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Adisasmito W, Budayanti SN, Aisyah DN, Gallo Cassarino T, Rudge JW, Watson SJ, Kozlakidis Z, Smith GJD, Coker R. Phylogenetic characterisation of circulating, clinical influenza isolates from Bali, Indonesia: preliminary report from the BaliMEI project. BMC Infect Dis 2017; 17:583. [PMID: 28830452 PMCID: PMC5568394 DOI: 10.1186/s12879-017-2684-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 08/15/2017] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Human influenza represents a major public health concern, especially in south-east Asia where the risk of emergence and spread of novel influenza viruses is particularly high. The BaliMEI study aims to conduct a five year active surveillance and characterisation of influenza viruses in Bali using an extensive network of participating healthcare facilities. METHODS Samples were collected during routine diagnostic treatment in healthcare facilities. In addition to standard clinical and molecular methods for influenza typing, next generation sequencing and subsequent de novo genome assembly were performed to investigate the phylogeny of the collected patient samples. RESULTS The samples collected are characteristic of the seasonally circulating influenza viruses with indications of phylogenetic links to other samples characterised in neighbouring countries during the same time period. CONCLUSIONS There were some strong phylogenetic links with sequences from samples collected in geographically proximal regions, with some of the samples from the same time-period resulting to small clusters at the tree-end points. However this work, which is the first of its kind completely performed within Indonesia, supports the view that the circulating seasonal influenza in Bali reflects the strains circulating in geographically neighbouring areas as would be expected to occur within a busy regional transit centre.
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Affiliation(s)
| | | | - D. N. Aisyah
- Universitas Indonesia, Depok, Indonesia
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - T. Gallo Cassarino
- Division of Infection and Immunity, University College London, 222 Euston Road, London, NW1 2DA UK
| | - J. W. Rudge
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Z. Kozlakidis
- Division of Infection and Immunity, University College London, 222 Euston Road, London, NW1 2DA UK
| | - G. J. D. Smith
- Duke Global Health Institue, Duke University, Durham, NC USA
| | - R. Coker
- London School of Hygiene and Tropical Medicine, London, UK
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Ali R, Blackburn RM, Kozlakidis Z. Next-Generation Sequencing and Influenza Virus: A Short Review of the Published Implementation Attempts. HAYATI JOURNAL OF BIOSCIENCES 2016. [DOI: 10.1016/j.hjb.2016.12.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022] Open
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Diaz A, Enomoto S, Romagosa A, Sreevatsan S, Nelson M, Culhane M, Torremorell M. Genome plasticity of triple-reassortant H1N1 influenza A virus during infection of vaccinated pigs. J Gen Virol 2015; 96:2982-2993. [PMID: 26251306 PMCID: PMC4857448 DOI: 10.1099/jgv.0.000258] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2015] [Accepted: 08/04/2015] [Indexed: 12/18/2022] Open
Abstract
To gain insight into the evolution of influenza A viruses (IAVs) during infection of vaccinated pigs, we experimentally infected a 3-week-old naive pig with a triple-reassortant H1N1 IAV and placed the seeder pig in direct contact with a group of age-matched vaccinated pigs (n = 10). We indexed the genetic diversity and evolution of the virus at an intra-host level by deep sequencing the entire genome directly from nasal swabs collected at two separate samplings during infection. We obtained 13 IAV metagenomes from 13 samples, which included the virus inoculum and two samples from each of the six pigs that tested positive for IAV during the study. The infection produced a population of heterogeneous alleles (sequence variants) that was dynamic over time. Overall, 794 polymorphisms were identified amongst all samples, which yielded 327 alleles, 214 of which were unique sequences. A total of 43 distinct haemagglutinin proteins were translated, two of which were observed in multiple pigs, whereas the neuraminidase (NA) was conserved and only one dominant NA was found throughout the study. The genetic diversity of IAVs changed dynamically within and between pigs. However, most of the substitutions observed in the internal gene segments were synonymous. Our results demonstrated remarkable IAV diversity, and the complex, rapid and dynamic evolution of IAV during infection of vaccinated pigs that can only be appreciated with repeated sampling of individual animals and deep sequence analysis.
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Affiliation(s)
- Andres Diaz
- College of Veterinary Medicine, University of Minnesota Saint Paul, Minnesota, USA
| | | | - Anna Romagosa
- College of Veterinary Medicine, University of Minnesota Saint Paul, Minnesota, USA
| | - Srinand Sreevatsan
- College of Veterinary Medicine, University of Minnesota Saint Paul, Minnesota, USA
| | - Martha Nelson
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Marie Culhane
- College of Veterinary Medicine, University of Minnesota Saint Paul, Minnesota, USA
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Majid L, Zagorodnyaya T, Plant EP, Petrovskaya S, Bidzhieva B, Ye Z, Simonyan V, Chumakov K. Deep Sequencing for Evaluation of Genetic Stability of Influenza A/California/07/2009 (H1N1) Vaccine Viruses. PLoS One 2015; 10:e0138650. [PMID: 26407068 PMCID: PMC4583247 DOI: 10.1371/journal.pone.0138650] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2015] [Accepted: 09/02/2015] [Indexed: 11/19/2022] Open
Abstract
Virus growth during influenza vaccine manufacture can lead to mutations that alter antigenic properties of the virus, and thus may affect protective potency of the vaccine. Different reassortants of pandemic "swine" H1N1 influenza A vaccine (121XP, X-179A and X-181) viruses as well as wild type A/California/07/2009(H1N1) and A/PR/8/34 strains were propagated in embryonated eggs and used for DNA/RNA Illumina HiSeq and MiSeq sequencing. The RNA sequences of these viruses published in NCBI were used as references for alignment of the sequencing reads generated in this study. Consensus sequences of these viruses differed from the NCBI-deposited sequences at several nucleotides. 121XP stock derived by reverse genetics was more heterogeneous than X-179A and X-181 stocks prepared by conventional reassortant technology. Passaged 121XP virus contained four non-synonymous mutations in the HA gene. One of these mutations (Lys226Glu) was located in the Ca antigenic site of HA (present in 18% of the population). Two non-synonymous mutations were present in HA of viruses derived from X-179A: Pro314Gln (18%) and Asn146Asp (78%). The latter mutation located in the Sa antigenic site was also detected at a low level (11%) in the wild-type A/California/07/2009(H1N1) virus, and was present as a complete substitution in X-181 viruses derived from X-179A virus. In the passaged X-181 viruses, two mutations emerged in HA: a silent mutation A1398G (31%) in one batch and G756T (Glu252Asp, 47%) in another batch. The latter mutation was located in the conservative region of the antigenic site Ca. The protocol for RNA sequencing was found to be robust, reproducible, and suitable for monitoring genetic consistency of influenza vaccine seed stocks.
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Affiliation(s)
- Laassri Majid
- Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, United States of America
- * E-mail:
| | - Tatiana Zagorodnyaya
- Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, United States of America
| | - Ewan P. Plant
- Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, United States of America
| | - Svetlana Petrovskaya
- Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, United States of America
| | - Bella Bidzhieva
- Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, United States of America
| | - Zhiping Ye
- Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, United States of America
| | - Vahan Simonyan
- Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, United States of America
| | - Konstantin Chumakov
- Center for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, United States of America
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Li L, Deng X, Mee ET, Collot-Teixeira S, Anderson R, Schepelmann S, Minor PD, Delwart E. Comparing viral metagenomics methods using a highly multiplexed human viral pathogens reagent. J Virol Methods 2014; 213:139-46. [PMID: 25497414 PMCID: PMC4344864 DOI: 10.1016/j.jviromet.2014.12.002] [Citation(s) in RCA: 111] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Revised: 11/26/2014] [Accepted: 12/03/2014] [Indexed: 10/29/2022]
Abstract
Unbiased metagenomic sequencing holds significant potential as a diagnostic tool for the simultaneous detection of any previously genetically described viral nucleic acids in clinical samples. Viral genome sequences can also inform on likely phenotypes including drug susceptibility or neutralization serotypes. In this study, different variables of the laboratory methods often used to generate viral metagenomics libraries were compared for their abilities to detect multiple viruses and generate full genome coverage. A biological reagent consisting of 25 different human RNA and DNA viral pathogens was used to estimate the effect of filtration and nuclease digestion, DNA/RNA extraction methods, pre-amplification and the use of different library preparation kits on the detection of viral nucleic acids. Filtration and nuclease treatment led to slight decreases in the percentage of viral sequence reads and number of viruses detected. For nucleic acid extractions silica spin columns improved viral sequence recovery relative to magnetic beads and Trizol extraction. Pre-amplification using random RT-PCR while generating more viral sequence reads resulted in detection of fewer viruses, more overlapping sequences, and lower genome coverage. The ScriptSeq library preparation method retrieved more viruses and a greater fraction of their genomes than the TruSeq and Nextera methods. Viral metagenomics sequencing was able to simultaneously detect up to 22 different viruses in the biological reagent analyzed including all those detected by qPCR. Further optimization will be required for the detection of viruses in biologically more complex samples such as tissues, blood, or feces.
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Affiliation(s)
- Linlin Li
- Blood Systems Research Institute, San Francisco, CA, USA; Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Xutao Deng
- Blood Systems Research Institute, San Francisco, CA, USA; Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Edward T Mee
- Division of Virology, National Institute for Biological Reagents and Control, Medicines and Healthcare Products Regulatory Agency, Hertfordshire, UK
| | - Sophie Collot-Teixeira
- Division of Virology, National Institute for Biological Reagents and Control, Medicines and Healthcare Products Regulatory Agency, Hertfordshire, UK
| | - Rob Anderson
- Division of Virology, National Institute for Biological Reagents and Control, Medicines and Healthcare Products Regulatory Agency, Hertfordshire, UK
| | - Silke Schepelmann
- Division of Virology, National Institute for Biological Reagents and Control, Medicines and Healthcare Products Regulatory Agency, Hertfordshire, UK
| | - Philip D Minor
- Division of Virology, National Institute for Biological Reagents and Control, Medicines and Healthcare Products Regulatory Agency, Hertfordshire, UK
| | - Eric Delwart
- Blood Systems Research Institute, San Francisco, CA, USA; Department of Laboratory Medicine, University of California, San Francisco, CA, USA.
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Quiñones-Mateu ME, Avila S, Reyes-Teran G, Martinez MA. Deep sequencing: becoming a critical tool in clinical virology. J Clin Virol 2014; 61:9-19. [PMID: 24998424 DOI: 10.1016/j.jcv.2014.06.013] [Citation(s) in RCA: 90] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2014] [Revised: 06/12/2014] [Accepted: 06/14/2014] [Indexed: 02/07/2023]
Abstract
Population (Sanger) sequencing has been the standard method in basic and clinical DNA sequencing for almost 40 years; however, next-generation (deep) sequencing methodologies are now revolutionizing the field of genomics, and clinical virology is no exception. Deep sequencing is highly efficient, producing an enormous amount of information at low cost in a relatively short period of time. High-throughput sequencing techniques have enabled significant contributions to multiples areas in virology, including virus discovery and metagenomics (viromes), molecular epidemiology, pathogenesis, and studies of how viruses to escape the host immune system and antiviral pressures. In addition, new and more affordable deep sequencing-based assays are now being implemented in clinical laboratories. Here, we review the use of the current deep sequencing platforms in virology, focusing on three of the most studied viruses: human immunodeficiency virus (HIV), hepatitis C virus (HCV), and influenza virus.
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Affiliation(s)
- Miguel E Quiñones-Mateu
- University Hospital Translational Laboratory, University Hospitals Case Medical Center, Cleveland, OH, USA; Department of Pathology, Case Western Reserve University, Cleveland, OH, USA
| | - Santiago Avila
- Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico; Centro de Investigaciones en Enfermedades Infecciosas, Mexico City, Mexico
| | - Gustavo Reyes-Teran
- Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico; Centro de Investigaciones en Enfermedades Infecciosas, Mexico City, Mexico
| | - Miguel A Martinez
- Fundació irsicaixa, Universitat Autònoma de Barcelona, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
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