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Li J, Cheng R, Bian Z, Niu J, Xia J, Mao G, Liu H, Wu C, Hao C. Development of multiplex allele-specific RT-qPCR assays for differentiation of SARS-CoV-2 Omicron subvariants. Appl Microbiol Biotechnol 2024; 108:35. [PMID: 38183475 DOI: 10.1007/s00253-023-12941-2] [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: 08/07/2023] [Revised: 10/18/2023] [Accepted: 10/25/2023] [Indexed: 01/08/2024]
Abstract
Quick differentiation of current circulating variants and the emerging recombinant variants of SARS-CoV-2 is essential to monitor their transmissions. However, the widely applied gene sequencing method is time-consuming and costly especially when facing recombinant variants, because a large part or whole genome sequencing is required. Allele-specific reverse transcriptase real time RT-PCR (RT-qPCR) represents a quick and cost-effective method for SNP (single nucleotide polymorphism) genotyping and has been successfully applied for SARS-CoV-2 variant screening. In the present study, we developed a panel of 5 multiplex allele-specific RT-qPCR assays targeting 20 key mutations for quick differentiation of the Omicron subvariants (BA.1 to BA.5 and their descendants) and the recombinant variants (XBB.1 and XBB.1.5). Two parallel multiplex RT-qPCR reactions were designed to separately target the prototype allele and the mutated allele of each mutation in the allele-specific RT-qPCR assay. Optimal annealing temperatures, primer and probe dosage, and time for annealing/extension for each reaction were determined by multi-factor and multi-level orthogonal test. The variation of Cp (crossing point) values (ΔCp) between the two multiplex RT-qPCR reactions was applied to determine if a mutation occurs or not. SARS-CoV-2 subvariants and related recombinant variants were differentiated by their unique mutation patterns. The developed multiplex allele-specific RT-qPCR assays exhibited excellent analytical sensitivities (with limits of detection (LoDs) of 1.47-18.52 copies per reaction), wide linear detection ranges (109-100 copies per reaction), good amplification efficiencies (88.25 to 110.68%), excellent reproducibility (coefficient of variations (CVs) < 5% in both intra-assay and inter-assay tests), and good clinical performances (99.5-100% consistencies with Sanger sequencing). The developed multiplex allele-specific RT-qPCR assays in the present study provide an alternative tool for quick differentiation of the SARS-CoV-2 Omicron subvariants and their recombinant variants. KEY POINTS: • A panel of five multiplex allele-specific RT-qPCR assays for quick differentiation of 11 SARS-CoV-2 Omicron subvariants (BA.1, BA.2, BA.4, BA.5, and their descendants) and 2 recombinant variants (XBB.1 and XBB.1.5). • The developed assays exhibited good analytical sensitivities and reproducibility, wide linear detection ranges, and good clinical performances, providing an alternative tool for quick differentiation of the SARS-CoV-2 Omicron subvariants and their recombinant variants.
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Affiliation(s)
- Jianguo Li
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Institutes of Biomedical Sciences, Shanxi University, Taiyuan, 030006, People's Republic of China.
| | - Ruiling Cheng
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Institutes of Biomedical Sciences, Shanxi University, Taiyuan, 030006, People's Republic of China
| | - Zixin Bian
- College of Life Sciences, Shanxi University, Taiyuan, 030006, People's Republic of China
| | - Jiahui Niu
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Institutes of Biomedical Sciences, Shanxi University, Taiyuan, 030006, People's Republic of China
| | - Juan Xia
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Institutes of Biomedical Sciences, Shanxi University, Taiyuan, 030006, People's Republic of China
| | - Guoli Mao
- Shanxi Guoxin Caregeno Biotechnology Co., Ltd., Taiyuan, 030032, People's Republic of China
| | - Hulong Liu
- Shanxi Guoxin Caregeno Biotechnology Co., Ltd., Taiyuan, 030032, People's Republic of China
| | - Changxin Wu
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Institutes of Biomedical Sciences, Shanxi University, Taiyuan, 030006, People's Republic of China
| | - Chunyan Hao
- School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan, 030024, People's Republic of China.
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2
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Dabernig-Heinz J, Lohde M, Hölzer M, Cabal A, Conzemius R, Brandt C, Kohl M, Halbedel S, Hyden P, Fischer MA, Pietzka A, Daza B, Idelevich EA, Stöger A, Becker K, Fuchs S, Ruppitsch W, Steinmetz I, Kohler C, Wagner GE. A multicenter study on accuracy and reproducibility of nanopore sequencing-based genotyping of bacterial pathogens. J Clin Microbiol 2024; 62:e0062824. [PMID: 39158309 PMCID: PMC11389150 DOI: 10.1128/jcm.00628-24] [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: 04/26/2024] [Accepted: 07/25/2024] [Indexed: 08/20/2024] Open
Abstract
Nanopore sequencing has shown the potential to democratize genomic pathogen surveillance due to its ease of use and low entry cost. However, recent genotyping studies showed discrepant results compared to gold-standard short-read sequencing. Furthermore, although essential for widespread application, the reproducibility of nanopore-only genotyping remains largely unresolved. In our multicenter performance study involving five laboratories, four public health-relevant bacterial species were sequenced with the latest R10.4.1 flow cells and V14 chemistry. Core genome MLST analysis of over 500 data sets revealed highly strain-specific typing errors in all species in each laboratory. Investigation of the methylation-related errors revealed consistent DNA motifs at error-prone sites across participants at read level. Depending on the frequency of incorrect target reads, this either leads to correct or incorrect typing, whereby only minimal frequency deviations can randomly determine the final result. PCR preamplification, recent basecalling model updates and an optimized polishing strategy notably diminished the non-reproducible typing. Our study highlights the potential for new errors to appear with each newly sequenced strain and lays the foundation for computational approaches to reduce such typing errors. In conclusion, our multicenter study shows the necessity for a new validation concept for nanopore sequencing-based, standardized bacterial typing, where single nucleotide accuracy is critical.
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Affiliation(s)
- Johanna Dabernig-Heinz
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Mara Lohde
- Institute for Infectious Diseases and Infection Control, Jena University Hospital, Jena, Germany
| | - Martin Hölzer
- Genome Competence Center (MF1), Robert Koch Institute, Berlin, Germany
| | - Adriana Cabal
- Austrian Agency for Health and Food Safety, Vienna, Austria
| | | | - Christian Brandt
- Institute for Infectious Diseases and Infection Control, Jena University Hospital, Jena, Germany
| | - Matthias Kohl
- Medical and Life Sciences Faculty, Furtwangen University, Villingen-Schwenningen, Germany
| | - Sven Halbedel
- Nosocomial Pathogens and Antibiotic Resistances (FG13), Robert Koch Institute, Wernigerode, Germany
- Institute for Medical Microbiology and Hospital Hygiene, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Patrick Hyden
- Austrian Agency for Health and Food Safety, Vienna, Austria
| | - Martin A Fischer
- Enteropathogenic bacteria and Legionella (FG11), Consultant Laboratory for Listeria, Robert Koch Institute, Wernigerode, Germany
| | - Ariane Pietzka
- Austrian Agency for Health and Food Safety, Graz, Austria
| | - Beatriz Daza
- Austrian Agency for Health and Food Safety, Vienna, Austria
| | - Evgeny A Idelevich
- Friedrich Loeffler Institute for Medical Microbiology, F.-Sauerbruch-Str., Greifswald, Germany
| | - Anna Stöger
- Austrian Agency for Health and Food Safety, Vienna, Austria
| | - Karsten Becker
- Friedrich Loeffler Institute for Medical Microbiology, F.-Sauerbruch-Str., Greifswald, Germany
| | - Stephan Fuchs
- Genome Competence Center (MF1), Robert Koch Institute, Berlin, Germany
| | | | - Ivo Steinmetz
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Christian Kohler
- Friedrich Loeffler Institute for Medical Microbiology, F.-Sauerbruch-Str., Greifswald, Germany
| | - Gabriel E Wagner
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
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3
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Dong Y, Guo C, Wang J, Ye C, Min Q. Recent Advances in DNA Nanotechnology-Based Sensing Platforms for Rapid Virus Detection. Chembiochem 2024; 25:e202400230. [PMID: 38825565 DOI: 10.1002/cbic.202400230] [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: 03/26/2024] [Revised: 05/25/2024] [Accepted: 05/31/2024] [Indexed: 06/04/2024]
Abstract
Several major viral pandemics in history have significantly impacted the public health of human beings. The COVID-19 pandemic has further underscored the critical need for early detection and screening of infected individuals. However, current detection techniques are confronted with deficiencies in sensitivity and accuracy, restricting the capability of detecting trace amounts of viruses in human bodies and in the environments. The advent of DNA nanotechnology has opened up a feasible solution for rapid and sensitive virus determination. By harnessing the designability and addressability of DNA nanostructures, a range of rapid virus sensing platforms have been proposed. This review overviewed the recent progress, application, and prospect of DNA nanotechnology-based rapid virus detection platforms. Furthermore, the challenges and developmental prospects in this field were discussed.
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Affiliation(s)
- Yuxiang Dong
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, P. R. China
| | - Cheng Guo
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, P. R. China
| | - Jialing Wang
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, P. R. China
| | - Changqing Ye
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, P. R. China
| | - Qianhao Min
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, P. R. China
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4
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Cieśla M, Dybiec B, Krasowska M, Siwy Z, Strzelewicz A. Numerical Modeling of Anisotropic Particle Diffusion through a Cylindrical Channel. Molecules 2024; 29:3795. [PMID: 39202873 PMCID: PMC11356997 DOI: 10.3390/molecules29163795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Revised: 07/23/2024] [Accepted: 07/26/2024] [Indexed: 09/03/2024] Open
Abstract
The transport of molecules and particles through single pores is the basis of biological processes, including DNA and protein sequencing. As individual objects pass through a pore, they cause a transient change in the current that can be correlated with the object size, surface charge, and even chemical properties. The majority of experiments and modeling have been performed with spherical objects, while much less is known about the transport characteristics of aspherical particles, which would act as a model system, for example, for proteins and bacteria. The transport kinetics of aspherical objects is an especially important, yet understudied, problem in nanopore analytics. Here, using the Wiener process, we present a simplified model of the diffusion of rod-shaped particles through a cylindrical pore, and apply it to understand the translation and rotation of the particles as they pass through the pore. Specifically, we analyze the influence of the particles' geometrical characteristics on the effective diffusion type, the first passage time distribution, and the particles' orientation in the pore. Our model shows that thicker particles pass through the channel slower than thinner ones, while their lengths do not affect the passage time. We also demonstrate that both spherical and rod-shaped particles undergo normal diffusion, and the first passage time distribution follows an exponential asymptotics. The model provides guidance on how the shape of the particle can be modified to achieve an optimal passage time.
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Affiliation(s)
- Michał Cieśla
- Institute of Theoretical Physics and Mark Kac Center for Complex Systems Research, Jagiellonian University, ul. St. Łojasiewicza 11, 30-348 Kraków, Poland;
| | - Bartłomiej Dybiec
- Institute of Theoretical Physics and Mark Kac Center for Complex Systems Research, Jagiellonian University, ul. St. Łojasiewicza 11, 30-348 Kraków, Poland;
| | - Monika Krasowska
- Faculty of Chemistry, Silesian University of Technology, Strzody 9, 44-100 Gliwice, Poland; (M.K.); (A.S.)
| | - Zuzanna Siwy
- Department of Physics and Astronomy, University of California, Irvine, CA 92697, USA;
| | - Anna Strzelewicz
- Faculty of Chemistry, Silesian University of Technology, Strzody 9, 44-100 Gliwice, Poland; (M.K.); (A.S.)
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5
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Jansz N, Faulkner GJ. Viral genome sequencing methods: benefits and pitfalls of current approaches. Biochem Soc Trans 2024; 52:1431-1447. [PMID: 38747720 PMCID: PMC11346438 DOI: 10.1042/bst20231322] [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: 02/22/2024] [Revised: 04/30/2024] [Accepted: 05/02/2024] [Indexed: 06/27/2024]
Abstract
Whole genome sequencing of viruses provides high-resolution molecular insights, enhancing our understanding of viral genome function and phylogeny. Beyond fundamental research, viral sequencing is increasingly vital for pathogen surveillance, epidemiology, and clinical applications. As sequencing methods rapidly evolve, the diversity of viral genomics applications and catalogued genomes continues to expand. Advances in long-read, single molecule, real-time sequencing methodologies present opportunities to sequence contiguous, haplotype resolved viral genomes in a range of research and applied settings. Here we present an overview of nucleic acid sequencing methods and their applications in studying viral genomes. We emphasise the advantages of different viral sequencing approaches, with a particular focus on the benefits of third-generation sequencing technologies in elucidating viral evolution, transmission networks, and pathogenesis.
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Affiliation(s)
- Natasha Jansz
- Mater Research Institute - University of Queensland, TRI Building, Woolloongabba, QLD 4102, Australia
| | - Geoffrey J. Faulkner
- Mater Research Institute - University of Queensland, TRI Building, Woolloongabba, QLD 4102, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia
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6
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Cumlin T, Karlsson I, Haars J, Rosengren M, Lennerstrand J, Pimushyna M, Feuk L, Ladenvall C, Kaden R. From SARS-CoV-2 to Global Preparedness: A Graphical Interface for Standardised High-Throughput Bioinformatics Analysis in Pandemic Scenarios and Surveillance of Drug Resistance. Int J Mol Sci 2024; 25:6645. [PMID: 38928350 PMCID: PMC11204113 DOI: 10.3390/ijms25126645] [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: 05/06/2024] [Revised: 06/04/2024] [Accepted: 06/15/2024] [Indexed: 06/28/2024] Open
Abstract
The COVID-19 pandemic highlighted the need for a rapid, convenient, and scalable diagnostic method for detecting a novel pathogen amidst a global pandemic. While command-line interface tools offer automation for SARS-CoV-2 Oxford Nanopore Technology sequencing data analysis, they are inapplicable to users with limited programming skills. A solution is to establish such automated workflows within a graphical user interface software. We developed two workflows in the software Geneious Prime 2022.1.1, adapted for data obtained from the Midnight and Artic's nCoV-2019 sequencing protocols. Both workflows perform trimming, read mapping, consensus generation, and annotation on SARS-CoV-2 Nanopore sequencing data. Additionally, one workflow includes phylogenetic assignment using the bioinformatic tools pangolin and Nextclade as plugins. The basic workflow was validated in 2020, adhering to the requirements of the European Centre for Disease Prevention and Control for SARS-CoV-2 sequencing and analysis. The enhanced workflow, providing phylogenetic assignment, underwent validation at Uppsala University Hospital by analysing 96 clinical samples. It provided accurate diagnoses matching the original results of the basic workflow while also reducing manual clicks and analysis time. These bioinformatic workflows streamline SARS-CoV-2 Nanopore data analysis in Geneious Prime, saving time and manual work for operators lacking programming knowledge.
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Affiliation(s)
- Tomas Cumlin
- Department of Medical Sciences, Section for Clinical Microbiology, Uppsala University, Akademiska Sjukhuset Entrance 40, 751 85 Uppsala, Sweden
| | - Ida Karlsson
- Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
| | - Jonathan Haars
- Department of Medical Sciences, Section for Clinical Microbiology, Uppsala University, Akademiska Sjukhuset Entrance 40, 751 85 Uppsala, Sweden
| | - Maria Rosengren
- Department of Medical Sciences, Section for Clinical Microbiology, Uppsala University, Akademiska Sjukhuset Entrance 40, 751 85 Uppsala, Sweden
| | - Johan Lennerstrand
- Department of Medical Sciences, Section for Clinical Microbiology, Uppsala University, Akademiska Sjukhuset Entrance 40, 751 85 Uppsala, Sweden
| | - Maryna Pimushyna
- Department of Medical Sciences, Section for Clinical Microbiology, Uppsala University, Akademiska Sjukhuset Entrance 40, 751 85 Uppsala, Sweden
| | - Lars Feuk
- National Genomics Infrastructure Uppsala, Uppsala University, 751 08 Uppsala, Sweden
- Department of Immunology, Genetics and Pathology, Uppsala University, 751 08 Uppsala, Sweden
| | - Claes Ladenvall
- Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
- Department of Immunology, Genetics and Pathology, Uppsala University, 751 08 Uppsala, Sweden
| | - Rene Kaden
- Department of Medical Sciences, Section for Clinical Microbiology, Uppsala University, Akademiska Sjukhuset Entrance 40, 751 85 Uppsala, Sweden
- Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, 751 85 Uppsala, Sweden
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7
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Xu X, Deng Y, Ding J, Tang Q, Lin Y, Zheng X, Zhang T. High-resolution and real-time wastewater viral surveillance by Nanopore sequencing. WATER RESEARCH 2024; 256:121623. [PMID: 38657304 DOI: 10.1016/j.watres.2024.121623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/27/2024] [Accepted: 04/15/2024] [Indexed: 04/26/2024]
Abstract
Wastewater genomic sequencing stands as a pivotal complementary tool for viral surveillance in populations. While long-read Nanopore sequencing is a promising platform to provide real-time genomic data, concerns over the sequencing accuracy of the earlier Nanopore versions have somewhat restrained its widespread application in wastewater analysis. Here, we evaluate the latest improved version of Nanopore sequencing (R10.4.1), using SARS-CoV-2 as the model infectious virus, to demonstrate its effectiveness in wastewater viral monitoring. By comparing amplicon lengths of 400 bp and 1200 bp, we revealed that shorter PCR amplification is more suitable for wastewater samples due to viral genome fragmentation. Utilizing mock wastewater samples, we validated the reliability of Nanopore sequencing for variant identification by comparing it with Illumina sequencing results. The strength of Nanopore sequencing in generating real-time genomic data for providing early warning signals was also showcased, indicating that as little as 0.001 Gb of data can provide accurate results for variant prevalence. Our evaluation also identified optimal alteration frequency cutoffs (>50 %) for precise mutation profiling, achieving >99 % precision in detecting single nucleotide variants (SNVs) and insertions/deletions (indels). Monitoring two major wastewater treatment plants in Hong Kong from September 2022 to April 2023, covering over 4.5 million population, we observed a transition in dominant variants from BA.5 to XBB lineages, with XBB.1.5 being the most prevalent variants. Mutation detection also highlighted the potential of wastewater Nanopore sequencing in uncovering novel mutations and revealed links between signature mutations and specific variants. This study not only reveals the environmental implications of Nanopore sequencing in SARS-CoV-2 surveillance but also underscores its potential in broader applications including environmental health monitoring of other epidemic viruses, which could significantly enhance the field of wastewater-based epidemiology.
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Affiliation(s)
- Xiaoqing Xu
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Yu Deng
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Jiahui Ding
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Qinling Tang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Yunqi Lin
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Xiawan Zheng
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region; School of Public Health, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region.
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8
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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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9
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Lin X, Chen H, Wu G, Zhao J, Zhang Y, Sha J, Si W. Selective Capture and Manipulation of DNA through Double Charged Nanopores. J Phys Chem Lett 2024:5120-5129. [PMID: 38709198 DOI: 10.1021/acs.jpclett.4c00672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
In the past few decades, nanometer-scale pores have been employed as powerful tools for sensing biological molecules. Owing to its unique structure and properties, solid-state nanopores provide interesting opportunities for the development of DNA sequencing technology. Controlling DNA translocation in nanopores is an important means of improving the accuracy of sequencing. Here we present a proof of principle study of accelerating DNA captured across targeted graphene nanopores using surface charge density and find the intrinsic mechanism of the combination of electroosmotic flow induced by charges of nanopore and electrostatic attraction/repulsion between the nanopore and ssDNA. The theoretical study performed here provides a new means for controlling DNA transport dynamics and makes better and cheaper application of graphene in molecular sequencing.
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Affiliation(s)
- Xiaojing Lin
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211100, China
| | - Haonan Chen
- 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
| | - Jiajia Zhao
- Department of Pharmacology, Key Laboratory of Neuropsychiatric Diseases, China Pharmaceutical University, Nanjing 211198, China
| | - Yin Zhang
- 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
| | - Wei Si
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, School of Mechanical Engineering, Southeast University, Nanjing 211100, China
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10
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Adewusi OO, Waldner CL, Hanington PC, Hill JE, Freeman CN, Otto SJG. Laboratory tools for the direct detection of bacterial respiratory infections and antimicrobial resistance: a scoping review. J Vet Diagn Invest 2024; 36:400-417. [PMID: 38456288 PMCID: PMC11110769 DOI: 10.1177/10406387241235968] [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: 03/09/2024] Open
Abstract
Rapid laboratory tests are urgently required to inform antimicrobial use in food animals. Our objective was to synthesize knowledge on the direct application of long-read metagenomic sequencing to respiratory samples to detect bacterial pathogens and antimicrobial resistance genes (ARGs) compared to PCR, loop-mediated isothermal amplification, and recombinase polymerase amplification. Our scoping review protocol followed the Joanna Briggs Institute and PRISMA Scoping Review reporting guidelines. Included studies reported on the direct application of these methods to respiratory samples from animals or humans to detect bacterial pathogens ±ARGs and included turnaround time (TAT) and analytical sensitivity. We excluded studies not reporting these or that were focused exclusively on bioinformatics. We identified 5,636 unique articles from 5 databases. Two-reviewer screening excluded 3,964, 788, and 784 articles at 3 levels, leaving 100 articles (19 animal and 81 human), of which only 7 studied long-read sequencing (only 1 in animals). Thirty-two studies investigated ARGs (only one in animals). Reported TATs ranged from minutes to 2 d; steps did not always include sample collection to results, and analytical sensitivity varied by study. Our review reveals a knowledge gap in research for the direct detection of bacterial respiratory pathogens and ARGs in animals using long-read metagenomic sequencing. There is an opportunity to harness the rapid development in this space to detect multiple pathogens and ARGs on a single sequencing run. Long-read metagenomic sequencing tools show potential to address the urgent need for research into rapid tests to support antimicrobial stewardship in food animal production.
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Affiliation(s)
- Olufunto O. Adewusi
- HEAT-AMR (Human-Environment-Animal Transdisciplinary Antimicrobial Resistance) Research Group, University of Alberta, Edmonton, AB, Canada
- School of Public Health, University of Alberta, Edmonton, AB, Canada
| | - Cheryl L. Waldner
- Departments of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | | | - Janet E. Hill
- Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Claire N. Freeman
- Departments of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Simon J. G. Otto
- HEAT-AMR (Human-Environment-Animal Transdisciplinary Antimicrobial Resistance) Research Group, University of Alberta, Edmonton, AB, Canada
- Healthy Environments Thematic Area Lead, Centre for Healthy Communities, University of Alberta, Edmonton, AB, Canada
- School of Public Health, University of Alberta, Edmonton, AB, Canada
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11
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Vigil K, D'Souza N, Bazner J, Cedraz FMA, Fisch S, Rose JB, Aw TG. Long-term monitoring of SARS-CoV-2 variants in wastewater using a coordinated workflow of droplet digital PCR and nanopore sequencing. WATER RESEARCH 2024; 254:121338. [PMID: 38430753 DOI: 10.1016/j.watres.2024.121338] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 02/12/2024] [Accepted: 02/17/2024] [Indexed: 03/05/2024]
Abstract
Quantitative polymerase chain reaction (PCR) and genome sequencing are important methods for wastewater surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The reverse transcription-droplet digital PCR (RT-ddPCR) is a highly sensitive method for quantifying SARS-CoV-2 RNA in wastewater samples to track the trends of viral activity levels but cannot identify new variants. It also takes time to develop new PCR-based assays targeting variants of interest. Whole genome sequencing (WGS) can be used to monitor known and new SARS-CoV-2 variants, but it is generally not quantitative. Several short-read sequencing techniques can be expensive and might experience delayed turnaround times when outsourced due to inadequate in-house resources. Recently, a portable nanopore sequencing system offers an affordable and real-time method for sequencing SARS-CoV-2 variants in wastewater. This technology has the potential to enable swift response to disease outbreaks without relying on clinical sequencing results. In addressing concerns related to rapid turnaround time and accurate variant analysis, both RT-ddPCR and nanopore sequencing methods were employed to monitor the emergence of SARS-CoV-2 variants in wastewater. This surveillance was conducted at 23 sewer maintenance hole sites and five wastewater treatment plants in Michigan from 2020 to 2022. In 2020, the wastewater samples were dominated by the parental variants (20A, 20C and 20 G), followed by 20I (Alpha, B.1.1.7) in early 2021 and the Delta variant of concern (VOC) in late 2021. For the year 2022, Omicron variants dominated. Nanopore sequencing has the potential to validate suspected variant cases that were initially undetermined by RT-ddPCR assays. The concordance rate between nanopore sequencing and RT-ddPCR assays in identifying SARS-CoV-2 variants to the clade-level was 76.9%. Notably, instances of disagreement between the two methods were most prominent in the identification of the parental and Omicron variants. We also showed that sequencing wastewater samples with SARS-CoV-2 N gene concentrations of >104 GC/100 ml as measured by RT-ddPCR improve genome recovery and coverage depth using MinION device. RT-ddPCR was better at detecting key spike protein mutations A67V, del69-70, K417N, L452R, N501Y, N679K, and R408S (p-value <0.05) as compared to nanopore sequencing. It is suggested that RT-ddPCR and nanopore sequencing should be coordinated in wastewater surveillance where RT-ddPCR can be used as a preliminary quantification method and nanopore sequencing as the confirmatory method for the detection of variants or identification of new variants. The RT-ddPCR and nanopore sequencing methods reported here can be adopted as a reliable in-house analysis of SARS-CoV-2 in wastewater for rapid community level surveillance and public health response.
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Affiliation(s)
- Katie Vigil
- Department of Environmental Health Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2100, New Orleans, LA 70112, United States
| | - Nishita D'Souza
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan, United States
| | - Julia Bazner
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan, United States
| | - Fernanda Mac-Allister Cedraz
- Department of Environmental Health Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2100, New Orleans, LA 70112, United States
| | - Samuel Fisch
- Department of Environmental Health Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2100, New Orleans, LA 70112, United States
| | - Joan B Rose
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan, United States
| | - Tiong Gim Aw
- Department of Environmental Health Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2100, New Orleans, LA 70112, United States.
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12
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Frumence E, Wilkinson DA, Klitting R, Vincent M, Mnemosyme N, Grard G, Traversier N, Li-Pat-Yuen G, Heaugwane D, Souply L, Giry C, Paty MC, Collet L, Gérardin P, Thouillot F, De Lamballerie X, Jaffar-Bandjee MC. Dynamics of emergence and genetic diversity of dengue virus in Reunion Island from 2012 to 2022. PLoS Negl Trop Dis 2024; 18:e0012184. [PMID: 38768248 PMCID: PMC11142707 DOI: 10.1371/journal.pntd.0012184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 05/31/2024] [Accepted: 05/01/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Dengue is a major public health concern in Reunion Island, marked by recurrent epidemics, including successive outbreaks of dengue virus serotypes 1 and 2 (DENV1 and DENV2) with over 70,000 cases confirmed since 2017. METHODOLOGY/PRINCIPAL FINDINGS In this study, we used Oxford Nanopore NGS technology for sequencing virologically-confirmed samples and clinical isolates collected between 2012 and 2022 to investigate the molecular epidemiology and evolution of DENV in Reunion Island. Here, we generated and analyzed a total of 499 DENV1, 360 DENV2, and 18 DENV3 sequences. By phylogenetic analysis, we show that different genotypes and variants of DENV have circulated in the past decade that likely originated from Seychelles, Mayotte and Southeast Asia and highly affected areas in Asia and Africa. CONCLUSIONS/SIGNIFICANCE DENV sequences from Reunion Island exhibit a high genetic diversity which suggests regular introductions of new viral lineages from various Indian Ocean islands. The insights from our phylogenetic analysis may inform local health authorities about the endemicity of DENV variants circulating in Reunion Island and may improve dengue management and surveillance. This work emphasizes the importance of strong local coordination and collaboration to inform public health stakeholders in Reunion Island, neighboring areas, and mainland France.
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Affiliation(s)
- Etienne Frumence
- Centre National de Référence Arbovirus Associé, CHU de la Réunion Site Nord, Saint-Denis, Réunion, France
- Laboratoire de microbiologie, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
| | - David A. Wilkinson
- UMR ASTRE, CIRAD, INRAE, Université de Montpellier, Plateforme technologique CYROI, Sainte-Clotilde, Réunion, France
| | - Raphaelle Klitting
- Unité des Virus Émergents (UVE), Aix-Marseille Univ, IRD 190, INSERM 1207, Marseille, France
- CNR des Arbovirus, Marseille, France
| | | | - Nicolas Mnemosyme
- Laboratoire de microbiologie, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
| | | | - Nicolas Traversier
- Centre National de Référence Arbovirus Associé, CHU de la Réunion Site Nord, Saint-Denis, Réunion, France
- Laboratoire de microbiologie, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
| | - Ghislaine Li-Pat-Yuen
- Centre National de Référence Arbovirus Associé, CHU de la Réunion Site Nord, Saint-Denis, Réunion, France
- Laboratoire de microbiologie, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
| | - Diana Heaugwane
- Laboratoire de microbiologie, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
| | - Laurent Souply
- Laboratoire de microbiologie, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
| | - Claude Giry
- Centre National de Référence Arbovirus Associé, CHU de la Réunion Site Nord, Saint-Denis, Réunion, France
- Laboratoire de microbiologie, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
| | | | | | | | - Patrick Gérardin
- INSERM CIC 1410, CHU de la Réunion, Saint-Pierre, Réunion, France
| | | | - Xavier De Lamballerie
- Unité des Virus Émergents (UVE), Aix-Marseille Univ, IRD 190, INSERM 1207, Marseille, France
- CNR des Arbovirus, Marseille, France
| | - Marie-Christine Jaffar-Bandjee
- Centre National de Référence Arbovirus Associé, CHU de la Réunion Site Nord, Saint-Denis, Réunion, France
- Laboratoire de microbiologie, CHU de la Réunion-Site Nord, Saint-Denis, Réunion, France
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13
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Ramalingam G, Muthukumar A, Sivadoss R, Rajan G, Aridass D, Murugesan A, Subramani K, Ganesan ST. Genomic epidemiology of severe acute respiratory syndrome coronavirus 2 from Theni, Tamil Nadu. J Family Med Prim Care 2024; 13:1727-1733. [PMID: 38948575 PMCID: PMC11213428 DOI: 10.4103/jfmpc.jfmpc_1698_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/06/2023] [Accepted: 12/20/2023] [Indexed: 07/02/2024] Open
Abstract
Introduction The coronavirus disease 2019 (COVID-19) is a viral infection characterized by respiratory and gastrointestinal symptoms. The causative agent of this infection is the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The genomic study helps in understanding the pathogenesis, epidemiology, and the development of therapeutic and preventive strategies in the combat against COVID-19. Materials and Methods Nasopharyngeal and oropharyngeal swab samples were collected from asymptomatic and symptomatic patients during the time period of 2021-2022 for the detection of SARS-CoV-2 by employing real-time reverse transcriptase, cDNA synthesis, whole-genome sequencing by next-genome sequencing, analysis of SARS-CoV-2 sequence data and lineage and variant of concern assignment along with phylogenetic analysis. Results Lineages BA.2.10 and BA.4.1.1 clustered with genomes from Senegal suggested the spread of infections. Similarly, high clustering among delta samples during the second wave showed possible importation and subsequent spread via local transmission. Conclusions Studies like these are important to understand the characteristics and origins of locally circulating SARS-CoV-2 diversity in order to prevent further spread.
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Affiliation(s)
- Gopinath Ramalingam
- Department of Microbiology, Govt. Theni Medical College, Theni, Tamil Nadu, India
| | - Arundadhi Muthukumar
- Department of Microbiology, Govt. Theni Medical College, Theni, Tamil Nadu, India
| | - Raju Sivadoss
- Deputy Director (SPHL), State Public Health Laboratory, Chennai, Tamil Nadu, India
| | - Gopinathan Rajan
- Department of Microbiology, Govt. Theni Medical College, Theni, Tamil Nadu, India
| | - Dhanasezhian Aridass
- Department of Microbiology, Govt. Theni Medical College, Theni, Tamil Nadu, India
| | - Amudhan Murugesan
- Department of Microbiology, Govt. Theni Medical College, Theni, Tamil Nadu, India
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14
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Gaston JM, Alm EJ, Zhang AN. Fast and accurate variant identification tool for sequencing-based studies. BMC Biol 2024; 22:90. [PMID: 38644496 PMCID: PMC11034086 DOI: 10.1186/s12915-024-01891-4] [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: 11/03/2023] [Accepted: 04/17/2024] [Indexed: 04/23/2024] Open
Abstract
BACKGROUND Accurate identification of genetic variants, such as point mutations and insertions/deletions (indels), is crucial for various genetic studies into epidemic tracking, population genetics, and disease diagnosis. Genetic studies into microbiomes often require processing numerous sequencing datasets, necessitating variant identifiers with high speed, accuracy, and robustness. RESULTS We present QuickVariants, a bioinformatics tool that effectively summarizes variant information from read alignments and identifies variants. When tested on diverse bacterial sequencing data, QuickVariants demonstrates a ninefold higher median speed than bcftools, a widely used variant identifier, with higher accuracy in identifying both point mutations and indels. This accuracy extends to variant identification in virus samples, including SARS-CoV-2, particularly with significantly fewer false negative indels than bcftools. The high accuracy of QuickVariants is further demonstrated by its detection of a greater number of Omicron-specific indels (5 versus 0) and point mutations (61 versus 48-54) than bcftools in sewage metagenomes predominated by Omicron variants. Much of the reduced accuracy of bcftools was attributable to its misinterpretation of indels, often producing false negative indels and false positive point mutations at the same locations. CONCLUSIONS We introduce QuickVariants, a fast, accurate, and robust bioinformatics tool designed for identifying genetic variants for microbial studies. QuickVariants is available at https://github.com/caozhichongchong/QuickVariants .
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Affiliation(s)
| | - Eric J Alm
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA
- Department of Biological Engineering, Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, USA
| | - An-Ni Zhang
- Department of Biological Engineering, Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, USA.
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15
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Berleant JD, Banal JL, Rao DK, Bathe M. Scalable search of massively pooled nucleic acid samples enabled by a molecular database query language. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.12.24305660. [PMID: 38699348 PMCID: PMC11064994 DOI: 10.1101/2024.04.12.24305660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
The surge in nucleic acid analytics requires scalable storage and retrieval systems akin to electronic databases used to organize digital data. Such a system could transform disease diagnosis, ecological preservation, and molecular surveillance of biothreats. Current storage systems use individual containers for nucleic acid samples, requiring single-sample retrieval that falls short compared with digital databases that allow complex and combinatorial data retrieval on aggregated data. Here, we leverage protective microcapsules with combinatorial DNA labeling that enables arbitrary retrieval on pooled biosamples analogous to Structured Query Languages. Ninety-six encapsulated pooled mock SARS-CoV-2 genomic samples barcoded with patient metadata are used to demonstrate queries with simultaneous matches to sample collection date ranges, locations, and patient health statuses, illustrating how such flexible queries can be used to yield immunological or epidemiological insights. The approach applies to any biosample database labeled with orthogonal barcodes, enabling complex post-hoc analysis, for example, to study global biothreat epidemiology.
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Affiliation(s)
- Joseph D. Berleant
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - James L. Banal
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Present address: Cache DNA, Inc. 733 Industrial Rd., San Carlos, CA 94070 USA
| | | | - Mark Bathe
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02139 USA
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16
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Tran DH, Do HDK, Tran HT, Pham TNM, Nguyen HD, Linh HT, Cuong HQ, Vu MT, Phung HTT. Rapid identification of SARS-CoV-2 strains via isothermal enzymatic recombinase amplification and nanopore sequencing. Arch Virol 2024; 169:87. [PMID: 38565796 DOI: 10.1007/s00705-024-06012-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 01/28/2024] [Indexed: 04/04/2024]
Abstract
Surveillance of the SARS-CoV-2 genome has become a crucial technique in the management of COVID-19, aiding the pandemic response and supporting effective public health interventions. Typically, whole-genomic sequencing is used along with PCR-based target enrichment techniques to identify SARS-CoV-2 variants, which is a complicated and time-consuming process that requires central laboratory facilities. Thus, there is an urgent need to develop rapid and cost-effective tools for precise on-site detection and identification of SARS-CoV-2 strains. In this study, we demonstrate the rapid diagnosis of COVID-19 and identification of SARS-CoV-2 variants by amplification and sequencing of the entire SARS-CoV-2 S gene using isothermal enzymatic recombinase amplification combined with the advanced Oxford nanopore sequencing technique. The entire procedure, from sampling to sequencing, takes less than 8 hours and can be performed with limited resources. The newly developed method has noteworthy implications for examining the transmission dynamics of the virus, detecting novel genetic variants, and assessing the effect of mutations on diagnostic approaches, antiviral treatments, and vaccines.
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Affiliation(s)
- Diem Hong Tran
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | - Hoang Dang Khoa Do
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | - Hau Thi Tran
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | | | - Hoang Danh Nguyen
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | - Hoang Thuy Linh
- Medical Device Testing Center, Pasteur Institute, Ho Chi Minh City, Vietnam
- University Medical Center, Ho Chi Minh City, Vietnam
| | - Hoang Quoc Cuong
- Directorial Board, Pasteur Institute, Ho Chi Minh City, Vietnam
- Department of Health, Can Tho City, Vietnam
| | - Minh Thiet Vu
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam.
| | - Huong Thi Thu Phung
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam.
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17
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Wang M, Wang J, Ren Y, Lu L, Xiong W, Li L, Xu S, Tang M, Yuan Y, Xie Y, Li W, Chen L, Zhou D, Ying B, Li J. Current clinical findings of acute neurological syndromes after SARS-CoV-2 infection. MedComm (Beijing) 2024; 5:e508. [PMID: 38463395 PMCID: PMC10924641 DOI: 10.1002/mco2.508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 01/25/2024] [Accepted: 02/02/2024] [Indexed: 03/12/2024] Open
Abstract
Neuro-COVID, a condition marked by persistent symptoms post-COVID-19 infection, notably affects various organs, with a particular focus on the central nervous system (CNS). Despite scant evidence of SARS-CoV-2 invasion in the CNS, the increasing incidence of Neuro-COVID cases indicates the onset of acute neurological symptoms early in infection. The Omicron variant, distinguished by heightened neurotropism, penetrates the CNS via the olfactory bulb. This direct invasion induces inflammation and neuronal damage, emphasizing the need for vigilance regarding potential neurological complications. Our multicenter study represents a groundbreaking revelation, documenting the definite presence of SARS-CoV-2 in the cerebrospinal fluid (CSF) of a significant proportion of Neuro-COVID patients. Furthermore, notable differences emerged between RNA-CSF-positive and negative patients, encompassing aspects such as blood-brain barrier integrity, extent of neuronal damage, and the activation status of inflammation. Despite inherent limitations, this research provides pivotal insights into the intricate interplay between SARS-CoV-2 and the CNS, underscoring the necessity for ongoing research to fully comprehend the virus's enduring effects on the CNS. The findings underscore the urgency of continuous investigation Neuro-COVID to unravel the complexities of this relationship, and pivotal in addressing the long-term consequences of COVID-19 on neurological health.
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Affiliation(s)
- Minjin Wang
- Department of NeurologyWest China Hospital of Sichuan UniversityChengduSichuanChina
- Department of Laboratory MedicineWest China Hospital of Sichuan UniversityChengduSichuanChina
- Institute of Brain Science and Brain‐inspired TechnologyWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Jierui Wang
- Department of NeurologyWest China Hospital of Sichuan UniversityChengduSichuanChina
- Institute of Brain Science and Brain‐inspired TechnologyWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Yan Ren
- Department of Laboratory MedicineWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Lu Lu
- Department of NeurologyWest China Hospital of Sichuan UniversityChengduSichuanChina
- Institute of Brain Science and Brain‐inspired TechnologyWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Weixi Xiong
- Department of NeurologyWest China Hospital of Sichuan UniversityChengduSichuanChina
- Institute of Brain Science and Brain‐inspired TechnologyWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Lifeng Li
- Genskey Medical biotechnology Company LimitedBeijingChina
| | - Songtao Xu
- National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina
| | - Meng Tang
- Department of Laboratory MedicineWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Yushang Yuan
- Department of Laboratory MedicineWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Yi Xie
- Department of Laboratory MedicineWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Weimin Li
- Department of Respiratory and Critical Care MedicineWest China HospitalSichuan UniversityChengduSichuanChina
| | - Lei Chen
- Department of NeurologyWest China Hospital of Sichuan UniversityChengduSichuanChina
- Institute of Brain Science and Brain‐inspired TechnologyWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Dong Zhou
- Department of NeurologyWest China Hospital of Sichuan UniversityChengduSichuanChina
- Institute of Brain Science and Brain‐inspired TechnologyWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Binwu Ying
- Department of Laboratory MedicineWest China Hospital of Sichuan UniversityChengduSichuanChina
| | - Jinmei Li
- Department of NeurologyWest China Hospital of Sichuan UniversityChengduSichuanChina
- Institute of Brain Science and Brain‐inspired TechnologyWest China Hospital of Sichuan UniversityChengduSichuanChina
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18
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Buenestado-Serrano S, Herranz M, Otero-Sobrino Á, Molero-Salinas A, Rodríguez-Grande C, Sanz-Pérez A, Durán Galván MJ, Catalán P, Alonso R, Muñoz P, Pérez-Lago L, García de Viedma D. Accelerating SARS-CoV-2 genomic surveillance in a routine clinical setting with nanopore sequencing. Int J Med Microbiol 2024; 314:151599. [PMID: 38290400 DOI: 10.1016/j.ijmm.2024.151599] [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: 07/17/2023] [Revised: 10/27/2023] [Accepted: 01/15/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND SARS-CoV-2 genomic analysis has been key to the provision of valuable data to meet both epidemiological and clinical demands. High-throughput sequencing, generally Illumina-based, has been necessary to ensure the widest coverage in global variant tracking. However, a speedier response is needed for nosocomial outbreak analyses and rapid identification of patients infected by emerging VOCs. An alternative based on nanopore sequencing may be better suited to delivering a faster response when required; however, although there are several studies offering side-by-side comparisons of Illumina and nanopore sequencing, evaluations of the usefulness in the hospital routine of the faster availability of data provided by nanopore are still lacking. RESULTS We performed a prospective 10-week nanopore-based sequencing in MinION in a routine laboratory setting, including 83 specimens where a faster response time was necessary. The specimens analyzed corresponded to i) international travellers in which lineages were assigned to determine the proper management/special isolation of the patients; ii) nosocomial infections and health-care-worker infections, where SNP-based comparisons were required to rule in/out epidemiological relationships and tailor specific interventions iii) sentinel cases and breakthrough infections to timely report to the Public Health authorities. MinION-based sequencing was compared with the standard procedures, supported on Illumina sequencing; MinION accelerated the delivery of results (anticipating results 1-12 days) and reduced costs per sample by 28€ compared to Illumina, without reducing accuracy in SNP calling. CONCLUSIONS Parallel integration of Illumina and nanopore sequencing strategies is a suitable solution to ensure both high-throughput and rapid response to cope with accelerating the surveillance demands of SARS-CoV-2 while also maintaining accuracy.
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Affiliation(s)
- Sergio Buenestado-Serrano
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Escuela de doctorado, Universidad de Alcalá, Pl. de San Diego, s/n, Alcalá de Henares, 28801 Madrid, Spain
| | - Marta Herranz
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Álvaro Otero-Sobrino
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Andrea Molero-Salinas
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Cristina Rodríguez-Grande
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Amadeo Sanz-Pérez
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - María José Durán Galván
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Pilar Catalán
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain
| | - Roberto Alonso
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Department of medicine, Universidad Complutense, Pl. de Ramón y Cajal, s/n, 28040 Madrid, Spain
| | - Patricia Muñoz
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain; Department of medicine, Universidad Complutense, Pl. de Ramón y Cajal, s/n, 28040 Madrid, Spain
| | - Laura Pérez-Lago
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain.
| | - Darío García de Viedma
- Clinical Microbiology and Infectious Diseases service, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), C. Dr. Esquerdo, 46, 28007 Madrid, Spain; Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain.
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19
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Soni SK, Marya T, Sharma A, Thakur B, Soni R. A systematic overview of metal nanoparticles as alternative disinfectants for emerging SARS-CoV-2 variants. Arch Microbiol 2024; 206:111. [PMID: 38372809 DOI: 10.1007/s00203-023-03818-z] [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: 11/17/2023] [Revised: 12/16/2023] [Accepted: 12/25/2023] [Indexed: 02/20/2024]
Abstract
Coronaviruses are a diverse family of viruses, and new strains can emerge. While the majority of coronavirus strains cause mild respiratory illnesses, a few are responsible for severe diseases such as Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS). SARS-CoV-2, the virus responsible for COVID-19, is an example of a coronavirus that has led to a pandemic. Coronaviruses can mutate over time, potentially leading to the emergence of new variants. Some of these variants may have increased transmissibility or resistance to existing vaccines and treatments. The emergence of the COVID-19 pandemic in the recent past has sparked innovation in curbing virus spread, with sanitizers and disinfectants taking center stage. These essential tools hinder pathogen dissemination, especially for unvaccinated or rapidly mutating viruses. The World Health Organization supports the use of alcohol-based sanitizers and disinfectants globally against pandemics. However, there are ongoing concerns about their widespread usage and their potential impact on human health, animal well-being, and ecological equilibrium. In this ever-changing scenario, metal nanoparticles hold promise in combating a range of pathogens, including SARS-CoV-2, as well as other viruses such as norovirus, influenza, and HIV-1. This review explores their potential as non-alcoholic champions against SARS-CoV-2 and other pandemics of tomorrow. This extends beyond metal nanoparticles and advocates a balanced examination of pandemic control tools, exploring their strengths and weaknesses. The manuscript thus involves the evaluation of metal nanoparticle-based alternative approaches as hand sanitizers and disinfectants, providing a comprehensive perspective on this critical issue.
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Affiliation(s)
- Sanjeev Kumar Soni
- Department of Microbiology, Panjab University, Chandigarh, 160014, India.
| | - Tripta Marya
- Department of Microbiology, Panjab University, Chandigarh, 160014, India
| | - Apurav Sharma
- Department of Microbiology, Panjab University, Chandigarh, 160014, India
| | - Bishakha Thakur
- Department of Microbiology, Panjab University, Chandigarh, 160014, India
| | - Raman Soni
- Department of Biotechnology, DAV College, Chandigarh, 160011, India
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Vazquez-Pérez JA, Martínez-Alvarado E, Venancio-Landeros AA, Santiago-Olivares C, Mejía-Nepomuceno F, Mendoza-Ramírez E, Rivera-Toledo E. An amplicon-based protocol for whole-genome sequencing of human respiratory syncytial virus subgroup A. Biol Methods Protoc 2024; 9:bpae007. [PMID: 38371356 PMCID: PMC10873904 DOI: 10.1093/biomethods/bpae007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 02/20/2024] Open
Abstract
It is convenient to study complete genome sequences of human respiratory syncytial virus (hRSV) for ongoing genomic characterization and identification of highly transmissible or pathogenic variants. Whole genome sequencing of hRSV has been challenging from respiratory tract specimens with low viral loads. Herein, we describe an amplicon-based protocol for whole genome sequencing of hRSV subgroup A validated with 24 isolates from nasopharyngeal swabs and infected cell cultures, which showed cycle threshold (Ct) values ranging from 10 to 31, as determined by quantitative reverse-transcription polymerase chain reaction. MinION nanopore generated 3200 to 5400 reads per sample to sequence over 93% of the hRSV-A genome. Coverage of each contig ranged from 130× to 200×. Samples with Ct values of 20.9, 25.2, 27.1, 27.7, 28.2, 28.8, and 29.6 led to the sequencing of over 99.0% of the virus genome, indicating high genome coverage even at high Ct values. This protocol enables the identification of hRSV subgroup A genotypes, as primers were designed to target highly conserved regions. Consequently, it holds potential for application in molecular epidemiology and surveillance of this hRSV subgroup.
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Affiliation(s)
| | - Eber Martínez-Alvarado
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán, 04510, Mexico City, Mexico
| | | | - Carlos Santiago-Olivares
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán, 04510, Mexico City, Mexico
| | | | | | - Evelyn Rivera-Toledo
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán, 04510, Mexico City, Mexico
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Pipek OA, Medgyes-Horváth A, Stéger J, Papp K, Visontai D, Koopmans M, Nieuwenhuijse D, Oude Munnink BB, Csabai I. Systematic detection of co-infection and intra-host recombination in more than 2 million global SARS-CoV-2 samples. Nat Commun 2024; 15:517. [PMID: 38225254 PMCID: PMC10789779 DOI: 10.1038/s41467-023-43391-z] [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: 07/11/2023] [Accepted: 11/06/2023] [Indexed: 01/17/2024] Open
Abstract
Systematic monitoring of SARS-CoV-2 co-infections between different lineages and assessing the risk of intra-host recombinant emergence are crucial for forecasting viral evolution. Here we present a comprehensive analysis of more than 2 million SARS-CoV-2 raw read datasets submitted to the European COVID-19 Data Portal to identify co-infections and intra-host recombination. Co-infection was observed in 0.35% of the investigated cases. Two independent procedures were implemented to detect intra-host recombination. We show that sensitivity is predominantly determined by the density of lineage-defining mutations along the genome, thus we used an expanded list of mutually exclusive defining mutations of specific variant combinations to increase statistical power. We call attention to multiple challenges rendering recombinant detection difficult and provide guidelines for the reduction of false positives arising from chimeric sequences produced during PCR amplification. Additionally, we identify three recombination hotspots of Delta - Omicron BA.1 intra-host recombinants.
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Affiliation(s)
- Orsolya Anna Pipek
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Pázmány P. s. 1A, Budapest, 1117, Hungary
| | - Anna Medgyes-Horváth
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Pázmány P. s. 1A, Budapest, 1117, Hungary.
| | - József Stéger
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Pázmány P. s. 1A, Budapest, 1117, Hungary
| | - Krisztián Papp
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Pázmány P. s. 1A, Budapest, 1117, Hungary
| | - Dávid Visontai
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Pázmány P. s. 1A, Budapest, 1117, Hungary
| | - Marion Koopmans
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands
| | - David Nieuwenhuijse
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Bas B Oude Munnink
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands
| | - István Csabai
- Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Pázmány P. s. 1A, Budapest, 1117, Hungary
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22
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Guo C, Wu JY. Pathogen Discovery in the Post-COVID Era. Pathogens 2024; 13:51. [PMID: 38251358 PMCID: PMC10821006 DOI: 10.3390/pathogens13010051] [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: 11/11/2023] [Revised: 12/22/2023] [Accepted: 01/03/2024] [Indexed: 01/23/2024] Open
Abstract
Pathogen discovery plays a crucial role in the fields of infectious diseases, clinical microbiology, and public health. During the past four years, the global response to the COVID-19 pandemic highlighted the importance of early and accurate identification of novel pathogens for effective management and prevention of outbreaks. The post-COVID era has ushered in a new phase of infectious disease research, marked by accelerated advancements in pathogen discovery. This review encapsulates the recent innovations and paradigm shifts that have reshaped the landscape of pathogen discovery in response to the COVID-19 pandemic. Primarily, we summarize the latest technology innovations, applications, and causation proving strategies that enable rapid and accurate pathogen discovery for both acute and historical infections. We also explored the significance and the latest trends and approaches being employed for effective implementation of pathogen discovery from various clinical and environmental samples. Furthermore, we emphasize the collaborative nature of the pandemic response, which has led to the establishment of global networks for pathogen discovery.
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Affiliation(s)
- Cheng Guo
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Jian-Yong Wu
- School of Public Health, Xinjiang Medical University, Urumqi 830017, China
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23
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Chien YS, Chen FJ, Wu HC, Lin CH, Chang WC, Perera D, Yang JY, Lee MS, Liao YC. Cost-effective complete genome sequencing using the MinION platform for identification of recombinant enteroviruses. Microbiol Spectr 2023; 11:e0250723. [PMID: 37831475 PMCID: PMC10715163 DOI: 10.1128/spectrum.02507-23] [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: 06/14/2023] [Accepted: 08/30/2023] [Indexed: 10/14/2023] Open
Abstract
IMPORTANCE By employing a cost-effective approach for complete genome sequencing, the study has enabled the identification of novel enterovirus strains and shed light on the genetic exchange events during outbreaks. The success rate of genome sequencing and the scalability of the protocol demonstrate its practical utility for routine enterovirus surveillance. Moreover, the study's findings of recombinant strains of EVA71 and CVA2 contributing to epidemics in Malaysia and Taiwan emphasize the need for accurate detection and characterization of enteroviruses. The investigation of the whole genome and upstream ORF sequences has provided insights into the evolution and spread of enterovirus subgenogroups. These findings have important implications for the prevention, control, and surveillance of enteroviruses, ultimately contributing to the understanding and management of enterovirus-related illnesses.
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Affiliation(s)
- Yeh-Sheng Chien
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
| | - Feng-Jui Chen
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Han-Chieh Wu
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
| | - Chieh-Hua Lin
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Wen-Chiung Chang
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
| | - David Perera
- Institute of Health and Community Medicine, Universiti Malaysia Sarawak, Sarawak, Malaysia
| | - Jyh-Yuan Yang
- Research and Diagnosis Center, Centers for Disease Control, Taipei, Taiwan
| | - Min-Shi Lee
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan
| | - Yu-Chieh Liao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
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Yan T, Zheng R, Li Y, Sun S, Zeng X, Yue Z, Liao Y, Hu Q, Xu Y, Li Q. Epidemiological Insights into the Omicron Outbreak via MeltArray-Assisted Real-Time Tracking of SARS-CoV-2 Variants. Viruses 2023; 15:2397. [PMID: 38140638 PMCID: PMC10748191 DOI: 10.3390/v15122397] [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: 11/02/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
The prolonged course of the COVID-19 pandemic necessitates sustained surveillance of emerging variants. This study aimed to develop a multiplex real-time polymerase chain reaction (rt-PCR) suitable for the real-time tracking of Omicron subvariants in clinical and wastewater samples. Plasmids containing variant-specific mutations were used to develop a MeltArray assay. After a comprehensive evaluation of both analytical and clinical performance, the established assay was used to detect Omicron variants in clinical and wastewater samples, and the results were compared with those of next-generation sequencing (NGS) and droplet digital PCR (ddPCR). The MeltArray assay identified 14 variant-specific mutations, enabling the detection of five Omicron sublineages (BA.2*, BA.5.2*, BA.2.75*, BQ.1*, and XBB.1*) and eight subvariants (BF.7, BN.1, BR.2, BQ.1.1, XBB.1.5, XBB.1.16, XBB.1.9, and BA.4.6). The limit of detection (LOD) of the assay was 50 copies/reaction, and no cross-reactivity was observed with 15 other respiratory viruses. Using NGS as the reference method, the clinical evaluation of 232 swab samples exhibited a clinical sensitivity of > 95.12% (95% CI 89.77-97.75%) and a specificity of > 95.21% (95% CI, 91.15-97.46%). When used to evaluate the Omicron outbreak from late 2022 to early 2023, the MeltArray assay performed on 1408 samples revealed that the epidemic was driven by BA.5.2* (883, 62.71%) and BF.7 (525, 37.29%). Additionally, the MeltArray assay demonstrated potential for estimating variant abundance in wastewater samples. The MeltArray assay is a rapid and scalable method for identifying SARS-CoV-2 variants. Integrating this approach with NGS and ddPCR will improve variant surveillance capabilities and ensure preparedness for future variants.
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Affiliation(s)
- Ting Yan
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; (T.Y.); (S.S.); (Y.L.)
| | - Rongrong Zheng
- Xiamen Centre for Disease Control and Prevention, Xiamen 361021, China; (R.Z.); (X.Z.)
| | - Yinghui Li
- Shenzhen Centre for Disease Control and Prevention, Shenzhen 518055, China; (Y.L.); (Z.Y.); (Q.H.)
| | - Siyang Sun
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; (T.Y.); (S.S.); (Y.L.)
| | - Xiaohong Zeng
- Xiamen Centre for Disease Control and Prevention, Xiamen 361021, China; (R.Z.); (X.Z.)
| | - Zhijiao Yue
- Shenzhen Centre for Disease Control and Prevention, Shenzhen 518055, China; (Y.L.); (Z.Y.); (Q.H.)
| | - Yiqun Liao
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; (T.Y.); (S.S.); (Y.L.)
| | - Qinghua Hu
- Shenzhen Centre for Disease Control and Prevention, Shenzhen 518055, China; (Y.L.); (Z.Y.); (Q.H.)
| | - Ye Xu
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; (T.Y.); (S.S.); (Y.L.)
| | - Qingge Li
- Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; (T.Y.); (S.S.); (Y.L.)
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25
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Diotallevi A, Buffi G, Barocci S, Ceccarelli M, Bencardino D, Andreoni F, Orlandi C, Ferri M, Vandini D, Menzo S, Carlotti E, Casabianca A, Magnani M, Galluzzi L. Rapid monitoring of SARS-CoV-2 variants of concern through high-resolution melt analysis. Sci Rep 2023; 13:21598. [PMID: 38062105 PMCID: PMC10703772 DOI: 10.1038/s41598-023-48929-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 12/01/2023] [Indexed: 12/18/2023] Open
Abstract
The current global pandemic of COVID-19 is characterized by waves of infection due to the emergence of new SARS-CoV-2 variants carrying mutations on the Spike (S) protein gene. Since autumn 2020 many Variants of Concern (VOC) have been reported: Alpha/B.1.1.7, Beta/B.1.351, Gamma/P.1, Delta/B.1.617.2, Omicron/B.1.1.529, and sublineages. Surveillance of genomic variants is currently based on whole-genome sequencing (WGS) of viral genomes on a random fraction of samples positive to molecular tests. WGS involves high costs, extended analysis time, specialized staff, and expensive instruments compared to a PCR-based test. To rapidly identify the VOCs in positive samples, six assays based on real-time PCR and high-resolution melting (HRM) were designed on the S gene and applied to 120 oro/nasopharyngeal swab samples collected from October 2020 to June 2022 (106 positive and 14 negative samples). Overall, the assays showed 100% specificity and sensitivity compared with commercial PCR tests for COVID-19. Moreover, 104 samples out of 106 (98.1%) were correctly identified as follows: 8 Wuhan (wild type), 12 Alpha, 23 Delta, 46 Omicron BA.1/BA.1.1, 15 Omicron BA.2/BA.4/BA.5. With our lab equipment, about 10 samples can be processed every 3 h at the cost of less than € 10 ($ 10.60) per sample, including RNA extraction. The implementation of this approach could help local epidemiological surveillance and clinical decision-making.
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Affiliation(s)
- Aurora Diotallevi
- Section of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy.
| | - Gloria Buffi
- Section of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy
| | - Simone Barocci
- Department of Clinical Pathology, Azienda Sanitaria Territoriale (AST) Pesaro e Urbino, Marche, 61029, Urbino, PU, Italy
| | - Marcello Ceccarelli
- Section of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy
- Department of Clinical Pathology, Azienda Sanitaria Territoriale (AST) Pesaro e Urbino, Marche, 61029, Urbino, PU, Italy
| | - Daniela Bencardino
- Section of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy
| | - Francesca Andreoni
- Section of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy
- Department of Clinical Pathology, Azienda Sanitaria Territoriale (AST) Pesaro e Urbino, Marche, 61029, Urbino, PU, Italy
| | - Chiara Orlandi
- Section of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy
| | - Marilisa Ferri
- Department of Clinical Pathology, Azienda Sanitaria Territoriale (AST) Pesaro e Urbino, Marche, 61029, Urbino, PU, Italy
| | - Daniela Vandini
- Department of Clinical Pathology, Azienda Sanitaria Territoriale (AST) Pesaro e Urbino, Marche, 61029, Urbino, PU, Italy
| | - Stefano Menzo
- Virology Laboratory, Azienda Ospedaliero Universitaria delle Marche, 60126, Ancona, AN, Italy
| | - Eugenio Carlotti
- Department of Prevention, Azienda Sanitaria Territoriale (AST) Pesaro e Urbino Marche, 61029, Urbino, PU, Italy
| | - Anna Casabianca
- Section of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy
| | - Mauro Magnani
- Section of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy
| | - Luca Galluzzi
- Section of Biotechnology, Department of Biomolecular Sciences, University of Urbino Carlo Bo, 60132, Fano, PU, Italy
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26
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Garcia-Pedemonte D, Carcereny A, Gregori J, Quer J, Garcia-Cehic D, Guerrero L, Ceretó-Massagué A, Abid I, Bosch A, Costafreda MI, Pintó RM, Guix S. Comparison of Nanopore and Synthesis-Based Next-Generation Sequencing Platforms for SARS-CoV-2 Variant Monitoring in Wastewater. Int J Mol Sci 2023; 24:17184. [PMID: 38139015 PMCID: PMC10743471 DOI: 10.3390/ijms242417184] [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: 11/03/2023] [Revised: 11/30/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
Shortly after the beginning of the SARS-CoV-2 pandemic, many countries implemented sewage sentinel systems to monitor the circulation of the virus in the population. A fundamental part of these surveillance programs is the variant tracking through sequencing approaches to monitor and identify new variants or mutations that may be of importance. Two of the main sequencing platforms are Illumina and Oxford Nanopore Technologies. Here, we compare the performance of MiSeq (Illumina) and MinION (Oxford Nanopore Technologies), as well as two different data processing pipelines, to determine the effect they may have on the results. MiSeq showed higher sequencing coverage, lower error rate, and better capacity to detect and accurately estimate variant abundances than MinION R9.4.1 flow cell data. The use of different variant callers (LoFreq and iVar) and approaches to calculate the variant proportions had a remarkable impact on the results generated from wastewater samples. Freyja, coupled with iVar, may be more sensitive and accurate than LoFreq, especially with MinION data, but it comes at the cost of having a higher error rate. The analysis of MinION R10.4.1 flow cell data using Freyja combined with iVar narrows the gap with MiSeq performance in terms of read quality, accuracy, sensitivity, and number of detected mutations. Although MiSeq should still be considered as the standard method for SARS-CoV-2 variant tracking, MinION's versatility and rapid turnaround time may represent a clear advantage during the ongoing pandemic.
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Affiliation(s)
- David Garcia-Pedemonte
- Enteric Virus Laboratory, Section of Microbiology, Virology and Biotechnology, Department of Genetics, Microbiology and Statistics, School of Biology, University of Barcelona, 08028 Barcelona, Spain; (D.G.-P.); (A.C.); (I.A.); (A.B.); (M.I.C.)
- Enteric Virus Laboratory, Institute of Nutrition and Food Safety (INSA), University of Barcelona, 08921 Santa Coloma de Gramenet, Spain
| | - Albert Carcereny
- Enteric Virus Laboratory, Section of Microbiology, Virology and Biotechnology, Department of Genetics, Microbiology and Statistics, School of Biology, University of Barcelona, 08028 Barcelona, Spain; (D.G.-P.); (A.C.); (I.A.); (A.B.); (M.I.C.)
- Enteric Virus Laboratory, Institute of Nutrition and Food Safety (INSA), University of Barcelona, 08921 Santa Coloma de Gramenet, Spain
| | - Josep Gregori
- Liver Unit, Liver Diseases—Viral Hepatitis, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Campus, 08035 Barcelona, Spain; (J.G.); (J.Q.); (D.G.-C.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Josep Quer
- Liver Unit, Liver Diseases—Viral Hepatitis, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Campus, 08035 Barcelona, Spain; (J.G.); (J.Q.); (D.G.-C.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Damir Garcia-Cehic
- Liver Unit, Liver Diseases—Viral Hepatitis, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Hospital Campus, 08035 Barcelona, Spain; (J.G.); (J.Q.); (D.G.-C.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Laura Guerrero
- Catalan Institute for Water Research (ICRA), 17003 Girona, Spain;
| | - Adrià Ceretó-Massagué
- Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), 43204 Reus, Spain;
| | - Islem Abid
- Enteric Virus Laboratory, Section of Microbiology, Virology and Biotechnology, Department of Genetics, Microbiology and Statistics, School of Biology, University of Barcelona, 08028 Barcelona, Spain; (D.G.-P.); (A.C.); (I.A.); (A.B.); (M.I.C.)
- Center of Excellence in Biotechnology Research, College of Applied Science, King Saud University, Riyadh 11495, Saudi Arabia
| | - Albert Bosch
- Enteric Virus Laboratory, Section of Microbiology, Virology and Biotechnology, Department of Genetics, Microbiology and Statistics, School of Biology, University of Barcelona, 08028 Barcelona, Spain; (D.G.-P.); (A.C.); (I.A.); (A.B.); (M.I.C.)
- Enteric Virus Laboratory, Institute of Nutrition and Food Safety (INSA), University of Barcelona, 08921 Santa Coloma de Gramenet, Spain
| | - Maria Isabel Costafreda
- Enteric Virus Laboratory, Section of Microbiology, Virology and Biotechnology, Department of Genetics, Microbiology and Statistics, School of Biology, University of Barcelona, 08028 Barcelona, Spain; (D.G.-P.); (A.C.); (I.A.); (A.B.); (M.I.C.)
- Enteric Virus Laboratory, Institute of Nutrition and Food Safety (INSA), University of Barcelona, 08921 Santa Coloma de Gramenet, Spain
| | - Rosa M. Pintó
- Enteric Virus Laboratory, Section of Microbiology, Virology and Biotechnology, Department of Genetics, Microbiology and Statistics, School of Biology, University of Barcelona, 08028 Barcelona, Spain; (D.G.-P.); (A.C.); (I.A.); (A.B.); (M.I.C.)
- Enteric Virus Laboratory, Institute of Nutrition and Food Safety (INSA), University of Barcelona, 08921 Santa Coloma de Gramenet, Spain
| | - Susana Guix
- Enteric Virus Laboratory, Section of Microbiology, Virology and Biotechnology, Department of Genetics, Microbiology and Statistics, School of Biology, University of Barcelona, 08028 Barcelona, Spain; (D.G.-P.); (A.C.); (I.A.); (A.B.); (M.I.C.)
- Enteric Virus Laboratory, Institute of Nutrition and Food Safety (INSA), University of Barcelona, 08921 Santa Coloma de Gramenet, Spain
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Kia P, Katagirya E, Kakembo FE, Adera DA, Nsubuga ML, Yiga F, Aloyo SM, Aujat BR, Anguyo DF, Katabazi FA, Kigozi E, Joloba ML, Kateete DP. Genomic characterization of SARS-CoV-2 from Uganda using MinION nanopore sequencing. Sci Rep 2023; 13:20507. [PMID: 37993530 PMCID: PMC10665338 DOI: 10.1038/s41598-023-47379-z] [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: 01/31/2023] [Accepted: 11/13/2023] [Indexed: 11/24/2023] Open
Abstract
SARS-CoV-2 undergoes frequent mutations, affecting COVID-19 diagnostics, transmission and vaccine efficacy. Here, we describe the genetic diversity of 49 SARS-CoV-2 samples from Uganda, collected during the COVID-19 waves of 2020/2021. Overall, the samples were similar to previously reported SARS-CoV-2 from Uganda and the Democratic Republic of Congo (DRC). The main lineages were AY.46 and A.23, which are considered to be Delta SARS-CoV-2 variants. Further, a total of 268 unique single nucleotide variants and 1456 mutations were found, with more than seventy percent mutations in the ORF1ab and S genes. The most common mutations were 2042C>G (83.4%), 14143C>T (79.5%), 245T>C (65%), and 1129G>T (51%), which occurred in the S, ORF1ab, ORF7a and N genes, respectively. As well, 28 structural variants-21 insertions and 7 deletions, occurred in 16 samples. Our findings point to the possibility that most SARS-CoV-2 infections in Uganda at the time arose from local spread and were not newly imported. Moreover, the relatedness of variants from Uganda and the DRC reflects high human mobility and interaction between the two countries, which is peculiar to this region of the world.
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Affiliation(s)
- Praiscillia Kia
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.
| | - Eric Katagirya
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Fredrick Elishama Kakembo
- The African Centers of Excellence in Bioinformatics and Date Intensive Sciences, Infectious Disease Institute, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Doreen Ato Adera
- Multifunctional Research Laboratories, Gulu University, Gulu, Uganda
| | - Moses Luutu Nsubuga
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Fahim Yiga
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Sharley Melissa Aloyo
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Brendah Ronah Aujat
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | | | - Fred Ashaba Katabazi
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Edgar Kigozi
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Moses L Joloba
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - David Patrick Kateete
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.
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Chen J, Xu F. Application of Nanopore Sequencing in the Diagnosis and Treatment of Pulmonary Infections. Mol Diagn Ther 2023; 27:685-701. [PMID: 37563539 PMCID: PMC10590290 DOI: 10.1007/s40291-023-00669-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/18/2023] [Indexed: 08/12/2023]
Abstract
This review provides an in-depth discussion of the development, principles and utility of nanopore sequencing technology and its diverse applications in the identification of various pulmonary pathogens. We examined the emergence and advancements of nanopore sequencing as a significant player in this field. We illustrate the challenges faced in diagnosing mixed infections and further scrutinize the use of nanopore sequencing in the identification of single pathogens, including viruses (with a focus on its use in epidemiology, outbreak investigation, and viral resistance), bacteria (emphasizing 16S targeted sequencing, rare bacterial lung infections, and antimicrobial resistance studies), fungi (employing internal transcribed spacer sequencing), tuberculosis, and atypical pathogens. Furthermore, we discuss the role of nanopore sequencing in metagenomics and its potential for unbiased detection of all pathogens in a clinical setting, emphasizing its advantages in sequencing genome repeat areas and structural variant regions. We discuss the limitations in dealing with host DNA removal, the inherent high error rate of nanopore sequencing technology, along with the complexity of operation and processing, while acknowledging the possibilities provided by recent technological improvements. We compared nanopore sequencing with the BioFire system, a rapid molecular diagnostic system based on polymerase chain reaction. Although the BioFire system serves well for the rapid screening of known and common pathogens, it falls short in the identification of unknown or rare pathogens and in providing comprehensive genome analysis. As technological advancements continue, it is anticipated that the role of nanopore sequencing technology in diagnosing and treating lung infections will become increasingly significant.
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Affiliation(s)
- Jie Chen
- Department of Infectious Diseases, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Feng Xu
- Department of Infectious Diseases, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
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Martinello M, Bhagani S, Shaw D, Orkin C, Cooke G, Gane E, Iser D, Ustianowski A, Kulasegaram R, Stedman C, Tu E, Grebely J, Dore GJ, Nelson M, Matthews GV. Glecaprevir-pibrentasvir for 4 weeks among people with recent HCV infection: The TARGET3D study. JHEP Rep 2023; 5:100867. [PMID: 37771545 PMCID: PMC10522905 DOI: 10.1016/j.jhepr.2023.100867] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 07/01/2023] [Indexed: 09/30/2023] Open
Abstract
Background & Aims Short duration treatment may aid HCV elimination among key populations. This study evaluated the efficacy of glecaprevir-pibrentasvir for 4 weeks among people with recent HCV infection. Methods In this single-arm multicentre international trial, adults with recent HCV (duration of infection <12 months) received glecaprevir-pibrentasvir 300 mg-120 mg daily for 4 weeks. Primary infection was defined as a first positive anti-HCV antibody and/or HCV RNA measurement within 6 months of enrolment and either acute clinical hepatitis within 12 months (symptomatic illness or alanine aminotransferase >10x the upper limit of normal) or antibody seroconversion within 18 months. Reinfection was defined as new positive HCV RNA within 6 months and prior clearance (spontaneous or treatment). The primary endpoint was sustained virological response at 12 weeks post-treatment (SVR12) in the intention-to-treat (ITT) and per-protocol (PP) populations. Results Twenty-three participants (96% men, 70% HIV, 57% ever injected drugs) received treatment, of whom 74% had genotype 1a infection and 35% recent reinfection. At baseline, median duration of infection was 17 weeks (IQR 11-29) and HCV RNA was 5.8 log10IU/ml (IQR 5.2-6.9). SVR12 was achieved by 78% (18/23; 95% CI 56-93%) and 82% (18/22; 95% CI 60-95%) of the ITT and PP populations, respectively, and in 100% (12/12; 95% CI 74-100%) of participants with baseline HCV RNA ≤6 log10. There were four cases of virological failure (relapse); three received retreatment with 12 weeks sofosbuvir-velpatasvir or grazoprevir-elbasvir (SVR, n = 2; loss to follow-up, n = 1). No serious adverse events were reported. Conclusion While most achieved SVR, the efficacy of a 4-week regimen of glecaprevir-pibrentasvir was lower than observed with longer treatment durations (≥6 weeks) among people with recent HCV. Trial Registration Clinicaltrials.gov Identifier: NCT02634008. Impact and implications Short duration treatment may aid HCV elimination among key populations. This investigator-initiated single-arm multicentre international pilot trial demonstrated that efficacy of glecaprevir-pibrentasvir for 4 weeks among people with recent HCV infection was sub-optimal (SVR12 78% ITT, 82% PP). Baseline HCV RNA appeared to impact response, with higher efficacy among participants with lower baseline HCV RNA (≤6 log10; SVR12 100% ITT, 12/12). While most achieved SVR, the efficacy of 4 weeks of glecaprevir-pibrentasvir was below that seen with longer treatment durations (≥6 weeks).
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Affiliation(s)
- Marianne Martinello
- Kirby Institute, UNSW, Sydney, Australia
- Department of Infectious Diseases, Prince of Wales Hospital, Sydney, Australia
| | - Sanjay Bhagani
- Department of Infectious Diseases/HIV Medicine, Royal Free Hospital, London, UK
| | - David Shaw
- Department of Infectious Diseases, Royal Adelaide Hospital, Adelaide, Australia
| | - Chloe Orkin
- Blizard Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Graham Cooke
- Department of Infectious Diseases, Imperial College NHS Trust, St Mary’s Hospital, London, UK
| | - Edward Gane
- New Zealand Liver Transplant Unit, Auckland City Hospital, Auckland, New Zealand
| | - David Iser
- The Alfred Hospital, Melbourne, Australia Burnet Institute, Melbourne, Australia
- Department of Gastroenterology, St Vincent’s Hospital, Melbourne, Australia
| | | | | | | | - Elise Tu
- Kirby Institute, UNSW, Sydney, Australia
| | | | - Gregory J. Dore
- Kirby Institute, UNSW, Sydney, Australia
- Department of Infectious Diseases, St Vincent’s Hospital, Sydney, Australia
| | - Mark Nelson
- Chelsea and Westminster Hospital, London, UK
| | - Gail V. Matthews
- Kirby Institute, UNSW, Sydney, Australia
- Department of Infectious Diseases, St Vincent’s Hospital, Sydney, Australia
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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: 9] [Impact Index Per Article: 9.0] [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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31
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Férez JA, Cuevas-Ferrando E, Ayala-San Nicolás M, Simón Andreu PJ, López R, Truchado P, Sánchez G, Allende A. Wastewater-Based Epidemiology to Describe the Evolution of SARS-CoV-2 in the South-East of Spain, and Application of Phylogenetic Analysis and a Machine Learning Approach. Viruses 2023; 15:1499. [PMID: 37515186 PMCID: PMC10386001 DOI: 10.3390/v15071499] [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: 05/02/2023] [Revised: 06/28/2023] [Accepted: 06/28/2023] [Indexed: 07/30/2023] Open
Abstract
The COVID-19 pandemic has posed a significant global threat, leading to several initiatives for its control and management. One such initiative involves wastewater-based epidemiology, which has gained attention for its potential to provide early warning of virus outbreaks and real-time information on its spread. In this study, wastewater samples from two wastewater treatment plants (WWTPs) located in the southeast of Spain (region of Murcia), namely Murcia, and Cartagena, were analyzed using RT-qPCR and high-throughput sequencing techniques to describe the evolution of SARS-CoV-2 in the South-East of Spain. Additionally, phylogenetic analysis and machine learning approaches were applied to develop a pre-screening tool for the identification of differences among the variant composition of different wastewater samples. The results confirmed that the levels of SARS-CoV-2 in these wastewater samples changed concerning the number of SARS-CoV-2 cases detected in the population, and variant occurrences were in line with clinical reported data. The sequence analyses helped to describe how the different SARS-CoV-2 variants have been replaced over time. Additionally, the phylogenetic analysis showed that samples obtained at close sampling times exhibited a higher similarity than those obtained more distantly in time. A second analysis using a machine learning approach based on the mutations found in the SARS-CoV-2 spike protein was also conducted. Hierarchical clustering (HC) was used as an efficient unsupervised approach for data analysis. Results indicated that samples obtained in October 2022 in Murcia and Cartagena were significantly different, which corresponded well with the different virus variants circulating in the two locations. The proposed methods in this study are adequate for comparing consensus sequence types of the SARS-CoV-2 sequences as a preliminary evaluation of potential changes in the variants that are circulating in a given population at a specific time point.
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Affiliation(s)
- Jose A Férez
- Research Group on Microbiology and Quality of Fruit and Vegetables, CEBAS-CSIC, 30100 Murcia, Spain
| | - Enric Cuevas-Ferrando
- Environmental Virology and Food Safety Lab (VISAFELab), Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, Av. Agustín Escardino 7, 46980 Valencia, Spain
| | - María Ayala-San Nicolás
- Research Group on Microbiology and Quality of Fruit and Vegetables, CEBAS-CSIC, 30100 Murcia, Spain
| | - Pedro J Simón Andreu
- Entidad Regional de Saneamiento y Depuración de Murcia (ESAMUR), Avda. Juan Carlos I, s/n. Ed. Torre Jemeca, 30009 Murcia, Spain
| | - Román López
- Entidad Regional de Saneamiento y Depuración de Murcia (ESAMUR), Avda. Juan Carlos I, s/n. Ed. Torre Jemeca, 30009 Murcia, Spain
| | - Pilar Truchado
- Research Group on Microbiology and Quality of Fruit and Vegetables, CEBAS-CSIC, 30100 Murcia, Spain
| | - Gloria Sánchez
- Environmental Virology and Food Safety Lab (VISAFELab), Department of Preservation and Food Safety Technologies, Institute of Agrochemistry and Food Technology, IATA-CSIC, Av. Agustín Escardino 7, 46980 Valencia, Spain
| | - Ana Allende
- Research Group on Microbiology and Quality of Fruit and Vegetables, CEBAS-CSIC, 30100 Murcia, Spain
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32
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Marinelli TM, Dolan L, Jenkins F, Lee A, Davis RJ, Crawford S, Nield B, Ronnachit A, Van Hal SJ. The role of real-time, on-site, whole-genome sequencing of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) in guiding the management of hospital outbreaks of coronavirus disease 2019 (COVID-19). Infect Control Hosp Epidemiol 2023; 44:1116-1120. [PMID: 36082784 DOI: 10.1017/ice.2022.220] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE We aimed to demonstrate the role of real-time, on-site, whole-genome sequencing (WGS) of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) in the management of hospital outbreaks of coronavirus disease 2019 (COVID-19). DESIGN This retrospective study was undertaken at our institutions in Sydney, New South Wales, Australia, between July 2021 and April 2022. We included SARS-CoV-2 outbreaks due to SARS-CoV-2 δ (delta) and ο (omicron) variants. All unexpected SARS-CoV-2-positive cases identified within the hospital were managed by the infection control team. An outbreak was defined as 2 or more cases acquired on a single ward. We included only outbreaks with 2 or more suspected transmission events in which WGS was utilized to assist with outbreak assessment and management. RESULTS We studied 8 outbreaks involving 266 patients and 486 staff, of whom 73 (27.4%) and 39 (8.0%), respectively, tested positive for SARS-CoV-2 during the outbreak management. WGS was used to evaluate the source of the outbreak, to establish transmission chains, to highlight deficiencies in infection control practices, and to delineate between community and healthcare acquired infection. CONCLUSIONS Real-time, on-site WGS combined with epidemiologic assessment is a useful tool to guide management of hospital SARS-CoV-2 outbreaks. WGS allowed us (1) to establish likely transmission events due to personal protective equipment (PPE) breaches; (2) to detect inadequacies in infection control infrastructure including ventilation; and (3) to confirm multiple viral introductions during periods of high community SARS-CoV-2 transmission. Insights gained from WGS-guides outbreak management directly influenced policy including modifying PPE requirements, instituting routine inpatient SARS-CoV-2 surveillance, and confirmatory SARS-CoV-2 testing prior to placing patients in a cohort setting.
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Affiliation(s)
- Tina M Marinelli
- Department of Infectious Diseases and Microbiology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Leanne Dolan
- Infection Prevention and Control Unit, Royal Prince Alfred Hospital, Sydney, Australia
| | - Frances Jenkins
- Department of Infectious Diseases and Microbiology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Andie Lee
- Department of Infectious Diseases and Microbiology, Royal Prince Alfred Hospital, Sydney, Australia
- Department of Medicine, The University of Sydney, Sydney, Australia
| | - Rebecca J Davis
- Department of Infectious Diseases and Microbiology, Royal Prince Alfred Hospital, Sydney, Australia
- Department of Medicine, The University of Sydney, Sydney, Australia
| | - Simeon Crawford
- Department of Infectious Diseases and Microbiology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Blake Nield
- Department of Infectious Diseases and Microbiology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Amrita Ronnachit
- Department of Infectious Diseases and Microbiology, Royal Prince Alfred Hospital, Sydney, Australia
- Department of Medicine, The University of Sydney, Sydney, Australia
| | - Sebastiaan J Van Hal
- Department of Infectious Diseases and Microbiology, Royal Prince Alfred Hospital, Sydney, Australia
- Department of Medicine, The University of Sydney, Sydney, Australia
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Wang T, Wang C, Myshkevych Y, Mantilla-Calderon D, Talley E, Hong PY. SARS-CoV-2 wastewater-based epidemiology in an enclosed compound: A 2.5-year survey to identify factors contributing to local community dissemination. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 875:162466. [PMID: 36868271 PMCID: PMC9977070 DOI: 10.1016/j.scitotenv.2023.162466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/21/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
Long-term (>2.5 years) surveillance of SARS-CoV-2 RNA concentrations in wastewater was conducted within an enclosed university compound. This study aims to demonstrate how coupling wastewater-based epidemiology (WBE) with meta-data can identify which factors contribute toward the dissemination of SARS-CoV-2 within a local community. Throughout the pandemic, the temporal dynamics of SARS-CoV-2 RNA concentrations were tracked by quantitative polymerase chain reaction and analyzed in the context of the number of positive swab cases, the extent of human movement, and intervention measures. Our findings suggest that during the early phase of the pandemic, when strict lockdown was imposed, the viral titer load in the wastewater remained below detection limits, with <4 positive swab cases reported over a 14-day period in the compound. After the lockdown was lifted and global travel gradually resumed, SARS-CoV-2 RNA was first detected in the wastewater on 12 August 2020 and increased in frequency thereafter, despite high vaccination rates and mandatory face-covering requirements in the community. Accompanied by a combination of the Omicron surge and significant global travel by community members, SARS-CoV-2 RNA was detected in most of the weekly wastewater samples collected in late December 2021 and January 2022. With the cease of mandatory face covering, SARS-CoV-2 was detected in at least two of the four weekly wastewater samples collected from May through August 2022. Retrospective Nanopore sequencing revealed the presence of the Omicron variant in the wastewater with a multitude of amino acid mutations, from which we could infer the likely geographical origins through bioinformatic analysis. This study demonstrated that long-term tracking of the temporal dynamics and sequencing of variants in wastewater would aid in identifying which factors contribute the most to SARS-CoV-2 dissemination within the local community, facilitating an appropriate public health response to control future outbreaks as we now live with endemic SARS-CoV-2.
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Affiliation(s)
- Tiannyu Wang
- Water Desalination and Reuse Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Changzhi Wang
- Bioengineering Program, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Yevhen Myshkevych
- Environmental Science and Engineering Program, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - David Mantilla-Calderon
- Water Desalination and Reuse Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Erik Talley
- Health, Safety and Environment, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Pei-Ying Hong
- Water Desalination and Reuse Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; Bioengineering Program, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; Environmental Science and Engineering Program, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
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Cheng L, Lan L, Ramalingam M, He J, Yang Y, Gao M, Shi Z. A review of current effective COVID-19 testing methods and quality control. Arch Microbiol 2023; 205:239. [PMID: 37195393 DOI: 10.1007/s00203-023-03579-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 05/04/2023] [Accepted: 05/04/2023] [Indexed: 05/18/2023]
Abstract
COVID-19 is a highly infectious disease caused by the SARS-CoV-2 virus, which primarily affects the respiratory system and can lead to severe illness. The virus is extremely contagious, early and accurate diagnosis of SARS-CoV-2 is crucial to contain its spread, to provide prompt treatment, and to prevent complications. Currently, the reverse transcriptase polymerase chain reaction (RT-PCR) is considered to be the gold standard for detecting COVID-19 in its early stages. In addition, loop-mediated isothermal amplification (LMAP), clustering rule interval short palindromic repeats (CRISPR), colloidal gold immunochromatographic assay (GICA), computed tomography (CT), and electrochemical sensors are also common tests. However, these different methods vary greatly in terms of their detection efficiency, specificity, accuracy, sensitivity, cost, and throughput. Besides, most of the current detection methods are conducted in central hospitals and laboratories, which is a great challenge for remote and underdeveloped areas. Therefore, it is essential to review the advantages and disadvantages of different COVID-19 detection methods, as well as the technology that can enhance detection efficiency and improve detection quality in greater details.
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Affiliation(s)
- Lijia Cheng
- Clinical Medical College & Affiliated Hospital, School of Basic Medical Sciences, Chengdu University, Chengdu, 610106, China.
| | - Liang Lan
- Clinical Medical College & Affiliated Hospital, School of Basic Medical Sciences, Chengdu University, Chengdu, 610106, China
| | - Murugan Ramalingam
- Clinical Medical College & Affiliated Hospital, School of Basic Medical Sciences, Chengdu University, Chengdu, 610106, China
| | - Jianrong He
- Clinical Medical College & Affiliated Hospital, School of Basic Medical Sciences, Chengdu University, Chengdu, 610106, China
| | - Yimin Yang
- Clinical Medical College & Affiliated Hospital, School of Basic Medical Sciences, Chengdu University, Chengdu, 610106, China
| | - Min Gao
- Clinical Medical College & Affiliated Hospital, School of Basic Medical Sciences, Chengdu University, Chengdu, 610106, China
| | - Zheng Shi
- Clinical Medical College & Affiliated Hospital, School of Basic Medical Sciences, Chengdu University, Chengdu, 610106, China.
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Pillai TK, Johnson KE, Song T, Gregianini TS, Tatiana G. B, Wang G, Medina RA, Van Bakel H, García-Sastre A, Nelson MI, Ghedin E, Veiga ABG. Tracking the emergence of antigenic variants in influenza A virus epidemics in Brazil. Virus Evol 2023; 9:vead027. [PMID: 37207002 PMCID: PMC10191192 DOI: 10.1093/ve/vead027] [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: 02/09/2023] [Revised: 04/04/2023] [Accepted: 04/20/2023] [Indexed: 05/21/2023] Open
Abstract
Influenza A virus (IAV) circulation patterns differ in North America and South America, with influenza seasons often characterized by different subtypes and strains. However, South America is relatively undersampled considering the size of its population. To address this gap, we sequenced the complete genomes of 220 IAVs collected between 2009 and 2016 from hospitalized patients in southern Brazil. New genetic drift variants were introduced into southern Brazil each season from a global gene pool, including four H3N2 clades (3c, 3c2, 3c3, and 3c2a) and five H1N1pdm clades (clades 6, 7, 6b, 6c, and 6b1). In 2016, H1N1pdm viruses belonging to a new 6b1 clade caused a severe influenza epidemic in southern Brazil that arrived early and spread rapidly, peaking mid-autumn. Inhibition assays showed that the A/California/07/2009(H1N1) vaccine strain did not protect well against 6b1 viruses. Phylogenetically, most 6b1 sequences that circulated in southern Brazil belong to a single transmission cluster that rapidly diffused across susceptible populations, leading to the highest levels of influenza hospitalization and mortality seen since the 2009 pandemic. Continuous genomic surveillance is needed to monitor rapidly evolving IAVs for vaccine strain selection and understand their epidemiological impact in understudied regions.
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Affiliation(s)
- Tara K Pillai
- Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, NIH, 50 South Drive, Bethesda, MD 20894, USA
| | - Katherine E Johnson
- Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, NIH, 50 South Drive, Bethesda, MD 20894, USA
- Department of Biology, Center for Genomics & Systems Biology, New York University, 12 Waverly Place, New York, NY 10003, USA
| | - Timothy Song
- Department of Biology, Center for Genomics & Systems Biology, New York University, 12 Waverly Place, New York, NY 10003, USA
| | - Tatiana S Gregianini
- Laboratório Central de Saúde Pública, Centro Estadual de Vigilância em Saúde da Secretaria de Saúde do Estado do Rio Grande do Sul—LACEN/CEVS/SES‐RS, Av. Ipiranga, 5400, Porto Alegre, RS 90450-190, Brazil
| | - Baccin Tatiana G.
- Graduate Program in Pathology, Universidade Federal de Ciências da Saúde de Porto Alegre, Rua Sarmento Leite, 245, Rio Grande do Sul, RS 90050-170, Brazil
- Department of Pediatric Infectious Diseases and Immunology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Marcoleta 391, Santiago, RM 8330024, Chile
| | - Guojun Wang
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai Hospital, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Rafael A Medina
- Department of Pediatric Infectious Diseases and Immunology, Escuela de Medicina, Pontificia Universidad Católica de Chile, Marcoleta 391, Santiago, RM 8330024, Chile
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
- Department of Pathology and Experimental Medicine, School of Medicine, Emory University, 1462 Clifton Road, Office 429, Atlanta, GA 30322, USA
| | - Harm Van Bakel
- Laboratory of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai Hospital, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai Hospital, 1 Gustave L. Levy Place, New York, NY 10029, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai Hospital, 1 Gustave L. Levy Place, New York, NY 10029, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai Hospital, 1 Gustave L. Levy Place, New York, NY 10029, USA
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai Hospital, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Martha I Nelson
- Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, NIH, 50 South Drive, Bethesda, MD 20894, USA
- Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, NIH, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Elodie Ghedin
- Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, NIH, 50 South Drive, Bethesda, MD 20894, USA
- Department of Biology, Center for Genomics & Systems Biology, New York University, 12 Waverly Place, New York, NY 10003, USA
| | - Ana B G Veiga
- Graduate Program in Pathology, Universidade Federal de Ciências da Saúde de Porto Alegre, Rua Sarmento Leite, 245, Rio Grande do Sul, RS 90050-170, Brazil
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai Hospital, 1 Gustave L. Levy Place, New York, NY 10029, USA
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Gorzalski AJ, Kerwin H, Verma S, Hess DC, Sevinsky J, Libuit K, Vlasova-St Louis I, Siao D, Siao L, Buñuel D, Van Hooser S, Pandori MW. Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis. J Mol Diagn 2023; 25:191-196. [PMID: 36754279 PMCID: PMC9902282 DOI: 10.1016/j.jmoldx.2023.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 01/06/2023] [Accepted: 01/12/2023] [Indexed: 02/10/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has provided a stage to illustrate that there is considerable value in obtaining rapid, whole-genome-based information about pathogens. This article describes the utility of a commercially available, automated severe acute respiratory syndrome associated coronavirus 2 (SARS-CoV-2) library preparation, genome sequencing, and a bioinformatics analysis pipeline to provide rapid, near-real-time SARS-CoV-2 variant description. This study evaluated the turnaround time, accuracy, and other quality-related parameters obtained from commercially available automated sequencing instrumentation, from analysis of continuous clinical samples obtained from January 1, 2021, to October 6, 2021. This analysis included a base-by-base assessment of sequencing accuracy at every position in the SARS-CoV-2 chromosome using two commercially available methods. Mean turnaround time, from the receipt of a specimen for SARS-CoV-2 testing to the availability of the results, with lineage assignment, was <3 days. Accuracy of sequencing by one method was 100%, although certain sites on the genome were found repeatedly to have been sequenced with varying degrees of read error rate.
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Affiliation(s)
| | | | - Subhash Verma
- Department of Microbiology and Immunology, University of Nevada-Reno, School of Medicine, Reno, Nevada
| | - David C Hess
- Nevada State Public Health Laboratory, Reno, Nevada; Department of Pathology and Laboratory Medicine, University of Nevada-Reno, School of Medicine, Reno, Nevada
| | | | | | | | | | - Lauren Siao
- Nevada State Public Health Laboratory, Reno, Nevada
| | - Diego Buñuel
- Nevada State Public Health Laboratory, Reno, Nevada
| | | | - Mark W Pandori
- Nevada State Public Health Laboratory, Reno, Nevada; Department of Microbiology and Immunology, University of Nevada-Reno, School of Medicine, Reno, Nevada; Department of Pathology and Laboratory Medicine, University of Nevada-Reno, School of Medicine, Reno, Nevada.
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37
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Ong'era EM, Mohammed KS, Makori TO, Bejon P, Ocholla-Oyier LI, Nokes DJ, Agoti CN, Githinji G. High-throughput sequencing approaches applied to SARS-CoV-2. Wellcome Open Res 2023. [DOI: 10.12688/wellcomeopenres.18701.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023] Open
Abstract
High-throughput sequencing is crucial for surveillance and control of viral outbreaks. During the ongoing coronavirus disease 2019 (COVID-19) pandemic, advances in the high-throughput sequencing technology resources have enhanced diagnosis, surveillance, and vaccine discovery. From the onset of the pandemic in December 2019, several genome-sequencing approaches have been developed and supported across the major sequencing platforms such as Illumina, Oxford Nanopore, PacBio, MGI DNBSEQTM and Ion Torrent. Here, we share insights from the sequencing approaches developed for sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) between December 2019 and October 2022.
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38
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Akerman A, Milogiannakis V, Jean T, Esneau C, Silva MR, Ison T, Fichter C, Lopez JA, Chandra D, Naing Z, Caguicla J, Li D, Walker G, Amatayakul-Chantler S, Roth N, Manni S, Hauser T, Barnes T, Condylios A, Yeang M, Wong M, Foster CSP, Sato K, Lee S, Song Y, Mao L, Sigmund A, Phu A, Vande More AM, Hunt S, Douglas M, Caterson I, Britton W, Sandgren K, Bull R, Lloyd A, Triccas J, Tangye S, Bartlett NW, Darley D, Matthews G, Stark DJ, Petoumenos K, Rawlinson WD, Murrell B, Brilot F, Cunningham AL, Kelleher AD, Aggarwal A, Turville SG. Emergence and antibody evasion of BQ, BA.2.75 and SARS-CoV-2 recombinant sub-lineages in the face of maturing antibody breadth at the population level. EBioMedicine 2023; 90:104545. [PMID: 37002990 PMCID: PMC10060887 DOI: 10.1016/j.ebiom.2023.104545] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 03/13/2023] [Accepted: 03/15/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND The Omicron era of the COVID-19 pandemic commenced at the beginning of 2022 and whilst it started with primarily BA.1, it was latter dominated by BA.2 and the related sub-lineage BA.5. Following resolution of the global BA.5 wave, a diverse grouping of Omicron sub-lineages emerged derived from BA.2, BA.5 and recombinants thereof. Whilst emerging from distinct lineages, all shared similar changes in the Spike glycoprotein affording them an outgrowth advantage through evasion of neutralising antibodies. METHODS Over the course of 2022, we monitored the potency and breadth of antibody neutralization responses to many emerging variants in the Australian community at three levels: (i) we tracked over 420,000 U.S. plasma donors over time through various vaccine booster roll outs and Omicron waves using sequentially collected IgG pools; (ii) we mapped the antibody response in individuals using blood from stringently curated vaccine and convalescent cohorts. (iii) finally we determine the in vitro efficacy of clinically approved therapies Evusheld and Sotrovimab. FINDINGS In pooled IgG samples, we observed the maturation of neutralization breadth to Omicron variants over time through continuing vaccine and infection waves. Importantly, in many cases, we observed increased antibody breadth to variants that were yet to be in circulation. Determination of viral neutralization at the cohort level supported equivalent coverage across prior and emerging variants with isolates BQ.1.1, XBB.1, BR.2.1 and XBF the most evasive. Further, these emerging variants were resistant to Evusheld, whilst increasing neutralization resistance to Sotrovimab was restricted to BQ.1.1 and XBF. We conclude at this current point in time that dominant variants can evade antibodies at levels equivalent to their most evasive lineage counterparts but sustain an entry phenotype that continues to promote an additional outgrowth advantage. In Australia, BR.2.1 and XBF share this phenotype and, in contrast to global variants, are uniquely dominant in this region in the later months of 2022. INTERPRETATION Whilst the appearance of a diverse range of omicron lineages has led to primary or partial resistance to clinically approved monoclonal antibodies, the maturation of the antibody response across both cohorts and a large donor pools importantly observes increasing breadth in the antibody neutralisation responses over time with a trajectory that covers both current and known emerging variants. FUNDING This work was primarily supported by Australian Medical Foundation research grants MRF2005760 (SGT, GM & WDR), Medical Research Future Fund Antiviral Development Call grant (WDR), the New South Wales Health COVID-19 Research Grants Round 2 (SGT & FB) and the NSW Vaccine Infection and Immunology Collaborative (VIIM) (ALC). Variant modeling was supported by funding from SciLifeLab's Pandemic Laboratory Preparedness program to B.M. (VC-2022-0028) and by the European Union's Horizon 2020 research and innovation programme under grant agreement no. 101003653 (CoroNAb) to B.M.
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Affiliation(s)
- Anouschka Akerman
- The Kirby Institute, University of New South Wales, New South Wales, Australia
| | | | - Tyra Jean
- Serology and Virology Division (SAViD), NSW Health Pathology, Randwick, Australia
| | - Camille Esneau
- Hunter Medical Research Institute, University of Newcastle, Callaghan, Australia
| | - Mariana Ruiz Silva
- The Kirby Institute, University of New South Wales, New South Wales, Australia
| | - Timothy Ison
- The Kirby Institute, University of New South Wales, New South Wales, Australia
| | - Christina Fichter
- The Kirby Institute, University of New South Wales, New South Wales, Australia
| | - Joseph A Lopez
- Brain Autoimmunity Group, Kids Neuroscience Centre, The Children's Hospital at Westmead, Faculty of Medicine and Health, School of Medical Sciences, New South Wales, Australia
| | - Deborah Chandra
- The Kirby Institute, University of New South Wales, New South Wales, Australia
| | - Zin Naing
- Serology and Virology Division (SAViD), NSW Health Pathology, Randwick, Australia
| | - Joanna Caguicla
- Serology and Virology Division (SAViD), NSW Health Pathology, Randwick, Australia
| | - Daiyang Li
- Serology and Virology Division (SAViD), NSW Health Pathology, Randwick, Australia
| | - Gregory Walker
- Serology and Virology Division (SAViD), NSW Health Pathology, Randwick, Australia
| | | | - Nathan Roth
- Department of Bioanalytical Sciences, Plasma Product Development, Research & Development, CSL Behring AG, Bern, Switzerland
| | - Sandro Manni
- Plasma Product Development, Research & Development, CSL Behring AG, Bern, Switzerland
| | - Thomas Hauser
- Plasma Product Development, Research & Development, CSL Behring AG, Bern, Switzerland
| | - Thomas Barnes
- Plasma Product Development, Research & Development, CSL Behring AG, Bern, Switzerland
| | - Anna Condylios
- Serology and Virology Division (SAViD), NSW Health Pathology, Randwick, Australia
| | - Malinna Yeang
- Serology and Virology Division (SAViD), NSW Health Pathology, Randwick, Australia
| | - Maureen Wong
- Serology and Virology Division (SAViD), NSW Health Pathology, Randwick, Australia
| | - Charles S P Foster
- Serology and Virology Division (SAViD), NSW Health Pathology, Randwick, Australia
| | - Kenta Sato
- Molecular Diagnostic Medicine Laboratory, Sydpath, St Vincent's Hospital, Sydney, New South Wales, Australia
| | - Sharon Lee
- Research & Education Network, Westmead Hospital, WSLHD, New South Wales, Australia
| | - Yang Song
- Research & Education Network, Westmead Hospital, WSLHD, New South Wales, Australia
| | - Lijun Mao
- Research & Education Network, Westmead Hospital, WSLHD, New South Wales, Australia
| | - Allison Sigmund
- Research & Education Network, Westmead Hospital, WSLHD, New South Wales, Australia
| | - Amy Phu
- Research & Education Network, Westmead Hospital, WSLHD, New South Wales, Australia
| | | | - Stephanie Hunt
- Royal Prince Alfred Hospital, SLHD, New South Wales, Australia
| | - Mark Douglas
- The Westmead Institute for Medical Research, Westmead, New South Wales, Australia; Centre for Infectious Diseases and Microbiology, Sydney Institute for Infectious Diseases, The University of Sydney at Westmead Hospital, Westmead, NSW, Australia
| | - Ian Caterson
- Royal Prince Alfred Hospital, SLHD, New South Wales, Australia
| | - Warwick Britton
- The Centenary Institute, University of Sydney, Camperdown, New South Wales 2050, Australia
| | - Kerrie Sandgren
- The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
| | - Rowena Bull
- The Kirby Institute, University of New South Wales, New South Wales, Australia
| | - Andrew Lloyd
- The Kirby Institute, University of New South Wales, New South Wales, Australia
| | - Jamie Triccas
- Sydney Institute for Infectious Diseases and the Charles Perkins Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Stuart Tangye
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Nathan W Bartlett
- Hunter Medical Research Institute, University of Newcastle, Callaghan, Australia
| | - David Darley
- St Vincent's Hospital, Sydney, New South Wales, Australia
| | - Gail Matthews
- The Kirby Institute, University of New South Wales, New South Wales, Australia; St Vincent's Hospital, Sydney, New South Wales, Australia
| | - Damien J Stark
- Molecular Diagnostic Medicine Laboratory, Sydpath, St Vincent's Hospital, Sydney, New South Wales, Australia
| | - Kathy Petoumenos
- The Kirby Institute, University of New South Wales, New South Wales, Australia
| | - William D Rawlinson
- Serology and Virology Division (SAViD), NSW Health Pathology, Randwick, Australia
| | - Ben Murrell
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Fabienne Brilot
- Brain Autoimmunity Group, Kids Neuroscience Centre, The Children's Hospital at Westmead, Faculty of Medicine and Health, School of Medical Sciences, New South Wales, Australia
| | - Anthony L Cunningham
- The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
| | - Anthony D Kelleher
- The Kirby Institute, University of New South Wales, New South Wales, Australia; St Vincent's Hospital, Sydney, New South Wales, Australia
| | - Anupriya Aggarwal
- The Kirby Institute, University of New South Wales, New South Wales, Australia
| | - Stuart G Turville
- The Kirby Institute, University of New South Wales, New South Wales, Australia.
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Moghadasi SA, Heilmann E, Khalil AM, Nnabuife C, Kearns FL, Ye C, Moraes SN, Costacurta F, Esler MA, Aihara H, von Laer D, Martinez-Sobrido L, Palzkill T, Amaro RE, Harris RS. Transmissible SARS-CoV-2 variants with resistance to clinical protease inhibitors. SCIENCE ADVANCES 2023; 9:eade8778. [PMID: 36989354 PMCID: PMC10058310 DOI: 10.1126/sciadv.ade8778] [Citation(s) in RCA: 66] [Impact Index Per Article: 66.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 02/28/2023] [Indexed: 05/05/2023]
Abstract
Vaccines and drugs have helped reduce disease severity and blunt the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, ongoing virus transmission, continuous evolution, and increasing selective pressures have the potential to yield viral variants capable of resisting these interventions. Here, we investigate the susceptibility of natural variants of the main protease [Mpro; 3C-like protease (3CLpro)] of SARS-CoV-2 to protease inhibitors. Multiple single amino acid changes in Mpro confer resistance to nirmatrelvir (the active component of Paxlovid). An additional clinical-stage inhibitor, ensitrelvir (Xocova), shows a different resistance mutation profile. Importantly, phylogenetic analyses indicate that several of these resistant variants have pre-existed the introduction of these drugs into the human population and are capable of spreading. These results encourage the monitoring of resistance variants and the development of additional protease inhibitors and other antiviral drugs with different mechanisms of action and resistance profiles for combinatorial therapy.
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Affiliation(s)
- Seyed Arad Moghadasi
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
| | - Emmanuel Heilmann
- Institute of Virology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ahmed Magdy Khalil
- Texas Biomedical Research Institute, San Antonio, TX 78227, USA
- Department of Zoonotic Diseases, Faculty of Veterinary Medicine, Zagazig University, Zagazig 44511, Egypt
| | - Christina Nnabuife
- Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Fiona L. Kearns
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Chengjin Ye
- Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Sofia N. Moraes
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
| | | | - Morgan A. Esler
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
| | - Hideki Aihara
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
| | - Dorothee von Laer
- Institute of Virology, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Timothy Palzkill
- Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Rommie E. Amaro
- Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA
| | - Reuben S. Harris
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX 78229, USA
- Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX 78229, USA
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40
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Snell LB, Alcolea-Medina A, Charalampous T, Alder C, Williams TGS, Flaviani F, Batra R, Bakrania P, Thangarajah R, Neil SJD, van Nispen Tot Pannerden C, Botgros A, Aarons E, Douthwaite ST, Edgeworth JD, Nebbia G. Real-Time Whole Genome Sequencing to Guide Patient-Tailored Therapy of Severe Acute Respiratory Syndrome Coronavirus 2 Infection. Clin Infect Dis 2023; 76:1125-1128. [PMID: 36327795 PMCID: PMC10029986 DOI: 10.1093/cid/ciac864] [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] [Received: 09/16/2022] [Revised: 10/20/2022] [Accepted: 10/27/2022] [Indexed: 11/05/2022] Open
Abstract
The management of coronavirus disease 2019 has become more complex due to the expansion of available therapies. The presence of severe acute respiratory syndrome coronavirus 2 variants and mutations further complicates treatment due to their differing susceptibilities to therapies. Here we outline the use of real-time whole genome sequencing to detect persistent infection, evaluate for mutations confering resistance to treatments, and guide treatment decisions.
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Affiliation(s)
- Luke B Snell
- Department of Infection, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | | | | | - Christopher Alder
- Department of Infection, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Tom G S Williams
- Department of Infection, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Flavia Flaviani
- National Institute for Health Research Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Rahul Batra
- Department of Infection, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Prijay Bakrania
- Department of Pharmacy, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Rajeni Thangarajah
- Department of Infection, Guy's and St. Thomas' NHS Foundation Trust, London, UK
- Department of Pharmacy, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Stuart J D Neil
- Department of Infectious Diseases, King's College London, United Kingdom
| | | | - Alina Botgros
- Department of Infection, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Emma Aarons
- Department of Infection, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Samuel T Douthwaite
- Department of Infection, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | | | - Gaia Nebbia
- Department of Infection, Guy's and St. Thomas' NHS Foundation Trust, London, UK
- Department of Infectious Diseases, King's College London, United Kingdom
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41
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Siwy ZS, Bruening ML, Howorka S. Nanopores: synergy from DNA sequencing to industrial filtration - small holes with big impact. Chem Soc Rev 2023; 52:1983-1994. [PMID: 36794856 DOI: 10.1039/d2cs00894g] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Nanopores in thin membranes play important roles in science and industry. Single nanopores have provided a step-change in portable DNA sequencing and understanding nanoscale transport while multipore membranes facilitate food processing and purification of water and medicine. Despite the unifying use of nanopores, the fields of single nanopores and multipore membranes differ - to varying degrees - in terms of materials, fabrication, analysis, and applications. Such a partial disconnect hinders scientific progress as important challenges are best resolved together. This Viewpoint suggests how synergistic crosstalk between the two fields can provide considerable mutual benefits in fundamental understanding and the development of advanced membranes. We first describe the main differences including the atomistic definition of single pores compared to the less defined conduits in multipore membranes. We then outline steps to improve communication between the two fields such as harmonizing measurements and modelling of transport and selectivity. The resulting insight is expected to improve the rational design of porous membranes. The Viewpoint concludes with an outlook of other developments that can be best achieved by collaboration across the two fields to advance the understanding of transport in nanopores and create next-generation porous membranes tailored for sensing, filtration, and other applications.
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Affiliation(s)
- Zuzanna S Siwy
- Department of Physics and Astronomy, University of California, Irvine, USA.
| | - Merlin L Bruening
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, USA.
| | - Stefan Howorka
- Department of Chemistry, Institute of Structural Molecular Biology, University College London, UK.
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42
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Chowdhury T, Cressiot B, Parisi C, Smolyakov G, Thiébot B, Trichet L, Fernandes FM, Pelta J, Manivet P. Circulating Tumor Cells in Cancer Diagnostics and Prognostics by Single-Molecule and Single-Cell Characterization. ACS Sens 2023; 8:406-426. [PMID: 36696289 DOI: 10.1021/acssensors.2c02308] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Circulating tumor cells (CTCs) represent an interesting source of biomarkers for diagnosis, prognosis, and the prediction of cancer recurrence, yet while they are extensively studied in oncobiology research, their diagnostic utility has not yet been demonstrated and validated. Their scarcity in human biological fluids impedes the identification of dangerous CTC subpopulations that may promote metastatic dissemination. In this Perspective, we discuss promising techniques that could be used for the identification of these metastatic cells. We first describe methods for isolating patient-derived CTCs and then the use of 3D biomimetic matrixes in their amplification and analysis, followed by methods for further CTC analyses at the single-cell and single-molecule levels. Finally, we discuss how the elucidation of mechanical and morphological properties using techniques such as atomic force microscopy and molecular biomarker identification using nanopore-based detection could be combined in the future to provide patients and their healthcare providers with a more accurate diagnosis.
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Affiliation(s)
- Tafsir Chowdhury
- Centre de Ressources Biologiques Biobank Lariboisière (BB-0033-00064), DMU BioGem, AP-HP, 75010 Paris, France
| | | | - Cleo Parisi
- Centre de Ressources Biologiques Biobank Lariboisière (BB-0033-00064), DMU BioGem, AP-HP, 75010 Paris, France.,Sorbonne Université, UMR 7574, Laboratoire de Chimie de la Matière Condensée de Paris, 75005 Paris, France
| | - Georges Smolyakov
- Centre de Ressources Biologiques Biobank Lariboisière (BB-0033-00064), DMU BioGem, AP-HP, 75010 Paris, France
| | | | - Léa Trichet
- Sorbonne Université, UMR 7574, Laboratoire de Chimie de la Matière Condensée de Paris, 75005 Paris, France
| | - Francisco M Fernandes
- Sorbonne Université, UMR 7574, Laboratoire de Chimie de la Matière Condensée de Paris, 75005 Paris, France
| | - Juan Pelta
- CY Cergy Paris Université, CNRS, LAMBE, 95000 Cergy, France.,Université Paris-Saclay, Université d'Evry, CNRS, LAMBE, 91190 Evry, France
| | - Philippe Manivet
- Centre de Ressources Biologiques Biobank Lariboisière (BB-0033-00064), DMU BioGem, AP-HP, 75010 Paris, France.,Université Paris Cité, Inserm, NeuroDiderot, F-75019 Paris, France
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43
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Misu M, Yoshikawa T, Sugimoto S, Takamatsu Y, Kurosu T, Ouji Y, Yoshikawa M, Shimojima M, Ebihara H, Saijo M. Rapid whole genome sequencing methods for RNA viruses. Front Microbiol 2023; 14:1137086. [PMID: 36910229 PMCID: PMC9995502 DOI: 10.3389/fmicb.2023.1137086] [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: 01/04/2023] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
RNA viruses are the etiological agents of many infectious diseases. Since RNA viruses are error-prone during genome replication, rapid, accurate and economical whole RNA viral genome sequence determination is highly demanded. Next-generation sequencing (NGS) techniques perform whole viral genome sequencing due to their high-throughput sequencing capacity. However, the NGS techniques involve a significant burden for sample preparation. Since to generate complete viral genome coverage, genomic nucleic acid enrichment is required by reverse transcription PCR using virus-specific primers or by viral particle concentration. Furthermore, conventional NGS techniques cannot determine the 5' and 3' terminal sequences of the RNA viral genome. Therefore, the terminal sequences are determined one by one using rapid amplification of cDNA ends (RACE). However, since some RNA viruses have segmented genomes, the burden of the determination using RACE is proportional to the number of segments. To date, there is only one study attempting whole genome sequencing of multiple RNA viruses without using above mentioned methods, but the generated sequences' accuracy compared to the reference sequences was up to 97% and did not reach 100% due to the low read depth. Hence, we established novel methods, named PCR-NGS and RCA-NGS, that were optimized for an NGS machine, MinION. These methods do not require nucleic acid amplification with virus-specific PCR primers, physical viral particle enrichment, and RACE. These methods enable whole RNA viral genome sequencing by combining the following techniques: (1) removal of unwanted DNA and RNA other than the RNA viral genome by nuclease treatment; (2) the terminal of viral genome sequence determination by barcoded linkers ligation; (3) amplification of the viral genomic cDNA using ligated linker sequences-specific PCR or an isothermal DNA amplification technique, such as rolling circle amplification (RCA). The established method was evaluated using isolated RNA viruses with single-stranded, double-stranded, positive-stranded, negative-stranded, non-segmented or multi-segmented genomes. As a result, all the viral genome sequences could be determined with 100% accuracy, and these mean read depths were greater than 2,500×, at least using either of the methods. This method should allow for easy and economical determination of accurate RNA viral genomes.
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Affiliation(s)
- Masayasu Misu
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
- Department of Pathogen, Infection and Immunity, Nara Medical University, Nara, Japan
| | - Tomoki Yoshikawa
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Satoko Sugimoto
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Yuki Takamatsu
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Takeshi Kurosu
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Yukiteru Ouji
- Department of Pathogen, Infection and Immunity, Nara Medical University, Nara, Japan
| | - Masahide Yoshikawa
- Department of Pathogen, Infection and Immunity, Nara Medical University, Nara, Japan
| | - Masayuki Shimojima
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Hideki Ebihara
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
| | - Masayuki Saijo
- Department of Virology I, National Institute of Infectious Diseases, Tokyo, Japan
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44
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Stierlen A, Greive SJ, Bacri L, Manivet P, Cressiot B, Pelta J. Nanopore Discrimination of Coagulation Biomarker Derivatives and Characterization of a Post-Translational Modification. ACS CENTRAL SCIENCE 2023; 9:228-238. [PMID: 36844502 PMCID: PMC9951287 DOI: 10.1021/acscentsci.2c01256] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Indexed: 06/18/2023]
Abstract
One of the most important health challenges is the early and ongoing detection of disease for prevention, as well as personalized treatment management. Development of new sensitive analytical point-of-care tests are, therefore, necessary for direct biomarker detection from biofluids as critical tools to address the healthcare needs of an aging global population. Coagulation disorders associated with stroke, heart attack, or cancer are defined by an increased level of the fibrinopeptide A (FPA) biomarker, among others. This biomarker exists in more than one form: it can be post-translationally modified with a phosphate and also cleaved to form shorter peptides. Current assays are long and have difficulties in discriminating between these derivatives; hence, this is an underutilized biomarker for routine clinical practice. We use nanopore sensing to identify FPA, the phosphorylated FPA, and two derivatives. Each of these peptides is characterized by unique electrical signals for both dwell time and blockade level. We also show that the phosphorylated form of FPA can adopt two different conformations, each of which have different values for each electrical parameter. We were able to use these parameters to discriminate these peptides from a mix, thereby opening the way for the potential development of new point-of-care tests.
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Affiliation(s)
- Aïcha Stierlen
- LAMBE,
CNRS, CY Cergy Paris Université, 95033 Cergy, France
| | | | - Laurent Bacri
- LAMBE,
CNRS, Univ Evry, Université Paris-Saclay, 91025 Evry-Courcouronnes, France
| | - Philippe Manivet
- Centre
de Ressources Biologiques Biobank Lariboisière (BB-0033-00064), DMU BioGem, AP-HP, 75475 Paris, France
- Université
Paris Cité, Inserm, NeuroDiderot, F-75019 Paris, France
| | | | - Juan Pelta
- LAMBE,
CNRS, CY Cergy Paris Université, 95033 Cergy, France
- LAMBE,
CNRS, Univ Evry, Université Paris-Saclay, 91025 Evry-Courcouronnes, France
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45
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An Evaluation of Avian Influenza Virus Whole-Genome Sequencing Approaches Using Nanopore Technology. Microorganisms 2023; 11:microorganisms11020529. [PMID: 36838494 PMCID: PMC9967579 DOI: 10.3390/microorganisms11020529] [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: 01/20/2023] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
As exemplified by the global response to the SARS-CoV-2 pandemic, whole-genome sequencing played an important role in monitoring the evolution of novel viral variants and provided guidance on potential antiviral treatments. The recent rapid and extensive introduction and spread of highly pathogenic avian influenza virus in Europe, North America, and elsewhere raises the need for similarly rapid sequencing to aid in appropriate response and mitigation activities. To facilitate this objective, we investigate a next-generation sequencing platform that uses a portable nanopore sequencing device to generate and present data in real time. This platform offers the potential to extend in-house sequencing capacities to laboratories that may otherwise lack resources to adopt sequencing technologies requiring large benchtop instruments. We evaluate this platform for routine use in a diagnostic laboratory. In this study, we evaluate different primer sets for the whole genome amplification of influenza A virus and evaluate five different library preparation approaches for sequencing on the nanopore platform using the MinION flow cell. A limited amplification procedure and a rapid procedure are found to be best among the approaches taken.
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46
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Damin F, Galbiati S, Clementi N, Ferrarese R, Mancini N, Sola L, Chiari M. Dual-Domain Reporter Approach for Multiplex Identification of Major SARS-CoV-2 Variants of Concern in a Microarray-Based Assay. BIOSENSORS 2023; 13:269. [PMID: 36832035 PMCID: PMC9953785 DOI: 10.3390/bios13020269] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/06/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Since the emergence of the COVID-19 pandemic in December 2019, the SARS-CoV-2 virus continues to evolve into many variants emerging around the world. To enable regular surveillance and timely adjustments in public health interventions, it is of the utmost importance to accurately monitor and track the distribution of variants as rapidly as possible. Genome sequencing is the gold standard for monitoring the evolution of the virus, but it is not cost-effective, rapid and easily accessible. We have developed a microarray-based assay that can distinguish known viral variants present in clinical samples by simultaneously detecting mutations in the Spike protein gene. In this method, the viral nucleic acid, extracted from nasopharyngeal swabs, after RT-PCR, hybridizes in solution with specific dual-domain oligonucleotide reporters. The domains complementary to the Spike protein gene sequence encompassing the mutation form hybrids in solution that are directed by the second domain ("barcode" domain) at specific locations on coated silicon chips. The method utilizes characteristic fluorescence signatures to unequivocally differentiate, in a single assay, different known SARS-CoV-2 variants. In the nasopharyngeal swabs of patients, this multiplex system was able to genotype the variants which have caused waves of infections worldwide, reported by the WHO as being of concern (VOCs), namely Alpha, Beta, Gamma, Delta and Omicron variants.
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Affiliation(s)
- Francesco Damin
- National Research Council of Italy, Institute of Chemical Sciences and Technologies “G. Natta”, 20131 Milan, Italy
| | - Silvia Galbiati
- Complications of Diabetes Units, Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
| | - Nicola Clementi
- Laboratory of Medical Microbiology and Virology, Vita-Salute San Raffaele University, 20132 Milan, Italy
- Laboratory of Medical Microbiology and Virology, IRCCS San Raffaele Hospital, 20132 Milan, Italy
| | - Roberto Ferrarese
- Laboratory of Medical Microbiology and Virology, IRCCS San Raffaele Hospital, 20132 Milan, Italy
| | - Nicasio Mancini
- Laboratory of Medical Microbiology and Virology, Vita-Salute San Raffaele University, 20132 Milan, Italy
- Laboratory of Medical Microbiology and Virology, IRCCS San Raffaele Hospital, 20132 Milan, Italy
| | - Laura Sola
- National Research Council of Italy, Institute of Chemical Sciences and Technologies “G. Natta”, 20131 Milan, Italy
| | - Marcella Chiari
- National Research Council of Italy, Institute of Chemical Sciences and Technologies “G. Natta”, 20131 Milan, Italy
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47
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Ilié M, Benzaquen J, Hofman V, Long-Mira E, Lassalle S, Boutros J, Bontoux C, Lespinet-Fabre V, Bordone O, Tanga V, Allegra M, Salah M, Fayada J, Leroy S, Vassallo M, Touitou I, Courjon J, Contenti J, Carles M, Marquette CH, Hofman P. Accurate Detection of SARS-CoV-2 by Next-Generation Sequencing in Low Viral Load Specimens. Int J Mol Sci 2023; 24:ijms24043478. [PMID: 36834888 PMCID: PMC9964843 DOI: 10.3390/ijms24043478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/16/2023] [Accepted: 02/06/2023] [Indexed: 02/12/2023] Open
Abstract
As new SARS-CoV-2 variants emerge, there is an urgent need to increase the efficiency and availability of viral genome sequencing, notably to detect the lineage in samples with a low viral load. SARS-CoV-2 genome next-generation sequencing (NGS) was performed retrospectively in a single center on 175 positive samples from individuals. An automated workflow used the Ion AmpliSeq SARS-CoV-2 Insight Research Assay on the Genexus Sequencer. All samples were collected in the metropolitan area of the city of Nice (France) over a period of 32 weeks (from 19 July 2021 to 11 February 2022). In total, 76% of cases were identified with a low viral load (Ct ≥ 32, and ≤200 copies/µL). The NGS analysis was successful in 91% of cases, among which 57% of cases harbored the Delta variant, and 34% the Omicron BA.1.1 variant. Only 9% of cases had unreadable sequences. There was no significant difference in the viral load in patients infected with the Omicron variant compared to the Delta variant (Ct values, p = 0.0507; copy number, p = 0.252). We show that the NGS analysis of the SARS-CoV-2 genome provides reliable detection of the Delta and Omicron SARS-CoV-2 variants in low viral load samples.
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Affiliation(s)
- Marius Ilié
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Team 4, Institute of Research on Cancer and Aging (IRCAN), CNRS INSERM, Université Côte d’Azur, 06107 Nice, France
| | - Jonathan Benzaquen
- Team 4, Institute of Research on Cancer and Aging (IRCAN), CNRS INSERM, Université Côte d’Azur, 06107 Nice, France
- Department of Pulmonary Medicine and Oncology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
| | - Véronique Hofman
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Team 4, Institute of Research on Cancer and Aging (IRCAN), CNRS INSERM, Université Côte d’Azur, 06107 Nice, France
| | - Elodie Long-Mira
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Team 4, Institute of Research on Cancer and Aging (IRCAN), CNRS INSERM, Université Côte d’Azur, 06107 Nice, France
| | - Sandra Lassalle
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Team 4, Institute of Research on Cancer and Aging (IRCAN), CNRS INSERM, Université Côte d’Azur, 06107 Nice, France
| | - Jacques Boutros
- Department of Pulmonary Medicine and Oncology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
| | - Christophe Bontoux
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Team 4, Institute of Research on Cancer and Aging (IRCAN), CNRS INSERM, Université Côte d’Azur, 06107 Nice, France
| | - Virginie Lespinet-Fabre
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
| | - Olivier Bordone
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
| | - Virginie Tanga
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
| | - Maryline Allegra
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
| | - Myriam Salah
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
| | - Julien Fayada
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
| | - Sylvie Leroy
- Department of Pulmonary Medicine and Oncology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
| | - Matteo Vassallo
- Department of Internal Medicine and Oncology, Centre Hospitalier de Cannes, 06400 Cannes, France
| | - Irit Touitou
- Department of Infectious Diseases, Hôpital Archet 1, Centre Hospitalier Universitaire de Nice, Université Côte d’Azur, 06200 Nice, France
| | - Johan Courjon
- Department of Infectious Diseases, Hôpital Archet 1, Centre Hospitalier Universitaire de Nice, Université Côte d’Azur, 06200 Nice, France
| | - Julie Contenti
- Emergency Department, Hôpital Pasteur 2, Centre Hospitalier Universitaire de Nice, Université Côte d’Azur, 06000 Nice, France
| | - Michel Carles
- Department of Infectious Diseases, Hôpital Archet 1, Centre Hospitalier Universitaire de Nice, Université Côte d’Azur, 06200 Nice, France
| | - Charles-Hugo Marquette
- Team 4, Institute of Research on Cancer and Aging (IRCAN), CNRS INSERM, Université Côte d’Azur, 06107 Nice, France
- Department of Pulmonary Medicine and Oncology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France
- Team 4, Institute of Research on Cancer and Aging (IRCAN), CNRS INSERM, Université Côte d’Azur, 06107 Nice, France
- Correspondence:
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48
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Andersen P, Barksdale S, Barclay RA, Smith N, Fernandes J, Besse K, Goldfarb D, Barbero R, Dunlap R, Jones-Roe T, Kelly R, Miao S, Ruhunusiri C, Munns A, Mosavi S, Sanson L, Munns D, Sahoo S, Swahn O, Hull K, White D, Kolb K, Noroozi F, Seelam J, Patnaik A, Lepene B. Magnetic hydrogel particles improve nanopore sequencing of SARS-CoV-2 and other respiratory viruses. Sci Rep 2023; 13:2163. [PMID: 36750714 PMCID: PMC9903261 DOI: 10.1038/s41598-023-29206-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 01/31/2023] [Indexed: 02/09/2023] Open
Abstract
Presented here is a magnetic hydrogel particle enabled workflow for capturing and concentrating SARS-CoV-2 from diagnostic remnant swab samples that significantly improves sequencing results using the Oxford Nanopore Technologies MinION sequencing platform. Our approach utilizes a novel affinity-based magnetic hydrogel particle, circumventing low input sample volumes and allowing for both rapid manual and automated high throughput workflows that are compatible with Nanopore sequencing. This approach enhances standard RNA extraction protocols, providing up to 40 × improvements in viral mapped reads, and improves sequencing coverage by 20-80% from lower titer diagnostic remnant samples. Furthermore, we demonstrate that this approach works for contrived influenza virus and respiratory syncytial virus samples, suggesting that it can be used to identify and improve sequencing results of multiple viruses in VTM samples. These methods can be performed manually or on a KingFisher automation platform.
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Affiliation(s)
- P Andersen
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA.
| | - S Barksdale
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - R A Barclay
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - N Smith
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - J Fernandes
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - K Besse
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - D Goldfarb
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - R Barbero
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - R Dunlap
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - T Jones-Roe
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - R Kelly
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - S Miao
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - C Ruhunusiri
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - A Munns
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - S Mosavi
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - L Sanson
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - D Munns
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - S Sahoo
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - O Swahn
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - K Hull
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - D White
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - K Kolb
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - F Noroozi
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - J Seelam
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - A Patnaik
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA
| | - B Lepene
- Ceres Nanosciences, Inc., Manassas, VA, 20110, USA.
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49
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Chen P, Sun Z, Wang J, Liu X, Bai Y, Chen J, Liu A, Qiao F, Chen Y, Yuan C, Sha J, Zhang J, Xu LQ, Li J. Portable nanopore-sequencing technology: Trends in development and applications. Front Microbiol 2023; 14:1043967. [PMID: 36819021 PMCID: PMC9929578 DOI: 10.3389/fmicb.2023.1043967] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/03/2023] [Indexed: 02/04/2023] Open
Abstract
Sequencing technology is the most commonly used technology in molecular biology research and an essential pillar for the development and applications of molecular biology. Since 1977, when the first generation of sequencing technology opened the door to interpreting the genetic code, sequencing technology has been developing for three generations. It has applications in all aspects of life and scientific research, such as disease diagnosis, drug target discovery, pathological research, species protection, and SARS-CoV-2 detection. However, the first- and second-generation sequencing technology relied on fluorescence detection systems and DNA polymerization enzyme systems, which increased the cost of sequencing technology and limited its scope of applications. The third-generation sequencing technology performs PCR-free and single-molecule sequencing, but it still depends on the fluorescence detection device. To break through these limitations, researchers have made arduous efforts to develop a new advanced portable sequencing technology represented by nanopore sequencing. Nanopore technology has the advantages of small size and convenient portability, independent of biochemical reagents, and direct reading using physical methods. This paper reviews the research and development process of nanopore sequencing technology (NST) from the laboratory to commercially viable tools; discusses the main types of nanopore sequencing technologies and their various applications in solving a wide range of real-world problems. In addition, the paper collates the analysis tools necessary for performing different processing tasks in nanopore sequencing. Finally, we highlight the challenges of NST and its future research and application directions.
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Affiliation(s)
- Pin Chen
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Zepeng Sun
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China
| | - Jiawei Wang
- School of Computer Science and Technology, Southeast University, Nanjing, China
| | - Xinlong Liu
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China
| | - Yun Bai
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Jiang Chen
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Anna Liu
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Feng Qiao
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China
| | - Yang Chen
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China
| | - Chenyan Yuan
- Clinical Laboratory, Southeast University Zhongda Hospital, Nanjing, China
| | - Jingjie Sha
- School of Mechanical Engineering, Southeast University, Nanjing, China
| | - Jinghui Zhang
- School of Computer Science and Technology, Southeast University, Nanjing, China
| | - Li-Qun Xu
- China Mobile (Chengdu) Industrial Research Institute, Chengdu, China,*Correspondence: Li-Qun Xu, ✉
| | - Jian Li
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing, China,Jian Li, ✉
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50
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Yandle Z, Gonzalez G, Carr M, Matthijnssens J, De Gascun C. A viral metagenomic protocol for nanopore sequencing of group A rotavirus. J Virol Methods 2023; 312:114664. [PMID: 36494024 DOI: 10.1016/j.jviromet.2022.114664] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022]
Abstract
AIM Development of an unbiased methodology using Oxford Nanopore Technology (ONT) sequencing to obtain whole-genome sequences (WGS) of Rotavirus A (RVA) from clinical samples. METHODS 157 RVA qRT-PCR positive faecal samples were enriched by virus-like particle (VLP) purification and host nuclease digestion to enhance the detection of viral nucleic acids and cDNA generated as per the NetoVIR protocol. ONT sequencing was then performed using the ONT Native Barcoding kit (SQK-LSK-109) on the GridION platform. Data was basecalled, demultiplexed and assembled into near complete RVA genomes. The accuracy and quality of the obtained sequences was assessed by comparing to Sanger sequencing and RVA reference genomes. RESULTS The developed protocol generated 146 near-complete RVA WGS out of the 157 RVA-positive clinical samples. The quality of the assembled genomes was assessed by comparison against publicly-available sequences with results showing 98.76 % ± 0.03 % similarity and > 90 % genome coverage. A concordance assessment was performed comparing the identity of partial RVA VP7 and VP4 segments obtained by Sanger sequencing (n = 51) against corresponding nanopore sequences which demonstrated an overall identity of 100.0 % ± 0.02 %. CONCLUSIONS The nanopore protocol generated both high quality and accurate RVA WGS extracted from faecal samples. This protocol can be extended to other viral agents in other sample types.
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Affiliation(s)
- Zoe Yandle
- UCD National Virus Reference Laboratory, University College Dublin, Belfield, Dublin, Ireland.
| | - Gabriel Gonzalez
- UCD National Virus Reference Laboratory, University College Dublin, Belfield, Dublin, Ireland; International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, 001-0020, Japan; Japan Initiative for World-leading Vaccine Research and Development Centers, Hokkaido University, Institute for Vaccine Research and Development, Hokkaido, Japan
| | - Michael Carr
- UCD National Virus Reference Laboratory, University College Dublin, Belfield, Dublin, Ireland; International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, 001-0020, Japan
| | - Jelle Matthijnssens
- Laboratory of Viral Metagenomics, Department of Microbiology, Immunology and Transplantation, Rega Institute, Leuven, Belgium
| | - Cillian De Gascun
- UCD National Virus Reference Laboratory, University College Dublin, Belfield, Dublin, Ireland
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