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Cane J, Sanderson N, Barnett S, Vaughan A, Pott M, Kapel N, Morgan M, Jesuthasan G, Samuel R, Ehsaan M, Boothe H, Haduli E, Studley R, Rourke E, Diamond I, Fowler T, Watson C, Stoesser N, Walker AS, Street T, Eyre DW. Nanopore sequencing of influenza A and B in Oxfordshire and the United Kingdom, 2022-23. J Infect 2024; 88:106164. [PMID: 38692359 PMCID: PMC11101610 DOI: 10.1016/j.jinf.2024.106164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 05/03/2024]
Abstract
OBJECTIVES We evaluated Nanopore sequencing for influenza surveillance. METHODS Influenza A and B PCR-positive samples from hospital patients in Oxfordshire, UK, and a UK-wide population survey from winter 2022-23 underwent Nanopore sequencing following targeted rt-PCR amplification. RESULTS From 941 infections, successful sequencing was achieved in 292/388 (75 %) available Oxfordshire samples: 231 (79 %) A/H3N2, 53 (18 %) A/H1N1, and 8 (3 %) B/Victoria and in 53/113 (47 %) UK-wide samples. Sequencing was more successful at lower Ct values. Most same-sample replicate sequences had identical haemagglutinin segments (124/141, 88 %); 36/39 (92 %) Illumina vs. Nanopore comparisons were identical, and 3 (8 %) differed by 1 variant. Comparison of Oxfordshire and UK-wide sequences showed frequent inter-regional transmission. Infections were closely-related to 2022-23 vaccine strains. Only one sample had a neuraminidase inhibitor resistance mutation. 849/941 (90 %) Oxfordshire infections were community-acquired. 63/88 (72 %) potentially healthcare-associated cases shared a hospital ward with ≥ 1 known infectious case. 33 epidemiologically-plausible transmission links had sequencing data for both source and recipient: 8 were within ≤ 5 SNPs, of these, 5 (63 %) involved potential sources that were also hospital-acquired. CONCLUSIONS Nanopore influenza sequencing was reproducible and antiviral resistance rare. Inter-regional transmission was common; most infections were genomically similar. Hospital-acquired infections are likely an important source of nosocomial transmission and should be prioritised for infection prevention and control.
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Affiliation(s)
- Jennifer Cane
- NDM Experimental Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom; Oxford NIHR BRC, John Radcliffe Hospital, Headington, Oxford, United Kingdom
| | - Nicholas Sanderson
- NDM Experimental Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom; Oxford NIHR BRC, John Radcliffe Hospital, Headington, Oxford, United Kingdom
| | - Sophie Barnett
- NDM Experimental Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom; Oxford NIHR BRC, John Radcliffe Hospital, Headington, Oxford, United Kingdom
| | - Ali Vaughan
- NDM Experimental Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom; Oxford NIHR BRC, John Radcliffe Hospital, Headington, Oxford, United Kingdom
| | - Megan Pott
- NDM Experimental Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom; Oxford NIHR BRC, John Radcliffe Hospital, Headington, Oxford, United Kingdom
| | - Natalia Kapel
- NDM Experimental Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom; Oxford NIHR BRC, John Radcliffe Hospital, Headington, Oxford, United Kingdom
| | - Marcus Morgan
- Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - Gerald Jesuthasan
- Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - Reggie Samuel
- Berkshire and Surrey Pathology Services, Camberley, United Kingdom
| | - Muhammad Ehsaan
- Berkshire and Surrey Pathology Services, Camberley, United Kingdom
| | - Hugh Boothe
- Berkshire and Surrey Pathology Services, Camberley, United Kingdom
| | - Eric Haduli
- Berkshire and Surrey Pathology Services, Camberley, United Kingdom
| | - Ruth Studley
- Office for National Statistics, Newport, United Kingdom
| | - Emma Rourke
- Office for National Statistics, Newport, United Kingdom
| | - Ian Diamond
- Office for National Statistics, Newport, United Kingdom
| | - Tom Fowler
- UK Health Security Agency, United Kingdom; William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | | | - Nicole Stoesser
- NDM Experimental Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom; Oxford NIHR BRC, John Radcliffe Hospital, Headington, Oxford, United Kingdom; Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - Ann Sarah Walker
- NDM Experimental Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom; Oxford NIHR BRC, John Radcliffe Hospital, Headington, Oxford, United Kingdom
| | - Teresa Street
- NDM Experimental Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom; Oxford NIHR BRC, John Radcliffe Hospital, Headington, Oxford, United Kingdom
| | - David W Eyre
- Oxford NIHR BRC, John Radcliffe Hospital, Headington, Oxford, United Kingdom; Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom; Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
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Sun K, Fu K, Hu T, Shentu X, Yu X. Leveraging insect viruses and genetic manipulation for sustainable agricultural pest control. PEST MANAGEMENT SCIENCE 2024; 80:2515-2527. [PMID: 37948321 DOI: 10.1002/ps.7878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/16/2023] [Accepted: 11/11/2023] [Indexed: 11/12/2023]
Abstract
The potential of insect viruses in the biological control of agricultural pests is well-recognized, yet their practical application faces obstacles such as host specificity, variable virulence, and resource scarcity. High-throughput sequencing (HTS) technologies have significantly advanced our capabilities in discovering and identifying new insect viruses, thereby enriching the arsenal for pest management. Concurrently, progress in reverse genetics has facilitated the development of versatile viral expression vectors. These vectors have enhanced the specificity and effectiveness of insect viruses in targeting specific pests, offering a more precise approach to pest control. This review provides a comprehensive examination of the methodologies employed in the identification of insect viruses using HTS. Additionally, it explores the domain of genetically modified insect viruses and their associated challenges in pest management. The adoption of these cutting-edge approaches holds great promise for developing environmentally sustainable and effective pest control solutions. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Kai Sun
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Kang Fu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Tao Hu
- Zhejinag Seed Industry Group Xinchuang Bio-breeding Co., Ltd., Hangzhou, China
| | - Xuping Shentu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
| | - Xiaoping Yu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou, China
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3
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Ji CM, Feng XY, Huang YW, Chen RA. The Applications of Nanopore Sequencing Technology in Animal and Human Virus Research. Viruses 2024; 16:798. [PMID: 38793679 PMCID: PMC11125791 DOI: 10.3390/v16050798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
In recent years, an increasing number of viruses have triggered outbreaks that pose a severe threat to both human and animal life, as well as caused substantial economic losses. It is crucial to understand the genomic structure and epidemiology of these viruses to guide effective clinical prevention and treatment strategies. Nanopore sequencing, a third-generation sequencing technology, has been widely used in genomic research since 2014. This technology offers several advantages over traditional methods and next-generation sequencing (NGS), such as the ability to generate ultra-long reads, high efficiency, real-time monitoring and analysis, portability, and the ability to directly sequence RNA or DNA molecules. As a result, it exhibits excellent applicability and flexibility in virus research, including viral detection and surveillance, genome assembly, the discovery of new variants and novel viruses, and the identification of chemical modifications. In this paper, we provide a comprehensive review of the development, principles, advantages, and applications of nanopore sequencing technology in animal and human virus research, aiming to offer fresh perspectives for future studies in this field.
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Affiliation(s)
- Chun-Miao Ji
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
| | - Xiao-Yin Feng
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
| | - Yao-Wei Huang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China;
- Department of Veterinary Medicine, Zhejiang University, Hangzhou 310058, China
| | - Rui-Ai Chen
- Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing 526238, China; (C.-M.J.); (X.-Y.F.)
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China;
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4
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Mecklenburg L, Ducore R, Boyle M, Newell A, Boone L, Luft J, Romeike A, Haverkamp AK, Mansfield K, Penraat KA, Baczenas JJ, Minor N, O'Connor SL, O'Connor DH. A new genotype of hepatitis A virus causing transient liver enzyme elevations in Mauritius-origin laboratory-housed Macaca fascicularis. Vet Pathol 2024; 61:488-496. [PMID: 37953600 DOI: 10.1177/03009858231209691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Abstract
Hepatitis A virus (HAV) infects humans and nonhuman primates, typically causing an acute self-limited illness. Three HAV genotypes have been described so far for humans, and three genotypes have been described for nonhuman primates. We observed transiently elevated liver enzymes in Mauritius-origin laboratory-housed macaques in Germany and were not able to demonstrate an etiology including HAV by serology and polymerase chain reaction (PCR). HAV is a rare pathogen in cynomolgus macaques, and since all employees were routinely vaccinated against HAV, it was not a part of the routine vaccination and screening program. A deep sequencing approach identified a new HAV genotype (referred to as Simian_HAV_Macaca/Germany/Mue-1/2022) in blood samples from affected animals. This HAV was demonstrated by reverse transcription PCR in blood and liver and by in situ hybridization in liver, gall bladder, and septal ducts. A commercial vaccine was used to protect animals from liver enzyme elevation. The newly identified simian HAV genotype demonstrates 80% nucleotide sequence identity to other simian and human HAV genotypes. There was deeper divergence between Simian_HAV_Macaca/Germany/Mue-1/2022 and other previously described HAVs, including both human and simian viruses. In situ hybridization indicated persistence in the biliary epithelium up to 3 months after liver enzymes were elevated. Vaccination using a commercial vaccine against human HAV prevented reoccurrence of liver enzyme elevations. Because available assays for HAV did not detect this new HAV genotype, knowledge of its existence may ameliorate potential significant epidemiological and research implications in laboratories globally.
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Affiliation(s)
| | - Rebecca Ducore
- Labcorp Early Development Laboratories Inc., Chantilly, VA
| | - Molly Boyle
- Labcorp Early Development Laboratories Inc., Somerset, NJ
| | - Andrew Newell
- Labcorp Early Development Laboratories Ltd., Harrogate, UK
| | - Laura Boone
- Labcorp Early Development Laboratories Inc., Greenfield, IN
| | - Joerg Luft
- Labcorp Early Development Services GmbH, Muenster, Germany
| | | | | | | | | | | | - Nick Minor
- University of Wisconsin-Madison, Madison, WI
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5
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Keith M, Park de la Torriente A, Chalka A, Vallejo-Trujillo A, McAteer SP, Paterson GK, Low AS, Gally DL. Predictive phage therapy for Escherichia coli urinary tract infections: Cocktail selection for therapy based on machine learning models. Proc Natl Acad Sci U S A 2024; 121:e2313574121. [PMID: 38478693 PMCID: PMC10962980 DOI: 10.1073/pnas.2313574121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 02/04/2024] [Indexed: 03/27/2024] Open
Abstract
This study supports the development of predictive bacteriophage (phage) therapy: the concept of phage cocktail selection to treat a bacterial infection based on machine learning (ML) models. For this purpose, ML models were trained on thousands of measured interactions between a panel of phage and sequenced bacterial isolates. The concept was applied to Escherichia coli associated with urinary tract infections. This is an important common infection in humans and companion animals from which multidrug-resistant (MDR) bloodstream infections can originate. The global threat of MDR infection has reinvigorated international efforts into alternatives to antibiotics including phage therapy. E. coli exhibit extensive genome-level variation due to horizontal gene transfer via phage and plasmids. Associated with this, phage selection for E. coli is difficult as individual isolates can exhibit considerable variation in phage susceptibility due to differences in factors important to phage infection including phage receptor profiles and resistance mechanisms. The activity of 31 phage was measured on 314 isolates with growth curves in artificial urine. Random Forest models were built for each phage from bacterial genome features, and the more generalist phage, acting on over 20% of the bacterial population, exhibited F1 scores of >0.6 and could be used to predict phage cocktails effective against previously untested strains. The study demonstrates the potential of predictive ML models which integrate bacterial genomics with phage activity datasets allowing their use on data derived from direct sequencing of clinical samples to inform rapid and effective phage therapy.
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Affiliation(s)
- Marianne Keith
- The Roslin Institute, Division of Bacteriology, University of Edinburgh, EdinburghEH25 9RG, United Kingdom
| | - Alba Park de la Torriente
- The Roslin Institute, Division of Bacteriology, University of Edinburgh, EdinburghEH25 9RG, United Kingdom
| | - Antonia Chalka
- The Roslin Institute, Division of Bacteriology, University of Edinburgh, EdinburghEH25 9RG, United Kingdom
| | - Adriana Vallejo-Trujillo
- The Roslin Institute, Division of Bacteriology, University of Edinburgh, EdinburghEH25 9RG, United Kingdom
| | - Sean P. McAteer
- The Roslin Institute, Division of Bacteriology, University of Edinburgh, EdinburghEH25 9RG, United Kingdom
| | - Gavin K. Paterson
- The Roslin Institute, Division of Bacteriology, University of Edinburgh, EdinburghEH25 9RG, United Kingdom
- Royal (Dick) School of Veterinary Studies, Easter Bush Pathology, University of Edinburgh, EdinburghEH25 9RG, United Kingdom
| | - Alison S. Low
- The Roslin Institute, Division of Bacteriology, University of Edinburgh, EdinburghEH25 9RG, United Kingdom
| | - David L. Gally
- The Roslin Institute, Division of Bacteriology, University of Edinburgh, EdinburghEH25 9RG, United Kingdom
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6
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Downie DL, Rao P, David-Ferdon C, Courtney S, Lee JS, Quiner C, MacDonald PDM, Barnes K, Fisher S, Andreadis JL, Chaitram J, Mauldin MR, Salerno RM, Schiffer J, Gundlapalli AV. Surveillance for Emerging and Reemerging Pathogens Using Pathogen Agnostic Metagenomic Sequencing in the United States: A Critical Role for Federal Government Agencies. Health Secur 2024; 22:85-92. [PMID: 38574329 PMCID: PMC11044857 DOI: 10.1089/hs.2023.0099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/04/2023] [Accepted: 08/04/2023] [Indexed: 04/06/2024] Open
Abstract
The surveillance and identification of emerging, reemerging, and unknown infectious disease pathogens is essential to national public health preparedness and relies on fluidity, coordination, and interconnectivity between public and private pathogen surveillance systems and networks. Developing a national sentinel surveillance network with existing resources and infrastructure could increase efficiency, accelerate the identification of emerging public health threats, and support coordinated intervention strategies that reduce morbidity and mortality. However, implementing and sustaining programs to detect emerging and reemerging pathogens in humans using advanced molecular methods, such as metagenomic sequencing, requires making large investments in testing equipment and developing networks of clinicians, laboratory scientists, and bioinformaticians. In this study, we sought to gain an understanding of how federal government agencies currently support such pathogen agnostic testing of human specimens in the United States. We conducted a landscape analysis of federal agency websites for publicly accessible information on the availability and type of pathogen agnostic testing and details on flow of clinical specimens and data. The website analysis was supplemented by an expert review of results with representatives from the federal agencies. Operating divisions within the US Department of Health and Human Services and the US Department of Veterans Affairs have developed and sustained extensive clinical and research networks to obtain patient specimens and perform metagenomic sequencing. Metagenomic facilities supported by US agencies were not equally geographically distributed across the United States. Although many entities have work dedicated to metagenomics and/or support emerging infectious disease surveillance specimen collection, there was minimal formal collaboration across agencies.
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Affiliation(s)
- Diane L. Downie
- Diane L. Downie, PhD, MPH, is Deputy Associate Director for Science, Office of Readiness and Response, US Centers for Disease Control and Prevention, Atlanta, GA
| | - Preetika Rao
- Preetika Rao, MPH, is a Health Scientist, US Centers for Disease Control and Prevention, Atlanta, GA
| | - Corinne David-Ferdon
- Corinne David-Ferdon, PhD, is Associate Director of Science, Office of Public Health Data, Surveillance, and Technology, US Centers for Disease Control and Prevention, Atlanta, GA
| | - Sean Courtney
- Sean Courtney, PhD, is a Health Scientist, US Centers for Disease Control and Prevention, Atlanta, GA
| | - Justin S. Lee
- Justin S. Lee, DVM, PhD, is a Health Scientist, Division of Global Health Protection, US Centers for Disease Control and Prevention, Atlanta, GA
| | - Claire Quiner
- Claire Quiner, MPH, MCP, is a Research Public Health Analyst, Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
| | - Pia D. M. MacDonald
- Pia D. M. MacDonald, PhD, MPH, is a Senior Infectious Disease Epidemiologist, Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
| | - Keegan Barnes
- Keegan Barnes is a Public Health Analyst, Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
| | - Shelby Fisher
- Shelby Fisher, MPH, is an Epidemiologist, Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
| | - Joanne L. Andreadis
- Joanne L. Andreadis, PhD, is Associate Director for Science, US Centers for Disease Control and Prevention, Atlanta, GA
| | - Jasmine Chaitram
- Jasmine Chaitram, MPH, is Branch Chief, US Centers for Disease Control and Prevention, Atlanta, GA
| | - Matthew R. Mauldin
- Matthew R. Mauldin, PhD, is Health Scientists US Centers for Disease Control and Prevention, Atlanta, GA
| | - Reynolds M. Salerno
- Reynolds M. Salerno, PhD, is Director, Division of Laboratory Systems, US Centers for Disease Control and Prevention, Atlanta, GA
| | - Jarad Schiffer
- Jarad Schiffer, MS, is Health Scientists, Office of Readiness and Response, US Centers for Disease Control and Prevention, Atlanta, GA
| | - Adi V. Gundlapalli
- Adi V. Gundlapalli, MD, PhD, is a Senior Advisor, Data Readiness and Response, Office of Public Health Data, Surveillance, and Technology, US Centers for Disease Control and Prevention, Atlanta, GA
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7
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D'Addiego J, Wand N, Afrough B, Fletcher T, Kurosaki Y, Leblebicioglu H, Hewson R. Recovery of complete genome sequences of Crimean-Congo haemorrhagic fever virus (CCHFV) directly from clinical samples: A comparative study between targeted enrichment and metagenomic approaches. J Virol Methods 2024; 323:114833. [PMID: 37879367 DOI: 10.1016/j.jviromet.2023.114833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/06/2023] [Accepted: 10/20/2023] [Indexed: 10/27/2023]
Abstract
Crimean-Congo haemorrhagic fever (CCHF) is the most prevalent human tick-borne viral disease, endemic to the Balkans, Africa, Middle East and Asia. There are currently no licensed vaccines or effective antivirals against CCHF. CCHF virus (CCHFV) has a negative sense segmented tripartite RNA genome consisting of the small (S), medium (M) and large (L) segments. Depending on the segment utilised for genetic affiliation, there are up to 7 circulating lineages of CCHFV. The current lack of geographical representation of CCHFV sequences in various repositories highlights a requirement for increased CCHFV sequencing capabilities in endemic regions. We have optimised and established a multiplex PCR tiling methodology for the targeted enrichment of complete genomes of Europe 1 CCHFV lineage directly from clinical samples and compared its performance to a non-targeted enrichment approach on both short-read and long-read sequencing platforms. We have found a statistically significant increase in mapped viral sequencing reads produced with our targeted enrichment approach. This has allowed us to recover near complete S segment sequences and above 90% of the M and L segment sequences for samples with Ct values as high as 31.3. This study demonstrates the superiority of a targeted enrichment approach for recovery of CCHFV genomic sequences from samples with low virus titre. CCHFV is an important vector-borne human pathogen with wide geographical distribution. The validated methodology reported here adds value to front-line public health laboratories employing genomic sequencing for CCHFV Europe 1 lineage surveillance, particularly in the Balkan and Middle Eastern territories currently monitoring the spread of the pathogen. Tracking the genomic evolution of the virus across regions improves risk assessment and directly informs the development of diagnostics, therapeutics, and vaccines.
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Affiliation(s)
- Jake D'Addiego
- UK Health Security Agency, Science Group, Porton Down, Salisbury, United Kingdom; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
| | - Nadina Wand
- UK Health Security Agency, Science Group, Porton Down, Salisbury, United Kingdom
| | - Babak Afrough
- UK Health Security Agency, Science Group, Porton Down, Salisbury, United Kingdom
| | - Tom Fletcher
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Yohei Kurosaki
- National Research Centre for the Control and Prevention of Infectious Diseases, Nagasaki University, Japan
| | | | - Roger Hewson
- UK Health Security Agency, Science Group, Porton Down, Salisbury, United Kingdom; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom; Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom; National Research Centre for the Control and Prevention of Infectious Diseases, Nagasaki University, Japan
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8
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Han X, Xia Z. Application of Host-Depleted Nanopore Metagenomic Sequencing in the Clinical Detection of Pathogens in Pigs and Cats. Animals (Basel) 2023; 13:3838. [PMID: 38136875 PMCID: PMC10741237 DOI: 10.3390/ani13243838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 11/20/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
Metagenomic sequencing is a valuable tool for non-specifically detecting various microorganisms in samples, offering unique advantages for detecting emerging pathogens, fastidious or uncultivable pathogens, and mixed infections. It has recently been applied to clinically detect pathogenic microorganisms in animals; however, the high proportion of host genes, expensive sequencing equipment, and the complexity of sequencing and data analysis methods have limited its clinical utility. In this study, a combination of tissue homogenization and nuclease digestion was employed to remove host genes from pig and cat samples; DNA and RNA were then extracted and subjected to nonselective PCR amplification to simultaneously detect DNA and RNA pathogen genomes using R9.4.1 or R10.4.1 flow cells on the MinION platform. Real-time pathogen detection was conducted using EPI2M WIMP, and viral genome assembly was performed using NanoFilt, minimap2, samtools, and ivar. Pathogens in five clinical samples (serum, nasopharyngeal swab, feces, or ascites) from cats and four clinical samples (lung or small intestine tissue) from pigs were examined by metagenomic sequencing, and the results were consistent with those obtained by PCR and bacterial culture. Additionally, we detected four viruses and three bacteria that may be associated with diseases. A comparison of results before and after host gene removal in three samples showed a 9-50% reduction in host genes. We also compared the assembly efficiency of six virus genomes and found that data volumes ranging from 3.3 to 98.3 MB were sufficient to assemble >90% of the viral genomes. In summary, this study utilized optimized nanopore metagenomic sequencing and analysis methods to reduce host genes, decrease the required data volume for sequencing analysis, and enable real-time detection to determine when to stop sequencing. The streamlined sequencing and analysis process overcomes barriers to the veterinary clinical application of metagenomic sequencing and provides a reference for clinical implementation.
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Affiliation(s)
| | - Zhaofei Xia
- College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
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9
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Afonso CL, Afonso AM. Next-Generation Sequencing for the Detection of Microbial Agents in Avian Clinical Samples. Vet Sci 2023; 10:690. [PMID: 38133241 PMCID: PMC10747646 DOI: 10.3390/vetsci10120690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/24/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023] Open
Abstract
Direct-targeted next-generation sequencing (tNGS), with its undoubtedly superior diagnostic capacity over real-time PCR (RT-PCR), and direct-non-targeted NGS (ntNGS), with its higher capacity to identify and characterize multiple agents, are both likely to become diagnostic methods of choice in the future. tNGS is a rapid and sensitive method for precise characterization of suspected agents. ntNGS, also known as agnostic diagnosis, does not require a hypothesis and has been used to identify unsuspected infections in clinical samples. Implemented in the form of multiplexed total DNA metagenomics or as total RNA sequencing, the approach produces comprehensive and actionable reports that allow semi-quantitative identification of most of the agents present in respiratory, cloacal, and tissue samples. The diagnostic benefits of the use of direct tNGS and ntNGS are high specificity, compatibility with different types of clinical samples (fresh, frozen, FTA cards, and paraffin-embedded), production of nearly complete infection profiles (viruses, bacteria, fungus, and parasites), production of "semi-quantitative" information, direct agent genotyping, and infectious agent mutational information. The achievements of NGS in terms of diagnosing poultry problems are described here, along with future applications. Multiplexing, development of standard operating procedures, robotics, sequencing kits, automated bioinformatics, cloud computing, and artificial intelligence (AI) are disciplines converging toward the use of this technology for active surveillance in poultry farms. Other advances in human and veterinary NGS sequencing are likely to be adaptable to avian species in the future.
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Graham VA, Easterbrook L, Kennedy E, Rayner E, Findlay-Wilson S, Flett L, Wise EL, Treagus S, Fotheringham S, Kempster S, Almond N, Dowall S. Pathogenesis of Rift Valley Fever Virus in a BALB/c Mouse Model Is Affected by Virus Culture Conditions and Sex of the Animals. Viruses 2023; 15:2369. [PMID: 38140610 PMCID: PMC10747589 DOI: 10.3390/v15122369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 11/27/2023] [Accepted: 11/29/2023] [Indexed: 12/24/2023] Open
Abstract
Rift Valley fever virus (RVFV) is a mosquito-borne zoonotic pathogen causing disease in livestock and humans. Whilst initially restricted to the African continent, recent spread to the Arabian Peninsula has highlighted the likelihood of entry into new regions. Due to the absence of a regulatory-approved human vaccine, work is ongoing to develop and assess countermeasures. As such, small animal models play a pivotal role in providing information on disease pathogenesis and elucidating which intervention strategies confer protection. To develop and establish the BALB/c mouse model, we challenged mice with RVFV grown from two separate cell lines: one derived from mosquitoes (C6/36) and the other mammalian derived (Vero E6). Following infection, we assessed the clinical course of disease progression at days 1 and 3 post-challenge and evaluated viral tropism and immune analytes. The results demonstrated that RVFV infection was affected by the cell line used to propagate the challenge virus, with those grown in insect cells resulting in a more rapid disease progression. The lowest dose that caused uniform severe disease remained the same across both virus preparations. In addition, to demonstrate reproducibility, the lowest dose was used for a subsequent infection study using male and female animals. The results further demonstrated that male mice succumbed to infection more rapidly than their female counterparts. Our results establish an RVFV mouse model and key parameters that affect the course of disease progression in BALB/c mice.
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Affiliation(s)
- Victoria A. Graham
- UK Health Security Agency (UKHSA), Porton Down, Salisbury SP4 0JG, UK; (V.A.G.); (L.E.); (E.K.); (E.R.); (S.F.-W.); (L.F.); (E.L.W.); (S.T.); (S.F.)
| | - Linda Easterbrook
- UK Health Security Agency (UKHSA), Porton Down, Salisbury SP4 0JG, UK; (V.A.G.); (L.E.); (E.K.); (E.R.); (S.F.-W.); (L.F.); (E.L.W.); (S.T.); (S.F.)
| | - Emma Kennedy
- UK Health Security Agency (UKHSA), Porton Down, Salisbury SP4 0JG, UK; (V.A.G.); (L.E.); (E.K.); (E.R.); (S.F.-W.); (L.F.); (E.L.W.); (S.T.); (S.F.)
| | - Emma Rayner
- UK Health Security Agency (UKHSA), Porton Down, Salisbury SP4 0JG, UK; (V.A.G.); (L.E.); (E.K.); (E.R.); (S.F.-W.); (L.F.); (E.L.W.); (S.T.); (S.F.)
| | - Stephen Findlay-Wilson
- UK Health Security Agency (UKHSA), Porton Down, Salisbury SP4 0JG, UK; (V.A.G.); (L.E.); (E.K.); (E.R.); (S.F.-W.); (L.F.); (E.L.W.); (S.T.); (S.F.)
| | - Lucy Flett
- UK Health Security Agency (UKHSA), Porton Down, Salisbury SP4 0JG, UK; (V.A.G.); (L.E.); (E.K.); (E.R.); (S.F.-W.); (L.F.); (E.L.W.); (S.T.); (S.F.)
| | - Emma Louise Wise
- UK Health Security Agency (UKHSA), Porton Down, Salisbury SP4 0JG, UK; (V.A.G.); (L.E.); (E.K.); (E.R.); (S.F.-W.); (L.F.); (E.L.W.); (S.T.); (S.F.)
| | - Samantha Treagus
- UK Health Security Agency (UKHSA), Porton Down, Salisbury SP4 0JG, UK; (V.A.G.); (L.E.); (E.K.); (E.R.); (S.F.-W.); (L.F.); (E.L.W.); (S.T.); (S.F.)
| | - Susan Fotheringham
- UK Health Security Agency (UKHSA), Porton Down, Salisbury SP4 0JG, UK; (V.A.G.); (L.E.); (E.K.); (E.R.); (S.F.-W.); (L.F.); (E.L.W.); (S.T.); (S.F.)
| | - Sarah Kempster
- Medicines and Healthcare Products Regulatory Agency (MHRA), Blanche Ln, South Mimms, Potters Bar EN6 3QG, UK; (S.K.); (N.A.)
| | - Neil Almond
- Medicines and Healthcare Products Regulatory Agency (MHRA), Blanche Ln, South Mimms, Potters Bar EN6 3QG, UK; (S.K.); (N.A.)
| | - Stuart Dowall
- UK Health Security Agency (UKHSA), Porton Down, Salisbury SP4 0JG, UK; (V.A.G.); (L.E.); (E.K.); (E.R.); (S.F.-W.); (L.F.); (E.L.W.); (S.T.); (S.F.)
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11
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Zheng P, Zhou C, Ding Y, Liu B, Lu L, Zhu F, Duan S. Nanopore sequencing technology and its applications. MedComm (Beijing) 2023; 4:e316. [PMID: 37441463 PMCID: PMC10333861 DOI: 10.1002/mco2.316] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 07/15/2023] Open
Abstract
Since the development of Sanger sequencing in 1977, sequencing technology has played a pivotal role in molecular biology research by enabling the interpretation of biological genetic codes. Today, nanopore sequencing is one of the leading third-generation sequencing technologies. With its long reads, portability, and low cost, nanopore sequencing is widely used in various scientific fields including epidemic prevention and control, disease diagnosis, and animal and plant breeding. Despite initial concerns about high error rates, continuous innovation in sequencing platforms and algorithm analysis technology has effectively addressed its accuracy. During the coronavirus disease (COVID-19) pandemic, nanopore sequencing played a critical role in detecting the severe acute respiratory syndrome coronavirus-2 virus genome and containing the pandemic. However, a lack of understanding of this technology may limit its popularization and application. Nanopore sequencing is poised to become the mainstream choice for preventing and controlling COVID-19 and future epidemics while creating value in other fields such as oncology and botany. This work introduces the contributions of nanopore sequencing during the COVID-19 pandemic to promote public understanding and its use in emerging outbreaks worldwide. We discuss its application in microbial detection, cancer genomes, and plant genomes and summarize strategies to improve its accuracy.
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Affiliation(s)
- Peijie Zheng
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Chuntao Zhou
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Yuemin Ding
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
| | - Bin Liu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Liuyi Lu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Feng Zhu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Shiwei Duan
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
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12
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Sittikul P, Batty EM, Yodsawat P, Nuanpirom J, Kosoltanapiwat N, Sangket U, Chatchen S, Day NPJ, Thaipadungpanit J. Diversity of Human Enterovirus Co-Circulations in Five Kindergartens in Bangkok between July 2019 and January 2020. Viruses 2023; 15:1397. [PMID: 37376696 DOI: 10.3390/v15061397] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 06/14/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
Human enterovirus causes various clinical manifestations in the form of rashes, febrile illness, flu-like illness, uveitis, hand-foot-mouth disease (HFMD), herpangina, meningitis, and encephalitis. Enterovirus A71 and coxsackievirus are significant causes of epidemic HFMD worldwide, especially in children aged from birth to five years old. The enterovirus genotype variants causing HFMD epidemics have been reported increasingly worldwide in the last decade. We aim to use simple and robust molecular tools to investigate human enteroviruses circulating among kindergarten students at genotype and subgenotype levels. With the partial 5'-UTR sequencing analysis as a low-resolution preliminary grouping tool, ten enterovirus A71 (EV-A71) and coxsackievirus clusters were identified among 18 symptomatic cases and 14 asymptomatic cases in five kindergartens in Bangkok, Thailand, between July 2019 and January 2020. Two occurrences of a single clone causing an infection cluster were identified (EV-A71 C1-like subgenotype and coxsackievirus A6). Random amplification-based sequencing using MinION (Oxford Nanopore Technology) helped identify viral transmission between two closely related clones. Diverse genotypes co-circulating among children in kindergartens are reservoirs for new genotype variants emerging, which might be more virulent or better at immune escape. Surveillance of highly contagious enterovirus in communities is essential for disease notifications and controls.
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Affiliation(s)
- Pichamon Sittikul
- Department of Tropical Pediatrics, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
| | - Elizabeth M Batty
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7LG, UK
| | - Prasert Yodsawat
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
- Division of Biological Science, Faculty of Science, Prince of Songkla University, Songkhla 90110, Thailand
| | - Jiratchaya Nuanpirom
- Division of Biological Science, Faculty of Science, Prince of Songkla University, Songkhla 90110, Thailand
| | - Nathamon Kosoltanapiwat
- Department of Microbiology and Immunology, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
| | - Unitsa Sangket
- Division of Biological Science, Faculty of Science, Prince of Songkla University, Songkhla 90110, Thailand
- Center for Genomics and Bioinformatics Research, Faculty of Science Prince of Songkla University, Songkhla 90110, Thailand
| | - Supawat Chatchen
- Department of Tropical Pediatrics, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
| | - Nicholas P J Day
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7LG, UK
| | - Janjira Thaipadungpanit
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
- Department of Clinical Tropical Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
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13
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Miah M, Hossain ME, Hasan R, Alam MS, Puspo JA, Hasan MM, Islam A, Chowdhury S, Rahman MZ. Culture-Independent Workflow for Nanopore MinION-Based Sequencing of Influenza A Virus. Microbiol Spectr 2023; 11:e0494622. [PMID: 37212605 PMCID: PMC10269883 DOI: 10.1128/spectrum.04946-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 05/04/2023] [Indexed: 05/23/2023] Open
Abstract
Whole-genome sequencing (WGS) of influenza A virus (IAV) is crucial for identifying diverse subtypes and newly evolved variants and for selecting vaccine strains. In developing countries, where facilities are often inadequate, WGS is challenging to perform using conventional next-generation sequencers. In this study, we established a culture-independent, high-throughput native barcode amplicon sequencing workflow that can sequence all influenza subtypes directly from a clinical specimen. All segments of IAV in 19 clinical specimens, irrespective of their subtypes, were amplified simultaneously using a two-step reverse transcriptase PCR (RT-PCR) system. First, the library was prepared using the ligation sequencing kit, barcoded individually using the native barcodes, and sequenced on the MinION MK 1C platform with real-time base-calling. Then, subsequent data analyses were performed with the appropriate tools. WGS of 19 IAV-positive clinical samples was carried out successfully with 100% coverage and 3,975-fold mean coverage for all segments. This easy-to-install and low-cost capacity-building protocol took only 24 h complete from extracting RNA to obtaining finished sequences. Overall, we developed a high-throughput portable sequencing workflow ideal for resource-limited clinical settings, aiding in real-time surveillance, outbreak investigation, and the detection of emerging viruses and genetic reassortment events. However, further evaluation is required to compare its accuracy with other high-throughput sequencing technologies to validate the widespread application of these findings, including WGS from environmental samples. IMPORTANCE The Nanopore MinION-based influenza sequencing approach we are proposing makes it possible to sequence the influenza A virus, irrespective of its diverse serotypes, directly from clinical and environmental swab samples, so that we are not limited to virus culture. This third-generation, portable, multiplexing, and real-time sequencing strategy is highly convenient for local sequencing, particularly in low- and middle-income countries like Bangladesh. Furthermore, the cost-efficient sequencing method could provide new opportunities to respond to the early phase of an influenza pandemic and enable the timely detection of the emerging subtypes in clinical samples. Here, we meticulously described the entire process that might help the researcher who will follow this methodology in the future. Our findings suggest that this proposed method is ideal for clinical and academic settings and will aid in real-time surveillance and in the detection of potential outbreak agents and newly evolved viruses.
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Affiliation(s)
- Mojnu Miah
- Infectious Diseases Division, ICDDR,B, Dhaka, Bangladesh
| | | | - Rashedul Hasan
- Infectious Diseases Division, ICDDR,B, Dhaka, Bangladesh
| | | | | | | | - Ariful Islam
- EcoHealth Alliance, New York, New York, USA
- Centre for Integrative Ecology, School of Life and Environmental Science, Deakin University, Burwood, Victoria, Australia
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14
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Nam NN, Do HDK, Loan Trinh KT, Lee NY. Metagenomics: An Effective Approach for Exploring Microbial Diversity and Functions. Foods 2023; 12:foods12112140. [PMID: 37297385 DOI: 10.3390/foods12112140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/21/2023] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
Various fields have been identified in the "omics" era, such as genomics, proteomics, transcriptomics, metabolomics, phenomics, and metagenomics. Among these, metagenomics has enabled a significant increase in discoveries related to the microbial world. Newly discovered microbiomes in different ecologies provide meaningful information on the diversity and functions of microorganisms on the Earth. Therefore, the results of metagenomic studies have enabled new microbe-based applications in human health, agriculture, and the food industry, among others. This review summarizes the fundamental procedures on recent advances in bioinformatic tools. It also explores up-to-date applications of metagenomics in human health, food study, plant research, environmental sciences, and other fields. Finally, metagenomics is a powerful tool for studying the microbial world, and it still has numerous applications that are currently hidden and awaiting discovery. Therefore, this review also discusses the future perspectives of metagenomics.
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Affiliation(s)
- Nguyen Nhat Nam
- Biotechnology Center, School of Agriculture and Aquaculture, Tra Vinh University, Tra Vinh City 87000, Vietnam
| | - Hoang Dang Khoa Do
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ward 13, District 04, Ho Chi Minh City 72820, Vietnam
| | - Kieu The Loan Trinh
- Department of BioNano Technology, Gachon University 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Republic of Korea
| | - Nae Yoon Lee
- Department of BioNano Technology, Gachon University 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Republic of Korea
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15
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Koh WLC, Poh SE, Lee CK, Chan THM, Yan G, Kong KW, Lau L, Lee WYT, Cheng C, Hoon S, Seow Y. Towards a Rapid-Turnaround Low-Depth Unbiased Metagenomics Sequencing Workflow on the Illumina Platforms. Bioengineering (Basel) 2023; 10:bioengineering10050520. [PMID: 37237590 DOI: 10.3390/bioengineering10050520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/20/2023] [Accepted: 04/21/2023] [Indexed: 05/28/2023] Open
Abstract
Unbiased metagenomic sequencing is conceptually well-suited for first-line diagnosis as all known and unknown infectious entities can be detected, but costs, turnaround time and human background reads in complex biofluids, such as plasma, hinder widespread deployment. Separate preparations of DNA and RNA also increases costs. In this study, we developed a rapid unbiased metagenomics next-generation sequencing (mNGS) workflow with a human background depletion method (HostEL) and a combined DNA/RNA library preparation kit (AmpRE) to address this issue. We enriched and detected bacterial and fungal standards spiked in plasma at physiological levels with low-depth sequencing (<1 million reads) for analytical validation. Clinical validation also showed 93% of plasma samples agreed with the clinical diagnostic test results when the diagnostic qPCR had a Ct < 33. The effect of different sequencing times was evaluated with the 19 h iSeq 100 paired end run, a more clinically palatable simulated iSeq 100 truncated run and the rapid 7 h MiniSeq platform. Our results demonstrate the ability to detect both DNA and RNA pathogens with low-depth sequencing and that iSeq 100 and MiniSeq platforms are compatible with unbiased low-depth metagenomics identification with the HostEL and AmpRE workflow.
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Affiliation(s)
- Winston Lian Chye Koh
- Bioinformatic Institute, A*STAR (Agency for Science, Technology and Research), Singapore 138632, Singapore
| | - Si En Poh
- Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore
| | - Chun Kiat Lee
- Department of Laboratory Medicine, National University Hospital, Singapore 119228, Singapore
| | - Tim Hon Man Chan
- Department of Laboratory Medicine, National University Hospital, Singapore 119228, Singapore
| | - Gabriel Yan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
- Division of Microbiology, Department of Laboratory Medicine, National University Health System, Singapore 119228, Singapore
| | - Kiat Whye Kong
- Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore
| | - Lalita Lau
- Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore
| | | | - Clark Cheng
- Paths Diagnostics Pte Limited, Singapore 349317, Singapore
| | - Shawn Hoon
- Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore
| | - Yiqi Seow
- Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore
- Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), Singapore 138672, Singapore
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16
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Claro IM, Ramundo MS, Coletti TM, da Silva CAM, Valenca IN, Candido DS, Sales FCS, Manuli ER, de Jesus JG, de Paula A, Felix AC, Andrade PDS, Pinho MC, Souza WM, Amorim MR, Proenca-Modena JL, Kallas EG, Levi JE, Faria NR, Sabino EC, Loman NJ, Quick J. Rapid viral metagenomics using SMART-9N amplification and nanopore sequencing. Wellcome Open Res 2023; 6:241. [PMID: 37224315 PMCID: PMC10189296 DOI: 10.12688/wellcomeopenres.17170.1] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/05/2023] [Indexed: 12/08/2023] Open
Abstract
Emerging and re-emerging viruses are a global health concern. Genome sequencing as an approach for monitoring circulating viruses is currently hampered by complex and expensive methods. Untargeted, metagenomic nanopore sequencing can provide genomic information to identify pathogens, prepare for or even prevent outbreaks. SMART (Switching Mechanism at the 5' end of RNA Template) is a popular approach for RNA-Seq but most current methods rely on oligo-dT priming to target polyadenylated mRNA molecules. We have developed two random primed SMART-Seq approaches, a sequencing agnostic approach 'SMART-9N' and a version compatible rapid adapters available from Oxford Nanopore Technologies 'Rapid SMART-9N'. The methods were developed using viral isolates, clinical samples, and compared to a gold-standard amplicon-based method. From a Zika virus isolate the SMART-9N approach recovered 10kb of the 10.8kb RNA genome in a single nanopore read. We also obtained full genome coverage at a high depth coverage using the Rapid SMART-9N, which takes only 10 minutes and costs up to 45% less than other methods. We found the limits of detection of these methods to be 6 focus forming units (FFU)/mL with 99.02% and 87.58% genome coverage for SMART-9N and Rapid SMART-9N respectively. Yellow fever virus plasma samples and SARS-CoV-2 nasopharyngeal samples previously confirmed by RT-qPCR with a broad range of Ct-values were selected for validation. Both methods produced greater genome coverage when compared to the multiplex PCR approach and we obtained the longest single read of this study (18.5 kb) with a SARS-CoV-2 clinical sample, 60% of the virus genome using the Rapid SMART-9N method. This work demonstrates that SMART-9N and Rapid SMART-9N are sensitive, low input, and long-read compatible alternatives for RNA virus detection and genome sequencing and Rapid SMART-9N improves the cost, time, and complexity of laboratory work.
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Affiliation(s)
- Ingra M. Claro
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Mariana S. Ramundo
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Thais M. Coletti
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Camila A. M. da Silva
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Ian N. Valenca
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Darlan S. Candido
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Flavia C. S. Sales
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Erika R. Manuli
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Jaqueline G. de Jesus
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Anderson de Paula
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Alvina Clara Felix
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Pamela dos Santos Andrade
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Faculdade de Saúde Pública da Universidade de São Paulo, Sao Paulo, 01246-904, Brazil
| | - Mariana C. Pinho
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - William M. Souza
- World Reference Center for Emerging Viruses and Arboviruses and Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA
| | - Mariene R. Amorim
- Laboratory of Emerging Viruses, Department of Genetics, Microbiology, and Immunology, Institute of Biology, University of Campinas, Campinas, 13083-862, Brazil
| | - José Luiz Proenca-Modena
- Laboratory of Emerging Viruses, Department of Genetics, Microbiology, and Immunology, Institute of Biology, University of Campinas, Campinas, 13083-862, Brazil
- Experimental Medicine Research Cluster, University of Campinas, Campinas, 13083-862, Brazil
| | - Esper G. Kallas
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - José Eduardo Levi
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- DASA, Sao Paulo, 06455-010, Brazil
| | - Nuno Rodrigues Faria
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Ester C. Sabino
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Nicholas J. Loman
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Joshua Quick
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
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17
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Claro IM, Ramundo MS, Coletti TM, da Silva CAM, Valenca IN, Candido DS, Sales FCS, Manuli ER, de Jesus JG, de Paula A, Felix AC, Andrade PDS, Pinho MC, Souza WM, Amorim MR, Proenca-Modena JL, Kallas EG, Levi JE, Faria NR, Sabino EC, Loman NJ, Quick J. Rapid viral metagenomics using SMART-9N amplification and nanopore sequencing. Wellcome Open Res 2023; 6:241. [PMID: 37224315 PMCID: PMC10189296 DOI: 10.12688/wellcomeopenres.17170.2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/05/2023] [Indexed: 05/26/2023] Open
Abstract
Emerging and re-emerging viruses are a global health concern. Genome sequencing as an approach for monitoring circulating viruses is currently hampered by complex and expensive methods. Untargeted, metagenomic nanopore sequencing can provide genomic information to identify pathogens, prepare for or even prevent outbreaks. SMART (Switching Mechanism at the 5' end of RNA Template) is a popular approach for RNA-Seq but most current methods rely on oligo-dT priming to target polyadenylated mRNA molecules. We have developed two random primed SMART-Seq approaches, a sequencing agnostic approach 'SMART-9N' and a version compatible rapid adapters available from Oxford Nanopore Technologies 'Rapid SMART-9N'. The methods were developed using viral isolates, clinical samples, and compared to a gold-standard amplicon-based method. From a Zika virus isolate the SMART-9N approach recovered 10kb of the 10.8kb RNA genome in a single nanopore read. We also obtained full genome coverage at a high depth coverage using the Rapid SMART-9N, which takes only 10 minutes and costs up to 45% less than other methods. We found the limits of detection of these methods to be 6 focus forming units (FFU)/mL with 99.02% and 87.58% genome coverage for SMART-9N and Rapid SMART-9N respectively. Yellow fever virus plasma samples and SARS-CoV-2 nasopharyngeal samples previously confirmed by RT-qPCR with a broad range of Ct-values were selected for validation. Both methods produced greater genome coverage when compared to the multiplex PCR approach and we obtained the longest single read of this study (18.5 kb) with a SARS-CoV-2 clinical sample, 60% of the virus genome using the Rapid SMART-9N method. This work demonstrates that SMART-9N and Rapid SMART-9N are sensitive, low input, and long-read compatible alternatives for RNA virus detection and genome sequencing and Rapid SMART-9N improves the cost, time, and complexity of laboratory work.
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Affiliation(s)
- Ingra M. Claro
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Mariana S. Ramundo
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Thais M. Coletti
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Camila A. M. da Silva
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Ian N. Valenca
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Darlan S. Candido
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Flavia C. S. Sales
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Erika R. Manuli
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Jaqueline G. de Jesus
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Anderson de Paula
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Alvina Clara Felix
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Pamela dos Santos Andrade
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Faculdade de Saúde Pública da Universidade de São Paulo, Sao Paulo, 01246-904, Brazil
| | - Mariana C. Pinho
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - William M. Souza
- World Reference Center for Emerging Viruses and Arboviruses and Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA
| | - Mariene R. Amorim
- Laboratory of Emerging Viruses, Department of Genetics, Microbiology, and Immunology, Institute of Biology, University of Campinas, Campinas, 13083-862, Brazil
| | - José Luiz Proenca-Modena
- Laboratory of Emerging Viruses, Department of Genetics, Microbiology, and Immunology, Institute of Biology, University of Campinas, Campinas, 13083-862, Brazil
- Experimental Medicine Research Cluster, University of Campinas, Campinas, 13083-862, Brazil
| | - Esper G. Kallas
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - José Eduardo Levi
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- DASA, Sao Paulo, 06455-010, Brazil
| | - Nuno Rodrigues Faria
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Ester C. Sabino
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Nicholas J. Loman
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Joshua Quick
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
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18
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Chapman R, Jones L, D'Angelo A, Suliman A, Anwar M, Bagby S. Nanopore-Based Metagenomic Sequencing in Respiratory Tract Infection: A Developing Diagnostic Platform. Lung 2023; 201:171-179. [PMID: 37009923 PMCID: PMC10067523 DOI: 10.1007/s00408-023-00612-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 03/14/2023] [Indexed: 04/04/2023]
Abstract
Respiratory tract infection (RTI) remains a significant cause of morbidity and mortality across the globe. The optimal management of RTI relies upon timely pathogen identification via evaluation of respiratory samples, a process which utilises traditional culture-based methods to identify offending microorganisms. This process can be slow and often prolongs the use of broad-spectrum antimicrobial therapy, whilst also delaying the introduction of targeted therapy as a result. Nanopore sequencing (NPS) of respiratory samples has recently emerged as a potential diagnostic tool in RTI. NPS can identify pathogens and antimicrobial resistance profiles with greater speed and efficiency than traditional sputum culture-based methods. Increased speed to pathogen identification can improve antimicrobial stewardship by reducing the use of broad-spectrum antibiotic therapy, as well as improving overall clinical outcomes. This new technology is becoming more affordable and accessible, with some NPS platforms requiring minimal sample preparation and laboratory infrastructure. However, questions regarding clinical utility and how best to implement NPS technology within RTI diagnostic pathways remain unanswered. In this review, we introduce NPS as a technology and as a diagnostic tool in RTI in various settings, before discussing the advantages and limitations of NPS, and finally what the future might hold for NPS platforms in RTI diagnostics.
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Affiliation(s)
- Robert Chapman
- Princess Alexandra Hospital, Hamstel Road, Harlow, CM20 1QX, UK.
| | - Luke Jones
- Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | - Alberto D'Angelo
- Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
| | - Ahmed Suliman
- Princess Alexandra Hospital, Hamstel Road, Harlow, CM20 1QX, UK
| | - Muhammad Anwar
- Princess Alexandra Hospital, Hamstel Road, Harlow, CM20 1QX, UK
| | - Stefan Bagby
- Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK
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19
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Ryan KA, Bewley KR, Watson RJ, Burton C, Carnell O, Cavell BE, Challis A, Coombes NS, Davies ER, Edun-Huges J, Emery K, Fell R, Fotheringham SA, Gooch KE, Gowan K, Handley A, Harris DJ, Hesp R, Hunter L, Humphreys R, Johnson R, Kennard C, Knott D, Lister S, Morley D, Ngabo D, Osman KL, Paterson J, Penn EJ, Pullan ST, Richards KS, Summers S, Thomas SR, Weldon T, Wiblin NR, Rayner EL, Vipond RT, Hallis B, Salguero FJ, Funnell SGP, Hall Y. Syrian hamster convalescence from prototype SARS-CoV-2 confers measurable protection against the attenuated disease caused by the Omicron variant. PLoS Pathog 2023; 19:e1011293. [PMID: 37014911 PMCID: PMC10104347 DOI: 10.1371/journal.ppat.1011293] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 04/14/2023] [Accepted: 03/11/2023] [Indexed: 04/05/2023] Open
Abstract
The mutation profile of the SARS-CoV-2 Omicron (lineage BA.1) variant posed a concern for naturally acquired and vaccine-induced immunity. We investigated the ability of prior infection with an early SARS-CoV-2 ancestral isolate (Australia/VIC01/2020, VIC01) to protect against disease caused by BA.1. We established that BA.1 infection in naïve Syrian hamsters resulted in a less severe disease than a comparable dose of the ancestral virus, with fewer clinical signs including less weight loss. We present data to show that these clinical observations were almost absent in convalescent hamsters challenged with the same dose of BA.1 50 days after an initial infection with ancestral virus. These data provide evidence that convalescent immunity against ancestral SARS-CoV-2 is protective against BA.1 in the Syrian hamster model of infection. Comparison with published pre-clinical and clinical data supports consistency of the model and its predictive value for the outcome in humans. Further, the ability to detect protection against the less severe disease caused by BA.1 demonstrates continued value of the Syrian hamster model for evaluation of BA.1-specific countermeasures.
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Affiliation(s)
| | | | | | | | | | | | - Amy Challis
- UK Health Security Agency, Salisbury, United Kingdom
| | | | | | | | - Kirsty Emery
- UK Health Security Agency, Salisbury, United Kingdom
| | - Rachel Fell
- UK Health Security Agency, Salisbury, United Kingdom
| | | | - Karen E Gooch
- UK Health Security Agency, Salisbury, United Kingdom
| | - Kathryn Gowan
- UK Health Security Agency, Salisbury, United Kingdom
| | | | | | - Richard Hesp
- UK Health Security Agency, Salisbury, United Kingdom
| | - Laura Hunter
- UK Health Security Agency, Salisbury, United Kingdom
| | | | | | | | - Daniel Knott
- UK Health Security Agency, Salisbury, United Kingdom
| | - Sian Lister
- UK Health Security Agency, Salisbury, United Kingdom
| | - Daniel Morley
- UK Health Security Agency, Salisbury, United Kingdom
| | - Didier Ngabo
- UK Health Security Agency, Salisbury, United Kingdom
| | - Karen L Osman
- UK Health Security Agency, Salisbury, United Kingdom
| | | | | | | | | | - Sian Summers
- UK Health Security Agency, Salisbury, United Kingdom
| | | | - Thomas Weldon
- UK Health Security Agency, Salisbury, United Kingdom
| | | | - Emma L Rayner
- UK Health Security Agency, Salisbury, United Kingdom
| | | | - Bassam Hallis
- UK Health Security Agency, Salisbury, United Kingdom
| | | | | | - Yper Hall
- UK Health Security Agency, Salisbury, United Kingdom
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20
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Gauthier NPG, Chorlton SD, Krajden M, Manges AR. Agnostic Sequencing for Detection of Viral Pathogens. Clin Microbiol Rev 2023; 36:e0011922. [PMID: 36847515 PMCID: PMC10035330 DOI: 10.1128/cmr.00119-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023] Open
Abstract
The advent of next-generation sequencing (NGS) technologies has expanded our ability to detect and analyze microbial genomes and has yielded novel molecular approaches for infectious disease diagnostics. While several targeted multiplex PCR and NGS-based assays have been widely used in public health settings in recent years, these targeted approaches are limited in that they still rely on a priori knowledge of a pathogen's genome, and an untargeted or unknown pathogen will not be detected. Recent public health crises have emphasized the need to prepare for a wide and rapid deployment of an agnostic diagnostic assay at the start of an outbreak to ensure an effective response to emerging viral pathogens. Metagenomic techniques can nonspecifically sequence all detectable nucleic acids in a sample and therefore do not rely on prior knowledge of a pathogen's genome. While this technology has been reviewed for bacterial diagnostics and adopted in research settings for the detection and characterization of viruses, viral metagenomics has yet to be widely deployed as a diagnostic tool in clinical laboratories. In this review, we highlight recent improvements to the performance of metagenomic viral sequencing, the current applications of metagenomic sequencing in clinical laboratories, as well as the challenges that impede the widespread adoption of this technology.
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Affiliation(s)
- Nick P. G. Gauthier
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Mel Krajden
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - Amee R. Manges
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
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21
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Handley A, Ryan KA, Davies ER, Bewley KR, Carnell OT, Challis A, Coombes NS, Fotheringham SA, Gooch KE, Charlton M, Harris DJ, Kennard C, Ngabo D, Weldon TM, Salguero FJ, Funnell SGP, Hall Y. SARS-CoV-2 Disease Severity in the Golden Syrian Hamster Model of Infection Is Related to the Volume of Intranasal Inoculum. Viruses 2023; 15:748. [PMID: 36992457 PMCID: PMC10051760 DOI: 10.3390/v15030748] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 03/07/2023] [Accepted: 03/10/2023] [Indexed: 03/16/2023] Open
Abstract
The golden Syrian hamster (Mesocricetus auratus) is now commonly used in preclinical research for the study of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and the assessment of vaccines, drugs and therapeutics. Here, we show that hamsters inoculated via the intranasal route with the same infectious virus dose of prototypical SARS-CoV-2 administered in a different volume present with different clinical signs, weight loss and viral shedding, with a reduced volume resulting in reduced severity of disease similar to that obtained by a 500-fold reduction in the challenge dose. The tissue burden of the virus and the severity of pulmonary pathology were also significantly affected by different challenge inoculum volumes. These findings suggest that a direct comparison between the severity of SARS-CoV-2 variants or studies assessing the efficacy of treatments determined by hamster studies cannot be made unless both the challenge dose and inoculation volume are matched when using the intranasal route. Additionally, analysis of sub-genomic and total genomic RNA PCR data demonstrated no link between sub-genomic and live viral titres and that sub-genomic analyses do not provide any information beyond that provided by more sensitive total genomic PCR.
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Affiliation(s)
- Alastair Handley
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Kathryn A. Ryan
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Elizabeth R. Davies
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Kevin R. Bewley
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Oliver T. Carnell
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Amy Challis
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Naomi S. Coombes
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Susan A. Fotheringham
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Karen E. Gooch
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Michael Charlton
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Debbie J. Harris
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Chelsea Kennard
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Didier Ngabo
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Thomas M. Weldon
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Francisco J. Salguero
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
| | - Simon G. P. Funnell
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK
- World Health Organization, Appia 20, 1211 Geneva, Switzerland
| | - Yper Hall
- UKHSA Porton, Vaccine Development and Evaluation Centre, UK Health Security Agency, Manor Farm Road, Salisbury SP4 0JG, UK
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22
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Wang L. Diagnostics for Viral Pathogens in Veterinary Diagnostic Laboratories. Vet Clin North Am Food Anim Pract 2023; 39:129-140. [PMID: 36731993 DOI: 10.1016/j.cvfa.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Laboratory testing is one part of clinical diagnosis, and quick and reliable testing results provide important data to support treatment decision and develop control strategies. Clinical viral testing has been shifting from traditional virus isolation and electron microscopy to molecular polymerase chain reaction and point-of-care antigen tests. This shift in diagnostic methodology also means change from looking for infectious virions or viral particles to hunting viral antigens and genomes. With technological development, it is predicted that metagenomic sequencing will be commonly used in veterinary clinical diagnosis for unveiling the whole picture of microbes involved in diseases in the future.
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Affiliation(s)
- Leyi Wang
- Department of Veterinary Clinical Medicine, Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, 2001 South Lincoln Avenue, VMBSB Room 1222A, Urbana, IL 61802, USA.
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23
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Vereecke N, Zwickl S, Gumbert S, Graaf A, Harder T, Ritzmann M, Lillie-Jaschniski K, Theuns S, Stadler J. Viral and Bacterial Profiles in Endemic Influenza A Virus Infected Swine Herds Using Nanopore Metagenomic Sequencing on Tracheobronchial Swabs. Microbiol Spectr 2023; 11:e0009823. [PMID: 36853049 PMCID: PMC10100764 DOI: 10.1128/spectrum.00098-23] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 02/03/2023] [Indexed: 03/01/2023] Open
Abstract
Swine influenza A virus (swIAV) plays an important role in porcine respiratory infections. In addition to its ability to cause severe disease by itself, it is important in the multietiological porcine respiratory disease complex. Still, to date, no comprehensive diagnostics with which to study polymicrobial infections in detail have been offered. Hence, veterinary practitioners rely on monospecific and costly diagnostics, such as Reverse Transcription quantitative PCR (RT-qPCR), antigen detection, and serology. This prevents the proper understanding of the entire disease context, thereby hampering effective preventive and therapeutic actions. A new, nanopore-based, metagenomic diagnostic platform was applied to study viral and bacterial profiles across 4 age groups on 25 endemic swIAV-infected German farms with respiratory distress in the nursery. Farms were screened for swIAV using RT-qPCR on nasal and tracheobronchial swabs (TBS). TBS samples were pooled per age, prior to metagenomic characterization. The resulting data showed a correlation between the swIAV loads and the normalized reads, supporting a (semi-)quantitative interpretation of the metagenomic data. Interestingly, an in-depth characterization using beta diversity and PERMANOVA analyses allowed for the observation of an age-dependent interplay of known microbial agents. Also, lesser-known microbes, such as porcine polyoma, parainfluenza, and hemagglutinating encephalomyelitis viruses, were observed. Analyses of swIAV incidence and clinical signs showed differing microbial communities, highlighting age-specific observations of various microbes in porcine respiratory disease. In conclusion, nanopore metagenomics were shown to enable a panoramic view on viral and bacterial profiles as well as putative pathogen dynamics in endemic swIAV-infected herds. The results also highlighted the need for better insights into lesser studied agents that are potentially associated with porcine respiratory disease. IMPORTANCE To date, no comprehensive diagnostics for the study of polymicrobial infections that are associated with porcine respiratory disease have been offered. This precludes the proper understanding of the entire disease landscape, thereby hampering effective preventive and therapeutic actions. Compared to the often-costly diagnostic procedures that are applied for the diagnostics of porcine respiratory disease nowadays, a third-generation nanopore sequencing diagnostics workflow presents a cost-efficient and informative tool. This approach offers a panoramic view of microbial agents and contributes to the in-depth observation and characterization of viral and bacterial profiles within the respiratory disease context. While these data allow for the study of age-associated, swIAV-associated, and clinical symptom-associated observations, it also suggests that more effort should be put toward the investigation of coinfections and lesser-known pathogens (e.g., PHEV and PPIV), along with their potential roles in porcine respiratory disease. Overall, this approach will allow veterinary practitioners to tailor treatment and/or management changes on farms in a quicker, more complete, and cost-efficient way.
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Affiliation(s)
- Nick Vereecke
- Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
- PathoSense BV, Lier, Belgium
| | - Sophia Zwickl
- Clinic for Swine at the Centre for Clinical Veterinary Medicine, LMU Munich, Germany
| | - Sophie Gumbert
- Clinic for Swine at the Centre for Clinical Veterinary Medicine, LMU Munich, Germany
| | - Annika Graaf
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Germany
| | - Timm Harder
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Germany
| | - Mathias Ritzmann
- Clinic for Swine at the Centre for Clinical Veterinary Medicine, LMU Munich, Germany
| | | | - Sebastiaan Theuns
- Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
- PathoSense BV, Lier, Belgium
| | - Julia Stadler
- Clinic for Swine at the Centre for Clinical Veterinary Medicine, LMU Munich, Germany
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24
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Assessment of the Biological Impact of SARS-CoV-2 Genetic Variation Using an Authentic Virus Neutralisation Assay with Convalescent Plasma, Vaccinee Sera, and Standard Reagents. Viruses 2023; 15:v15030633. [PMID: 36992342 PMCID: PMC10056478 DOI: 10.3390/v15030633] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/03/2023] Open
Abstract
In the summer of 2020, it became clear that the genetic composition of SARS-CoV-2 was changing rapidly. This was highlighted by the rapid emergence of the D614G mutation at that time. In the autumn of 2020, the project entitled “Agility” was initiated with funding from the Coalition for Epidemic Preparedness Innovations (CEPI) to assess new variants of SARS-CoV-2. The project was designed to reach out and intercept swabs containing live variant viruses in order to generate highly characterised master and working stocks, and to assess the biological consequences of the rapid genetic changes using both in vitro and in vivo approaches. Since November 2020, a total of 21 variants have been acquired and tested against either a panel of convalescent sera from early in the pandemic, and/or a panel of plasma from triple-vaccinated participants. A pattern of continuous evolution of SARS-CoV-2 has been revealed. Sequential characterisation of the most globally significant variants available to us, generated in real-time, indicated that the most recent Omicron variants appear to have evolved in a manner that avoids immunological recognition by convalescent plasma from the era of the ancestral virus when analysed in an authentic virus neutralisation assay.
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25
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Abou Kubaa R, Amoia SS, Altamura G, Minafra A, Chiumenti M, Cillo F. Nanopore Technology Applied to Targeted Detection of Tomato Brown Rugose Fruit Virus Allows Sequencing of Related Viruses and the Diagnosis of Mixed Infections. PLANTS (BASEL, SWITZERLAND) 2023; 12:999. [PMID: 36903859 PMCID: PMC10005216 DOI: 10.3390/plants12050999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/10/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
Tomato (Solanum lycopersicum) plants from a commercial glasshouse were identified with symptoms compatible with a tomato brown rugose fruit virus (ToBRFV) infection. Reverse transcription-PCR and quantitative PCR confirmed the presence of ToBRFV. Subsequently, the same RNA sample and a second from tomato plants infected with a similar tobamovirus, tomato mottle mosaic virus (ToMMV), were extracted and processed for high-throughput sequencing with the Oxford Nanopore Technology (ONT). For the targeted detection of ToBRFV, the two libraries were synthesized by using six ToBRFV sequence-specific primers in the reverse transcription step. This innovative target enrichment technology enabled deep coverage sequencing of ToBRFV, with 30% of the total reads mapping to the target virus genome and 57% mapping to the host genome. The same set of primers applied to the ToMMV library generated 5% of the total reads mapping to the latter virus, indicating that sequencing of similar, non-target viral sequences was also allowed. Further, the complete genome of pepino mosaic virus (PepMV) was also sequenced from the ToBRFV library, thus suggesting that, even using multiple sequence-specific primers, a low rate of off-target sequencing can usefully provide additional information on unexpected viral species coinfecting the same samples in an individual assay. These results demonstrate that targeted nanopore sequencing can specifically identify viral agents and has sufficient sensitivity towards non-target organisms to provide evidence of mixed virus infections.
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Affiliation(s)
- Raied Abou Kubaa
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
| | - Serafina Serena Amoia
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
- Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, 70126 Bari, Italy
| | - Giuseppe Altamura
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
- Research, Experimentation and Education Centre in Agriculture (CRSFA) “Basile Caramia”, Via Cisternino 281, 70010 Locorotondo, Italy
| | - Angelantonio Minafra
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
| | - Michela Chiumenti
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
| | - Fabrizio Cillo
- Institute for Sustainable Plant Protection—National Research Council, 70126 Bari, Italy
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26
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Identification of novel antiviral drug candidates using an optimized SARS-CoV-2 phenotypic screening platform. iScience 2023; 26:105944. [PMID: 36644320 PMCID: PMC9822553 DOI: 10.1016/j.isci.2023.105944] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 12/07/2022] [Accepted: 01/05/2023] [Indexed: 01/09/2023] Open
Abstract
Reliable, easy-to-handle phenotypic screening platforms are needed for the identification of anti-SARS-CoV-2 compounds. Here, we present caspase 3/7 activity as a readout for monitoring the replication of SARS-CoV-2 isolates from different variants, including a remdesivir-resistant strain, and of other coronaviruses in numerous cell culture models, independently of cytopathogenic effect formation. Compared to other models, the Caco-2 subline Caco-2-F03 displayed superior performance. It possesses a stable SARS-CoV-2 susceptibility phenotype and does not produce false-positive hits due to drug-induced phospholipidosis. A proof-of-concept screen of 1,796 kinase inhibitors identified known and novel antiviral drug candidates including inhibitors of phosphoglycerate dehydrogenase (PHGDH), CDC like kinase 1 (CLK-1), and colony stimulating factor 1 receptor (CSF1R). The activity of the PHGDH inhibitor NCT-503 was further increased in combination with the hexokinase II (HK2) inhibitor 2-deoxy-D-glucose, which is in clinical development for COVID-19. In conclusion, caspase 3/7 activity detection in SARS-CoV-2-infected Caco-2-F03 cells provides a simple phenotypic high-throughput screening platform for SARS-CoV-2 drug candidates that reduces false-positive hits.
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27
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D'Addiego J, Elaldi N, Wand N, Osman K, Bagci BK, Kennedy E, Pektas AN, Hart E, Slack G, Hewson R. Investigating the effect of ribavirin treatment on genetic mutations in Crimean-Congo haemorrhagic fever virus (CCHFV) through next-generation sequencing. J Med Virol 2023; 95:e28548. [PMID: 36734067 DOI: 10.1002/jmv.28548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/12/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023]
Abstract
Crimean-Congo haemorrhagic fever (CCHF) is the most widespread tick-borne viral haemorrhagic fever affecting humans, and yet a licensed drug against the virus (CCHFV) is still not available. While several studies have suggested the efficacy of ribavirin against CCHFV, current literature remains inconclusive. In this study, we have utilised next-generation sequencing to investigate the mutagenic effect of ribavirin on the CCHFV genome during clinical disease. Samples collected from CCHF patients receiving ribavirin treatment or supportive care only at Sivas Cumhuriyet University Hospital, Turkey, were analysed. By comparing the frequency of mutations in each group, we found little evidence of an overall mutagenic effect. This suggests that ribavirin, administered at the acute stages of CCHFV infection (at the World Health Organization-recommended dose) is unable to induce lethal mutagenesis that would cause an extinction event in the CCHFV population and reduce viremia.
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Affiliation(s)
- Jake D'Addiego
- UK Health Security Agency, Salisbury, UK
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Nazif Elaldi
- Department of Infectious Diseases and Clinical Microbiology, Sivas Cumhuriyet University Faculty of Medicine, Sivas, Turkey
| | | | | | - Binnur Koksal Bagci
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Sivas Cumhuriyet University, Sivas, Turkey
| | | | - Ayse Nur Pektas
- Cumhuriyet University Advanced Technology Application and Research Center (CUTAM), Sivas Cumhuriyet University, Sivas, Turkey
| | | | | | - Roger Hewson
- UK Health Security Agency, Salisbury, UK
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
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28
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Dynamics of DNA Through Solid‐state Nanopores Fabricated by Controlled Dielectric Breakdown. Chem Asian J 2022; 17:e202200888. [DOI: 10.1002/asia.202200888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/28/2022] [Indexed: 11/19/2022]
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29
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Lean FZX, Leblond AL, Byrne AMP, Mollett B, James J, Watson S, Hurley S, Brookes SM, Weber A, Núñez A. Subclinical hepatitis E virus infection in laboratory ferrets in the UK. J Gen Virol 2022; 103. [DOI: 10.1099/jgv.0.001803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Ferrets are widely used for experimental modelling of viral infections. However, background disease in ferrets could potentially confound intended experimental interpretation. Here we report the detection of a subclinical infection of ferret hepatitis E virus (FRHEV) within a colony sub-group of female laboratory ferrets that had been enrolled on an experimental viral infection study (non-hepatitis). Lymphoplasmacytic cuffing of periportal spaces was identified on histopathology but was negative for the RNA and antigens of the administered virus. Follow-up viral metagenomic analysis conducted on liver specimens revealed sequences attributed to FRHEV and these were confirmed by reverse-transcriptase polymerase chain reaction. Further genomic analysis revealed contiguous sequences spanning 79–95 % of the FRHEV genome and that the sequences were closely related to those reported previously in Europe. Using in situ hybridization by RNAScope, we confirmed the presence of HEV-specific RNA in hepatocytes. The HEV open reading frame 2 (ORF2) protein was also detected by immunohistochemistry in the hepatocytes and the biliary canaliculi. In conclusion, the results of our study provide evidence of background infection with FRHEV in laboratory ferrets. As this infection can be subclinical, we recommend routine monitoring of ferret populations using virological and liver function tests to avoid incorrect causal attribution of any liver disease detected in in vivo studies.
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Affiliation(s)
- Fabian Z. X. Lean
- Animal and Plant Health Agency (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
- Present address: Department of Pathobiology & Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, AL9 7TA, UK
| | - Anne-Laure Leblond
- Department of Pathology and Molecular Pathology, University Zurich and University Hospital Zurich, Zurich, Switzerland
| | - Alexander M. P. Byrne
- Animal and Plant Health Agency (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Benjamin Mollett
- Animal and Plant Health Agency (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Joe James
- Animal and Plant Health Agency (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Samantha Watson
- Animal and Plant Health Agency (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Shellene Hurley
- Animal and Plant Health Agency (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Sharon M. Brookes
- Animal and Plant Health Agency (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Achim Weber
- Department of Pathology and Molecular Pathology, University Zurich and University Hospital Zurich, Zurich, Switzerland
| | - Alejandro Núñez
- Animal and Plant Health Agency (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
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30
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Lee HJ, Cho IS, Jeong RD. Nanopore Metagenomics Sequencing for Rapid Diagnosis and Characterization of Lily Viruses. THE PLANT PATHOLOGY JOURNAL 2022; 38:503-512. [PMID: 36221922 PMCID: PMC9561158 DOI: 10.5423/ppj.oa.06.2022.0084] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/28/2022] [Accepted: 08/12/2022] [Indexed: 05/21/2023]
Abstract
Lilies (Lilium spp.) are one of the most important ornamental flower crops grown in Korea. Most viral diseases in lilies are transmitted by infected bulbs, which cause serious economic losses due to reduced yields. Various diagnostic techniques and high-throughput sequencing methods have been used to detect lily viruses. According to Oxford Nanopore Technologies (ONT), MinION is a compact and portable sequencing device. In this study, three plant viruses, lily mottle, lily symptomless, and plantago asiatica mosaic virus, were detected in lily samples using the ONT platform. As a result of genome assembly of reads obtained through ONT, 100% coverage and 90.3-93.4% identity were obtained. Thus, we show that the ONT platform is a promising tool for the diagnosis and characterization of viruses that infect crops.
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Affiliation(s)
- Hyo-Jeong Lee
- Department of Applied Biology, Institute of Environmentally Friendly Agriculture, Chonnam National University, Gwangju 61185,
Korea
| | - In-Sook Cho
- Horticultural and Herbal Crop Environment Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365,
Korea
| | - Rae-Dong Jeong
- Department of Applied Biology, Institute of Environmentally Friendly Agriculture, Chonnam National University, Gwangju 61185,
Korea
- Corresponding author. Phone) +82-62-530-2075, FAX) +82-62-530-2069, E-mail)
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31
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Deng Q, Cao Y, Wan X, Wang B, Sun A, Wang H, Wang Y, Wang H, Gu H. Nanopore-based metagenomic sequencing for the rapid and precise detection of pathogens among immunocompromised cancer patients with suspected infections. Front Cell Infect Microbiol 2022; 12:943859. [PMID: 36204638 PMCID: PMC9530710 DOI: 10.3389/fcimb.2022.943859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 08/22/2022] [Indexed: 11/16/2022] Open
Abstract
Cancer patients are at high risk of infections and infection-related mortality; thereby, prompt diagnosis and precise anti-infectives treatment are critical. This study aimed to evaluate the performance of nanopore amplicon sequencing in identifying microbial agents among immunocompromised cancer patients with suspected infections. This prospective study enlisted 56 immunocompromised cancer patients with suspected infections. Their body fluid samples such as sputum and blood were collected, and potential microbial agents were detected in parallel by nanopore amplicon sequencing and the conventional culture method. Among the 56 body fluid samples, 47 (83.9%) samples were identified to have at least one pathogen by nanopore amplicon sequencing, but only 25 (44.6%) samples exhibited a positive finding by culture. Among 31 culture-negative samples, nanopore amplicon sequencing successfully detected pathogens in 22 samples (71.0%). Nanopore amplicon sequencing showed a higher sensitivity in pathogen detection than that of the conventional culture method (83.9% vs. 44.6%, P<0.001), and this advantage both existed in blood samples (38.5% vs. 0%, P=0.039) and non-blood samples (97.7% vs. 58.1%, P<0.001). Compared with the culture method, nanopore amplicon sequencing illustrated more samples with bacterial infections (P<0.001), infections from fastidious pathogens (P=0.006), and co-infections (P<0.001). The mean turnaround time for nanopore amplicon sequencing was about 17.5 hours, which was shorter than that of the conventional culture assay. This study suggested nanopore amplicon sequencing as a rapid and precise method for detecting pathogens among immunocompromised cancer patients with suspected infections. The novel and high-sensitive method will improve the outcomes of immunocompromised cancer patients by facilitating the prompt diagnosis of infections and precise anti-infectives treatment.
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Affiliation(s)
- Qingmei Deng
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, China
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, China
| | - Yongqing Cao
- The Cancer Hospital of the University of Chinese Academy of Sciences, Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, China
| | - Xiaofeng Wan
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, China
| | - Bin Wang
- Zhejiang ShengTing Biotechnology Company, Hangzhou, China
| | - Aimin Sun
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, China
| | - Huanzhong Wang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, China
| | - Yunfei Wang
- Zhejiang ShengTing Biotechnology Company, Hangzhou, China
| | - Hongzhi Wang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, China
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, China
- *Correspondence: Hongzhi Wang, ; Hongcang Gu,
| | - Hongcang Gu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, China
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei, China
- Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, China
- *Correspondence: Hongzhi Wang, ; Hongcang Gu,
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32
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Xiong Q, Jiang H, Liu Z, Peng J, Sun J, Fang L, Li C, Qiu M, Zhang X, Lu J. Untangling an AGS Outbreak Caused by the Recombinant GII.12[P16] Norovirus With Nanopore Sequencing. Front Cell Infect Microbiol 2022; 12:911563. [PMID: 35865812 PMCID: PMC9294139 DOI: 10.3389/fcimb.2022.911563] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 06/06/2022] [Indexed: 01/02/2023] Open
Abstract
For a rapidly spreading virus such as NoV (norovirus), pathogen identification, genotype classification, and transmission tracing are urgent for epidemic control. Here, we applied the Nanopore metatranscriptomic sequencing to determine the causative pathogen of a community AGS (Acute gastroenteritis) outbreak. The results were also confirmed by RT-PCR. The NGS (Next Generation Sequencing) library was constructed within 8 hours and sequence analyses were carried out in real-time. NoV positive reads were detected in 13 of 17 collected samples, including two water samples from sewage treatment tank and cistern. A nearly complete viral genome and other genome fragments could be generated from metatranscriptomic sequencing of 13 samples. The NoV sequences from water samples and cases are identical suggesting the potential source of the outbreak. The sequencing results also indicated the outbreak was likely caused by an emerging recombinant GII.12[P16] virus, which was only identified in the United States and Canada in 2017–2018. This is the first report of this emerging variant in mainland China, following the large outbreaks caused by the recombinant GII.17[P17] and GII.2[P16] in 2014 and 2016, respectively. Closely monitoring of the prevalence of this recombinant strain is required. Our data also highlighted the importance of real-time sequencing in emerging pathogens’ surveillance.
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Affiliation(s)
- Qianling Xiong
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institution of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Huimin Jiang
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institution of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Zhe Liu
- Guangdong Provincial Institution of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jinju Peng
- Haizhu Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jing Sun
- Guangdong Provincial Institution of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Ling Fang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Caixia Li
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Ming Qiu
- Guangdong Provincial Institution of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Xin Zhang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- *Correspondence: Xin Zhang, ; Jing Lu,
| | - Jing Lu
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institution of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- *Correspondence: Xin Zhang, ; Jing Lu,
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33
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Findlay-Wilson S, Easterbrook L, Smith S, Pope N, Humphries G, Schuhmann H, Ngabo D, Rayner E, Otter AD, Coleman T, Hicks B, Graham VA, Halkerston R, Apostolakis K, Taylor S, Fotheringham S, Horton A, Tree JA, Wand M, Hewson R, Dowall SD. Development of a cost-effective ovine antibody-based therapy against SARS-CoV-2 infection and contribution of antibodies specific to the spike subunit proteins. Antiviral Res 2022; 203:105332. [PMID: 35533779 PMCID: PMC9075985 DOI: 10.1016/j.antiviral.2022.105332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 04/29/2022] [Accepted: 05/03/2022] [Indexed: 11/25/2022]
Abstract
Antibodies against SARS-CoV-2 are important to generate protective immunity, with convalescent plasma one of the first therapies approved. An alternative source of polyclonal antibodies suitable for upscaling would be more amendable to regulatory approval and widespread use. In this study, sheep were immunised with SARS-CoV-2 whole spike protein or one of the subunit proteins: S1 and S2. Once substantial antibody titres were generated, plasma was collected and samples pooled for each antigen. Non-specific antibodies were removed via affinity-purification to yield candidate products for testing in a hamster model of SARS-CoV-2 infection. Affinity-purified polyclonal antibodies to whole spike, S1 and S2 proteins were evaluated for in vitro for neutralising activity against SARS-CoV-2 Wuhan-like virus (Australia/VIC01/2020) and a recent variant of concern, B.1.1.529 BA.1 (Omicron), antibody-binding, complement fixation and phagocytosis assays were also performed. All antibody preparations demonstrated an effect against SARS-CoV-2 disease in the hamster model of challenge, with those raised against the S2 subunit providing the most promise. A rapid, cost-effective therapy for COVID-19 was developed which provides a source of highly active immunoglobulin specific to SARS-CoV-2 with multi-functional activity.
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Affiliation(s)
- Stephen Findlay-Wilson
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Linda Easterbrook
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Sandra Smith
- International Therapeutic Proteins Ltd (Australia), Longford, Tasmania, 7301, Australia
| | - Neville Pope
- International Therapeutic Proteins Ltd (UK), Goleigh Farm, Selborne, Hampshire, GU34 3SE, UK
| | - Gareth Humphries
- Native Antigen Company, Langford Locks, Kidlington, Oxford, OX5 1LH, UK
| | - Holger Schuhmann
- Native Antigen Company, Langford Locks, Kidlington, Oxford, OX5 1LH, UK
| | - Didier Ngabo
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Emma Rayner
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Ashley David Otter
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Tom Coleman
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Bethany Hicks
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Victoria Anne Graham
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Rachel Halkerston
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Kostis Apostolakis
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Stephen Taylor
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Susan Fotheringham
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Amanda Horton
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Julia Anne Tree
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Matthew Wand
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Roger Hewson
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK
| | - Stuart David Dowall
- United Kingdom Health Security Agency (UKHSA), Porton Down, Salisbury, Wiltshire, SP4 0JG, UK.
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34
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Lin Y, Dai Y, Liu Y, Ren Z, Guo H, Li Z, Li J, Wang K, Yang L, Zhang S, Liu H, Jia L, Ni M, Li P, Song H. Rapid PCR-Based Nanopore Adaptive Sequencing Improves Sensitivity and Timeliness of Viral Clinical Detection and Genome Surveillance. Front Microbiol 2022; 13:929241. [PMID: 35783376 PMCID: PMC9244360 DOI: 10.3389/fmicb.2022.929241] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
Nanopore sequencing has been widely used for the real-time detection and surveillance of pathogens with portable MinION. Nanopore adaptive sequencing can enrich on-target sequences without additional pretreatment. In this study, the performance of adaptive sequencing was evaluated for viral genome enrichment of clinical respiratory samples. Ligation-based nanopore adaptive sequencing (LNAS) and rapid PCR-based nanopore adaptive sequencing (RPNAS) workflows were performed to assess the effects of enrichment on nasopharyngeal swab samples from human adenovirus (HAdV) outbreaks. RPNAS was further applied for the enrichment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from nasopharyngeal swab samples to evaluate sensitivity and timeliness. The RPNAS increased both the relative abundance (7.87–12.86-fold) and data yield (1.27–2.15-fold) of HAdV samples, whereas the LNAS increased only the relative abundance but had no obvious enrichment on the data yield. Compared with standard nanopore sequencing, RPNAS detected the SARS-CoV-2 reads from two low-abundance samples, increased the coverage of SARS-CoV-2 by 36.68–98.92%, and reduced the time to achieve the same coverage. Our study highlights the utility of RPNAS for virus enrichment directly from clinical samples, with more on-target data and a shorter sequencing time to recover viral genomes. These findings promise to improve the sensitivity and timeliness of rapid identification and genomic surveillance of infectious diseases.
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Affiliation(s)
- Yanfeng Lin
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Yan Dai
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
| | - Yuqi Liu
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Zhuli Ren
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Hao Guo
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
- Nanjing Simcere Medical Laboratory Science Co., Ltd., Nanjing, China
| | - Zhenzhong Li
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
| | - Jinhui Li
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Kaiying Wang
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Lang Yang
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Shuang Zhang
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
- Institute of Health Service and Transfusion Medicine, Beijing, China
| | - Hongbo Liu
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Leili Jia
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Ming Ni
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
- Institute of Health Service and Transfusion Medicine, Beijing, China
- *Correspondence: Ming Ni,
| | - Peng Li
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
- Peng Li,
| | - Hongbin Song
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
- Hongbin Song,
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35
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Zhang L, Huang W, Zhang S, Li Q, Wang Y, Chen T, Jiang H, Kong D, Lv Q, Zheng Y, Ren Y, Liu P, Jiang Y, Chen Y. Rapid Detection of Bacterial Pathogens and Antimicrobial Resistance Genes in Clinical Urine Samples With Urinary Tract Infection by Metagenomic Nanopore Sequencing. Front Microbiol 2022; 13:858777. [PMID: 35655992 PMCID: PMC9152355 DOI: 10.3389/fmicb.2022.858777] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 04/11/2022] [Indexed: 12/24/2022] Open
Abstract
Urinary tract infections (UTIs) are among the most common acquired bacterial infections in humans. The current gold standard method for identification of uropathogens in clinical laboratories is cultivation. However, culture-based assays have substantial drawbacks, including long turnaround time and limited culturability of many potential pathogens. Nanopore sequencing technology can overcome these limitations and detect pathogens while also providing reliable predictions of drug susceptibility in clinical samples. Here, we optimized a metagenomic nanopore sequencing (mNPS) test for pathogen detection and identification in urine samples of 76 patients with acute uncomplicated UTIs. We first used twenty of these samples to show that library preparation by the PCR Barcoding Kit (PBK) led to the highest agreement of positive results with gold standard clinical culture tests, and enabled antibiotic resistance detection in downstream analyses. We then compared the detection results of mNPS with those of culture-based diagnostics and found that mNPS sensitivity and specificity of detection were 86.7% [95% confidence interval (CI), 73.5-94.1%] and 96.8% (95% CI, 82.4-99.9%), respectively, indicating that the mNPS method is a valid approach for rapid and specific detection of UTI pathogens. The mNPS results also performed well at predicting antibiotic susceptibility phenotypes. These results demonstrate that our workflow can accurately diagnose UTI-causative pathogens and enable successful prediction of drug-resistant phenotypes within 6 h of sample receipt. Rapid mNPS testing is thus a promising clinical diagnostic tool for infectious diseases, based on clinical urine samples from UTI patients, and shows considerable potential for application in other clinical infections.
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Affiliation(s)
- Lei Zhang
- College of Life Science, Yantai University, Yantai, China.,State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Wenhua Huang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Shengwei Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China.,Department of Clinical Laboratory, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Qian Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Ye Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Ting Chen
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Hua Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Decong Kong
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Qingyu Lv
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Yuling Zheng
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Yuhao Ren
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Peng Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Yongqiang Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Ying Chen
- College of Life Science, Yantai University, Yantai, China
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36
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Tanimoto IMF, Cressiot B, Greive SJ, Le Pioufle B, Bacri L, Pelta J. Focus on using nanopore technology for societal health, environmental, and energy challenges. NANO RESEARCH 2022; 15:9906-9920. [PMID: 35610982 PMCID: PMC9120803 DOI: 10.1007/s12274-022-4379-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/11/2022] [Accepted: 03/30/2022] [Indexed: 06/15/2023]
Abstract
With an increasing global population that is rapidly ageing, our society faces challenges that impact health, environment, and energy demand. With this ageing comes an accumulation of cellular changes that lead to the development of diseases and susceptibility to infections. This impacts not only the health system, but also the global economy. As the population increases, so does the demand for energy and the emission of pollutants, leading to a progressive degradation of our environment. This in turn impacts health through reduced access to arable land, clean water, and breathable air. New monitoring approaches to assist in environmental control and minimize the impact on health are urgently needed, leading to the development of new sensor technologies that are highly sensitive, rapid, and low-cost. Nanopore sensing is a new technology that helps to meet this purpose, with the potential to provide rapid point-of-care medical diagnosis, real-time on-site pollutant monitoring systems to manage environmental health, as well as integrated sensors to increase the efficiency and storage capacity of renewable energy sources. In this review we discuss how the powerful approach of nanopore based single-molecule, or particle, electrical promises to overcome existing and emerging societal challenges, providing new opportunities and tools for personalized medicine, localized environmental monitoring, and improved energy production and storage systems.
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Affiliation(s)
- Izadora Mayumi Fujinami Tanimoto
- LAMBE, CNRS, Univ Evry, Université Paris-Saclay, 91025 Evry-Courcouronnes, France
- LuMIn, CNRS, Institut d’Alembert, ENS Paris-Saclay, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | | | | | - Bruno Le Pioufle
- LuMIn, CNRS, Institut d’Alembert, ENS Paris-Saclay, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Laurent Bacri
- LAMBE, CNRS, Univ Evry, Université Paris-Saclay, 91025 Evry-Courcouronnes, France
| | - Juan Pelta
- LAMBE, CNRS, Univ Evry, Université Paris-Saclay, 91025 Evry-Courcouronnes, France
- LAMBE, CNRS, CY Cergy Paris Université, 95000 Cergy, France
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Si W, Yuan R, Wu G, Kan Y, Sha J, Chen Y, Zhang Y, Shen Y. Navigated Delivery of Peptide to the Nanopore Using In-Plane Heterostructures of MoS 2 and SnS 2 for Protein Sequencing. J Phys Chem Lett 2022; 13:3863-3872. [PMID: 35467868 DOI: 10.1021/acs.jpclett.2c00533] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The impressive success of DNA sequencing using nanopores makes it possible to realize nanopore based protein sequencing. Well-controlled capture and linear movement of the protein are essential for accurate nanopore protein sequencing. Here, by taking advantage of different binding affinities of protein to two isomorphic materials, we theoretically designed a heterostructual platform for delivering the unfolded peptide to the nanopore sensing region. Due to the stronger binding between the peptide and SnS2 compared to MoS2, the peptide would adsorb to the SnS2 nanostripe and keep its threadlike conformation in the MoS2/SnS2/MoS2 heterostructure. Through switching the direction of the applied electric field in real time, the peptide was strategically driven to move along the designed path to the target nanopore. The ionic current blockades were also found to be different as the compositions of the peptide were changed, indicating the possibility for differentiating different peptides using this platform.
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Affiliation(s)
- Wei Si
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211100, China
| | - Runyi Yuan
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211100, China
| | - Gensheng Wu
- School of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Yajing Kan
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211100, China
| | - Jingjie Sha
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211100, China
| | - Yunfei Chen
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211100, China
| | - Yin Zhang
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211100, China
| | - Yang Shen
- Department of Obstetrics and Gynaecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
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ASLAN FG, KAHRAMAN KILBAŞ EP, ALTINDİŞ M. COVID-19 Enfeksiyonlarında Dizi Analizi Yöntemlerine Genel Bakış. KOCAELI ÜNIVERSITESI SAĞLIK BILIMLERI DERGISI 2022. [DOI: 10.30934/kusbed.1052257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Ashcroft JW, Olayinka A, Ndodo N, Lewandowski K, Curran MD, Nwafor CD, Madubuike K, Bagnall H, Musa AS, Ahmad A, Akinpelu A, Adeleye A, Martin C, Akano A, Onoja M, Iniobong A, Ukponu W, Arinze C, Ilori E, Mba N, Gannon B, Ahumibe A, Ihekweazu C. Pathogens that Cause Illness Clinically Indistinguishable from Lassa Fever, Nigeria, 2018. Emerg Infect Dis 2022; 28:994-997. [PMID: 35226800 PMCID: PMC9045454 DOI: 10.3201/eid2805.211153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
During the 2018 Lassa fever outbreak in Nigeria, samples from patients with suspected Lassa fever but negative Lassa virus PCR results were processed through custom gene expression array cards and metagenomic sequencing. Results demonstrated no single etiology, but bacterial and viral pathogens (including mixed co-infections) were detected.
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40
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Hoang MTV, Irinyi L, Hu Y, Schwessinger B, Meyer W. Long-Reads-Based Metagenomics in Clinical Diagnosis With a Special Focus on Fungal Infections. Front Microbiol 2022; 12:708550. [PMID: 35069461 PMCID: PMC8770865 DOI: 10.3389/fmicb.2021.708550] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 12/03/2021] [Indexed: 12/12/2022] Open
Abstract
Identification of the causative infectious agent is essential in the management of infectious diseases, with the ideal diagnostic method being rapid, accurate, and informative, while remaining cost-effective. Traditional diagnostic techniques rely on culturing and cell propagation to isolate and identify the causative pathogen. These techniques are limited by the ability and the time required to grow or propagate an agent in vitro and the facts that identification based on morphological traits are non-specific, insensitive, and reliant on technical expertise. The evolution of next-generation sequencing has revolutionized genomic studies to generate more data at a cheaper cost. These are divided into short- and long-read sequencing technologies, depending on the length of reads generated during sequencing runs. Long-read sequencing also called third-generation sequencing emerged commercially through the instruments released by Pacific Biosciences and Oxford Nanopore Technologies, although relying on different sequencing chemistries, with the first one being more accurate both platforms can generate ultra-long sequence reads. Long-read sequencing is capable of entirely spanning previously established genomic identification regions or potentially small whole genomes, drastically improving the accuracy of the identification of pathogens directly from clinical samples. Long-read sequencing may also provide additional important clinical information, such as antimicrobial resistance profiles and epidemiological data from a single sequencing run. While initial applications of long-read sequencing in clinical diagnosis showed that it could be a promising diagnostic technique, it also has highlighted the need for further optimization. In this review, we show the potential long-read sequencing has in clinical diagnosis of fungal infections and discuss the pros and cons of its implementation.
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Affiliation(s)
- Minh Thuy Vi Hoang
- Molecular Mycology Research Laboratory, Centre for Infectious Diseases and Microbiology, Faculty of Medicine and Health, Sydney Medical School, Westmead Clinical School, The University of Sydney, Sydney, NSW, Australia
- Westmead Institute for Medical Research, Westmead, NSW, Australia
| | - Laszlo Irinyi
- Molecular Mycology Research Laboratory, Centre for Infectious Diseases and Microbiology, Faculty of Medicine and Health, Sydney Medical School, Westmead Clinical School, The University of Sydney, Sydney, NSW, Australia
- Westmead Institute for Medical Research, Westmead, NSW, Australia
- Sydney Infectious Disease Institute, The University of Sydney, Sydney, NSW, Australia
| | - Yiheng Hu
- Research School of Biology, Australia National University, Canberra, ACT, Australia
| | | | - Wieland Meyer
- Molecular Mycology Research Laboratory, Centre for Infectious Diseases and Microbiology, Faculty of Medicine and Health, Sydney Medical School, Westmead Clinical School, The University of Sydney, Sydney, NSW, Australia
- Westmead Institute for Medical Research, Westmead, NSW, Australia
- Sydney Infectious Disease Institute, The University of Sydney, Sydney, NSW, Australia
- Westmead Hospital (Research and Education Network), Westmead, NSW, Australia
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Cassidy H, Schuele L, Lizarazo-Forero E, Couto N, Rossen JWA, Friedrich AW, van Leer-Buter C, Niesters HGM. OUP accepted manuscript. Virus Evol 2022; 8:veab109. [PMID: 35317350 PMCID: PMC8932292 DOI: 10.1093/ve/veab109] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 12/16/2021] [Accepted: 02/16/2022] [Indexed: 11/12/2022] Open
Abstract
Chronic enterovirus infections can cause significant morbidity, particularly in immunocompromised patients. This study describes a fatal case associated with a chronic untypeable enterovirus infection in an immunocompromised patient admitted to a Dutch university hospital over nine months. We aimed to identify the enterovirus genotype responsible for the infection and to determine potential evolutionary changes. Long-read sequencing was performed using viral targeted sequence capture on four respiratory and one faecal sample. Phylogenetic analysis was performed using a maximum likelihood method, along with a root-to-tip regression and time-scaled phylogenetic analysis to estimate evolutionary changes between sample dates. Intra-host variant detection, using a Fixed Ploidy algorithm, and selection pressure, using a Fixed Effect Likelihood and a Mixed Effects Model of Evolution, were also used to explore the patient samples. Near-complete genomes of enterovirus C104 (EV-C104) were recovered in all respiratory samples but not in the faecal sample. The recovered genomes clustered with a recently reported EV-C104 from Belgium in August 2018. Phylodynamic analysis including ten available EV-C104 genomes, along with the patient sequences, estimated the most recent common ancestor to occur in the middle of 2005 with an overall estimated evolution rate of 2.97 × 10−3 substitutions per year. Although positive selection pressure was identified in the EV-C104 reference sequences, the genomes recovered from the patient samples alone showed an overall negative selection pressure in multiple codon sites along the genome. A chronic infection resulting in respiratory failure from a relatively rare enterovirus was observed in a transplant recipient. We observed an increase in single-nucleotide variations between sample dates from a rapidly declining patient, suggesting mutations are weakly deleterious and have not been purged during selection. This is further supported by the persistence of EV-C104 in the patient, despite the clearance of other viral infections. Next-generation sequencing with viral enrichment could be used to detect and characterise challenging samples when conventional workflows are insufficient.
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Affiliation(s)
| | | | - Erley Lizarazo-Forero
- Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Hanzeplein 1, Groningen 9713 GZ, The Netherlands
| | - Natacha Couto
- Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Hanzeplein 1, Groningen 9713 GZ, The Netherlands
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath BA2 7AY, UK
| | - John W A Rossen
- Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Hanzeplein 1, Groningen 9713 GZ, The Netherlands
- Department of Pathology, University of Utah School of Medicine, 15 North Medical Drive East, Salt Lake City, UT 84112, USA
| | - Alex W Friedrich
- Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Hanzeplein 1, Groningen 9713 GZ, The Netherlands
| | - Coretta van Leer-Buter
- Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Hanzeplein 1, Groningen 9713 GZ, The Netherlands
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Gauthier NPG, Nelson C, Bonsall MB, Locher K, Charles M, MacDonald C, Krajden M, Chorlton SD, Manges AR. Nanopore metagenomic sequencing for detection and characterization of SARS-CoV-2 in clinical samples. PLoS One 2021; 16:e0259712. [PMID: 34793508 PMCID: PMC8601544 DOI: 10.1371/journal.pone.0259712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 10/25/2021] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES The COVID-19 pandemic has underscored the need for rapid novel diagnostic strategies. Metagenomic Next-Generation Sequencing (mNGS) may allow for the detection of pathogens that can be missed in targeted assays. The goal of this study was to assess the performance of nanopore-based Sequence-Independent Single Primer Amplification (SISPA) for the detection and characterization of SARS-CoV-2. METHODS We performed mNGS on clinical samples and designed a diagnostic classifier that corrects for barcode crosstalk between specimens. Phylogenetic analysis was performed on genome assemblies. RESULTS Our assay yielded 100% specificity overall and 95.2% sensitivity for specimens with a RT-PCR cycle threshold value less than 30. We assembled 10 complete, and one near-complete genomes from 20 specimens that were classified as positive by mNGS. Phylogenetic analysis revealed that 10/11 specimens from British Columbia had a closest relative to another British Columbian specimen. We found 100% concordance between phylogenetic lineage assignment and Variant of Concern (VOC) PCR results. Our assay was able to distinguish between the Alpha and Gamma variants, which was not possible with the current standard VOC PCR being used in British Columbia. CONCLUSIONS This study supports future work examining the broader feasibility of nanopore mNGS as a diagnostic strategy for the detection and characterization of viral pathogens.
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Affiliation(s)
- Nick P G Gauthier
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Cassidy Nelson
- Mathematical Ecology Research Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Michael B Bonsall
- Mathematical Ecology Research Group, Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Kerstin Locher
- Division of Medical Microbiology, Vancouver General Hospital, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Marthe Charles
- Division of Medical Microbiology, Vancouver General Hospital, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Clayton MacDonald
- Division of Medical Microbiology, Vancouver General Hospital, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mel Krajden
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - Samuel D Chorlton
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- BugSeq Bioinformatics Inc, Vancouver, British Columbia, Canada
| | - Amee R Manges
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
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Jurasz H, Pawłowski T, Perlejewski K. Contamination Issue in Viral Metagenomics: Problems, Solutions, and Clinical Perspectives. Front Microbiol 2021; 12:745076. [PMID: 34745046 PMCID: PMC8564396 DOI: 10.3389/fmicb.2021.745076] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/17/2021] [Indexed: 12/16/2022] Open
Abstract
We describe the most common internal and external sources and types of contamination encountered in viral metagenomic studies and discuss their negative impact on sequencing results, particularly for low-biomass samples and clinical applications. We also propose some basic recommendations for reducing the background noise in viral shotgun metagenomic (SM) studies, which would limit the bias introduced by various classes of contaminants. Regardless of the specific viral SM protocol, contamination cannot be totally avoided; in particular, the issue of reagent contamination should always be addressed with high priority. There is an urgent need for the development and validation of standards for viral metagenomic studies especially if viral SM protocols will be more widely applied in diagnostics.
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Affiliation(s)
- Henryk Jurasz
- Department of Immunopathology of Infectious and Parasitic Diseases, Medical University of Warsaw, Warsaw, Poland
| | - Tomasz Pawłowski
- Division of Psychotherapy and Psychosomatic Medicine, Department of Psychiatry, Wrocław Medical University, Wrocław, Poland
| | - Karol Perlejewski
- Department of Immunopathology of Infectious and Parasitic Diseases, Medical University of Warsaw, Warsaw, Poland
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Floyd T, Banyard AC, Lean FZX, Byrne AMP, Fullick E, Whittard E, Mollett BC, Bexton S, Swinson V, Macrelli M, Lewis NS, Reid SM, Núñez A, Duff JP, Hansen R, Brown IH. Encephalitis and Death in Wild Mammals at a Rehabilitation Center after Infection with Highly Pathogenic Avian Influenza A(H5N8) Virus, United Kingdom. Emerg Infect Dis 2021; 27:2856-2863. [PMID: 34670647 PMCID: PMC8544989 DOI: 10.3201/eid2711.211225] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [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
We report a disease and mortality event involving swans, seals, and a fox at a wildlife rehabilitation center in the United Kingdom during late 2020. Five swans had onset of highly pathogenic avian influenza virus infection while in captivity. Subsequently, 5 seals and a fox died (or were euthanized) after onset of clinical disease. Avian-origin influenza A virus subtype H5N8 was retrospectively determined as the cause of disease. Infection in the seals manifested as seizures, and immunohistochemical and molecular testing on postmortem samples detected a neurologic distribution of viral products. The fox died overnight after sudden onset of inappetence, and postmortem tissues revealed neurologic and respiratory distribution of viral products. Live virus was isolated from the swans, seals, and the fox, and a single genetic change was detected as a potential adaptive mutation in the mammalian-derived viral sequences. No human influenza-like illness was reported in the weeks after the event.
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Szuttor K, Kreissl P, Holm C. A numerical investigation of analyte size effects in nanopore sensing systems. J Chem Phys 2021; 155:134902. [PMID: 34624966 DOI: 10.1063/5.0065085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
We investigate the ionic current modulation in DNA nanopore translocation setups by numerically solving the electrokinetic mean-field equations for an idealized model. Specifically, we study the dependence of the ionic current on the relative length of the translocating molecule. Our simulations show a significantly smaller ionic current for DNA molecules that are shorter than the pore at low salt concentrations. These effects can be ascribed to the polarization of the ion cloud along the DNA that leads to an opposing electric dipole field. Our results for DNA shine light on the observed discrepancy between infinite pore models and experimental data on various sized DNA complexes.
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Affiliation(s)
- Kai Szuttor
- Institute for Computational Physics, Universität Stuttgart, Allmandring 3, D-70569 Stuttgart, Germany
| | - Patrick Kreissl
- Institute for Computational Physics, Universität Stuttgart, Allmandring 3, D-70569 Stuttgart, Germany
| | - Christian Holm
- Institute for Computational Physics, Universität Stuttgart, Allmandring 3, D-70569 Stuttgart, Germany
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Wang X, Xu G, Liu X, Liu Y, Zhang S, Zhang Z. Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection. Cell Mol Immunol 2021; 18:2313-2324. [PMID: 34471261 PMCID: PMC8408367 DOI: 10.1038/s41423-021-00754-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 07/30/2021] [Indexed: 02/07/2023] Open
Abstract
In response to emerging infectious diseases, such as the recent pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is critical to quickly identify and understand responsible pathogens, risk factors, host immune responses, and pathogenic mechanisms at both the molecular and cellular levels. The recent development of multiomic technologies, including genomics, proteomics, metabolomics, and single-cell transcriptomics, has enabled a fast and panoramic grasp of the pathogen and the disease. Here, we systematically reviewed the major advances in the virology, immunology, and pathogenic mechanisms of SARS-CoV-2 infection that have been achieved via multiomic technologies. Based on well-established cohorts, omics-based methods can greatly enhance the mechanistic understanding of diseases, contributing to the development of new diagnostics, drugs, and vaccines for emerging infectious diseases, such as COVID-19.
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Affiliation(s)
- Xin Wang
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Gang Xu
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Xiaoju Liu
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Yang Liu
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Shuye Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
| | - Zheng Zhang
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong Province, China.
- Shenzhen Research Center for Communicable Disease Diagnosis and Treatment of Chinese Academy of Medical Science, Shenzhen, Guangdong Province, China.
- Guangdong Key Laboratory for Anti-infection Drug Quality Evaluation, Shenzhen, Guangdong Province, China.
- Shenzhen Bay Laboratory, Shenzhen, Guangdong Province, China.
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Xu Y, Lewandowski K, Downs LO, Kavanagh J, Hender T, Lumley S, Jeffery K, Foster D, Sanderson ND, Vaughan A, Morgan M, Vipond R, Carroll M, Peto T, Crook D, Walker AS, Matthews PC, Pullan ST. Nanopore metagenomic sequencing of influenza virus directly from respiratory samples: diagnosis, drug resistance and nosocomial transmission, United Kingdom, 2018/19 influenza season. ACTA ACUST UNITED AC 2021; 26. [PMID: 34240696 PMCID: PMC8268652 DOI: 10.2807/1560-7917.es.2021.26.27.2000004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
BackgroundInfluenza virus presents a considerable challenge to public health by causing seasonal epidemics and occasional pandemics. Nanopore metagenomic sequencing has the potential to be deployed for near-patient testing, providing rapid infection diagnosis, rationalising antimicrobial therapy, and supporting infection-control interventions.AimTo evaluate the applicability of this sequencing approach as a routine laboratory test for influenza in clinical settings.MethodsWe conducted Oxford Nanopore Technologies (Oxford, United Kingdom (UK)) metagenomic sequencing for 180 respiratory samples from a UK hospital during the 2018/19 influenza season, and compared results to routine molecular diagnostic standards (Xpert Xpress Flu/RSV assay; BioFire FilmArray Respiratory Panel 2 assay). We investigated drug resistance, genetic diversity, and nosocomial transmission using influenza sequence data.ResultsCompared to standard testing, Nanopore metagenomic sequencing was 83% (75/90) sensitive and 93% (84/90) specific for detecting influenza A viruses. Of 59 samples with haemagglutinin subtype determined, 40 were H1 and 19 H3. We identified an influenza A(H3N2) genome encoding the oseltamivir resistance S331R mutation in neuraminidase, potentially associated with an emerging distinct intra-subtype reassortant. Whole genome phylogeny refuted suspicions of a transmission cluster in a ward, but identified two other clusters that likely reflected nosocomial transmission, associated with a predominant community-circulating strain. We also detected other potentially pathogenic viruses and bacteria from the metagenome.ConclusionNanopore metagenomic sequencing can detect the emergence of novel variants and drug resistance, providing timely insights into antimicrobial stewardship and vaccine design. Full genome generation can help investigate and manage nosocomial outbreaks.
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Affiliation(s)
- Yifei Xu
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.,NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Kuiama Lewandowski
- Public Health England, National Infection Service, Porton Down, Salisbury, United Kingdom
| | - Louise O Downs
- Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom.,Nuffield Department of Medicine, Peter Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom
| | - James Kavanagh
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.,NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Thomas Hender
- Public Health England, National Infection Service, Porton Down, Salisbury, United Kingdom
| | - Sheila Lumley
- Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom.,Nuffield Department of Medicine, Peter Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom
| | - Katie Jeffery
- Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - Dona Foster
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.,NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Nicholas D Sanderson
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.,NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Ali Vaughan
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.,NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Marcus Morgan
- Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - Richard Vipond
- Public Health England, National Infection Service, Porton Down, Salisbury, United Kingdom
| | - Miles Carroll
- Public Health England, National Infection Service, Porton Down, Salisbury, United Kingdom
| | - Timothy Peto
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.,NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom.,Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - Derrick Crook
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.,NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom.,Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - A Sarah Walker
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.,NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Philippa C Matthews
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom.,Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom.,Nuffield Department of Medicine, Peter Medawar Building for Pathogen Research, University of Oxford, Oxford, United Kingdom
| | - Steven T Pullan
- Public Health England, National Infection Service, Porton Down, Salisbury, United Kingdom
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Brancaccio RN, Robitaille A, Dutta S, Rollison DE, Tommasino M, Gheit T. MinION nanopore sequencing and assembly of a complete human papillomavirus genome. J Virol Methods 2021; 294:114180. [PMID: 33965458 PMCID: PMC8223502 DOI: 10.1016/j.jviromet.2021.114180] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 03/26/2021] [Accepted: 05/03/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND The MinION sequencer belongs to the third generation of sequencing technology that allows for the generation of ultra-long reads, representing a potentially more effective approach to characterize entire viral genome sequences than other time-consuming and low-throughput methodologies. METHODS We report the use of the MinION nanopore sequencer to sequence the full-length genome of human papillomavirus (HPV)-ICB2 (7441 bp), which was previously characterized in our laboratory. Three independent MinION libraries were prepared and sequenced using either three consecutive 12 -h runs (Protocol A) or a single run of 48 h starting from a pool of three barcoded DNA libraries (Protocol B). A fully automated bioinformatics pipeline was developed for the reconstruction of the viral genome. RESULTS Protocols A and B generated 9,354,933 and 3,255,879 reads, respectively. Read length N50 values ranged between 6976 and 7360 nucleotides over the four sequencing runs. Bioinformatics analysis showed that both protocols allowed for the reconstruction of the whole viral genome, with pairwise percentages of identity to HPV-ICB2 of 100 % for protocol A and 99.98 % for protocol B. CONCLUSION Our results show that the use of the MinION nanopore sequencer represents an effective strategy for whole-genome sequencing of HPVs with a minimal error rate.
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Affiliation(s)
- Rosario N Brancaccio
- Early Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France
| | - Alexis Robitaille
- Early Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France
| | - Sankhadeep Dutta
- Chittaranjan National Cancer Institute, Department of Viral Associated Human Cancer, Kolkata, India
| | - Dana E Rollison
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Massimo Tommasino
- Early Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France
| | - Tarik Gheit
- Early Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France.
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A new COVID-19 detection method from human genome sequences using CpG island features and KNN classifier. ENGINEERING SCIENCE AND TECHNOLOGY, AN INTERNATIONAL JOURNAL 2021; 24. [PMCID: PMC8064761 DOI: 10.1016/j.jestch.2020.12.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Various viral epidemics have been detected such as the severe acute respiratory syndrome coronavirus and the Middle East respiratory syndrome coronavirus in the last two decades. The coronavirus disease 2019 (COVID-19) is a pandemic caused by a novel betacoronavirus called severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). After the rapid spread of COVID-19, many researchers have investigated diagnosis and treatment for this terrifying disease quickly. Identifying COVID-19 from the other types of coronaviruses is a difficult problem due to their genetic similarity. In this study, we propose a new efficient COVID-19 detection method based on the K-nearest neighbors (KNN) classifier using the complete genome sequences of human coronaviruses in the dataset recorded in 2019 Novel Coronavirus Resource. We also describe two features based on CpG island that efficiently detect COVID-19 cases. Thus, genome sequences including approximately 30,000 nucleotides can be represented by only two real numbers. The KNN method is a simple and effective non-parametric technique for solving classification problems. However, performance of the KNN depends on the distance measure used. We perform 19 distance metrics investigated in five categories to improve the performance of the KNN algorithm. Some efficient performance parameters are computed to evaluate the proposed method. The proposed method achieves 98.4% precision, 99.2% recall, 98.8% F-measure, and 98.4% accuracy in a few seconds when any L1 type metric is used as a distance measure in the KNN.
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d'Humières C, Salmona M, Dellière S, Leo S, Rodriguez C, Angebault C, Alanio A, Fourati S, Lazarevic V, Woerther PL, Schrenzel J, Ruppé E. The Potential Role of Clinical Metagenomics in Infectious Diseases: Therapeutic Perspectives. Drugs 2021; 81:1453-1466. [PMID: 34328626 PMCID: PMC8323086 DOI: 10.1007/s40265-021-01572-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2021] [Indexed: 12/24/2022]
Abstract
Clinical metagenomics (CMg) is the process of sequencing nucleic acid of clinical samples to obtain clinically relevant information such as the identification of microorganisms and their susceptibility to antimicrobials. Over the last decades, sequencing and bioinformatic solutions supporting CMg have much evolved and an increasing number of case reports and series covering various infectious diseases have been published. Metagenomics is a new approach to infectious disease diagnosis that is currently being developed and is certainly one of the most promising for the coming years. However, most CMg studies are retrospective, and few address the potential impact CMg could have on patient management, including initiation, adaptation, or cessation of antimicrobials. In this narrative review, we have discussed the potential role of CMg in bacteriology, virology, mycology, and parasitology. Several reports and case-series confirm that CMg is an innovative tool with which one can (i) identify more microorganisms than with conventional methods in a single test, (ii) obtain results within hours, and (iii) tailor the antimicrobial regimen of patients. However, the cost-efficiency of CMg and its real impact on patient management are still to be determined.
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Affiliation(s)
- Camille d'Humières
- Université de Paris, IAME, INSERM, 75018, Paris, France.,AP-HP, Hôpital Bichat, Laboratoire de Bactériologie, Hôpital Bichat-Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France
| | - Maud Salmona
- Unité de Paris, INSERM U976, Insight Team, 75010, Paris, France.,AP-HP, Hôpital Saint-Louis, Laboratoire de Virologie, 75010, Paris, France
| | - Sarah Dellière
- AP-HP, Hôpital Saint-Louis, Laboratoire de Parasitologie-Mycologie, 75010, Paris, France.,Molecular Mycology Unit, Institut Pasteur, CNRS UMR2000, 75015, Paris, France
| | - Stefano Leo
- Faculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.,Service of Infectious Diseases, Genomic Research Laboratory, Geneva University Hospitals, Geneva, Switzerland
| | - Christophe Rodriguez
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,INSERM U955, Université Paris-Est, 94000, Créteil, France
| | - Cécile Angebault
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,Université Paris Est Créteil, Ecole Nationale Vétérinaire d'Alfort, USC ANSES, EA7380 Dynamic, 94000, Créteil, France
| | - Alexandre Alanio
- AP-HP, Hôpital Saint-Louis, Laboratoire de Parasitologie-Mycologie, 75010, Paris, France.,Molecular Mycology Unit, Institut Pasteur, CNRS UMR2000, 75015, Paris, France
| | - Slim Fourati
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,INSERM U955, Université Paris-Est, 94000, Créteil, France
| | - Vladimir Lazarevic
- Faculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.,Service of Infectious Diseases, Genomic Research Laboratory, Geneva University Hospitals, Geneva, Switzerland
| | - Paul-Louis Woerther
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,Université Paris Est Créteil, Ecole Nationale Vétérinaire d'Alfort, USC ANSES, EA7380 Dynamic, 94000, Créteil, France
| | - Jacques Schrenzel
- Faculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.,Service of Infectious Diseases, Genomic Research Laboratory, Geneva University Hospitals, Geneva, Switzerland
| | - Etienne Ruppé
- Université de Paris, IAME, INSERM, 75018, Paris, France. .,AP-HP, Hôpital Bichat, Laboratoire de Bactériologie, Hôpital Bichat-Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France.
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