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Furusawa Y, Iwatsuki-Horimoto K, Yamayoshi S, Kawaoka Y. The NSP6-L260F substitution in SARS-CoV-2 BQ.1.1 and XBB.1.16 lineages compensates for the reduced viral polymerase activity caused by mutations in NSP13 and NSP14. J Virol 2025:e0065625. [PMID: 40358207 DOI: 10.1128/jvi.00656-25] [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: 04/10/2025] [Accepted: 04/21/2025] [Indexed: 05/15/2025] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variants emerged at the end of 2021, and their subvariants are still circulating worldwide. While changes in the S protein of these variants have been extensively studied, the roles of amino acid substitutions in non-structural proteins have not been fully revealed. In this study, we found that SARS-CoV-2 bearing the NSP6-L260F substitution emerged repeatedly when we generated several SARS-CoV-2 variants by reverse genetics or when we passaged SARS-CoV-2 isolated from clinical samples and that it was selected under cell culture conditions. Although this substitution has been detected in BQ.1.1 and XBB.1.16 that circulated in nature, its effect on viral properties is unclear. Here, we generated SARS-CoV-2 with or without the NSP6-L260F by reverse genetics and found that NSP6-L260F promotes virus replication in vitro and in vivo by increasing viral polymerase activity and enhancing virus pathogenicity in hamsters. We also identified disadvantageous substitutions, NSP13-M233I and NSP14-D222Y, that reduced BQ.1.1 and XBB.1.16 replication, respectively. These adverse effects were compensated for by NSP6-L260F. Our findings suggest the importance of NSP6-L260F for virus replication and pathogenicity and reveal part of the evolutionary process of Omicron variants.IMPORTANCEAlthough the properties of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variants continue to change through the acquisition of various amino acid substitutions, the roles of the amino acid substitutions in the non-structural proteins have not been fully explored. In this study, we found that the NSP6-L260F substitution enhances viral polymerase activity and is important for viral replication and pathogenicity. In addition, we found that the NSP13-M233I substitution in the BQ.1.1 lineage and the NSP14-D222Y substitution in the XBB.1.16 lineage reduce viral polymerase activity, and this adverse effect is compensated for by the NSP6-L260F substitution. Our results provide insight into the evolutionary process of SARS-CoV-2.
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Affiliation(s)
- Yuri Furusawa
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Shinjuku, Tokyo, Japan
- Division of Virology, Institute of Medical Science, University of Tokyo, Bunkyo, Tokyo, Japan
| | - Kiyoko Iwatsuki-Horimoto
- Division of Virology, Institute of Medical Science, University of Tokyo, Bunkyo, Tokyo, Japan
- The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center, Tokyo, Japan
| | - Seiya Yamayoshi
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Shinjuku, Tokyo, Japan
- Division of Virology, Institute of Medical Science, University of Tokyo, Bunkyo, Tokyo, Japan
- The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center, Tokyo, Japan
- International Research Center for Infectious Diseases, Institute of Medical Science, University of Tokyo, Bunkyo, Tokyo, Japan
| | - Yoshihiro Kawaoka
- The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Shinjuku, Tokyo, Japan
- Division of Virology, Institute of Medical Science, University of Tokyo, Bunkyo, Tokyo, Japan
- The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center, Tokyo, Japan
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA
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2
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Yeh TY, Feehley PJ, Feehley MC, Ooi VY, Wu PC, Hsieh F, Chiu SS, Su YC, Lewis MS, Contreras GP. The packaging signal of Xanthomonas integrative filamentous phages. Virology 2024; 600:110279. [PMID: 39492088 DOI: 10.1016/j.virol.2024.110279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 10/20/2024] [Accepted: 10/26/2024] [Indexed: 11/05/2024]
Abstract
Unlike Ff, the packaging signal (PS) and the mechanism of integrative filamentous phage assembly remains largely unknown. Here we revived two Inoviridae prophage sequences, ϕLf2 and ϕLf-UK, as infectious virions that lysogenize black rot pathogen Xanthomonas campestris pv. campestris. The genomes of ϕLf2 and ϕLf-UK consist of 6363 and 6062 nucleotides each, and share 85.8% and 98.7% identity with ϕLf, respectively. To explore integrative filamentous phage assembly, we first identified 20-26-nucleotide long PS sequences of 10 Xanthomonas phages. These PS consist of a DNA hairpin with the consensus GGX(A/-)CCG(C/T)G sequence in the stem and C/T nucleotides in the loop, both of which are conserved and essential for PS activity. In contrast to Ff, the 5' to 3' orientation of the PS sequence is not conserved or critical for viral competence. This is the first report to offer insights into the structure and function of the integrative phage PS, revealing the diversity of filamentous phage encapsidation.
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Affiliation(s)
- Ting-Yu Yeh
- Agricultural Biotechnology Laboratory, Auxergen Inc., Riti Rossi Colwell Center, 701 E Pratt Street, Baltimore, MD 21202, USA; Auxergen S.r.l., Tecnopolis Science and Tecnopolis Park of the University of Bari, Valenzano, BA, Italy.
| | - Patrick J Feehley
- Agricultural Biotechnology Laboratory, Auxergen Inc., Riti Rossi Colwell Center, 701 E Pratt Street, Baltimore, MD 21202, USA; Auxergen S.r.l., Tecnopolis Science and Tecnopolis Park of the University of Bari, Valenzano, BA, Italy
| | - Michael C Feehley
- Agricultural Biotechnology Laboratory, Auxergen Inc., Riti Rossi Colwell Center, 701 E Pratt Street, Baltimore, MD 21202, USA; Auxergen S.r.l., Tecnopolis Science and Tecnopolis Park of the University of Bari, Valenzano, BA, Italy
| | - Vivian Y Ooi
- Walt Whitman High School, Bethesda, MD 20817, USA
| | - Pei-Chen Wu
- Taipei Wego Private Senior High School, Taipei City 11254, Taiwan
| | - Frederick Hsieh
- Taipei Municipal Yu Cheng Senior High School, Taipei City 11560, Taiwan
| | - Serena S Chiu
- Neuroscience Program, School of Arts and Sciences, Brandeis University, Waltham, MA 02453, USA
| | - Yung-Ching Su
- National Tainan Girls' Senior High School, Tainan City 700011, Taiwan
| | - Maxwell S Lewis
- Agricultural Biotechnology Laboratory, Auxergen Inc., Riti Rossi Colwell Center, 701 E Pratt Street, Baltimore, MD 21202, USA; Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA
| | - Gregory P Contreras
- Agricultural Biotechnology Laboratory, Auxergen Inc., Riti Rossi Colwell Center, 701 E Pratt Street, Baltimore, MD 21202, USA; Auxergen S.r.l., Tecnopolis Science and Tecnopolis Park of the University of Bari, Valenzano, BA, Italy
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3
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Tamayo-Ordóñez YDJ, Rosas-García NM, Tamayo-Ordoñez FA, Ayil-Gutiérrez BA, Bello-López JM, Sosa-Santillán GDJ, Acosta-Cruz E, Anguebes-Franseschi F, Damas-Damas S, Domínguez-May AV, Córdova-Quiroz AV, Tamayo-Ordóñez MC. Genomic Evolution Strategy in SARS-CoV-2 Lineage B: Coevolution of Cis Elements. Curr Issues Mol Biol 2024; 46:5744-5776. [PMID: 38921015 PMCID: PMC11203041 DOI: 10.3390/cimb46060344] [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: 04/10/2024] [Revised: 05/14/2024] [Accepted: 05/26/2024] [Indexed: 06/27/2024] Open
Abstract
In the SARS-CoV-2 lineage, RNA elements essential for its viral life cycle, including genome replication and gene expression, have been identified. Still, the precise structures and functions of these RNA regions in coronaviruses remain poorly understood. This lack of knowledge points out the need for further research to better understand these crucial aspects of viral biology and, in time, prepare for future outbreaks. In this research, the in silico analysis of the cis RNA structures that act in the alpha-, beta-, gamma-, and deltacoronavirus genera has provided a detailed view of the presence and adaptation of the structures of these elements in coronaviruses. The results emphasize the importance of these cis elements in viral biology and their variability between different viral variants. Some coronavirus variants in some groups, depending on the cis element (stem-loop1 and -2; pseudoknot stem-loop1 and -2, and s2m), exhibited functional adaptation. Additionally, the conformation flexibility of the s2m element in the SARS variants was determined, suggesting a coevolution of this element in this viral group. The variability in secondary structures suggests genomic adaptations that may be related to replication processes, genetic regulation, as well as the specific pathogenicity of each variant. The results suggest that RNA structures in coronaviruses can adapt and evolve toward different viral variants, which has important implications for viral adaptation, pathogenicity, and future therapeutic strategies.
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Affiliation(s)
- Yahaira de J. Tamayo-Ordóñez
- Laboratorio de Biotecnología Ambiental del Centro de Biotecnología Genómica, Instituto Politécnico Nacional, Reynosa 88710, Tamps, Mexico;
| | - Ninfa M. Rosas-García
- Laboratorio de Biotecnología Ambiental del Centro de Biotecnología Genómica, Instituto Politécnico Nacional, Reynosa 88710, Tamps, Mexico;
| | - Francisco A. Tamayo-Ordoñez
- Facultad de Química, Universidad Autónoma del Carmen, Calle 56 N. 4, Av. Concordia Col. Benito Juárez, Ciudad del Carmen 24180, Campeche, Mexico; (F.A.T.-O.); (F.A.-F.); (S.D.-D.); (A.V.C.-Q.)
| | - Benjamín A. Ayil-Gutiérrez
- CONAHCYT—Centro de Biotecnología Genómica, Instituto Politécnico Nacional, Biotecnología Vegetal, Reynosa 88710, Tamps, Mexico;
| | - Juan M. Bello-López
- División de Investigación, Hospital Juárez de México, Ciudad de México 07760, Mexico;
| | - Gerardo de J. Sosa-Santillán
- Laboratorio de Microbiología y Biosíntesis, Departamento de Biotecnología, Facultad de Ciencias Químicas, Universidad Autónoma de Coahuila, Saltillo 25280, Coahuila, Mexico;
| | - Erika Acosta-Cruz
- Laboratorio de Microbiología Molecular, Departamento de Biotecnología, Facultad de Ciencias Químicas, Universidad Autónoma de Coahuila, Saltillo 25280, Coahuila, Mexico;
| | - Francisco Anguebes-Franseschi
- Facultad de Química, Universidad Autónoma del Carmen, Calle 56 N. 4, Av. Concordia Col. Benito Juárez, Ciudad del Carmen 24180, Campeche, Mexico; (F.A.T.-O.); (F.A.-F.); (S.D.-D.); (A.V.C.-Q.)
| | - Siprian Damas-Damas
- Facultad de Química, Universidad Autónoma del Carmen, Calle 56 N. 4, Av. Concordia Col. Benito Juárez, Ciudad del Carmen 24180, Campeche, Mexico; (F.A.T.-O.); (F.A.-F.); (S.D.-D.); (A.V.C.-Q.)
| | - Angel V. Domínguez-May
- TecNM, Instituto Tecnológico Superior del Sur del Estado de Yucatán, Road Muna-Felipe Carrillo Puerto, Stretch Oxkutzcab-Akil Km 41+400, Oxkutzcab 97880, Yucatán, Mexico;
| | - Atl Victor Córdova-Quiroz
- Facultad de Química, Universidad Autónoma del Carmen, Calle 56 N. 4, Av. Concordia Col. Benito Juárez, Ciudad del Carmen 24180, Campeche, Mexico; (F.A.T.-O.); (F.A.-F.); (S.D.-D.); (A.V.C.-Q.)
| | - María Concepción Tamayo-Ordóñez
- Laboratorio de Ingeniería Genética, Departamento de Biotecnología, Facultad de Ciencias Químicas, Universidad Autónoma de Coahuila, Saltillo 25280, Coahuila, Mexico
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4
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Feng Y, Yi J, Yang L, Wang Y, Wen J, Zhao W, Kim P, Zhou X. COV2Var, a function annotation database of SARS-CoV-2 genetic variation. Nucleic Acids Res 2024; 52:D701-D713. [PMID: 37897356 PMCID: PMC10767816 DOI: 10.1093/nar/gkad958] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/29/2023] [Accepted: 10/16/2023] [Indexed: 10/30/2023] Open
Abstract
The COVID-19 pandemic, caused by the coronavirus SARS-CoV-2, has resulted in the loss of millions of lives and severe global economic consequences. Every time SARS-CoV-2 replicates, the viruses acquire new mutations in their genomes. Mutations in SARS-CoV-2 genomes led to increased transmissibility, severe disease outcomes, evasion of the immune response, changes in clinical manifestations and reducing the efficacy of vaccines or treatments. To date, the multiple resources provide lists of detected mutations without key functional annotations. There is a lack of research examining the relationship between mutations and various factors such as disease severity, pathogenicity, patient age, patient gender, cross-species transmission, viral immune escape, immune response level, viral transmission capability, viral evolution, host adaptability, viral protein structure, viral protein function, viral protein stability and concurrent mutations. Deep understanding the relationship between mutation sites and these factors is crucial for advancing our knowledge of SARS-CoV-2 and for developing effective responses. To fill this gap, we built COV2Var, a function annotation database of SARS-CoV-2 genetic variation, available at http://biomedbdc.wchscu.cn/COV2Var/. COV2Var aims to identify common mutations in SARS-CoV-2 variants and assess their effects, providing a valuable resource for intensive functional annotations of common mutations among SARS-CoV-2 variants.
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Affiliation(s)
- Yuzhou Feng
- Department of Laboratory Medicine and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- Med-X Center for Informatics, Sichuan University, Chengdu 610041, China
| | - Jiahao Yi
- School of Big Health, Guizhou Medical University, Guiyang 550025, China
| | - Lin Yang
- Department of Cardiology and Laboratory of Gene Therapy for Heart Diseases, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu 610041, China
| | - Yanfei Wang
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jianguo Wen
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Weiling Zhao
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Pora Kim
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Xiaobo Zhou
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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5
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Zhang X, Ruan Z, Zheng M, Zhou J, Boccaletti S, Barzel B. Epidemic spreading under mutually independent intra- and inter-host pathogen evolution. Nat Commun 2022; 13:6218. [PMID: 36266285 PMCID: PMC9584276 DOI: 10.1038/s41467-022-34027-9] [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: 04/07/2021] [Accepted: 10/10/2022] [Indexed: 12/24/2022] Open
Abstract
The dynamics of epidemic spreading is often reduced to the single control parameter R0 (reproduction-rate), whose value, above or below unity, determines the state of the contagion. If, however, the pathogen evolves as it spreads, R0 may change over time, potentially leading to a mutation-driven spread, in which an initially sub-pandemic pathogen undergoes a breakthrough mutation. To predict the boundaries of this pandemic phase, we introduce here a modeling framework to couple the inter-host network spreading patterns with the intra-host evolutionary dynamics. We find that even in the extreme case when these two process are driven by mutually independent selection forces, mutations can still fundamentally alter the pandemic phase-diagram. The pandemic transitions, we show, are now shaped, not just by R0, but also by the balance between the epidemic and the evolutionary timescales. If mutations are too slow, the pathogen prevalence decays prior to the appearance of a critical mutation. On the other hand, if mutations are too rapid, the pathogen evolution becomes volatile and, once again, it fails to spread. Between these two extremes, however, we identify a broad range of conditions in which an initially sub-pandemic pathogen can breakthrough to gain widespread prevalence.
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Affiliation(s)
- Xiyun Zhang
- Department of Physics, Jinan University, Guangzhou, Guangdong, 510632, China.
| | - Zhongyuan Ruan
- Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, Zhejiang, 310023, China
| | - Muhua Zheng
- School of Physics and Electronic Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
| | - Jie Zhou
- School of Physics and Electronic Science, East China Normal University, Shanghai, 200241, China
| | - Stefano Boccaletti
- CNR - Institute of Complex Systems, Via Madonna del Piano 10, I-50019, Sesto Fiorentino, Italy
- Moscow Institute of Physics and Technology (National Research University), 9 Institutskiy per., Dolgoprudny, Moscow Region, 141701, Russian Federation
- Universidad Rey Juan Carlos, Calle Tulipán s/n, 28933 Móstoles, Madrid, Spain
| | - Baruch Barzel
- Department of Mathematics, Bar-Ilan University, Ramat-Gan, 5290002, Israel
- Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, 5290002, Israel
- Network Science Institute, Northeastern University, Boston, MA, 02115, USA
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6
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Rosca EC, Heneghan C, Spencer EA, Brassey J, Plüddemann A, Onakpoya IJ, Evans D, Conly JM, Jefferson T. Transmission of SARS-CoV-2 Associated with Cruise Ship Travel: A Systematic Review. Trop Med Infect Dis 2022; 7:290. [PMID: 36288031 PMCID: PMC9610645 DOI: 10.3390/tropicalmed7100290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/04/2022] [Accepted: 10/05/2022] [Indexed: 11/22/2022] Open
Abstract
Background: Maritime and river travel may be associated with respiratory viral spread via infected passengers and/or crew and potentially through other transmission routes. The transmission models of SARS-CoV-2 associated with cruise ship travel are based on transmission dynamics of other respiratory viruses. We aimed to provide a summary and evaluation of relevant data on SARS-CoV-2 transmission aboard cruise ships, report policy implications, and highlight research gaps. Methods: We searched four electronic databases (up to 26 May 2022) and included studies on SARS-CoV-2 transmission aboard cruise ships. The quality of the studies was assessed based on five criteria, and relevant findings were reported. Results: We included 23 papers on onboard SARS-CoV-2 transmission (with 15 reports on different aspects of the outbreak on Diamond Princess and nine reports on other international cruises), 2 environmental studies, and 1 systematic review. Three articles presented data on both international cruises and the Diamond Princess. The quality of evidence from most studies was low to very low. Index case definitions were heterogeneous. The proportion of traced contacts ranged from 0.19 to 100%. Studies that followed up >80% of passengers and crew reported attack rates (AR) up to 59%. The presence of a distinct dose−response relationship was demonstrated by findings of increased ARs in multi-person cabins. Two studies performed viral cultures with eight positive results. Genomic sequencing and phylogenetic analyses were performed in individuals from three cruises. Two environmental studies reported PCR-positive samples (cycle threshold range 26.21−39.00). In one study, no infectious virus was isolated from any of the 76 environmental samples. Conclusion: Our review suggests that crowding and multiple persons per cabin were associated with an increased risk of transmission on cruise ships. Variations in design, methodology, and case ascertainment limit comparisons across studies and quantification of transmission risk. Standardized guidelines for conducting and reporting studies on cruise ships of acute respiratory infection transmission should be developed.
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Affiliation(s)
- Elena Cecilia Rosca
- Department of Neurology, Victor Babes University of Medicine and Pharmacy, Piata Eftimie Murgu 2, 300041 Timisoara, Romania
| | - Carl Heneghan
- Centre for Evidence Based Medicine, Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford OX2 6GG, UK
| | - Elizabeth A. Spencer
- Centre for Evidence Based Medicine, Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford OX2 6GG, UK
| | - Jon Brassey
- Trip Database Ltd., Glasllwch Lane, Newport NP20 3PS, UK
| | - Annette Plüddemann
- Centre for Evidence Based Medicine, Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford OX2 6GG, UK
| | - Igho J. Onakpoya
- Department for Continuing Education, University of Oxford, Rewley House, 1 Wellington Square, Oxford OX1 2JA, UK
| | - David Evans
- Li Ka Shing Institute of Virology, and Department of Medical Microbiology & Immunology, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - John M. Conly
- Departments of Medicine, Microbiology, Immunology & Infectious Diseases, and Pathology & Laboratory Medicine, Synder Institute for Chronic Diseases and O’Brien Institute for Public Health, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, AB T2N 4N1, Canada
| | - Tom Jefferson
- Department for Continuing Education, University of Oxford, Rewley House, 1 Wellington Square, Oxford OX1 2JA, UK
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7
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Cer RZ, Voegtly LJ, Adhikari BN, Pike BL, Lueder MR, Glang LA, Malagon F, Ana ES, Regeimbal JM, Potts-Szoke MF, Schully KL, Smith DR, Bishop-Lilly KA. Genomic and virologic characterization of samples from a shipboard outbreak of COVID-19 reveals distinct variants within limited temporospatial parameters. Front Microbiol 2022; 13:960932. [PMID: 36033872 PMCID: PMC9399806 DOI: 10.3389/fmicb.2022.960932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 07/05/2022] [Indexed: 11/13/2022] Open
Abstract
Early in the pandemic, in March of 2020, an outbreak of COVID-19 occurred aboard the aircraft carrier USS Theodore Roosevelt (CVN-71), during deployment in the Western Pacific. Out of the crew of 4,779 personnel, 1,331 service members were suspected or confirmed to be infected with SARS-CoV-2. The demographic, epidemiologic, and laboratory findings of service members from subsequent investigations have characterized the outbreak as widespread transmission of virus with relatively mild symptoms and asymptomatic infection among mostly young healthy adults. At the time, there was no available vaccination against COVID-19 and there was very limited knowledge regarding SARS-CoV-2 mutation, dispersal, and transmission patterns among service members in a shipboard environment. Since that time, other shipboard outbreaks from which data can be extracted have occurred, but these later shipboard outbreaks have occurred largely in settings where the majority of the crew were vaccinated, thereby limiting spread of the virus, shortening duration of the outbreaks, and minimizing evolution of the virus within those close quarters settings. On the other hand, since the outbreak on the CVN-71 occurred prior to widespread vaccination, it continued over the course of roughly two months, infecting more than 25% of the crew. In order to better understand genetic variability and potential transmission dynamics of COVID-19 in a shipboard environment of immunologically naïve, healthy individuals, we performed whole-genome sequencing and virus culture from eighteen COVID-19-positive swabs collected over the course of one week. Using the unique variants identified in those genomes, we detected seven discrete groups of individuals within the population aboard CVN-71 infected with viruses of distinct genomic signature. This is in stark contrast to a recent outbreak aboard another U.S. Navy ship with >98% vaccinated crew after a port visit in Reykjavik, Iceland, where the outbreak lasted only approximately 2 weeks and the virus was clonal. Taken together, these results demonstrate the utility of sequencing from complex clinical samples for molecular epidemiology and they also suggest that a high rate of vaccination among a population in close communities may greatly reduce spread, thereby restricting evolution of the virus.
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Affiliation(s)
- Regina Z. Cer
- Department of Genomics and Bioinformatics, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
| | - Logan J. Voegtly
- Department of Genomics and Bioinformatics, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
- Leidos, Reston, VA, United States
| | - Bishwo N. Adhikari
- Department of Genomics and Bioinformatics, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
- Defense Threat Reduction Agency, Ft. Belvoir, VA, United States
| | - Brian L. Pike
- Department of Operations, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
| | - Matthew R. Lueder
- Department of Genomics and Bioinformatics, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
- Leidos, Reston, VA, United States
| | - Lindsay A. Glang
- Department of Genomics and Bioinformatics, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
- Leidos, Reston, VA, United States
| | - Francisco Malagon
- Department of Genomics and Bioinformatics, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
- Leidos, Reston, VA, United States
| | - Ernesto Santa Ana
- Department of Operations, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
| | - James M. Regeimbal
- Department of Operations, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
| | - Maria F. Potts-Szoke
- Department of Operations, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
| | - Kevin L. Schully
- The Austere Environments Consortium for Enhanced Sepsis Outcomes (ACESO), Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
| | - Darci R. Smith
- Department of Microbiology and Immunology, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
| | - Kimberly A. Bishop-Lilly
- Department of Genomics and Bioinformatics, Biological Defense Research Directorate, Naval Medical Research Center, Fort Detrick, MD, United States
- *Correspondence: Kimberly A. Bishop-Lilly,
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