Indexed: 12/18/2022] Open
Abstract
Analysis of pathogen genome data sequenced from clinical and historical samples has made it possible to perform phylogenetic analyses of sexually transmitted infections on a global scale, and to estimate the diversity, distribution, and coevolutionary host relationships of these pathogens, providing insights into pathogen emergence and disease prevention. Deep-sequenced pathogen genomes from clinical studies and ancient samples yield estimates of within-host and between-host evolutionary rates and provide data on changes in pathogen genomic stability and evolutionary responses. Here we examine three groups of pathogens transmitted mainly through sexual contact between modern humans to provide insight into ancient human behavior and history with their pathogens. Exploring ancient pathogen genomic divergence and the ancient viral-host parallel evolutionary histories will help us to reconstruct the origin of present-day geographical distribution and diversity of clinical pathogen infections, and will hopefully allow us to foresee possible environmentally induced pathogen evolutionary responses. Lastly, we emphasize that ancient pathogen DNA research should be combined with modern clinical pathogen data, and be equitable and provide advantages for all researchers worldwide, e.g., through shared data.
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179
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Goya S, Valinotto LE, Tittarelli E, Rojo GL, Nabaes Jodar MS, Greninger AL, Zaiat JJ, Marti MA, Mistchenko AS, Viegas M. An optimized methodology for whole genome sequencing of RNA respiratory viruses from nasopharyngeal aspirates. PLoS One 2018; 13:e0199714. [PMID: 29940028 PMCID: PMC6016902 DOI: 10.1371/journal.pone.0199714] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 06/12/2018] [Indexed: 11/25/2022] Open
Abstract
Over the last decade, the number of viral genome sequences deposited in available databases has grown exponentially. However, sequencing methodology vary widely and many published works have relied on viral enrichment by viral culture or nucleic acid amplification with specific primers rather than through unbiased techniques such as metagenomics. The genome of RNA viruses is highly variable and these enrichment methodologies may be difficult to achieve or may bias the results. In order to obtain genomic sequences of human respiratory syncytial virus (HRSV) from positive nasopharyngeal aspirates diverse methodologies were evaluated and compared. A total of 29 nearly complete and complete viral genomes were obtained. The best performance was achieved with a DNase I treatment to the RNA directly extracted from the nasopharyngeal aspirate (NPA), sequence-independent single-primer amplification (SISPA) and library preparation performed with Nextera XT DNA Library Prep Kit with manual normalization. An average of 633,789 and 1,674,845 filtered reads per library were obtained with MiSeq and NextSeq 500 platforms, respectively. The higher output of NextSeq 500 was accompanied by the increasing of duplicated reads percentage generated during SISPA (from an average of 1.5% duplicated viral reads in MiSeq to an average of 74% in NextSeq 500). HRSV genome recovery was not affected by the presence or absence of duplicated reads but the computational demand during the analysis was increased. Considering that only samples with viral load ≥ E+06 copies/ml NPA were tested, no correlation between sample viral loads and number of total filtered reads was observed, nor with the mapped viral reads. The HRSV genomes showed a mean coverage of 98.46% with the best methodology. In addition, genomes of human metapneumovirus (HMPV), human rhinovirus (HRV) and human parainfluenza virus types 1–3 (HPIV1-3) were also obtained with the selected optimal methodology.
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Affiliation(s)
- Stephanie Goya
- Ricardo Gutiérrez Children’s Hospital, Ciudad Autónoma Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina
| | - Laura E. Valinotto
- Ricardo Gutiérrez Children’s Hospital, Ciudad Autónoma Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina
| | - Estefania Tittarelli
- Ricardo Gutiérrez Children’s Hospital, Ciudad Autónoma Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina
| | - Gabriel L. Rojo
- Ricardo Gutiérrez Children’s Hospital, Ciudad Autónoma Buenos Aires, Argentina
| | - Mercedes S. Nabaes Jodar
- Ricardo Gutiérrez Children’s Hospital, Ciudad Autónoma Buenos Aires, Argentina
- Ministerio de Salud de la Ciudad de Buenos Aires, Buenos Aires, Argentina
| | - Alexander L. Greninger
- Department of Laboratory Medicine, University of Washington, Seattle, Washington, United States of America
| | - Jonathan J. Zaiat
- Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina
- Argentine Bioinformatic Platform (BIA), Buenos Aires, Argentina
| | - Marcelo A. Marti
- Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina
- Argentine Bioinformatic Platform (BIA), Buenos Aires, Argentina
| | - Alicia S. Mistchenko
- Ricardo Gutiérrez Children’s Hospital, Ciudad Autónoma Buenos Aires, Argentina
- Comisión de Investigaciones Científicas (CIC), Buenos Aires, Argentina
| | - Mariana Viegas
- Ricardo Gutiérrez Children’s Hospital, Ciudad Autónoma Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Tecnológicas (CONICET), Buenos Aires, Argentina
- * E-mail:
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180
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181
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Comprehensive Molecular Approach for Characterization of Hepatitis E Virus Genotype 3 Variants. J Clin Microbiol 2018. [PMID: 29514938 DOI: 10.1128/jcm.01686-17] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Autochthonous hepatitis E virus genotype 3 (HEV-3) infections in industrialized countries are more frequent than previously assumed. HEV-3 is zoonotic and the causal pathogen of chronic hepatitis E. According to the latest classification of the family Hepeviridae, 10 designated HEV-3 subtypes (HEV-3a to HEV-3j) and 7 unassigned HEV-3 subtypes are proposed. In order to identify and characterize the HEV-3 variants in circulation, we developed a molecular approach combining a sensitive HEV-specific real-time reverse transcription-PCR (RT-PCR) targeting the overlapping region of HEV ORF2 and ORF3 (the ORF2/3 region) and two newly designed consensus nested RT-PCRs targeting the HEV ORF1 and ORF2 genes, respectively. Since complete genome sequences are required for new HEV-3 subtype assignment, we implemented a straightforward approach for full-length HEV-3 genome amplification. Twenty-nine human serum samples and six human feces samples from chronic hepatitis E patients were selected for evaluation of the system. Viral loads ranged from 1 × 104 to 1.9 × 1010 copies/ml of serum and from 1.8 × 104 to 1 × 1012 copies/g of feces. Sequence and phylogenetic analyses of partial ORF1 and ORF2 sequences showed that HEV strains had considerable genetic diversity and clustered into the HEV-3c (29/35), HEV-3e (2/35), HEV-3f (2/35), and unassigned HEV-3 (2/35) subtypes. Moreover, from these strains, three full-length HEV-3 genome sequences were generated and characterized. DE/15-0030 represents a typical HEV-3c strain (95.7% nucleotide identity to wbGER27), while DE/15-0031 and SW/16-0282 have <89.2% homology to known HEV-3 strains and are phylogenetically divergent, indicating novel HEV-3 subtypes. In summary, our approach will significantly facilitate the detection, quantification, and determination of HEV-3 strains and will thus help to improve molecular diagnostics and our knowledge of HEV diversity and evolution.
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182
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Lourenço J, Tennant W, Faria NR, Walker A, Gupta S, Recker M. Challenges in dengue research: A computational perspective. Evol Appl 2018; 11:516-533. [PMID: 29636803 PMCID: PMC5891037 DOI: 10.1111/eva.12554] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 09/08/2017] [Indexed: 01/12/2023] Open
Abstract
The dengue virus is now the most widespread arbovirus affecting human populations, causing significant economic and social impact in South America and South-East Asia. Increasing urbanization and globalization, coupled with insufficient resources for control, misguided policies or lack of political will, and expansion of its mosquito vectors are some of the reasons why interventions have so far failed to curb this major public health problem. Computational approaches have elucidated on dengue's population dynamics with the aim to provide not only a better understanding of the evolution and epidemiology of the virus but also robust intervention strategies. It is clear, however, that these have been insufficient to address key aspects of dengue's biology, many of which will play a crucial role for the success of future control programmes, including vaccination. Within a multiscale perspective on this biological system, with the aim of linking evolutionary, ecological and epidemiological thinking, as well as to expand on classic modelling assumptions, we here propose, discuss and exemplify a few major computational avenues-real-time computational analysis of genetic data, phylodynamic modelling frameworks, within-host model frameworks and GPU-accelerated computing. We argue that these emerging approaches should offer valuable research opportunities over the coming years, as previously applied and demonstrated in the context of other pathogens.
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Affiliation(s)
| | - Warren Tennant
- Centre for Mathematics and the EnvironmentUniversity of ExeterPenrynUK
| | | | | | | | - Mario Recker
- Centre for Mathematics and the EnvironmentUniversity of ExeterPenrynUK
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183
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Sauvage V, Boizeau L, Candotti D, Vandenbogaert M, Servant-Delmas A, Caro V, Laperche S. Early MinION™ nanopore single-molecule sequencing technology enables the characterization of hepatitis B virus genetic complexity in clinical samples. PLoS One 2018; 13:e0194366. [PMID: 29566006 PMCID: PMC5864009 DOI: 10.1371/journal.pone.0194366] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 03/01/2018] [Indexed: 12/14/2022] Open
Abstract
Until recently, the method of choice to characterize viral diversity consisted in cloning PCR amplicons of full-length viral genomes and Sanger-sequencing of multiple clones. However, this is extremely laborious, time-consuming, and low-throughput. Next generation short-read sequencing appears also limited by its inability to directly sequence full-length viral genomes. The MinION™ device recently developed by Oxford Nanopore Technologies can be a promising alternative by applying long-read single-molecule sequencing directly to the overall amplified products generated in a PCR reaction. This new technology was evaluated by using hepatitis B virus (HBV) as a model. Several previously characterized HBV-infected clinical samples were investigated including recombinant virus, variants that harbored deletions and mixed population. Original MinION device was able to generate individual complete 3,200-nt HBV genome sequences and to identify recombinant variants. MinION was particularly efficient in detecting HBV genomes with multiple large in-frame deletions and spliced variants concomitantly with non-deleted parental genomes. However, an average-12% sequencing error rate per individual reads associated to a low throughput challenged single-nucleotide resolution, polymorphism calling and phasing mutations directly from the sequencing reads. Despite this high error rate, the pairwise identity of MinION HBV consensus genome was consistent with Sanger sequencing method. MinION being under continuous development, further studies are needed to evaluate its potential use for viral infection characterization.
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Affiliation(s)
- Virginie Sauvage
- Institut National de la Transfusion Sanguine (INTS), Département D’études des Agents Transmissibles par le Sang, Centre National de Référence Risques Infectieux Transfusionnels, Paris, France
- * E-mail:
| | - Laure Boizeau
- Institut National de la Transfusion Sanguine (INTS), Département D’études des Agents Transmissibles par le Sang, Centre National de Référence Risques Infectieux Transfusionnels, Paris, France
| | - Daniel Candotti
- Institut National de la Transfusion Sanguine (INTS), Département D’études des Agents Transmissibles par le Sang, Centre National de Référence Risques Infectieux Transfusionnels, Paris, France
| | - Mathias Vandenbogaert
- Institut Pasteur, Genotyping of Pathogens Pole, Laboratory for Urgent Response to Biological Threats, Environment and Infectious Risks, Paris, France
| | - Annabelle Servant-Delmas
- Institut National de la Transfusion Sanguine (INTS), Département D’études des Agents Transmissibles par le Sang, Centre National de Référence Risques Infectieux Transfusionnels, Paris, France
| | - Valérie Caro
- Institut Pasteur, Genotyping of Pathogens Pole, Laboratory for Urgent Response to Biological Threats, Environment and Infectious Risks, Paris, France
| | - Syria Laperche
- Institut National de la Transfusion Sanguine (INTS), Département D’études des Agents Transmissibles par le Sang, Centre National de Référence Risques Infectieux Transfusionnels, Paris, France
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184
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Inferring Fitness Effects from Time-Resolved Sequence Data with a Delay-Deterministic Model. Genetics 2018; 209:255-264. [PMID: 29500183 PMCID: PMC5937181 DOI: 10.1534/genetics.118.300790] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 02/28/2018] [Indexed: 11/30/2022] Open
Abstract
A broad range of approaches have considered the challenge of inferring selection from time-resolved genome sequence data. Models describing deterministic changes in allele or haplotype frequency have been highlighted as providing accurate and computationally... A common challenge arising from the observation of an evolutionary system over time is to infer the magnitude of selection acting upon a specific genetic variant, or variants, within the population. The inference of selection may be confounded by the effects of genetic drift in a system, leading to the development of inference procedures to account for these effects. However, recent work has suggested that deterministic models of evolution may be effective in capturing the effects of selection even under complex models of demography, suggesting the more general application of deterministic approaches to inference. Responding to this literature, we here note a case in which a deterministic model of evolution may give highly misleading inferences, resulting from the nondeterministic properties of mutation in a finite population. We propose an alternative approach that acts to correct for this error, and which we denote the delay-deterministic model. Applying our model to a simple evolutionary system, we demonstrate its performance in quantifying the extent of selection acting within that system. We further consider the application of our model to sequence data from an evolutionary experiment. We outline scenarios in which our model may produce improved results for the inference of selection, noting that such situations can be easily identified via the use of a regular deterministic model.
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185
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Abstract
The recent Ebola and Zika epidemics demonstrate the need for the continuous surveillance, rapid diagnosis and real-time tracking of emerging infectious diseases. Fast, affordable sequencing of pathogen genomes - now a staple of the public health microbiology laboratory in well-resourced settings - can affect each of these areas. Coupling genomic diagnostics and epidemiology to innovative digital disease detection platforms raises the possibility of an open, global, digital pathogen surveillance system. When informed by a One Health approach, in which human, animal and environmental health are considered together, such a genomics-based system has profound potential to improve public health in settings lacking robust laboratory capacity.
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Affiliation(s)
- Jennifer L. Gardy
- British Columbia Centre for Disease Control, Vancouver, V5Z 4R4 British Columbia Canada
- School of Population and Public Health, University of British Columbia, Vancouver, V6T 1Z3 British Columbia Canada
| | - Nicholas J. Loman
- Institute of Microbiology and Infection, University of Birmingham, Birmingham, B15 2TT UK
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186
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Impacts of Genome-Wide Analyses on Our Understanding of Human Herpesvirus Diversity and Evolution. J Virol 2017; 92:JVI.00908-17. [PMID: 29046445 PMCID: PMC5730764 DOI: 10.1128/jvi.00908-17] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Until fairly recently, genome-wide evolutionary dynamics and within-host diversity were more commonly examined in the context of small viruses than in the context of large double-stranded DNA viruses such as herpesviruses. The high mutation rates and more compact genomes of RNA viruses have inspired the investigation of population dynamics for these species, and recent data now suggest that herpesviruses might also be considered candidates for population modeling. High-throughput sequencing (HTS) and bioinformatics have expanded our understanding of herpesviruses through genome-wide comparisons of sequence diversity, recombination, allele frequency, and selective pressures. Here we discuss recent data on the mechanisms that generate herpesvirus genomic diversity and underlie the evolution of these virus families. We focus on human herpesviruses, with key insights drawn from veterinary herpesviruses and other large DNA virus families. We consider the impacts of cell culture on herpesvirus genomes and how to accurately describe the viral populations under study. The need for a strong foundation of high-quality genomes is also discussed, since it underlies all secondary genomic analyses such as RNA sequencing (RNA-Seq), chromatin immunoprecipitation, and ribosome profiling. Areas where we foresee future progress, such as the linking of viral genetic differences to phenotypic or clinical outcomes, are highlighted as well.
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187
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A Bioinformatic Pipeline for Monitoring of the Mutational Stability of Viral Drug Targets with Deep-Sequencing Technology. Viruses 2017; 9:v9120357. [PMID: 29168754 PMCID: PMC5744132 DOI: 10.3390/v9120357] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Revised: 11/16/2017] [Accepted: 11/21/2017] [Indexed: 12/24/2022] Open
Abstract
The efficient development of antiviral drugs, including efficient antiviral small interfering RNAs (siRNAs), requires continuous monitoring of the strict correspondence between a drug and the related highly variable viral DNA/RNA target(s). Deep sequencing is able to provide an assessment of both the general target conservation and the frequency of particular mutations in the different target sites. The aim of this study was to develop a reliable bioinformatic pipeline for the analysis of millions of short, deep sequencing reads corresponding to selected highly variable viral sequences that are drug target(s). The suggested bioinformatic pipeline combines the available programs and the ad hoc scripts based on an original algorithm of the search for the conserved targets in the deep sequencing data. We also present the statistical criteria for the threshold of reliable mutation detection and for the assessment of variations between corresponding data sets. These criteria are robust against the possible sequencing errors in the reads. As an example, the bioinformatic pipeline is applied to the study of the conservation of RNA interference (RNAi) targets in human immunodeficiency virus 1 (HIV-1) subtype A. The developed pipeline is freely available to download at the website http://virmut.eimb.ru/. Brief comments and comparisons between VirMut and other pipelines are also presented.
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188
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Illingworth CJR, Roy S, Beale MA, Tutill H, Williams R, Breuer J. On the effective depth of viral sequence data. Virus Evol 2017; 3:vex030. [PMID: 29250429 PMCID: PMC5724399 DOI: 10.1093/ve/vex030] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Genome sequence data are of great value in describing evolutionary processes in viral populations. However, in such studies, the extent to which data accurately describes the viral population is a matter of importance. Multiple factors may influence the accuracy of a dataset, including the quantity and nature of the sample collected, and the subsequent steps in viral processing. To investigate this phenomenon, we sequenced replica datasets spanning a range of viruses, and in which the point at which samples were split was different in each case, from a dataset in which independent samples were collected from a single patient to another in which all processing steps up to sequencing were applied to a single sample before splitting the sample and sequencing each replicate. We conclude that neither a high read depth nor a high template number in a sample guarantee the precision of a dataset. Measures of consistency calculated from within a single biological sample may also be insufficient; distortion of the composition of a population by the experimental procedure or genuine within-host diversity between samples may each affect the results. Where it is possible, data from replicate samples should be collected to validate the consistency of short-read sequence data.
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Affiliation(s)
- Christopher J R Illingworth
- Department of Genetics, University of Cambridge, Cambridge, UK.,Department of Applied Maths and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, UK
| | - Sunando Roy
- Division of Infection and Immunity, University College London, London, UK
| | | | - Helena Tutill
- Division of Infection and Immunity, University College London, London, UK
| | - Rachel Williams
- Division of Infection and Immunity, University College London, London, UK
| | - Judith Breuer
- Division of Infection and Immunity, University College London, London, UK
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189
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The current status on the taxonomy of Pseudomonas revisited: An update. INFECTION GENETICS AND EVOLUTION 2017; 57:106-116. [PMID: 29104095 DOI: 10.1016/j.meegid.2017.10.026] [Citation(s) in RCA: 131] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 10/28/2017] [Accepted: 10/30/2017] [Indexed: 12/20/2022]
Abstract
The genus Pseudomonas described in 1894 is one of the most diverse and ubiquitous bacterial genera which encompass species isolated worldwide. In the last years more than 70 new species have been described, which were isolated from different environments, including soil, water, sediments, air, animals, plants, fungi, algae, compost, human and animal related sources. Some of these species have been isolated in extreme environments, such as Antarctica or Atacama desert, and from contaminated water or soil. Also, some species recently described are plant or animal pathogens. In this review, we revised the current status of the taxonomy of genus Pseudomonas and the methodologies currently used for the description of novel species which includes, in addition to the classic ones, new methodologies such as MALDI-TOF MS, MLSA and genome analyses. The novel Pseudomonas species described in the last years are listed, together with the available genome sequences of the type strains of Pseudomonas species present in different databases.
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190
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Pettersson JHO, Shi M, Bohlin J, Eldholm V, Brynildsrud OB, Paulsen KM, Andreassen Å, Holmes EC. Characterizing the virome of Ixodes ricinus ticks from northern Europe. Sci Rep 2017; 7:10870. [PMID: 28883464 PMCID: PMC5589870 DOI: 10.1038/s41598-017-11439-y] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 08/23/2017] [Indexed: 12/20/2022] Open
Abstract
RNA viruses are abundant infectious agents and present in all domains of life. Arthropods, including ticks, are well known as vectors of many viruses of concern for human and animal health. Despite their obvious importance, the extent and structure of viral diversity in ticks is still poorly understood, particularly in Europe. Using a bulk RNA-sequencing approach that captures the complete transcriptome, we analysed the virome of the most common tick in Europe - Ixodes ricinus. In total, RNA sequencing was performed on six libraries consisting of 33 I. ricinus nymphs and adults sampled in Norway. Despite the small number of animals surveyed, our virus identification pipeline revealed nine diverse and novel viral species, phylogenetically positioned within four different viral groups - bunyaviruses, luteoviruses, mononegavirales and partitiviruses - and sometimes characterized by extensive genetic diversity including a potentially novel genus of bunyaviruses. This work sheds new light on the virus diversity in I. ricinus, expands our knowledge of potential host/vector-associations and tick-transmitted viruses within several viral groups, and pushes the latitudinal limit where it is likely to find tick-associated viruses. Notably, our phylogenetic analysis revealed the presence of tick-specific virus clades that span multiple continents, highlighting the role of ticks as important virus reservoirs.
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Affiliation(s)
- John H-O Pettersson
- Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, the University of Sydney, Sydney, New South Wales, 2006, Australia.
- Infectious Disease Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway.
- Department of Microbiology, National Veterinary Institute, Uppsala, Sweden.
- Department of Medical Biochemistry and Microbiology (IMBIM), Zoonosis Science Center, Uppsala University, Uppsala, Sweden.
| | - Mang Shi
- Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, the University of Sydney, Sydney, New South Wales, 2006, Australia
| | - Jon Bohlin
- Infectious Disease Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Vegard Eldholm
- Infectious Disease Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ola B Brynildsrud
- Infectious Disease Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Katrine Mørk Paulsen
- Infectious Disease Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
- Norwegian University of Life Sciences, Faculty of Veterinary Medicine, Department of Production Animal Clinical Sciences, Oslo, Norway
| | - Åshild Andreassen
- Infectious Disease Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Edward C Holmes
- Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, the University of Sydney, Sydney, New South Wales, 2006, Australia
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191
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Batovska J, Lynch SE, Rodoni BC, Sawbridge TI, Cogan NO. Metagenomic arbovirus detection using MinION nanopore sequencing. J Virol Methods 2017; 249:79-84. [PMID: 28855093 DOI: 10.1016/j.jviromet.2017.08.019] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 08/22/2017] [Accepted: 08/23/2017] [Indexed: 11/26/2022]
Abstract
With its small size and low cost, the hand-held MinION sequencer is a powerful tool for in-field surveillance. Using a metagenomic approach, it allows non-targeted detection of viruses in a sample within a few hours. This study aimed to determine the ability of the MinION to metagenomically detect and characterise a virus from an infected mosquito. RNA was extracted from an Aedes notoscriptus mosquito infected with Ross River virus (RRV), converted into cDNA and sequenced on the MinION. Bioinformatic analysis of the MinION reads led to detection of full-length RRV, with reads of up to 2.5kb contributing to the assembly. The cDNA was also sequenced on the MiSeq sequencer, and both platforms recovered the RRV genome with >98% accuracy. This proof of concept study demonstrates the metagenomic detection of an arbovirus, using the MinION, directly from a mosquito with minimal sample purification.
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Affiliation(s)
- Jana Batovska
- Agriculture Victoria Research, AgriBio Centre for AgriBioscience, 5 Ring Road, Bundoora, Victoria, 3083, Australia; School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, 3086, Australia.
| | - Stacey E Lynch
- Agriculture Victoria Research, AgriBio Centre for AgriBioscience, 5 Ring Road, Bundoora, Victoria, 3083, Australia.
| | - Brendan C Rodoni
- Agriculture Victoria Research, AgriBio Centre for AgriBioscience, 5 Ring Road, Bundoora, Victoria, 3083, Australia; School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, 3086, Australia.
| | - Tim I Sawbridge
- Agriculture Victoria Research, AgriBio Centre for AgriBioscience, 5 Ring Road, Bundoora, Victoria, 3083, Australia; School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, 3086, Australia.
| | - Noel Oi Cogan
- Agriculture Victoria Research, AgriBio Centre for AgriBioscience, 5 Ring Road, Bundoora, Victoria, 3083, Australia; School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, 3086, Australia.
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192
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Revealing enterovirus infection in chronic human disorders: An integrated diagnostic approach. Sci Rep 2017; 7:5013. [PMID: 28694527 PMCID: PMC5504018 DOI: 10.1038/s41598-017-04993-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 05/09/2017] [Indexed: 01/10/2023] Open
Abstract
Enteroviruses (EVs) causing persisting infection are characterized by minimal replication and genetic changes. Typing of these agents may complement disease assessment and shed light on pathogenesis. Here we report an integrated approach for EV detection in human samples that is based on pre-enrichment of virus in cell culture before search for the viral genome and viral antigens. Cases of post-polio syndrome, type 1 diabetes, and chronic cardiomyopathy were investigated. As tissue-based approaches require invasive procedures, information was mainly gleaned from virus in blood. Molecular assays targeting conserved genome regions of all EV types (5'UTR, 2 C, 3Dpol) were employed. As compared to direct assays of plasma or leukocytes, the EV detection rate was significantly enhanced by co-culture of leukocytes with cell lines prior to molecular and immunologic tests. Results of RT-PCR and sequencing were confirmed by staining cell cultures with a panel of EV-specific antibodies. Sequence and phylogenetic analysis showed that EVs of the C species (polioviruses) were associated with the post-polio syndrome, while members of the B species were found in type 1 diabetes and cardiomyopathy. The procedure may be used for investigating the possible association of different EVs with a variety of chronic neurologic, endocrine, and cardiac disorders.
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193
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Hage E, Wilkie GS, Linnenweber-Held S, Dhingra A, Suárez NM, Schmidt JJ, Kay-Fedorov PC, Mischak-Weissinger E, Heim A, Schwarz A, Schulz TF, Davison AJ, Ganzenmueller T. Characterization of Human Cytomegalovirus Genome Diversity in Immunocompromised Hosts by Whole-Genome Sequencing Directly From Clinical Specimens. J Infect Dis 2017; 215:1673-1683. [PMID: 28368496 DOI: 10.1093/infdis/jix157] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2016] [Accepted: 03/22/2017] [Indexed: 01/19/2023] Open
Abstract
Background Advances in next-generation sequencing (NGS) technologies allow comprehensive studies of genetic diversity over the entire genome of human cytomegalovirus (HCMV), a significant pathogen for immunocompromised individuals. Methods Next-generation sequencing was performed on target enriched sequence libraries prepared directly from a variety of clinical specimens (blood, urine, breast milk, respiratory samples, biopsies, and vitreous humor) obtained longitudinally or from different anatomical compartments from 20 HCMV-infected patients (renal transplant recipients, stem cell transplant recipients, and congenitally infected children). Results De novo-assembled HCMV genome sequences were obtained for 57 of 68 sequenced samples. Analysis of longitudinal or compartmental HCMV diversity revealed various patterns: no major differences were detected among longitudinal, intraindividual blood samples from 9 of 15 patients and in most of the patients with compartmental samples, whereas a switch of the major HCMV population was observed in 6 individuals with sequential blood samples and upon compartmental analysis of 1 patient with HCMV retinitis. Variant analysis revealed additional aspects of minor virus population dynamics and antiviral-resistance mutations. Conclusions In immunosuppressed patients, HCMV can remain relatively stable or undergo drastic genomic changes that are suggestive of the emergence of minor resident strains or de novo infection.
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Affiliation(s)
- Elias Hage
- Institute of Virology
- German Centre for Infection Research, Hannover-Braunschweig, Germany
| | - Gavin S Wilkie
- MRC-University of Glasgow Centre for Virus Research, United Kingdom
| | | | - Akshay Dhingra
- Institute of Virology
- German Centre for Infection Research, Hannover-Braunschweig, Germany
| | - Nicolás M Suárez
- MRC-University of Glasgow Centre for Virus Research, United Kingdom
| | | | - Penelope C Kay-Fedorov
- Institute of Virology
- German Centre for Infection Research, Hannover-Braunschweig, Germany
| | - Eva Mischak-Weissinger
- Department of Haematology, Haemostasis and Oncology, Hannover Medical School
- German Centre for Infection Research, Hannover-Braunschweig, Germany
| | - Albert Heim
- Institute of Virology
- German Centre for Infection Research, Hannover-Braunschweig, Germany
| | | | - Thomas F Schulz
- Institute of Virology
- German Centre for Infection Research, Hannover-Braunschweig, Germany
| | - Andrew J Davison
- MRC-University of Glasgow Centre for Virus Research, United Kingdom
| | - Tina Ganzenmueller
- Institute of Virology
- German Centre for Infection Research, Hannover-Braunschweig, Germany
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194
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Affiliation(s)
- Philip E Pellett
- Department of Microbiology, Immunology, and Biochemistry, Wayne State University School of Medicine, Detroit, Michigan
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195
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Quick J, Grubaugh ND, Pullan ST, Claro IM, Smith AD, Gangavarapu K, Oliveira G, Robles-Sikisaka R, Rogers TF, Beutler NA, Burton DR, Lewis-Ximenez LL, de Jesus JG, Giovanetti M, Hill SC, Black A, Bedford T, Carroll MW, Nunes M, Alcantara LC, Sabino EC, Baylis SA, Faria NR, Loose M, Simpson JT, Pybus OG, Andersen KG, Loman NJ. Multiplex PCR method for MinION and Illumina sequencing of Zika and other virus genomes directly from clinical samples. Nat Protoc 2017; 12:1261-1276. [PMID: 28538739 PMCID: PMC5902022 DOI: 10.1038/nprot.2017.066] [Citation(s) in RCA: 695] [Impact Index Per Article: 99.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Genome sequencing has become a powerful tool for studying emerging infectious diseases; however, genome sequencing directly from clinical samples (i.e., without isolation and culture) remains challenging for viruses such as Zika, for which metagenomic sequencing methods may generate insufficient numbers of viral reads. Here we present a protocol for generating coding-sequence-complete genomes, comprising an online primer design tool, a novel multiplex PCR enrichment protocol, optimized library preparation methods for the portable MinION sequencer (Oxford Nanopore Technologies) and the Illumina range of instruments, and a bioinformatics pipeline for generating consensus sequences. The MinION protocol does not require an Internet connection for analysis, making it suitable for field applications with limited connectivity. Our method relies on multiplex PCR for targeted enrichment of viral genomes from samples containing as few as 50 genome copies per reaction. Viral consensus sequences can be achieved in 1-2 d by starting with clinical samples and following a simple laboratory workflow. This method has been successfully used by several groups studying Zika virus evolution and is facilitating an understanding of the spread of the virus in the Americas. The protocol can be used to sequence other viral genomes using the online Primal Scheme primer designer software. It is suitable for sequencing either RNA or DNA viruses in the field during outbreaks or as an inexpensive, convenient method for use in the lab.
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Affiliation(s)
- Joshua Quick
- Institute of Microbiology and Infection, School of Biosciences, University of Birmingham, Birmingham, UK
| | | | - Steven T Pullan
- Public Health England, National Infection Service, Porton Down, Salisbury, UK
| | - Ingra M Claro
- Department of Infectious Disease and Institute of Tropical Medicine, University of Saõ Paulo, Saõ Paulo, Brazil
| | - Andrew D Smith
- Institute of Microbiology and Infection, School of Biosciences, University of Birmingham, Birmingham, UK
| | | | - Glenn Oliveira
- Scripps Translational Science Institute, La Jolla, California, USA
| | | | - Thomas F Rogers
- The Scripps Research Institute, La Jolla, California, USA
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | | | | | | | - Marta Giovanetti
- Fundação Oswaldo Cruz (FIOCRUZ), Salvador, Brazil
- University of Rome, Tor Vergata, Italy
| | - Sarah C Hill
- Department of Zoology, University of Oxford, Oxford, UK
| | - Allison Black
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Trevor Bedford
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Miles W Carroll
- Public Health England, National Infection Service, Porton Down, Salisbury, UK
- University of Southampton, South General Hospital, Southampton, UK
| | | | | | - Ester C Sabino
- Department of Infectious Disease and Institute of Tropical Medicine, University of Saõ Paulo, Saõ Paulo, Brazil
| | | | - Nuno R Faria
- Department of Zoology, University of Oxford, Oxford, UK
| | - Matthew Loose
- DeepSeq, School of Life Sciences, University of Nottingham, Nottingham, UK
| | | | | | - Kristian G Andersen
- The Scripps Research Institute, La Jolla, California, USA
- Scripps Translational Science Institute, La Jolla, California, USA
| | - Nicholas J Loman
- Institute of Microbiology and Infection, School of Biosciences, University of Birmingham, Birmingham, UK
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196
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Houldcroft CJ, Ramond JB, Rifkin RF, Underdown SJ. Migrating microbes: what pathogens can tell us about population movements and human evolution. Ann Hum Biol 2017; 44:397-407. [PMID: 28511559 DOI: 10.1080/03014460.2017.1325515] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The biology of human migration can be observed from the co-evolutionary relationship with infectious diseases. While many pathogens are brief, unpleasant visitors to human bodies, others have the ability to become life-long human passengers. The story of a pathogen's genetic code may, therefore, provide insight into the history of its human host. The evolution and distribution of disease in Africa is of particular interest, because of the deep history of human evolution in Africa, the presence of a variety of non-human primates, and tropical reservoirs of emerging infectious diseases. METHODS This study explores which pathogens leave traces in the archaeological record, and whether there are realistic prospects that these pathogens can be recovered from sub-Saharan African archaeological contexts. RESULTS Three stories are then presented of germs on a journey. The first is the story of HIV's spread on the back of colonialism and the railway networks over the last 150 years. The second involves the spread of Schistosoma mansoni, a parasite which shares its history with the trans-Atlantic slave trade and the origins of fresh-water fishing. Finally, we discuss the tantalising hints of hominin migration and interaction found in the genome of human herpes simplex virus 2. CONCLUSIONS Evidence from modern African pathogen genomes can provide data on human behaviour and migration in deep time and contribute to the improvement of human quality-of-life and longevity.
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Affiliation(s)
- Charlotte J Houldcroft
- a Department of Archaeology and Anthropology, Division of Biological Anthropology , University of Cambridge , Cambridge , UK.,b McDonald Institute of Archaeological Research, University of Cambridge , Cambridge , UK
| | - Jean-Baptiste Ramond
- c Department of Genetics , Centre for Microbial Ecology and Genomics, Genomic Research Institute, University of Pretoria , Hatfield , South Africa
| | - Riaan F Rifkin
- c Department of Genetics , Centre for Microbial Ecology and Genomics, Genomic Research Institute, University of Pretoria , Hatfield , South Africa
| | - Simon J Underdown
- d Department of Anthropology & Geography, Human Origins and Palaeoenvironmental Research Group (HOPE) , Oxford Brookes University , Oxford , UK.,e Leverhulme Centre for Human Evolutionary Studies , Henry Wellcome Building , Cambridge , UK
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197
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Lin J, Kramna L, Autio R, Hyöty H, Nykter M, Cinek O. Vipie: web pipeline for parallel characterization of viral populations from multiple NGS samples. BMC Genomics 2017; 18:378. [PMID: 28506246 PMCID: PMC5430618 DOI: 10.1186/s12864-017-3721-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2017] [Accepted: 04/25/2017] [Indexed: 02/06/2023] Open
Abstract
Background Next generation sequencing (NGS) technology allows laboratories to investigate virome composition in clinical and environmental samples in a culture-independent way. There is a need for bioinformatic tools capable of parallel processing of virome sequencing data by exactly identical methods: this is especially important in studies of multifactorial diseases, or in parallel comparison of laboratory protocols. Results We have developed a web-based application allowing direct upload of sequences from multiple virome samples using custom parameters. The samples are then processed in parallel using an identical protocol, and can be easily reanalyzed. The pipeline performs de-novo assembly, taxonomic classification of viruses as well as sample analyses based on user-defined grouping categories. Tables of virus abundance are produced from cross-validation by remapping the sequencing reads to a union of all observed reference viruses. In addition, read sets and reports are created after processing unmapped reads against known human and bacterial ribosome references. Secured interactive results are dynamically plotted with population and diversity charts, clustered heatmaps and a sortable and searchable abundance table. Conclusions The Vipie web application is a unique tool for multi-sample metagenomic analysis of viral data, producing searchable hits tables, interactive population maps, alpha diversity measures and clustered heatmaps that are grouped in applicable custom sample categories. Known references such as human genome and bacterial ribosomal genes are optionally removed from unmapped (‘dark matter’) reads. Secured results are accessible and shareable on modern browsers. Vipie is a freely available web-based tool whose code is open source. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3721-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jake Lin
- BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, PB 100, FI-33014, Tampere, Finland
| | - Lenka Kramna
- Department of Pediatrics, 2nd Faculty of Medicine, Charles University and University Hospital Motol, V Úvalu 84, 150 06, Praha 5, Czech Republic
| | - Reija Autio
- School of Social Sciences, University of Tampere, Kalevantie 4, 33100, Tampere, Finland
| | - Heikki Hyöty
- BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, PB 100, FI-33014, Tampere, Finland. .,Fimlab Laboratories, Pirkanmaa Hospital District, Tampere, Finland.
| | - Matti Nykter
- BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, PB 100, FI-33014, Tampere, Finland.
| | - Ondrej Cinek
- Department of Pediatrics, 2nd Faculty of Medicine, Charles University and University Hospital Motol, V Úvalu 84, 150 06, Praha 5, Czech Republic.
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Kothari A, Burgess MJ, Crescencio JCR, Kennedy JL, Denson JL, Schwalm KC, Stoner AN, Kincaid JC, Davies FE, Dinwiddie DL. The role of next generation sequencing in infection prevention in human parainfluenza virus 3 infections in immunocompromised patients. J Clin Virol 2017; 92:53-55. [PMID: 28531552 DOI: 10.1016/j.jcv.2017.05.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Revised: 05/03/2017] [Accepted: 05/10/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND Respiratory viral infections are a significant problem in patients with hematologic malignancies. We report a cluster of HPIV 3 infections in our myeloma patients, and describe the utility of next generation sequencing (NGS) to identify transmission linkages which can assist in infection prevention. OBJECTIVES To evaluate the utility of NGS to track respiratory viral infection outbreaks and delineate between community acquired and nosocomial infections in our cancer units. STUDY DESIGN Retrospective chart review conducted at a single site. All patients diagnosed with multiple myeloma who developed symptoms suggestive of upper respiratory tract infection (URTI) or lower respiratory tract infection (LRTI) along with a respiratory viral panel (RVP) test positive for HPIV 3 between April 1, 2016, to June 30, 2016, were included. Sequencing was performed on the Illumina MiSeq™. To gain understanding regarding community strains of HPIV 3 during the same season, we also performed NGS on HPIV3 strains isolated from pediatric cases. RESULTS We saw a cluster of 13 cases of HPIV3 infections in the myeloma unit. Using standard epidemiologic criteria, 3 cases were considered community acquired, 7 cases developed infection during treatment in the cancer infusion center, while an additional 3 developed infections during hospital stay. Seven patients required hospitalization for a median duration of 20days. NGS enabled sensitive discrimination of the relatedness of the isolates obtained during the outbreak and provided evidence for source of transmission. Two hospital onset infections could be tracked to an index case; the genome sequences of HPIV 3 strains from these 3 patients only differed by a single nucleotide. CONCLUSIONS NGS offers a significantly higher discriminatory value as an epidemiologic tool, and can be used to gather real-time information and identification of transmission linkages to assist in infection prevention in immunocompromised patients.
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Affiliation(s)
- Atul Kothari
- Division of Infectious Diseases, Department of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
| | - Mary J Burgess
- Division of Infectious Diseases, Department of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Juan Carlos Rico Crescencio
- Division of Infectious Diseases, Department of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Joshua L Kennedy
- Division of Allergy and Immunology, Department of Medicine and Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Jesse L Denson
- Department of Pharmaceutical Sciences, University of New Mexico College of Pharmacy, Albuquerque, NM, USA
| | - Kurt C Schwalm
- Department of Pediatrics, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Ashley N Stoner
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Faith E Davies
- Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Darrell L Dinwiddie
- Clinical Translational Sciences Center, Department of Pediatrics, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
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