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Arbi M, Khedhiri M, Ayouni K, Souiai O, Dhouib S, Ghanmi N, Benkahla A, Triki H, Haddad-Boubaker S. Recombination Events Among SARS-CoV-2 Omicron Subvariants: Impact on Spike Interaction With ACE2 Receptor and Neutralizing Antibodies. Evol Bioinform Online 2024; 20:11769343241272415. [PMID: 39149136 PMCID: PMC11325312 DOI: 10.1177/11769343241272415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/03/2024] [Indexed: 08/17/2024] Open
Abstract
The recombination plays a key role in promoting evolution of RNA viruses and emergence of potentially epidemic variants. Some studies investigated the recombination occurrence among SARS-CoV-2, without exploring its impact on virus-host interaction. In the aim to investigate the burden of recombination in terms of frequency and distribution, the occurrence of recombination was first explored in 44 230 Omicron sequences among BQ subvariants and the under investigation "ML" (Multiple Lineages) denoted sequences, using 3seq software. Second, the recombination impact on interaction between the Spike protein and ACE2 receptor as well as neutralizing antibodies (nAbs), was analyzed using docking tools. Recombination was detected in 56.91% and 82.20% of BQ and ML strains, respectively. It took place mainly in spike and ORF1a genes. For BQ recombinant strains, the docking analysis showed that the spike interacted strongly with ACE2 and weakly with nAbs. The mutations S373P, S375F and T376A constitute a residue network that enhances the RBD interaction with ACE2. Thirteen mutations in RBD (S373P, S375F, T376A, D405N, R408S, K417N, N440K, S477N, P494S, Q498R, N501Y, and Y505H) and NTD (Y240H) seem to be implicated in immune evasion of recombinants by altering spike interaction with nAbs. In conclusion, this "in silico" study demonstrated that the recombination mechanism is frequent among Omicron BQ and ML variants. It highlights new key mutations, that potentially implicated in enhancement of spike binding to ACE2 (F376A) and escape from nAbs (RBD: F376A, D405N, R408S, N440K, S477N, P494S, and Y505H; NTD: Y240H). Our findings present considerable insights for the elaboration of effective prophylaxis and therapeutic strategies against future SARS-CoV-2 waves.
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Affiliation(s)
- Marwa Arbi
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (BIMS), Pasteur Institute of Tunis, University Tunis El Manar, Tunis, Tunisia
| | - Marwa Khedhiri
- Laboratory of Clinical Virology, WHO Regional Reference Laboratory for Poliomyelitis and Measles in the Eastern Mediterranean Region, Pasteur Institute of Tunis, University Tunis El Manar, Tunis, Tunisia
- Research Laboratory: "Virus, Vector and Host" (LR20IPT02), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Kaouther Ayouni
- Laboratory of Clinical Virology, WHO Regional Reference Laboratory for Poliomyelitis and Measles in the Eastern Mediterranean Region, Pasteur Institute of Tunis, University Tunis El Manar, Tunis, Tunisia
- Research Laboratory: "Virus, Vector and Host" (LR20IPT02), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Oussema Souiai
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (BIMS), Pasteur Institute of Tunis, University Tunis El Manar, Tunis, Tunisia
- Higher Institute of Medical Technologies of Tunis, Tunis Al Manar University, Tunis, Tunisia
| | - Samar Dhouib
- High School of Statistics and Analysis of Information (ESSAI), University of Carthage, Tunis, Tunisia
| | - Nidhal Ghanmi
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (BIMS), Pasteur Institute of Tunis, University Tunis El Manar, Tunis, Tunisia
| | - Alia Benkahla
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (BIMS), Pasteur Institute of Tunis, University Tunis El Manar, Tunis, Tunisia
| | - Henda Triki
- Laboratory of Clinical Virology, WHO Regional Reference Laboratory for Poliomyelitis and Measles in the Eastern Mediterranean Region, Pasteur Institute of Tunis, University Tunis El Manar, Tunis, Tunisia
- Research Laboratory: "Virus, Vector and Host" (LR20IPT02), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Sondes Haddad-Boubaker
- Laboratory of Clinical Virology, WHO Regional Reference Laboratory for Poliomyelitis and Measles in the Eastern Mediterranean Region, Pasteur Institute of Tunis, University Tunis El Manar, Tunis, Tunisia
- Research Laboratory: "Virus, Vector and Host" (LR20IPT02), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Clinical Investigation Center (CIC), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis, Tunisia
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Sayama Y, Sakagami A, Okamoto M, Sakamoto M, Koizumi H, Kimura Y, Dapat C, Saito M, Suzuki Y, Sasaki M, Sugawara N, Oshitani H. Identification of Various Recombinants in a Patient Coinfected With the Different SARS-CoV-2 Variants. Influenza Other Respir Viruses 2024; 18:e13340. [PMID: 38890805 PMCID: PMC11187932 DOI: 10.1111/irv.13340] [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: 10/12/2023] [Revised: 03/18/2024] [Accepted: 05/30/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND Viral recombination that occurs by exchanging genetic materials between two viral genomes coinfecting the same host cells is associated with the emergence of new viruses with different virulence. Herein, we detected a patient coinfected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Delta and Omicron variants and identified various recombinants in the SARS-CoV-2 full-length spike gene using long-read and Sanger sequencing. METHODS Samples from five patients in Japan with household transmission of coronavirus disease 2019 (COVID-19) were analyzed using molecular assays for detection and identification of SARS-CoV-2. Whole-genome sequencing was conducted using multiplex PCR with short-read sequencing. RESULTS Among the five SARS-CoV-2-positive patients, the mutation-specific assay identified the Delta variant in three, the Omicron variant in one, and an undetermined in one. The undermined patient was identified as Delta using whole-genome sequencing, but samples showed a mixed population of Delta and Omicron variants. This patient was analyzed for viral quasispecies by long-read and Sanger sequencing using a full-length spike gene amplicon. In addition to the Delta and Omicron sequences, the viral quasispecies analysis identified nine different genetic recombinant sequences with various breakpoints between Delta and Omicron sequences. The nine detected recombinant sequences in the spike gene showed over 99% identity with viruses that were detected during the Delta and Omicron cocirculation period from the United States and Europe. CONCLUSIONS This study demonstrates that patients coinfected with different SARS-CoV-2 variants can generate various viral recombinants and that various recombinant viruses may be produced during the cocirculation of different variants.
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Affiliation(s)
- Yusuke Sayama
- Department of VirologyTohoku University of Graduate School of MedicineSendaiMiyagiJapan
| | - Akie Sakagami
- Department of MicrobiologyMiyagi Prefectural Institute of Public Health and EnvironmentSendaiMiyagiJapan
| | - Michiko Okamoto
- Department of VirologyTohoku University of Graduate School of MedicineSendaiMiyagiJapan
| | - Masahiro Sakamoto
- Department of VirologyTohoku University of Graduate School of MedicineSendaiMiyagiJapan
| | - Hikari Koizumi
- Department of MicrobiologyMiyagi Prefectural Institute of Public Health and EnvironmentSendaiMiyagiJapan
| | - Yoko Kimura
- Department of MicrobiologyMiyagi Prefectural Institute of Public Health and EnvironmentSendaiMiyagiJapan
| | - Clyde Dapat
- Department of VirologyTohoku University of Graduate School of MedicineSendaiMiyagiJapan
| | - Mayuko Saito
- Department of VirologyTohoku University of Graduate School of MedicineSendaiMiyagiJapan
| | - Yuko Suzuki
- Department of MicrobiologyMiyagi Prefectural Institute of Public Health and EnvironmentSendaiMiyagiJapan
| | - Mie Sasaki
- Department of MicrobiologyMiyagi Prefectural Institute of Public Health and EnvironmentSendaiMiyagiJapan
| | - Naoko Sugawara
- Department of MicrobiologyMiyagi Prefectural Institute of Public Health and EnvironmentSendaiMiyagiJapan
| | - Hitoshi Oshitani
- Department of VirologyTohoku University of Graduate School of MedicineSendaiMiyagiJapan
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Alfonsi T, Bernasconi A, Chiara M, Ceri S. Data-driven recombination detection in viral genomes. Nat Commun 2024; 15:3313. [PMID: 38632281 PMCID: PMC11024102 DOI: 10.1038/s41467-024-47464-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 03/25/2024] [Indexed: 04/19/2024] Open
Abstract
Recombination is a key molecular mechanism for the evolution and adaptation of viruses. The first recombinant SARS-CoV-2 genomes were recognized in 2021; as of today, more than ninety SARS-CoV-2 lineages are designated as recombinant. In the wake of the COVID-19 pandemic, several methods for detecting recombination in SARS-CoV-2 have been proposed; however, none could faithfully confirm manual analyses by experts in the field. We hereby present RecombinHunt, an original data-driven method for the identification of recombinant genomes, capable of recognizing recombinant SARS-CoV-2 genomes (or lineages) with one or two breakpoints with high accuracy and within reduced turn-around times. ReconbinHunt shows high specificity and sensitivity, compares favorably with other state-of-the-art methods, and faithfully confirms manual analyses by experts. RecombinHunt identifies recombinant viral genomes from the recent monkeypox epidemic in high concordance with manually curated analyses by experts, suggesting that our approach is robust and can be applied to any epidemic/pandemic virus.
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Affiliation(s)
- Tommaso Alfonsi
- Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Via Ponzio 34/5, 20133, Milan, Italy
| | - Anna Bernasconi
- Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Via Ponzio 34/5, 20133, Milan, Italy.
| | - Matteo Chiara
- Department of Biosciences, Università degli Studi di Milano, Via Celoria 26, 20133, Milan, Italy
| | - Stefano Ceri
- Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Via Ponzio 34/5, 20133, Milan, Italy
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Martínez-González B, Soria ME, Mínguez P, Lorenzo-Redondo R, Salar-Vidal L, López-García A, Esteban-Muñoz M, Durán-Pastor A, Somovilla P, García-Crespo C, de Ávila AI, Gómez J, Esteban J, Fernández-Roblas R, Gadea I, Domingo E, Perales C. SARS-CoV-2 mutant spectra as variant of concern nurseries: endless variation? Front Microbiol 2024; 15:1358258. [PMID: 38559344 PMCID: PMC10979541 DOI: 10.3389/fmicb.2024.1358258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 02/21/2024] [Indexed: 04/04/2024] Open
Abstract
Introduction SARS-CoV-2 isolates of a given clade may contain low frequency genomes that encode amino acids or deletions which are typical of a different clade. Methods Here we use high resolution ultra-deep sequencing to analyze SARS-CoV-2 mutant spectra. Results In 6 out of 11 SARS-CoV-2 isolates from COVID-19 patients, the mutant spectrum of the spike (S)-coding region included two or more amino acids or deletions, that correspond to discordant viral clades. A similar observation is reported for laboratory populations of SARS-CoV-2 USA-WA1/2020, following a cell culture infection in the presence of remdesivir, ribavirin or their combinations. Moreover, some of the clade-discordant genome residues are found in the same haplotype within an amplicon. Discussion We evaluate possible interpretations of these findings, and reviewed precedents for rapid selection of genomes with multiple mutations in RNA viruses. These considerations suggest that intra-host evolution may be sufficient to generate minority sequences which are closely related to sequences typical of other clades. The results provide a model for the origin of variants of concern during epidemic spread─in particular Omicron lineages─that does not require prolonged infection, involvement of immunocompromised individuals, or participation of intermediate, non-human hosts.
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Affiliation(s)
- Brenda Martínez-González
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
| | - María Eugenia Soria
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - Pablo Mínguez
- Department of Genetics and Genomics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Bioinformatics Unit, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
| | - Ramón Lorenzo-Redondo
- Division of Infectious Diseases, Center for Pathogen Genomics and Microbial Evolution, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Llanos Salar-Vidal
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Alberto López-García
- Health Research Institute IIS-FJD, Fundación Jiménez Diaz University Hospital, Madrid, Spain
| | - Mario Esteban-Muñoz
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
| | - Antoni Durán-Pastor
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
| | - Pilar Somovilla
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
- Departamento de Biología Molecular, Universidad Autónoma de Madrid, Campus de Cantoblanco, Madrid, Spain
| | - Carlos García-Crespo
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - Ana Isabel de Ávila
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - Jordi Gómez
- Instituto de Parasitología y Biomedicina “López-Neyra” (CSIC), Parque Tecnológico Ciencias de la Salud, Granada, Spain
| | - Jaime Esteban
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Ricardo Fernández-Roblas
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Ignacio Gadea
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Esteban Domingo
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - Celia Perales
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
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Ravi V, Shamim U, Khan MA, Swaminathan A, Mishra P, Singh R, Bharali P, Chauhan NS, Pandey R. Unraveling the genetic evolution of SARS-CoV-2 Recombinants using mutational dynamics across the different lineages. Front Med (Lausanne) 2024; 10:1294699. [PMID: 38288302 PMCID: PMC10823376 DOI: 10.3389/fmed.2023.1294699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 12/18/2023] [Indexed: 01/31/2024] Open
Abstract
Introduction Recombination serves as a common strategy employed by RNA viruses for their genetic evolution. Extensive genomic surveillance during the COVID-19 pandemic has reported SARS-CoV-2 Recombinant strains indicating recombination events during the viral evolution. This study introspects the phenomenon of genome recombination by tracing the footprint of prominent lineages of SARS-CoV-2 at different time points in the context of on-going evolution and emergence of Recombinants. Method Whole genome sequencing was carried out for 2,516 SARS-CoV-2 (discovery cohort) and 1,126 (validation cohort) using nasopharyngeal samples collected between the time period of March 2020 to August 2022, as part of the genomic surveillance program. The sequences were classified according to the different lineages of SARS-CoV-2 prevailing in India at respective time points. Results Mutational diversity and abundance evaluation across the 12 lineages identified 58 Recombinant sequences as harboring the least number of mutations (n = 111), with 14 low-frequency unique mutations with major chunk of mutations coming from the BA.2. The spontaneously/dynamically increasing and decreasing trends of mutations highlight the loss of mutations in the Recombinants that were associated with the SARS-CoV-2 replication efficiency, infectivity, and disease severity, rendering them functionally with low infectivity and pathogenicity. Linkage disequilibrium (LD) analysis revealed that mutations comprising the LD blocks of BA.1, BA.2, and Recombinants were found as minor alleles or as low-frequency alleles in the LD blocks from the previous SARS-CoV-2 variant samples, especially Pre-VOC. Moreover, a dissipation in the size of LD blocks as well as LD decay along with a high negative regression coefficient (R squared) value was demonstrated in the Omicron and BA.1 and BA.2 lineages, which corroborated with the breakpoint analysis. Conclusion Together, the findings help to understand the evolution and emergence of Recombinants after the Omicron lineages, for sustenance and adaptability, to maintain the epidemic spread of SARS-CoV-2 in the host population already high in immunity levels.
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Affiliation(s)
- Varsha Ravi
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Uzma Shamim
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Md Abuzar Khan
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Aparna Swaminathan
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Pallavi Mishra
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Rajender Singh
- CSIR-Central Drug Research Institute, (CSIR-CDRI), Lucknow, Lucknow, India
| | - Pankaj Bharali
- CSIR-North East Institute of Science and Technology (CSIR-NEIST), Jorhat, Assam, India
| | - Nar Singh Chauhan
- Department of Biochemistry, Maharshi Dayanand University, Rohtak, India
| | - Rajesh Pandey
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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6
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Chen Q, Qin S, Zhou HY, Deng YQ, Shi PD, Zhao H, Li XF, Huang XY, Wu YR, Guo Y, Pei GQ, Wang YF, Sun SQ, Du ZM, Cui YJ, Fan H, Qin CF. Competitive fitness and homologous recombination of SARS-CoV-2 variants of concern. J Med Virol 2023; 95:e29278. [PMID: 38088537 DOI: 10.1002/jmv.29278] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/26/2023] [Accepted: 11/11/2023] [Indexed: 12/18/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants continue to emerge and cocirculate in humans and wild animals. The factors driving the emergence and replacement of novel variants and recombinants remain incompletely understood. Herein, we comprehensively characterized the competitive fitness of SARS-CoV-2 wild type (WT) and three variants of concern (VOCs), Alpha, Beta and Delta, by coinfection and serial passaging assays in different susceptible cells. Deep sequencing analyses revealed cell-specific competitive fitness: the Beta variant showed enhanced replication fitness during serial passage in Caco-2 cells, whereas the WT and Alpha variant showed elevated fitness in Vero E6 cells. Interestingly, a high level of neutralizing antibody sped up competition and completely reshaped the fitness advantages of different variants. More importantly, single clone purification identified a significant proportion of homologous recombinants that emerged during the passage history, and immune pressure reduced the frequency of recombination. Interestingly, a recombination hot region located between nucleotide sites 22,995 and 28,866 of the viral genomes could be identified in most of the detected recombinants. Our study not only profiled the variable competitive fitness of SARS-CoV-2 under different conditions, but also provided direct experimental evidence of homologous recombination between SARS-CoV-2 viruses, as well as a model for investigating SARS-CoV-2 recombination.
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Affiliation(s)
- Qi Chen
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Si Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Hang-Yu Zhou
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yong-Qiang Deng
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Pan-Deng Shi
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Hui Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Xiao-Feng Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Xing-Yao Huang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Ya-Rong Wu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Yan Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Guang-Qian Pei
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Yun-Fei Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Si-Qi Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Zong-Min Du
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Yu-Jun Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Hang Fan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Cheng-Feng Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
- Research Unit of Discovery and Tracing of Natural Focus Diseases, Chinese Academy of Medical Sciences, Beijing, China
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7
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Nakagawa S, Katayama T, Jin L, Wu J, Kryukov K, Oyachi R, Takeuchi JS, Fujisawa T, Asano S, Komatsu M, Onami JI, Abe T, Arita M. SARS-CoV-2 HaploGraph: visualization of SARS-CoV-2 haplotype spread in Japan. Genes Genet Syst 2023; 98:221-237. [PMID: 37839865 DOI: 10.1266/ggs.23-00085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023] Open
Abstract
Since the early phase of the coronavirus disease 2019 (COVID-19) pandemic, a number of research institutes have been sequencing and sharing high-quality severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes to trace the route of infection in Japan. To provide insight into the spread of COVID-19, we developed a web platform named SARS-CoV-2 HaploGraph to visualize the emergence timing and geographical transmission of SARS-CoV-2 haplotypes. Using data from the GISAID EpiCoV database as of June 4, 2022, we created a haplotype naming system by determining the ancestral haplotype for each epidemic wave and showed prefecture- or region-specific haplotypes in each of four waves in Japan. The SARS-CoV-2 HaploGraph allows for interactive tracking of virus evolution and of geographical prevalence of haplotypes, and aids in developing effective public health control strategies during the global pandemic. The code and the data used for this study are publicly available at: https://github.com/ktym/covid19/.
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Affiliation(s)
- So Nakagawa
- Bioinformation and DDBJ Center, National Institute of Genetics
- Department of Molecular Life Science, Tokai University School of Medicine
- Micro/Nano Technology Center, Tokai University
- Institute of Medical Sciences, Tokai University
| | | | | | - Jiaqi Wu
- Department of Molecular Life Science, Tokai University School of Medicine
| | - Kirill Kryukov
- Bioinformation and DDBJ Center, National Institute of Genetics
- Department of Informatics, National Institute of Genetics
| | - Rise Oyachi
- Department of Molecular Life Science, Tokai University School of Medicine
| | - Junko S Takeuchi
- Center for Clinical Sciences, National Center for Global Health and Medicine
| | | | - Satomi Asano
- Department of Informatics, National Institute of Genetics
| | - Momoka Komatsu
- Smart Information Systems, Faculty of Engineering, Niigata University
| | - Jun-Ichi Onami
- Research Center for Open Science and Data Platform, National Institute of Informatics
| | - Takashi Abe
- Bioinformation and DDBJ Center, National Institute of Genetics
- Smart Information Systems, Faculty of Engineering, Niigata University
| | - Masanori Arita
- Bioinformation and DDBJ Center, National Institute of Genetics
- Department of Informatics, National Institute of Genetics
- RIKEN Center for Sustainable Resource Science
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8
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Markov PV, Ghafari M, Beer M, Lythgoe K, Simmonds P, Stilianakis NI, Katzourakis A. The evolution of SARS-CoV-2. Nat Rev Microbiol 2023; 21:361-379. [PMID: 37020110 DOI: 10.1038/s41579-023-00878-2] [Citation(s) in RCA: 312] [Impact Index Per Article: 312.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/01/2023] [Indexed: 04/07/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused millions of deaths and substantial morbidity worldwide. Intense scientific effort to understand the biology of SARS-CoV-2 has resulted in daunting numbers of genomic sequences. We witnessed evolutionary events that could mostly be inferred indirectly before, such as the emergence of variants with distinct phenotypes, for example transmissibility, severity and immune evasion. This Review explores the mechanisms that generate genetic variation in SARS-CoV-2, underlying the within-host and population-level processes that underpin these events. We examine the selective forces that likely drove the evolution of higher transmissibility and, in some cases, higher severity during the first year of the pandemic and the role of antigenic evolution during the second and third years, together with the implications of immune escape and reinfections, and the increasing evidence for and potential relevance of recombination. In order to understand how major lineages, such as variants of concern (VOCs), are generated, we contrast the evidence for the chronic infection model underlying the emergence of VOCs with the possibility of an animal reservoir playing a role in SARS-CoV-2 evolution, and conclude that the former is more likely. We evaluate uncertainties and outline scenarios for the possible future evolutionary trajectories of SARS-CoV-2.
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Affiliation(s)
- Peter V Markov
- European Commission, Joint Research Centre (JRC), Ispra, Italy.
- London School of Hygiene & Tropical Medicine, University of London, London, UK.
| | - Mahan Ghafari
- Big Data Institute, University of Oxford, Oxford, UK
| | - Martin Beer
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Insel Riems, Germany
| | | | - Peter Simmonds
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Nikolaos I Stilianakis
- European Commission, Joint Research Centre (JRC), Ispra, Italy
- Department of Biometry and Epidemiology, University of Erlangen-Nuremberg, Erlangen, Germany
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9
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Carabelli AM, Peacock TP, Thorne LG, Harvey WT, Hughes J, Peacock SJ, Barclay WS, de Silva TI, Towers GJ, Robertson DL. SARS-CoV-2 variant biology: immune escape, transmission and fitness. Nat Rev Microbiol 2023; 21:162-177. [PMID: 36653446 PMCID: PMC9847462 DOI: 10.1038/s41579-022-00841-7] [Citation(s) in RCA: 254] [Impact Index Per Article: 254.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2022] [Indexed: 01/19/2023]
Abstract
In late 2020, after circulating for almost a year in the human population, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exhibited a major step change in its adaptation to humans. These highly mutated forms of SARS-CoV-2 had enhanced rates of transmission relative to previous variants and were termed 'variants of concern' (VOCs). Designated Alpha, Beta, Gamma, Delta and Omicron, the VOCs emerged independently from one another, and in turn each rapidly became dominant, regionally or globally, outcompeting previous variants. The success of each VOC relative to the previously dominant variant was enabled by altered intrinsic functional properties of the virus and, to various degrees, changes to virus antigenicity conferring the ability to evade a primed immune response. The increased virus fitness associated with VOCs is the result of a complex interplay of virus biology in the context of changing human immunity due to both vaccination and prior infection. In this Review, we summarize the literature on the relative transmissibility and antigenicity of SARS-CoV-2 variants, the role of mutations at the furin spike cleavage site and of non-spike proteins, the potential importance of recombination to virus success, and SARS-CoV-2 evolution in the context of T cells, innate immunity and population immunity. SARS-CoV-2 shows a complicated relationship among virus antigenicity, transmission and virulence, which has unpredictable implications for the future trajectory and disease burden of COVID-19.
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Affiliation(s)
| | - Thomas P Peacock
- Department of Infectious Disease, St Mary's Medical School, Imperial College London, London, UK
| | - Lucy G Thorne
- Division of Infection and Immunity, University College London, London, UK
| | - William T Harvey
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
- Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Joseph Hughes
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK
| | - Sharon J Peacock
- Department of Medicine, University of Cambridge, Addenbrookes Hospital, Cambridge, UK
| | - Wendy S Barclay
- Department of Infectious Disease, St Mary's Medical School, Imperial College London, London, UK
| | - Thushan I de Silva
- Department of Infection, Immunity and Cardiovascular Disease, Medical School, University of Sheffield, Sheffield, UK
| | - Greg J Towers
- Division of Infection and Immunity, University College London, London, UK
| | - David L Robertson
- MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, UK.
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10
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Shiraz R, Tripathi S. Enhanced recombination among Omicron subvariants of SARS-CoV-2 contributes to viral immune escape. J Med Virol 2023; 95:e28519. [PMID: 36691935 DOI: 10.1002/jmv.28519] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/14/2022] [Accepted: 01/19/2023] [Indexed: 01/25/2023]
Abstract
Genetic recombination is an important driver of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) evolution, which requires the coinfection of a single host cell with different SARS-CoV-2 strains. To understand the emergence and prevalence of recombinant SARS-CoV-2 lineages through time and space, we analyzed SARS-CoV-2 genome sequences collected from November 2019 to July 2022. We observed an extraordinary increase in the emergence of SARS-CoV-2 recombinant lineages during the Omicron wave, particularly in Northern America and Europe. This phenomenon was independent of the sequencing frequency or genetic diversity of circulating SARS-CoV-2 strains. The recombination breakpoints were more prevalent in the 3'-untranslated region of the viral genome. Importantly, we noted the enrichment of certain amino acids in the Spike protein of recombinant lineages, which have been reported to confer immune escape from neutralizing antibodies and increase angiotensin-converting enzyme 2 receptor binding in some cases. We also observed I42V amino acid change genetically fixated in the NSP14 of the Omicron lineage, which needs further characterization for its potential role in enhanced recombination. Overall, we report the important and timely observation of accelerated recombination in the currently circulating SARS-CoV-2 Omicron variants and explore their potential contribution to viral fitness, particularly immune escape.
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Affiliation(s)
- Rishad Shiraz
- Microbiology and Cell Biology Department, Indian Institute of Science, Bengaluru, India.,Centre for Infectious Disease Research, Indian Institute of Science, Bengaluru, India
| | - Shashank Tripathi
- Microbiology and Cell Biology Department, Indian Institute of Science, Bengaluru, India.,Centre for Infectious Disease Research, Indian Institute of Science, Bengaluru, India
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11
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Vo V, Harrington A, Afzal S, Papp K, Chang CL, Baker H, Aguilar P, Buttery E, Picker MA, Lockett C, Gerrity D, Kan HY, Oh EC. Identification of a rare SARS-CoV-2 XL hybrid variant in wastewater and the subsequent discovery of two infected individuals in Nevada. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:160024. [PMID: 36356728 PMCID: PMC9640213 DOI: 10.1016/j.scitotenv.2022.160024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/29/2022] [Accepted: 11/03/2022] [Indexed: 05/31/2023]
Abstract
The identification of novel SARS-CoV-2 variants can predict new patterns of COVID-19 community transmission and lead to the deployment of public health resources. However, increased access to at-home antigen tests and reduced free PCR tests have recently led to data gaps for the surveillance of evolving SARS-CoV-2 variants. To overcome such limitations, we asked whether wastewater surveillance could be leveraged to detect rare variants circulating in a community before local detection in human cases. Here, we performed whole genome sequencing (WGS) of SARS-CoV-2 from a wastewater treatment plant serving Las Vegas, Nevada in April 2022. Using metrics that exceeded 100× depth at a coverage of >90 % of the viral genome, we identified a variant profile similar to the XL recombinant lineage containing 26 mutations found in BA.1 and BA.2 and three private mutations. Prompted by the discovery of this rare lineage in wastewater, we analyzed clinical COVID-19 sequencing data from Southern Nevada and identified two cases infected with the XL lineage. Taken together, our data highlight how wastewater genome sequencing data can be used to discover rare SARS-CoV-2 lineages in a community and complement local public health surveillance.
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Affiliation(s)
- Van Vo
- Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA; Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Anthony Harrington
- Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Salman Afzal
- Southern Nevada Health District, Las Vegas, NV 89106, USA
| | - Katerina Papp
- Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA
| | - Ching-Lan Chang
- Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Hayley Baker
- Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | | | - Erin Buttery
- Southern Nevada Health District, Las Vegas, NV 89106, USA
| | | | | | - Daniel Gerrity
- Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA.
| | - Horng-Yuan Kan
- Southern Nevada Health District, Las Vegas, NV 89106, USA.
| | - Edwin C Oh
- Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA; Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA; Department of Internal Medicine, UNLV School of Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA.
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12
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Colson P, Delerce J, Marion-Paris E, Lagier JC, Levasseur A, Fournier PE, La Scola B, Raoult D. A 21L/BA.2-21K/BA.1 "MixOmicron" SARS-CoV-2 hybrid undetected by qPCR that screen for variant in routine diagnosis. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2022; 105:105360. [PMID: 36070806 PMCID: PMC9444252 DOI: 10.1016/j.meegid.2022.105360] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 08/31/2022] [Accepted: 09/02/2022] [Indexed: 01/05/2023]
Abstract
Among the multiple SARS-CoV-2 variants identified since summer 2020, several have co-circulated, creating opportunities for coinfections and potentially genetic recombinations that are common in coronaviruses. Viral recombinants are indeed beginning to be reported more frequently. Here, we describe a new SARS-CoV-2 recombinant genome that is mostly that of a Omicron 21L/BA.2 variant but with a 3' tip originating from a Omicron 21K/BA.1 variant. Two such genomes were obtained in our institute from adults sampled in February 2022 in university hospitals of Marseille, southern France, by next-generation sequencing carried out with the Illumina or Nanopore technologies. The recombination site was located between nucleotides 26,858-27,382. In the two genomic assemblies, mean sequencing depth at mutation-harboring positions was 271 and 1362 reads and mean prevalence of the majoritary nucleotide was 99.3 ± 2.2% and 98.8 ± 1.6%, respectively. Phylogeny generated trees with slightly different topologies according to whether genomes analyzed were depleted or not of the 3' tip. This 3' terminal end brought in the Omicron 21L/BA.2 genome a short transposable element of 41 nucleotides named S2m that is present in most SARS-CoV-2 except a few variants among which the Omicron 21L/BA.2 variant and may be involved in virulence. Importantly, this recombinant is not detected by currently used qPCR that screen for variants in routine diagnosis. The present observation emphasizes the need to survey closely the genetic pathways of SARS-CoV-2 variability by whole genome sequencing, and it could contribute to gain a better understanding of factors that lead to observed differences between epidemic potentials of the different variants.
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Affiliation(s)
- Philippe Colson
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), 27 boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 rue Saint-Pierre, 13005 Marseille, France.
| | - Jeremy Delerce
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005 Marseille, France
| | - Elise Marion-Paris
- Assistance Publique-Hôpitaux de Marseille (AP-HM), Hôpital Timone, Service de médecine du travail, 264 rue Saint-Pierre, 13005 Marseille, France
| | - Jean-Christophe Lagier
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), 27 boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 rue Saint-Pierre, 13005 Marseille, France
| | - Anthony Levasseur
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), 27 boulevard Jean Moulin, 13005 Marseille, France
| | - Pierre-Edouard Fournier
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), 27 boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Vecteurs - Infections Tropicales et Méditerranéennes (VITROME), 27 boulevard Jean Moulin, 13005 Marseille, France
| | - Bernard La Scola
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), 27 boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 rue Saint-Pierre, 13005 Marseille, France
| | - Didier Raoult
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), 27 boulevard Jean Moulin, 13005 Marseille, France
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13
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Sekizuka T, Saito M, Itokawa K, Sasaki N, Tanaka R, Eto S, Someno R, Ogamino A, Yokota E, Saito T, Kuroda M. Recombination between SARS-CoV-2 Omicron BA.1 and BA.2 variants identified in a traveller from Nepal at the airport quarantine facility in Japan. J Travel Med 2022; 29:6571346. [PMID: 35442444 PMCID: PMC9383748 DOI: 10.1093/jtm/taac051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/06/2022] [Accepted: 04/13/2022] [Indexed: 11/24/2022]
Abstract
We have detected novel SARS-CoV-2 variants at the airport quarantine facility in Japan. This study revealed novel Omicron recombinant in a traveller visiting from Nepal, suggesting a possibility of its further dissemination in surrounding countries with limited sequencing capacity. Quarantine monitoring could aid timely response to avoid global dissemination.
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Affiliation(s)
- Tsuyoshi Sekizuka
- Pathogen Genomics Center, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
| | - Masumichi Saito
- Center for Emergency Preparedness and Response, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan.,Department of Virology II
| | - Kentaro Itokawa
- Pathogen Genomics Center, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
| | - Naobumi Sasaki
- Pathogen Genomics Center, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
| | - Rina Tanaka
- Pathogen Genomics Center, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
| | - Satsuki Eto
- Pathogen Genomics Center, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
| | - Risa Someno
- Pathogen Genomics Center, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
| | - Akina Ogamino
- Pathogen Genomics Center, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
| | - Eiichi Yokota
- Center for Emergency Preparedness and Response, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
| | - Tomoya Saito
- Center for Emergency Preparedness and Response, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
| | - Makoto Kuroda
- Pathogen Genomics Center, National Institute of Infectious Diseases, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
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14
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Lacek KA, Rambo-Martin BL, Batra D, Zheng XY, Hassell N, Sakaguchi H, Peacock T, Groves N, Keller M, Wilson MM, Sheth M, Davis ML, Borroughs M, Gerhart J, Shepard SS, Cook PW, Lee J, Wentworth DE, Barnes JR, Kondor R, Paden CR. SARS-CoV-2 Delta-Omicron Recombinant Viruses, United States. Emerg Infect Dis 2022; 28:1442-1445. [PMID: 35551714 PMCID: PMC9239886 DOI: 10.3201/eid2807.220526] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
To detect new and changing SARS-CoV-2 variants, we investigated candidate Delta-Omicron recombinant genomes from Centers for Disease Control and Prevention national genomic surveillance. Laboratory and bioinformatic investigations identified and validated 9 genetically related SARS-CoV-2 viruses with a hybrid Delta-Omicron spike protein.
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15
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Burel E, Colson P, Lagier JC, Levasseur A, Bedotto M, Lavrard-Meyer P, Fournier PE, La Scola B, Raoult D. Sequential Appearance and Isolation of a SARS-CoV-2 Recombinant between Two Major SARS-CoV-2 Variants in a Chronically Infected Immunocompromised Patient. Viruses 2022; 14:1266. [PMID: 35746737 PMCID: PMC9227898 DOI: 10.3390/v14061266] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 06/06/2022] [Accepted: 06/08/2022] [Indexed: 02/05/2023] Open
Abstract
Genetic recombination is a major evolutionary mechanism among RNA viruses, and it is common in coronaviruses, including those infecting humans. A few SARS-CoV-2 recombinants have been reported to date whose genome harbored combinations of mutations from different mutants or variants, but only a single patient's sample was analyzed, and the virus was not isolated. Here, we report the gradual emergence of a hybrid genome of B.1.160 and Alpha variants in a lymphoma patient chronically infected for 14 months, and we isolated the recombinant virus. The hybrid genome was obtained by next-generation sequencing, and the recombination sites were confirmed by PCR. This consisted of a parental B.1.160 backbone interspersed with two fragments, including the spike gene, from an Alpha variant. An analysis of seven sequential samples from the patient decoded the recombination steps, including the initial infection with a B.1.160 variant, then a concurrent infection with this variant and an Alpha variant, the generation of hybrid genomes, and eventually the emergence of a predominant recombinant virus isolated at the end of the patient's follow-up. This case exemplifies the recombination process of SARS-CoV-2 in real life, and it calls for intensifying the genomic surveillance in patients coinfected with different SARS-CoV-2 variants, and more generally with several RNA viruses, as this may lead to the appearance of new viruses.
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Affiliation(s)
- Emilie Burel
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; (E.B.); (P.C.); (J.-C.L.); (A.L.); (M.B.); (P.L.-M.); (P.-E.F.)
- Microbes Evolution Phylogeny and Infections (MEPHI), Institut de Recherche Pour le Développement (IRD), Aix-Marseille University, 27 Boulevard Jean Moulin, 13005 Marseille, France
| | - Philippe Colson
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; (E.B.); (P.C.); (J.-C.L.); (A.L.); (M.B.); (P.L.-M.); (P.-E.F.)
- Microbes Evolution Phylogeny and Infections (MEPHI), Institut de Recherche Pour le Développement (IRD), Aix-Marseille University, 27 Boulevard Jean Moulin, 13005 Marseille, France
- Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 rue Saint-Pierre, 13005 Marseille, France
| | - Jean-Christophe Lagier
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; (E.B.); (P.C.); (J.-C.L.); (A.L.); (M.B.); (P.L.-M.); (P.-E.F.)
- Microbes Evolution Phylogeny and Infections (MEPHI), Institut de Recherche Pour le Développement (IRD), Aix-Marseille University, 27 Boulevard Jean Moulin, 13005 Marseille, France
- Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 rue Saint-Pierre, 13005 Marseille, France
| | - Anthony Levasseur
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; (E.B.); (P.C.); (J.-C.L.); (A.L.); (M.B.); (P.L.-M.); (P.-E.F.)
- Microbes Evolution Phylogeny and Infections (MEPHI), Institut de Recherche Pour le Développement (IRD), Aix-Marseille University, 27 Boulevard Jean Moulin, 13005 Marseille, France
| | - Marielle Bedotto
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; (E.B.); (P.C.); (J.-C.L.); (A.L.); (M.B.); (P.L.-M.); (P.-E.F.)
| | - Philippe Lavrard-Meyer
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; (E.B.); (P.C.); (J.-C.L.); (A.L.); (M.B.); (P.L.-M.); (P.-E.F.)
- Microbes Evolution Phylogeny and Infections (MEPHI), Institut de Recherche Pour le Développement (IRD), Aix-Marseille University, 27 Boulevard Jean Moulin, 13005 Marseille, France
- Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 rue Saint-Pierre, 13005 Marseille, France
| | - Pierre-Edouard Fournier
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; (E.B.); (P.C.); (J.-C.L.); (A.L.); (M.B.); (P.L.-M.); (P.-E.F.)
- Microbes Evolution Phylogeny and Infections (MEPHI), Institut de Recherche Pour le Développement (IRD), Aix-Marseille University, 27 Boulevard Jean Moulin, 13005 Marseille, France
- Vecteurs-Infections Tropicales et Méditerranéennes (VITROME), Institut de Recherche Pour le Développement (IRD), Aix-Marseille University, 27 Boulevard Jean Moulin, 13005 Marseille, France
| | - Bernard La Scola
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; (E.B.); (P.C.); (J.-C.L.); (A.L.); (M.B.); (P.L.-M.); (P.-E.F.)
- Microbes Evolution Phylogeny and Infections (MEPHI), Institut de Recherche Pour le Développement (IRD), Aix-Marseille University, 27 Boulevard Jean Moulin, 13005 Marseille, France
- Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 rue Saint-Pierre, 13005 Marseille, France
| | - Didier Raoult
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; (E.B.); (P.C.); (J.-C.L.); (A.L.); (M.B.); (P.L.-M.); (P.-E.F.)
- Microbes Evolution Phylogeny and Infections (MEPHI), Institut de Recherche Pour le Développement (IRD), Aix-Marseille University, 27 Boulevard Jean Moulin, 13005 Marseille, France
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16
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Focosi D, Maggi F. Recombination in Coronaviruses, with a Focus on SARS-CoV-2. Viruses 2022; 14:1239. [PMID: 35746710 PMCID: PMC9228924 DOI: 10.3390/v14061239] [Citation(s) in RCA: 67] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 06/06/2022] [Accepted: 06/06/2022] [Indexed: 02/07/2023] Open
Abstract
Recombination is a common evolutionary tool for RNA viruses, and coronaviruses are no exception. We review here the evidence for recombination in SARS-CoV-2 and reconcile nomenclature for recombinants, discuss their origin and fitness, and speculate how recombinants could make a difference in the future of the COVID-19 pandemics.
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Affiliation(s)
- Daniele Focosi
- North-Western Tuscany Blood Bank, Pisa University Hospital, 56124 Pisa, Italy
| | - Fabrizio Maggi
- Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy
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