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Arana C, Liang C, Brock M, Zhang B, Zhou J, Chen L, Cantarel B, SoRelle J, Hooper LV, Raj P. A short plus long-amplicon based sequencing approach improves genomic coverage and variant detection in the SARS-CoV-2 genome. PLoS One 2022; 17:e0261014. [PMID: 35025877 PMCID: PMC8757904 DOI: 10.1371/journal.pone.0261014] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 11/22/2021] [Indexed: 12/01/2022] Open
Abstract
High viral transmission in the COVID-19 pandemic has enabled SARS-CoV-2 to acquire new mutations that may impact genome sequencing methods. The ARTIC.v3 primer pool that amplifies short amplicons in a multiplex-PCR reaction is one of the most widely used methods for sequencing the SARS-CoV-2 genome. We observed that some genomic intervals are poorly captured with ARTIC primers. To improve the genomic coverage and variant detection across these intervals, we designed long amplicon primers and evaluated the performance of a short (ARTIC) plus long amplicon (MRL) sequencing approach. Sequencing assays were optimized on VR-1986D-ATCC RNA followed by sequencing of nasopharyngeal swab specimens from fifteen COVID-19 positive patients. ARTIC data covered 94.47% of the virus genome fraction in the positive control and patient samples. Variant analysis in the ARTIC data detected 217 mutations, including 209 single nucleotide variants (SNVs) and eight insertions & deletions. On the other hand, long-amplicon data detected 156 mutations, of which 80% were concordant with ARTIC data. Combined analysis of ARTIC + MRL data improved the genomic coverage to 97.03% and identified 214 high confidence mutations. The combined final set of 214 mutations included 203 SNVs, 8 deletions and 3 insertions. Analysis showed 26 SARS-CoV-2 lineage defining mutations including 4 known variants of concern K417N, E484K, N501Y, P618H in spike gene. Hybrid analysis identified 7 nonsynonymous and 5 synonymous mutations across the genome that were either ambiguous or not called in ARTIC data. For example, G172V mutation in the ORF3a protein and A2A mutation in Membrane protein were missed by the ARTIC assay. Thus, we show that while the short amplicon (ARTIC) assay provides good genomic coverage with high throughput, complementation of poorly captured intervals with long amplicon data can significantly improve SARS-CoV-2 genomic coverage and variant detection.
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Affiliation(s)
- Carlos Arana
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
- Microbiome and Genomics core, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Chaoying Liang
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
- Microbiome and Genomics core, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Matthew Brock
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
- Microbiome and Genomics core, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Bo Zhang
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Jinchun Zhou
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
- Microbiome and Genomics core, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Li Chen
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Brandi Cantarel
- Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Jeffrey SoRelle
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Lora V. Hooper
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
- Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Prithvi Raj
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
- Microbiome and Genomics core, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
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Tsang HF, Yu ACS, Wong HT, Leung WMS, Chiou J, Wong YKE, Yim AKY, Tsang DNC, Tsang AK, Wong WT, Wong SCC, Cho WCS. Whole genome amplicon sequencing and phylogenetic analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from lineage B.1.36.27 isolated in Hong Kong. Expert Rev Mol Diagn 2022; 22:119-124. [PMID: 34878349 DOI: 10.1080/14737159.2022.2015330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 12/03/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND The import of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage B.1.36.27 has sparked the fourth wave of COVID-19 outbreak in Hong Kong. This strain has been circulating in Hong Kong since September 2020 but rarely found in other countries (<1%). RESEARCH DESIGN AND METHODS A total of 14 SARS-CoV-2 genome sequences collected from patients in Hong Kong between July 2020 and March 2021 were determined by whole viral genome sequencing using Illumina next-generation sequencing platform, followed by phylogenetic analysis. RESULTS Of the 14 SARS-CoV-2 genome sequences analyzed, 9 strains belonged to the PANGO lineage B.1.36.27, GISAID clade GH, and Nextclade clade 20A. Compared to the reference genome, 31 nucleotide differences and 11 amino acid differences were identified in the genome of the SARS-CoV-2 from PANGO lineage B.1.36.27. CONCLUSIONS We reported the nucleotides and amino acids mutations identified in the SARS-CoV-2 from PANGO lineage B.1.36.27. Our viral genome sequences enriched the understanding of SARS-CoV-2 mutational landscape and improved the repertoire of known SARS-CoV-2 variants for tracking and tracing. From this study, we found no evidence to show that SARS-CoV-2 from lineage B.1.36.27 can compromise existing vaccines and antibody therapies.
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Affiliation(s)
- Hin Fung Tsang
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong Special Administrative Region, China
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | | | - Heong Ting Wong
- Department of Pathology, Kiang Wu Hospital, Macau Special Administrative Region, China
| | - Wai Ming Stanley Leung
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong Special Administrative Region, China
| | - Jiachi Chiou
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | | | - Dominic Ngai Chong Tsang
- Microbiology Division, Public Health Laboratory Services Branch, Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Alan Kl Tsang
- Microbiology Division, Public Health Laboratory Services Branch, Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Wing Tak Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Sze Chuen Cesar Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - William Chi Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
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53
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Martínez-Puchol S, Itarte M, Rusiñol M, Forés E, Mejías-Molina C, Andrés C, Antón A, Quer J, Abril JF, Girones R, Bofill-Mas S. Exploring the diversity of coronavirus in sewage during COVID-19 pandemic: Don't miss the forest for the trees. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 800:149562. [PMID: 34391155 PMCID: PMC8349739 DOI: 10.1016/j.scitotenv.2021.149562] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 08/05/2021] [Accepted: 08/06/2021] [Indexed: 05/07/2023]
Abstract
In the wake of the COVID-19 pandemic, the use of next generation sequencing (NGS) has proved to be an important tool for the genetic characterization of SARS-CoV-2 from clinical samples. The use of different available NGS tools applied to wastewater samples could be the key for an in-depth study of the excreted virome, not only focusing on SARS-CoV-2 circulation and typing, but also to detect other potentially pandemic viruses within the same family. With this aim, 24-hours composite wastewater samples from March and July 2020 were sequenced by applying specific viral NGS as well as target enrichment NGS. The full virome of the analyzed samples was obtained, with human Coronaviridae members (CoV) present in one of those samples after applying the enrichment. One contig was identified as HCoV-OC43 and 8 contigs as SARS-CoV-2. CoVs from other animal hosts were also detected when applying this technique. These contigs were compared with those obtained from contemporary clinical specimens by applying the same target enrichment approach. The results showed that there is a co-circulation in urban areas of human and animal coronaviruses infecting domestic animals and rodents. NGS enrichment-based protocols might be crucial to describe the occurrence and genetic characteristics of SARS-CoV-2 and other Coronaviridae family members within the excreted virome present in wastewater.
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Affiliation(s)
- Sandra Martínez-Puchol
- Laboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Dept., Universitat de Barcelona. Barcelona, Catalonia, Spain; The Water Research Institute (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain.
| | - Marta Itarte
- Laboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Dept., Universitat de Barcelona. Barcelona, Catalonia, Spain; The Water Research Institute (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Marta Rusiñol
- Institute of Environmental Assessment & Water Research (IDAEA), CSIC, Barcelona, Catalonia, Spain
| | - Eva Forés
- Laboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Dept., Universitat de Barcelona. Barcelona, Catalonia, Spain; The Water Research Institute (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Cristina Mejías-Molina
- Laboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Dept., Universitat de Barcelona. Barcelona, Catalonia, Spain
| | - Cristina Andrés
- Respiratory Viruses Unit, Virology Section, Microbiology Department, Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Andrés Antón
- Respiratory Viruses Unit, Virology Section, Microbiology Department, Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Josep Quer
- Liver Unit, Liver Diseases - Viral Hepatitis, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Josep F Abril
- Computational Genomics Lab, Genetics, Microbiology & Statistics Dept., Universitat de Barcelona; Institut de Biomedicina (IBUB), Barcelona, Catalonia, Spain
| | - Rosina Girones
- Laboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Dept., Universitat de Barcelona. Barcelona, Catalonia, Spain; The Water Research Institute (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Sílvia Bofill-Mas
- Laboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Dept., Universitat de Barcelona. Barcelona, Catalonia, Spain; The Water Research Institute (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain
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54
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SARS-CoV-2 and Variant Diagnostic Testing Approaches in the United States. Viruses 2021; 13:v13122492. [PMID: 34960762 PMCID: PMC8703625 DOI: 10.3390/v13122492] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 11/29/2021] [Accepted: 12/08/2021] [Indexed: 12/23/2022] Open
Abstract
Purpose of Review Given the rapid development of diagnostic approaches to test for and diagnose infection with SARS-CoV-2 and its associated variants including Omicron (B.1.1.529), many options are available to diagnose infection. Multiple established diagnostic companies are now providing testing platforms whereas initially, testing was being performed with simple PCR-based tests using standard laboratory reagents. Recent Findings Additional testing platforms continue to be developed, including those to detect specific variants, but challenges with testing, including obtaining testing reagents and other related supplies, are frequently encountered. With time, the testing supply chain has improved, and more established companies are providing materials to support these testing efforts. In the United States (U.S.), the need for rapid assay development and subsequent approval through the attainment of emergency use authorization (EUA) has superseded the traditional arduous diagnostic testing approval workflow mandated by the FDA. Through these efforts, the U.S. has been able to continue to significantly increase its testing capabilities to address this pandemic; however, challenges still remain due to the diversity of the performance characteristics of tests being utilized and newly discovered viral variants. Summary This review provides an overview of the current diagnostic testing landscape, with pertinent information related to SARS-CoV-2 virology, variants and antibody responses that are available to diagnose infection in the U.S.
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Ortuño FM, Loucera C, Casimiro-Soriguer CS, Lepe JA, Camacho Martinez P, Merino Diaz L, de Salazar A, Chueca N, García F, Perez-Florido J, Dopazo J. Highly accurate whole-genome imputation of SARS-CoV-2 from partial or low-quality sequences. Gigascience 2021; 10:giab078. [PMID: 34865008 PMCID: PMC8643610 DOI: 10.1093/gigascience/giab078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 10/26/2021] [Accepted: 11/12/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The current SARS-CoV-2 pandemic has emphasized the utility of viral whole-genome sequencing in the surveillance and control of the pathogen. An unprecedented ongoing global initiative is producing hundreds of thousands of sequences worldwide. However, the complex circumstances in which viruses are sequenced, along with the demand of urgent results, causes a high rate of incomplete and, therefore, useless sequences. Viral sequences evolve in the context of a complex phylogeny and different positions along the genome are in linkage disequilibrium. Therefore, an imputation method would be able to predict missing positions from the available sequencing data. RESULTS We have developed the impuSARS application, which takes advantage of the enormous number of SARS-CoV-2 genomes available, using a reference panel containing 239,301 sequences, to produce missing data imputation in viral genomes. ImpuSARS was tested in a wide range of conditions (continuous fragments, amplicons or sparse individual positions missing), showing great fidelity when reconstructing the original sequences, recovering the lineage with a 100% precision for almost all the lineages, even in very poorly covered genomes (<20%). CONCLUSIONS Imputation can improve the pace of SARS-CoV-2 sequencing production by recovering many incomplete or low-quality sequences that would be otherwise discarded. ImpuSARS can be incorporated in any primary data processing pipeline for SARS-CoV-2 whole-genome sequencing.
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Affiliation(s)
- Francisco M Ortuño
- Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), CDCA, Hospital Virgen del Rocio, 41013 Sevilla, Spain
- Computational Systems Medicine, Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocio, 41013 Sevilla, Spain
| | - Carlos Loucera
- Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), CDCA, Hospital Virgen del Rocio, 41013 Sevilla, Spain
- Computational Systems Medicine, Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocio, 41013 Sevilla, Spain
| | - Carlos S Casimiro-Soriguer
- Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), CDCA, Hospital Virgen del Rocio, 41013 Sevilla, Spain
- Computational Systems Medicine, Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocio, 41013 Sevilla, Spain
| | - Jose A Lepe
- Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del Rocío, 41013 Sevilla, Spain
| | - Pedro Camacho Martinez
- Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del Rocío, 41013 Sevilla, Spain
| | - Laura Merino Diaz
- Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del Rocío, 41013 Sevilla, Spain
| | - Adolfo de Salazar
- Servicio de Microbiología, Hospital Universitario San Cecilio, 18016 Granada, Spain
| | - Natalia Chueca
- Servicio de Microbiología, Hospital Universitario San Cecilio, 18016 Granada, Spain
| | - Federico García
- Servicio de Microbiología, Hospital Universitario San Cecilio, 18016 Granada, Spain
| | - Javier Perez-Florido
- Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), CDCA, Hospital Virgen del Rocio, 41013 Sevilla, Spain
- Computational Systems Medicine, Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocio, 41013 Sevilla, Spain
| | - Joaquin Dopazo
- Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), CDCA, Hospital Virgen del Rocio, 41013 Sevilla, Spain
- Computational Systems Medicine, Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocio, 41013 Sevilla, Spain
- FPS/ELIXIR-es, Hospital Virgen del Rocío, Sevilla 42013, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Hospital Universitario San Cecilio, 18016 Granada, Spain
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Kotwa JD, Jamal AJ, Mbareche H, Yip L, Aftanas P, Barati S, Bell NG, Bryce E, Coomes E, Crowl G, Duchaine C, Faheem A, Farooqi L, Hiebert R, Katz K, Khan S, Kozak R, Li AX, Mistry HP, Mozafarihashjin M, Nasir JA, Nirmalarajah K, Panousis EM, Paterson A, Plenderleith S, Powis J, Prost K, Schryer R, Taylor M, Veillette M, Wong T, Zhong XZ, Mc Arthur AG, Mc Geer AJ, Mubareka S. Surface and air contamination with SARS-CoV-2 from hospitalized COVID-19 patients in Toronto, Canada, March-May 2020. J Infect Dis 2021; 225:768-776. [PMID: 34850051 PMCID: PMC8767887 DOI: 10.1093/infdis/jiab578] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 11/24/2021] [Indexed: 01/12/2023] Open
Abstract
Background We determined the burden of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in air and on surfaces in rooms of patients hospitalized with coronavirus disease 2019 (COVID-19) and investigated patient characteristics associated with SARS-CoV-2 environmental contamination. Methods Nasopharyngeal swabs, surface, and air samples were collected from the rooms of 78 inpatients with COVID-19 at 6 acute care hospitals in Toronto from March to May 2020. Samples were tested for SARS-CoV-2 ribonucleic acid (RNA), cultured to determine potential infectivity, and whole viral genomes were sequenced. Association between patient factors and detection of SARS-CoV-2 RNA in surface samples were investigated. Results Severe acute respiratory syndrome coronavirus 2 RNA was detected from surfaces (125 of 474 samples; 42 of 78 patients) and air (3 of 146 samples; 3 of 45 patients); 17% (6 of 36) of surface samples from 3 patients yielded viable virus. Viral sequences from nasopharyngeal and surface samples clustered by patient. Multivariable analysis indicated hypoxia at admission, polymerase chain reaction-positive nasopharyngeal swab (cycle threshold of ≤30) on or after surface sampling date, higher Charlson comorbidity score, and shorter time from onset of illness to sampling date were significantly associated with detection of SARS-CoV-2 RNA in surface samples. Conclusions The infrequent recovery of infectious SARS-CoV-2 virus from the environment suggests that the risk to healthcare workers from air and near-patient surfaces in acute care hospital wards is likely limited.
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Affiliation(s)
| | | | | | - Lily Yip
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | | | | | | | - Elizabeth Bryce
- Division of Medical Microbiology and Infection Prevention, Vancouver Coastal Health, Vancouver, British Colombia, Canada.,Department of Pathology and Laboratory Medicine, Vancouver General Hospital, Vancouver, British Colombia, Canada
| | - Eric Coomes
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Caroline Duchaine
- Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université de Laval, Québec City, Québec, Canada.,Départment de Biochimie, de Microbiologie et de Bio-Informatique, Faculté des Sciences et de Génie, Université de Laval, Québec City, Québec, Canada
| | - Amna Faheem
- Sinai Health System, Toronto, Ontario, Canada
| | | | - Ryan Hiebert
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Kevin Katz
- North York General Hospital, Toronto, Ontario, Canada
| | - Saman Khan
- Sinai Health System, Toronto, Ontario, Canada
| | - Robert Kozak
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Angel X Li
- Sinai Health System, Toronto, Ontario, Canada
| | | | | | - Jalees A Nasir
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.,Department of Biochemistry and Biomedical Science, McMaster University, Hamilton, Ontario, Canada
| | | | - Emily M Panousis
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.,Department of Biochemistry and Biomedical Science, McMaster University, Hamilton, Ontario, Canada
| | | | | | - Jeff Powis
- Michael Garron Hospital, Toronto, Ontario, Canada
| | - Karren Prost
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Renée Schryer
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | | | - Marc Veillette
- Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université de Laval, Québec City, Québec, Canada
| | - Titus Wong
- Division of Medical Microbiology and Infection Prevention, Vancouver Coastal Health, Vancouver, British Colombia, Canada.,Department of Pathology and Laboratory Medicine, Vancouver General Hospital, Vancouver, British Colombia, Canada
| | | | - Andrew G Mc Arthur
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.,Department of Biochemistry and Biomedical Science, McMaster University, Hamilton, Ontario, Canada
| | - Allison J Mc Geer
- Sinai Health System, Toronto, Ontario, Canada.,Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Samira Mubareka
- Sunnybrook Research Institute, Toronto, Ontario, Canada.,Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
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Clinical and Infection Prevention Applications of SARS-CoV-2 Genotyping: an IDSA/ASM Consensus Review Document. J Clin Microbiol 2021; 60:e0165921. [PMID: 34731022 PMCID: PMC8769737 DOI: 10.1128/jcm.01659-21] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged into a world of maturing pathogen genomics, with more than 2 million genomes sequenced at the time of writing. The rise of more transmissible variants of concern that impact vaccine and therapeutic effectiveness has led to widespread interest in SARS-CoV-2 evolution. Clinicians are also eager to take advantage of the information provided by SARS-CoV-2 genotyping beyond surveillance purposes. Here, we review the potential role of SARS-CoV-2 genotyping in clinical care. The review covers clinical use cases for SARS-CoV-2 genotyping, methods of SARS-CoV-2 genotyping, assay validation and regulatory requirements, and clinical reporting for laboratories, as well as emerging issues in clinical SARS-CoV-2 sequencing. While clinical uses of SARS-CoV-2 genotyping are currently limited, rapid technological change along with a growing ability to interpret variants in real time foretells a growing role for SARS-CoV-2 genotyping in clinical care as continuing data emerge on vaccine and therapeutic efficacy.
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58
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Greninger AL, Dien Bard J, Colgrove RC, Graf EH, Hanson KE, Hayden MK, Humphries RM, Lowe CF, Miller MB, Pillai DR, Rhoads DD, Yao JD, Lee FM. Clinical and Infection Prevention Applications of SARS-CoV-2 Genotyping: An IDSA/ASM Consensus Review Document. Clin Infect Dis 2021; 74:1496-1502. [PMID: 34731234 PMCID: PMC8689887 DOI: 10.1093/cid/ciab761] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Indexed: 11/12/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged into a world of maturing pathogen genomics, with >2 million genomes sequenced at this writing. The rise of more transmissible variants of concern that affect vaccine and therapeutic effectiveness has led to widespread interest in SARS-CoV-2 evolution. Clinicians are also eager to take advantage of the information provided by SARS-CoV-2 genotyping beyond surveillance purposes. Here, we review the potential role of SARS-CoV-2 genotyping in clinical care. The review covers clinical use cases for SARS-CoV-2 genotyping, methods of SARS-CoV-2 genotyping, assay validation and regulatory requirements, clinical reporting for laboratories, and emerging issues in clinical SARS-CoV-2 sequencing. While clinical uses of SARS-CoV-2 genotyping are currently limited, rapid technological change along with a growing ability to interpret variants in real time foretell a growing role for SARS-CoV-2 genotyping in clinical care as continuing data emerge on vaccine and therapeutic efficacy.
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Affiliation(s)
- Alexander L Greninger
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Jennifer Dien Bard
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA, USA; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Robert C Colgrove
- Division of Infectious Diseases, Mount Auburn Hospital, Harvard School of Medicine
| | - Erin H Graf
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, USA
| | - Kimberly E Hanson
- Department of Internal Medicine and Pathology, University of Utah, Salt Lake City, UT, USA
| | - Mary K Hayden
- Division of Infectious Diseases, Department of Medicine and Division of Laboratory Medicine, Department of Pathology, Rush University Medical Center, Chicago, Illinois, USA
| | - Romney M Humphries
- Division of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christopher F Lowe
- Division of Medical Microbiology and Virology, Providence Health Care, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Melissa B Miller
- Clinical Microbiology Laboratory, University of North Carolina Hospitals and Department of Pathology and Laboratory Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Dylan R Pillai
- Department of Pathology and Laboratory Medicine and Microbiology & Infectious Diseases, University of Calgary, Alberta, Canada
| | - Daniel D Rhoads
- Department of Laboratory Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Joseph D Yao
- Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology, College of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Francesca M Lee
- Division of Infectious Diseases and Geographic Medicine, Department of Pathology and Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
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59
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Zhan SH, Alamouti SM, Daneshpajouh H, Kwok BS, Lee MH, Khattra J, Houck HJ, Rand KH. Target capture sequencing of SARS-CoV-2 genomes using the ONETest Coronaviruses Plus. Diagn Microbiol Infect Dis 2021; 101:115508. [PMID: 34391075 PMCID: PMC8299291 DOI: 10.1016/j.diagmicrobio.2021.115508] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 07/03/2021] [Accepted: 07/17/2021] [Indexed: 12/01/2022]
Abstract
We introduce a target capture next-generation sequencing methodology, the ONETest Coronaviruses Plus, to sequence the SARS-CoV-2 genome and select loci of other respiratory viruses. We applied the ONETest on 70 respiratory samples (collected in Florida, USA between May and July, 2020), in which SARS-CoV-2 had been detected by a PCR assay. For 48 of the samples, we also applied the ARTIC protocol. Of the 70 ONETest libraries, 45 (64%) had a (near-)complete sequence (>29,000 bases and >90% covered by >9 reads). Of the 48 ARTIC libraries, 25 (52%) had a (near-)complete sequence. In 19 out of 25 (76%) samples in which both the ONETest and ARTIC yielded (near-)complete sequences, the lineages assigned were identical. As a target capture approach, the ONETest is less prone to loss of sequence coverage than amplicon approaches, and thus can provide complete genomic information more often to track and monitor SARS-CoV-2 variants.
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Affiliation(s)
- Shing H Zhan
- Fusion Genomics Corporation, Burnaby, British Columbia, Canada.
| | | | | | - Brian S Kwok
- Fusion Genomics Corporation, Burnaby, British Columbia, Canada
| | - Meng-Hsun Lee
- Fusion Genomics Corporation, Burnaby, British Columbia, Canada
| | | | - Herbert J Houck
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Kenneth H Rand
- Department of Pathology, Immunology, and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, USA
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Brejová B, Boršová K, Hodorová V, Čabanová V, Gafurov A, Fričová D, Neboháčová M, Vinař T, Klempa B, Nosek J. Nanopore sequencing of SARS-CoV-2: Comparison of short and long PCR-tiling amplicon protocols. PLoS One 2021; 16:e0259277. [PMID: 34714886 PMCID: PMC8555800 DOI: 10.1371/journal.pone.0259277] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 10/15/2021] [Indexed: 11/18/2022] Open
Abstract
Surveillance of the SARS-CoV-2 variants including the quickly spreading mutants by rapid and near real-time sequencing of the viral genome provides an important tool for effective health policy decision making in the ongoing COVID-19 pandemic. Here we evaluated PCR-tiling of short (~400-bp) and long (~2 and ~2.5-kb) amplicons combined with nanopore sequencing on a MinION device for analysis of the SARS-CoV-2 genome sequences. Analysis of several sequencing runs demonstrated that using the long amplicon schemes outperforms the original protocol based on the 400-bp amplicons. It also illustrated common artefacts and problems associated with PCR-tiling approach, such as uneven genome coverage, variable fraction of discarded sequencing reads, including human and bacterial contamination, as well as the presence of reads derived from the viral sub-genomic RNAs.
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Affiliation(s)
- Broňa Brejová
- Department of Computer Science, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Bratislava, Slovak Republic
| | - Kristína Boršová
- Institute of Virology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovak Republic
- Department of Microbiology and Virology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovak Republic
| | - Viktória Hodorová
- Department of Biochemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovak Republic
| | - Viktória Čabanová
- Institute of Virology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovak Republic
| | - Askar Gafurov
- Department of Computer Science, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Bratislava, Slovak Republic
| | - Dominika Fričová
- Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovak Republic
| | - Martina Neboháčová
- Department of Biochemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovak Republic
| | - Tomáš Vinař
- Department of Applied Informatics, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Bratislava, Slovak Republic
| | - Boris Klempa
- Institute of Virology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovak Republic
| | - Jozef Nosek
- Department of Biochemistry, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovak Republic
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61
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Thannesberger J, Edermayr A, Karimi A, Mueller M, Karnthaler U, Gauss R, Penz D, Ferlitsch A, Steininger C. Evolution of SARS-CoV-2 Key Mutations in Vienna Detected by Large Scale Screening Program. Viruses 2021; 13:2014. [PMID: 34696444 PMCID: PMC8538562 DOI: 10.3390/v13102014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 09/19/2021] [Accepted: 09/27/2021] [Indexed: 01/18/2023] Open
Abstract
Currently countries across the globe are preparing for the fourth wave of SARS-CoV-2 infections, which is mainly driven by the rapid spread of novel SARS-CoV-2 variants. Austria and, in particular, the capital city of Vienna, witnessed a disproportionally steep rise in SARS-CoV-2 infection rates during the last wave of infections. By the end of January 2021, the government of Vienna launched an innovative, state-wide SARS-CoV-2 screening program based on PCR analysis of self-collected mouthwash samples. More than 400,000 mouthwash samples were collected in Vienna during the third wave of infection from January to March 2021. All preanalytical and analytical steps were carried out in a highly standardized manner at a single certified testing center. SARS-CoV-2 specific PCR analysis revealed in these samples a positivity rate of 0.43%. The relative proportion of N501Y positive virus samples increased continually to 68% of weekly samples. Mutation K417N was detected only in three samples. With this study, we were able to map the temporal occurrence of SARS-CoV-2 variants in a highly unbiased manner. Positivity rates and variant prevalence rates in this study were lower than in other nationwide programs. The results presented in this study indicate that actual virus prevalence tends to be overestimated by surveillance programs such as results of cluster analysis or contact tracing programs.
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Affiliation(s)
- Jakob Thannesberger
- Division of Infectious Diseases, Department of Medicine 1, Medical University of Vienna, 1090 Vienna, Austria;
| | - Anna Edermayr
- Lifebrain Covid Laboratory GmbH, 1140 Vienna, Austria; (A.E.); (A.K.); (M.M.)
| | - Alireza Karimi
- Lifebrain Covid Laboratory GmbH, 1140 Vienna, Austria; (A.E.); (A.K.); (M.M.)
| | - Mathias Mueller
- Lifebrain Covid Laboratory GmbH, 1140 Vienna, Austria; (A.E.); (A.K.); (M.M.)
| | - Ursula Karnthaler
- City Government of Vienna, State Sanitary Directorate, 1200 Vienna, Austria;
| | - Richard Gauss
- City Government of Vienna, Department for Strategic Health Care, 1200 Vienna, Austria;
| | - Daniela Penz
- Division of Gastroenterology and Nephrology, Department of Medicine 1, Hospital of St. John of God, 1020 Vienna, Austria; (D.P.); (A.F.)
| | - Arnulf Ferlitsch
- Division of Gastroenterology and Nephrology, Department of Medicine 1, Hospital of St. John of God, 1020 Vienna, Austria; (D.P.); (A.F.)
| | - Christoph Steininger
- Division of Infectious Diseases, Department of Medicine 1, Medical University of Vienna, 1090 Vienna, Austria;
- Karl Landsteiner Institute for Microbiome Research, 3100 St. Pölten, Austria
- Lead Horizon GmbH, 1060 Vienna, Austria
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62
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Dudas G, Hong SL, Potter BI, Calvignac-Spencer S, Niatou-Singa FS, Tombolomako TB, Fuh-Neba T, Vickos U, Ulrich M, Leendertz FH, Khan K, Huber C, Watts A, Olendraitė I, Snijder J, Wijnant KN, Bonvin AMJJ, Martres P, Behillil S, Ayouba A, Maidadi MF, Djomsi DM, Godwe C, Butel C, Šimaitis A, Gabrielaitė M, Katėnaitė M, Norvilas R, Raugaitė L, Koyaweda GW, Kandou JK, Jonikas R, Nasvytienė I, Žemeckienė Ž, Gečys D, Tamušauskaitė K, Norkienė M, Vasiliūnaitė E, Žiogienė D, Timinskas A, Šukys M, Šarauskas M, Alzbutas G, Aziza AA, Lusamaki EK, Cigolo JCM, Mawete FM, Lofiko EL, Kingebeni PM, Tamfum JJM, Belizaire MRD, Essomba RG, Assoumou MCO, Mboringong AB, Dieng AB, Juozapaitė D, Hosch S, Obama J, Ayekaba MO, Naumovas D, Pautienius A, Rafaï CD, Vitkauskienė A, Ugenskienė R, Gedvilaitė A, Čereškevičius D, Lesauskaitė V, Žemaitis L, Griškevičius L, Baele G. Emergence and spread of SARS-CoV-2 lineage B.1.620 with variant of concern-like mutations and deletions. Nat Commun 2021; 12:5769. [PMID: 34599175 PMCID: PMC8486757 DOI: 10.1038/s41467-021-26055-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 09/15/2021] [Indexed: 12/12/2022] Open
Abstract
Distinct SARS-CoV-2 lineages, discovered through various genomic surveillance initiatives, have emerged during the pandemic following unprecedented reductions in worldwide human mobility. We here describe a SARS-CoV-2 lineage - designated B.1.620 - discovered in Lithuania and carrying many mutations and deletions in the spike protein shared with widespread variants of concern (VOCs), including E484K, S477N and deletions HV69Δ, Y144Δ, and LLA241/243Δ. As well as documenting the suite of mutations this lineage carries, we also describe its potential to be resistant to neutralising antibodies, accompanying travel histories for a subset of European cases, evidence of local B.1.620 transmission in Europe with a focus on Lithuania, and significance of its prevalence in Central Africa owing to recent genome sequencing efforts there. We make a case for its likely Central African origin using advanced phylogeographic inference methodologies incorporating recorded travel histories of infected travellers.
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Affiliation(s)
- Gytis Dudas
- Gothenburg Global Biodiversity Centre, Gothenburg, Sweden.
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
| | - Samuel L Hong
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - Barney I Potter
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - Sébastien Calvignac-Spencer
- Epidemiology of Highly Pathogenic Organisms, Robert Koch Institute, 13353, Berlin, Germany
- Viral Evolution, Robert Koch Institute, 13353, Berlin, Germany
| | - Frédéric S Niatou-Singa
- WWF Central African Republic Programme Office, Dzanga Sangha Protected Areas, BP 1053, Bangui, Central African Republic
| | - Thais B Tombolomako
- WWF Central African Republic Programme Office, Dzanga Sangha Protected Areas, BP 1053, Bangui, Central African Republic
| | - Terence Fuh-Neba
- WWF Central African Republic Programme Office, Dzanga Sangha Protected Areas, BP 1053, Bangui, Central African Republic
| | - Ulrich Vickos
- Infectious and Tropical Diseases Unit, Department of medicine, Amitié Hospital, Bangui, Central African Republic
- Academic Department of Pediatrics, Clinical immunology and vaccinology, Children's Hospital Bambino Gesù, IRCCS, Rome, Italy
| | - Markus Ulrich
- Epidemiology of Highly Pathogenic Organisms, Robert Koch Institute, 13353, Berlin, Germany
| | - Fabian H Leendertz
- Epidemiology of Highly Pathogenic Organisms, Robert Koch Institute, 13353, Berlin, Germany
| | - Kamran Khan
- BlueDot, Toronto, ON, M5J 1A7, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, M5B 1A6, Canada
- Division of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, ON, M5S 3H2, Canada
| | | | | | - Ingrida Olendraitė
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
- Division of Virology, Department of Pathology, University of Cambridge, Addenbrooke's Hospital Lab, CB2 2QQ, Cambridge, UK
| | - Joost Snijder
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands
| | - Kim N Wijnant
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands
| | - Alexandre M J J Bonvin
- Bijvoet Centre for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands
| | - Pascale Martres
- Microbiology, Centre Hospitalier René Dubos, Cergy Pontoise, France
| | - Sylvie Behillil
- Molecular Genetics of RNA viruses, CNRS UMR 3569, Université de Paris, Institut Pasteur, Paris, France
- National Reference Center for Respiratory Viruses, Institut Pasteur, Paris, France
| | - Ahidjo Ayouba
- TransVIHMI, Université de Montpellier, IRD, INSERM, 911 Avenue Agropolis, 34394, Montpellier cedex, France
| | - Martin Foudi Maidadi
- Centre de Recherches sur les Maladies Émergentes, Ré-émergentes et la Médecine Nucléaire, Institut de Recherches Médicales et D'études des Plantes Médicinales, Yaoundé, Cameroon
| | - Dowbiss Meta Djomsi
- Centre de Recherches sur les Maladies Émergentes, Ré-émergentes et la Médecine Nucléaire, Institut de Recherches Médicales et D'études des Plantes Médicinales, Yaoundé, Cameroon
| | - Celestin Godwe
- Centre de Recherches sur les Maladies Émergentes, Ré-émergentes et la Médecine Nucléaire, Institut de Recherches Médicales et D'études des Plantes Médicinales, Yaoundé, Cameroon
| | - Christelle Butel
- TransVIHMI, Université de Montpellier, IRD, INSERM, 911 Avenue Agropolis, 34394, Montpellier cedex, France
| | - Aistis Šimaitis
- The Office of the Government of the Republic of Lithuania, Vilnius, Lithuania
| | | | - Monika Katėnaitė
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Rimvydas Norvilas
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
- Department of Experimental, Preventive and Clinical Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Ligita Raugaitė
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Giscard Wilfried Koyaweda
- Le Laboratoire National de Biologie Clinique et de Santé Publique (LNBCSP), Bangui, Central African Republic
| | - Jephté Kaleb Kandou
- Le Laboratoire National de Biologie Clinique et de Santé Publique (LNBCSP), Bangui, Central African Republic
| | - Rimvydas Jonikas
- Department of Genetics and Molecular Medicine, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, Lithuania
| | - Inga Nasvytienė
- Department of Genetics and Molecular Medicine, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, Lithuania
| | - Živilė Žemeckienė
- Department of Genetics and Molecular Medicine, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, Lithuania
| | - Dovydas Gečys
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Kamilė Tamušauskaitė
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Milda Norkienė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Emilija Vasiliūnaitė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Danguolė Žiogienė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Albertas Timinskas
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Marius Šukys
- Department of Genetics and Molecular Medicine, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, Lithuania
- Department of Genetics and Molecular Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Mantas Šarauskas
- Department of Genetics and Molecular Medicine, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, Lithuania
| | - Gediminas Alzbutas
- Institute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Adrienne Amuri Aziza
- National Institute for Biomedical Research (INRB), Avenue De la Democratie (Ex Huileries), BP 1197, Kinshasa-Gombe, Democratic Republic of the Congo
- University of Kinshasa (UNIKIN), BP 127, Kinshasa XI, Democratic Republic of the Congo
| | - Eddy Kinganda Lusamaki
- National Institute for Biomedical Research (INRB), Avenue De la Democratie (Ex Huileries), BP 1197, Kinshasa-Gombe, Democratic Republic of the Congo
- University of Kinshasa (UNIKIN), BP 127, Kinshasa XI, Democratic Republic of the Congo
| | - Jean-Claude Makangara Cigolo
- National Institute for Biomedical Research (INRB), Avenue De la Democratie (Ex Huileries), BP 1197, Kinshasa-Gombe, Democratic Republic of the Congo
- University of Kinshasa (UNIKIN), BP 127, Kinshasa XI, Democratic Republic of the Congo
| | - Francisca Muyembe Mawete
- National Institute for Biomedical Research (INRB), Avenue De la Democratie (Ex Huileries), BP 1197, Kinshasa-Gombe, Democratic Republic of the Congo
- University of Kinshasa (UNIKIN), BP 127, Kinshasa XI, Democratic Republic of the Congo
| | - Emmanuel Lokilo Lofiko
- National Institute for Biomedical Research (INRB), Avenue De la Democratie (Ex Huileries), BP 1197, Kinshasa-Gombe, Democratic Republic of the Congo
| | - Placide Mbala Kingebeni
- National Institute for Biomedical Research (INRB), Avenue De la Democratie (Ex Huileries), BP 1197, Kinshasa-Gombe, Democratic Republic of the Congo
- University of Kinshasa (UNIKIN), BP 127, Kinshasa XI, Democratic Republic of the Congo
| | - Jean-Jacques Muyembe Tamfum
- National Institute for Biomedical Research (INRB), Avenue De la Democratie (Ex Huileries), BP 1197, Kinshasa-Gombe, Democratic Republic of the Congo
- University of Kinshasa (UNIKIN), BP 127, Kinshasa XI, Democratic Republic of the Congo
| | | | - René Ghislain Essomba
- National Public Health Laboratory, Ministry of Public Health, Yaoundé, Cameroon
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | - Marie Claire Okomo Assoumou
- National Public Health Laboratory, Ministry of Public Health, Yaoundé, Cameroon
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | | | - Alle Baba Dieng
- World Health Organization, Cameroon Office, Yaoundé, Cameroon
| | - Dovilė Juozapaitė
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Salome Hosch
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Justino Obama
- Ministry of Health and Social Welfare, Malabo, Equatorial Guinea
| | | | - Daniel Naumovas
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Arnoldas Pautienius
- Institute of Microbiology and Virology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Clotaire Donatien Rafaï
- Le Laboratoire National de Biologie Clinique et de Santé Publique (LNBCSP), Bangui, Central African Republic
| | - Astra Vitkauskienė
- Department of Laboratory Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Rasa Ugenskienė
- Department of Genetics and Molecular Medicine, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, Lithuania
- Department of Genetics and Molecular Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Alma Gedvilaitė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Darius Čereškevičius
- Department of Genetics and Molecular Medicine, Hospital of Lithuanian University of Health Sciences Kauno Klinikos, Kaunas, Lithuania
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Vaiva Lesauskaitė
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Lukas Žemaitis
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
- National Public Health Surveillance Laboratory, Vilnius, Lithuania
| | - Laimonas Griškevičius
- Hematology, Oncology and Transfusion Medicine Center, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Guy Baele
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.
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Rehn A, Braun P, Knüpfer M, Wölfel R, Antwerpen MH, Walter MC. Catching SARS-CoV-2 by Sequence Hybridization: a Comparative Analysis. mSystems 2021; 6:e0039221. [PMID: 34342536 PMCID: PMC8407296 DOI: 10.1128/msystems.00392-21] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/12/2021] [Indexed: 11/20/2022] Open
Abstract
Controlling and monitoring the still ongoing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic regarding geographical distribution, evolution, and emergence of new mutations of the SARS-CoV-2 virus is only possible due to continuous next-generation sequencing (NGS) and sharing sequence data worldwide. Efficient sequencing strategies enable the retrieval of increasing numbers of high-quality, full-length genomes and are, hence, indispensable. Two opposed enrichment methods, tiling multiplex PCR and sequence hybridization by bait capture, have been established for SARS-CoV-2 sequencing and are both frequently used, depending on the quality of the patient sample and the question at hand. Here, we focused on the evaluation of the sequence hybridization method by studying five commercially available sequence capture bait panels with regard to sensitivity and capture efficiency. We discovered the SARS-CoV-2-specific panel of Twist Bioscience to be the most efficient panel, followed by two respiratory panels from Twist Bioscience and Illumina, respectively. Our results provide on the one hand a decision basis for the sequencing community including a computation for using the full capacity of the flow cell and on the other hand potential improvements for the manufacturers. IMPORTANCE Sequencing the genomes of the circulating SARS-CoV-2 strains is the only way to monitor the viral spread and evolution of the virus. Two different approaches, namely, tiling multiplex PCR and sequence hybridization by bait capture, are commonly used to fulfill this task. This study describes for the first time a combined approach of droplet digital PCR (ddPCR) and NGS to evaluate five commercially available sequence capture panels targeting SARS-CoV-2. In doing so, we were able to determine the most sensitive and efficient capture panel, distinguish the mode of action of the various bait panels, and compute the number of read pairs needed to recover a high-quality full-length genome. By calculating the minimum number of read pairs needed, we are providing optimized flow cell loading conditions for all sequencing laboratories worldwide that are striving for maximizing sequencing output and simultaneously minimizing time, costs, and sequencing resources.
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Affiliation(s)
| | - Peter Braun
- Bundeswehr Institute of Microbiology, Munich, Germany
| | - Mandy Knüpfer
- Bundeswehr Institute of Microbiology, Munich, Germany
| | - Roman Wölfel
- Bundeswehr Institute of Microbiology, Munich, Germany
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64
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Amplicon and Metagenomic Analysis of Middle East Respiratory Syndrome (MERS) Coronavirus and the Microbiome in Patients with Severe MERS. mSphere 2021; 6:e0021921. [PMID: 34287009 PMCID: PMC8386452 DOI: 10.1128/msphere.00219-21] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) is a zoonotic infection that emerged in the Middle East in 2012. Symptoms range from mild to severe and include both respiratory and gastrointestinal illnesses. The virus is mainly present in camel populations with occasional zoonotic spill over into humans. The severity of infection in humans is influenced by numerous factors, and similar to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), underlying health complications can play a major role. Currently, MERS-CoV and SARS-CoV-2 are coincident in the Middle East and thus a rapid way of sequencing MERS-CoV to derive genotype information for molecular epidemiology is needed. Additionally, complicating factors in MERS-CoV infections are coinfections that require clinical management. The ability to rapidly characterize these infections would be advantageous. To rapidly sequence MERS-CoV, an amplicon-based approach was developed and coupled to Oxford Nanopore long read length sequencing. This and a metagenomic approach were evaluated with clinical samples from patients with MERS. The data illustrated that whole-genome or near-whole-genome information on MERS-CoV could be rapidly obtained. This approach provided data on both consensus genomes and the presence of minor variants, including deletion mutants. The metagenomic analysis provided information of the background microbiome. The advantage of this approach is that insertions and deletions can be identified, which are the major drivers of genotype change in coronaviruses. IMPORTANCE Middle East respiratory syndrome coronavirus (MERS-CoV) emerged in late 2012 in Saudi Arabia. The virus is a serious threat to people not only in the Middle East but also in the world and has been detected in over 27 countries. MERS-CoV is spreading in the Middle East and neighboring countries, and approximately 35% of reported patients with this virus have died. This is the most severe coronavirus infection so far described. Saudi Arabia is a destination for many millions of people in the world who visit for religious purposes (Umrah and Hajj), and so it is a very vulnerable area, which imposes unique challenges for effective control of this epidemic. The significance of our study is that clinical samples from patients with MERS were used for rapid in-depth sequencing and metagenomic analysis using long read length sequencing.
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65
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Simonetti M, Zhang N, Harbers L, Milia MG, Brossa S, Huong Nguyen TT, Cerutti F, Berrino E, Sapino A, Bienko M, Sottile A, Ghisetti V, Crosetto N. COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance. Nat Commun 2021; 12:3903. [PMID: 34162869 PMCID: PMC8222401 DOI: 10.1038/s41467-021-24078-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 06/01/2021] [Indexed: 11/21/2022] Open
Abstract
While mass-scale vaccination campaigns are ongoing worldwide, genomic surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is critical to monitor the emergence and global spread of viral variants of concern (VOC). Here, we present a streamlined workflow-COVseq-which can be used to generate highly multiplexed sequencing libraries compatible with Illumina platforms from hundreds of SARS-CoV-2 samples in parallel, in a rapid and cost-effective manner. We benchmark COVseq against a standard library preparation method (NEBNext) on 29 SARS-CoV-2 positive samples, reaching 95.4% of concordance between single-nucleotide variants detected by both methods. Application of COVseq to 245 additional SARS-CoV-2 positive samples demonstrates the ability of the method to reliably detect emergent VOC as well as its compatibility with downstream phylogenetic analyses. A cost analysis shows that COVseq could be used to sequence thousands of samples at less than 15 USD per sample, including library preparation and sequencing costs. We conclude that COVseq is a versatile and scalable method that is immediately applicable for SARS-CoV-2 genomic surveillance and easily adaptable to other pathogens such as influenza viruses.
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Affiliation(s)
- Michele Simonetti
- Bienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- Science for Life Laboratory, Solna, Sweden
| | - Ning Zhang
- Bienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- Science for Life Laboratory, Solna, Sweden
- Department of Breast Surgery, Qilu hospital of Shandong University, Ji'nan, China
| | - Luuk Harbers
- Bienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- Science for Life Laboratory, Solna, Sweden
| | - Maria Grazia Milia
- Laboratory of Microbiology and Virology, Ospedale 'Amedeo di Savoia', Turin, Italy
| | - Silvia Brossa
- Instituto di Candiolo FPO-IRCCS, Candiolo, Turin, Italy
| | - Thi Thu Huong Nguyen
- Bienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- Science for Life Laboratory, Solna, Sweden
| | - Francesco Cerutti
- Laboratory of Microbiology and Virology, Ospedale 'Amedeo di Savoia', Turin, Italy
| | - Enrico Berrino
- Instituto di Candiolo FPO-IRCCS, Candiolo, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Anna Sapino
- Instituto di Candiolo FPO-IRCCS, Candiolo, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Magda Bienko
- Bienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
- Science for Life Laboratory, Solna, Sweden
| | | | - Valeria Ghisetti
- Laboratory of Microbiology and Virology, Ospedale 'Amedeo di Savoia', Turin, Italy.
| | - Nicola Crosetto
- Bienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
- Science for Life Laboratory, Solna, Sweden.
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Safiabadi Tali SH, LeBlanc JJ, Sadiq Z, Oyewunmi OD, Camargo C, Nikpour B, Armanfard N, Sagan SM, Jahanshahi-Anbuhi S. Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection. Clin Microbiol Rev 2021; 34:e00228-20. [PMID: 33980687 PMCID: PMC8142517 DOI: 10.1128/cmr.00228-20] [Citation(s) in RCA: 199] [Impact Index Per Article: 49.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and deaths worldwide. Efficient diagnostic tools are in high demand, as rapid and large-scale testing plays a pivotal role in patient management and decelerating disease spread. This paper reviews current technologies used to detect SARS-CoV-2 in clinical laboratories as well as advances made for molecular, antigen-based, and immunological point-of-care testing, including recent developments in sensor and biosensor devices. The importance of the timing and type of specimen collection is discussed, along with factors such as disease prevalence, setting, and methods. Details of the mechanisms of action of the various methodologies are presented, along with their application span and known performance characteristics. Diagnostic imaging techniques and biomarkers are also covered, with an emphasis on their use for assessing COVID-19 or monitoring disease severity or complications. While the SARS-CoV-2 literature is rapidly evolving, this review highlights topics of interest that have occurred during the pandemic and the lessons learned throughout. Exploring a broad armamentarium of techniques for detecting SARS-CoV-2 will ensure continued diagnostic support for clinicians, public health, and infection prevention and control for this pandemic and provide advice for future pandemic preparedness.
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Affiliation(s)
- Seyed Hamid Safiabadi Tali
- Department of Chemical and Materials Engineering, Gina Cody School of Engineering, Concordia University, Montréal, Québec, Canada
- Department of Mechanical, Industrial, and Aerospace Engineering, Gina Cody School of Engineering, Concordia University, Montréal, Québec, Canada
| | - Jason J LeBlanc
- Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Microbiology and Immunology, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Medicine (Infectious Diseases), Dalhousie University, Halifax, Nova Scotia, Canada
- Division of Microbiology, Department of Pathology and Laboratory Medicine, Nova Scotia Health, Halifax, Nova Scotia, Canada
| | - Zubi Sadiq
- Department of Chemical and Materials Engineering, Gina Cody School of Engineering, Concordia University, Montréal, Québec, Canada
| | - Oyejide Damilola Oyewunmi
- Department of Chemical and Materials Engineering, Gina Cody School of Engineering, Concordia University, Montréal, Québec, Canada
| | - Carolina Camargo
- Department of Microbiology and Immunology, McGill University, Montréal, Québec, Canada
| | - Bahareh Nikpour
- Department of Electrical and Computer Engineering, McGill University, Montréal, Québec, Canada
| | - Narges Armanfard
- Department of Electrical and Computer Engineering, McGill University, Montréal, Québec, Canada
- Mila-Quebec AI Institute, Montréal, Québec, Canada
| | - Selena M Sagan
- Department of Microbiology and Immunology, McGill University, Montréal, Québec, Canada
- Department of Biochemistry, McGill University, Montréal, Québec, Canada
| | - Sana Jahanshahi-Anbuhi
- Department of Chemical and Materials Engineering, Gina Cody School of Engineering, Concordia University, Montréal, Québec, Canada
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67
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Burnes LE, Clark ST, Sheldrake E, Faheem A, Poon BP, Christie-Holmes N, Finlay L, Kandel C, Phan M, Frankland C, Lau T, Gubbay JB, Corbeil A, Katz K, Kozak RA. One swab, two tests: Validation of dual SARS-CoV-2 testing on the Abbott ID NOW™. J Clin Virol 2021; 141:104896. [PMID: 34174710 PMCID: PMC8196482 DOI: 10.1016/j.jcv.2021.104896] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 05/31/2021] [Accepted: 06/03/2021] [Indexed: 11/25/2022]
Abstract
Background Point-of-care tests (POCT) are promising tools to detect SARS-CoV-2 in specific settings. Initial reports suggest the ID NOW™ COVID-19 assay (Abbott Diagnostics Inc, USA) is less sensitive than standard real-time reverse transcription polymerase chain reaction (rRT-PCR) assays. This has raised concern over false negatives in SARS-CoV-2 POCT. Objectives We compared the performance of the ID NOW™ COVID-19 assay to our in-house rRT-PCR assay to assess whether dry swabs used in ID NOW™ testing could be stored in transport media and be re-tested by rRT-PCR for redundancy and to provide material for further investigation. Methods Paired respiratory swabs collected from patients at three acute care hospitals were used. One swab in transport media (McMaster Molecular Media (MMM)) was tested for SARS-CoV-2 by a laboratory-developed two-target rRT-PCR assay. The second was stored dry in a sterile container and tested by the ID NOW™ COVID-19 assay. Following ID NOW™ testing, dry swabs were stored in MMM for up to 48 h and re-tested by rRT-PCR. Serially diluted SARS-CoV-2 particles were used to assess the impact of heat inactivation and storage time. Results Respiratory swabs (n = 343) from 179 individuals were included. Using rRT-PCR results as the comparator, the ID NOW™ COVID-19 assay had positive (PPA) and negative (NPA) percent agreements of 87.0% (95% CI:0.74–0.94) and 99.7% (95% CI:0.98–0.99). Re-tested swabs placed in MMM following ID NOW testing had PPA and NPA of 88.8% (95% CI:0.76–0.95) and 99.7% (95% CI:0.98–0.99), respectively. Conclusions Storing spent dry swabs in transport media for redundancy rRT-PCR testing is a potential approach to address possible false negatives with the ID NOW™ COVID-19 assay.
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Affiliation(s)
- Laura E Burnes
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
| | - Shawn T Clark
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | | | - Amna Faheem
- North York General Hospital, Toronto, ON, Canada
| | - Betty P Poon
- Combined Containment Level 3 Unit, University of Toronto,Toronto, ON, Canada
| | | | | | | | | | | | - Trevor Lau
- Shared Hospital Laboratory, Toronto, ON, Canada
| | - Jonathan B Gubbay
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; Public Health Ontario Laboratory, Toronto, ON, Canada
| | - Antoine Corbeil
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; Public Health Ontario Laboratory, Toronto, ON, Canada
| | - Kevin Katz
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; Shared Hospital Laboratory, Toronto, ON, Canada; North York General Hospital, Toronto, ON, Canada; Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Robert A Kozak
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; Shared Hospital Laboratory, Toronto, ON, Canada; Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
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68
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Banerjee A, El-Sayes N, Budylowski P, Jacob RA, Richard D, Maan H, Aguiar JA, Demian WL, Baid K, D'Agostino MR, Ang JC, Murdza T, Tremblay BJM, Afkhami S, Karimzadeh M, Irving AT, Yip L, Ostrowski M, Hirota JA, Kozak R, Capellini TD, Miller MS, Wang B, Mubareka S, McGeer AJ, McArthur AG, Doxey AC, Mossman K. Experimental and natural evidence of SARS-CoV-2-infection-induced activation of type I interferon responses. iScience 2021; 24:102477. [PMID: 33937724 PMCID: PMC8074517 DOI: 10.1016/j.isci.2021.102477] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 02/26/2021] [Accepted: 04/23/2021] [Indexed: 12/22/2022] Open
Abstract
Type I interferons (IFNs) are our first line of defense against virus infection. Recent studies have suggested the ability of SARS-CoV-2 proteins to inhibit IFN responses. Emerging data also suggest that timing and extent of IFN production is associated with manifestation of COVID-19 severity. In spite of progress in understanding how SARS-CoV-2 activates antiviral responses, mechanistic studies into wild-type SARS-CoV-2-mediated induction and inhibition of human type I IFN responses are scarce. Here we demonstrate that SARS-CoV-2 infection induces a type I IFN response in vitro and in moderate cases of COVID-19. In vitro stimulation of type I IFN expression and signaling in human airway epithelial cells is associated with activation of canonical transcriptions factors, and SARS-CoV-2 is unable to inhibit exogenous induction of these responses. Furthermore, we show that physiological levels of IFNα detected in patients with moderate COVID-19 is sufficient to suppress SARS-CoV-2 replication in human airway cells.
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Affiliation(s)
- Arinjay Banerjee
- Department of Medicine, McMaster University, Hamilton, ON L8N 3Z5, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S 4K1, Canada
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada
- Corresponding author
| | - Nader El-Sayes
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Patrick Budylowski
- Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Rajesh Abraham Jacob
- Department of Medicine, McMaster University, Hamilton, ON L8N 3Z5, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S 4K1, Canada
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Daniel Richard
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Hassaan Maan
- Vector Institute for Artificial Intelligence, Toronto, ON M5G 1M1, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON M5G 2C4, Canada
| | - Jennifer A. Aguiar
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Wael L. Demian
- Department of Medicine, McMaster University, Hamilton, ON L8N 3Z5, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S 4K1, Canada
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Kaushal Baid
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Michael R. D'Agostino
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S 4K1, Canada
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Jann Catherine Ang
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S 4K1, Canada
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Tetyana Murdza
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada
| | | | - Sam Afkhami
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S 4K1, Canada
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Mehran Karimzadeh
- Vector Institute for Artificial Intelligence, Toronto, ON M5G 1M1, Canada
| | - Aaron T. Irving
- Zhejiang University – University of Edinburgh Institute, Haining, Zhejiang 314400, China
- Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310027, China
| | - Lily Yip
- Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
| | - Mario Ostrowski
- Department of Medicine, University of Toronto, Toronto, ON M5S 3H2, Canada
- Keenan Research Centre for Biomedical Science of St. Michael's Hospital, UnityHealth, Toronto, ON M5B 1W8, Canada
| | - Jeremy A. Hirota
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S 4K1, Canada
- Division of Respirology, Department of Medicine, McMaster University, Hamilton, ON L8N 3Z5, Canada
- Division of Respiratory Medicine, The University of British Columbia, Vancouver, BC V5Z 1M9, Canada
| | - Robert Kozak
- Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Terence D. Capellini
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Matthew S. Miller
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S 4K1, Canada
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Bo Wang
- Vector Institute for Artificial Intelligence, Toronto, ON M5G 1M1, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON M5G 2C4, Canada
- Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Samira Mubareka
- Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Allison J. McGeer
- Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Andrew G. McArthur
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S 4K1, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Andrew C. Doxey
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S 4K1, Canada
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Karen Mossman
- Department of Medicine, McMaster University, Hamilton, ON L8N 3Z5, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON L8S 4K1, Canada
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8S 4K1, Canada
- Corresponding author
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Rapid High-Throughput Whole-Genome Sequencing of SARS-CoV-2 by Using One-Step Reverse Transcription-PCR Amplification with an Integrated Microfluidic System and Next-Generation Sequencing. J Clin Microbiol 2021; 59:JCM.02784-20. [PMID: 33653700 PMCID: PMC8091833 DOI: 10.1128/jcm.02784-20] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 02/24/2021] [Indexed: 12/13/2022] Open
Abstract
The long-lasting global COVID-19 pandemic demands timely genomic investigation of SARS-CoV-2 viruses. Here, we report a simple and efficient workflow for whole-genome sequencing utilizing one-step reverse transcription-PCR (RT-PCR) amplification on a microfluidic platform, followed by MiSeq amplicon sequencing. The long-lasting global COVID-19 pandemic demands timely genomic investigation of SARS-CoV-2 viruses. Here, we report a simple and efficient workflow for whole-genome sequencing utilizing one-step reverse transcription-PCR (RT-PCR) amplification on a microfluidic platform, followed by MiSeq amplicon sequencing. The method uses Fluidigm integrated fluidic circuit (IFC) and instruments to amplify 48 samples with 39 pairs of primers, including 35 custom-designed primer pairs and four additional primer pairs from the ARTIC network protocol v3. Application of this method on RNA samples from both viral isolates and clinical specimens demonstrates robustness and efficiency in obtaining the full genome sequence of SARS-CoV-2.
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70
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Fitzpatrick AH, Rupnik A, O'Shea H, Crispie F, Keaveney S, Cotter P. High Throughput Sequencing for the Detection and Characterization of RNA Viruses. Front Microbiol 2021; 12:621719. [PMID: 33692767 PMCID: PMC7938315 DOI: 10.3389/fmicb.2021.621719] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 01/20/2021] [Indexed: 12/12/2022] Open
Abstract
This review aims to assess and recommend approaches for targeted and agnostic High Throughput Sequencing of RNA viruses in a variety of sample matrices. HTS also referred to as deep sequencing, next generation sequencing and third generation sequencing; has much to offer to the field of environmental virology as its increased sequencing depth circumvents issues with cloning environmental isolates for Sanger sequencing. That said however, it is important to consider the challenges and biases that method choice can impart to sequencing results. Here, methodology choices from RNA extraction, reverse transcription to library preparation are compared based on their impact on the detection or characterization of RNA viruses.
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Affiliation(s)
- Amy H. Fitzpatrick
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
- Shellfish Microbiology, Marine Institute, Oranmore, Ireland
- Biological Sciences, Munster Technological University, Cork, Ireland
| | | | - Helen O'Shea
- Biological Sciences, Munster Technological University, Cork, Ireland
| | - Fiona Crispie
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
| | | | - Paul Cotter
- Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland
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Amplicon-Based Detection and Sequencing of SARS-CoV-2 in Nasopharyngeal Swabs from Patients With COVID-19 and Identification of Deletions in the Viral Genome That Encode Proteins Involved in Interferon Antagonism. Viruses 2020; 12:v12101164. [PMID: 33066701 PMCID: PMC7602519 DOI: 10.3390/v12101164] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 10/08/2020] [Accepted: 10/09/2020] [Indexed: 01/12/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19). Sequencing the viral genome as the outbreak progresses is important, particularly in the identification of emerging isolates with different pathogenic potential and to identify whether nucleotide changes in the genome will impair clinical diagnostic tools such as real-time PCR assays. Although single nucleotide polymorphisms and point mutations occur during the replication of coronaviruses, one of the biggest drivers in genetic change is recombination. This can manifest itself in insertions and/or deletions in the viral genome. Therefore, sequencing strategies that underpin molecular epidemiology and inform virus biology in patients should take these factors into account. A long amplicon/read length-based RT-PCR sequencing approach focused on the Oxford Nanopore MinION/GridION platforms was developed to identify and sequence the SARS-CoV-2 genome in samples from patients with or suspected of COVID-19. The protocol, termed Rapid Sequencing Long Amplicons (RSLAs) used random primers to generate cDNA from RNA purified from a sample from a patient, followed by single or multiplex PCRs to generate longer amplicons of the viral genome. The base protocol was used to identify SARS-CoV-2 in a variety of clinical samples and proved sensitive in identifying viral RNA in samples from patients that had been declared negative using other nucleic acid-based assays (false negative). Sequencing the amplicons revealed that a number of patients had a proportion of viral genomes with deletions.
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