1
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Euzen V, Xhaard A, Berreira-Ibraim S, Deville L, Quentin A, Prata PHDEL, Gournay V, Prot M, Rahou Y, Barbet M, Mercier-Delarue S, Tour RPDELA, Simon-Loriere E, Legoff J. Zanamivir and Baloxavir Combination to cure Persistent Influenza and Coronavirus Infections after Hematopoietic Stem Cell Transplant. Int J Antimicrob Agents 2024:107281. [PMID: 39047913 DOI: 10.1016/j.ijantimicag.2024.107281] [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: 01/24/2024] [Revised: 06/14/2024] [Accepted: 07/16/2024] [Indexed: 07/27/2024]
Abstract
OBJECTIVES . Immunocompromised patients may experience prolonged shedding of influenza virus potentially leading to severe infections. Alternatives to monotherapy with neuraminidase inhibitors should be evaluated to entirely suppress viral replication and prevent drug-resistant mutations. METHODS . We investigated the clinical and virological evolution in a case of persistent influenza A and human coronavirus OC43 (HCoV-OC43) coinfection in a hematopoietic stem cell transplant recipient after different therapeutic strategies. RESULTS . Successive oseltamivir and zanamivir monotherapies failed to control both infections, with positive results persisting for over 110 days each. This led to the emergence of highly resistant oseltamivir strains due to neuraminidase mutations (E119V and R292K) followed by a deletion (del245-248), while maintaining sensitivity to zanamivir. The intra-host viral diversity data showed that the treatments impacted viral diversity of influenza virus, but not of HCoV-OC43. Considering the patient's underlying condition and the impact of prolonged viral shedding on pulmonary function, eradicating the influenza virus was necessary. A 10-day regimen combining zanamivir and baloxavir-marboxil effectively controlled influenza virus replication and was associated with the clearance of HCoV-OC43, finally resulting in comprehensive respiratory recovery. CONCLUSION These observations underscore the importance of further investigating combination treatments as the primary approach to achieve influenza eradication in immunocompromised patients.
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Affiliation(s)
- Victor Euzen
- Virology Department, AP-HP, Hôpital Saint Louis, F-75010 Paris, France
| | - Aliénor Xhaard
- Hematology Transplantation, AP-HP, Hôpital Saint Louis, F-75010 Paris, France
| | - Samar Berreira-Ibraim
- Institut Pasteur, National Reference Center for Respiratory Viruses, F-75015 Paris, France
| | - Laure Deville
- Pharmacy, AP-HP, Hôpital Saint-Louis, F-75010 Paris, France
| | - Aude Quentin
- Hematology, Hôpital Jean Jaures, F-75010 Paris, France
| | | | - Viviane Gournay
- Hematology Transplantation, AP-HP, Hôpital Saint Louis, F-75010 Paris, France
| | - Matthieu Prot
- Institut Pasteur, Université Paris Cité, G5 Evolutionary Genomics of RNA Viruses, F-75015 Paris, France
| | - Yannis Rahou
- Institut Pasteur, National Reference Center for Respiratory Viruses, F-75015 Paris, France
| | - Marion Barbet
- Institut Pasteur, National Reference Center for Respiratory Viruses, F-75015 Paris, France
| | | | | | - Etienne Simon-Loriere
- Institut Pasteur, National Reference Center for Respiratory Viruses, F-75015 Paris, France; Institut Pasteur, Université Paris Cité, G5 Evolutionary Genomics of RNA Viruses, F-75015 Paris, France
| | - Jérôme Legoff
- Virology Department, AP-HP, Hôpital Saint Louis, F-75010 Paris, France; Université Paris Cité, Inserm U976, Insight team, F-75010 Paris, France.
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2
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Young MG, Straub TJ, Worby CJ, Metsky HC, Gnirke A, Bronson RA, van Dijk LR, Desjardins CA, Matranga C, Qu J, Villicana JB, Azimzadeh P, Kau A, Dodson KW, Schreiber HL, Manson AL, Hultgren SJ, Earl AM. Distinct Escherichia coli transcriptional profiles in the guts of recurrent UTI sufferers revealed by pangenome hybrid selection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.29.582780. [PMID: 38463963 PMCID: PMC10925322 DOI: 10.1101/2024.02.29.582780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Low-abundance members of microbial communities are difficult to study in their native habitats. This includes Escherichia coli, a minor, but common inhabitant of the gastrointestinal tract and opportunistic pathogen, including of the urinary tract, where it is the primary pathogen. While multi-omic analyses have detailed critical interactions between uropathogenic Escherichia coli (UPEC) and the bladder that mediate UTI outcome, comparatively little is known about UPEC in its pre-infection reservoir, partly due to its low abundance there (<1% relative abundance). To accurately and sensitively explore the genomes and transcriptomes of diverse E. coli in gastrointestinal communities, we developed E. coli PanSelect which uses a set of probes designed to specifically recognize and capture E. coli's broad pangenome from sequencing libraries. We demonstrated the ability of E. coli PanSelect to enrich, by orders of magnitude, sequencing data from diverse E. coli using a mock community and a set of human stool samples collected as part of a cohort study investigating drivers of recurrent urinary tract infections (rUTI). Comparisons of genomes and transcriptomes between E. coli residing in the gastrointestinal tracts of women with and without a history of rUTI suggest that rUTI gut E. coli are responding to increased levels of oxygen and nitrate, suggestive of mucosal inflammation, which may have implications for recurrent disease. E. coli PanSelect is well suited for investigations of native in vivo biology of E. coli in other environments where it is at low relative abundance, and the framework described here has broad applicability to other highly diverse, low abundance organisms.
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Affiliation(s)
- Mark G Young
- Infectious Disease & Microbiome Program, Broad Institute, Cambridge, MA 02142, USA
| | - Timothy J Straub
- Infectious Disease & Microbiome Program, Broad Institute, Cambridge, MA 02142, USA
| | - Colin J Worby
- Infectious Disease & Microbiome Program, Broad Institute, Cambridge, MA 02142, USA
| | - Hayden C Metsky
- Infectious Disease & Microbiome Program, Broad Institute, Cambridge, MA 02142, USA
| | - Andreas Gnirke
- Infectious Disease & Microbiome Program, Broad Institute, Cambridge, MA 02142, USA
| | - Ryan A Bronson
- Infectious Disease & Microbiome Program, Broad Institute, Cambridge, MA 02142, USA
| | - Lucas R van Dijk
- Infectious Disease & Microbiome Program, Broad Institute, Cambridge, MA 02142, USA
- Delft Bioinformatics Lab, Delft University of Technology, Van Mourik Broekmanweg 6, Delft, 2628 XE, The Netherlands
| | | | - Christian Matranga
- Infectious Disease & Microbiome Program, Broad Institute, Cambridge, MA 02142, USA
| | - James Qu
- Infectious Disease & Microbiome Program, Broad Institute, Cambridge, MA 02142, USA
| | - Jesús Bazan Villicana
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Philippe Azimzadeh
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew Kau
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, MO, USA
- Division of Allergy and Immunology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Karen W Dodson
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Henry L Schreiber
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Abigail L Manson
- Infectious Disease & Microbiome Program, Broad Institute, Cambridge, MA 02142, USA
| | - Scott J Hultgren
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Ashlee M Earl
- Infectious Disease & Microbiome Program, Broad Institute, Cambridge, MA 02142, USA
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3
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Paskey AC, Schully KL, Voegtly LJ, Arnold CE, Cer RZ, Frey KG, Blair PW, Clark DV, Ge H, Richards AL, Farris CM, Bishop-Lilly KA. A proof of concept for a targeted enrichment approach to the simultaneous detection and characterization of rickettsial pathogens from clinical specimens. Front Microbiol 2024; 15:1387208. [PMID: 38659991 PMCID: PMC11039911 DOI: 10.3389/fmicb.2024.1387208] [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: 02/17/2024] [Accepted: 03/26/2024] [Indexed: 04/26/2024] Open
Abstract
Infection with either Rickettsia prowazekii or Orientia tsutsugamushi is common, yet diagnostic capabilities are limited due to the short window for positive identification. Until now, although targeted enrichment had been applied to increase sensitivity of sequencing-based detection for various microorganisms, it had not been applied to sequencing of R. prowazekii in clinical samples. Additionally, hybridization-based targeted enrichment strategies had only scarcely been applied to qPCR of any pathogens in clinical samples. Therefore, we tested a targeted enrichment technique as a proof of concept and found that it dramatically reduced the limits of detection of these organisms by both qPCR and high throughput sequencing. The enrichment methodology was first tested in contrived clinical samples with known spiked-in concentrations of R. prowazekii and O. tsutsugamushi DNA. This method was also evaluated using clinical samples, resulting in the simultaneous identification and characterization of O. tsutsugamushi directly from clinical specimens taken from sepsis patients. We demonstrated that the targeted enrichment technique is helpful by lowering the limit of detection, not only when applied to sequencing, but also when applied to qPCR, suggesting the technique could be applied more broadly to include other assays and/or microbes for which there are limited diagnostic or detection modalities.
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Affiliation(s)
- Adrian C. Paskey
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Command, Frederick, MD, United States
- Leidos, Reston, VA, United States
| | - Kevin L. Schully
- Austere Environments Consortium for Enhanced Sepsis Outcomes (ACESO), Biological Defense Research Directorate, Naval Medical Research Command, Frederick, MD, United States
| | - Logan J. Voegtly
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Command, Frederick, MD, United States
- Leidos, Reston, VA, United States
| | - Catherine E. Arnold
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Command, Frederick, MD, United States
- Defense Threat Reduction Agency, Fort Belvoir, VA, United States
| | - Regina Z. Cer
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Command, Frederick, MD, United States
| | - Kenneth G. Frey
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Command, Frederick, MD, United States
| | - Paul W. Blair
- Austere Environments Consortium for Enhanced Sepsis Outcomes (ACESO), Biological Defense Research Directorate, Naval Medical Research Command, Frederick, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Danielle V. Clark
- Austere Environments Consortium for Enhanced Sepsis Outcomes (ACESO), Biological Defense Research Directorate, Naval Medical Research Command, Frederick, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Hong Ge
- Viral and Rickettsial Diseases Department, Infectious Diseases Directorate, Naval Medical Research Command, Silver Spring, MD, United States
| | - Allen L. Richards
- Viral and Rickettsial Diseases Department, Infectious Diseases Directorate, Naval Medical Research Command, Silver Spring, MD, United States
| | - Christina M. Farris
- Viral and Rickettsial Diseases Department, Infectious Diseases Directorate, Naval Medical Research Command, Silver Spring, MD, United States
| | - Kimberly A. Bishop-Lilly
- Genomics and Bioinformatics Department, Biological Defense Research Directorate, Naval Medical Research Command, Frederick, MD, United States
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4
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Quek ZBR, Ng SH. Hybrid-Capture Target Enrichment in Human Pathogens: Identification, Evolution, Biosurveillance, and Genomic Epidemiology. Pathogens 2024; 13:275. [PMID: 38668230 PMCID: PMC11054155 DOI: 10.3390/pathogens13040275] [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: 01/30/2024] [Revised: 03/11/2024] [Accepted: 03/18/2024] [Indexed: 04/29/2024] Open
Abstract
High-throughput sequencing (HTS) has revolutionised the field of pathogen genomics, enabling the direct recovery of pathogen genomes from clinical and environmental samples. However, pathogen nucleic acids are often overwhelmed by those of the host, requiring deep metagenomic sequencing to recover sufficient sequences for downstream analyses (e.g., identification and genome characterisation). To circumvent this, hybrid-capture target enrichment (HC) is able to enrich pathogen nucleic acids across multiple scales of divergences and taxa, depending on the panel used. In this review, we outline the applications of HC in human pathogens-bacteria, fungi, parasites and viruses-including identification, genomic epidemiology, antimicrobial resistance genotyping, and evolution. Importantly, we explored the applicability of HC to clinical metagenomics, which ultimately requires more work before it is a reliable and accurate tool for clinical diagnosis. Relatedly, the utility of HC was exemplified by COVID-19, which was used as a case study to illustrate the maturity of HC for recovering pathogen sequences. As we unravel the origins of COVID-19, zoonoses remain more relevant than ever. Therefore, the role of HC in biosurveillance studies is also highlighted in this review, which is critical in preparing us for the next pandemic. We also found that while HC is a popular tool to study viruses, it remains underutilised in parasites and fungi and, to a lesser extent, bacteria. Finally, weevaluated the future of HC with respect to bait design in the eukaryotic groups and the prospect of combining HC with long-read HTS.
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Affiliation(s)
- Z. B. Randolph Quek
- Defence Medical & Environmental Research Institute, DSO National Laboratories, Singapore 117510, Singapore
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5
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Croville G, Walch M, Sécula A, Lèbre L, Silva S, Filaire F, Guérin JL. An amplicon-based nanopore sequencing workflow for rapid tracking of avian influenza outbreaks, France, 2020-2022. Front Cell Infect Microbiol 2024; 14:1257586. [PMID: 38318163 PMCID: PMC10839014 DOI: 10.3389/fcimb.2024.1257586] [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: 07/12/2023] [Accepted: 01/04/2024] [Indexed: 02/07/2024] Open
Abstract
During the recent avian influenza epizootics that occurred in France in 2020/21 and 2021/22, the virus was so contagiousness that it was impossible to control its spread between farms. The preventive slaughter of millions of birds consequently was the only solution available. In an effort to better understand the spread of avian influenza viruses (AIVs) in a rapid and innovative manner, we established an amplicon-based MinION sequencing workflow for the rapid genetic typing of circulating AIV strains. An amplicon-based MinION sequencing workflow based on a set of PCR primers targeting primarily the hemagglutinin gene but also the entire influenza virus genome was developed. Thirty field samples from H5 HPAIV outbreaks in France, including environmental samples, were sequenced using the MinION MK1C. A real-time alignment of the sequences with MinKNOW software allowed the sequencing run to be stopped as soon as enough data were generated. The consensus sequences were then generated and a phylogenetic analysis was conducted to establish links between the outbreaks. The whole sequence of the hemagglutinin gene was obtained for the 30 clinical samples of H5Nx HPAIV belonging to clade 2.3.4.4b. The consensus sequences comparison and the phylogenetic analysis demonstrated links between some outbreaks. While several studies have shown the advantages of MinION for avian influenza virus sequencing, this workflow has been applied exclusively to clinical field samples, without any amplification step on cell cultures or embryonated eggs. As this type of testing pipeline requires only a short amount of time to link outbreaks or demonstrate a new introduction, it could be applied to the real-time management of viral epizootics.
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6
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Normandin E, Triana S, Raju SS, Lan TC, Lagerborg K, Rudy M, Adams GC, DeRuff KC, Logue J, Liu D, Strebinger D, Rao A, Messer KS, Sacks M, Adams RD, Janosko K, Kotliar D, Shah R, Crozier I, Rinn JL, Melé M, Honko AN, Zhang F, Babadi M, Luban J, Bennett RS, Shalek AK, Barkas N, Lin AE, Hensley LE, Sabeti PC, Siddle KJ. Natural history of Ebola virus disease in rhesus monkeys shows viral variant emergence dynamics and tissue-specific host responses. CELL GENOMICS 2023; 3:100440. [PMID: 38169842 PMCID: PMC10759212 DOI: 10.1016/j.xgen.2023.100440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 02/27/2023] [Accepted: 10/15/2023] [Indexed: 01/05/2024]
Abstract
Ebola virus (EBOV) causes Ebola virus disease (EVD), marked by severe hemorrhagic fever; however, the mechanisms underlying the disease remain unclear. To assess the molecular basis of EVD across time, we performed RNA sequencing on 17 tissues from a natural history study of 21 rhesus monkeys, developing new methods to characterize host-pathogen dynamics. We identified alterations in host gene expression with previously unknown tissue-specific changes, including downregulation of genes related to tissue connectivity. EBOV was widely disseminated throughout the body; using a new, broadly applicable deconvolution method, we found that viral load correlated with increased monocyte presence. Patterns of viral variation between tissues differentiated primary infections from compartmentalized infections, and several variants impacted viral fitness in a EBOV/Kikwit minigenome system, suggesting that functionally significant variants can emerge during early infection. This comprehensive portrait of host-pathogen dynamics in EVD illuminates new features of pathogenesis and establishes resources to study other emerging pathogens.
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Affiliation(s)
- Erica Normandin
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Sergio Triana
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Chemistry, Institute for Medical Engineering and Sciences (IMES), and Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA 02142, USA
- Ragon Institute of MGH, Harvard, and MIT, Cambridge, MA 02139, USA
| | - Siddharth S. Raju
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Tammy C.T. Lan
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Molecular and Cellular Biology, Harvard University, Boston, MA, USA
| | - Kim Lagerborg
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Harvard Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Melissa Rudy
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Gordon C. Adams
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - James Logue
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - David Liu
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Daniel Strebinger
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815-6789, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Arya Rao
- Columbia University, New York, NY, USA
- Harvard/MIT MD-PhD Program, Harvard Medical School, Boston, MA 02115, USA
| | | | - Molly Sacks
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Ricky D. Adams
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Krisztina Janosko
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Dylan Kotliar
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Rickey Shah
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Ian Crozier
- Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - John L. Rinn
- Department of Biochemistry, University of Colorado Boulder, Boulder, CO 80303, USA
| | - Marta Melé
- Life Sciences Department, Barcelona Supercomputing Center, 08034 Barcelona, Catalonia, Spain
| | - Anna N. Honko
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA 02118, USA
| | - Feng Zhang
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815-6789, USA
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Mehrtash Babadi
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Jeremy Luban
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Ragon Institute of MGH, Harvard, and MIT, Cambridge, MA 02139, USA
- Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Richard S. Bennett
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Alex K. Shalek
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
- Department of Chemistry, Institute for Medical Engineering and Sciences (IMES), and Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA 02142, USA
- Ragon Institute of MGH, Harvard, and MIT, Cambridge, MA 02139, USA
| | - Nikolaos Barkas
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Aaron E. Lin
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Harvard Program in Virology, Harvard Medical School, Boston, MA 02115, USA
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Lisa E. Hensley
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD 21702, USA
| | - Pardis C. Sabeti
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815-6789, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Katherine J. Siddle
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Molecular Microbiology and Immunology, Brown University, Providence, RI 02912, USA
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7
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Saunders N, Fernandez I, Planchais C, Michel V, Rajah MM, Baquero Salazar E, Postal J, Porrot F, Guivel-Benhassine F, Blanc C, Chauveau-Le Friec G, Martin A, Grzelak L, Oktavia RM, Meola A, Ahouzi O, Hoover-Watson H, Prot M, Delaune D, Cornelissen M, Deijs M, Meriaux V, Mouquet H, Simon-Lorière E, van der Hoek L, Lafaye P, Rey F, Buchrieser J, Schwartz O. TMPRSS2 is a functional receptor for human coronavirus HKU1. Nature 2023; 624:207-214. [PMID: 37879362 DOI: 10.1038/s41586-023-06761-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 10/18/2023] [Indexed: 10/27/2023]
Abstract
Four endemic seasonal human coronaviruses causing common colds circulate worldwide: HKU1, 229E, NL63 and OC43 (ref. 1). After binding to cellular receptors, coronavirus spike proteins are primed for fusion by transmembrane serine protease 2 (TMPRSS2) or endosomal cathepsins2-9. NL63 uses angiotensin-converting enzyme 2 as a receptor10, whereas 229E uses human aminopeptidase-N11. HKU1 and OC43 spikes bind cells through 9-O-acetylated sialic acid, but their protein receptors remain unknown12. Here we show that TMPRSS2 is a functional receptor for HKU1. TMPRSS2 triggers HKU1 spike-mediated cell-cell fusion and pseudovirus infection. Catalytically inactive TMPRSS2 mutants do not cleave HKU1 spike but allow pseudovirus infection. Furthermore, TMPRSS2 binds with high affinity to the HKU1 receptor binding domain (Kd 334 and 137 nM for HKU1A and HKU1B genotypes) but not to SARS-CoV-2. Conserved amino acids in the HKU1 receptor binding domain are essential for binding to TMPRSS2 and pseudovirus infection. Newly designed anti-TMPRSS2 nanobodies potently inhibit HKU1 spike attachment to TMPRSS2, fusion and pseudovirus infection. The nanobodies also reduce infection of primary human bronchial cells by an authentic HKU1 virus. Our findings illustrate the various evolution strategies of coronaviruses, which use TMPRSS2 to either directly bind to target cells or prime their spike for membrane fusion and entry.
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Affiliation(s)
- Nell Saunders
- Virus & Immunity Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | - Ignacio Fernandez
- Structural Virology Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | - Cyril Planchais
- Humoral Immunology Unit, Institut Pasteur, Université de Paris Cité, INSERM U1222, Paris, France
| | - Vincent Michel
- Pathogenesis of Vascular Infections Unit, Institut Pasteur, INSERM, Paris, France
| | - Maaran Michael Rajah
- Virus & Immunity Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | - Eduard Baquero Salazar
- Nanoimaging core, Institut Pasteur, Université de Paris Cité, INSERM U1222, Paris, France
| | - Jeanne Postal
- Virus & Immunity Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | - Francoise Porrot
- Virus & Immunity Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | | | - Catherine Blanc
- Pasteur-TheraVectys Joint Lab, Institut Pasteur, Université de Paris Cité, Paris, France
| | - Gaëlle Chauveau-Le Friec
- Antibody Engineering Platform, C2RT, Institut Pasteur, Université de Paris Cité, CNRS UMR 3528, Paris, France
| | - Augustin Martin
- Virus & Immunity Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | - Ludivine Grzelak
- Virus & Immunity Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | - Rischa Maya Oktavia
- Structural Virology Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | - Annalisa Meola
- Structural Virology Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | - Olivia Ahouzi
- Structural Virology Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | - Hunter Hoover-Watson
- Virus & Immunity Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | - Matthieu Prot
- G5 Evolutionary Genomics of RNA Viruses, Institut Pasteur, Paris, France
| | - Deborah Delaune
- G5 Evolutionary Genomics of RNA Viruses, Institut Pasteur, Paris, France
- Institut de Recherche Biomédicale des Armées, Brétigny-sur-Orge, France
| | - Marion Cornelissen
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, Molecular Diagnostic Unit, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands
| | - Martin Deijs
- Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, Laboratory of Experimental Virology, University of Amsterdam, Amsterdam, The Netherlands
| | - Véronique Meriaux
- Antibody Engineering Platform, C2RT, Institut Pasteur, Université de Paris Cité, CNRS UMR 3528, Paris, France
| | - Hugo Mouquet
- Humoral Immunology Unit, Institut Pasteur, Université de Paris Cité, INSERM U1222, Paris, France
| | - Etienne Simon-Lorière
- G5 Evolutionary Genomics of RNA Viruses, Institut Pasteur, Paris, France
- National Reference Center for viruses of respiratory infections, Institut Pasteur, Paris, France
| | - Lia van der Hoek
- Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, Laboratory of Experimental Virology, University of Amsterdam, Amsterdam, The Netherlands
| | - Pierre Lafaye
- Antibody Engineering Platform, C2RT, Institut Pasteur, Université de Paris Cité, CNRS UMR 3528, Paris, France
| | - Felix Rey
- Structural Virology Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France
| | - Julian Buchrieser
- Virus & Immunity Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France.
| | - Olivier Schwartz
- Virus & Immunity Unit, Institut Pasteur, Université de Paris Cité, CNRS UMR 3569, Paris, France.
- Vaccine Research Institute, Creteil, France.
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8
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Weingarten-Gabbay S, Bauer MR, Stanton AC, Klaeger S, Verzani EK, López D, Clauser KR, Carr SA, Abelin JG, Rice CM, Sabeti PC. Pan-viral ORFs discovery using Massively Parallel Ribosome Profiling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.26.559641. [PMID: 37808651 PMCID: PMC10557741 DOI: 10.1101/2023.09.26.559641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Unveiling the complete proteome of viruses is crucial to our understanding of the viral life cycle and interaction with the host. We developed Massively Parallel Ribosome Profiling (MPRP) to experimentally determine open reading frames (ORFs) in 20,170 designed oligonucleotides across 679 human-associated viral genomes. We identified 5,381 ORFs, including 4,208 non-canonical ORFs, and show successful detection of both annotated coding sequences (CDSs) and reported non-canonical ORFs. By examining immunopeptidome datasets of infected cells, we found class I human leukocyte antigen (HLA-I) peptides originating from non-canonical ORFs identified through MPRP. By inspecting ribosome occupancies on the 5'UTR and CDS regions of annotated viral genes, we identified hundreds of upstream ORFs (uORFs) that negatively regulate the synthesis of canonical viral proteins. The unprecedented source of viral ORFs across a wide range of viral families, including highly pathogenic viruses, expands the repertoire of vaccine targets and exposes new cis-regulatory sequences in viral genomes.
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9
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Earnest R, Hahn AM, Feriancek NM, Brandt M, Filler RB, Zhao Z, Breban MI, Vogels CBF, Chen NFG, Koch RT, Porzucek AJ, Sodeinde A, Garbiel A, Keanna C, Litwak H, Stuber HR, Cantoni JL, Pitzer VE, Olarte Castillo XA, Goodman LB, Wilen CB, Linske MA, Williams SC, Grubaugh ND. Survey of white-footed mice in Connecticut, USA reveals low SARS-CoV-2 seroprevalence and infection with divergent betacoronaviruses. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.22.559030. [PMID: 37808797 PMCID: PMC10557615 DOI: 10.1101/2023.09.22.559030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Diverse mammalian species display susceptibility to and infection with SARS-CoV-2. Potential SARS-CoV-2 spillback into rodents is understudied despite their host role for numerous zoonoses and human proximity. We assessed exposure and infection among white-footed mice (Peromyscus leucopus) in Connecticut, USA. We observed 1% (6/540) wild-type neutralizing antibody seroprevalence among 2020-2022 residential mice with no cross-neutralization of variants. We detected no SARS-CoV-2 infections via RT-qPCR, but identified non-SARS-CoV-2 betacoronavirus infections via pan-coronavirus PCR among 1% (5/468) of residential mice. Sequencing revealed two divergent betacoronaviruses, preliminarily named Peromyscus coronavirus-1 and -2. Both belong to the Betacoronavirus 1 species and are ~90% identical to the closest known relative, Porcine hemagglutinating encephalomyelitis virus. Low SARS-CoV-2 seroprevalence suggests white-footed mice may not be sufficiently susceptible or exposed to SARS-CoV-2 to present a long-term human health risk. However, the discovery of divergent, non-SARS-CoV-2 betacoronaviruses expands the diversity of known rodent coronaviruses and further investigation is required to understand their transmission extent.
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Affiliation(s)
- Rebecca Earnest
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Anne M Hahn
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Nicole M Feriancek
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Matthew Brandt
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Renata B Filler
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT 06520, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Zhe Zhao
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT 06520, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Mallery I Breban
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Chantal B F Vogels
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Nicholas F G Chen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Robert T Koch
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Abbey J Porzucek
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Afeez Sodeinde
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Alexa Garbiel
- Department of Environmental Science and Forestry, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, USA
| | - Claire Keanna
- Department of Environmental Science and Forestry, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, USA
| | - Hannah Litwak
- Department of Environmental Science and Forestry, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, USA
| | - Heidi R Stuber
- Department of Entomology, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, USA
| | - Jamie L Cantoni
- Department of Entomology, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, USA
| | - Virginia E Pitzer
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
| | - Ximena A Olarte Castillo
- Department of Microbiology and Immunology, Cornell University College of Veterinary Medicine, Ithaca, NY 14853
| | - Laura B Goodman
- Department of Public & Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY 14853
| | - Craig B Wilen
- Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT 06520, USA
- Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Megan A Linske
- Department of Entomology, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, USA
| | - Scott C Williams
- Department of Environmental Science and Forestry, The Connecticut Agricultural Experiment Station, New Haven, CT 06511, USA
| | - Nathan D Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06510, USA
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10
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Baumeier C, Harms D, Aleshcheva G, Gross U, Escher F, Schultheiss HP. Advancing Precision Medicine in Myocarditis: Current Status and Future Perspectives in Endomyocardial Biopsy-Based Diagnostics and Therapeutic Approaches. J Clin Med 2023; 12:5050. [PMID: 37568452 PMCID: PMC10419903 DOI: 10.3390/jcm12155050] [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: 06/28/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
The diagnosis and specific and causal treatment of myocarditis and inflammatory cardiomyopathy remain a major clinical challenge. Despite the rapid development of new imaging techniques, endomyocardial biopsies remain the gold standard for accurate diagnosis of inflammatory myocardial disease. With the introduction and continued development of immunohistochemical inflammation diagnostics in combination with viral nucleic acid testing, myocarditis diagnostics have improved significantly since their introduction. Together with new technologies such as miRNA and gene expression profiling, quantification of specific immune cell markers, and determination of viral activity, diagnostic accuracy and patient prognosis will continue to improve in the future. In this review, we summarize the current knowledge on the pathogenesis and diagnosis of myocarditis and inflammatory cardiomyopathies and highlight future perspectives for more in-depth and specialized biopsy diagnostics and precision, personalized medicine approaches.
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Affiliation(s)
- Christian Baumeier
- Institute of Cardiac Diagnostics and Therapy, IKDT GmbH, 12203 Berlin, Germany; (D.H.); (G.A.); (U.G.); (H.-P.S.)
| | - Dominik Harms
- Institute of Cardiac Diagnostics and Therapy, IKDT GmbH, 12203 Berlin, Germany; (D.H.); (G.A.); (U.G.); (H.-P.S.)
- Department of Infectious Diseases, Robert Koch Institute, 13353 Berlin, Germany
| | - Ganna Aleshcheva
- Institute of Cardiac Diagnostics and Therapy, IKDT GmbH, 12203 Berlin, Germany; (D.H.); (G.A.); (U.G.); (H.-P.S.)
| | - Ulrich Gross
- Institute of Cardiac Diagnostics and Therapy, IKDT GmbH, 12203 Berlin, Germany; (D.H.); (G.A.); (U.G.); (H.-P.S.)
| | - Felicitas Escher
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Campus Virchow Klinikum, 13353 Berlin, Germany;
- German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, 10785 Berlin, Germany
| | - Heinz-Peter Schultheiss
- Institute of Cardiac Diagnostics and Therapy, IKDT GmbH, 12203 Berlin, Germany; (D.H.); (G.A.); (U.G.); (H.-P.S.)
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11
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Santus L, Sopena-Rios M, García-Pérez R, Lin AE, Adams GC, Barnes KG, Siddle KJ, Wohl S, Reverter F, Rinn JL, Bennett RS, Hensley LE, Sabeti PC, Melé M. Single-cell profiling of lncRNA expression during Ebola virus infection in rhesus macaques. Nat Commun 2023; 14:3866. [PMID: 37391481 PMCID: PMC10313701 DOI: 10.1038/s41467-023-39627-7] [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: 08/25/2022] [Accepted: 06/19/2023] [Indexed: 07/02/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) are involved in numerous biological processes and are pivotal mediators of the immune response, yet little is known about their properties at the single-cell level. Here, we generate a multi-tissue bulk RNAseq dataset from Ebola virus (EBOV) infected and not-infected rhesus macaques and identified 3979 novel lncRNAs. To profile lncRNA expression dynamics in immune circulating single-cells during EBOV infection, we design a metric, Upsilon, to estimate cell-type specificity. Our analysis reveals that lncRNAs are expressed in fewer cells than protein-coding genes, but they are not expressed at lower levels nor are they more cell-type specific when expressed in the same number of cells. In addition, we observe that lncRNAs exhibit similar changes in expression patterns to those of protein-coding genes during EBOV infection, and are often co-expressed with known immune regulators. A few lncRNAs change expression specifically upon EBOV entry in the cell. This study sheds light on the differential features of lncRNAs and protein-coding genes and paves the way for future single-cell lncRNA studies.
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Affiliation(s)
- Luisa Santus
- Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Catalonia, 08034, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain
| | - Maria Sopena-Rios
- Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Catalonia, 08034, Spain
| | - Raquel García-Pérez
- Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Catalonia, 08034, Spain
| | - Aaron E Lin
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Harvard Program in Virology, Harvard Medical School, Boston, MA, 02115, USA
| | - Gordon C Adams
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Kayla G Barnes
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 02115, USA
- Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| | - Katherine J Siddle
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Shirlee Wohl
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- The Scripps Research Institute, Department of Immunology and Microbiology, La Jolla, CA, USA
| | - Ferran Reverter
- Department of Genetics, Microbiology and Statistics University of Barcelona, Barcelona, Spain
| | - John L Rinn
- Department of Biochemistry, University of Colorado Boulder, Boulder, 80303, USA
| | - Richard S Bennett
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, 21702, USA
| | - Lisa E Hensley
- Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, 21702, USA.
| | - Pardis C Sabeti
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
- Harvard Program in Virology, Harvard Medical School, Boston, MA, 02115, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA.
| | - Marta Melé
- Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Catalonia, 08034, Spain.
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12
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Koh WLC, Poh SE, Lee CK, Chan THM, Yan G, Kong KW, Lau L, Lee WYT, Cheng C, Hoon S, Seow Y. Towards a Rapid-Turnaround Low-Depth Unbiased Metagenomics Sequencing Workflow on the Illumina Platforms. Bioengineering (Basel) 2023; 10:bioengineering10050520. [PMID: 37237590 DOI: 10.3390/bioengineering10050520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/20/2023] [Accepted: 04/21/2023] [Indexed: 05/28/2023] Open
Abstract
Unbiased metagenomic sequencing is conceptually well-suited for first-line diagnosis as all known and unknown infectious entities can be detected, but costs, turnaround time and human background reads in complex biofluids, such as plasma, hinder widespread deployment. Separate preparations of DNA and RNA also increases costs. In this study, we developed a rapid unbiased metagenomics next-generation sequencing (mNGS) workflow with a human background depletion method (HostEL) and a combined DNA/RNA library preparation kit (AmpRE) to address this issue. We enriched and detected bacterial and fungal standards spiked in plasma at physiological levels with low-depth sequencing (<1 million reads) for analytical validation. Clinical validation also showed 93% of plasma samples agreed with the clinical diagnostic test results when the diagnostic qPCR had a Ct < 33. The effect of different sequencing times was evaluated with the 19 h iSeq 100 paired end run, a more clinically palatable simulated iSeq 100 truncated run and the rapid 7 h MiniSeq platform. Our results demonstrate the ability to detect both DNA and RNA pathogens with low-depth sequencing and that iSeq 100 and MiniSeq platforms are compatible with unbiased low-depth metagenomics identification with the HostEL and AmpRE workflow.
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Affiliation(s)
- Winston Lian Chye Koh
- Bioinformatic Institute, A*STAR (Agency for Science, Technology and Research), Singapore 138632, Singapore
| | - Si En Poh
- Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore
| | - Chun Kiat Lee
- Department of Laboratory Medicine, National University Hospital, Singapore 119228, Singapore
| | - Tim Hon Man Chan
- Department of Laboratory Medicine, National University Hospital, Singapore 119228, Singapore
| | - Gabriel Yan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
- Division of Microbiology, Department of Laboratory Medicine, National University Health System, Singapore 119228, Singapore
| | - Kiat Whye Kong
- Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore
| | - Lalita Lau
- Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore
| | | | - Clark Cheng
- Paths Diagnostics Pte Limited, Singapore 349317, Singapore
| | - Shawn Hoon
- Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore
| | - Yiqi Seow
- Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore
- Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), Singapore 138672, Singapore
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13
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Vogels C, Brackney D, Dupuis A, Robich R, Fauver J, Brito A, Williams S, Anderson J, Lubelczyk C, Lange R, Prusinski M, Kramer L, Gangloff-Kaufmann J, Goodman L, Baele G, Smith R, Armstrong P, Ciota A, Dellicour S, Grubaugh N. Phylogeographic reconstruction of the emergence and spread of Powassan virus in the northeastern United States. Proc Natl Acad Sci U S A 2023; 120:e2218012120. [PMID: 37040418 PMCID: PMC10120011 DOI: 10.1073/pnas.2218012120] [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: 10/21/2022] [Accepted: 02/23/2023] [Indexed: 04/12/2023] Open
Abstract
Powassan virus is an emerging tick-borne virus of concern for public health, but very little is known about its transmission patterns and ecology. Here, we expanded the genomic dataset by sequencing 279 Powassan viruses isolated from Ixodes scapularis ticks from the northeastern United States. Our phylogeographic reconstructions revealed that Powassan virus lineage II was likely introduced or emerged from a relict population in the Northeast between 1940 and 1975. Sequences strongly clustered by sampling location, suggesting a highly focal geographical distribution. Our analyses further indicated that Powassan virus lineage II emerged in the northeastern United States mostly following a south-to-north pattern, with a weighted lineage dispersal velocity of ~3 km/y. Since the emergence in the Northeast, we found an overall increase in the effective population size of Powassan virus lineage II, but with growth stagnating during recent years. The cascading effect of population expansion of white-tailed deer and I. scapularis populations likely facilitated the emergence of Powassan virus in the northeastern United States.
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Affiliation(s)
- Chantal B. F. Vogels
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510
| | - Doug E. Brackney
- Center for Vector Biology and Zoonotic Diseases, Department of Entomology, The Connecticut Agricultural Experiment Station, New Haven, CT 06511
| | - Alan P. Dupuis
- The Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159
- Department of Biomedical Sciences, State University of New York at Albany School of Public Health, Albany, NY 12222
| | - Rebecca M. Robich
- Vector-borne Disease Laboratory, MaineHealth Institute for Research, Scarborough, ME 04074
| | - Joseph R. Fauver
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510
- Department of Epidemiology, University of Nebraska Medical Center, Omaha, NE 68198
| | - Anderson F. Brito
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510
- Instituto Todos pela Saúde, São Paulo SP01310-942, Brazil
| | - Scott C. Williams
- Department of Environmental Science and Forestry, The Connecticut Agricultural Experiment Station, New Haven, CT 06511
| | - John F. Anderson
- Center for Vector Biology and Zoonotic Diseases, Department of Entomology, The Connecticut Agricultural Experiment Station, New Haven, CT 06511
| | - Charles B. Lubelczyk
- Vector-borne Disease Laboratory, MaineHealth Institute for Research, Scarborough, ME 04074
| | - Rachel E. Lange
- The Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159
- Department of Biomedical Sciences, State University of New York at Albany School of Public Health, Albany, NY 12222
| | - Melissa A. Prusinski
- New York State Department of Health, Bureau of Communicable Disease Control, Albany, NY 12237
| | - Laura D. Kramer
- The Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159
- Department of Biomedical Sciences, State University of New York at Albany School of Public Health, Albany, NY 12222
| | | | - Laura B. Goodman
- Department of Public and Ecosystem Health, Cornell University, Ithaca, NY 14853
| | - Guy Baele
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven3000, Belgium
| | - Robert P. Smith
- Vector-borne Disease Laboratory, MaineHealth Institute for Research, Scarborough, ME 04074
| | - Philip M. Armstrong
- Center for Vector Biology and Zoonotic Diseases, Department of Entomology, The Connecticut Agricultural Experiment Station, New Haven, CT 06511
| | - Alexander T. Ciota
- The Arbovirus Laboratory, New York State Department of Health, Wadsworth Center, Slingerlands, NY 12159
- Department of Biomedical Sciences, State University of New York at Albany School of Public Health, Albany, NY 12222
| | - Simon Dellicour
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven3000, Belgium
- Spatial Epidemiology Lab, Université Libre de Bruxelles, Brussels1050, Belgium
| | - Nathan D. Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511
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14
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High-depth sequencing characterization of viral dynamics across tissues in fatal COVID-19 reveals compartmentalized infection. Nat Commun 2023; 14:574. [PMID: 36732505 PMCID: PMC9894515 DOI: 10.1038/s41467-022-34256-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 10/17/2022] [Indexed: 02/04/2023] Open
Abstract
SARS-CoV-2 distribution and circulation dynamics are not well understood due to challenges in assessing genomic data from tissue samples. We develop experimental and computational workflows for high-depth viral sequencing and high-resolution genomic analyses from formalin-fixed, paraffin-embedded tissues and apply them to 120 specimens from six subjects with fatal COVID-19. To varying degrees, viral RNA is present in extrapulmonary tissues from all subjects. The majority of the 180 viral variants identified within subjects are unique to individual tissue samples. We find more high-frequency (>10%) minor variants in subjects with a longer disease course, with one subject harboring ten such variants, exclusively in extrapulmonary tissues. One tissue-specific high-frequency variant was a nonsynonymous mutation in the furin-cleavage site of the spike protein. Our findings suggest adaptation and/or compartmentalized infection, illuminating the basis of extrapulmonary COVID-19 symptoms and potential for viral reservoirs, and have broad utility for investigating human pathogens.
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15
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Zhu H, Li X, Chen H, Qian P. Genetic characterization and pathogenicity of a Eurasian avian-like H1N1 swine influenza reassortant virus. Virol J 2022; 19:205. [PMID: 36461007 PMCID: PMC9716174 DOI: 10.1186/s12985-022-01936-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 11/27/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Swine influenza viruses (SIV), considered the "mixing vessels" of influenza viruses, posed a significant threat to global health systems and are dangerous pathogens. Eurasian avian-like H1N1(EA-H1N1) viruses have become predominant in swine populations in China since 2016. METHODS Lung tissue samples were obtained from pregnant sows with miscarriage and respiratory disease in Heilongjiang province, and pathogens were detected by Next-generation sequencing (NGS) and PCR. The nucleic acid of isolates was extracted to detect SIV by RT-PCR. Then, SIV-positive samples were inoculated into embryonated chicken eggs. After successive generations, the isolates were identified by RT-PCR, IFA, WB and TEM. The genetic evolution and pathogenicity to mice of A/swine/Heilongjiang/GN/2020 were analyzed. RESULTS The major pathogens were influenza virus (31%), Simbu orthobunyavirus (15%) and Jingmen tick virus (8%) by NGS, while the pathogen that can cause miscarriage and respiratory disease was influenza virus. The SIV(A/swine/Heilongjiang/GN/2020) with hemagglutination activity was isolated from lung samples and was successfully identified by RT-PCR, IFA, WB and TEM. Homology and phylogenetic analysis showed that A/swine/Heilongjiang/GN/2020 is most closely related to A/swine/Henan/SN/10/2018 and belonged to EA-H1N1. Pathogenicity in mice showed that the EA-H1N1 could cause lethal or exhibit extrapulmonary virus spread and cause severe damage to respiratory tracts effectively proliferating in lung and trachea. CONCLUSION A/swine/Heilongjiang/GN/2020 (EA-H1N1) virus was isolated from pregnant sows with miscarriage and respiratory disease in Heilongjiang province, China. Clinical signs associated with influenza infection were observed during 14 days with A/swine/Heilongjiang/GN/2020 infected mice. These data suggest that A/swine/Heilongjiang/GN/2020 (EA-H1N1) had high pathogenicity and could be systemic spread in mice.
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Affiliation(s)
- Hechao Zhu
- grid.35155.370000 0004 1790 4137State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070 Hubei China ,grid.35155.370000 0004 1790 4137Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070 Hubei China
| | - Xiangmin Li
- grid.35155.370000 0004 1790 4137State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070 Hubei China ,grid.35155.370000 0004 1790 4137College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China ,grid.35155.370000 0004 1790 4137Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070 Hubei China
| | - Huanchun Chen
- grid.35155.370000 0004 1790 4137State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070 Hubei China ,grid.35155.370000 0004 1790 4137College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China ,grid.35155.370000 0004 1790 4137Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070 Hubei China
| | - Ping Qian
- grid.35155.370000 0004 1790 4137State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070 Hubei China ,grid.35155.370000 0004 1790 4137College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China ,grid.35155.370000 0004 1790 4137Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070 Hubei China
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16
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Sandybayev N, Beloussov V, Strochkov V, Solomadin M, Granica J, Yegorov S. Next Generation Sequencing Approaches to Characterize the Respiratory Tract Virome. Microorganisms 2022; 10:microorganisms10122327. [PMID: 36557580 PMCID: PMC9785614 DOI: 10.3390/microorganisms10122327] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/17/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022] Open
Abstract
The COVID-19 pandemic and heightened perception of the risk of emerging viral infections have boosted the efforts to better understand the virome or complete repertoire of viruses in health and disease, with a focus on infectious respiratory diseases. Next-generation sequencing (NGS) is widely used to study microorganisms, allowing the elucidation of bacteria and viruses inhabiting different body systems and identifying new pathogens. However, NGS studies suffer from a lack of standardization, in particular, due to various methodological approaches and no single format for processing the results. Here, we review the main methodological approaches and key stages for studies of the human virome, with an emphasis on virome changes during acute respiratory viral infection, with applications for clinical diagnostics and epidemiologic analyses.
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Affiliation(s)
- Nurlan Sandybayev
- Kazakhstan-Japan Innovation Center, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan
- Correspondence: ; Tel.: +7-778312-2058
| | - Vyacheslav Beloussov
- Kazakhstan-Japan Innovation Center, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan
- Molecular Genetics Laboratory TreeGene, Almaty 050009, Kazakhstan
| | - Vitaliy Strochkov
- Kazakhstan-Japan Innovation Center, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan
| | - Maxim Solomadin
- School of Pharmacy, Karaganda Medical University, Karaganda 100000, Kazakhstan
| | - Joanna Granica
- Molecular Genetics Laboratory TreeGene, Almaty 050009, Kazakhstan
| | - Sergey Yegorov
- Michael G. DeGroote Institute for Infectious Disease Research, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4LB, Canada
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17
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Fomsgaard AS, Rasmussen M, Spiess K, Fomsgaard A, Belsham GJ, Fonager J. Improvements in metagenomic virus detection by simple pretreatment methods. JOURNAL OF CLINICAL VIROLOGY PLUS 2022; 2:100120. [PMID: 36945677 PMCID: PMC10024160 DOI: 10.1016/j.jcvp.2022.100120] [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: 03/20/2022] [Revised: 09/26/2022] [Accepted: 10/24/2022] [Indexed: 11/21/2022] Open
Abstract
Early detection of pathogens at the point of care helps reduce the threats to human and animal health from emerging pathogens. Initially, the disease-causing agent will be unknown and needs to be identified; this often requires specific laboratory facilities. Here we describe the development of an unbiased detection assay for RNA and DNA viruses using metagenomic Nanopore sequencing and simple methods that can be transferred into a field setting. Human clinical samples containing the RNA virus SARS-CoV-2 or the DNA viruses human papillomavirus (HPV) and molluscum contagiosum virus (MCV) were used as a test of concept. Firstly, the virus detection potential was optimized by investigating different pretreatments for reducing non-viral nucleic acid components. DNase I pretreatment followed by filtration increased the proportion of SARS-CoV-2 sequenced reads > 500-fold compared with no pretreatments. This was sufficient to achieve virus detection with high confidence and allowed variant identification. Next, we tested individual SARS-CoV-2 samples with various viral loads (measured as CT-values determined by RT-qPCR). Lastly, we tested the assay on clinical samples containing the DNA virus HPV and co-infection with MCV to show the assay's detection potential for DNA viruses. This protocol is fast (same day results). We hope to apply this method in other settings for point of care detection of virus pathogens, thus eliminating the need for transport of infectious samples, cold storage and a specialized laboratory.
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Affiliation(s)
- Anna S. Fomsgaard
- Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, 5 Artillerivej, DK-2300 Copenhagen, Denmark
- Department of Veterinary and Animal Sciences, University of Copenhagen, 4 Stigboejlen, 1870 Frederiksberg, Denmark
- Corresponding author.
| | - Morten Rasmussen
- Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, 5 Artillerivej, DK-2300 Copenhagen, Denmark
| | - Katja Spiess
- Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, 5 Artillerivej, DK-2300 Copenhagen, Denmark
| | - Anders Fomsgaard
- Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, 5 Artillerivej, DK-2300 Copenhagen, Denmark
| | - Graham J. Belsham
- Department of Veterinary and Animal Sciences, University of Copenhagen, 4 Stigboejlen, 1870 Frederiksberg, Denmark
| | - Jannik Fonager
- Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, 5 Artillerivej, DK-2300 Copenhagen, Denmark
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18
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Parris DJ, Kariithi H, Suarez DL. Non-target RNA depletion strategy to improve sensitivity of next-generation sequencing for the detection of RNA viruses in poultry. J Vet Diagn Invest 2022; 34:638-645. [PMID: 35791437 PMCID: PMC9266509 DOI: 10.1177/10406387221102430] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/23/2023] Open
Abstract
PCR-based assays have become the benchmark for detecting pathogens of poultry and other livestock; however, these techniques are limited in their ability to detect multiple infecting agents, provide limited genetic information on the pathogen, and, for RNA viruses, must be reviewed frequently to assure high sensitivity and specificity. In contrast, untargeted, high-throughput sequencing can rapidly detect all infecting agents in a sample while providing genomic sequence information to allow more in-depth characterization of viruses. Although next-generation sequencing (NGS) offers many advantages, one of its primary limitations is low sensitivity to pathogens given the abundance of host and other non-target sequences in sequencing libraries. We explored methods for improving the sensitivity of NGS to detect respiratory and enteric viruses in poultry from RNA extracts of swab samples. We employed commercial and custom-designed negative enrichment strategies to selectively deplete the most abundant rRNA reads from the host and non-target bacteria; host RNA was diminished from up to 40% of total reads to as low as 3%, and the total number of reads assigned to abundant bacterial classes were reduced greatly. Our treatment resulted in up to a 700-fold increase in the number of viral reads, detection of a greater number of viral agents, and higher average genome coverage for pathogens. Depletion assays added only 2 h to the NGS library preparation workflow. Custom depletion probe design offered significant cost savings (US$7-12 per sample) compared to commercial kits (US$30-50 per sample).
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Affiliation(s)
| | | | - David L. Suarez
- David L. Suarez, Southeast
Poultry Research Laboratory, U.S. National Poultry Research Center, Agricultural
Research Service, USDA, 934 College Station Rd, Athens, GA 30605,
USA.
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19
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Welch NL, Zhu M, Hua C, Weller J, Mirhashemi ME, Nguyen TG, Mantena S, Bauer MR, Shaw BM, Ackerman CM, Thakku SG, Tse MW, Kehe J, Uwera MM, Eversley JS, Bielwaski DA, McGrath G, Braidt J, Johnson J, Cerrato F, Moreno GK, Krasilnikova LA, Petros BA, Gionet GL, King E, Huard RC, Jalbert SK, Cleary ML, Fitzgerald NA, Gabriel SB, Gallagher GR, Smole SC, Madoff LC, Brown CM, Keller MW, Wilson MM, Kirby MK, Barnes JR, Park DJ, Siddle KJ, Happi CT, Hung DT, Springer M, MacInnis BL, Lemieux JE, Rosenberg E, Branda JA, Blainey PC, Sabeti PC, Myhrvold C. Multiplexed CRISPR-based microfluidic platform for clinical testing of respiratory viruses and identification of SARS-CoV-2 variants. Nat Med 2022; 28:1083-1094. [PMID: 35130561 PMCID: PMC9117129 DOI: 10.1038/s41591-022-01734-1] [Citation(s) in RCA: 103] [Impact Index Per Article: 51.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/03/2022] [Indexed: 11/23/2022]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has demonstrated a clear need for high-throughput, multiplexed and sensitive assays for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other respiratory viruses and their emerging variants. Here, we present a cost-effective virus and variant detection platform, called microfluidic Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (mCARMEN), which combines CRISPR-based diagnostics and microfluidics with a streamlined workflow for clinical use. We developed the mCARMEN respiratory virus panel to test for up to 21 viruses, including SARS-CoV-2, other coronaviruses and both influenza strains, and demonstrated its diagnostic-grade performance on 525 patient specimens in an academic setting and 166 specimens in a clinical setting. We further developed an mCARMEN panel to enable the identification of 6 SARS-CoV-2 variant lineages, including Delta and Omicron, and evaluated it on 2,088 patient specimens with near-perfect concordance to sequencing-based variant classification. Lastly, we implemented a combined Cas13 and Cas12 approach that enables quantitative measurement of SARS-CoV-2 and influenza A viral copies in samples. The mCARMEN platform enables high-throughput surveillance of multiple viruses and variants simultaneously, enabling rapid detection of SARS-CoV-2 variants.
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Affiliation(s)
- Nicole L Welch
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Program in Virology, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA.
| | - Meilin Zhu
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Catherine Hua
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Juliane Weller
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | | | - Tien G Nguyen
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Matthew R Bauer
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Bennett M Shaw
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Cheri M Ackerman
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Sri Gowtham Thakku
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Health Sciences and Technology, Harvard Medical School and Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Megan W Tse
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jared Kehe
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Jacqueline S Eversley
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Derek A Bielwaski
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Graham McGrath
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Joseph Braidt
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | | | - Gage K Moreno
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lydia A Krasilnikova
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Brittany A Petros
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Health Sciences and Technology, Harvard Medical School and Massachusetts Institute of Technology, Cambridge, MA, USA
- Harvard/Massachusetts Institute of Technology MD-PhD Program, Harvard Medical School, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | | | - Ewa King
- State Health Laboratories, Rhode Island Department of Health, Providence, RI, USA
| | - Richard C Huard
- State Health Laboratories, Rhode Island Department of Health, Providence, RI, USA
| | | | - Michael L Cleary
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | | | | | | | - Sandra C Smole
- Massachusetts Department of Public Health, Boston, MA, USA
| | | | | | - Matthew W Keller
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Malania M Wilson
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Marie K Kirby
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - John R Barnes
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Daniel J Park
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Katherine J Siddle
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Christian T Happi
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer's University, Ede, Nigeria
- Department of Biological Sciences, College of Natural Sciences, Redeemer's University, Ede, Nigeria
| | - Deborah T Hung
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Molecular Biology Department and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Michael Springer
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Bronwyn L MacInnis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jacob E Lemieux
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Eric Rosenberg
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - John A Branda
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul C Blainey
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research at Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Pardis C Sabeti
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
- Koch Institute for Integrative Cancer Research at Massachusetts Institute of Technology, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
| | - Cameron Myhrvold
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA.
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20
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Jia X, Zhang X, Ling Y, Zhang X, Tian D, Liao Y, Yi Z, Lu H. Application of nanopore sequencing in diagnosis of secondary infections in patients with severe COVID-19. Zhejiang Da Xue Xue Bao Yi Xue Ban 2021; 50:748-754. [PMID: 35347908 PMCID: PMC8931600 DOI: 10.3724/zdxbyxb-2021-0158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 10/10/2021] [Indexed: 06/14/2023]
Abstract
To explore the application value of nanopore sequencing technique in the diagnosis and treatment of secondary infections in patients with severe coronavirus disease 2019 (COVID-19). A total of 77 clinical specimens from 3 patients with severe COVID-19 were collected. After heat inactivation, all samples were subjected to total nucleic acid extraction based on magnetic bead enrichment. The extracted DNA was used for DNA library construction, then nanopore real-time sequencing detection was performed. The sequencing data were subjected to Centrifuge software database species matching and R program differential analysis to obtain potential pathogen identification. Nanopore sequencing results were compared with respiratory pathogen qPCR panel screening and conventional microbiological testing results to verify the effectiveness of nanopore sequencing detection. Nanopore sequencing results showed that positive pathogen were obtained in 44 specimens (57.1%). The potential pathogens identified by nanopore sequencing included , , and , et al. , , were also detected in clinical microbiological culture-based detection; was detected in respiratory pathogen screening qPCR panel; was only detected by the nanopore sequencing technique. Comprehensive considerations with the clinical symptoms, the patient was treated with antibiotics against , and the infection was controlled. Nanopore sequencing may assist the diagnosis and treatment of severe COVID-19 patients through rapid identification of potential pathogens.
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Affiliation(s)
- Xiaofang Jia
- 1. Scientific Research Department, Shanghai Public Health Clinical Center, Shanghai 201508, China
| | - Xiaonan Zhang
- 1. Scientific Research Department, Shanghai Public Health Clinical Center, Shanghai 201508, China
| | - Yun Ling
- 2. Infectious Disease Department, Shanghai Public Health Clinical Center, Shanghai 201508, China
| | - Xinyu Zhang
- 1. Scientific Research Department, Shanghai Public Health Clinical Center, Shanghai 201508, China
| | - Di Tian
- 1. Scientific Research Department, Shanghai Public Health Clinical Center, Shanghai 201508, China
| | - Yixin Liao
- 1. Scientific Research Department, Shanghai Public Health Clinical Center, Shanghai 201508, China
| | - Zhigang Yi
- 1. Scientific Research Department, Shanghai Public Health Clinical Center, Shanghai 201508, China
| | - Hongzhou Lu
- 3. Department of Infection and Immunology, Shanghai Public Health Clinical Center, Shanghai 201508, China
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21
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Lagerborg KA, Normandin E, Bauer MR, Adams G, Figueroa K, Loreth C, Gladden-Young A, Shaw BM, Pearlman LR, Berenzy D, Dewey HB, Kales S, Dobbins ST, Shenoy ES, Hooper D, Pierce VM, Zachary KC, Park DJ, MacInnis BL, Tewhey R, Lemieux JE, Sabeti PC, Reilly SK, Siddle KJ. Synthetic DNA spike-ins (SDSIs) enable sample tracking and detection of inter-sample contamination in SARS-CoV-2 sequencing workflows. Nat Microbiol 2021; 7:108-119. [PMID: 34907347 DOI: 10.1038/s41564-021-01019-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 11/10/2021] [Indexed: 12/17/2022]
Abstract
The global spread and continued evolution of SARS-CoV-2 has driven an unprecedented surge in viral genomic surveillance. Amplicon-based sequencing methods provide a sensitive, low-cost and rapid approach but suffer a high potential for contamination, which can undermine laboratory processes and results. This challenge will increase with the expanding global production of sequences across a variety of laboratories for epidemiological and clinical interpretation, as well as for genomic surveillance of emerging diseases in future outbreaks. We present SDSI + AmpSeq, an approach that uses 96 synthetic DNA spike-ins (SDSIs) to track samples and detect inter-sample contamination throughout the sequencing workflow. We apply SDSIs to the ARTIC Consortium's amplicon design, demonstrate their utility and efficiency in a real-time investigation of a suspected hospital cluster of SARS-CoV-2 cases and validate them across 6,676 diagnostic samples at multiple laboratories. We establish that SDSI + AmpSeq provides increased confidence in genomic data by detecting and correcting for relatively common, yet previously unobserved modes of error, including spillover and sample swaps, without impacting genome recovery.
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Affiliation(s)
- Kim A Lagerborg
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Harvard Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Erica Normandin
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Matthew R Bauer
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Harvard Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Gordon Adams
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | | | | | - Bennett M Shaw
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | | | | | | | | | | | - Erica S Shenoy
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - David Hooper
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Virginia M Pierce
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.,Pediatric Infectious Disease Unit, MassGeneral Hospital for Children, Boston, MA, USA.,Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Kimon C Zachary
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,Infection Control Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel J Park
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Bronwyn L MacInnis
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA
| | - Ryan Tewhey
- The Jackson Laboratory, Bar Harbor, ME, USA.,Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME, USA.,Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA
| | - Jacob E Lemieux
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Pardis C Sabeti
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Systems Biology, Harvard Medical School, Boston, MA, USA.,Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Steven K Reilly
- Broad Institute of Harvard and MIT, Cambridge, MA, USA. .,Department of Genetics, Yale School of Medicine, New Haven, CT, USA.
| | - Katherine J Siddle
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Systems Biology, Harvard Medical School, Boston, MA, USA
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22
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Liu D, Zhou H, Xu T, Yang Q, Mo X, Shi D, Ai J, Zhang J, Tao Y, Wen D, Tong Y, Ren L, Zhang W, Xie S, Chen W, Xing W, Zhao J, Wu Y, Meng X, Ouyang C, Jiang Z, Liang Z, Tan H, Fang Y, Qin N, Guan Y, Gai W, Xu S, Wu W, Zhang W, Zhang C, Wang Y. Multicenter assessment of shotgun metagenomics for pathogen detection. EBioMedicine 2021; 74:103649. [PMID: 34814051 PMCID: PMC8608867 DOI: 10.1016/j.ebiom.2021.103649] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 10/11/2021] [Accepted: 10/11/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Shotgun metagenomics has been used clinically for diagnosing infectious diseases. However, most technical assessments have been limited to individual sets of reference standards, experimental workflows, and laboratories. METHODS A reference panel and performance metrics were designed and used to examine the performance of shotgun metagenomics at 17 laboratories in a coordinated collaborative study. We comprehensively assessed the reliability, key performance determinants, reproducibility, and quantitative potential. FINDINGS Assay performance varied significantly across sites and microbial classes, with a read depth of 20 millions as a generally cost-efficient assay setting. Results of mapped reads by shotgun metagenomics could indicate relative and intra-site (but not absolute or inter-site) microbial abundance. INTERPRETATION Assay performance was significantly impacted by the microbial type, the host context, and read depth, which emphasizes the importance of these factors when designing reference reagents and benchmarking studies. Across sites, workflows and platforms, false positive reporting and considerable site/library effects were common challenges to the assay's accuracy and quantifiability. Our study also suggested that laboratory-developed shotgun metagenomics tests for pathogen detection should aim to detect microbes at 500 CFU/mL (or copies/mL) in a clinically relevant host context (10^5 human cells/mL) within a 24h turn-around time, and with an efficient read depth of 20M. FUNDING This work was supported by National Science and Technology Major Project of China (2018ZX10102001).
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Affiliation(s)
- Donglai Liu
- National Institutes for Food and Drug Control, Beijing 100050, China
| | - Haiwei Zhou
- National Institutes for Food and Drug Control, Beijing 100050, China
| | - Teng Xu
- Key Laboratory of Animal Gene Editing and Animal Cloning in Yunnan Province and College of Veterinary Medicine, Yunnan Agricultural University, Kunming 650201, China
| | - Qiwen Yang
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xi Mo
- The Laboratory of Pediatric Infectious Diseases, Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Dawei Shi
- National Institutes for Food and Drug Control, Beijing 100050, China
| | - Jingwen Ai
- Department of Infectious Diseases, Huashan Hospital affiliated to Fudan University, Shanghai 200040, China
| | - Jingjia Zhang
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yue Tao
- The Laboratory of Pediatric Infectious Diseases, Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Donghua Wen
- Department of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200123, PR China
| | - Yigang Tong
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering (BAIC-SM), College of Life Science and Technology, Beijing University of Chemical Technology. Beijing 100029
| | - Lili Ren
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, PR China; Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, PR China
| | - Wen Zhang
- State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing 102206, China
| | - Shumei Xie
- Vision Medicals Center for Infectious Diseases, Guangzhou, Guangdong 510000, China
| | - Weijun Chen
- BGI PathoGenesis Pharmaceutical Technology, BGI-Shenzhen, Shenzhen 518083, China
| | - Wanli Xing
- School of Medicine Tsinghua University, Beijing, China; CapitalBio Technology Co., Ltd., Yizhuang Biomedical Park Beijing, China
| | - Jinyin Zhao
- Dalian GenTalker Clinical Laboratory, Dalian 116635, China
| | - Yilan Wu
- Guangzhou Sagene Biotech Co., Ltd., Guangzhou, China
| | - Xianfa Meng
- Guangzhou Kingmed Diagnostics, Guangzhou, Guangdong 510330, China
| | - Chuan Ouyang
- Hangzhou MatriDx Biotechnology Co., Ltd, Hangzhou, China
| | - Zhi Jiang
- Genskey Medical Technology, Co., Ltd., Beijing 102206, China
| | - Zhikun Liang
- Guangzhou Darui Biotechnology, Co., Ltd., Guangzhou 510663, China
| | - Haiqin Tan
- Hangzhou IngeniGen XunMinKang Biotechnology Co., Ltd., Hangzhou 311121, China
| | - Yuan Fang
- Dinfectome Inc, Shanghai 201321, China
| | - Nan Qin
- Realbio Genomics Institute, Shanghai 201114, China
| | | | - Wei Gai
- WillingMed Technology Beijing Co., Ltd., Beijing, China
| | - Sihong Xu
- National Institutes for Food and Drug Control, Beijing 100050, China.
| | - Wenjuan Wu
- Department of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200123, PR China.
| | - Wenhong Zhang
- Department of Infectious Diseases, Huashan Hospital affiliated to Fudan University, Shanghai 200040, China.
| | - Chuntao Zhang
- National Institutes for Food and Drug Control, Beijing 100050, China.
| | - Youchun Wang
- National Institutes for Food and Drug Control, Beijing 100050, China.
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23
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Intrathecal inflammatory responses in the absence of SARS-CoV-2 nucleic acid in the CSF of COVID-19 hospitalized patients. J Neurol Sci 2021; 430:120023. [PMID: 34678659 PMCID: PMC8489278 DOI: 10.1016/j.jns.2021.120023] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 09/06/2021] [Accepted: 09/30/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Little is known about CSF profiles in patients with acute COVID-19 infection and neurological symptoms. Here, CSF was tested for SARS-CoV-2 RNA and inflammatory cytokines and chemokines and compared to controls and patients with known neurotropic pathogens. METHODS CSF from twenty-seven consecutive patients with COVID-19 and neurological symptoms was assayed for SARS-CoV-2 RNA using quantitative reverse transcription PCR (RT-qPCR) and unbiased metagenomic sequencing. Assays for blood brain barrier (BBB) breakdown (CSF:serum albumin ratio (Q-Alb)), and proinflammatory cytokines and chemokines (IL-6, IL-8, IL-15, IL-16, monocyte chemoattractant protein -1 (MCP-1) and monocyte inhibitory protein - 1β (MIP-1β)) were performed in 23 patients and compared to CSF from patients with HIV-1 (16 virally suppressed, 5 unsuppressed), West Nile virus (WNV) (n = 4) and 16 healthy controls (HC). RESULTS Median CSF cell count for COVID-19 patients was 1 white blood cell/μL; two patients were infected with a second pathogen (Neisseria, Cryptococcus neoformans). No CSF samples had detectable SARS-CoV-2 RNA by either detection method. In patients with COVID-19 only, CSF IL-6, IL-8, IL-15, and MIP-1β levels were higher than HC and suppressed HIV (corrected-p < 0.05). MCP-1 and MIP-1β levels were higher, while IL-6, IL-8, IL-15 were similar in COVID-19 compared to WNV patients. Q-Alb correlated with all proinflammatory markers, with IL-6, IL-8, and MIP-1β (r ≥ 0.6, p < 0.01) demonstrating the strongest associations. CONCLUSIONS Lack of SARS-CoV-2 RNA in CSF is consistent with pre-existing literature. Evidence of intrathecal proinflammatory markers in a subset of COVID-19 patients with BBB breakdown despite minimal CSF pleocytosis is atypical for neurotropic pathogens.
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A novel SARS-CoV-2 related coronavirus in bats from Cambodia. Nat Commun 2021; 12:6563. [PMID: 34753934 PMCID: PMC8578604 DOI: 10.1038/s41467-021-26809-4] [Citation(s) in RCA: 99] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 10/14/2021] [Indexed: 01/31/2023] Open
Abstract
Knowledge of the origin and reservoir of the coronavirus responsible for the ongoing COVID-19 pandemic is still fragmentary. To date, the closest relatives to SARS-CoV-2 have been detected in Rhinolophus bats sampled in the Yunnan province, China. Here we describe the identification of SARS-CoV-2 related coronaviruses in two Rhinolophus shameli bats sampled in Cambodia in 2010. Metagenomic sequencing identifies nearly identical viruses sharing 92.6% nucleotide identity with SARS-CoV-2. Most genomic regions are closely related to SARS-CoV-2, with the exception of a region of the spike, which is not compatible with human ACE2-mediated entry. The discovery of these viruses in a bat species not found in China indicates that SARS-CoV-2 related viruses have a much wider geographic distribution than previously reported, and suggests that Southeast Asia represents a key area to consider for future surveillance for coronaviruses. In this study, Delaune et al., isolate and characterise a SARS-CoV-2-related coronavirus from two bats sampled in Cambodia. Their findings suggest that the geographic distribution of SARS-CoV-2-related viruses is wider than previously reported.
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25
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Delaune D, Hul V, Karlsson EA, Hassanin A, Ou TP, Baidaliuk A, Gámbaro F, Prot M, Tu VT, Chea S, Keatts L, Mazet J, Johnson CK, Buchy P, Dussart P, Goldstein T, Simon-Lorière E, Duong V. A novel SARS-CoV-2 related coronavirus in bats from Cambodia. Nat Commun 2021; 12:6563. [PMID: 34753934 DOI: 10.1101/2021.01.26.428212] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 10/14/2021] [Indexed: 05/21/2023] Open
Abstract
Knowledge of the origin and reservoir of the coronavirus responsible for the ongoing COVID-19 pandemic is still fragmentary. To date, the closest relatives to SARS-CoV-2 have been detected in Rhinolophus bats sampled in the Yunnan province, China. Here we describe the identification of SARS-CoV-2 related coronaviruses in two Rhinolophus shameli bats sampled in Cambodia in 2010. Metagenomic sequencing identifies nearly identical viruses sharing 92.6% nucleotide identity with SARS-CoV-2. Most genomic regions are closely related to SARS-CoV-2, with the exception of a region of the spike, which is not compatible with human ACE2-mediated entry. The discovery of these viruses in a bat species not found in China indicates that SARS-CoV-2 related viruses have a much wider geographic distribution than previously reported, and suggests that Southeast Asia represents a key area to consider for future surveillance for coronaviruses.
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Affiliation(s)
- Deborah Delaune
- Evolutionary Genomics of RNA Viruses, Department of Virology, Institut Pasteur, Paris, France
- Institut de Recherche Biomédicale des Armées, Brétigny-sur-Orge, France
- Université Paris-Saclay, Orsay, France
| | - Vibol Hul
- Virology Unit, Institut Pasteur du Cambodge, Institut Pasteur International Network, Phnom Penh, Cambodia
- UVE: Aix-Marseille Univ-IRD 190-Inserm, 1207, Marseille, France
| | - Erik A Karlsson
- Virology Unit, Institut Pasteur du Cambodge, Institut Pasteur International Network, Phnom Penh, Cambodia
| | - Alexandre Hassanin
- Institut de Systématique, Évolution, Biodiversité, Sorbonne Université, MNHN, CNRS, EPHE, UA, Paris, France
| | - Tey Putita Ou
- Virology Unit, Institut Pasteur du Cambodge, Institut Pasteur International Network, Phnom Penh, Cambodia
| | - Artem Baidaliuk
- Evolutionary Genomics of RNA Viruses, Department of Virology, Institut Pasteur, Paris, France
| | - Fabiana Gámbaro
- Evolutionary Genomics of RNA Viruses, Department of Virology, Institut Pasteur, Paris, France
- Université de Paris, Sorbonne Paris Cité, Paris, France
| | - Matthieu Prot
- Evolutionary Genomics of RNA Viruses, Department of Virology, Institut Pasteur, Paris, France
| | - Vuong Tan Tu
- Institut de Systématique, Évolution, Biodiversité, Sorbonne Université, MNHN, CNRS, EPHE, UA, Paris, France
- Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology, Hanoi, Vietnam
| | - Sokha Chea
- Wildlife Conservation Society, Cambodia Program, Phnom Penh, Cambodia
| | - Lucy Keatts
- Wildlife Conservation Society, Health Program, Bronx, NY, USA
- One Health Institute, School of Veterinary Medicine, University of California, Davis, USA
| | - Jonna Mazet
- One Health Institute, School of Veterinary Medicine, University of California, Davis, USA
| | - Christine K Johnson
- One Health Institute, School of Veterinary Medicine, University of California, Davis, USA
| | - Philippe Buchy
- Virology Unit, Institut Pasteur du Cambodge, Institut Pasteur International Network, Phnom Penh, Cambodia
- GlaxoSmithKline Vaccines R&D Greater China & Intercontinental, Singapore, Singapore
| | - Philippe Dussart
- Virology Unit, Institut Pasteur du Cambodge, Institut Pasteur International Network, Phnom Penh, Cambodia
- Virology Unit, Institut Pasteur de Madagascar, Institut Pasteur International Network, Antananarivo, Madagascar
| | - Tracey Goldstein
- One Health Institute, School of Veterinary Medicine, University of California, Davis, USA
| | - Etienne Simon-Lorière
- Evolutionary Genomics of RNA Viruses, Department of Virology, Institut Pasteur, Paris, France.
| | - Veasna Duong
- Virology Unit, Institut Pasteur du Cambodge, Institut Pasteur International Network, Phnom Penh, Cambodia.
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Genomic surveillance of enterovirus associated with aseptic meningitis cases in southern Spain, 2015-2018. Sci Rep 2021; 11:21523. [PMID: 34728763 PMCID: PMC8564535 DOI: 10.1038/s41598-021-01053-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 10/20/2021] [Indexed: 12/12/2022] Open
Abstract
New circulating Enterovirus (EV) strains often emerge through recombination. Upsurges of recombinant non-polio enteroviruses (NPEVs) associated with neurologic manifestations such as EVA71 or Echovirus 30 (E30) are a growing public health concern in Europe. Only a few complete genomes of EVs circulating in Spain are available in public databases, making it difficult to address the emergence of recombinant EVs, understand their evolutionary relatedness and the possible implication in human disease. We have used metagenomic (untargeted) NGS to generate full-length EV genomes from CSF samples of EV-positive aseptic meningitis cases in Southern Spain between 2015 and 2018. Our analyses reveal the co-circulation of multiple Enterovirus B (EV-B) types (E6, E11, E13 and E30), including a novel E13 recombinant form. We observed a genetic turnover where emergent lineages (C1 for E6 and I [tentatively proposed in this study] for E30) replaced previous lineages circulating in Spain, some concomitant with outbreaks in other parts of Europe. Metagenomic sequencing provides an effective approach for the analysis of EV genomes directly from PCR-positive CSF samples. The detection of a novel, disease-associated, recombinant form emphasizes the importance of genomic surveillance to monitor spread and evolution of EVs.
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27
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Calvignac-Spencer S, Düx A, Gogarten JF, Patrono LV. Molecular archeology of human viruses. Adv Virus Res 2021; 111:31-61. [PMID: 34663498 DOI: 10.1016/bs.aivir.2021.07.002] [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: 02/07/2023]
Abstract
The evolution of human-virus associations is usually reconstructed from contemporary patterns of genomic diversity. An intriguing, though still rarely implemented, alternative is to search for the genetic material of viruses in archeological and medical archive specimens to document evolution as it happened. In this chapter, we present lessons from ancient DNA research and incorporate insights from virology to explore the potential range of applications and likely limitations of archeovirological approaches. We also highlight the numerous questions archeovirology will hopefully allow us to tackle in the near future, and the main expected roadblocks to these avenues of research.
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Affiliation(s)
- Sébastien Calvignac-Spencer
- Epidemiology of Highly Pathogenic Microorganisms, Robert Koch-Institute, Berlin, Germany; Viral Evolution, Robert Koch-Institute, Berlin, Germany.
| | - Ariane Düx
- Epidemiology of Highly Pathogenic Microorganisms, Robert Koch-Institute, Berlin, Germany; Viral Evolution, Robert Koch-Institute, Berlin, Germany
| | - Jan F Gogarten
- Epidemiology of Highly Pathogenic Microorganisms, Robert Koch-Institute, Berlin, Germany; Viral Evolution, Robert Koch-Institute, Berlin, Germany
| | - Livia V Patrono
- Epidemiology of Highly Pathogenic Microorganisms, Robert Koch-Institute, Berlin, Germany
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28
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Utilizing the VirIdAl Pipeline to Search for Viruses in the Metagenomic Data of Bat Samples. Viruses 2021; 13:v13102006. [PMID: 34696436 PMCID: PMC8541124 DOI: 10.3390/v13102006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 09/30/2021] [Accepted: 10/02/2021] [Indexed: 12/27/2022] Open
Abstract
According to various estimates, only a small percentage of existing viruses have been discovered, naturally much less being represented in the genomic databases. High-throughput sequencing technologies develop rapidly, empowering large-scale screening of various biological samples for the presence of pathogen-associated nucleotide sequences, but many organisms are yet to be attributed specific loci for identification. This problem particularly impedes viral screening, due to vast heterogeneity in viral genomes. In this paper, we present a new bioinformatic pipeline, VirIdAl, for detecting and identifying viral pathogens in sequencing data. We also demonstrate the utility of the new software by applying it to viral screening of the feces of bats collected in the Moscow region, which revealed a significant variety of viruses associated with bats, insects, plants, and protozoa. The presence of alpha and beta coronavirus reads, including the MERS-like bat virus, deserves a special mention, as it once again indicates that bats are indeed reservoirs for many viral pathogens. In addition, it was shown that alignment-based methods were unable to identify the taxon for a large proportion of reads, and we additionally applied other approaches, showing that they can further reveal the presence of viral agents in sequencing data. However, the incompleteness of viral databases remains a significant problem in the studies of viral diversity, and therefore necessitates the use of combined approaches, including those based on machine learning methods.
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29
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Piantadosi A, Mukerji SS, Ye S, Leone MJ, Freimark LM, Park D, Adams G, Lemieux J, Kanjilal S, Solomon IH, Ahmed AA, Goldstein R, Ganesh V, Ostrem B, Cummins KC, Thon JM, Kinsella CM, Rosenberg E, Frosch MP, Goldberg MB, Cho TA, Sabeti P. Enhanced Virus Detection and Metagenomic Sequencing in Patients with Meningitis and Encephalitis. mBio 2021; 12:e0114321. [PMID: 34465023 PMCID: PMC8406231 DOI: 10.1128/mbio.01143-21] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 07/02/2021] [Indexed: 01/21/2023] Open
Abstract
Meningitis and encephalitis are leading causes of central nervous system (CNS) disease and often result in severe neurological compromise or death. Traditional diagnostic workflows largely rely on pathogen-specific tests, sometimes over days to weeks, whereas metagenomic next-generation sequencing (mNGS) profiles all nucleic acid in a sample. In this single-center, prospective study, 68 hospitalized patients with known (n = 44) or suspected (n = 24) CNS infections underwent mNGS from RNA and DNA to identify potential pathogens and also targeted sequencing of viruses using hybrid capture. Using a computational metagenomic classification pipeline based on KrakenUniq and BLAST, we detected pathogen nucleic acid in cerebrospinal fluid (CSF) from 22 subjects, 3 of whom had no clinical diagnosis by routine workup. Among subjects diagnosed with infection by serology and/or peripheral samples, we demonstrated the utility of mNGS to detect pathogen nucleic acid in CSF, importantly for the Ixodes scapularis tick-borne pathogens Powassan virus, Borrelia burgdorferi, and Anaplasma phagocytophilum. We also evaluated two methods to enhance the detection of viral nucleic acid, hybrid capture and methylated DNA depletion. Hybrid capture nearly universally increased viral read recovery. Although results for methylated DNA depletion were mixed, it allowed the detection of varicella-zoster virus DNA in two samples that were negative by standard mNGS. Overall, mNGS is a promising approach that can test for multiple pathogens simultaneously, with efficacy similar to that of pathogen-specific tests, and can uncover geographically relevant infectious CNS disease, such as tick-borne infections in New England. With further laboratory and computational enhancements, mNGS may become a mainstay of workup for encephalitis and meningitis. IMPORTANCE Meningitis and encephalitis are leading global causes of central nervous system (CNS) disability and mortality. Current diagnostic workflows remain inefficient, requiring costly pathogen-specific assays and sometimes invasive surgical procedures. Despite intensive diagnostic efforts, 40 to 60% of people with meningitis or encephalitis have no clear cause of CNS disease identified. As diagnostic uncertainty often leads to costly inappropriate therapies, the need for novel pathogen detection methods is paramount. Metagenomic next-generation sequencing (mNGS) offers the unique opportunity to circumvent these challenges using unbiased laboratory and computational methods. Here, we performed comprehensive mNGS from 68 prospectively enrolled patients with known (n = 44) or suspected (n = 24) CNS viral infection from a single center in New England and evaluated enhanced methods to improve the detection of CNS pathogens, including those not traditionally identified in the CNS by nucleic acid detection. Overall, our work helps elucidate how mNGS can become integrated into the diagnostic toolkit for CNS infections.
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Affiliation(s)
- Anne Piantadosi
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
- Emory University School of Medicine, Atlanta, Georgia, USA
| | - Shibani S. Mukerji
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Simon Ye
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Harvard-MIT Program of Health Sciences and Technology, Cambridge, Massachusetts, USA
| | - Michael J. Leone
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Lisa M. Freimark
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Daniel Park
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Gordon Adams
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jacob Lemieux
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Sanjat Kanjilal
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Isaac H. Solomon
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Asim A. Ahmed
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Children’s Hospital, Boston, Massachusetts, USA
| | - Robert Goldstein
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Vijay Ganesh
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Bridget Ostrem
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Kaelyn C. Cummins
- Division of Infectious Diseases, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Jesse M. Thon
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Cormac M. Kinsella
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Eric Rosenberg
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Matthew P. Frosch
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Marcia B. Goldberg
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Tracey A. Cho
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- University of Iowa, Department of Neurology, Iowa City, Iowa, USA
| | - Pardis Sabeti
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
- Department of Immunology and Infectious Disease, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
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30
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Delorey TM, Ziegler CGK, Heimberg G, Normand R, Yang Y, Segerstolpe A, Abbondanza D, Fleming SJ, Subramanian A, Montoro DT, Jagadeesh KA, Dey KK, Sen P, Slyper M, Pita-Juárez YH, Phillips D, Bloom-Ackerman Z, Barkas N, Ganna A, Gomez J, Normandin E, Naderi P, Popov YV, Raju SS, Niezen S, Tsai LTY, Siddle KJ, Sud M, Tran VM, Vellarikkal SK, Amir-Zilberstein L, Atri DS, Beechem J, Brook OR, Chen J, Divakar P, Dorceus P, Engreitz JM, Essene A, Fitzgerald DM, Fropf R, Gazal S, Gould J, Grzyb J, Harvey T, Hecht J, Hether T, Jane-Valbuena J, Leney-Greene M, Ma H, McCabe C, McLoughlin DE, Miller EM, Muus C, Niemi M, Padera R, Pan L, Pant D, Pe’er C, Pfiffner-Borges J, Pinto CJ, Plaisted J, Reeves J, Ross M, Rudy M, Rueckert EH, Siciliano M, Sturm A, Todres E, Waghray A, Warren S, Zhang S, Zollinger DR, Cosimi L, Gupta RM, Hacohen N, Hide W, Price AL, Rajagopal J, Tata PR, Riedel S, Szabo G, Tickle TL, Hung D, Sabeti PC, Novak R, Rogers R, Ingber DE, Jiang ZG, Juric D, Babadi M, Farhi SL, Stone JR, Vlachos IS, Solomon IH, Ashenberg O, Porter CB, Li B, Shalek AK, Villani AC, Rozenblatt-Rosen O, Regev A. A single-cell and spatial atlas of autopsy tissues reveals pathology and cellular targets of SARS-CoV-2. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021:2021.02.25.430130. [PMID: 33655247 PMCID: PMC7924267 DOI: 10.1101/2021.02.25.430130] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The SARS-CoV-2 pandemic has caused over 1 million deaths globally, mostly due to acute lung injury and acute respiratory distress syndrome, or direct complications resulting in multiple-organ failures. Little is known about the host tissue immune and cellular responses associated with COVID-19 infection, symptoms, and lethality. To address this, we collected tissues from 11 organs during the clinical autopsy of 17 individuals who succumbed to COVID-19, resulting in a tissue bank of approximately 420 specimens. We generated comprehensive cellular maps capturing COVID-19 biology related to patients' demise through single-cell and single-nucleus RNA-Seq of lung, kidney, liver and heart tissues, and further contextualized our findings through spatial RNA profiling of distinct lung regions. We developed a computational framework that incorporates removal of ambient RNA and automated cell type annotation to facilitate comparison with other healthy and diseased tissue atlases. In the lung, we uncovered significantly altered transcriptional programs within the epithelial, immune, and stromal compartments and cell intrinsic changes in multiple cell types relative to lung tissue from healthy controls. We observed evidence of: alveolar type 2 (AT2) differentiation replacing depleted alveolar type 1 (AT1) lung epithelial cells, as previously seen in fibrosis; a concomitant increase in myofibroblasts reflective of defective tissue repair; and, putative TP63+ intrapulmonary basal-like progenitor (IPBLP) cells, similar to cells identified in H1N1 influenza, that may serve as an emergency cellular reserve for severely damaged alveoli. Together, these findings suggest the activation and failure of multiple avenues for regeneration of the epithelium in these terminal lungs. SARS-CoV-2 RNA reads were enriched in lung mononuclear phagocytic cells and endothelial cells, and these cells expressed distinct host response transcriptional programs. We corroborated the compositional and transcriptional changes in lung tissue through spatial analysis of RNA profiles in situ and distinguished unique tissue host responses between regions with and without viral RNA, and in COVID-19 donor tissues relative to healthy lung. Finally, we analyzed genetic regions implicated in COVID-19 GWAS with transcriptomic data to implicate specific cell types and genes associated with disease severity. Overall, our COVID-19 cell atlas is a foundational dataset to better understand the biological impact of SARS-CoV-2 infection across the human body and empowers the identification of new therapeutic interventions and prevention strategies.
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Affiliation(s)
- Toni M. Delorey
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Carly G. K. Ziegler
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Program in Health Sciences & Technology, Harvard Medical School & Massachusetts Institute of Technology, Boston, MA 02115, USA
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA
- Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA 02138, USA
| | - Graham Heimberg
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Rachelly Normand
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Harvard Medical School, Boston, MA 02115, USA
- Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Yiming Yang
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Asa Segerstolpe
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Domenic Abbondanza
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Stephen J. Fleming
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ayshwarya Subramanian
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | | | - Karthik A. Jagadeesh
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Kushal K. Dey
- Department of Epidemiology, Harvard School of Public Health
| | - Pritha Sen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Michal Slyper
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Yered H. Pita-Juárez
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
- Harvard Medical School Initiative for RNA Medicine, Boston, MA 02115, USA
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
| | - Devan Phillips
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Zohar Bloom-Ackerman
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Nick Barkas
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | - Andrea Ganna
- Institute for Molecular Medicine Finland, Helsinki, Finland
- Analytical & Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - James Gomez
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Erica Normandin
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Pourya Naderi
- Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
- Harvard Medical School Initiative for RNA Medicine, Boston, MA 02115, USA
| | - Yury V. Popov
- Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA 02115, USA
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Siddharth S. Raju
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
- FAS Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Sebastian Niezen
- Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA 02115, USA
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Linus T.-Y. Tsai
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA 02115, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA 02115
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core Boston, MA 02115, USA
| | - Katherine J. Siddle
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Malika Sud
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Victoria M. Tran
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Shamsudheen K. Vellarikkal
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Divisions of Cardiovascular Medicine and Genetics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Liat Amir-Zilberstein
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Deepak S. Atri
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Divisions of Cardiovascular Medicine and Genetics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | | | - Olga R. Brook
- Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Jonathan Chen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | | | - Phylicia Dorceus
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Jesse M. Engreitz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Genetics and BASE Initiative, Stanford University School of Medicine
| | - Adam Essene
- Department of Medicine, Beth Israel Deaconess Medical Center, MA 02115, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA 02115
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core Boston, MA 02115, USA
| | - Donna M. Fitzgerald
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Robin Fropf
- NanoString Technologies Inc., Seattle, WA 98109, USA
| | - Steven Gazal
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Joshua Gould
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | - John Grzyb
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA 02115
| | - Tyler Harvey
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Jonathan Hecht
- Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
| | - Tyler Hether
- NanoString Technologies Inc., Seattle, WA 98109, USA
| | - Judit Jane-Valbuena
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | | | - Hui Ma
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Cristin McCabe
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Daniel E. McLoughlin
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Christoph Muus
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138
| | - Mari Niemi
- Institute for Molecular Medicine Finland, Helsinki, Finland
| | - Robert Padera
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA 02115
- Harvard-MIT Division of Health Sciences and Technology, Cambridge MA
- Department of Pathology, Harvard Medical School, Boston, MA 02115, USA
| | - Liuliu Pan
- NanoString Technologies Inc., Seattle, WA 98109, USA
| | - Deepti Pant
- Department of Medicine, Beth Israel Deaconess Medical Center, MA 02115, USA
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA 02115
- Boston Nutrition and Obesity Research Center Functional Genomics and Bioinformatics Core Boston, MA 02115, USA
| | - Carmel Pe’er
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | | | - Christopher J. Pinto
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Jacob Plaisted
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA 02115
| | - Jason Reeves
- NanoString Technologies Inc., Seattle, WA 98109, USA
| | - Marty Ross
- NanoString Technologies Inc., Seattle, WA 98109, USA
| | - Melissa Rudy
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | | | - Alexander Sturm
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ellen Todres
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Avinash Waghray
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Sarah Warren
- NanoString Technologies Inc., Seattle, WA 98109, USA
| | - Shuting Zhang
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Lisa Cosimi
- Infectious Diseases Division, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Rajat M. Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Divisions of Cardiovascular Medicine and Genetics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Winston Hide
- Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
- Harvard Medical School Initiative for RNA Medicine, Boston, MA 02115, USA
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
| | - Alkes L. Price
- Department of Epidemiology, Harvard School of Public Health
| | - Jayaraj Rajagopal
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Stefan Riedel
- Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
| | - Gyongyi Szabo
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA 02115, USA
| | - Timothy L. Tickle
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | - Deborah Hung
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Pardis C. Sabeti
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA
| | - Richard Novak
- Wyss Institute for Biologically Inspired Engineering, Harvard University
| | - Robert Rogers
- Department of Medicine, Beth Israel Deaconess Medical Center, MA 02115, USA
- Massachusetts General Hospital, MA 02114, USA
| | - Donald E. Ingber
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138
- Wyss Institute for Biologically Inspired Engineering, Harvard University
- Vascular Biology Program and Department of Surgery, Boston Children’s Hospital, Harvard Medical School, Boston, MA USA
| | - Z. Gordon Jiang
- Harvard Medical School, Boston, MA 02115, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, MA 02115, USA
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Dejan Juric
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Massachusetts General Hospital Cancer Center, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Mehrtash Babadi
- Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Samouil L. Farhi
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - James R. Stone
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ioannis S. Vlachos
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
- Harvard Medical School Initiative for RNA Medicine, Boston, MA 02115, USA
- Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
| | - Isaac H. Solomon
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA 02115
| | - Orr Ashenberg
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Caroline B.M. Porter
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
| | - Bo Li
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Alex K. Shalek
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Program in Health Sciences & Technology, Harvard Medical School & Massachusetts Institute of Technology, Boston, MA 02115, USA
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA
- Harvard Graduate Program in Biophysics, Harvard University, Cambridge, MA 02138, USA
- Harvard Medical School, Boston, MA 02115, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Program in Computational & Systems Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Program in Immunology, Harvard Medical School, Boston, MA 02115, USA
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Alexandra-Chloé Villani
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
- Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Orit Rozenblatt-Rosen
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
- Current address: Genentech, 1 DNA Way, South San Francisco, CA, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Current address: Genentech, 1 DNA Way, South San Francisco, CA, USA
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31
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A streamlined clinical metagenomic sequencing protocol for rapid pathogen identification. Sci Rep 2021; 11:4405. [PMID: 33623127 PMCID: PMC7902651 DOI: 10.1038/s41598-021-83812-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 01/21/2021] [Indexed: 12/11/2022] Open
Abstract
Metagenomic next-generation sequencing (mNGS) holds promise as a diagnostic tool for unbiased pathogen identification and precision medicine. However, its medical utility depends largely on assay simplicity and reproducibility. In the current study, we aimed to develop a streamlined Illumina and Oxford Nanopore-based DNA/RNA library preparation protocol and rapid data analysis pipeline. The Illumina sequencing-based mNGS method was first developed and evaluated using a set of samples with known aetiology. Its sensitivity for RNA viruses (influenza A, H1N1) was < 6.4 × 102 EID50/mL, and a good correlation between viral loads and mapped reads was observed. Then, the rapid turnaround time of Nanopore sequencing was tested by sequencing influenza A virus and adenoviruses. Furthermore, 11 respiratory swabs or sputum samples pre-tested for a panel of pathogens were analysed, and the pathogens identified by Illumina sequencing showed 81.8% concordance with qPCR results. Additional sequencing of cerebrospinal fluid (CSF) samples from HIV-1-positive patients with meningitis/encephalitis detected HIV-1 RNA and Toxoplasma gondii sequences. In conclusion, we have developed a simplified protocol that realizes efficient metagenomic sequencing of a variety of clinical samples and pathogen identification in a clinically meaningful time frame.
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32
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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: 7.0] [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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33
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Sy M, Badiane AS, Deme AB, Gaye A, Ndiaye T, Fall FB, Siddle KJ, Dieye B, Ndiaye YD, Diallo MA, Diongue K, Seck MC, Ndiaye IM, Cissé M, Gueye AB, Sène D, Dieye Y, Souané T, MacInnis B, Volkman SK, Wirth DF, Ndiaye D. Genomic investigation of atypical malaria cases in Kanel, northern Senegal. Malar J 2021; 20:103. [PMID: 33608006 PMCID: PMC7893743 DOI: 10.1186/s12936-021-03637-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 02/09/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The diagnosis of malaria cases in regions where the malaria burden has decreased significantly and prevalence is very low is more challenging, in part because of reduced clinical presumption of malaria. The appearance of a cluster of malaria cases with atypical symptoms in Mbounguiel, a village in northern Senegal where malaria transmission is low, in September 2018 exemplifies this scenario. The collaboration between the National Malaria Control Programme (NMCP) at the Senegal Ministry of Health and the Laboratory of Parasitology and Mycology at Cheikh Anta Diop University worked together to evaluate this cluster of malaria cases using molecular and serological tools. METHODS Malaria cases were diagnosed primarily by rapid diagnostic test (RDT), and confirmed by photo-induced electron transfer-polymerase chain reaction (PET-PCR). 24 single nucleotide polymorphisms (SNPs) barcoding was used for Plasmodium falciparum genotyping. Unbiased metagenomic sequencing and Luminex-based multi-pathogen antibody and antigen profiling were used to assess exposure to other pathogens. RESULTS Nine patients, of 15 suspected cases, were evaluated, and all nine samples were found to be positive for P. falciparum only. The 24 SNPs molecular barcode showed the predominance of polygenomic infections, with identifiable strains being different from one another. All patients tested positive for the P. falciparum antigens. No other pathogenic infection was detected by either the serological panel or metagenomic sequencing. CONCLUSIONS This work, undertaken locally within Senegal as a collaboration between the NMCP and a research laboratory at University of Cheikh Anta Diop (UCAD) revealed that a cluster of malaria cases were caused by different strains of P. falciparum. The public health response in real time demonstrates the value of local molecular and genomics capacity in affected countries for disease control and elimination.
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Affiliation(s)
- Mouhamad Sy
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal.
| | - Aida Sadikh Badiane
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Awa Bineta Deme
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Amy Gaye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Tolla Ndiaye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Fatou Ba Fall
- Senegal National Malaria Control Programme, Dakar, Senegal
| | | | - Baba Dieye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Yaye Die Ndiaye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Mamadou Alpha Diallo
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Khadim Diongue
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Mame Cheikh Seck
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Ibrahima Mbaye Ndiaye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | | | | | - Doudou Sène
- Senegal National Malaria Control Programme, Dakar, Senegal
| | - Yakou Dieye
- Malaria Control and Evaluation Partnership in Africa PATH-MACEPA, Dakar, Senegal
| | - Tamba Souané
- Malaria Control and Evaluation Partnership in Africa PATH-MACEPA, Dakar, Senegal
| | - Bronwyn MacInnis
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Sarah K Volkman
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- College of Natural, Behavioral, and Health Sciences, Simmons University, Boston, MA, USA
| | - Dyann F Wirth
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Daouda Ndiaye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
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Hartley PD, Tillett RL, AuCoin DP, Sevinsky JR, Xu Y, Gorzalski A, Pandori M, Buttery E, Hansen H, Picker MA, Rossetto CC, Verma SC. Genomic surveillance of Nevada patients revealed prevalence of unique SARS-CoV-2 variants bearing mutations in the RdRp gene. J Genet Genomics 2021; 48:40-51. [PMID: 33820739 PMCID: PMC7891100 DOI: 10.1016/j.jgg.2021.01.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 01/20/2021] [Accepted: 01/22/2021] [Indexed: 12/28/2022]
Abstract
Patients with signs of COVID-19 were tested through diagnostic RT-PCR for SARS-CoV-2 using RNA extracted from the nasopharyngeal/nasal swabs. To determine the variants of SARS-CoV-2 circulating in the state of Nevada, specimens from 200 COVID-19 patients were sequenced through our robust sequencing platform, which enabled sequencing of SARS-CoV-2 from specimens with even very low viral loads, without the need of culture-based amplification. High genome coverage allowed the identification of single and multi-nucleotide variants in SARS-CoV-2 in the community and their phylogenetic relationships with other variants present during the same period of the outbreak. We report the occurrence of a novel mutation at 323aa (314aa of orf1b) of nsp12 (RNA-dependent RNA polymerase) changed to phenylalanine (F) from proline (P), in the first reported isolate of SARS-CoV-2, Wuhan-Hu-1. This 323F variant was present at a very high frequency in Northern Nevada. Structural modeling determined this mutation in the interface domain, which is important for the association of accessory proteins required for the polymerase. In conclusion, we report the introduction of specific SARS-CoV-2 variants at very high frequency in distinct geographic locations, which is important for understanding the evolution and circulation of SARS-CoV-2 variants of public health importance, while it circulates in humans.
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Affiliation(s)
- Paul D Hartley
- Nevada Genomics Center, Reno, NV 89557, USA; University of Nevada, Reno, Reno, NV 89557, USA
| | - Richard L Tillett
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, NV 89154, USA
| | - David P AuCoin
- University of Nevada, Reno, Reno, NV 89557, USA; Department of Microbiology & Immunology, University of Nevada, Reno School of Medicine, Reno, NV 89557, USA
| | | | - Yanji Xu
- University of Nevada, Reno, Reno, NV 89557, USA; Nevada Center for Bioinformatics, Reno, NV 89557, USA
| | - Andrew Gorzalski
- University of Nevada, Reno, Reno, NV 89557, USA; Nevada State Public Health Laboratory, Reno, NV 89503, USA
| | - Mark Pandori
- University of Nevada, Reno, Reno, NV 89557, USA; Nevada State Public Health Laboratory, Reno, NV 89503, USA
| | - Erin Buttery
- Southern Nevada Public Health Laboratory of the Southern Nevada Health District, Las Vegas, NV 89107, USA
| | - Holly Hansen
- Southern Nevada Public Health Laboratory of the Southern Nevada Health District, Las Vegas, NV 89107, USA
| | - Michael A Picker
- Southern Nevada Public Health Laboratory of the Southern Nevada Health District, Las Vegas, NV 89107, USA
| | - Cyprian C Rossetto
- University of Nevada, Reno, Reno, NV 89557, USA; Department of Microbiology & Immunology, University of Nevada, Reno School of Medicine, Reno, NV 89557, USA.
| | - Subhash C Verma
- University of Nevada, Reno, Reno, NV 89557, USA; Department of Microbiology & Immunology, University of Nevada, Reno School of Medicine, Reno, NV 89557, USA.
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35
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Lemieux JE, Siddle KJ, Shaw BM, Loreth C, Schaffner SF, Gladden-Young A, Adams G, Fink T, Tomkins-Tinch CH, Krasilnikova LA, DeRuff KC, Rudy M, Bauer MR, Lagerborg KA, Normandin E, Chapman SB, Reilly SK, Anahtar MN, Lin AE, Carter A, Myhrvold C, Kemball ME, Chaluvadi S, Cusick C, Flowers K, Neumann A, Cerrato F, Farhat M, Slater D, Harris JB, Branda JA, Hooper D, Gaeta JM, Baggett TP, O'Connell J, Gnirke A, Lieberman TD, Philippakis A, Burns M, Brown CM, Luban J, Ryan ET, Turbett SE, LaRocque RC, Hanage WP, Gallagher GR, Madoff LC, Smole S, Pierce VM, Rosenberg E, Sabeti PC, Park DJ, MacInnis BL. Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events. Science 2021; 371:eabe3261. [PMID: 33303686 PMCID: PMC7857412 DOI: 10.1126/science.abe3261] [Citation(s) in RCA: 164] [Impact Index Per Article: 54.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 12/07/2020] [Indexed: 12/20/2022]
Abstract
Analysis of 772 complete severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from early in the Boston-area epidemic revealed numerous introductions of the virus, a small number of which led to most cases. The data revealed two superspreading events. One, in a skilled nursing facility, led to rapid transmission and significant mortality in this vulnerable population but little broader spread, whereas other introductions into the facility had little effect. The second, at an international business conference, produced sustained community transmission and was exported, resulting in extensive regional, national, and international spread. The two events also differed substantially in the genetic variation they generated, suggesting varying transmission dynamics in superspreading events. Our results show how genomic epidemiology can help to understand the link between individual clusters and wider community spread.
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Affiliation(s)
- Jacob E Lemieux
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA.
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Katherine J Siddle
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Bennett M Shaw
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Christine Loreth
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Stephen F Schaffner
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | | | - Gordon Adams
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Timelia Fink
- Massachusetts Department of Public Health, Boston, MA, USA
| | - Christopher H Tomkins-Tinch
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Lydia A Krasilnikova
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Katherine C DeRuff
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Melissa Rudy
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Matthew R Bauer
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Harvard Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA 02115, USA
| | - Kim A Lagerborg
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Harvard Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA 02115, USA
| | - Erica Normandin
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Sinéad B Chapman
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Steven K Reilly
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Melis N Anahtar
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Aaron E Lin
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Amber Carter
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Cameron Myhrvold
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Molly E Kemball
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Sushma Chaluvadi
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Caroline Cusick
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Katelyn Flowers
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Anna Neumann
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Felecia Cerrato
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Maha Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care, Massachusetts General Hospital, Boston, MA, USA
| | - Damien Slater
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Jason B Harris
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - John A Branda
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - David Hooper
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Jessie M Gaeta
- Institute for Research, Quality, and Policy in Homeless Health Care, Boston Health Care for the Homeless Program, Boston, MA, USA
- Section of General Internal Medicine, Boston University Medical Center, Boston, MA, USA
| | - Travis P Baggett
- Institute for Research, Quality, and Policy in Homeless Health Care, Boston Health Care for the Homeless Program, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - James O'Connell
- Institute for Research, Quality, and Policy in Homeless Health Care, Boston Health Care for the Homeless Program, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Andreas Gnirke
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Tami D Lieberman
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Anthony Philippakis
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Meagan Burns
- Massachusetts Department of Public Health, Boston, MA, USA
| | | | - Jeremy Luban
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
- Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
| | - Edward T Ryan
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Sarah E Turbett
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Regina C LaRocque
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - William P Hanage
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | | | - Lawrence C Madoff
- Massachusetts Department of Public Health, Boston, MA, USA
- University of Massachusetts Medical School, Infectious Diseases and Immunology, Worcester, MA 01655, USA
| | - Sandra Smole
- Massachusetts Department of Public Health, Boston, MA, USA
| | - Virginia M Pierce
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
- Pediatric Infectious Disease Unit, Massachusetts General Hospital for Children, Boston, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Eric Rosenberg
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Pardis C Sabeti
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA.
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
- Howard Hughes Medical Institute, 4000 Jones Bridge Rd, Chevy Chase, MD 20815, USA
| | - Daniel J Park
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA
| | - Bronwyn L MacInnis
- Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA.
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
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36
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Ndiaye T, Sy M, Gaye A, Siddle KJ, Park DJ, Bei AK, Deme AB, Mbaye A, Dieye B, Ndiaye YD, Ndiaye IM, Diallo MA, Diongue K, Volkman SK, Badiane AS, Ndiaye D. Molecular epidemiology of Plasmodium falciparum by multiplexed amplicon deep sequencing in Senegal. Malar J 2020; 19:403. [PMID: 33172455 PMCID: PMC7654156 DOI: 10.1186/s12936-020-03471-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 10/30/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Molecular epidemiology can provide important information regarding the genetic diversity and transmission of Plasmodium falciparum, which can assist in designing and monitoring elimination efforts. However, malaria molecular epidemiology including understanding the genetic diversity of the parasite and performing molecular surveillance of transmission has been poorly documented in Senegal. Next Generation Sequencing (NGS) offers a practical, fast and high-throughput approach to understand malaria population genetics. This study aims to unravel the population structure of P. falciparum and to estimate the allelic diversity, multiplicity of infection (MOI), and evolutionary patterns of the malaria parasite using the NGS platform. METHODS Multiplex amplicon deep sequencing of merozoite surface protein 1 (PfMSP1) and merozoite surface protein 2 (PfMSP2) in fifty-three P. falciparum isolates from two epidemiologically different areas in the South and North of Senegal, was carried out. RESULTS A total of 76 Pfmsp1 and 116 Pfmsp2 clones were identified and 135 different alleles were found, 56 and 79 belonged to the pfmsp1 and pfmsp2 genes, respectively. K1 and IC3D7 allelic families were most predominant in both sites. The local haplotype diversity (Hd) and nucleotide diversity (π) were higher in the South than in the North for both genes. For pfmsp1, a high positive Tajima's D (TD) value was observed in the South (D = 2.0453) while negative TD value was recorded in the North (D = - 1.46045) and F-Statistic (Fst) was 0.19505. For pfmsp2, non-directional selection was found with a highly positive TD test in both areas and Fst was 0.02111. The mean MOI for both genes was 3.07 and 1.76 for the South and the North, respectively, with a statistically significant difference between areas (p = 0.001). CONCLUSION This study revealed a high genetic diversity of pfmsp1 and pfmsp2 genes and low genetic differentiation in P. falciparum population in Senegal. The MOI means were significantly different between the Southern and Northern areas. Findings also showed that multiplexed amplicon deep sequencing is a useful technique to investigate genetic diversity and molecular epidemiology of P. falciparum infections.
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Affiliation(s)
- Tolla Ndiaye
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal.
| | - Mouhamad Sy
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Amy Gaye
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal
| | | | - Daniel J Park
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Amy K Bei
- Yale School of Public Health, 60 College Street, New Haven, CT, 06510, USA
| | - Awa B Deme
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Aminata Mbaye
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Baba Dieye
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Yaye Die Ndiaye
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Ibrahima Mbaye Ndiaye
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Mamadou Alpha Diallo
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Khadim Diongue
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Sarah K Volkman
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Immunology and Infectious Diseases, Harvard University, Cambridge, MA, USA
| | - Aida Sadikh Badiane
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Daouda Ndiaye
- Laboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal
- Department of Immunology and Infectious Diseases, Harvard University, Cambridge, MA, USA
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37
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Normandin E, Solomon IH, Zamirpour S, Lemieux J, Freije CA, Mukerji SS, Tomkins-Tinch C, Park D, Sabeti PC, Piantadosi A. Powassan Virus Neuropathology and Genomic Diversity in Patients With Fatal Encephalitis. Open Forum Infect Dis 2020; 7:ofaa392. [PMID: 33094116 PMCID: PMC7566439 DOI: 10.1093/ofid/ofaa392] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 08/27/2020] [Indexed: 01/09/2023] Open
Abstract
Background Powassan virus (POWV) is an emerging cause of severe encephalitis; very little is known about human pathogenicity due to challenges in diagnosis and viral RNA recovery. We present 3 patients with fatal encephalitis due to POWV lineage II (deer tick virus). Methods We obtained 27 unique samples, including from brain biopsy and autopsy, and used metagenomic sequencing, quantitative reverse transcriptase polymerase chain reaction, and a newly developed CRISPR-based diagnostic assay to perform the first detailed characterization of POWV compartmentalization and genomics between and within human subjects. Results In all 3 patients, imaging and histopathology findings were notable for profound cerebellar involvement. All patients were initially diagnosed with POWV by metagenomic sequencing, and 2 of the 3 had negative clinical testing by serology. We detected POWV RNA in 13 clinical samples; levels were highest in the cerebellum, and there was very little involvement of peripheral tissue. We assembled complete POWV genomes from 8 samples, providing unique information about the strains of POWV lineage II (deer tick virus) that infect humans. Conclusions We demonstrate the utility of molecular assays for detecting POWV infection, including in seronegative patients, and nominate viral genomic features that may relate to human infection and neuropathogenicity. The cerebellum was identified as a key target POWV in fatal infection, by radiological and histopathological findings as well as molecular testing.
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Affiliation(s)
- Erica Normandin
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Systems Biology, Harvard Medical School, Boston, Massachusetts, USA
| | - Isaac H Solomon
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Siavash Zamirpour
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Harvard College, Cambridge, Massachusetts, USA
| | - Jacob Lemieux
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Catherine A Freije
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,PhD Program in Virology, Division of Medical Sciences, Harvard University, Boston, Massachusetts, USA
| | - Shibani S Mukerji
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Christopher Tomkins-Tinch
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Daniel Park
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Pardis C Sabeti
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA.,Department of Immunology and Infectious Disease, Harvard School of Public Health, Boston, Massachusetts, USA.,Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Anne Piantadosi
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA.,Emory University School of Medicine, Atlanta, Georgia, USA
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38
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Lemieux JE, Siddle KJ, Shaw BM, Loreth C, Schaffner SF, Gladden-Young A, Adams G, Fink T, Tomkins-Tinch CH, Krasilnikova LA, DeRuff KC, Rudy M, Bauer MR, Lagerborg KA, Normandin E, Chapman SB, Reilly SK, Anahtar MN, Lin AE, Carter A, Myhrvold C, Kemball ME, Chaluvadi S, Cusick C, Flowers K, Neumann A, Cerrato F, Farhat M, Slater D, Harris JB, Branda J, Hooper D, Gaeta JM, Baggett TP, O'Connell J, Gnirke A, Lieberman TD, Philippakis A, Burns M, Brown CM, Luban J, Ryan ET, Turbett SE, LaRocque RC, Hanage WP, Gallagher GR, Madoff LC, Smole S, Pierce VM, Rosenberg E, Sabeti PC, Park DJ, Maclnnis BL. Phylogenetic analysis of SARS-CoV-2 in the Boston area highlights the role of recurrent importation and superspreading events. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020. [PMID: 32869040 DOI: 10.1101/2020.04.12.20059618v1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
SARS-CoV-2 has caused a severe, ongoing outbreak of COVID-19 in Massachusetts with 111,070 confirmed cases and 8,433 deaths as of August 1, 2020. To investigate the introduction, spread, and epidemiology of COVID-19 in the Boston area, we sequenced and analyzed 772 complete SARS-CoV-2 genomes from the region, including nearly all confirmed cases within the first week of the epidemic and hundreds of cases from major outbreaks at a conference, a nursing facility, and among homeless shelter guests and staff. The data reveal over 80 introductions into the Boston area, predominantly from elsewhere in the United States and Europe. We studied two superspreading events covered by the data, events that led to very different outcomes because of the timing and populations involved. One produced rapid spread in a vulnerable population but little onward transmission, while the other was a major contributor to sustained community transmission, including outbreaks in homeless populations, and was exported to several other domestic and international sites. The same two events differed significantly in the number of new mutations seen, raising the possibility that SARS-CoV-2 superspreading might encompass disparate transmission dynamics. Our results highlight the failure of measures to prevent importation into MA early in the outbreak, underscore the role of superspreading in amplifying an outbreak in a major urban area, and lay a foundation for contact tracing informed by genetic data.
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Affiliation(s)
- Jacob E Lemieux
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Katherine J Siddle
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Bennett M Shaw
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Christine Loreth
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Stephen F Schaffner
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.,Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | | | - Gordon Adams
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Timelia Fink
- Massachusetts Department of Public Health, Boston, MA, USA
| | - Christopher H Tomkins-Tinch
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Lydia A Krasilnikova
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Katherine C DeRuff
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Melissa Rudy
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Matthew R Bauer
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Harvard Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA 02115, USA
| | - Kim A Lagerborg
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Harvard Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA 02115, USA
| | - Erica Normandin
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Sinead B Chapman
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Steven K Reilly
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Melis N Anahtar
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Aaron E Lin
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Amber Carter
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Cameron Myhrvold
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Molly E Kemball
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Sushma Chaluvadi
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Caroline Cusick
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Katelyn Flowers
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Anna Neumann
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Felecia Cerrato
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Maha Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.,Division of Pulmonary and Critical Care, Massachusetts General Hospital, Boston, MA, USA
| | - Damien Slater
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Jason B Harris
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - John Branda
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - David Hooper
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Jessie M Gaeta
- lnstitute for Research, Quality, and Policy in Homeless Health Care, Boston Health Care for the Homeless Program, Boston, MA, USA.,Section of General Internal Medicine, Boston University Medical Center, Boston
| | - Travis P Baggett
- lnstitute for Research, Quality, and Policy in Homeless Health Care, Boston Health Care for the Homeless Program, Boston, MA, USA.,Division of General Internal Medicine, Massachusetts General Hospital, Boston.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - James O'Connell
- lnstitute for Research, Quality, and Policy in Homeless Health Care, Boston Health Care for the Homeless Program, Boston, MA, USA.,Division of General Internal Medicine, Massachusetts General Hospital, Boston.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Andreas Gnirke
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Tami D Lieberman
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,lnstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Anthony Philippakis
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Meagan Burns
- Massachusetts Department of Public Health, Boston, MA, USA
| | | | - Jeremy Luban
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, 02115, USA
| | - Edward T Ryan
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.,Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Sarah E Turbett
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.,Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Regina C LaRocque
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - William P Hanage
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | | | - Lawrence C Madoff
- Massachusetts Department of Public Health, Boston, MA, USA.,University of Massachusetts Medical School, Infectious Diseases and Immunology, Worcester, MA 01655
| | - Sandra Smole
- Massachusetts Department of Public Health, Boston, MA, USA
| | - Virginia M Pierce
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.,Pediatric Infectious Disease Unit, MassGeneral Hospital for Children, Boston, MA, USA.,Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Eric Rosenberg
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.,Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Pardis C Sabeti
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.,Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, 02115, USA.,Howard Hughes Medical Institute, 4000 Jones Bridge Rd, Chevy Chase, MD 20815
| | - Daniel J Park
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA
| | - Bronwyn L Maclnnis
- Broad Institute of Harvard and MIT, 75 Ames Street, Cambridge, MA 02142, USA.,Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, 02115, USA
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39
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Hartley PD, Tillett RL, Aucoin DP, Sevinsky JR, Xu Y, Gorzalski A, Pandori M, Buttery E, Hansen H, Picker MA, Rossetto CC, Verma SC. Genomic surveillance revealed prevalence of unique SARS-CoV- 2 variants bearing mutation in the RdRp gene among Nevada patients.. [PMID: 32869037 PMCID: PMC7457609 DOI: 10.1101/2020.08.21.20178863] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Patients with signs of COVID-19 were tested with CDC approved diagnostic RT-PCR for SARS-CoV-2 using RNA extracted from nasopharyngeal/nasal swabs. In order to determine the variants of SARS-CoV-2 circulating in the state of Nevada, 200 patient specimens from COVID-19 patients were sequenced through our robust protocol for sequencing SARS-CoV-2 genomes. Our protocol enabled sequencing of SARS-CoV-2 genome directly from the specimens, with even very low viral loads, without the need of culture-based amplification. This allowed the identification of specific nucleotide variants including those coding for D614G and clades defining mutations. These sequences were further analyzed for determining SARS-CoV-2 variants circulating in the state of Nevada and their phylogenetic relationships with other variants present in the united states and the world during the same period of the outbreak. Our study reports the occurrence of a novel variant in the nsp12 (RNA dependent RNA Polymerase) protein at residue 323 (314aa of orf1b) to Phenylalanine (F) from Proline (P), present in the original isolate of SARS-CoV-2 (Wuhan-Hu-1). This 323F variant is found at a very high frequency (46% of the tested specimen) in Northern Nevada. Functional significance of this unique and highly prevalent variant of SARS-CoV-2 with RdRp mutation is currently under investigation but structural modeling showed this 323aa residue in the interface domain of RdRp, which is required for association with accessory proteins. In conclusion, we report the introduction of specific SARS-CoV-2 variants at a very high frequency within a distinct geographic location, which is important for clinical and public health perspectives in understanding the evolution of SARS-CoV-2 while in circulation.
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40
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Deployable CRISPR-Cas13a diagnostic tools to detect and report Ebola and Lassa virus cases in real-time. Nat Commun 2020; 11:4131. [PMID: 32807807 PMCID: PMC7431545 DOI: 10.1038/s41467-020-17994-9] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 07/28/2020] [Indexed: 01/02/2023] Open
Abstract
Recent outbreaks of viral hemorrhagic fevers (VHFs), including Ebola virus disease (EVD) and Lassa fever (LF), highlight the urgent need for sensitive, deployable tests to diagnose these devastating human diseases. Here we develop CRISPR-Cas13a-based (SHERLOCK) diagnostics targeting Ebola virus (EBOV) and Lassa virus (LASV), with both fluorescent and lateral flow readouts. We demonstrate on laboratory and clinical samples the sensitivity of these assays and the capacity of the SHERLOCK platform to handle virus-specific diagnostic challenges. We perform safety testing to demonstrate the efficacy of our HUDSON protocol in heat-inactivating VHF viruses before SHERLOCK testing, eliminating the need for an extraction. We develop a user-friendly protocol and mobile application (HandLens) to report results, facilitating SHERLOCK’s use in endemic regions. Finally, we successfully deploy our tests in Sierra Leone and Nigeria in response to recent outbreaks. Outbreaks of viral hemorrhagic fevers highlight the need for sensitive, field-deployable diagnostics. Here the authors present a CRISPR-based SHERLOCK platform with field protocol and mobile app for Ebola and Lassa fever outbreaks.
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41
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RNAseq Analysis of Rhizomania-Infected Sugar Beet Provides the First Genome Sequence of Beet Necrotic Yellow Vein Virus from the USA and Identifies a Novel Alphanecrovirus and Putative Satellite Viruses. Viruses 2020; 12:v12060626. [PMID: 32531939 PMCID: PMC7354460 DOI: 10.3390/v12060626] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 06/04/2020] [Accepted: 06/09/2020] [Indexed: 02/06/2023] Open
Abstract
“Rhizomania” of sugar beet is a soilborne disease complex comprised of beet necrotic yellow vein virus (BNYVV) and its plasmodiophorid vector, Polymyxa betae. Although BNYVV is considered the causal agent of rhizomania, additional viruses frequently accompany BNYVV in diseased roots. In an effort to better understand the virus cohort present in sugar beet roots exhibiting rhizomania disease symptoms, five independent RNA samples prepared from diseased beet seedlings reared in a greenhouse or from field-grown adult sugar beet plants and enriched for virus particles were subjected to RNAseq. In all but a healthy control sample, the technique was successful at identifying BNYVV and provided sequence reads of sufficient quantity and overlap to assemble > 98% of the published genome of the virus. Utilizing the derived consensus sequence of BNYVV, infectious RNA was produced from cDNA clones of RNAs 1 and 2. The approach also enabled the detection of beet soilborne mosaic virus (BSBMV), beet soilborne virus (BSBV), beet black scorch virus (BBSV), and beet virus Q (BVQ), with near-complete genome assembly afforded to BSBMV and BBSV. In one field sample, a novel virus sequence of 3682 nt was assembled with significant sequence similarity and open reading frame (ORF) organization to members within the subgenus Alphanecrovirus (genus Necrovirus; family Tombusviridae). Construction of a DNA clone based on this sequence led to the production of the novel RNA genome in vitro that was capable of inducing local lesion formation on leaves of Chenopodium quinoa. Additionally, two previously unreported satellite viruses were revealed in the study; one possessing weak similarity to satellite maize white line mosaic virus and a second possessing moderate similarity to satellite tobacco necrosis virus C. Taken together, the approach provides an efficient pipeline to characterize variation in the BNYVV genome and to document the presence of other viruses potentially associated with disease severity or the ability to overcome resistance genes used for sugar beet rhizomania disease management.
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Ackerman CM, Myhrvold C, Thakku SG, Freije CA, Metsky HC, Yang DK, Ye SH, Boehm CK, Kosoko-Thoroddsen TSF, Kehe J, Nguyen TG, Carter A, Kulesa A, Barnes JR, Dugan VG, Hung DT, Blainey PC, Sabeti PC. Massively multiplexed nucleic acid detection with Cas13. Nature 2020; 582:277-282. [PMID: 32349121 PMCID: PMC7332423 DOI: 10.1038/s41586-020-2279-8] [Citation(s) in RCA: 397] [Impact Index Per Article: 99.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 04/20/2020] [Indexed: 12/26/2022]
Abstract
The great majority of globally circulating pathogens go undetected, undermining patient care and hindering outbreak preparedness and response. To enable routine surveillance and comprehensive diagnostic applications, there is a need for detection technologies that can scale to test many samples1-3 while simultaneously testing for many pathogens4-6. Here, we develop Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (CARMEN), a platform for scalable, multiplexed pathogen detection. In the CARMEN platform, nanolitre droplets containing CRISPR-based nucleic acid detection reagents7 self-organize in a microwell array8 to pair with droplets of amplified samples, testing each sample against each CRISPR RNA (crRNA) in replicate. The combination of CARMEN and Cas13 detection (CARMEN-Cas13) enables robust testing of more than 4,500 crRNA-target pairs on a single array. Using CARMEN-Cas13, we developed a multiplexed assay that simultaneously differentiates all 169 human-associated viruses with at least 10 published genome sequences and rapidly incorporated an additional crRNA to detect the causative agent of the 2020 COVID-19 pandemic. CARMEN-Cas13 further enables comprehensive subtyping of influenza A strains and multiplexed identification of dozens of HIV drug-resistance mutations. The intrinsic multiplexing and throughput capabilities of CARMEN make it practical to scale, as miniaturization decreases reagent cost per test by more than 300-fold. Scalable, highly multiplexed CRISPR-based nucleic acid detection shifts diagnostic and surveillance efforts from targeted testing of high-priority samples to comprehensive testing of large sample sets, greatly benefiting patients and public health9-11.
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Affiliation(s)
- Cheri M Ackerman
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, MIT, Cambridge, MA, USA
| | - Cameron Myhrvold
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
| | - Sri Gowtham Thakku
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Division of Health Sciences and Technology, Harvard Medical School and MIT, Cambridge, MA, USA
| | - Catherine A Freije
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Ph.D. Program in Virology, Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Hayden C Metsky
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
| | - David K Yang
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Simon H Ye
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Division of Health Sciences and Technology, Harvard Medical School and MIT, Cambridge, MA, USA
| | - Chloe K Boehm
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | | | - Jared Kehe
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, MIT, Cambridge, MA, USA
| | - Tien G Nguyen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Amber Carter
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Anthony Kulesa
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Biological Engineering, MIT, Cambridge, MA, USA
| | - John R Barnes
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Vivien G Dugan
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Deborah T Hung
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Molecular Biology Department and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Paul C Blainey
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
- Department of Biological Engineering, MIT, Cambridge, MA, USA.
- Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA, USA.
| | - Pardis C Sabeti
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Klitting R, Mehta SB, Oguzie JU, Oluniyi PE, Pauthner MG, Siddle KJ, Andersen KG, Happi CT, Sabeti PC. Lassa Virus Genetics. Curr Top Microbiol Immunol 2020. [PMID: 32418034 DOI: 10.1007/82_2020_212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
In a pattern repeated across a range of ecological niches, arenaviruses have evolved a compact four-gene genome to orchestrate a complex life cycle in a narrow range of susceptible hosts. A number of mammalian arenaviruses cross-infect humans, often causing a life-threatening viral hemorrhagic fever. Among this group of geographically bound zoonoses, Lassa virus has evolved a unique niche that leads to significant and sustained human morbidity and mortality. As a biosafety level 4 pathogen, direct study of the pathogenesis of Lassa virus is limited by the sparse availability, high operating costs, and technical restrictions of the high-level biocontainment laboratories required for safe experimentation. In this chapter, we introduce the relationship between genome structure and the life cycle of Lassa virus and outline reverse genetic approaches used to probe and describe functional elements of the Lassa virus genome. We then review the tools used to obtain viral genomic sequences used for phylogeny and molecular diagnostics, before shifting to a population perspective to assess the contributions of phylogenetic analysis in understanding the evolution and ecology of Lassa virus in West Africa. We finally consider the future outlook and clinical applications for genetic study of Lassa virus.
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Affiliation(s)
- Raphaëlle Klitting
- Department of Immunology and Microbiology, The Scripps Research Institute , La Jolla, CA, USA
| | - Samar B Mehta
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Infectious Diseases, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Judith U Oguzie
- African Center of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemers University, Ede, Osun State, Nigeria
| | - Paul E Oluniyi
- African Center of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemers University, Ede, Osun State, Nigeria
| | - Matthias G Pauthner
- Department of Immunology and Microbiology, The Scripps Research Institute , La Jolla, CA, USA
| | | | - Kristian G Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute , La Jolla, CA, USA.
| | - Christian T Happi
- African Center of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemers University, Ede, Osun State, Nigeria
| | - Pardis C Sabeti
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
- Department of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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Baidaliuk A, Lequime S, Moltini-Conclois I, Dabo S, Dickson LB, Prot M, Duong V, Dussart P, Boyer S, Shi C, Matthijnssens J, Guglielmini J, Gloria-Soria A, Simon-Lorière E, Lambrechts L. Novel genome sequences of cell-fusing agent virus allow comparison of virus phylogeny with the genetic structure of Aedes aegypti populations. Virus Evol 2020; 6:veaa018. [PMID: 32368352 PMCID: PMC7189118 DOI: 10.1093/ve/veaa018] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Flaviviruses encompass not only medically relevant arthropod-borne viruses (arboviruses) but also insect-specific flaviviruses (ISFs) that are presumably maintained primarily through vertical transmission in the insect host. Interestingly, ISFs are commonly found infecting important arbovirus vectors such as the mosquito Aedes aegypti. Cell-fusing agent virus (CFAV) was the first described ISF of mosquitoes more than four decades ago. Despite evidence for widespread CFAV infections in A.aegypti populations and for CFAV potential to interfere with arbovirus transmission, little is known about CFAV evolutionary history. Here, we generated six novel CFAV genome sequences by sequencing three new virus isolates and subjecting three mosquito samples to untargeted viral metagenomics. We used these new genome sequences together with published ones to perform a global phylogenetic analysis of CFAV genetic diversity. Although there was some degree of geographical clustering among CFAV sequences, there were also notable discrepancies between geography and phylogeny. In particular, CFAV sequences from Cambodia and Thailand diverged significantly, despite confirmation that A.aegypti populations from both locations are genetically close. The apparent phylogenetic discrepancy between CFAV and its A.aegypti host in Southeast Asia indicates that other factors than host population structure shape CFAV genetic diversity.
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Affiliation(s)
- Artem Baidaliuk
- Insect-Virus Interactions Unit, Department of Virology, Institut Pasteur, UMR2000, CNRS, 28 rue du Docteur Roux, 75015 Paris, France.,Sorbonne Université, Collège Doctoral, Paris F-75005, France
| | - Sébastian Lequime
- Insect-Virus Interactions Unit, Department of Virology, Institut Pasteur, UMR2000, CNRS, 28 rue du Docteur Roux, 75015 Paris, France.,KU Leuven Department of Microbiology and Immunology, Rega Institute, Laboratory of Clinical and Epidemiological Virology, Leuven, Belgium
| | - Isabelle Moltini-Conclois
- Insect-Virus Interactions Unit, Department of Virology, Institut Pasteur, UMR2000, CNRS, 28 rue du Docteur Roux, 75015 Paris, France
| | - Stéphanie Dabo
- Insect-Virus Interactions Unit, Department of Virology, Institut Pasteur, UMR2000, CNRS, 28 rue du Docteur Roux, 75015 Paris, France
| | - Laura B Dickson
- Insect-Virus Interactions Unit, Department of Virology, Institut Pasteur, UMR2000, CNRS, 28 rue du Docteur Roux, 75015 Paris, France
| | - Matthieu Prot
- Evolutionary Genomics of RNA Viruses, Department of Virology, Institut Pasteur, 28 rue du Docteur Roux, 75015 Paris, France
| | - Veasna Duong
- Virology Unit, Institut Pasteur du Cambodge, Institut Pasteur International Network, 5 Monivong Boulevard, 12201, Phnom Penh, Cambodia
| | - Philippe Dussart
- Virology Unit, Institut Pasteur du Cambodge, Institut Pasteur International Network, 5 Monivong Boulevard, 12201, Phnom Penh, Cambodia
| | - Sébastien Boyer
- Medical and Veterinary Entomology Unit, Institut Pasteur du Cambodge, Institut Pasteur International Network, 5 Monivong Boulevard, 12201, Phnom Penh, Cambodia
| | - Chenyan Shi
- KU Leuven Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Viral Metagenomics, Herestraat 49, 3000 Leuven, Belgium
| | - Jelle Matthijnssens
- KU Leuven Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Viral Metagenomics, Herestraat 49, 3000 Leuven, Belgium
| | - Julien Guglielmini
- Bioinformatics and Biostatistics Hub, Department of Computational Biology, Institut Pasteur, USR 3756 CNRS, 28 rue du Docteur Roux, 75015 Paris, France
| | - Andrea Gloria-Soria
- Center for Vector Biology & Zoonotic Diseases, The Connecticut Agricultural Experiment Station, 123 Huntington Street, 06511 New Haven, CT, USA.,Ecology and Evolutionary Biology Department, Yale University, 165 Prospect Street, 06520-8106 New Haven, CT, USA
| | - Etienne Simon-Lorière
- Evolutionary Genomics of RNA Viruses, Department of Virology, Institut Pasteur, 28 rue du Docteur Roux, 75015 Paris, France
| | - Louis Lambrechts
- Insect-Virus Interactions Unit, Department of Virology, Institut Pasteur, UMR2000, CNRS, 28 rue du Docteur Roux, 75015 Paris, France
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45
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Gaye A, Sy M, Ndiaye T, Siddle KJ, Park DJ, Deme AB, Mbaye A, Dieye B, Ndiaye YD, Neafsey DE, Early A, Farrell T, Yade MS, Diallo MA, Diongue K, Bei A, Ndiaye IM, Volkman SK, Badiane AS, Ndiaye D. Amplicon deep sequencing of kelch13 in Plasmodium falciparum isolates from Senegal. Malar J 2020; 19:134. [PMID: 32228566 PMCID: PMC7106636 DOI: 10.1186/s12936-020-03193-w] [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: 08/20/2019] [Accepted: 03/20/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In 2006, the Senegalese National Malaria Control Programme recommended artemisinin-based combination therapy (ACT) with artemether-lumefantrine as the first-line treatment for uncomplicated Plasmodium falciparum malaria. To date, multiple mutations associated with artemisinin delayed parasite clearance have been described in Southeast Asia in the Pfk13 gene, such as Y493H, R539T, I543T and C580Y. Even though ACT remains clinically and parasitologically efficacious in Senegal, the spread of resistance is possible as shown by the earlier emergence of resistance to chloroquine in Southeast Asia that subsequently spread to Africa. Therefore, surveillance of artemisinin resistance in malaria endemic regions is crucial and requires the implementation of sensitive tools, such as next-generation sequencing (NGS) which can detect novel mutations at low frequency. METHODS Here, an amplicon sequencing approach was used to identify mutations in the Pfk13 gene in eighty-one P. falciparum isolates collected from three different regions of Senegal. RESULTS In total, 10 SNPs around the propeller domain were identified; one synonymous SNP and nine non-synonymous SNPs, and two insertions. Three of these SNPs (T478T, A578S and V637I) were located in the propeller domain. A578S, is the most frequent mutation observed in Africa, but has not previously been reported in Senegal. A previous study has suggested that A578S could disrupt the function of the Pfk13 propeller region. CONCLUSION As the genetic basis of possible artemisinin resistance may be distinct in Africa and Southeast Asia, further studies are necessary to assess the new SNPs reported in this study.
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Affiliation(s)
- Amy Gaye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal.
| | - Mouhamad Sy
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Tolla Ndiaye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | | | - Daniel J Park
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Awa B Deme
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Aminata Mbaye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Baba Dieye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Yaye Die Ndiaye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Daniel E Neafsey
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Angela Early
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Mamadou Samb Yade
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Mamadou Alpha Diallo
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Khadim Diongue
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Amy Bei
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal.,Yale School of Public Health, Laboratory of Epidemiology and Public Health, 60 College Street, New Haven, CT, 06510, USA
| | - Ibrahima Mbaye Ndiaye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Sarah K Volkman
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Aida Sadikh Badiane
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
| | - Daouda Ndiaye
- Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University, Dakar, Senegal
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46
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Spatially distinct physiology of Bacteroides fragilis within the proximal colon of gnotobiotic mice. Nat Microbiol 2020; 5:746-756. [PMID: 32152589 PMCID: PMC7426998 DOI: 10.1038/s41564-020-0683-3] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 02/03/2020] [Indexed: 12/11/2022]
Abstract
A complex microbiota inhabits various microenvironments of the gut, with some symbiotic bacteria having evolved traits to invade the epithelial mucus layer and reside deep within intestinal tissue of animals. Whether these distinct bacterial communities across gut biogeographies exhibit divergent behaviors remains largely unknown. Global transcriptomic analysis to investigate microbial physiology in specific mucosal niches has been hampered technically by overabundance of host RNA. Herein, we employed hybrid selection RNA sequencing (hsRNA-Seq) to enable detailed spatial transcriptomic profiling of a prominent human commensal as it colonizes the colonic lumen, mucus or epithelial tissue of mice. Compared to conventional RNA-Seq, hsRNA-Seq increased reads mapping to the Bacteroides fragilis genome by 48- and 154-fold in mucus and tissue, respectively, allowing for high fidelity comparisons across biogeographic sites. Near the epithelium, B. fragilis up-regulated numerous genes involved in protein synthesis, indicating that bacteria inhabiting the mucosal niche are metabolically active. Further, a specific sulfatase (BF3086) and glycosyl hydrolase (BF3134) were highly induced in mucus and tissue compared to bacteria in the lumen. In-frame deletion of these genes impaired in vitro growth on mucus as a carbon source, as well as mucosal colonization of mice. Mutants in either B. fragilis gene displayed a fitness defect in competing for colonization against bacterial challenge, revealing the importance of site-specific gene expression for robust host-microbial symbiosis. As a versatile tool, hsRNA-Seq can be deployed to explore the in vivo spatial physiology of numerous bacterial pathogens or commensals.
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47
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Poore GD, Kopylova E, Zhu Q, Carpenter C, Fraraccio S, Wandro S, Kosciolek T, Janssen S, Metcalf J, Song SJ, Kanbar J, Miller-Montgomery S, Heaton R, Mckay R, Patel SP, Swafford AD, Knight R. Microbiome analyses of blood and tissues suggest cancer diagnostic approach. Nature 2020; 579:567-574. [PMID: 32214244 PMCID: PMC7500457 DOI: 10.1038/s41586-020-2095-1] [Citation(s) in RCA: 613] [Impact Index Per Article: 153.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 02/06/2020] [Indexed: 01/05/2023]
Abstract
Systematic characterization of the cancer microbiome provides the opportunity to develop techniques that exploit non-human, microorganism-derived molecules in the diagnosis of a major human disease. Following recent demonstrations that some types of cancer show substantial microbial contributions1-10, we re-examined whole-genome and whole-transcriptome sequencing studies in The Cancer Genome Atlas11 (TCGA) of 33 types of cancer from treatment-naive patients (a total of 18,116 samples) for microbial reads, and found unique microbial signatures in tissue and blood within and between most major types of cancer. These TCGA blood signatures remained predictive when applied to patients with stage Ia-IIc cancer and cancers lacking any genomic alterations currently measured on two commercial-grade cell-free tumour DNA platforms, despite the use of very stringent decontamination analyses that discarded up to 92.3% of total sequence data. In addition, we could discriminate among samples from healthy, cancer-free individuals (n = 69) and those from patients with multiple types of cancer (prostate, lung, and melanoma; 100 samples in total) solely using plasma-derived, cell-free microbial nucleic acids. This potential microbiome-based oncology diagnostic tool warrants further exploration.
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Affiliation(s)
- Gregory D Poore
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Evguenia Kopylova
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Clarity Genomics, Beerse, Belgium
| | - Qiyun Zhu
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Carolina Carpenter
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Serena Fraraccio
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Stephen Wandro
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Tomasz Kosciolek
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Malopolska Centre of Biotechnology, Jagiellonian University in Krakow, Krakow, Poland
| | - Stefan Janssen
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Algorithmic Bioinformatics, Department of Biology and Chemistry, Justus Liebig University Gießen, Gießen, Germany
| | - Jessica Metcalf
- Department of Animal Sciences, Colorado State University, Fort Collins, CO, USA
| | - Se Jin Song
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Jad Kanbar
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Sandrine Miller-Montgomery
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Robert Heaton
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Rana Mckay
- Moores Cancer Center, University of California San Diego Health, La Jolla, CA, USA
| | - Sandip Pravin Patel
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego Health, La Jolla, CA, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA.
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
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48
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Kiselev D, Matsvay A, Abramov I, Dedkov V, Shipulin G, Khafizov K. Current Trends in Diagnostics of Viral Infections of Unknown Etiology. Viruses 2020; 12:E211. [PMID: 32074965 PMCID: PMC7077230 DOI: 10.3390/v12020211] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 02/10/2020] [Accepted: 02/12/2020] [Indexed: 12/27/2022] Open
Abstract
Viruses are evolving at an alarming rate, spreading and inconspicuously adapting to cutting-edge therapies. Therefore, the search for rapid, informative and reliable diagnostic methods is becoming urgent as ever. Conventional clinical tests (PCR, serology, etc.) are being continually optimized, yet provide very limited data. Could high throughput sequencing (HTS) become the future gold standard in molecular diagnostics of viral infections? Compared to conventional clinical tests, HTS is universal and more precise at profiling pathogens. Nevertheless, it has not yet been widely accepted as a diagnostic tool, owing primarily to its high cost and the complexity of sample preparation and data analysis. Those obstacles must be tackled to integrate HTS into daily clinical practice. For this, three objectives are to be achieved: (1) designing and assessing universal protocols for library preparation, (2) assembling purpose-specific pipelines, and (3) building computational infrastructure to suit the needs and financial abilities of modern healthcare centers. Data harvested with HTS could not only augment diagnostics and help to choose the correct therapy, but also facilitate research in epidemiology, genetics and virology. This information, in turn, could significantly aid clinicians in battling viral infections.
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Affiliation(s)
- Daniel Kiselev
- FSBI “Center of Strategic Planning” of the Ministry of Health, 119435 Moscow, Russia; (D.K.); (A.M.); (I.A.); (G.S.)
- I.M. Sechenov First Moscow State Medical University, 119146 Moscow, Russia
| | - Alina Matsvay
- FSBI “Center of Strategic Planning” of the Ministry of Health, 119435 Moscow, Russia; (D.K.); (A.M.); (I.A.); (G.S.)
- Moscow Institute of Physics and Technology, National Research University, 117303 Moscow, Russia
| | - Ivan Abramov
- FSBI “Center of Strategic Planning” of the Ministry of Health, 119435 Moscow, Russia; (D.K.); (A.M.); (I.A.); (G.S.)
| | - Vladimir Dedkov
- Pasteur Institute, Federal Service on Consumers’ Rights Protection and Human Well-Being Surveillance, 197101 Saint-Petersburg, Russia;
- Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, Sechenov First Moscow State Medical University, 119146 Moscow, Russia
| | - German Shipulin
- FSBI “Center of Strategic Planning” of the Ministry of Health, 119435 Moscow, Russia; (D.K.); (A.M.); (I.A.); (G.S.)
| | - Kamil Khafizov
- FSBI “Center of Strategic Planning” of the Ministry of Health, 119435 Moscow, Russia; (D.K.); (A.M.); (I.A.); (G.S.)
- Moscow Institute of Physics and Technology, National Research University, 117303 Moscow, Russia
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49
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Wohl S, Metsky HC, Schaffner SF, Piantadosi A, Burns M, Lewnard JA, Chak B, Krasilnikova LA, Siddle KJ, Matranga CB, Bankamp B, Hennigan S, Sabina B, Byrne EH, McNall RJ, Shah RR, Qu J, Park DJ, Gharib S, Fitzgerald S, Barreira P, Fleming S, Lett S, Rota PA, Madoff LC, Yozwiak NL, MacInnis BL, Smole S, Grad YH, Sabeti PC. Combining genomics and epidemiology to track mumps virus transmission in the United States. PLoS Biol 2020; 18:e3000611. [PMID: 32045407 PMCID: PMC7012397 DOI: 10.1371/journal.pbio.3000611] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 01/03/2020] [Indexed: 01/24/2023] Open
Abstract
Unusually large outbreaks of mumps across the United States in 2016 and 2017 raised questions about the extent of mumps circulation and the relationship between these and prior outbreaks. We paired epidemiological data from public health investigations with analysis of mumps virus whole genome sequences from 201 infected individuals, focusing on Massachusetts university communities. Our analysis suggests continuous, undetected circulation of mumps locally and nationally, including multiple independent introductions into Massachusetts and into individual communities. Despite the presence of these multiple mumps virus lineages, the genomic data show that one lineage has dominated in the US since at least 2006. Widespread transmission was surprising given high vaccination rates, but we found no genetic evidence that variants arising during this outbreak contributed to vaccine escape. Viral genomic data allowed us to reconstruct mumps transmission links not evident from epidemiological data or standard single-gene surveillance efforts and also revealed connections between apparently unrelated mumps outbreaks.
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Affiliation(s)
- Shirlee Wohl
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Hayden C. Metsky
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Stephen F. Schaffner
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
- Department of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Anne Piantadosi
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Meagan Burns
- Massachusetts Department of Public Health, Jamaica Plain, Massachusetts, United States of America
| | - Joseph A. Lewnard
- Division of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, California, United States of America
| | - Bridget Chak
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Lydia A. Krasilnikova
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Katherine J. Siddle
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Christian B. Matranga
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Bettina Bankamp
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Scott Hennigan
- Massachusetts Department of Public Health, Jamaica Plain, Massachusetts, United States of America
| | - Brandon Sabina
- Massachusetts Department of Public Health, Jamaica Plain, Massachusetts, United States of America
| | - Elizabeth H. Byrne
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Rebecca J. McNall
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Rickey R. Shah
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - James Qu
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Daniel J. Park
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Soheyla Gharib
- Harvard University Health Services, Harvard University, Cambridge, Massachusetts, United States of America
| | - Susan Fitzgerald
- Harvard University Health Services, Harvard University, Cambridge, Massachusetts, United States of America
| | - Paul Barreira
- Harvard University Health Services, Harvard University, Cambridge, Massachusetts, United States of America
| | - Stephen Fleming
- Massachusetts Department of Public Health, Jamaica Plain, Massachusetts, United States of America
| | - Susan Lett
- Massachusetts Department of Public Health, Jamaica Plain, Massachusetts, United States of America
| | - Paul A. Rota
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Lawrence C. Madoff
- Massachusetts Department of Public Health, Jamaica Plain, Massachusetts, United States of America
- Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America
| | - Nathan L. Yozwiak
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Bronwyn L. MacInnis
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Department of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Sandra Smole
- Massachusetts Department of Public Health, Jamaica Plain, Massachusetts, United States of America
| | - Yonatan H. Grad
- Department of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America
- Center for Communicable Disease Dynamics, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America
- Division of Infectious Diseases, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Pardis C. Sabeti
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
- Department of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America
- Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
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50
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Ji P, Aw TG, Van Bonn W, Rose JB. Evaluation of a portable nanopore-based sequencer for detection of viruses in water. J Virol Methods 2019; 278:113805. [PMID: 31891731 DOI: 10.1016/j.jviromet.2019.113805] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 12/18/2019] [Accepted: 12/19/2019] [Indexed: 12/20/2022]
Abstract
The newly emerged nanopore sequencing technology such as MinION™ allows for real-time detection of long DNA/RNA fragments on a portable device, yet few have examined its performance for environmental viromes. Here we seeded one RNA virus bacteriophage MS2 and one DNA virus bacteriophage PhiX174 into 10 L well water at three levels ranging from 1 to 21,100 plaque-forming units (PFU)/mL. Two workflows were established to maximize the number of sequencing reads of RNA and DNA viruses using MinION™. With dead-end ultrafiltration, PEG precipitation, and random amplification, MinION™ was capable of detecting MS2 at 155 PFU/mL and PhiX174 at 1-2 PFU/mL. While the DNA workflow only detected PhiX174, the RNA workflow detected both MS2 and PhiX174. The virus concentration, or relative abundance of viral nucleic acids in total nucleic acids, is critical to the proportion of viral reads in sequencing results. Our findings also highlight the importance of including control samples in sequencing runs for environmental water samples with low virus abundance.
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Affiliation(s)
- Pan Ji
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA
| | - Tiong Gim Aw
- Department of Environmental Health Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - William Van Bonn
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA; A. Watson Armour III Center for Animal Health and Welfare, John G. Shedd Aquarium, Chicago, IL 60605, USA
| | - Joan B Rose
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA.
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