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Agüero B, Berrios F, Pardo-Roa C, Ariyama N, Bennett B, Medina RA, Neira V. First detection of Omicron variant BA.4.1 lineage in dogs, Chile. Vet Q 2024; 44:1-10. [PMID: 38174799 PMCID: PMC10769545 DOI: 10.1080/01652176.2023.2298089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 12/16/2023] [Indexed: 01/05/2024] Open
Abstract
SARS-CoV-2's rapid global spread caused the declaration of COVID-19 as a pandemic in March 2020. Alongside humans, domestic dogs and cats are also susceptible to infection. However, limited reports on pet infections in Chile prompted a comprehensive study to address this knowledge gap. Between March 2021 and March 2023, the study assessed 65 pets (26 dogs and 39 cats) from 33 COVID-19+ households alongside 700 nasal swabs from animals in households with unknown COVID-19 status. Using RT-PCR, nasal, fecal, and environmental samples were analyzed for the virus. In COVID-19+ households, 6.06% tested positive for SARS-CoV-2, belonging to 3 dogs, indicating human-to-pet transmission. Pets from households with unknown COVID-19 status tested negative for the virus. We obtained 2 SARS-CoV-2 genomes from animals, that belonged to Omicron BA.4.1 variant, marking the first report of pets infected with this lineage globally. Phylogenetic analysis showed these sequences clustered with human sequences collected in Chile during the same period when the BA.4.1 variant was prevalent in the country. The prevalence of SARS-CoV-2 in Chilean pets was relatively low, likely due to the country's high human vaccination rate. Our study highlights the importance of upholding and strengthening human vaccination strategies to mitigate the risk of interspecies transmission. It underscores the critical role of the One Health approach in addressing emerging zoonotic diseases, calling for further research on infection dynamics and risk factors for a comprehensive understanding.
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Affiliation(s)
- B. Agüero
- Programa de Doctorado en Ciencias Silvoagropecuarias y Veterinarias, Universidad de Chile, Santiago, Chile
- Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile
| | - F. Berrios
- Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile
| | - C. Pardo-Roa
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Child and Adolescent Health, School of Nursing, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - N. Ariyama
- Programa de Doctorado en Ciencias Silvoagropecuarias y Veterinarias, Universidad de Chile, Santiago, Chile
- Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile
| | - B. Bennett
- Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile
| | - RA. Medina
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Pathology and Laboratory Medicine, School of Medicine, Emory Vaccine Center, Emory University, Atlanta, GA, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - V. Neira
- Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile
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Folkes M, Castro-Gutierrez V, Lundy L, Bajón-Fernández Y, Soares A, Jeffrey P, Hassard F. Campus source to sink wastewater surveillance of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). CURRENT RESEARCH IN MICROBIAL SCIENCES 2024; 6:100240. [PMID: 38774836 PMCID: PMC11106825 DOI: 10.1016/j.crmicr.2024.100240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2024] Open
Abstract
Wastewater-based surveillance (WBS) offers an aggregate, and cost-effective approach for tracking infectious disease outbreak prevalence within communities, that provides data on community health complementary to individual clinical testing. This study reports on a 16-month WBS initiative on a university campus in England, UK, assessing the presence of SARS-CoV-2 in sewers from large buildings, downstream sewer locations, raw wastewater, partially treated and treated effluents. Key findings include the detection of the Alpha (B.1.1.7) variant in wastewater, with 70 % of confirmed campus cases correlating with positive wastewater samples. Notably, ammonium nitrogen (NH4-N) levels showed a positive correlation (ρ = 0.543, p < 0.01) with virus levels at the large building scale, a relationship not observed at the sewer or wastewater treatment works (WWTW) levels due to dilution. The WWTW was compliant to wastewater standards, but the secondary treatment processes were not efficient for virus removal as SARS-CoV-2 was consistently detected in treated discharges. Tools developed through WBS can also be used to enhance traditional environmental monitoring of aquatic systems. This study provides a detailed source-to-sink evaluation, emphasizing the critical need for the widespread application and improvement of WBS. It showcases WBS utility and reinforces the ongoing challenges posed by viruses to receiving water quality.
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Affiliation(s)
- M. Folkes
- Cranfield University, College Road, Cranfield, Bedfordshire, MK43 0AL, UK
| | - V.M. Castro-Gutierrez
- Center for Research on Environmental Pollution (CICA), Universidad de Costa Rica, Montes de Oca, 11501, Costa Rica
| | - L. Lundy
- Department of Natural Sciences, Middlesex University, NW4 4BT, UK
| | - Y. Bajón-Fernández
- Cranfield University, College Road, Cranfield, Bedfordshire, MK43 0AL, UK
| | - A. Soares
- Cranfield University, College Road, Cranfield, Bedfordshire, MK43 0AL, UK
| | - P. Jeffrey
- Cranfield University, College Road, Cranfield, Bedfordshire, MK43 0AL, UK
| | - F. Hassard
- Cranfield University, College Road, Cranfield, Bedfordshire, MK43 0AL, UK
- Institute for Nanotechnology and Water Sustainability, College of Science, Engineering and Technology, University of South Africa, Johannesburg, South Africa
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3
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Hunt M, Hinrichs AS, Anderson D, Karim L, Dearlove BL, Knaggs J, Constantinides B, Fowler PW, Rodger G, Street T, Lumley S, Webster H, Sanderson T, Ruis C, de Maio N, Amenga-Etego LN, Amuzu DSY, Avaro M, Awandare GA, Ayivor-Djanie R, Bashton M, Batty EM, Bediako Y, De Belder D, Benedetti E, Bergthaler A, Boers SA, Campos J, Carr RAA, Cuba F, Dattero ME, Dejnirattisai W, Dilthey A, Duedu KO, Endler L, Engelmann I, Francisco NM, Fuchs J, Gnimpieba EZ, Groc S, Gyamfi J, Heemskerk D, Houwaart T, Hsiao NY, Huska M, Hölzer M, Iranzadeh A, Jarva H, Jeewandara C, Jolly B, Joseph R, Kant R, Ki KKK, Kurkela S, Lappalainen M, Lataretu M, Liu C, Malavige GN, Mashe T, Mongkolsapaya J, Montes B, Molina Mora JA, Morang'a CM, Mvula B, Nagarajan N, Nelson A, Ngoi JM, da Paixão JP, Panning M, Poklepovich T, Quashie PK, Ranasinghe D, Russo M, San JE, Sanderson ND, Scaria V, Screaton G, Sironen T, Sisay A, Smith D, Smura T, Supasa P, Suphavilai C, Swann J, Tegally H, Tegomoh B, Vapalahti O, Walker A, Wilkinson RJ, Williamson C, de Oliveira T, Peto TE, Crook D, Corbett-Detig R, Iqbal Z. Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.29.591666. [PMID: 38746185 PMCID: PMC11092452 DOI: 10.1101/2024.04.29.591666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
The SARS-CoV-2 genome occupies a unique place in infection biology - it is the most highly sequenced genome on earth (making up over 20% of public sequencing datasets) with fine scale information on sampling date and geography, and has been subject to unprecedented intense analysis. As a result, these phylogenetic data are an incredibly valuable resource for science and public health. However, the vast majority of the data was sequenced by tiling amplicons across the full genome, with amplicon schemes that changed over the pandemic as mutations in the viral genome interacted with primer binding sites. In combination with the disparate set of genome assembly workflows and lack of consistent quality control (QC) processes, the current genomes have many systematic errors that have evolved with the virus and amplicon schemes. These errors have significant impacts on the phylogeny, and therefore over the last few years, many thousands of hours of researchers time has been spent in "eyeballing" trees, looking for artefacts, and then patching the tree. Given the huge value of this dataset, we therefore set out to reprocess the complete set of public raw sequence data in a rigorous amplicon-aware manner, and build a cleaner phylogeny. Here we provide a global tree of 3,960,704 samples, built from a consistently assembled set of high quality consensus sequences from all available public data as of March 2023, viewable at https://viridian.taxonium.org. Each genome was constructed using a novel assembly tool called Viridian (https://github.com/iqbal-lab-org/viridian), developed specifically to process amplicon sequence data, eliminating artefactual errors and mask the genome at low quality positions. We provide simulation and empirical validation of the methodology, and quantify the improvement in the phylogeny. Phase 2 of our project will address the fact that the data in the public archives is heavily geographically biased towards the Global North. We therefore have contributed new raw data to ENA/SRA from many countries including Ghana, Thailand, Laos, Sri Lanka, India, Argentina and Singapore. We will incorporate these, along with all public raw data submitted between March 2023 and the current day, into an updated set of assemblies, and phylogeny. We hope the tree, consensus sequences and Viridian will be a valuable resource for researchers.
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Affiliation(s)
- Martin Hunt
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way, Oxford, UK
- Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK
| | - Angie S Hinrichs
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA
| | - Daniel Anderson
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
| | - Lily Karim
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA
| | - Bethany L Dearlove
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna 1090, Austria
| | - Jeff Knaggs
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way, Oxford, UK
- Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK
| | - Bede Constantinides
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK
| | - Philip W Fowler
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way, Oxford, UK
- Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK
| | - Gillian Rodger
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK
| | - Teresa Street
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way, Oxford, UK
| | - Sheila Lumley
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Infectious Diseases and Microbiology, John Radcliffe Hospital, Oxford, UK
| | - Hermione Webster
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - Christopher Ruis
- Victor Phillip Dahdaleh Heart & Lung Research Institute, University of Cambridge, Cambridge, UK
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Nicola de Maio
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
| | - Lucas N Amenga-Etego
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Dominic S Y Amuzu
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Martin Avaro
- Servicio de Virus Respiratorios, Instituto Nacional Enfermedades Infecciosas, ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | - Gordon A Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Reuben Ayivor-Djanie
- Laboratory for Medical Biotechnology and Biomanufacturing, International Centre for Genetic Engineering and Biotechnology, Tristie, Italy
- Department of Biomedical Sciences, University of Health and Allied Sciences, Ho, Ghana
| | - Matthew Bashton
- The Hub for Biotechnology in the Built Environment, Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK
| | - Elizabeth M Batty
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - Yaw Bediako
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Denise De Belder
- Unidad Operativa Centro Nacional de Genómica y Bioinformática, ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | - Estefania Benedetti
- Servicio de Virus Respiratorios, Instituto Nacional Enfermedades Infecciosas, ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | - Andreas Bergthaler
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna 1090, Austria
| | - Stefan A Boers
- Dept. Medical Microbiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Josefina Campos
- Unidad Operativa Centro Nacional de Genómica y Bioinformática, ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | - Rosina Afua Ampomah Carr
- Department of Biomedical Sciences, University of Health and Allied Sciences, Ho, Ghana
- Department of Computational Medicine and Bioinformatics, University of Michigan, Michigan, Ann Arbor, MI, USA
| | - Facundo Cuba
- Unidad Operativa Centro Nacional de Genómica y Bioinformática, ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | - Maria Elena Dattero
- Servicio de Virus Respiratorios, Instituto Nacional Enfermedades Infecciosas, ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | - Wanwisa Dejnirattisai
- Division of Emerging Infectious Disease, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkoknoi, Bangkok 10700, Thailand
| | - Alexander Dilthey
- Institute of Medical Microbiology and Hospital Hygiene, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Kwabena Obeng Duedu
- Department of Biomedical Sciences, University of Health and Allied Sciences, Ho, Ghana
- College of Life Sciences, Birmingham City University, Birmingham, UK
| | - Lukas Endler
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna 1090, Austria
| | - Ilka Engelmann
- Pathogenesis and Control of Chronic and Emerging Infections, Univ Montpellier, INSERM, Etablissement Français du Sang, Virology Laboratory, CHU Montpellier, Montpellier, France
| | - Ngiambudulu M Francisco
- Grupo de Investigação Microbiana e Imunológica, Instituto Nacional de Investigação em Saúde (National Institute for Health Research), Luanda, Angola
| | - Jonas Fuchs
- Institute of Virology, Freiburg University Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Etienne Z Gnimpieba
- Biomedical Engineering Department, University of South Dakota, Sioux Falls, SD 57107
| | - Soraya Groc
- Virology Laboratory, CHU Montpellier, Montpellier, France
| | - Jones Gyamfi
- Department of Biomedical Sciences, University of Health and Allied Sciences, Ho, Ghana
- School of Health and Life Sciences, Teesside University, Middlesbrough, UK
| | - Dennis Heemskerk
- Dept. Medical Microbiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Torsten Houwaart
- Institute of Medical Microbiology and Hospital Hygiene, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Nei-Yuan Hsiao
- Divison of Medical Virology, University of Cape Town and National Health Laboratory Service
| | - Matthew Huska
- Genome Competence Center (MF1), Robert Koch Institute, Nordufer 20, 13353 Berlin, Germany
| | - Martin Hölzer
- Genome Competence Center (MF1), Robert Koch Institute, Nordufer 20, 13353 Berlin, Germany
| | | | - Hanna Jarva
- HUS Diagnostic Center, Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Chandima Jeewandara
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Bani Jolly
- Karkinos Healthcare Private Limited (KHPL), Aurbis Business Parks, Bellandur, Bengaluru, Karnataka, 560103, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, India
| | | | - Ravi Kant
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland
- Department of Virology, University of Helsinki, 00014 Helsinki, Finland
- Department of Tropical Parasitology, Institute of Maritime and Tropical Medicine, Medical University of Gdansk, 81-519 Gdynia, Poland
| | | | - Satu Kurkela
- HUS Diagnostic Center, Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Maija Lappalainen
- HUS Diagnostic Center, Clinical Microbiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Marie Lataretu
- Genome Competence Center (MF1), Robert Koch Institute, Nordufer 20, 13353 Berlin, Germany
| | - Chang Liu
- Chinese Academy of Medical Science (CAMS) Oxford Institute (COI), University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Gathsaurie Neelika Malavige
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Tapfumanei Mashe
- Health System Strengthening Unit, World Health Organisation, Harare, Zimbabwe
| | - Juthathip Mongkolsapaya
- Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand
- Chinese Academy of Medical Science (CAMS) Oxford Institute (COI), University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - Jose Arturo Molina Mora
- Centro de investigación en Enfermedades Tropicales & Facultad de Microbiología, Universidad de Costa Rica, Costa Rica
| | - Collins M Morang'a
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Bernard Mvula
- Public Health Institute of Malawi, Ministry of Health, Malawi
| | - Niranjan Nagarajan
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Andrew Nelson
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK
| | - Joyce M Ngoi
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Joana Paula da Paixão
- Grupo de Investigação Microbiana e Imunológica, Instituto Nacional de Investigação em Saúde (National Institute for Health Research), Luanda, Angola
| | - Marcus Panning
- Institute of Virology, Freiburg University Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Tomas Poklepovich
- Unidad Operativa Centro Nacional de Genómica y Bioinformática, ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | - Peter K Quashie
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Diyanath Ranasinghe
- Allergy Immunology and Cell Biology Unit, Department of Immunology and Molecular Medicine, University of Sri Jayewardenepura, Nugegoda, Sri Lanka
| | - Mara Russo
- Servicio de Virus Respiratorios, Instituto Nacional Enfermedades Infecciosas, ANLIS "Dr. Carlos G. Malbrán", Buenos Aires, Argentina
| | - James Emmanuel San
- Duke Human Vaccine Institute, Duke University, Durham, NC 27710
- University of KwaZulu Natal, Durban, South Africa, 4001
| | - Nicholas D Sanderson
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way, Oxford, UK
| | - Vinod Scaria
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, India
- Vishwanath Cancer Care Foundation (VCCF), Neelkanth Business Park Kirol Village, West Mumbai, Maharashtra, 400086, India
| | - Gavin Screaton
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Tarja Sironen
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland
- Department of Virology, University of Helsinki, 00014 Helsinki, Finland
| | - Abay Sisay
- Department of Medical Laboratory Sciences, College of Health Sciences, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia
| | - Darren Smith
- The Hub for Biotechnology in the Built Environment, Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK
| | - Teemu Smura
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland
- Department of Virology, University of Helsinki, 00014 Helsinki, Finland
| | - Piyada Supasa
- Chinese Academy of Medical Science (CAMS) Oxford Institute (COI), University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Chayaporn Suphavilai
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Jeremy Swann
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Houriiyah Tegally
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
| | - Bryan Tegomoh
- Centre de Coordination des Opérations d'Urgences de Santé Publique, Ministere de Sante Publique, Cameroun
- University of California, Berkeley, Berkeley, California, USA
- Nebraska Department of Health and Human Services, Lincoln, Nebraska, USA
| | - Olli Vapalahti
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland
- Department of Virology, University of Helsinki, 00014 Helsinki, Finland
| | - Andreas Walker
- Institute of Virology, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Robert J Wilkinson
- Francis Crick Institute, London, UK
- Centre for Infectious Diseases Research in Africa, University of Cape Town
- Imperial College London, UK
| | | | - Tulio de Oliveira
- Centre for Epidemic Response and Innovation (CERI), Stellenbosch University, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), University of KwaZulu-Natal, South Africa
| | - Timothy Ea Peto
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Derrick Crook
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Russell Corbett-Detig
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA
| | - Zamin Iqbal
- European Molecular Biology Laboratory - European Bioinformatics Institute, Hinxton, UK
- Milner Centre for Evolution, University of Bath, UK
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4
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Park SY, Faraci G, Ward P, Lee HY. Utilizing cost-effective portable equipment to enhance COVID-19 variant tracking both on-site and at a large scale. J Clin Microbiol 2024; 62:e0155823. [PMID: 38415638 PMCID: PMC11005371 DOI: 10.1128/jcm.01558-23] [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: 11/21/2023] [Accepted: 02/12/2024] [Indexed: 02/29/2024] Open
Abstract
Despite optimistic predictions on the eventual end of COVID-19 (Coronavirus Disease 2019), caution is necessary regarding the emergence of new variants to sustain a positive outlook and effectively address any potential future outbreaks. However, ongoing efforts to track COVID-19 variants are concentrated in developed countries and unique social practices and remote habitats of indigenous peoples present additional challenges. By combining small-sized equipment that is easily accessible and inexpensive, we performed SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) whole genome sequencing and measured the sample-to-answer time and accuracy of this portable variant tracking tool. Our portable design determined the variant of SARS-CoV-2 in an infected individual within 9 hours and 15 minutes without external power or internet connection, surpassing the speed of previous portable tools. It took only 16 minutes to complete sequencing run, whole genome assembly, and lineage determination using a single standalone laptop. We then demonstrated the capability to produce 289 SARS-CoV-2 whole genome sequences in a single portable sequencing run, representing a significant improvement over an existing throughput of 96 sequences per run. We verified the accuracy of portable sequencing by comparison with two other independent sequencing methods. We showed that our high-throughput data consistently represented the circulating variants in Los Angeles, United States, when compared with publicly available sequences. Our scheme is designed to be flexible, rapid, and accurate, making it a valuable tool for large-scale surveillance operations in low- and middle-income countries as well as targeted surveys for vulnerable populations in remote locations.IMPORTANCEThere have been significant efforts to track COVID-19 (Coronavirus Disease 2019) variants, accumulating over 15 million SARS-CoV-2 sequences as of 2023. However, the distribution of global survey data is highly skewed, with nearly half of all countries having inadequate or low levels of genomic surveillance. In addition, indigenous peoples face more severe threats from COVID-19, due to their generally remote residence and unique social practices. Cost-effective portable sequencing tools have been used to investigate Ebola and Zika outbreaks. However, these tools have a sample-to-answer time of around 24 hours and require an internet connection for data transfer to an off-site cloud server. In our study, we rapidly determined COVID-19 variants using only small and inexpensive equipment, with a completion time of 9 hours and 15 minutes. Furthermore, we produced 289 near-full-length SARS-CoV-2 genome sequences from a single portable Nanopore sequencing run, representing a threefold increase in throughput compared with existing Nanopore sequencing methods.
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Affiliation(s)
- Sung Yong Park
- Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Gina Faraci
- Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Pamela Ward
- Department of Clinical Pathology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Ha Youn Lee
- Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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5
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Hedskog C, Spinner CD, Protzer U, Hoffmann D, Ko C, Gottlieb RL, Askar M, Roestenberg M, de Vries JJC, Carbo EC, Martin R, Li J, Han D, Rodriguez L, Parvangada A, Perry JK, Ferrer R, Antón A, Andrés C, Casares V, Günthard HF, Huber M, McComsey GA, Sadri N, Aberg JA, van Bakel H, Porter DP. No Remdesivir Resistance Observed in the Phase 3 Severe and Moderate COVID-19 SIMPLE Trials. Viruses 2024; 16:546. [PMID: 38675889 PMCID: PMC11053423 DOI: 10.3390/v16040546] [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: 03/04/2024] [Revised: 03/20/2024] [Accepted: 03/21/2024] [Indexed: 04/28/2024] Open
Abstract
Remdesivir (RDV) is a broad-spectrum nucleotide analog prodrug approved for the treatment of COVID-19 in hospitalized and non-hospitalized patients with clinical benefit demonstrated in multiple Phase 3 trials. Here we present SARS-CoV-2 resistance analyses from the Phase 3 SIMPLE clinical studies evaluating RDV in hospitalized participants with severe or moderate COVID-19 disease. The severe and moderate studies enrolled participants with radiologic evidence of pneumonia and a room-air oxygen saturation of ≤94% or >94%, respectively. Virology sample collection was optional in the study protocols. Sequencing and related viral load data were obtained retrospectively from participants at a subset of study sites with local sequencing capabilities (10 of 183 sites) at timepoints with detectable viral load. Among participants with both baseline and post-baseline sequencing data treated with RDV, emergent Nsp12 substitutions were observed in 4 of 19 (21%) participants in the severe study and none of the 2 participants in the moderate study. The following 5 substitutions emerged: T76I, A526V, A554V, E665K, and C697F. The substitutions T76I, A526V, A554V, and C697F had an EC50 fold change of ≤1.5 relative to the wildtype reference using a SARS-CoV-2 subgenomic replicon system, indicating no significant change in the susceptibility to RDV. The phenotyping of E665K could not be determined due to a lack of replication. These data reveal no evidence of relevant resistance emergence and further confirm the established efficacy profile of RDV with a high resistance barrier in COVID-19 patients.
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Affiliation(s)
- Charlotte Hedskog
- Gilead Sciences, Inc., Foster City, CA 94404, USA; (R.M.); (J.L.); (D.H.); (L.R.); (A.P.); (J.K.P.); (D.P.P.)
| | - Christoph D. Spinner
- TUM School of Medicine and Health, Department of Clinical Medicine—Clinical Department for Internal Medicine II, University Medical Center, Technical University of Munich, 81675 Munich, Germany;
| | - Ulrike Protzer
- German Center for Infection Research (DZIF), Munich Partner Site, 81675 Munich, Germany; (U.P.); (D.H.)
- Institute of Virology, Technical University of Munich School of Medicine, 81675 Munich, Germany;
- Institute of Virology, Helmholtz Munich, 85764 Munich, Germany
| | - Dieter Hoffmann
- German Center for Infection Research (DZIF), Munich Partner Site, 81675 Munich, Germany; (U.P.); (D.H.)
- Institute of Virology, Technical University of Munich School of Medicine, 81675 Munich, Germany;
| | - Chunkyu Ko
- Institute of Virology, Technical University of Munich School of Medicine, 81675 Munich, Germany;
- Institute of Virology, Helmholtz Munich, 85764 Munich, Germany
- Infectious Diseases Therapeutic Research Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon 34114, Republic of Korea
| | - Robert L. Gottlieb
- Center for Advanced Heart and Lung Disease, Department of Internal Medicine, Baylor University Medical Center, Dallas, TX 75246, USA; (R.L.G.); (M.A.)
- Baylor Scott & White Research Institute, Dallas, TX 75246, USA
- Department of Internal Medicine, Texas A&M Health Science Center, Dallas, TX 75246, USA
- Department of Internal Medicine, Burnett School of Medicine at TCU, Fort Worth, TX 76109, USA
| | - Medhat Askar
- Center for Advanced Heart and Lung Disease, Department of Internal Medicine, Baylor University Medical Center, Dallas, TX 75246, USA; (R.L.G.); (M.A.)
- QU Health and Department of Immunology, College of Medicine, Qatar University, Doha P.O. Box 2713, Qatar
| | - Meta Roestenberg
- Leiden University Medical Center for Infectious Diseases (LUCID), 2333 ZA Leiden, The Netherlands; (M.R.); (J.J.C.d.V.); (E.C.C.)
| | - Jutte J. C. de Vries
- Leiden University Medical Center for Infectious Diseases (LUCID), 2333 ZA Leiden, The Netherlands; (M.R.); (J.J.C.d.V.); (E.C.C.)
| | - Ellen C. Carbo
- Leiden University Medical Center for Infectious Diseases (LUCID), 2333 ZA Leiden, The Netherlands; (M.R.); (J.J.C.d.V.); (E.C.C.)
| | - Ross Martin
- Gilead Sciences, Inc., Foster City, CA 94404, USA; (R.M.); (J.L.); (D.H.); (L.R.); (A.P.); (J.K.P.); (D.P.P.)
| | - Jiani Li
- Gilead Sciences, Inc., Foster City, CA 94404, USA; (R.M.); (J.L.); (D.H.); (L.R.); (A.P.); (J.K.P.); (D.P.P.)
| | - Dong Han
- Gilead Sciences, Inc., Foster City, CA 94404, USA; (R.M.); (J.L.); (D.H.); (L.R.); (A.P.); (J.K.P.); (D.P.P.)
| | - Lauren Rodriguez
- Gilead Sciences, Inc., Foster City, CA 94404, USA; (R.M.); (J.L.); (D.H.); (L.R.); (A.P.); (J.K.P.); (D.P.P.)
| | - Aiyappa Parvangada
- Gilead Sciences, Inc., Foster City, CA 94404, USA; (R.M.); (J.L.); (D.H.); (L.R.); (A.P.); (J.K.P.); (D.P.P.)
| | - Jason K. Perry
- Gilead Sciences, Inc., Foster City, CA 94404, USA; (R.M.); (J.L.); (D.H.); (L.R.); (A.P.); (J.K.P.); (D.P.P.)
| | - Ricard Ferrer
- Vall d’Hebron Hospital Universitari, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, Medicine Department, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (R.F.); (A.A.); (C.A.); (V.C.)
| | - Andrés Antón
- Vall d’Hebron Hospital Universitari, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, Medicine Department, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (R.F.); (A.A.); (C.A.); (V.C.)
| | - Cristina Andrés
- Vall d’Hebron Hospital Universitari, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, Medicine Department, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (R.F.); (A.A.); (C.A.); (V.C.)
| | - Vanessa Casares
- Vall d’Hebron Hospital Universitari, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, Medicine Department, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (R.F.); (A.A.); (C.A.); (V.C.)
| | - Huldrych F. Günthard
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, 8057 Zurich, Switzerland;
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, 8057 Zurich, Switzerland
| | - Grace A. McComsey
- Department of Medicine, University Hospitals of Cleveland and Case Western Reserve University, Cleveland, OH 44106, USA; (G.A.M.); (N.S.)
| | - Navid Sadri
- Department of Medicine, University Hospitals of Cleveland and Case Western Reserve University, Cleveland, OH 44106, USA; (G.A.M.); (N.S.)
| | - Judith A. Aberg
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
| | - Harm van Bakel
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
| | - Danielle P. Porter
- Gilead Sciences, Inc., Foster City, CA 94404, USA; (R.M.); (J.L.); (D.H.); (L.R.); (A.P.); (J.K.P.); (D.P.P.)
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6
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Hickman R, Nguyen J, Lee TD, Tyson JR, Azana R, Tsang F, Hoang L, Prystajecky NA. Rapid, high-throughput, cost-effective whole-genome sequencing of SARS-CoV-2 using a condensed library preparation of the Illumina DNA Prep kit. J Clin Microbiol 2024; 62:e0010322. [PMID: 38315007 DOI: 10.1128/jcm.00103-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 12/20/2023] [Indexed: 02/07/2024] Open
Abstract
The ongoing COVID-19 pandemic necessitates cost-effective, high-throughput, and timely whole-genome sequencing (WGS) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viruses for outbreak investigations, identifying variants of concern (VoC), characterizing vaccine breakthrough infections, and public health surveillance. In addition, the enormous demand for WGS on supply chains and the resulting shortages of laboratory supplies necessitated the use of low-reagent and low-consumable methods. Here, we report an optimized library preparation method (the BCCDC cutdown method) that can be used in a high-throughput scenario, where one technologist can perform 576 library preparations (6 plates of 96 samples) over the course of one 8-hour shift. The same protocol can also be used in a rapid turnaround time scenario, from primary samples (up to 96 samples) to loading on a sequencer in an 8-hour shift. This new method uses Freed et al.'s 1,200 bp primer sets (Biol Methods Protoc 5:bpaa014, 2020, https://doi.org/10.1093/biomethods/bpaa014) and a modified and condensed Illumina DNA Prep workflow (Illumina, CA, USA). Compared to the original protocol, the application of this new method using hundreds of clinical specimens demonstrated equivalent results to the full-length DNA Prep workflow at 45% of the cost, 15% of consumables required (such as pipet tips), 25% of manual hands-on time, and 15% of on-instrument time if performing on a liquid handler, with no compromise in sequence quality. Results demonstrate that this new method is a rapid, simple, cost-effective, and high-quality SARS-CoV-2 WGS protocol. IMPORTANCE Sequencing has played an invaluable role in the response to the COVID-19 pandemic. Ongoing work in this area, however, demands optimization of laboratory workflow to increase sequencing capacity, improve turnaround time, and reduce cost without compromising sequence quality. This report describes an optimized DNA library preparation method for improved whole-genome sequencing of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogen. The workflow advantages summarized here include significant time, cost, and consumable savings, which suggest that this new method is an efficient, scalable, and pragmatic alternative for SARS-CoV-2 whole-genome sequencing.
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Affiliation(s)
- Rebecca Hickman
- British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, British Columbia, Canada
| | - Jason Nguyen
- British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, British Columbia, Canada
| | - Tracy D Lee
- British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, British Columbia, Canada
| | - John R Tyson
- British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, British Columbia, Canada
| | - Robert Azana
- British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, British Columbia, Canada
| | - Frankie Tsang
- British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, British Columbia, Canada
| | - Linda Hoang
- British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, British Columbia, Canada
- The University of British Columbia, Vancouver, British Columbia, Canada
| | - Natalie A Prystajecky
- British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, British Columbia, Canada
- The University of British Columbia, Vancouver, British Columbia, Canada
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7
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Kandel S, Hartzell SL, Ingold AK, Turner GA, Kennedy JL, Ussery DW. Genomic surveillance of SARS-CoV-2 using long-range PCR primers. Front Microbiol 2024; 15:1272972. [PMID: 38440140 PMCID: PMC10910555 DOI: 10.3389/fmicb.2024.1272972] [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: 08/04/2023] [Accepted: 01/03/2024] [Indexed: 03/06/2024] Open
Abstract
Introduction Whole Genome Sequencing (WGS) of the SARS-CoV-2 virus is crucial in the surveillance of the COVID-19 pandemic. Several primer schemes have been developed to sequence nearly all of the ~30,000 nucleotide SARS-CoV-2 genome, using a multiplex PCR approach to amplify cDNA copies of the viral genomic RNA. Midnight primers and ARTIC V4.1 primers are the most popular primer schemes that can amplify segments of SARS-CoV-2 (400 bp and 1200 bp, respectively) tiled across the viral RNA genome. Mutations within primer binding sites and primer-primer interactions can result in amplicon dropouts and coverage bias, yielding low-quality genomes with 'Ns' inserted in the missing amplicon regions, causing inaccurate lineage assignments, and making it challenging to monitor lineage-specific mutations in Variants of Concern (VoCs). Methods In this study we used a set of seven long-range PCR primer pairs to sequence clinical isolates of SARS-CoV-2 on Oxford Nanopore sequencer. These long-range primers generate seven amplicons approximately 4500 bp that covered whole genome of SARS-CoV-2. One of these regions includes the full-length S-gene by using a set of flanking primers. We also evaluated the performance of these long-range primers with Midnight primers by sequencing 94 clinical isolates in a Nanopore flow cell. Results and discussion Using a small set of long-range primers to sequence SARS-CoV-2 genomes reduces the possibility of amplicon dropout and coverage bias. The key finding of this study is that long range primers can be used in single-molecule sequencing of RNA viruses in surveillance of emerging variants. We also show that by designing primers flanking the S-gene, we can obtain reliable identification of SARS-CoV-2 variants.
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Affiliation(s)
- Sangam Kandel
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | | | - Ashton K. Ingold
- Arkansas Children's Research Institute, Little Rock, AR, United States
| | - Grace A. Turner
- Arkansas Children's Research Institute, Little Rock, AR, United States
| | - Joshua L. Kennedy
- Arkansas Children's Research Institute, Little Rock, AR, United States
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - David W. Ussery
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
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8
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Camp JV, Puchhammer-Stöckl E, Aberle SW, Buchta C. Virus sequencing performance during the SARS-CoV-2 pandemic: a retrospective analysis of data from multiple rounds of external quality assessment in Austria. Front Mol Biosci 2024; 11:1327699. [PMID: 38375507 PMCID: PMC10875003 DOI: 10.3389/fmolb.2024.1327699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 01/03/2024] [Indexed: 02/21/2024] Open
Abstract
Introduction: A notable feature of the 2019 coronavirus disease (COVID-19) pandemic was the widespread use of whole genome sequencing (WGS) to monitor severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Countries around the world relied on sequencing and other forms of variant detection to perform contact tracing and monitor changes in the virus genome, in the hopes that epidemic waves caused by variants would be detected and managed earlier. As sequencing was encouraged and rewarded by the government in Austria, but represented a new technicque for many laboratories, we designed an external quality assessment (EQA) scheme to monitor the accuracy of WGS and assist laboratories in validating their methods. Methods: We implemented SARS-CoV-2 WGS EQAs in Austria and report the results from 7 participants over 5 rounds from February 2021 until June 2023. The participants received sample material, sequenced genomes with routine methods, and provided the sequences as well as information about mutations and lineages. Participants were evaluated on the completeness and accuracy of the submitted sequence and the ability to analyze and interpret sequencing data. Results: The results indicate that performance was excellent with few exceptions, and these exceptions showed improvement over time. We extend our findings to infer that most publicly available sequences are accurate within ≤1 nucleotide, somewhat randomly distributed through the genome. Conclusion: WGS continues to be used for SARS-CoV-2 surveillance, and will likely be instrumental in future outbreak scenarios. We identified hurdles in building next-generation sequencing capacity in diagnostic laboratories. EQAs will help individual laboratories maintain high quality next-generation sequencing output, and strengthen variant monitoring and molecular epidemiology efforts.
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Affiliation(s)
- Jeremy V Camp
- Center for Virology, Medical University of Vienna, Vienna, Austria
| | | | - Stephan W Aberle
- Center for Virology, Medical University of Vienna, Vienna, Austria
| | - Christoph Buchta
- Austrian Association for Quality Assurance and Standardization of Medical and Diagnostic Tests (ÖQUASTA), Vienna, Austria
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9
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Keller MW, Keong LM, Rambo-Martin BL, Hassell N, Lacek KA, Wilson MM, Kirby MK, Liddell J, Owuor DC, Sheth M, Madden J, Lee JS, Kondor RJ, Wentworth DE, Barnes JR. Targeted amplification and genetic sequencing of the severe acute respiratory syndrome coronavirus 2 surface glycoprotein. Microbiol Spectr 2024; 12:e0298223. [PMID: 38084972 PMCID: PMC10783008 DOI: 10.1128/spectrum.02982-23] [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: 09/06/2023] [Accepted: 11/09/2023] [Indexed: 01/13/2024] Open
Abstract
IMPORTANCE The COVID-19 pandemic was accompanied by an unprecedented surveillance effort. The resulting data were and will continue to be critical for surveillance and control of SARS-CoV-2. However, some genomic surveillance methods experienced challenges as the virus evolved, resulting in incomplete and poor quality data. Complete and quality coverage, especially of the S-gene, is important for supporting the selection of vaccine candidates. As such, we developed a robust method to target the S-gene for amplification and sequencing. By focusing on the S-gene and imposing strict coverage and quality metrics, we hope to increase the quality of surveillance data for this continually evolving gene. Our technique is currently being deployed globally to partner laboratories, and public health representatives from 79 countries have received hands-on training and support. Expanding access to quality surveillance methods will undoubtedly lead to earlier detection of novel variants and better inform vaccine strain selection.
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Affiliation(s)
- Matthew W. Keller
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Lisa M. Keong
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Benjamin L. Rambo-Martin
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Norman Hassell
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Kristine A. Lacek
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Malania M. Wilson
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Marie K. Kirby
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Jimma Liddell
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - D. Collins Owuor
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Mili Sheth
- Biotechnology Core Facility Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Joseph Madden
- Biotechnology Core Facility Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Justin S. Lee
- Biotechnology Core Facility Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Rebecca J. Kondor
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - David E. Wentworth
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - John R. Barnes
- Influenza Division, National Center for Immunization and Respiratory Diseases (NCIRD), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
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10
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Kodsi IA, Rayes DE, Koweyes J, Khoury CA, Rahy K, Thoumi S, Chamoun M, Haddad H, Mokhbat J, Tokajian S. Tracking SARS-CoV-2 variants during the 2023 flu season and beyond in Lebanon. Virus Res 2024; 339:199289. [PMID: 38036064 PMCID: PMC10704499 DOI: 10.1016/j.virusres.2023.199289] [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: 10/18/2023] [Revised: 11/12/2023] [Accepted: 11/27/2023] [Indexed: 12/02/2023]
Abstract
BACKGROUND Early SARS-CoV-2 variant detection relies on testing and genomic surveillance. The Omicron variant (B.1.1.529) has quickly become the dominant type among the previous circulating variants worldwide. Several subvariants have emerged exhibiting greater infectivity and immune evasion. In this study we aimed at studying the prevalence of the Omicron subvariants during the flu season and beyond in Lebanon through genomic screening and at determining the overall standing and trajectory of the pandemic in the country. METHODS A total of 155 SARS-CoV-2 RNA samples were sequenced, using Nanopore sequencing technology. RESULTS Nanopore sequencing of 155 genomes revealed their distribution over 39 Omicron variants. XBB.1.5 (23.29 %) was the most common, followed by XBB.1.9.1 (10.96 %) and XBB.1.42 (7.5 %). The first batch collected between September and November 2022, included the BA.2.75.2, BA.5.2, BA.5.2.20, BA.5.2.25 and BQ.1.1.5 lineages. Between December 2022 and January 2023, those lineages were replaced by BA.2.75.5, BN.1, BN.1.4, BQ.1, BQ.1.1, BQ.1.1.23, CH.1.1, CM.4 and XBK. Starting February 2023, we observed a gradual emergence and dominance of the recombinant XBB and its sub-lineages (XBB.1, XBB.1.5, XBB.1.5.2, XBB.1.5.3, XBB.1.9, XBB.1.9.1, XBB.1.9.2, XBB.1.16, XBB.1.22 and XBB.1.42). CONCLUSIONS The timely detection and characterization of SARS-CoV-2 variants is important to reduce transmission through established disease control measures and to avoid introductions into animal populations that could lead to serious public health implications.
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Affiliation(s)
- Ibrahim Al Kodsi
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Lebanon
| | - Douaa El Rayes
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Lebanon
| | - Jad Koweyes
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Lebanon
| | - Charbel Al Khoury
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Lebanon
| | - Kelven Rahy
- School of Medicine, Lebanese American University, Lebanon
| | - Sergio Thoumi
- Department of Computer Science and Mathematics, School of Arts and Sciences, Lebanese American University, Lebanon
| | | | - Hoda Haddad
- Clinical Microbiology laboratory, Lebanese American University Medical Center Rizk Hospital, Beirut, Lebanon
| | - Jacques Mokhbat
- Clinical Microbiology laboratory, Lebanese American University Medical Center Rizk Hospital, Beirut, Lebanon
| | - Sima Tokajian
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Lebanon.
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11
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Delamare-Deboutteville J, Meemetta W, Pimsannil K, Sangpo P, Gan HM, Mohan CV, Dong HT, Senapin S. A multiplexed RT-PCR assay for nanopore whole genome sequencing of Tilapia lake virus (TiLV). Sci Rep 2023; 13:20276. [PMID: 37985860 PMCID: PMC10661697 DOI: 10.1038/s41598-023-47425-w] [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: 06/15/2023] [Accepted: 11/14/2023] [Indexed: 11/22/2023] Open
Abstract
Tilapia lake virus (TiLV) is a highly contagious viral pathogen that affects tilapia, a globally significant and affordable source of fish protein. To prevent the introduction and spread of TiLV and its impact, there is an urgent need for increased surveillance, improved biosecurity measures, and continuous development of effective diagnostic and rapid sequencing methods. In this study, we have developed a multiplexed RT-PCR assay that can amplify all ten complete genomic segments of TiLV from various sources of isolation. The amplicons generated using this approach were immediately subjected to real-time sequencing on the Nanopore system. By using this approach, we have recovered and assembled 10 TiLV genomes from total RNA extracted from naturally TiLV-infected tilapia fish, concentrated tilapia rearing water, and cell culture. Our phylogenetic analysis, consisting of more than 36 TiLV genomes from both newly sequenced and publicly available TiLV genomes, provides new insights into the high genetic diversity of TiLV. This work is an essential steppingstone towards integrating rapid and real-time Nanopore-based amplicon sequencing into routine genomic surveillance of TiLV, as well as future vaccine development.
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Affiliation(s)
| | - Watcharachai Meemetta
- Fish Health Platform, Center of Excellence for Shrimp Molecular Biology and Biotechnology (Centex Shrimp), Faculty of Science, Mahidol University, Rama VI Rd., Bangkok, 10400, Thailand
| | - Khaettareeya Pimsannil
- Fish Health Platform, Center of Excellence for Shrimp Molecular Biology and Biotechnology (Centex Shrimp), Faculty of Science, Mahidol University, Rama VI Rd., Bangkok, 10400, Thailand
| | - Pattiya Sangpo
- Fish Health Platform, Center of Excellence for Shrimp Molecular Biology and Biotechnology (Centex Shrimp), Faculty of Science, Mahidol University, Rama VI Rd., Bangkok, 10400, Thailand
| | - Han Ming Gan
- Patriot Biotech Sdn Bhd, Bandar Sunway, 47500, Subang Jaya, Selangor, Malaysia
| | | | - Ha Thanh Dong
- School of Environment, Resources and Development, Asian Institute of Technology, Pathum Thani, 12120, Thailand
| | - Saengchan Senapin
- Fish Health Platform, Center of Excellence for Shrimp Molecular Biology and Biotechnology (Centex Shrimp), Faculty of Science, Mahidol University, Rama VI Rd., Bangkok, 10400, Thailand.
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, 12120, Thailand.
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12
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Zufan SE, Lau KA, Donald A, Hoang T, Foster CSP, Sikazwe C, Theis T, Rawlinson WD, Ballard SA, Stinear TP, Howden BP, Jennison AV, Seemann T. Bioinformatic investigation of discordant sequence data for SARS-CoV-2: insights for robust genomic analysis during pandemic surveillance. Microb Genom 2023; 9. [PMID: 38019123 DOI: 10.1099/mgen.0.001146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2023] Open
Abstract
The COVID-19 pandemic has necessitated the rapid development and implementation of whole-genome sequencing (WGS) and bioinformatic methods for managing the pandemic. However, variability in methods and capabilities between laboratories has posed challenges in ensuring data accuracy. A national working group comprising 18 laboratory scientists and bioinformaticians from Australia and New Zealand was formed to improve data concordance across public health laboratories (PHLs). One effort, presented in this study, sought to understand the impact of the methodology on consensus genome concordance and interpretation. SARS-CoV-2 WGS proficiency testing programme (PTP) data were retrospectively obtained from the 2021 Royal College of Pathologists of Australasia Quality Assurance Programmes (RCPAQAP), which included 11 participating Australian laboratories. The submitted consensus genomes and reads from eight contrived specimens were investigated, focusing on discordant sequence data and findings were presented to the working group to inform best practices. Despite using a variety of laboratory and bioinformatic methods for SARS-CoV-2 WGS, participants largely produced concordant genomes. Two participants returned five discordant sites in a high-Cτ replicate, which could be resolved with reasonable bioinformatic quality thresholds. We noted ten discrepancies in genome assessment that arose from nucleotide heterogeneity at three different sites in three cell-culture-derived control specimens. While these sites were ultimately accurate after considering the participants' bioinformatic parameters, it presented an interesting challenge for developing standards to account for intrahost single nucleotide variation (iSNV). Observed differences had little to no impact on key surveillance metrics, lineage assignment and phylogenetic clustering, while genome coverage <90 % affected both. We recommend PHLs bioinformatically generate two consensus genomes with and without ambiguity thresholds for quality control and downstream analysis, respectively, and adhere to a minimum 90 % genome coverage threshold for inclusion in surveillance interpretations. We also suggest additional PTP assessment criteria, including primer efficiency, detection of iSNVs and minimum genome coverage of 90 %. This study underscores the importance of multidisciplinary national working groups in informing guidelines in real time for bioinformatic quality acceptance criteria. It demonstrates the potential for enhancing public health responses through improved data concordance and quality control in SARS-CoV-2 genomic analysis during pandemic surveillance.
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Affiliation(s)
- Sara E Zufan
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | | | - Angela Donald
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Tuyet Hoang
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Charles S P Foster
- Serology and Virology Division (SAViD) SEALS Microbiology, NSW Health Pathology, Sydney, NSW, Australia
- School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Chisha Sikazwe
- Department of Microbiology, PathWest Laboratory Medicine Western Australia, Nedlands, WA, Australia
- School of Biomedical Sciences, The University of Western Australia, Nedlands, WA, Australia
| | | | - William D Rawlinson
- RCPAQAP Biosecurity, St. Leonards, NSW, Australia
- Serology and Virology Division (SAViD) SEALS Microbiology, NSW Health Pathology, Sydney, NSW, Australia
- School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- School of Women's and Children's Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, NSW, Australia
| | - Susan A Ballard
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Timothy P Stinear
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Benjamin P Howden
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Amy V Jennison
- Public Health Microbiology, Forensic and Scientific Services, Queensland Department of Health, Brisbane, Australia
| | - Torsten Seemann
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
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13
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Kim KW, Lee B, Eom S, Shin D, Park C, Kim S, Yi H. Universal primers for rift valley fever virus whole-genome sequencing. Sci Rep 2023; 13:18688. [PMID: 37907670 PMCID: PMC10618441 DOI: 10.1038/s41598-023-45848-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: 02/08/2023] [Accepted: 10/24/2023] [Indexed: 11/02/2023] Open
Abstract
Rift Valley fever (RVF) is a mosquito-borne zoonotic disease causing acute hemorrhagic fever. Accurate identification of mutations and phylogenetic characterization of RVF virus (RVFV) require whole-genome analysis. Universal primers to amplify the entire RVFV genome from clinical samples with low copy numbers are currently unavailable. Thus, we aimed to develop universal primers applicable for all known RVFV strains. Based on the genome sequences available from public databases, we designed eight pairs of universal PCR primers covering the entire RVFV genome. To evaluate primer universality, four RVFV strains (ZH548, Kenya 56 (IB8), BIME-01, and Lunyo), encompassing viral phylogenetic diversity, were chosen. The nucleic acids of the test strains were chemically synthesized or extracted via cell culture. These RNAs were evaluated using the PCR primers, resulting in successful amplification with expected sizes (0.8-1.7 kb). Sequencing confirmed that the products covered the entire genome of the RVFV strains tested. Primer specificity was confirmed via in silico comparison against all non-redundant nucleotide sequences using the BLASTn alignment tool in the NCBI database. To assess the clinical applicability of the primers, mock clinical specimens containing human and RVFV RNAs were prepared. The entire RVFV genome was successfully amplified and sequenced at a viral concentration of 108 copies/mL. Given the universality, specificity, and clinical applicability of the primers, we anticipate that the RVFV universal primer pairs and the developed method will aid in RVFV phylogenomics and mutation detection.
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Affiliation(s)
- Kwan Woo Kim
- Department of Public Health Sciences, Graduate School, Korea University, Seoul, Republic of Korea
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea
- Center for Study of Emerging and Re-emerging Viruses, Korea Virus Research Institute, Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - Banseok Lee
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea
- Integrated Biomedical and Life Science, Graduate School, Korea University, Seoul, Republic of Korea
| | - Sujeong Eom
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea
- Integrated Biomedical and Life Science, Graduate School, Korea University, Seoul, Republic of Korea
| | - Donghoon Shin
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea
- Integrated Biomedical and Life Science, Graduate School, Korea University, Seoul, Republic of Korea
| | - Changwoo Park
- Microbiological Analysis Team, Group for Biometrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, Republic of Korea
- Convergent Research Center for Emerging Virus Infection, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea
- Department of Agricultural Biotechnology, Seoul National University, Seoul, Republic of Korea
| | - Seil Kim
- Microbiological Analysis Team, Group for Biometrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, Republic of Korea.
- Convergent Research Center for Emerging Virus Infection, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea.
- Department of Bio-Analysis Science, University of Science and Technology, Daejeon, Republic of Korea.
| | - Hana Yi
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul, Republic of Korea.
- Integrated Biomedical and Life Science, Graduate School, Korea University, Seoul, Republic of Korea.
- School of Biosystems and Biomedical Sciences, Korea University, Seoul, Republic of Korea.
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14
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Child HT, Airey G, Maloney DM, Parker A, Wild J, McGinley S, Evens N, Porter J, Templeton K, Paterson S, van Aerle R, Wade MJ, Jeffries AR, Bassano I. Comparison of metagenomic and targeted methods for sequencing human pathogenic viruses from wastewater. mBio 2023; 14:e0146823. [PMID: 37877702 PMCID: PMC10746264 DOI: 10.1128/mbio.01468-23] [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: 06/12/2023] [Accepted: 09/26/2023] [Indexed: 10/26/2023] Open
Abstract
Wastewater-based epidemiology is a powerful tool for monitoring the emergence and spread of viral pathogens at the population scale. Typical polymerase chain reaction (PCR)-based methods of quantitative and genomic monitoring of viruses in wastewater provide high sensitivity and specificity. However, these methods are limited to the surveillance of target viruses in a single assay and require prior knowledge of the target genome(s). Metagenomic sequencing methods may represent a target-agnostic approach to viral wastewater monitoring, allowing for the detection of a broad range of target viruses, including potentially novel and emerging pathogens. In this study, targeted and untargeted metagenomic sequencing methods were compared with tiled-PCR sequencing for the detection and genotyping of viral pathogens in wastewater samples. Deep shotgun metagenomic sequencing was unable to generate sufficient genome coverage of human pathogenic viruses for robust genomic epidemiology, with samples dominated by bacteria. Hybrid-capture enrichment of shotgun libraries for respiratory viruses led to significant increases in genome coverage for a range of targets. Tiled-PCR sequencing led to further improvements in genome coverage compared to hybrid capture for severe acute respiratory syndrome coronavirus 2, enterovirus D68, norovirus GII, and human adenovirus F41 in wastewater samples. In conclusion, untargeted shotgun sequencing was unsuitable for genomic monitoring of the low virus concentrations in wastewater samples analyzed in this study. Hybrid-capture enrichment represented a viable method for simultaneous genomic epidemiology of a range of viral pathogens, while tiled-PCR sequencing provided the optimal genome coverage for individual viruses with the minimum sequencing depth. IMPORTANCE Most public health initiatives that monitor viruses in wastewater have utilized quantitative polymerase chain reaction (PCR) and whole genome PCR sequencing, mirroring techniques used for viral epidemiology in individuals. These techniques require prior knowledge of the target viral genome and are limited to monitoring individual or small groups of viruses. Metagenomic sequencing may offer an alternative strategy for monitoring a broad spectrum of viruses in wastewater, including novel and emerging pathogens. In this study, while amplicon sequencing gave high viral genome coverage, untargeted shotgun sequencing of total nucleic acid samples was unable to detect human pathogenic viruses with enough sensitivity for use in genomic epidemiology. Enrichment of shotgun libraries for respiratory viruses using hybrid-capture technology provided genotypic information on a range of viruses simultaneously, indicating strong potential for wastewater surveillance. This type of targeted metagenomics could be used for monitoring diverse targets, such as pathogens or antimicrobial resistance genes, in environmental samples.
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Affiliation(s)
- Harry T. Child
- Biosciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom
| | - George Airey
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Daniel M. Maloney
- Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom
| | - Abby Parker
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| | - Jonathan Wild
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| | - Suzie McGinley
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| | - Nicholas Evens
- Environment Agency, National Monitoring, Starcross, Exeter, United Kingdom
| | - Jonathan Porter
- Environment Agency, National Monitoring, Starcross, Exeter, United Kingdom
| | - Kate Templeton
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| | - Steve Paterson
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Ronny van Aerle
- International Centre of Excellence for Aquatic Animal Health, Cefas, Weymouth, United Kingdom
- Centre for Sustainable Aquaculture Futures, University of Exeter, Exeter, United Kingdom
| | - Matthew J. Wade
- Centre for Sustainable Aquaculture Futures, University of Exeter, Exeter, United Kingdom
| | - Aaron R. Jeffries
- Biosciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom
| | - Irene Bassano
- Analytics & Data Science Directorate, UK Health Security Agency, London, United Kingdom
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15
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Wang MX, Lou EG, Sapoval N, Kim E, Kalvapalle P, Kille B, Elworth RAL, Liu Y, Fu Y, Stadler LB, Treangen TJ. Olivar: automated variant aware primer design for multiplex tiled amplicon sequencing of pathogens. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.11.528155. [PMID: 36824759 PMCID: PMC9948974 DOI: 10.1101/2023.02.11.528155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Tiled amplicon sequencing has served as an essential tool for tracking the spread and evolution of pathogens. Over 2 million complete SARS-CoV-2 genomes are now publicly available, most sequenced and assembled via tiled amplicon sequencing. While computational tools for tiled amplicon design exist, they require downstream manual optimization both computationally and experimentally, which is slow and costly. Here we present Olivar, a first step towards a fully automated, variant-aware design of tiled amplicons for pathogen genomes. Olivar converts each nucleotide of the target genome into a numeric risk score, capturing undesired sequence features that should be avoided. In a direct comparison with PrimalScheme, we show that Olivar has fewer SNPs overlapping with primers and predicted PCR byproducts. We also compared Olivar head-to-head with ARTIC v4.1, the most widely used primer set for SARS-CoV-2 sequencing, and show Olivar yields similar read mapping rates (~90%) and better coverage to the manually designed ARTIC v4.1 amplicons. We also evaluated Olivar on real wastewater samples and found that Olivar had up to 3-fold higher mapping rates while retaining similar coverage. In summary, Olivar automates and accelerates the generation of tiled amplicons, even in situations of high mutation frequency and/or density. Olivar is available as a web application at https://olivar.rice.edu. Olivar can also be installed locally as a command line tool with Bioconda. Source code, installation guide and usage are available at https://github.com/treangenlab/Olivar.
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Affiliation(s)
- Michael X. Wang
- Department of Bioengineering, Rice University, Houston, 77030, USA
| | - Esther G. Lou
- Department of Civil and Environmental Engineering, Rice University, Houston, 77005, USA
| | - Nicolae Sapoval
- Department of Computer Science, Rice University, Houston, 77005, USA
| | - Eddie Kim
- Department of Computer Science, Rice University, Houston, 77005, USA
| | - Prashant Kalvapalle
- Department of Civil and Environmental Engineering, Rice University, Houston, 77005, USA
| | - Bryce Kille
- Department of Computer Science, Rice University, Houston, 77005, USA
| | - R. A. Leo Elworth
- Department of Computer Science, Rice University, Houston, 77005, USA
| | - Yunxi Liu
- Department of Computer Science, Rice University, Houston, 77005, USA
| | - Yilei Fu
- Department of Computer Science, Rice University, Houston, 77005, USA
| | - Lauren B. Stadler
- Department of Civil and Environmental Engineering, Rice University, Houston, 77005, USA
| | - Todd J. Treangen
- Department of Computer Science, Rice University, Houston, 77005, USA
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16
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Coelho FF, da Silva MA, Lopes TB, Polatto JM, de Castro NS, Andrade LAF, Lourenço KL, Sato HI, de Carvalho AF, Coelho HP, Bagno FF, Luz D, Viala VL, Cattony PQ, Melo BDS, Moro AM, Quintilio W, Barbosa AP, Bomfim CG, Soares CP, Guzzo CR, Fonseca FG, Durigon EL, Gazzinelli RT, Ribeiro Teixeira SM, Piazza RMF, Fernandes AP. SARS-CoV-2 Rapid Antigen Test Based on a New Anti-Nucleocapsid Protein Monoclonal Antibody: Development and Real-Time Validation. Microorganisms 2023; 11:2422. [PMID: 37894080 PMCID: PMC10608853 DOI: 10.3390/microorganisms11102422] [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: 07/12/2023] [Revised: 08/27/2023] [Accepted: 09/01/2023] [Indexed: 10/29/2023] Open
Abstract
SARS-CoV-2 diagnostic tests have become an important tool for pandemic control. Among the alternatives for COVID-19 diagnosis, antigen rapid diagnostic tests (Ag-RDT) are very convenient and widely used. However, as SARS-CoV-2 variants may continuously emerge, the replacement of tests and reagents may be required to maintain the sensitivity of Ag-RDTs. Here, we describe the development and validation of an Ag-RDT during an outbreak of the Omicron variant, including the characterization of a new monoclonal antibody (anti-DTC-N 1B3 mAb) that recognizes the Nucleocapsid protein (N). The anti-DTC-N 1B3 mAb recognized the sequence TFPPTEPKKDKKK located at the C-terminus of the N protein of main SARS-CoV-2 variants of concern. Accordingly, the Ag-RDT prototypes using the anti-DTC-N 1B3 mAB detected all the SARS-CoV-2 variants-Wuhan, Alpha, Gamma, Delta, P2 and Omicron. The performance of the best prototype (sensitivity of 95.2% for samples with Ct ≤ 25; specificity of 98.3% and overall accuracy of 85.0%) met the WHO recommendations. Moreover, results from a patients' follow-up study indicated that, if performed within the first three days after onset of symptoms, the Ag-RDT displayed 100% sensitivity. Thus, the new mAb and the Ag-RDT developed herein may constitute alternative tools for COVID-19 point-of-care diagnosis and epidemiological surveillance.
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Affiliation(s)
- Fabiana Fioravante Coelho
- Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil;
- Hospital da Polícia Militar de Minas Gerais, Polícia Militar de Minas Gerais, Belo Horizonte 30110-013, Brazil
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Miriam Aparecida da Silva
- Instituto Butantan, São Paulo 05503-900, Brazil; (M.A.d.S.); (J.M.P.); (D.L.); (V.L.V.); (P.Q.C.); (B.d.S.M.); (A.M.M.); (W.Q.); (A.P.B.); (R.M.F.P.)
| | - Thiciany Blener Lopes
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Juliana Moutinho Polatto
- Instituto Butantan, São Paulo 05503-900, Brazil; (M.A.d.S.); (J.M.P.); (D.L.); (V.L.V.); (P.Q.C.); (B.d.S.M.); (A.M.M.); (W.Q.); (A.P.B.); (R.M.F.P.)
| | - Natália Salazar de Castro
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Luis Adan Flores Andrade
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Karine Lima Lourenço
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Hugo Itaru Sato
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Alex Fiorini de Carvalho
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Helena Perez Coelho
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Flávia Fonseca Bagno
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Daniela Luz
- Instituto Butantan, São Paulo 05503-900, Brazil; (M.A.d.S.); (J.M.P.); (D.L.); (V.L.V.); (P.Q.C.); (B.d.S.M.); (A.M.M.); (W.Q.); (A.P.B.); (R.M.F.P.)
| | - Vincent Louis Viala
- Instituto Butantan, São Paulo 05503-900, Brazil; (M.A.d.S.); (J.M.P.); (D.L.); (V.L.V.); (P.Q.C.); (B.d.S.M.); (A.M.M.); (W.Q.); (A.P.B.); (R.M.F.P.)
| | - Pedro Queiroz Cattony
- Instituto Butantan, São Paulo 05503-900, Brazil; (M.A.d.S.); (J.M.P.); (D.L.); (V.L.V.); (P.Q.C.); (B.d.S.M.); (A.M.M.); (W.Q.); (A.P.B.); (R.M.F.P.)
| | - Bruna de Sousa Melo
- Instituto Butantan, São Paulo 05503-900, Brazil; (M.A.d.S.); (J.M.P.); (D.L.); (V.L.V.); (P.Q.C.); (B.d.S.M.); (A.M.M.); (W.Q.); (A.P.B.); (R.M.F.P.)
| | - Ana Maria Moro
- Instituto Butantan, São Paulo 05503-900, Brazil; (M.A.d.S.); (J.M.P.); (D.L.); (V.L.V.); (P.Q.C.); (B.d.S.M.); (A.M.M.); (W.Q.); (A.P.B.); (R.M.F.P.)
| | - Wagner Quintilio
- Instituto Butantan, São Paulo 05503-900, Brazil; (M.A.d.S.); (J.M.P.); (D.L.); (V.L.V.); (P.Q.C.); (B.d.S.M.); (A.M.M.); (W.Q.); (A.P.B.); (R.M.F.P.)
| | - Ana Paula Barbosa
- Instituto Butantan, São Paulo 05503-900, Brazil; (M.A.d.S.); (J.M.P.); (D.L.); (V.L.V.); (P.Q.C.); (B.d.S.M.); (A.M.M.); (W.Q.); (A.P.B.); (R.M.F.P.)
| | - Camila Gasque Bomfim
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-900, Brazil; (C.G.B.); (C.P.S.); (C.R.G.); (E.L.D.)
| | - Camila Pereira Soares
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-900, Brazil; (C.G.B.); (C.P.S.); (C.R.G.); (E.L.D.)
| | - Cristiane Rodrigues Guzzo
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-900, Brazil; (C.G.B.); (C.P.S.); (C.R.G.); (E.L.D.)
| | - Flavio Guimarães Fonseca
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Edison Luiz Durigon
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-900, Brazil; (C.G.B.); (C.P.S.); (C.R.G.); (E.L.D.)
| | - Ricardo Tostes Gazzinelli
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Santuza M. Ribeiro Teixeira
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
| | - Roxane Maria Fontes Piazza
- Instituto Butantan, São Paulo 05503-900, Brazil; (M.A.d.S.); (J.M.P.); (D.L.); (V.L.V.); (P.Q.C.); (B.d.S.M.); (A.M.M.); (W.Q.); (A.P.B.); (R.M.F.P.)
| | - Ana Paula Fernandes
- Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil;
- Centro de Tecnologia em Vacinas, Universidade Federal de Minas Gerais, Belo Horizonte 31310-260, Brazil; (T.B.L.); (N.S.d.C.); (L.A.F.A.); (K.L.L.); (H.I.S.); (A.F.d.C.); (H.P.C.); (F.F.B.); (F.G.F.); (R.T.G.); (S.M.R.T.)
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17
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Haars J, Palanisamy N, Wallin F, Mölling P, Lindh J, Sundqvist M, Ellström P, Kaden R, Lennerstrand J. Prevalence of SARS-CoV-2 Omicron Sublineages and Spike Protein Mutations Conferring Resistance against Monoclonal Antibodies in a Swedish Cohort during 2022-2023. Microorganisms 2023; 11:2417. [PMID: 37894075 PMCID: PMC10609123 DOI: 10.3390/microorganisms11102417] [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: 09/08/2023] [Revised: 09/22/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023] Open
Abstract
Monoclonal antibodies (mAbs) are an important treatment option for COVID-19 caused by SARS-CoV-2, especially in immunosuppressed patients. However, this treatment option can become ineffective due to mutations in the SARS-CoV-2 genome, mainly in the receptor binding domain (RBD) of the spike (S) protein. In the present study, 7950 SARS-CoV-2 positive samples from the Uppsala and Örebro regions of central Sweden, collected between March 2022 and May 2023, were whole-genome sequenced using amplicon-based sequencing methods on Oxford Nanopore GridION, Illumina MiSeq, Illumina HiSeq, or MGI DNBSEQ-G400 instruments. Pango lineages were determined and all single nucleotide polymorphism (SNP) mutations that occurred in these samples were identified. We found that the dominant sublineages changed over time, and mutations conferring resistance to currently available mAbs became common. Notable ones are R346T and K444T mutations in the RBD that confer significant resistance against tixagevimab and cilgavimab mAbs. Further, mutations conferring a high-fold resistance to bebtelovimab, such as the K444T and V445P mutations, were also observed in the samples. This study highlights that resistance mutations have over time rendered currently available mAbs ineffective against SARS-CoV-2 in most patients. Therefore, there is a need for continued surveillance of resistance mutations and the development of new mAbs that target more conserved regions of the RBD.
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Affiliation(s)
- Jonathan Haars
- Department of Medical Sciences, Section for Clinical Microbiology and Hospital Hygiene Uppsala University, Akademiska Sjukhuset Entrance 40 Floor 5, 751 85 Uppsala, Sweden; (J.H.); (J.L.); (P.E.); (R.K.)
| | | | - Frans Wallin
- Department of Laboratory Medicine, Clinical Microbiology, Örebro University Hospital, Södra Grev Rosengatan, 701 85 Örebro, Sweden;
| | - Paula Mölling
- Department of Laboratory Medicine, Clinical Microbiology, Faculty of Medicine and Health, Örebro University, 701 82 Örebro, Sweden; (P.M.); (M.S.)
| | - Johan Lindh
- Department of Medical Sciences, Section for Clinical Microbiology and Hospital Hygiene Uppsala University, Akademiska Sjukhuset Entrance 40 Floor 5, 751 85 Uppsala, Sweden; (J.H.); (J.L.); (P.E.); (R.K.)
| | - Martin Sundqvist
- Department of Laboratory Medicine, Clinical Microbiology, Faculty of Medicine and Health, Örebro University, 701 82 Örebro, Sweden; (P.M.); (M.S.)
| | - Patrik Ellström
- Department of Medical Sciences, Section for Clinical Microbiology and Hospital Hygiene Uppsala University, Akademiska Sjukhuset Entrance 40 Floor 5, 751 85 Uppsala, Sweden; (J.H.); (J.L.); (P.E.); (R.K.)
| | - René Kaden
- Department of Medical Sciences, Section for Clinical Microbiology and Hospital Hygiene Uppsala University, Akademiska Sjukhuset Entrance 40 Floor 5, 751 85 Uppsala, Sweden; (J.H.); (J.L.); (P.E.); (R.K.)
- SciLifeLab, Clinical Genomics Uppsala, Husargatan 3, 752 37 Uppsala, Sweden
| | - Johan Lennerstrand
- Department of Medical Sciences, Section for Clinical Microbiology and Hospital Hygiene Uppsala University, Akademiska Sjukhuset Entrance 40 Floor 5, 751 85 Uppsala, Sweden; (J.H.); (J.L.); (P.E.); (R.K.)
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18
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de Lima TM, Martins RB, Miura CS, Souza MVO, Cassiano MHA, Rodrigues TS, Veras FP, Sousa JDF, Gomes R, de Almeida GM, Melo SR, da Silva GC, Dias M, Capato CF, Silva ML, Luiz VEDDB, Carenzi LR, Zamboni DS, Jorge DMDM, Cunha FDQ, Tamashiro E, Anselmo-Lima WT, Valera FCP, Arruda E. Tonsils are major sites of persistence of SARS-CoV-2 in children. Microbiol Spectr 2023; 11:e0134723. [PMID: 37737615 PMCID: PMC10581087 DOI: 10.1128/spectrum.01347-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 08/01/2023] [Indexed: 09/23/2023] Open
Abstract
In the present study, we show that SARS-CoV-2 can infect palatine tonsils, adenoids, and secretions in children without symptoms of COVID-19, with no history of recent upper airway infection. We studied 48 children undergoing tonsillectomy due to snoring/OSA or recurrent tonsillitis between October 2020 and September 2021. Nasal cytobrushes, nasal washes, and tonsillar tissue fragments obtained at surgery were tested by RT-qPCR, immunohistochemistry (IHC), flow cytometry, and neutralization assay. We detected the presence of SARS-CoV-2 in at least one specimen tested in 27% of patients. IHC revealed the presence of the viral nucleoprotein in epithelial surface and in lymphoid cells in both extrafollicular and follicular regions, in adenoids and palatine tonsils. Also, IHC for the SARS-CoV-2 non-structural protein NSP-16 indicated the presence of viral replication in 53.8% of the SARS-CoV-2-infected tissues. Flow cytometry showed that CD20+ B lymphocytes were the most infected phenotypes, followed by CD4+ lymphocytes and CD123 dendritic cells, CD8+ T lymphocytes, and CD14+ macrophages. Additionally, IF indicated that infected tonsillar tissues had increased expression of ACE2 and TMPRSS2. NGS sequencing demonstrated the presence of different SARS-CoV-2 variants in tonsils from different tissues. SARS-CoV-2 antigen detection was not restricted to tonsils but was also detected in nasal cells from the olfactory region. Palatine tonsils and adenoids are sites of prolonged RNA presence by SARS-CoV-2 in children, even without COVID-19 symptoms. IMPORTANCE This study shows that SRS-CoV-2 of different lineages can infect tonsils and adenoids in one quarter of children undergoing tonsillectomy. These findings bring advancement to the area of SARS-CoV-2 pathogenesis, by showing that tonsils may be sites of prolonged infection, even without evidence of recent COVID-19 symptoms. SARS-CoV-2 infection of B and T lymphocytes, macrophages, and dendritic cells may interfere with the mounting of immune responses in these secondary lymphoid organs. Moreover, the shedding of SARS-CoV-2 RNA in respiratory secretions from silently infected children raises concern about possible diagnostic confusion in the presence of symptoms of acute respiratory infections caused by other etiologies.
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Affiliation(s)
- Thais Melquiades de Lima
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Ronaldo Bragança Martins
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
- Department of Clinical, Toxicological and Bromatological Analysis, University of São Paulo School of Pharmaceutical Sciences, Ribeirão Preto, São Paulo, Brazil
| | - Carolina Sponchiado Miura
- Department of Ophthalmology, Otorhinolaryngology and Head and Neck Surgery, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Maria Vitória Oliveira Souza
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Murilo Henrique Anzolini Cassiano
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Tamara Silva Rodrigues
- Department of Biochemistry and Immunology, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Flávio Protásio Veras
- Department of BioMolecular Sciences, University of São Paulo School of Pharmaceutical Sciences, Ribeirão Preto, São Paulo, Brazil
| | - Josane de Freitas Sousa
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Rogério Gomes
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Glaucia Maria de Almeida
- Department of Biochemistry and Immunology, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Stella Rezende Melo
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Gabriela Condé da Silva
- Department of Ophthalmology, Otorhinolaryngology and Head and Neck Surgery, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Matheus Dias
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Carlos Fabiano Capato
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Maria Lúcia Silva
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Veridiana Ester Dias de Barros Luiz
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Lucas Rodrigues Carenzi
- Department of Ophthalmology, Otorhinolaryngology and Head and Neck Surgery, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Dario Simões Zamboni
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
- Department of Biochemistry and Immunology, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Daniel Macedo de Melo Jorge
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Fernando de Queiroz Cunha
- Department of Pharmacology, University of Sao Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Edwin Tamashiro
- Department of Ophthalmology, Otorhinolaryngology and Head and Neck Surgery, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Wilma Terezinha Anselmo-Lima
- Department of Ophthalmology, Otorhinolaryngology and Head and Neck Surgery, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Fabiana Cardoso Pereira Valera
- Department of Ophthalmology, Otorhinolaryngology and Head and Neck Surgery, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
| | - Eurico Arruda
- Department of Cellular and Molecular Biology and Pathogenic Bioagents, University of São Paulo School of Medicine, Ribeirão Preto, São Paulo, Brazil
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19
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Torres Ortiz A, Kendall M, Storey N, Hatcher J, Dunn H, Roy S, Williams R, Williams C, Goldstein RA, Didelot X, Harris K, Breuer J, Grandjean L. Within-host diversity improves phylogenetic and transmission reconstruction of SARS-CoV-2 outbreaks. eLife 2023; 12:e84384. [PMID: 37732733 PMCID: PMC10602588 DOI: 10.7554/elife.84384] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 09/20/2023] [Indexed: 09/22/2023] Open
Abstract
Accurate inference of who infected whom in an infectious disease outbreak is critical for the delivery of effective infection prevention and control. The increased resolution of pathogen whole-genome sequencing has significantly improved our ability to infer transmission events. Despite this, transmission inference often remains limited by the lack of genomic variation between the source case and infected contacts. Although within-host genetic diversity is common among a wide variety of pathogens, conventional whole-genome sequencing phylogenetic approaches exclusively use consensus sequences, which consider only the most prevalent nucleotide at each position and therefore fail to capture low-frequency variation within samples. We hypothesized that including within-sample variation in a phylogenetic model would help to identify who infected whom in instances in which this was previously impossible. Using whole-genome sequences from SARS-CoV-2 multi-institutional outbreaks as an example, we show how within-sample diversity is partially maintained among repeated serial samples from the same host, it can transmitted between those cases with known epidemiological links, and how this improves phylogenetic inference and our understanding of who infected whom. Our technique is applicable to other infectious diseases and has immediate clinical utility in infection prevention and control.
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Affiliation(s)
- Arturo Torres Ortiz
- Department of Infectious Diseases, Imperial College LondonLondonUnited Kingdom
- Department of Infection, Immunity and Inflammation, University College LondonLondonUnited Kingdom
| | - Michelle Kendall
- Department of Statistics, University of WarwickCoventryUnited Kingdom
| | - Nathaniel Storey
- Department of Microbiology, Great Ormond Street HospitalLondonUnited Kingdom
| | - James Hatcher
- Department of Microbiology, Great Ormond Street HospitalLondonUnited Kingdom
| | - Helen Dunn
- Department of Microbiology, Great Ormond Street HospitalLondonUnited Kingdom
| | - Sunando Roy
- Department of Infection, Immunity and Inflammation, University College LondonLondonUnited Kingdom
| | | | | | | | - Xavier Didelot
- Department of Statistics, University of WarwickCoventryUnited Kingdom
| | - Kathryn Harris
- Department of Microbiology, Great Ormond Street HospitalLondonUnited Kingdom
- Department of Virology, East & South East London Pathology Partnership, Royal London Hospital, Barts Health NHS TrustLondonUnited Kingdom
| | - Judith Breuer
- Department of Infection, Immunity and Inflammation, University College LondonLondonUnited Kingdom
| | - Louis Grandjean
- Department of Infection, Immunity and Inflammation, University College LondonLondonUnited Kingdom
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20
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Stockdale JE, Susvitasari K, Tupper P, Sobkowiak B, Mulberry N, Gonçalves da Silva A, Watt AE, Sherry NL, Minko C, Howden BP, Lane CR, Colijn C. Genomic epidemiology offers high resolution estimates of serial intervals for COVID-19. Nat Commun 2023; 14:4830. [PMID: 37563113 PMCID: PMC10415581 DOI: 10.1038/s41467-023-40544-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 07/31/2023] [Indexed: 08/12/2023] Open
Abstract
Serial intervals - the time between symptom onset in infector and infectee - are a fundamental quantity in infectious disease control. However, their estimation requires knowledge of individuals' exposures, typically obtained through resource-intensive contact tracing efforts. We introduce an alternate framework using virus sequences to inform who infected whom and thereby estimate serial intervals. We apply our technique to SARS-CoV-2 sequences from case clusters in the first two COVID-19 waves in Victoria, Australia. We find that our approach offers high resolution, cluster-specific serial interval estimates that are comparable with those obtained from contact data, despite requiring no knowledge of who infected whom and relying on incompletely-sampled data. Compared to a published serial interval, cluster-specific serial intervals can vary estimates of the effective reproduction number by a factor of 2-3. We find that serial interval estimates in settings such as schools and meat processing/packing plants are shorter than those in healthcare facilities.
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Affiliation(s)
| | | | - Paul Tupper
- Department of Mathematics, Simon Fraser University, Burnaby, BC, Canada
| | | | - Nicola Mulberry
- Department of Mathematics, Simon Fraser University, Burnaby, BC, Canada
| | - Anders Gonçalves da Silva
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, VIC, Australia
| | - Anne E Watt
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, VIC, Australia
| | - Norelle L Sherry
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, VIC, Australia
| | - Corinna Minko
- Victorian Department of Health, Melbourne, VIC, Australia
| | - Benjamin P Howden
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, VIC, Australia
| | - Courtney R Lane
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, University of Melbourne at the Peter Doherty Institute for Infection & Immunity, Melbourne, VIC, Australia
| | - Caroline Colijn
- Department of Mathematics, Simon Fraser University, Burnaby, BC, Canada
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21
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Hirata Y, Katano H, Iida S, Mine S, Nagasawa S, Makino Y, Motomura A, Ozono S, Sato Y, Sekizuka T, Kuroda M, Yamaguchi R, Inokuchi G, Torimitsu S, Akitomi S, Yajima D, Saitoh H, Suzuki T, Iwase H. Genomic analysis of SARS-CoV-2 in forensic autopsy cases of COVID-19. J Med Virol 2023; 95:e28990. [PMID: 37537838 DOI: 10.1002/jmv.28990] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/25/2023] [Accepted: 07/14/2023] [Indexed: 08/05/2023]
Abstract
Numerous genomic analyses of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been conducted, highlighting its variations and lineage transitions. Despite the importance of forensic autopsy in investigating deaths due to coronavirus disease 2019 (COVID-19), including out-of-hospital deaths, viral genomic analysis has rarely been reported due in part to postmortem changes. In this study, various specimens were collected from 18 forensic autopsy cases with SARS-CoV-2 infection. Reverse-transcription quantitative polymerase chain reaction revealed the distribution of the virus in the body, primarily in the respiratory organs. Next-generation sequencing determined the complete genome sequences in 15 of the 18 cases, although some cases showed severe postmortem changes or degradation of tissue RNA. Intrahost genomic diversity of the virus was identified in one case of death due to COVID-19. The accumulation of single-nucleotide variations in the lung of the case suggested the intrahost evolution of SARS-CoV-2. Lung of the case showed diffuse alveolar damage histologically and positivity for SARS-CoV-2 by immunohistochemical analysis and in situ hybridization, indicating virus-associated pneumonia. This study provides insights into the feasibility of genomic analysis of SARS-CoV-2 in forensic autopsy cases and the potential for uncovering important information in COVID-19 deaths, including out-of-hospital deaths.
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Affiliation(s)
- Yuichiro Hirata
- Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan
- Department of Legal Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Harutaka Katano
- Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan
| | - Shun Iida
- Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan
| | - Sohtaro Mine
- Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan
| | - Sayaka Nagasawa
- Department of Legal Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Yohsuke Makino
- Department of Legal Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
- Department of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ayumi Motomura
- Department of Legal Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
- Department of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Legal Medicine, International University of Health and Welfare, Chiba, Japan
| | - Seiya Ozono
- Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan
| | - Yuko Sato
- Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan
| | - Tsuyoshi Sekizuka
- Pathogen Genomics Center, National Institute of Infectious Diseases, Tokyo, Japan
| | - Makoto Kuroda
- Pathogen Genomics Center, National Institute of Infectious Diseases, Tokyo, Japan
| | - Rutsuko Yamaguchi
- Department of Legal Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
- Department of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Go Inokuchi
- Department of Legal Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
- Department of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Suguru Torimitsu
- Department of Legal Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
- Department of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shinji Akitomi
- Department of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Japan Medical Association Research Institute, Tokyo, Japan
| | - Daisuke Yajima
- Department of Legal Medicine, International University of Health and Welfare, Chiba, Japan
| | - Hisako Saitoh
- Department of Legal Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
- Department of Forensic Dentistry, Tokyo Medical and Dental University, Tokyo, Japan
| | - Tadaki Suzuki
- Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan
| | - Hirotaro Iwase
- Department of Legal Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
- Department of Forensic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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22
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Skittrall JP, Irigoyen N, Brierley I, Gog JR. A novel approach to finding conserved features in low-variability gene alignments characterises RNA motifs in SARS-CoV and SARS-CoV-2. Sci Rep 2023; 13:12079. [PMID: 37495730 PMCID: PMC10372003 DOI: 10.1038/s41598-023-39207-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/21/2023] [Indexed: 07/28/2023] Open
Abstract
Collections of genetic sequences belonging to related organisms contain information on the evolutionary constraints to which the organisms have been subjected. Heavily constrained regions can be investigated to understand their roles in an organism's life cycle, and drugs can be sought to disrupt these roles. In organisms with low genetic diversity, such as newly-emerged pathogens, it is key to obtain this information early to develop new treatments. Here, we present methods that ensure we can leverage all the information available in a low-signal, low-noise set of sequences, to find contiguous regions of relatively conserved nucleic acid. We demonstrate the application of these methods by analysing over 5 million genome sequences of the recently-emerged RNA virus SARS-CoV-2 and correlating these results with an analysis of 119 genome sequences of SARS-CoV. We propose the precise location of a previously described packaging signal, and discuss explanations for other regions of high conservation.
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Affiliation(s)
- Jordan P Skittrall
- Department of Pathology, Division of Virology, Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, UK.
| | - Nerea Irigoyen
- Department of Pathology, Division of Virology, Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, UK
| | - Ian Brierley
- Department of Pathology, Division of Virology, Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, UK
| | - Julia R Gog
- Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge, CB3 0WA, UK
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23
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Kandel S, Hartzell SL, Ingold AK, Turner GA, Kennedy JL, Ussery DW. Genomic Surveillance of SARS-CoV-2 Using Long-Range PCR Primers. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.10.548464. [PMID: 37502853 PMCID: PMC10369864 DOI: 10.1101/2023.07.10.548464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Whole Genome Sequencing (WGS) of the SARS-CoV-2 virus is crucial in the surveillance of the COVID-19 pandemic. Several primer schemes have been developed to sequence the ~30,000 nucleotide SARS-CoV-2 genome that use a multiplex PCR approach to amplify cDNA copies of the viral genomic RNA. Midnight primers and ARTIC V4.1 primers are the most popular primer schemes that can amplify segments of SARS-CoV-2 (400 bp and 1200 bp, respectively) tiled across the viral RNA genome. Mutations within primer binding sites and primer-primer interactions can result in amplicon dropouts and coverage bias, yielding low-quality genomes with 'Ns' inserted in the missing amplicon regions, causing inaccurate lineage assignments, and making it challenging to monitor lineage-specific mutations in Variants of Concern (VoCs). This study uses seven long-range PCR primers with an amplicon size of ~4500 bp to tile across the complete SARS-CoV-2 genome. One of these regions includes the full-length S-gene by using a set of flanking primers. Using a small set of long-range primers to sequence SARS-CoV-2 genomes reduces the possibility of amplicon dropout and coverage bias.
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Affiliation(s)
- Sangam Kandel
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 West Markham Street (slot 782), Little Rock, AR 72205, USA
| | - Susanna L. Hartzell
- Arkansas Children’s Research Institute, 13 Children’s Way, Little Rock, AR 72202, USA
| | - Ashton K. Ingold
- Arkansas Children’s Research Institute, 13 Children’s Way, Little Rock, AR 72202, USA
| | - Grace A. Turner
- Arkansas Children’s Research Institute, 13 Children’s Way, Little Rock, AR 72202, USA
| | - Joshua L. Kennedy
- Arkansas Children’s Research Institute, 13 Children’s Way, Little Rock, AR 72202, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, 72202, USA
- Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - David W. Ussery
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, 4301 West Markham Street (slot 782), Little Rock, AR 72205, USA
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24
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Haque R, Hossain ME, Miah M, Rahman M, Amin N, Rahman Z, Islam MS, Rahman MZ. Monitoring SARS-CoV-2 variants in wastewater of Dhaka City, Bangladesh: approach to complement public health surveillance systems. Hum Genomics 2023; 17:58. [PMID: 37420264 PMCID: PMC10326934 DOI: 10.1186/s40246-023-00505-4] [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: 04/24/2023] [Accepted: 06/28/2023] [Indexed: 07/09/2023] Open
Abstract
BACKGROUND Wastewater-based epidemiological surveillance has been considered a powerful tool for early detection and monitoring of the dynamics of SARS-CoV-2 and its lineages circulating in a community. This study is aimed to investigate the complexity of SARS-CoV-2 infection dynamics in Dhaka city by examining its genetic variants in wastewater. Also, the study seeks to determine a connection between the SARS-CoV-2 variations detected in clinical testing and those found in wastewater samples. RESULTS Out of 504 samples tested in RT-qPCR, 185 (36.7%) tested positive for SARS-CoV-2 viral RNA. The median log10 concentration of SARS-CoV-2 N gene copies/Liter of wastewater (gc/L) was 5.2, and the median log10 concentration of ORF1ab was 4.9. To further reveal the genetic diversity of SARS-CoV-2, ten samples with ORF1ab real-time RT-PCR cycle threshold (Ct) values ranging from 28.78 to 32.13 were subjected to whole genome sequencing using nanopore technology. According to clade classification, sequences from wastewater samples were grouped into 4 clades: 20A, 20B, 21A, 21J, and the Pango lineage, B.1, B.1.1, B.1.1.25, and B.1.617.2, with coverage ranging from 94.2 to 99.8%. Of them, 70% belonged to clade 20B, followed by 10% to clade 20A, 21A, and 21J. Lineage B.1.1.25 was predominant in Bangladesh and phylogenetically related to the sequences from India, the USA, Canada, the UK, and Italy. The Delta variant (B.1.617.2) was first identified in clinical samples at the beginning of May 2021. In contrast, we found that it was circulating in the community and was detected in wastewater in September 2020. CONCLUSION Environmental surveillance is useful for monitoring temporal and spatial trends of existing and emerging infectious diseases and supports evidence-based public health measures. The findings of this study supported the use of wastewater-based epidemiology and provided the baseline data for the dynamics of SARS-CoV-2 variants in the wastewater environment in Dhaka, Bangladesh.
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Affiliation(s)
- Rehnuma Haque
- Environmental Interventions Unit, Infectious Diseases Division, icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh.
- Department of Women's and Children's Health, Uppsala University, Akademiska Sjukhuset, 75185, Uppsala, Sweden.
| | - Mohammad Enayet Hossain
- One Health Laboratory, Infectious Diseases Division, icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Mojnu Miah
- One Health Laboratory, Infectious Diseases Division, icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Mahbubur Rahman
- Environmental Interventions Unit, Infectious Diseases Division, icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Nuhu Amin
- Environmental Interventions Unit, Infectious Diseases Division, icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
- Institute for Sustainable Futures, The University of Technology Sydney, 235 Jones St, Ultimo, NSW, 2007, Australia
| | - Ziaur Rahman
- Environmental Interventions Unit, Infectious Diseases Division, icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Md Shariful Islam
- Environmental Interventions Unit, Infectious Diseases Division, icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
- The School of Public Health, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Mohammed Ziaur Rahman
- One Health Laboratory, Infectious Diseases Division, icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
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25
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Jiang H, Joshi A, Gan T, Janowski AB, Fujii C, Bricker TL, Darling TL, Harastani HH, Seehra K, Chen H, Tahan S, Jung A, Febles B, Blatter JA, Handley SA, Parikh BA, Wang D, Boon ACM. The Highly Conserved Stem-Loop II Motif Is Dispensable for SARS-CoV-2. J Virol 2023; 97:e0063523. [PMID: 37223945 PMCID: PMC10308922 DOI: 10.1128/jvi.00635-23] [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: 04/28/2023] [Accepted: 05/01/2023] [Indexed: 05/25/2023] Open
Abstract
The stem-loop II motif (s2m) is an RNA structural element that is found in the 3' untranslated region (UTR) of many RNA viruses, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Though the motif was discovered over 25 years ago, its functional significance is unknown. In order to understand the importance of s2m, we created viruses with deletions or mutations of the s2m by reverse genetics and also evaluated a clinical isolate harboring a unique s2m deletion. Deletion or mutation of the s2m had no effect on growth in vitro or on growth and viral fitness in Syrian hamsters in vivo. We also compared the secondary structure of the 3' UTR of wild-type and s2m deletion viruses using selective 2'-hydroxyl acylation analyzed by primer extension and mutational profiling (SHAPE-MaP) and dimethyl sulfate mutational profiling and sequencing (DMS-MaPseq). These experiments demonstrate that the s2m forms an independent structure and that its deletion does not alter the overall remaining 3'-UTR RNA structure. Together, these findings suggest that s2m is dispensable for SARS-CoV-2. IMPORTANCE RNA viruses, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), contain functional structures to support virus replication, translation, and evasion of the host antiviral immune response. The 3' untranslated region of early isolates of SARS-CoV-2 contained a stem-loop II motif (s2m), which is an RNA structural element that is found in many RNA viruses. This motif was discovered over 25 years ago, but its functional significance is unknown. We created SARS-CoV-2 with deletions or mutations of the s2m and determined the effect of these changes on viral growth in tissue culture and in rodent models of infection. Deletion or mutation of the s2m element had no effect on growth in vitro or on growth and viral fitness in Syrian hamsters in vivo. We also observed no impact of the deletion on other known RNA structures in the same region of the genome. These experiments demonstrate that s2m is dispensable for SARS-CoV-2.
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Affiliation(s)
- Hongbing Jiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Astha Joshi
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Tianyu Gan
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Andrew B. Janowski
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Chika Fujii
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Traci L. Bricker
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Tamarand L. Darling
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Houda H. Harastani
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Kuljeet Seehra
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Hongwei Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Stephen Tahan
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ana Jung
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Binita Febles
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Joshua A. Blatter
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Scott A. Handley
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bijal A. Parikh
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - David Wang
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Adrianus C. M. Boon
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
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26
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de Vries EM, Cogan NOI, Gubala AJ, Rodoni BC, Lynch SE. Fine-scale genomic tracking of Ross River virus using nanopore sequencing. Parasit Vectors 2023; 16:186. [PMID: 37280650 PMCID: PMC10243270 DOI: 10.1186/s13071-023-05734-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: 11/29/2022] [Accepted: 03/11/2023] [Indexed: 06/08/2023] Open
Abstract
BACKGROUND Ross River virus (RRV) is Australia's most common and widespread mosquito-transmitted arbovirus and is of significant public health concern. With increasing anthropogenic impacts on wildlife and mosquito populations, it is important that we understand how RRV circulates in its endemic hotspots to determine where public health efforts should be directed. Current surveillance methods are effective in locating the virus but do not provide data on the circulation of the virus and its strains within the environment. This study examined the ability to identify single nucleotide polymorphisms (SNPs) within the variable E2/E3 region by generating full-length haplotypes from a range of mosquito trap-derived samples. METHODS A novel tiled primer amplification workflow for amplifying RRV was developed with analysis using Oxford Nanopore Technology's MinION and a custom ARTIC/InterARTIC bioinformatic protocol. By creating a range of amplicons across the whole genome, fine-scale SNP analysis was enabled by specifically targeting the variable region that was amplified as a single fragment and established haplotypes that informed spatial-temporal variation of RRV in the study site in Victoria. RESULTS A bioinformatic and laboratory pipeline was successfully designed and implemented on mosquito whole trap homogenates. Resulting data showed that genotyping could be conducted in real time and that whole trap consensus of the viruses (with major SNPs) could be determined in a timely manner. Minor variants were successfully detected from the variable E2/E3 region of RRV, which allowed haplotype determination within complex mosquito homogenate samples. CONCLUSIONS The novel bioinformatic and wet laboratory methods developed here will enable fast detection and characterisation of RRV isolates. The concepts presented in this body of work are transferable to other viruses that exist as quasispecies in samples. The ability to detect minor SNPs, and thus haplotype strains, is critically important for understanding the epidemiology of viruses their natural environment.
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Affiliation(s)
- Ellen M. de Vries
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC 3083 Australia
| | - Noel O. I. Cogan
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC 3083 Australia
| | - Aneta J. Gubala
- Sensors and Effectors Division, Defence Science & Technology Group, Fishermans Bend, VIC 3207 Australia
| | - Brendan C. Rodoni
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC 3083 Australia
| | - Stacey E. Lynch
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia
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27
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Anoh EA, Wayoro O, Monemo P, Belarbi E, Sachse A, Wilkinson E, San JE, Leendertz FH, Diané B, Calvignac-Spencer S, Akoua-Koffi C, Schubert G. Subregional origins of emerging SARS-CoV-2 variants during the second pandemic wave in Côte d'Ivoire. Virus Genes 2023; 59:370-376. [PMID: 36932280 PMCID: PMC10023306 DOI: 10.1007/s11262-023-01984-2] [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: 01/09/2023] [Accepted: 02/22/2023] [Indexed: 03/19/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants with increased transmissibility, virulence and immune escape abilities have heavily altered the COVID-19 pandemic's course. Deciphering local and global transmission patterns of those variants is thus key in building a profound understanding of the virus' spread around the globe. In the present study, we investigate SARS-CoV-2 variant epidemiology in Côte d'Ivoire, Western sub-Saharan Africa. We therefore generated 234 full SARS-CoV-2 genomes stemming from Central and Northern Côte d'Ivoire. Covering the first and second pandemic wave the country had been facing, we identified 20 viral lineages and showed that in Côte d'Ivoire the second pandemic wave in 2021 was driven by the spread of the Alpha (B.1.1.7) and Eta (B.1.525) variant. Our analyses are consistent with a limited number of international introductions of Alpha and Eta into Côte d'Ivoire, and those introduction events mostly stemmed from within the West African subregion. This suggests that subregional travel to Côte d'Ivoire had more impact on local pandemic waves than direct intercontinental travel.
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Affiliation(s)
- Etilé A Anoh
- Centre Hospitalier et Universitaire de Bouaké, Bouaké, Côte d'Ivoire
| | - Oby Wayoro
- Centre Hospitalier et Universitaire de Bouaké, Bouaké, Côte d'Ivoire
| | - Pacôme Monemo
- Centre Hospitalier et Universitaire de Bouaké, Bouaké, Côte d'Ivoire
- Université Alassane Ouattara de Bouaké, Bouaké, Côte d'Ivoire
| | - Essia Belarbi
- Robert Koch Institute, Nordufer 20, 13353, Berlin, Germany
| | - Andreas Sachse
- Robert Koch Institute, Nordufer 20, 13353, Berlin, Germany
- Helmholtz Institute for One Health, Greifswald, Germany
| | - Eduan Wilkinson
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
- Centre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
| | - James E San
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Fabian H Leendertz
- Robert Koch Institute, Nordufer 20, 13353, Berlin, Germany
- Helmholtz Institute for One Health, Greifswald, Germany
| | - Bamourou Diané
- Centre Hospitalier et Universitaire de Bouaké, Bouaké, Côte d'Ivoire
| | | | - Chantal Akoua-Koffi
- Centre Hospitalier et Universitaire de Bouaké, Bouaké, Côte d'Ivoire
- Université Alassane Ouattara de Bouaké, Bouaké, Côte d'Ivoire
| | - Grit Schubert
- Robert Koch Institute, Nordufer 20, 13353, Berlin, Germany.
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28
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Diagne MM, Ndione MHD, Mencattelli G, Diallo A, Ndiaye EH, Di Domenico M, Diallo D, Kane M, Curini V, Top NM, Marcacci M, Mbanne M, Ancora M, Secondini B, Di Lollo V, Teodori L, Leone A, Puglia I, Gaye A, Sall AA, Loucoubar C, Rosà R, Diallo M, Monaco F, Faye O, Cammà C, Rizzoli A, Savini G, Faye O. Novel Amplicon-Based Sequencing Approach to West Nile Virus. Viruses 2023; 15:1261. [PMID: 37376561 DOI: 10.3390/v15061261] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/14/2023] [Accepted: 05/17/2023] [Indexed: 06/29/2023] Open
Abstract
West Nile virus is a re-emerging arbovirus whose impact on public health is increasingly important as more and more epidemics and epizootics occur, particularly in America and Europe, with evidence of active circulation in Africa. Because birds constitute the main reservoirs, migratory movements allow the diffusion of various lineages in the world. It is therefore crucial to properly control the dispersion of these lineages, especially because some have a greater health impact on public health than others. This work describes the development and validation of a novel whole-genome amplicon-based sequencing approach to West Nile virus. This study was carried out on different strains from lineage 1 and 2 from Senegal and Italy. The presented protocol/approach showed good coverage using samples derived from several vertebrate hosts and may be valuable for West Nile genomic surveillance.
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Affiliation(s)
| | | | - Giulia Mencattelli
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
- Centre Agriculture Food Environment, University of Trento, 38010 San Michele all'Adige, Italy
- Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all'Adige, Italy
| | - Amadou Diallo
- Epidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
| | - El Hadji Ndiaye
- Medical Zoology Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
| | - Marco Di Domenico
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Diawo Diallo
- Medical Zoology Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
| | - Mouhamed Kane
- Virology Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
| | - Valentina Curini
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Ndeye Marieme Top
- Epidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
| | - Maurilia Marcacci
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Maïmouna Mbanne
- Virology Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
| | - Massimo Ancora
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Barbara Secondini
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Valeria Di Lollo
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Liana Teodori
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Alessandra Leone
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Ilaria Puglia
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Alioune Gaye
- Medical Zoology Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
| | - Amadou Alpha Sall
- Virology Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
| | - Cheikh Loucoubar
- Epidemiology, Clinical Research and Data Science Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
| | - Roberto Rosà
- Centre Agriculture Food Environment, University of Trento, 38010 San Michele all'Adige, Italy
| | - Mawlouth Diallo
- Medical Zoology Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
| | - Federica Monaco
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Ousmane Faye
- Virology Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
| | - Cesare Cammà
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Annapaola Rizzoli
- Research and Innovation Centre, Fondazione Edmund Mach, 38010 San Michele all'Adige, Italy
| | - Giovanni Savini
- Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise, 64100 Teramo, Italy
| | - Oumar Faye
- Virology Department, Institut Pasteur de Dakar, Dakar BP220, Senegal
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29
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Sapoval N, Liu Y, Lou EG, Hopkins L, Ensor KB, Schneider R, Stadler LB, Treangen TJ. Enabling accurate and early detection of recently emerged SARS-CoV-2 variants of concern in wastewater. Nat Commun 2023; 14:2834. [PMID: 37198181 DOI: 10.1038/s41467-023-38184-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 04/18/2023] [Indexed: 05/19/2023] Open
Abstract
As clinical testing declines, wastewater monitoring can provide crucial surveillance on the emergence of SARS-CoV-2 variant of concerns (VoCs) in communities. In this paper we present QuaID, a novel bioinformatics tool for VoC detection based on quasi-unique mutations. The benefits of QuaID are three-fold: (i) provides up to 3-week earlier VoC detection, (ii) accurate VoC detection (>95% precision on simulated benchmarks), and (iii) leverages all mutational signatures (including insertions & deletions).
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Affiliation(s)
- Nicolae Sapoval
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX, 77005, USA
| | - Yunxi Liu
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX, 77005, USA
| | - Esther G Lou
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, Houston, TX, 77005, USA
| | - Loren Hopkins
- Houston Health Department, 8000 N. Stadium Dr., Houston, TX, 77054, USA
- Department of Statistics, Rice University, 6100 Main Street, Houston, TX, 77005, USA
| | - Katherine B Ensor
- Department of Statistics, Rice University, 6100 Main Street, Houston, TX, 77005, USA
| | - Rebecca Schneider
- Houston Health Department, 8000 N. Stadium Dr., Houston, TX, 77054, USA
| | - Lauren B Stadler
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, Houston, TX, 77005, USA.
| | - Todd J Treangen
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX, 77005, USA.
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30
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Jung A, Droit L, Febles B, Fronick C, Cook L, Handley SA, Parikh BA, Wang D. Tracking the prevalence and emergence of SARS CoV2 variants of concern using a regional genomic surveillance program. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.08.23289687. [PMID: 37214888 PMCID: PMC10197817 DOI: 10.1101/2023.05.08.23289687] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
SARS-CoV-2 molecular testing coupled with whole genome sequencing is instrumental for real-time genomic surveillance. Genomic surveillance is critical for monitoring the spread of variants of concern (VOC) as well as novel variant discovery. Since the beginning of the pandemic millions of SARS-CoV-2 genomes have been deposited into public sequence databases. This is the result of efforts of both national and regional diagnostic laboratories. Here we describe the results of SARS-CoV-2 genomic surveillance from February 2021 to June 2022 at a metropolitan hospital in the USA. We demonstrate that consistent daily sampling is sufficient to track the regional prevalence and emergence of VOC. Similar sampling efforts should be considered a viable option for local SARS-CoV-2 genomic surveillance at other regional laboratories.
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Affiliation(s)
- Ana Jung
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Lindsay Droit
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Binita Febles
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Catarina Fronick
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Lisa Cook
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Scott A. Handley
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Bijal A Parikh
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - David Wang
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
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31
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Bosmeny MS, White AA, Pater AA, Crew J, Geltz J, Gagnon KT. Global mpox lineage discovery and rapid outbreak tracking with nanopore sequencing. Virol J 2023; 20:90. [PMID: 37149667 PMCID: PMC10163848 DOI: 10.1186/s12985-023-02059-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 05/01/2023] [Indexed: 05/08/2023] Open
Abstract
Insufficient tracking of virus introduction, spread, and new lineage emergence for the human monkeypox (mpox) virus 1 (hMPXV1) outbreak of 2022 hindered epidemiological studies and public health response. hMPXV1 mutations accumulated unexpectedly faster than predicted. Thus, new variants with altered pathogenicity could emerge and spread without early detection. Whole genome sequencing addresses this gap when implemented but requires widely accessible and standardized methodologies to be effective both regionally and globally. Here we developed a rapid nanopore whole genome sequencing method complete with working protocols, from DNA extraction to phylogenetic analysis tools. Using this method, we sequenced 84 complete hMPXV1 genomes from Illinois, a Midwestern region of the United States, spanning the first few months of the outbreak. The resulting five-fold increase in hMPXV1 genomes from this region established two previously unnamed global lineages, several mutational profiles not seen elsewhere, multiple separate introductions of the virus into the region, and the likely emergence and spread of new lineages from within this region. These results demonstrate that a dearth of genomic sequencing of hMPXV1 slowed our understanding and response to the mpox outbreak. This accessible nanopore sequencing approach makes near real-time mpox tracking and rapid lineage discovery straightforward and creates a blueprint for how to deploy nanopore sequencing for genomic surveillance of diverse viruses and future outbreaks.
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Affiliation(s)
- Michael S Bosmeny
- Department of Biochemistry and Molecular Biology, Southern Illinois University School of Medicine, Carbondale, IL, USA
| | - Adam A White
- Department of Biochemistry and Molecular Biology, Southern Illinois University School of Medicine, Carbondale, IL, USA
| | - Adrian A Pater
- Department of Chemistry and Biochemistry, Southern Illinois University, Carbondale, IL, USA
| | - Jennifer Crew
- Illinois Department of Public Health, Springfield, IL, USA
| | - Joshua Geltz
- Illinois Department of Public Health, Springfield, IL, USA
| | - Keith T Gagnon
- Department of Biochemistry and Molecular Biology, Southern Illinois University School of Medicine, Carbondale, IL, USA.
- Department of Chemistry and Biochemistry, Southern Illinois University, Carbondale, IL, USA.
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32
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Maschietto C, Otto G, Rouzé P, Debortoli N, Bihin B, Nyinkeu L, Denis O, Huang TD, Mullier F, Bogaerts P, Degosserie J. Minimal requirements for ISO15189 validation and accreditation of three next generation sequencing procedures for SARS-CoV-2 surveillance in clinical setting. Sci Rep 2023; 13:6934. [PMID: 37117393 PMCID: PMC10140720 DOI: 10.1038/s41598-023-34088-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 04/24/2023] [Indexed: 04/30/2023] Open
Abstract
Rapid and recurrent breakthroughs of new SARS-CoV-2 strains (variants) have prompted public health authorities worldwide to set up surveillance networks to monitor the circulation of variants of concern. The use of next-generation sequencing technologies has raised the need for quality control assessment as required in clinical laboratories. The present study is the first to propose a validation guide for SARS-CoV-2 typing using three different NGS methods fulfilling ISO15189 standards. These include the assessment of the risk, specificity, accuracy, reproducibility, and repeatability of the methods. Among the three methods used, two are amplicon-based involving reverse transcription polymerase chain reaction (Artic v3 and Midnight v1) on Oxford Nanopore Technologies while the third one is amplicon-based using reverse complement polymerase chain reaction (Nimagen) on Illumina technology. We found that all methods met the quality requirement (e.g., 100% concordant typing results for accuracy, reproducibility, and repeatability) for SARS-CoV-2 typing in clinical setting. Additionally, the typing results emerging from each of the three sequencing methods were compared using three widely known nomenclatures (WHO, Pangolineage, and Nextclade). They were also compared regarding single nucleotide variations. The outcomes showed that Artic v3 and Nimagen should be privileged for outbreak investigation as they provide higher quality results for samples that do not meet inclusion criteria for analysis in a clinical setting. This study is a first step towards validation of laboratory developed NGS tests in the context of the new European regulation for medical devices and in vitro diagnostics.
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Affiliation(s)
- Céline Maschietto
- Department of Laboratory Medicine, UCLouvain, CHU UCL Namur, 5530, Yvoir, Belgium
- COVID-19 Federal Testing Platform Bis, CHU UCL Namur & UNamur, 5530, Yvoir, Belgium
| | - Gaëtan Otto
- Department of Laboratory Medicine, UCLouvain, CHU UCL Namur, 5530, Yvoir, Belgium
- COVID-19 Federal Testing Platform Bis, CHU UCL Namur & UNamur, 5530, Yvoir, Belgium
| | - Pauline Rouzé
- Department of Laboratory Medicine, UCLouvain, CHU UCL Namur, 5530, Yvoir, Belgium
- Laboratory of Microbiology, CHU UCL Namur, 5530, Yvoir, Belgium
| | - Nicolas Debortoli
- Department of Laboratory Medicine, UCLouvain, CHU UCL Namur, 5530, Yvoir, Belgium
- Namur Molecular Tech, CHU UCL Namur, 5530, Yvoir, Belgium
| | - Benoît Bihin
- Scientific Support Unit, CHU UCL Namur, 5530, Yvoir, Belgium
| | - Lesly Nyinkeu
- Department of Laboratory Medicine, UCLouvain, CHU UCL Namur, 5530, Yvoir, Belgium
- COVID-19 Federal Testing Platform Bis, CHU UCL Namur & UNamur, 5530, Yvoir, Belgium
- Namur Molecular Tech, CHU UCL Namur, 5530, Yvoir, Belgium
| | - Olivier Denis
- Department of Laboratory Medicine, UCLouvain, CHU UCL Namur, 5530, Yvoir, Belgium
- COVID-19 Federal Testing Platform Bis, CHU UCL Namur & UNamur, 5530, Yvoir, Belgium
- Laboratory of Microbiology, CHU UCL Namur, 5530, Yvoir, Belgium
| | - Te-Din Huang
- Department of Laboratory Medicine, UCLouvain, CHU UCL Namur, 5530, Yvoir, Belgium
- COVID-19 Federal Testing Platform Bis, CHU UCL Namur & UNamur, 5530, Yvoir, Belgium
- Laboratory of Microbiology, CHU UCL Namur, 5530, Yvoir, Belgium
| | - François Mullier
- Department of Laboratory Medicine, UCLouvain, CHU UCL Namur, 5530, Yvoir, Belgium
- COVID-19 Federal Testing Platform Bis, CHU UCL Namur & UNamur, 5530, Yvoir, Belgium
| | - Pierre Bogaerts
- Department of Laboratory Medicine, UCLouvain, CHU UCL Namur, 5530, Yvoir, Belgium
- Laboratory of Microbiology, CHU UCL Namur, 5530, Yvoir, Belgium
| | - Jonathan Degosserie
- Department of Laboratory Medicine, UCLouvain, CHU UCL Namur, 5530, Yvoir, Belgium.
- COVID-19 Federal Testing Platform Bis, CHU UCL Namur & UNamur, 5530, Yvoir, Belgium.
- Namur Molecular Tech, CHU UCL Namur, 5530, Yvoir, Belgium.
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Claro IM, Ramundo MS, Coletti TM, da Silva CAM, Valenca IN, Candido DS, Sales FCS, Manuli ER, de Jesus JG, de Paula A, Felix AC, Andrade PDS, Pinho MC, Souza WM, Amorim MR, Proenca-Modena JL, Kallas EG, Levi JE, Faria NR, Sabino EC, Loman NJ, Quick J. Rapid viral metagenomics using SMART-9N amplification and nanopore sequencing. Wellcome Open Res 2023; 6:241. [PMID: 37224315 PMCID: PMC10189296 DOI: 10.12688/wellcomeopenres.17170.1] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/05/2023] [Indexed: 12/08/2023] Open
Abstract
Emerging and re-emerging viruses are a global health concern. Genome sequencing as an approach for monitoring circulating viruses is currently hampered by complex and expensive methods. Untargeted, metagenomic nanopore sequencing can provide genomic information to identify pathogens, prepare for or even prevent outbreaks. SMART (Switching Mechanism at the 5' end of RNA Template) is a popular approach for RNA-Seq but most current methods rely on oligo-dT priming to target polyadenylated mRNA molecules. We have developed two random primed SMART-Seq approaches, a sequencing agnostic approach 'SMART-9N' and a version compatible rapid adapters available from Oxford Nanopore Technologies 'Rapid SMART-9N'. The methods were developed using viral isolates, clinical samples, and compared to a gold-standard amplicon-based method. From a Zika virus isolate the SMART-9N approach recovered 10kb of the 10.8kb RNA genome in a single nanopore read. We also obtained full genome coverage at a high depth coverage using the Rapid SMART-9N, which takes only 10 minutes and costs up to 45% less than other methods. We found the limits of detection of these methods to be 6 focus forming units (FFU)/mL with 99.02% and 87.58% genome coverage for SMART-9N and Rapid SMART-9N respectively. Yellow fever virus plasma samples and SARS-CoV-2 nasopharyngeal samples previously confirmed by RT-qPCR with a broad range of Ct-values were selected for validation. Both methods produced greater genome coverage when compared to the multiplex PCR approach and we obtained the longest single read of this study (18.5 kb) with a SARS-CoV-2 clinical sample, 60% of the virus genome using the Rapid SMART-9N method. This work demonstrates that SMART-9N and Rapid SMART-9N are sensitive, low input, and long-read compatible alternatives for RNA virus detection and genome sequencing and Rapid SMART-9N improves the cost, time, and complexity of laboratory work.
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Affiliation(s)
- Ingra M. Claro
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Mariana S. Ramundo
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Thais M. Coletti
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Camila A. M. da Silva
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Ian N. Valenca
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Darlan S. Candido
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Flavia C. S. Sales
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Erika R. Manuli
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Jaqueline G. de Jesus
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Anderson de Paula
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Alvina Clara Felix
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Pamela dos Santos Andrade
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Faculdade de Saúde Pública da Universidade de São Paulo, Sao Paulo, 01246-904, Brazil
| | - Mariana C. Pinho
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - William M. Souza
- World Reference Center for Emerging Viruses and Arboviruses and Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA
| | - Mariene R. Amorim
- Laboratory of Emerging Viruses, Department of Genetics, Microbiology, and Immunology, Institute of Biology, University of Campinas, Campinas, 13083-862, Brazil
| | - José Luiz Proenca-Modena
- Laboratory of Emerging Viruses, Department of Genetics, Microbiology, and Immunology, Institute of Biology, University of Campinas, Campinas, 13083-862, Brazil
- Experimental Medicine Research Cluster, University of Campinas, Campinas, 13083-862, Brazil
| | - Esper G. Kallas
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - José Eduardo Levi
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- DASA, Sao Paulo, 06455-010, Brazil
| | - Nuno Rodrigues Faria
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Ester C. Sabino
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Nicholas J. Loman
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Joshua Quick
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
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34
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Claro IM, Ramundo MS, Coletti TM, da Silva CAM, Valenca IN, Candido DS, Sales FCS, Manuli ER, de Jesus JG, de Paula A, Felix AC, Andrade PDS, Pinho MC, Souza WM, Amorim MR, Proenca-Modena JL, Kallas EG, Levi JE, Faria NR, Sabino EC, Loman NJ, Quick J. Rapid viral metagenomics using SMART-9N amplification and nanopore sequencing. Wellcome Open Res 2023; 6:241. [PMID: 37224315 PMCID: PMC10189296 DOI: 10.12688/wellcomeopenres.17170.2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/05/2023] [Indexed: 05/26/2023] Open
Abstract
Emerging and re-emerging viruses are a global health concern. Genome sequencing as an approach for monitoring circulating viruses is currently hampered by complex and expensive methods. Untargeted, metagenomic nanopore sequencing can provide genomic information to identify pathogens, prepare for or even prevent outbreaks. SMART (Switching Mechanism at the 5' end of RNA Template) is a popular approach for RNA-Seq but most current methods rely on oligo-dT priming to target polyadenylated mRNA molecules. We have developed two random primed SMART-Seq approaches, a sequencing agnostic approach 'SMART-9N' and a version compatible rapid adapters available from Oxford Nanopore Technologies 'Rapid SMART-9N'. The methods were developed using viral isolates, clinical samples, and compared to a gold-standard amplicon-based method. From a Zika virus isolate the SMART-9N approach recovered 10kb of the 10.8kb RNA genome in a single nanopore read. We also obtained full genome coverage at a high depth coverage using the Rapid SMART-9N, which takes only 10 minutes and costs up to 45% less than other methods. We found the limits of detection of these methods to be 6 focus forming units (FFU)/mL with 99.02% and 87.58% genome coverage for SMART-9N and Rapid SMART-9N respectively. Yellow fever virus plasma samples and SARS-CoV-2 nasopharyngeal samples previously confirmed by RT-qPCR with a broad range of Ct-values were selected for validation. Both methods produced greater genome coverage when compared to the multiplex PCR approach and we obtained the longest single read of this study (18.5 kb) with a SARS-CoV-2 clinical sample, 60% of the virus genome using the Rapid SMART-9N method. This work demonstrates that SMART-9N and Rapid SMART-9N are sensitive, low input, and long-read compatible alternatives for RNA virus detection and genome sequencing and Rapid SMART-9N improves the cost, time, and complexity of laboratory work.
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Affiliation(s)
- Ingra M. Claro
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Mariana S. Ramundo
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Thais M. Coletti
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Camila A. M. da Silva
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Ian N. Valenca
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Darlan S. Candido
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Flavia C. S. Sales
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Erika R. Manuli
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Jaqueline G. de Jesus
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Anderson de Paula
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Alvina Clara Felix
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Pamela dos Santos Andrade
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Faculdade de Saúde Pública da Universidade de São Paulo, Sao Paulo, 01246-904, Brazil
| | - Mariana C. Pinho
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - William M. Souza
- World Reference Center for Emerging Viruses and Arboviruses and Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA
| | - Mariene R. Amorim
- Laboratory of Emerging Viruses, Department of Genetics, Microbiology, and Immunology, Institute of Biology, University of Campinas, Campinas, 13083-862, Brazil
| | - José Luiz Proenca-Modena
- Laboratory of Emerging Viruses, Department of Genetics, Microbiology, and Immunology, Institute of Biology, University of Campinas, Campinas, 13083-862, Brazil
- Experimental Medicine Research Cluster, University of Campinas, Campinas, 13083-862, Brazil
| | - Esper G. Kallas
- Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - José Eduardo Levi
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- DASA, Sao Paulo, 06455-010, Brazil
| | - Nuno Rodrigues Faria
- MRC Centre for Global Infectious Disease Analysis, J-IDEA, Imperial College London, London, SW7 2AZ, UK
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
- Department of Zoology, University of Oxford, Oxford, OX1 3SZ, UK
| | - Ester C. Sabino
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, 05403-000, Brazil
| | - Nicholas J. Loman
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Joshua Quick
- School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK
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Wagner GE, Dabernig-Heinz J, Lipp M, Cabal A, Simantzik J, Kohl M, Scheiber M, Lichtenegger S, Ehricht R, Leitner E, Ruppitsch W, Steinmetz I. Real-Time Nanopore Q20+ Sequencing Enables Extremely Fast and Accurate Core Genome MLST Typing and Democratizes Access to High-Resolution Bacterial Pathogen Surveillance. J Clin Microbiol 2023; 61:e0163122. [PMID: 36988494 PMCID: PMC10117118 DOI: 10.1128/jcm.01631-22] [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: 11/04/2022] [Accepted: 02/17/2023] [Indexed: 03/30/2023] Open
Abstract
Next-generation whole-genome sequencing is essential for high-resolution surveillance of bacterial pathogens, for example, during outbreak investigations or for source tracking and escape variant analysis. However, current global sequencing and bioinformatic bottlenecks and a long time to result with standard technologies demand new approaches. In this study, we investigated whether novel nanopore Q20+ long-read chemistry enables standardized and easily accessible high-resolution typing combined with core genome multilocus sequence typing (cgMLST). We set high requirements for discriminatory power by using the slowly evolving bacterium Bordetella pertussis as a model pathogen. Our results show that the increased raw read accuracy enables the description of epidemiological scenarios and phylogenetic linkages at the level of gold-standard short reads. The same was true for our variant analysis of vaccine antigens, resistance genes, and virulence factors, demonstrating that nanopore sequencing is a legitimate competitor in the area of next-generation sequencing (NGS)-based high-resolution bacterial typing. Furthermore, we evaluated the parameters for the fastest possible analysis of the data. By combining the optimized processing pipeline with real-time basecalling, we established a workflow that allows for highly accurate and extremely fast high-resolution typing of bacterial pathogens while sequencing is still in progress. Along with advantages such as low costs and portability, the approach suggested here might democratize modern bacterial typing, enabling more efficient infection control globally.
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Affiliation(s)
- Gabriel E. Wagner
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Johanna Dabernig-Heinz
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Michaela Lipp
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Adriana Cabal
- Austrian Agency for Health and Food Safety, Vienna, Austria
| | - Jonathan Simantzik
- Medical and Life Sciences Faculty, Furtwangen University, Villingen-Schwenningen, Germany
| | - Matthias Kohl
- Medical and Life Sciences Faculty, Furtwangen University, Villingen-Schwenningen, Germany
| | - Martina Scheiber
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Sabine Lichtenegger
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Ralf Ehricht
- InfectoGnostics Research Campus, Centre for Applied Research, Jena, Germany
- Leibniz-Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany
- Friedrich Schiller University Jena, Institute of Physical Chemistry, Jena, Germany
| | - Eva Leitner
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | | | - Ivo Steinmetz
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
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Alathari S, Chaput DL, Bolaños LM, Joseph A, Jackson VLN, Verner-Jeffreys D, Paley R, Tyler CR, Temperton B. A Multiplexed, Tiled PCR Method for Rapid Whole-Genome Sequencing of Infectious Spleen and Kidney Necrosis Virus (ISKNV) in Tilapia. Viruses 2023; 15:v15040965. [PMID: 37112945 PMCID: PMC10145788 DOI: 10.3390/v15040965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 04/06/2023] [Accepted: 04/10/2023] [Indexed: 04/29/2023] Open
Abstract
Tilapia farming is one of the most important sectors in aquaculture worldwide and of major importance to global food security. Infectious spleen and kidney necrosis virus (ISKNV) has been identified as an agent of high morbidity and mortality, threatening tilapia aquaculture. ISKNV was detected in Lake Volta, Ghana, in September 2018 and spread rapidly, with mortality rates between 60 and 90% and losses of more than 10 tonnes of fish per day. Understanding the spread and evolution of viral pathogens is important for control strategies. Here, we developed a tiled-PCR sequencing approach for the whole-genome sequencing of ISKNV, using long read sequencing to enable field-based, real-time genomic surveillance. This work represents the first use of tiled-PCR for whole genome recovery of viruses in aquaculture, with the longest genome target (>110 kb dsDNA) to date. Our protocol was applied to field samples collected from the ISKNV outbreaks from four intensive tilapia cage culture systems across Lake Volta, between October 2018 and May 2022. Despite the low mutation rate of dsDNA viruses, 20 single nucleotide polymorphisms accumulated during the sampling period. Droplet digital PCR identified a minimum requirement of template in a sample to recover 50% of an ISKNV genome at 275 femtograms (2410 viral templates per 5 µL sequencing reaction). Overall, tiled-PCR sequencing of ISKNV provides an informative tool to assist in disease control in aquaculture.
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Affiliation(s)
- Shayma Alathari
- Department of Biosciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK
| | - Dominique L Chaput
- Department of Biosciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK
| | - Luis M Bolaños
- Department of Biosciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK
| | - Andrew Joseph
- Centre for Environment, Fisheries and Aquaculture Science (Cefas), The Nothe, Barrack Road, Weymouth DT4 8UB, UK
| | - Victoria L N Jackson
- Department of Biosciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK
| | - David Verner-Jeffreys
- Centre for Environment, Fisheries and Aquaculture Science (Cefas), The Nothe, Barrack Road, Weymouth DT4 8UB, UK
- Sustainable Aquaculture Futures Centre, University of Exeter, Exeter EX4 4QD, UK
| | - Richard Paley
- Centre for Environment, Fisheries and Aquaculture Science (Cefas), The Nothe, Barrack Road, Weymouth DT4 8UB, UK
| | - Charles R Tyler
- Department of Biosciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK
- Sustainable Aquaculture Futures Centre, University of Exeter, Exeter EX4 4QD, UK
| | - Ben Temperton
- Department of Biosciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK
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37
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Ulhuq FR, Barge M, Falconer K, Wild J, Fernandes G, Gallagher A, McGinley S, Sugadol A, Tariq M, Maloney D, Kenicer J, Dewar R, Templeton K, McHugh MP. Analysis of the ARTIC V4 and V4.1 SARS-CoV-2 primers and their impact on the detection of Omicron BA.1 and BA.2 lineage-defining mutations. Microb Genom 2023; 9:mgen000991. [PMID: 37083576 PMCID: PMC10210939 DOI: 10.1099/mgen.0.000991] [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: 12/05/2022] [Accepted: 02/22/2023] [Indexed: 04/22/2023] Open
Abstract
The ARTIC protocol uses a multiplexed PCR approach with two primer pools tiling the entire SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) genome. Primer pool updates are necessary for accurate amplicon sequencing of evolving SARS-CoV-2 variants with novel mutations. The suitability of the ARTIC V4 and updated V4.1 primer scheme was assessed using whole genome sequencing of Omicron from clinical samples using Oxford Nanopore Technology. Analysis of Omicron BA.1 genomes revealed that 93.22 % of clinical samples generated improved genome coverage at 50× read depth with V4.1 primers when compared to V4 primers. Additionally, the V4.1 primers improved coverage of BA.1 across amplicons 76 and 88, which resulted in the detection of the variant-defining mutations G22898A, A26530G and C26577G. The Omicron BA.2 sub-variant (VUI-22JAN-01) replaced BA.1 as the dominant variant by March 2022, and analysis of 168 clinical samples showed reduced coverage across amplicons 15 and 75. Upon further interrogation of primer binding sites, a mutation at C4321T [present in 163/168 (97 %) of samples] was identified as a possible cause of complete dropout of amplicon 15. Furthermore, two mutations were identified within the primer binding regions for amplicon 75: A22786C (present in 90 % of samples) and C22792T (present in 12.5 % of samples). Together, these mutations may result in reduced coverage of amplicon 75, and further primer updates would allow the identification of the two BA.2-defining mutations present in amplicon 75: A22688G and T22679C. This work highlights the need for ongoing surveillance of primer matches as circulating variants evolve and change.
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Affiliation(s)
- Fatima R. Ulhuq
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Madhuri Barge
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Kerry Falconer
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Jonathan Wild
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Goncalo Fernandes
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Abbie Gallagher
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Suzie McGinley
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Ahmad Sugadol
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Muhammad Tariq
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Daniel Maloney
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, EH9 3JR, UK
| | - Juliet Kenicer
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Rebecca Dewar
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Kate Templeton
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
| | - Martin P. McHugh
- Viral Genotyping Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian, Edinburgh, EH16 4SA, UK
- School of Medicine, University of St Andrews, St Andrews, KY16 9TF, UK
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38
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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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39
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Munro R, Holmes N, Moore C, Carlile M, Payne A, Tyson JR, Williams T, Alder C, Snell LB, Nebbia G, Santos R, Loose M. A framework for real-time monitoring, analysis and adaptive sampling of viral amplicon nanopore sequencing. Front Genet 2023; 14:1138582. [PMID: 37051600 PMCID: PMC10083257 DOI: 10.3389/fgene.2023.1138582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/06/2023] [Indexed: 03/28/2023] Open
Abstract
The ongoing SARS-CoV-2 pandemic demonstrates the utility of real-time sequence analysis in monitoring and surveillance of pathogens. However, cost-effective sequencing requires that samples be PCR amplified and multiplexed via barcoding onto a single flow cell, resulting in challenges with maximising and balancing coverage for each sample. To address this, we developed a real-time analysis pipeline to maximise flow cell performance and optimise sequencing time and costs for any amplicon based sequencing. We extended our nanopore analysis platform MinoTour to incorporate ARTIC network bioinformatics analysis pipelines. MinoTour predicts which samples will reach sufficient coverage for downstream analysis and runs the ARTIC networks Medaka pipeline once sufficient coverage has been reached. We show that stopping a viral sequencing run earlier, at the point that sufficient data has become available, has no negative effect on subsequent down-stream analysis. A separate tool, SwordFish, is used to automate adaptive sampling on Nanopore sequencers during the sequencing run. This enables normalisation of coverage both within (amplicons) and between samples (barcodes) on barcoded sequencing runs. We show that this process enriches under-represented samples and amplicons in a library as well as reducing the time taken to obtain complete genomes without affecting the consensus sequence.
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Affiliation(s)
- Rory Munro
- School of Life Sciences, University of Nottingham, Nottingham, United Kingdom
| | - Nadine Holmes
- DeepSeq, University of Nottingham, Nottingham, United Kingdom
| | | | - Matthew Carlile
- DeepSeq, University of Nottingham, Nottingham, United Kingdom
| | - Alexander Payne
- School of Life Sciences, University of Nottingham, Nottingham, United Kingdom
| | - John R. Tyson
- BCCDC Public Health Laboratory, Vancouver, BC, Canada
| | - Thomas Williams
- Department of Infection, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Christopher Alder
- Department of Infection, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Luke B. Snell
- Department of Infection, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Gaia Nebbia
- Department of Infection, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | | | - Matt Loose
- DeepSeq, University of Nottingham, Nottingham, United Kingdom
- *Correspondence: Matt Loose,
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Gauthier NPG, Chorlton SD, Krajden M, Manges AR. Agnostic Sequencing for Detection of Viral Pathogens. Clin Microbiol Rev 2023; 36:e0011922. [PMID: 36847515 PMCID: PMC10035330 DOI: 10.1128/cmr.00119-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023] Open
Abstract
The advent of next-generation sequencing (NGS) technologies has expanded our ability to detect and analyze microbial genomes and has yielded novel molecular approaches for infectious disease diagnostics. While several targeted multiplex PCR and NGS-based assays have been widely used in public health settings in recent years, these targeted approaches are limited in that they still rely on a priori knowledge of a pathogen's genome, and an untargeted or unknown pathogen will not be detected. Recent public health crises have emphasized the need to prepare for a wide and rapid deployment of an agnostic diagnostic assay at the start of an outbreak to ensure an effective response to emerging viral pathogens. Metagenomic techniques can nonspecifically sequence all detectable nucleic acids in a sample and therefore do not rely on prior knowledge of a pathogen's genome. While this technology has been reviewed for bacterial diagnostics and adopted in research settings for the detection and characterization of viruses, viral metagenomics has yet to be widely deployed as a diagnostic tool in clinical laboratories. In this review, we highlight recent improvements to the performance of metagenomic viral sequencing, the current applications of metagenomic sequencing in clinical laboratories, as well as the challenges that impede the widespread adoption of this technology.
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Affiliation(s)
- Nick P. G. Gauthier
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Mel Krajden
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - Amee R. Manges
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
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Jiang H, Joshi A, Gan T, Janowski AB, Fujii C, Bricker TL, Darling TL, Harastani HH, Seehra K, Chen H, Tahan S, Jung A, Febles B, Blatter JA, Handley SA, Parikh BA, Wang D, Boon ACM. The highly conserved stem-loop II motif is dispensable for SARS-CoV-2. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.15.532878. [PMID: 36993345 PMCID: PMC10055069 DOI: 10.1101/2023.03.15.532878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
The stem-loop II motif (s2m) is a RNA structural element that is found in the 3' untranslated region (UTR) of many RNA viruses including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Though the motif was discovered over twenty-five years ago, its functional significance is unknown. In order to understand the importance of s2m, we created viruses with deletions or mutations of the s2m by reverse genetics and also evaluated a clinical isolate harboring a unique s2m deletion. Deletion or mutation of the s2m had no effect on growth in vitro , or growth and viral fitness in Syrian hamsters in vivo . We also compared the secondary structure of the 3' UTR of wild type and s2m deletion viruses using SHAPE-MaP and DMS-MaPseq. These experiments demonstrate that the s2m forms an independent structure and that its deletion does not alter the overall remaining 3'UTR RNA structure. Together, these findings suggest that s2m is dispensable for SARS-CoV-2. IMPORTANCE RNA viruses, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) contain functional structures to support virus replication, translation and evasion of the host antiviral immune response. The 3' untranslated region of early isolates of SARS-CoV-2 contained a stem-loop II motif (s2m), which is a RNA structural element that is found in many RNA viruses. This motif was discovered over twenty-five years ago, but its functional significance is unknown. We created SARS-CoV-2 with deletions or mutations of the s2m and determined the effect of these changes on viral growth in tissue culture and in rodent models of infection. Deletion or mutation of the s2m element had no effect on growth in vitro , or growth and viral fitness in Syrian hamsters in vivo . We also observed no impact of the deletion on other known RNA structures in the same region of the genome. These experiments demonstrate that the s2m is dispensable for SARS-CoV-2.
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Affiliation(s)
- Hongbing Jiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Astha Joshi
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Tianyu Gan
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Andrew B Janowski
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Chika Fujii
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Traci L Bricker
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Tamarand L Darling
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Houda H. Harastani
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Kuljeet Seehra
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Hongwei Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Stephen Tahan
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ana Jung
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Binita Febles
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Joshua A Blatter
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Scott A Handley
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bijal A Parikh
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - David Wang
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
- Address correspondence to: Adrianus Boon (), Washington University School of Medicine, 660 Euclid Avenue, Campus Box 8051, St Louis MO 63110 USA. or David Wang (), Washington University School of Medicine, 425 S Euclid Avenue, Campus Box 8230, St Louis MO 63110 USA
| | - Adrianus CM Boon
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
- Lead contact
- Address correspondence to: Adrianus Boon (), Washington University School of Medicine, 660 Euclid Avenue, Campus Box 8051, St Louis MO 63110 USA. or David Wang (), Washington University School of Medicine, 425 S Euclid Avenue, Campus Box 8230, St Louis MO 63110 USA
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Unique Genomic Epidemiology of COVID-19 in the White Mountain Apache Tribe, April to August 2020, Arizona. mSphere 2023; 8:e0065922. [PMID: 36853059 PMCID: PMC10117077 DOI: 10.1128/msphere.00659-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023] Open
Abstract
The first case of coronavirus disease 2019 (COVID-19) within the White Mountain Apache Tribe (WMAT) in Arizona was diagnosed almost 1 month after community transmission was recognized in the state. Aggressive contact tracing allowed for robust genomic epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and subsequent phylogenetic analyses implicated only two virus introductions, which resulted in the spread of two unique viral lineages on the reservation. The phylogenies of these lineages reflect the nature of the introductions, the remoteness of the community, and the extraordinarily high attack rates. The timing and space-limited nature of the outbreaks validate the public health tracing efforts involved, which were illustrated by multiple short transmission chains over a period of several weeks, eventually resulting in extinction of the lineages. Comprehensive sampling and successful infection control efforts are illustrated in both the effective population size analyses and the limited mortality outcomes. The rapid spread and high attack rates of the two lineages may be due to a combination of sociological determinants of the WMAT and a seemingly enhanced transmissibility. The SARS-CoV-2 genomic epidemiology of the WMAT demonstrates a unique local history of the pandemic and highlights the extraordinary and successful efforts of their public health response. IMPORTANCE This article discusses the introduction and spread of two unique viral lineages of SARS-CoV-2 within the White Mountain Apache Tribe in Arizona. Both genomic sequencing and traditional epidemiological strategies (e.g., contract tracing) were used to understand the nature of the spread of both lineages. Beyond providing a robust genomic analysis of the epidemiology of the outbreaks, this work also highlights the successful efforts of the local public health response.
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Combined Use of RT-qPCR and NGS for Identification and Surveillance of SARS-CoV-2 Variants of Concern in Residual Clinical Laboratory Samples in Miami-Dade County, Florida. Viruses 2023; 15:v15030593. [PMID: 36992302 PMCID: PMC10059866 DOI: 10.3390/v15030593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/14/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Abstract
Over the course of the COVID-19 pandemic, SARS-CoV-2 variants of concern (VOCs) with increased transmissibility and immune escape capabilities, such as Delta and Omicron, have triggered waves of new COVID-19 infections worldwide, and Omicron subvariants continue to represent a global health concern. Tracking the prevalence and dynamics of VOCs has clinical and epidemiological significance and is essential for modeling the progression and evolution of the COVID-19 pandemic. Next generation sequencing (NGS) is recognized as the gold standard for genomic characterization of SARS-CoV-2 variants, but it is labor and cost intensive and not amenable to rapid lineage identification. Here we describe a two-pronged approach for rapid, cost-effective surveillance of SARS-CoV-2 VOCs by combining reverse-transcriptase quantitative polymerase chain reaction (RT-qPCR) and periodic NGS with the ARTIC sequencing method. Variant surveillance by RT-qPCR included the commercially available TaqPath COVID-19 Combo Kit to track S-gene target failure (SGTF) associated with the spike protein deletion H69-V70, as well as two internally designed and validated RT-qPCR assays targeting two N-terminal-domain (NTD) spike gene deletions, NTD156-7 and NTD25-7. The NTD156-7 RT-qPCR assay facilitated tracking of the Delta variant, while the NTD25-7 RT-qPCR assay was used for tracking Omicron variants, including the BA.2, BA.4, and BA.5 lineages. In silico validation of the NTD156-7 and NTD25-7 primers and probes compared with publicly available SARS-CoV-2 genome databases showed low variability in regions corresponding to oligonucleotide binding sites. Similarly, in vitro validation with NGS-confirmed samples showed excellent correlation. RT-qPCR assays allow for near-real-time monitoring of circulating and emerging variants allowing for ongoing surveillance of variant dynamics in a local population. By performing periodic sequencing of variant surveillance by RT-qPCR methods, we were able to provide ongoing validation of the results obtained by RT-qPCR screening. Rapid SARS-CoV-2 variant identification and surveillance by this combined approach served to inform clinical decisions in a timely manner and permitted better utilization of sequencing resources.
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Hall JS, Hofmeister E, Ip HS, Nashold SW, Leon AE, Malavé CM, Falendysz EA, Rocke TE, Carossino M, Balasuriya U, Knowles S. Experimental Infection of Mexican Free-Tailed Bats ( Tadarida brasiliensis) with SARS-CoV-2. mSphere 2023; 8:e0026322. [PMID: 36598226 PMCID: PMC9942575 DOI: 10.1128/msphere.00263-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 11/10/2022] [Indexed: 01/05/2023] Open
Abstract
The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) virus is thought to have originated in wild bats from Asia, and as the resulting pandemic continues into its third year, concerns have been raised that the virus will expand its host range and infect North American wildlife species, including bats. Mexican free-tailed bats (Tadarida brasiliensis) live in large colonies in the southern United States, often in urban areas and, as such, could be exposed to the virus from infected humans. We experimentally challenged wild T. brasiliensis with SARS-CoV-2 to determine the susceptibility, reservoir potential, and population impacts of infection in this species. Of 10 bats oronasally inoculated with SARS-CoV-2, 5 became infected and orally excreted moderate amounts of virus for up to 18 days postinoculation. These five subjects all seroconverted and cleared the virus before the end of the study with no obvious clinical signs of disease. We additionally found no evidence of viral transmission to uninoculated subjects. These results indicate that while T. brasiliensis are susceptible to SARS-CoV-2 infection, infection of wild populations of T. brasiliensis would not likely cause mortality. However, the transmission of SARS-CoV-2 from T. brasiliensis to or from humans, or to other animal species, is a possibility requiring further investigation to better define. IMPORTANCE As the COVID-19 pandemic has continued for 3+ years, there has been increasing concern that the SARS-CoV-2 virus will enter wildlife populations and potentially create new reservoirs where the virus could adapt to a new host and create variants. This is particularly possible with species that reside in man-made structures, in proximity to infected human populations. Mexican free-tailed bats (Tadarida brasiliensis) live in large colonies, often in urban settings and, thus, can be exposed by infected humans and potentially transmit the virus to new hosts. We experimentally challenged T. brasiliensis with SARS-CoV-2 and revealed that they are susceptible to the virus and excrete moderate amounts for up to 18 days postinoculation. This is important information for wildlife biologists, wildlife rehabilitation workers, and the general public that may contact these animals.
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Affiliation(s)
- J. S. Hall
- U.S. Geological Survey, National Wildlife Health Center, Madison, Wisconsin, USA
| | - E. Hofmeister
- U.S. Geological Survey, National Wildlife Health Center, Madison, Wisconsin, USA
| | - H. S. Ip
- U.S. Geological Survey, National Wildlife Health Center, Madison, Wisconsin, USA
| | - S. W. Nashold
- U.S. Geological Survey, National Wildlife Health Center, Madison, Wisconsin, USA
| | - A. E. Leon
- U.S. Geological Survey, National Wildlife Health Center, Madison, Wisconsin, USA
| | - C. M. Malavé
- U.S. Geological Survey, National Wildlife Health Center, Madison, Wisconsin, USA
| | - E. A. Falendysz
- U.S. Geological Survey, National Wildlife Health Center, Madison, Wisconsin, USA
| | - T. E. Rocke
- U.S. Geological Survey, National Wildlife Health Center, Madison, Wisconsin, USA
| | - M. Carossino
- Louisiana Animal Disease Diagnostic Laboratory, School of Veterinary Health Medicine, Louisiana State University, Baton Rouge, Louisiana, USA
- Department of Pathobiological Sciences, School of Veterinary Health Medicine, Louisiana State University, Baton Rouge, Louisiana, USA
| | - U. Balasuriya
- Louisiana Animal Disease Diagnostic Laboratory, School of Veterinary Health Medicine, Louisiana State University, Baton Rouge, Louisiana, USA
- Department of Pathobiological Sciences, School of Veterinary Health Medicine, Louisiana State University, Baton Rouge, Louisiana, USA
| | - S. Knowles
- U.S. Geological Survey, National Wildlife Health Center, Madison, Wisconsin, USA
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Galán-Huerta KA, Zamora-Márquez MA, Flores-Pérez RO, Bocanegra-Ibarias P, Salas-Treviño D, Rivas-Estilla AMG, Flores-Treviño S, Lozano-Sepúlveda SA, Martínez-Acuña N, Camacho-Ortiz A, Pérez Alba E, Arellanos-Soto D, Nuzzolo-Shihadeh L, Garza-González E. Association of the Interleukin 1B-31*C Proinflammatory Allele with the Severity of COVID-19 Patients: A Preliminary Report. Viral Immunol 2023; 36:241-249. [PMID: 36800236 DOI: 10.1089/vim.2022.0143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023] Open
Abstract
Individuals with no known comorbidities or risk factors may develop severe coronavirus disease 2019 (COVID-19). The present study assessed the effect of certain host polymorphisms and viral lineage on the severity of COVID-19 among hospitalized patients with no known comorbidities in Mexico. The analysis included 117 unrelated hospitalized patients with COVID-19. Patients were stratified by whether they required intensive care unit (ICU) admission: the ICU group (n = 40) and non-ICU group (n = 77). COVID-19 was diagnosed on the basis of a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse transcription-polymerase chain reaction (RT-PCR) assay and clinical and radiographic criteria. The presence of the IL1B-31 (T/C) polymorphism was determined for all patients using PCR and nucleotide sequencing. Genotyping of the IL-4 (-590, T/C) and IL-8 (-251, T/A) polymorphisms was performed by the amplification refractory mutation system-PCR method. Genotyping of IL1-RN was performed using PCR. Viral genome sequencing was performed using the ARTIC Network amplicon sequencing protocol using a MinION. Logistic regression analysis identified the carriage of IL-1 B*-31 *C as an independent potential risk factor (odds ratio [OR] = 3.1736, 95% confidence interval [CI] = 1.0748-9.3705, p = 0.0366) for ICU admission and the presence of IL-RN*2 as a protective factor (OR = 0.4371, 95% CI = 0.1935-0.9871, p = 0.0465) against ICU admission. Under the codominant model, the CC genotype of IL1B-31 significantly increased the risk of ICU admission (OR: 6.38, 95% CI: 11.57-25.86, p < 0.024). The IL1B-31 *C-IL-4-590 *T haplotype increased the risk of ICU admission (OR = 2.53, 95% CI = 1.02-6.25, p = 0.047). The 42 SARS-CoV-2 genomes sequenced belonged to four clades, 20A-20D. No association was detected between SARS-CoV-2 clades and ICU admission or death. Thus, in patients with no known comorbidities or risk factors, the IL1B-31*C proinflammatory allele was observed to be associated with the risk of ICU admission owing to COVID-19.
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Affiliation(s)
- Kame Alberto Galán-Huerta
- Departamento de Bioquímica y Medicina Molecular, Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, México
| | - Myriam Aseret Zamora-Márquez
- Servicio de Infectología, Hospital Universitario "Dr. José Eleuterio González," Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Rómulo Omar Flores-Pérez
- Servicio de Infectología, Hospital Universitario "Dr. José Eleuterio González," Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Paola Bocanegra-Ibarias
- Servicio de Infectología, Hospital Universitario "Dr. José Eleuterio González," Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Daniel Salas-Treviño
- Servicio de Infectología, Hospital Universitario "Dr. José Eleuterio González," Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | | | - Samantha Flores-Treviño
- Servicio de Infectología, Hospital Universitario "Dr. José Eleuterio González," Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Sonia Amelia Lozano-Sepúlveda
- Departamento de Bioquímica y Medicina Molecular, Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, México
| | - Natalia Martínez-Acuña
- Departamento de Bioquímica y Medicina Molecular, Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, México
| | - Adrián Camacho-Ortiz
- Servicio de Infectología, Hospital Universitario "Dr. José Eleuterio González," Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Eduardo Pérez Alba
- Servicio de Infectología, Hospital Universitario "Dr. José Eleuterio González," Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Daniel Arellanos-Soto
- Departamento de Bioquímica y Medicina Molecular, Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, México
| | - Laura Nuzzolo-Shihadeh
- Servicio de Infectología, Hospital Universitario "Dr. José Eleuterio González," Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Elvira Garza-González
- Departamento de Bioquímica y Medicina Molecular, Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, México
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Bosworth A, Robson J, Lawrence B, Casey AL, Fair A, Khanam S, Hudson C, O'Shea MK. Deployment of whole genome next-generation sequencing of SARS-CoV-2 in a military maritime setting. BMJ Mil Health 2023:e002296. [PMID: 36759003 DOI: 10.1136/military-2022-002296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/20/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND SARS-CoV-2 can spread rapidly on maritime platforms. Several outbreaks of SARS-CoV-2 have been reported on warships at sea, where transmission is facilitated by living and working in close quarters. Core components of infection control measures such as social distancing, patient isolation and quarantine of exposed persons are extremely difficult to implement. Whole genome sequencing (WGS) of SARS-CoV-2 has facilitated epidemiological investigations of outbreaks, impacting on outbreak management in real time by identifying transmission patterns, clusters of infection and guiding control measures. We suggest such a capability could mitigate against the impact of SARS-CoV-2 in maritime settings. METHODS We set out to establish SARS-CoV-2 WGS using miniaturised nanopore sequencing technology aboard the Royal Fleet Auxiliary ARGUS while at sea. Objectives included designing a simplified protocol requiring minimal reagents and processing steps, the use of miniaturised equipment compatible for use in limited space, and a streamlined and standalone data analysis capability to allow rapid in situ data acquisition and interpretation. RESULTS Eleven clinical samples with blinded SARS-CoV-2 status were tested at sea. Following viral RNA extraction and ARTIC sequencing library preparation, reverse transcription and ARTIC PCR-tiling were performed. Samples were subsequently barcoded and sequenced using the Oxford Nanopore MinION Mk1B. An offline version of the MinKNOW software was used followed by CLC Genomics Workbench for downstream analysis for variant identification and phylogenetic tree construction. All samples were correctly classified, and relatedness identified. CONCLUSIONS It is feasible to establish a small footprint sequencing capability to conduct SARS-CoV-2 WGS in a military maritime environment at sea with limited access to reach-back support. This proof-of-concept study has highlighted the potential of deploying such technology in the future to military environments, both maritime and land-based, to provide meaningful clinical data to aid outbreak investigations.
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Affiliation(s)
- Andrew Bosworth
- Department of Microbiology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Institute for Immunology and Immunotherapy, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK
| | - J Robson
- Department of Microbiology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Defence Pathology, Royal Centre for Defence Medicine, Birmingham, UK
| | - B Lawrence
- Defence Pathology, Royal Centre for Defence Medicine, Birmingham, UK
- Department of Pathology, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
| | - A L Casey
- Department of Microbiology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - A Fair
- Molecular Pathology Diagnostic Service, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - S Khanam
- Department of Microbiology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - C Hudson
- Department of Microbiology, Frimley Park Hospital, Camberley, UK
| | - M K O'Shea
- Institute for Immunology and Immunotherapy, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK
- Defence Pathology, Royal Centre for Defence Medicine, Birmingham, UK
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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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48
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Wasniewski M, Boué F, Richomme C, Simon-Lorière E, Van der Werf S, Donati F, Enouf V, Blanchard Y, Beven V, Leperchois E, Leterrier B, Corbet S, Le Gouil M, Monchatre-Leroy E, Picard-Meyer E. Investigations on SARS-CoV-2 and other coronaviruses in mink farms in France at the end of the first year of COVID-19 pandemic. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.02.526749. [PMID: 36778275 PMCID: PMC9915642 DOI: 10.1101/2023.02.02.526749] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Soon after the beginning of the COVID-19 pandemic in early 2020, the Betacoronavirus SARS-CoV-2 infection of several mink farms breeding American minks ( Neovison vison ) for fur was detected in several countries of Europe. The risk of a new reservoir formation and of a reverse zoonosis from minks was then a major concern. The aim of this study was to investigate the four French mink farms for the circulation of SARS-CoV-2 at the end of 2020. The investigations took place during the slaughtering period thus facilitating different types of sampling (swabs and blood). In one of the four mink farms, 96.6% of serum samples were positive in SARS-CoV-2 ELISA coated with purified N protein recombinant antigen and 54 out of 162 (33%) pharyngo-tracheal swabs were positive by RT-qPCR. The genetic variability among 12 SARS-CoV-2 genomes sequenced in this farm indicated the co-circulation of several lineages at the time of sampling. All SARS-CoV-2 genomes detected were nested within the 20A clade (Nextclade), together with SARS-CoV-2 genomes from humans sampled at the same period. The percentage of SARS-CoV-2 seropositivity by ELISA varied between 0.5 and 1.2% in the three other farms. Interestingly, among these three farms, 11 pharyngo-tracheal swabs and 3 fecal pools from two farms were positive by end-point RT-PCR for an Alphacoronavirus highly similar to a mink coronavirus sequence observed in Danish farms in 2015. In addition, a mink Caliciviridae was identified in one of the two positive farms for Alphacoronavirus . The clinical impact of these unapparent viral infections is not known. The co-infection of SARS-CoV-2 with other viruses in mink farms could contribute to explain the diversity of clinical symptoms noted in different infected farms in Europe. In addition, the co-circulation of an Alphacoronavirus and SARS-CoV-2 within a mink farm would increase potentially the risk of viral recombination between alpha and betacoronaviruses already suggested in wild and domestic animals, as well as in humans. Author summary France is not a country of major mink fur production. Following the SARS-CoV-2 contamination of mink farms in Denmark and the Netherlands, the question arose for the four French farms.The investigation conducted at the same time in the four farms revealed the contamination of one of them by a variant different from the one circulating at the same time in Denmark and the Netherlands mink farms. Investigation of three other farms free of SARS-CoV-2 contamination revealed the circulation of other viruses including a mink Alphacoronavirus and Caliciviridae , which could modify the symptomatology of SARS-CoV-2 infection in minks.
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Affiliation(s)
- Marine Wasniewski
- Lyssavirus Unit, Nancy Laboratory for Rabies and Wildlife, ANSES, Malzéville, France
| | - Franck Boué
- Wildlife Surveillance and Eco-epidemiology Unit, Nancy Laboratory for Rabies and Wildlife, ANSES, Malzéville, France
| | - Céline Richomme
- Wildlife Surveillance and Eco-epidemiology Unit, Nancy Laboratory for Rabies and Wildlife, ANSES, Malzéville, France
| | - Etienne Simon-Lorière
- G5 Evolutionary Genomics of RNA Viruses, Université Paris Cité, Institut Pasteur, Paris, France
| | - Sylvie Van der Werf
- Molecular Genetics of RNA Viruses, CNRS UMR 3569, Université Paris Cité, Institut Pasteur, Paris, France
- National Reference Center for Respiratory viruses, Université Paris Cité, Institut Pasteur, Paris, France
| | - Flora Donati
- Molecular Genetics of RNA Viruses, CNRS UMR 3569, Université Paris Cité, Institut Pasteur, Paris, France
- National Reference Center for Respiratory viruses, Université Paris Cité, Institut Pasteur, Paris, France
| | - Vincent Enouf
- Molecular Genetics of RNA Viruses, CNRS UMR 3569, Université Paris Cité, Institut Pasteur, Paris, France
- National Reference Center for Respiratory viruses, Université Paris Cité, Institut Pasteur, Paris, France
- Mutualized Platform of Microbiology, Pasteur International Bioresources Network, Université Paris Cité, Institut Pasteur, Paris, France
| | - Yannick Blanchard
- Unit of Viral Genetics and Biosafety, Ploufragan-Plouzané-Niort Laboratory, ANSES, Ploufragan, France
| | - Véronique Beven
- Unit of Viral Genetics and Biosafety, Ploufragan-Plouzané-Niort Laboratory, ANSES, Ploufragan, France
| | - Estelle Leperchois
- INSERM U1311 DynaMicURe, UNICAEN, UNIROUEN, Normandie University, Caen, France
- Virology Department, Caen University Hospital, Caen, France
| | - Bryce Leterrier
- INSERM U1311 DynaMicURe, UNICAEN, UNIROUEN, Normandie University, Caen, France
- Virology Department, Caen University Hospital, Caen, France
| | | | - Meriadeg Le Gouil
- INSERM U1311 DynaMicURe, UNICAEN, UNIROUEN, Normandie University, Caen, France
- Virology Department, Caen University Hospital, Caen, France
| | | | - Evelyne Picard-Meyer
- Lyssavirus Unit, Nancy Laboratory for Rabies and Wildlife, ANSES, Malzéville, France
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49
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Hossain M, Bin Manjur OH, Hasda L, Habib MT, Afrad MH, Khan MH, Banik N, Afreen N, Alam AN, Ayub MI, Rahman MZ, Rahman M, Khanam F, Banu S, Thomson NR, Shirin T, Qadri F. Genome Sequences of 23 SARS-CoV-2 Omicron-Lineage Strains from Bangladesh. Microbiol Resour Announc 2023; 12:e0095022. [PMID: 36472422 PMCID: PMC9872676 DOI: 10.1128/mra.00950-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 11/13/2022] [Indexed: 12/12/2022] Open
Abstract
We announce the coding-complete genome sequences of 23 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron strains obtained from Bangladeshi individuals. The Oxford Nanopore Technologies sequencing platform was utilized to generate the genomic data, deploying ARTIC Network-based amplicon sequencing.
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Affiliation(s)
- Mohabbat Hossain
- Institute for Developing Science and Health Initiatives, Dhaka, Bangladesh
| | | | - Lincon Hasda
- Institute for Developing Science and Health Initiatives, Dhaka, Bangladesh
| | | | | | | | - Nandita Banik
- Institute of Epidemiology, Disease Control, and Research, Dhaka, Bangladesh
| | - Nawroz Afreen
- Institute of Epidemiology, Disease Control, and Research, Dhaka, Bangladesh
| | - Ahmed Nawsher Alam
- Institute of Epidemiology, Disease Control, and Research, Dhaka, Bangladesh
| | - Mustak Ibn Ayub
- Department of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka, Bangladesh
| | | | - Mustafizur Rahman
- International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Farhana Khanam
- International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Sayera Banu
- International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Nicholas R. Thomson
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, United Kingdom
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Tahmina Shirin
- Institute of Epidemiology, Disease Control, and Research, Dhaka, Bangladesh
| | - Firdausi Qadri
- Institute for Developing Science and Health Initiatives, Dhaka, Bangladesh
- International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
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50
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Chen NF, Chaguza C, Gagne L, Doucette M, Smole S, Buzby E, Hall J, Ash S, Harrington R, Cofsky S, Clancy S, Kapsak CJ, Sevinsky J, Libuit K, Park DJ, Hemarajata P, Garrigues JM, Green NM, Sierra-Patev S, Carpenter-Azevedo K, Huard RC, Pearson C, Incekara K, Nishimura C, Huang JP, Gagnon E, Reever E, Razeq J, Muyombwe A, Borges V, Ferreira R, Sobral D, Duarte S, Santos D, Vieira L, Gomes JP, Aquino C, Savino IM, Felton K, Bajwa M, Hayward N, Miller H, Naumann A, Allman R, Greer N, Fall A, Mostafa HH, McHugh MP, Maloney DM, Dewar R, Kenicer J, Parker A, Mathers K, Wild J, Cotton S, Templeton KE, Churchwell G, Lee PA, Pedrosa M, McGruder B, Schmedes S, Plumb MR, Wang X, Barcellos RB, Godinho FM, Salvato RS, Ceniseros A, Breban MI, Grubaugh ND, Gallagher GR, Vogels CB. Development of an amplicon-based sequencing approach in response to the global emergence of human monkeypox virus. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2022.10.14.22280783. [PMID: 36299420 PMCID: PMC9603838 DOI: 10.1101/2022.10.14.22280783] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The 2022 multi-country monkeypox (mpox) outbreak concurrent with the ongoing COVID-19 pandemic has further highlighted the need for genomic surveillance and rapid pathogen whole genome sequencing. While metagenomic sequencing approaches have been used to sequence many of the early mpox infections, these methods are resource intensive and require samples with high viral DNA concentrations. Given the atypical clinical presentation of cases associated with the outbreak and uncertainty regarding viral load across both the course of infection and anatomical body sites, there was an urgent need for a more sensitive and broadly applicable sequencing approach. Highly multiplexed amplicon-based sequencing (PrimalSeq) was initially developed for sequencing of Zika virus, and later adapted as the main sequencing approach for SARS-CoV-2. Here, we used PrimalScheme to develop a primer scheme for human monkeypox virus that can be used with many sequencing and bioinformatics pipelines implemented in public health laboratories during the COVID-19 pandemic. We sequenced clinical samples that tested presumptive positive for human monkeypox virus with amplicon-based and metagenomic sequencing approaches. We found notably higher genome coverage across the virus genome, with minimal amplicon drop-outs, in using the amplicon-based sequencing approach, particularly in higher PCR cycle threshold (lower DNA titer) samples. Further testing demonstrated that Ct value correlated with the number of sequencing reads and influenced the percent genome coverage. To maximize genome coverage when resources are limited, we recommend selecting samples with a PCR cycle threshold below 31 Ct and generating 1 million sequencing reads per sample. To support national and international public health genomic surveillance efforts, we sent out primer pool aliquots to 10 laboratories across the United States, United Kingdom, Brazil, and Portugal. These public health laboratories successfully implemented the human monkeypox virus primer scheme in various amplicon sequencing workflows and with different sample types across a range of Ct values. Thus, we show that amplicon based sequencing can provide a rapidly deployable, cost-effective, and flexible approach to pathogen whole genome sequencing in response to newly emerging pathogens. Importantly, through the implementation of our primer scheme into existing SARS-CoV-2 workflows and across a range of sample types and sequencing platforms, we further demonstrate the potential of this approach for rapid outbreak response.
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Affiliation(s)
- Nicholas F.G. Chen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Chrispin Chaguza
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Luc Gagne
- Massachusetts Department of Public Health, Boston, MA, USA
| | | | - Sandra Smole
- Massachusetts Department of Public Health, Boston, MA, USA
| | - Erika Buzby
- Massachusetts Department of Public Health, Boston, MA, USA
| | - Joshua Hall
- Massachusetts Department of Public Health, Boston, MA, USA
| | - Stephanie Ash
- Massachusetts Department of Public Health, Boston, MA, USA
| | | | - Seana Cofsky
- Massachusetts Department of Public Health, Boston, MA, USA
| | - Selina Clancy
- Massachusetts Department of Public Health, Boston, MA, USA
| | | | | | | | | | | | | | - Nicole M. Green
- Los Angeles County Public Health Laboratories, Downey, CA, USA
| | - Sean Sierra-Patev
- Rhode Island Department of Health, Rhode Island State Health Laboratory, Providence, RI, USA
| | | | - Richard C. Huard
- Rhode Island Department of Health, Rhode Island State Health Laboratory, Providence, RI, USA
| | - Claire Pearson
- Connecticut Department of Public Health, Rocky Hill, CT, USA
| | | | | | - Jian Ping Huang
- Connecticut Department of Public Health, Rocky Hill, CT, USA
| | - Emily Gagnon
- Connecticut Department of Public Health, Rocky Hill, CT, USA
| | - Ethan Reever
- Connecticut Department of Public Health, Rocky Hill, CT, USA
| | - Jafar Razeq
- Connecticut Department of Public Health, Rocky Hill, CT, USA
| | | | - Vítor Borges
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Rita Ferreira
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Daniel Sobral
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Silvia Duarte
- Technology and Innovation Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Daniela Santos
- Technology and Innovation Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Luís Vieira
- Technology and Innovation Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - João Paulo Gomes
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal,Faculty of Veterinary Medicine, Lusófona University, Lisbon, Portugal
| | - Carly Aquino
- Delaware Public Health Laboratory, Smyrna, DE, USA
| | | | | | - Moneeb Bajwa
- Delaware Public Health Laboratory, Smyrna, DE, USA
| | | | - Holly Miller
- Delaware Public Health Laboratory, Smyrna, DE, USA
| | | | - Ria Allman
- Delaware Public Health Laboratory, Smyrna, DE, USA
| | - Neel Greer
- Delaware Public Health Laboratory, Smyrna, DE, USA
| | - Amary Fall
- Johns Hopkins School of Medicine, Baltimore, MD, USA
| | | | - Martin P. McHugh
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK,School of Medicine, University of St Andrews, St Andrews, UK
| | - Daniel M. Maloney
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK,Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK
| | - Rebecca Dewar
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Juliet Kenicer
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Abby Parker
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Katharine Mathers
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Jonathan Wild
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Seb Cotton
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Kate E. Templeton
- Viral Genotyping Reference Laboratory Edinburgh, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - George Churchwell
- Florida Department of Health, Bureau of Public Health Laboratories, Jacksonville, FL, USA
| | - Philip A. Lee
- Florida Department of Health, Bureau of Public Health Laboratories, Jacksonville, FL, USA
| | - Maria Pedrosa
- Florida Department of Health, Bureau of Public Health Laboratories, Jacksonville, FL, USA
| | - Brenna McGruder
- Florida Department of Health, Bureau of Public Health Laboratories, Jacksonville, FL, USA
| | - Sarah Schmedes
- Florida Department of Health, Bureau of Public Health Laboratories, Jacksonville, FL, USA
| | - Matthew R. Plumb
- Minnesota Department of Health, Public Health Laboratory, St. Paul, MN, USA
| | - Xiong Wang
- Minnesota Department of Health, Public Health Laboratory, St. Paul, MN, USA
| | - Regina Bones Barcellos
- Centro Estadual de Vigilância em Saúde, Secretaria Estadual da Saúde do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Fernanda M.S. Godinho
- Centro Estadual de Vigilância em Saúde, Secretaria Estadual da Saúde do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Richard Steiner Salvato
- Centro Estadual de Vigilância em Saúde, Secretaria Estadual da Saúde do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Mallery I. Breban
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Nathan D. Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA,Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
| | - Glen R. Gallagher
- Massachusetts Department of Public Health, Boston, MA, USA,Rhode Island Department of Health, Rhode Island State Health Laboratory, Providence, RI, USA
| | - Chantal B.F. Vogels
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
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