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Wu H, Zhou HY, Zheng H, Wu A. Towards Understanding and Identification of Human Viral Co-Infections. Viruses 2024; 16:673. [PMID: 38793555 PMCID: PMC11126107 DOI: 10.3390/v16050673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 04/19/2024] [Accepted: 04/24/2024] [Indexed: 05/26/2024] Open
Abstract
Viral co-infections, in which a host is infected with multiple viruses simultaneously, are common in the human population. Human viral co-infections can lead to complex interactions between the viruses and the host immune system, affecting the clinical outcome and posing challenges for treatment. Understanding the types, mechanisms, impacts, and identification methods of human viral co-infections is crucial for the prevention and control of viral diseases. In this review, we first introduce the significance of studying human viral co-infections and summarize the current research progress and gaps in this field. We then classify human viral co-infections into four types based on the pathogenic properties and species of the viruses involved. Next, we discuss the molecular mechanisms of viral co-infections, focusing on virus-virus interactions, host immune responses, and clinical manifestations. We also summarize the experimental and computational methods for the identification of viral co-infections, emphasizing the latest advances in high-throughput sequencing and bioinformatics approaches. Finally, we highlight the challenges and future directions in human viral co-infection research, aiming to provide new insights and strategies for the prevention, control, diagnosis, and treatment of viral diseases. This review provides a comprehensive overview of the current knowledge and future perspectives on human viral co-infections and underscores the need for interdisciplinary collaboration to address this complex and important topic.
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Affiliation(s)
- Hui Wu
- School of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, China;
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, China
| | - Hang-Yu Zhou
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, China
| | - Heng Zheng
- School of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, China;
| | - Aiping Wu
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, China
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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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3
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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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4
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Mohapatra RK, Mishra S, Kandi V, Branda F, Ansari A, Rabaan AA, Kudrat‐E‐Zahan M. Analyzing the emerging patterns of SARS-CoV-2 Omicron subvariants for the development of next-gen vaccine: An observational study. Health Sci Rep 2023; 6:e1596. [PMID: 37867789 PMCID: PMC10584996 DOI: 10.1002/hsr2.1596] [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: 07/15/2023] [Revised: 08/28/2023] [Accepted: 09/18/2023] [Indexed: 10/24/2023] Open
Abstract
Background and Aim Understanding the prevalence and impact of SARS-CoV-2 variants has assumed paramount importance. This study statistically analyzed to effectively track the emergence and spread of the variants and highlights the importance of such investigations in developing potential next-gen vaccine to combat the continuously emerging Omicron subvariants. Methods Transmission fitness advantage and effective reproductive number (R e) of epidemiologically relevant SARS-CoV-2 sublineages through time during the study period based on the GISAID data were estimated. Results The analyses covered the period from January to June 2023 around an array of sequenced samples. The dominance of the XBB variant strain, accounting for approximately 57.63% of the cases, was identified during the timeframe. XBB.1.5 exhibited 37.95% prevalence rate from March to June 2023. Multiple variants showed considerable global influence throughout the study, as sporadically documented. Notably, the XBB variant demonstrated an estimated relative 28% weekly growth advantage compared with others. Numerous variants were resistant to the over-the-counter vaccines and breakthrough infections were reported. Similarly, the efficacy of mAB-based therapy appeared limited. However, it's important to underscore the perceived benefits of these preventive and therapeutic measures were restricted to specific variants. Conclusion Given the observed trends, a comprehensive next-gen vaccine coupled with an advanced vaccination strategy could be a potential panacea in the fight against the pandemic. The findings suggest that targeted vaccine development could be an effective strategy to prevent infections. The study also highlights the need of global collaborations to rapidly develop and distribute the vaccines to ensure global human health.
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Affiliation(s)
| | - Snehasish Mishra
- School of Biotechnology, Campus‐11KIIT Deemed‐to‐be‐UniversityBhubaneswarOdishaIndia
| | - Venkataramana Kandi
- Department of MicrobiologyPrathima Institute of Medical SciencesKarimnagarTelanganaIndia
| | - Francesco Branda
- Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES)University of CalabriaRendeItaly
| | - Azaj Ansari
- Department of ChemistryCentral University of HaryanaMahendergarhHaryanaIndia
| | - Ali A. Rabaan
- Molecular Diagnostic LaboratoryJohns Hopkins Aramco HealthcareDhahranSaudi Arabia
- College of MedicineAlfaisal UniversityRiyadhSaudi Arabia
- Department of Public Health and NutritionThe University of HaripurHaripurPakistan
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Nimsamer P, Sawaswong V, Klomkliew P, Kaewsapsak P, Puenpa J, Poovorawan Y, Payungporn S. "Nano COVID-19": Nanopore sequencing of spike gene to identify SARS-CoV-2 variants of concern. Exp Biol Med (Maywood) 2023; 248:1841-1849. [PMID: 37702217 DOI: 10.1177/15353702231190931] [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: 09/14/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is a worldwide pandemic infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). World Health Organization (WHO) has defined the viral variants of concern (VOC) which cause more severe disease, higher transmissibility, and reduced vaccine efficacy. In this study, the "Nano COVID-19" workflow based on Oxford nanopore sequencing of the full-length spike gene combined with flexible data analysis options was developed to identify SARS-CoV-2 VOCs. The primers were designed to cover the full-length spike gene and can amplify all VOC strains. The results of VOC identification based on phylogenetic analysis of the full-length spike gene were comparable to the whole genome sequencing (WGS). Compared to the standard VOC identification pipeline, the fast analysis based on Read Assignment, Mapping, and Phylogenetic Analysis in Real Time (RAMPART) and the user-friendly method based on EPI2ME yielded 89.3% and 97.3% accuracy, respectively. The EPI2ME pipeline is recommended for researchers without bioinformatic skills, whereas RAMPART is more suitable for bioinformaticians. This workflow provides a cost-effective, simplified pipeline with a rapid turnaround time. Furthermore, it is portable to point-of-care SARS-CoV-2 VOC identification and compatible with large-scale analysis. Therefore, "Nano COVID-19" is an alternative viral epidemic screening and transmission tracking workflow.
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Affiliation(s)
- Pattaraporn Nimsamer
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Division of Medical Bioinformatics, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Siriraj Long-Read Lab (Si-LoL), Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Vorthon Sawaswong
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Pavit Klomkliew
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Pornchai Kaewsapsak
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Jiratchaya Puenpa
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Yong Poovorawan
- Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sunchai Payungporn
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
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Wang R, Huang H, Yu C, Sun C, Ma J, Kong D, Lin Y, Zhao D, Zhou S, Lu J, Cao S, Zhang Y, Luo C, Li X, Wang Y, Xie L. A spike-trimer protein-based tetravalent COVID-19 vaccine elicits enhanced breadth of neutralization against SARS-CoV-2 Omicron subvariants and other variants. SCIENCE CHINA. LIFE SCIENCES 2023; 66:1818-1830. [PMID: 36598621 PMCID: PMC9811042 DOI: 10.1007/s11427-022-2207-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 10/17/2022] [Indexed: 01/05/2023]
Abstract
Multivalent vaccines combining crucial mutations from phylogenetically divergent variants could be an effective approach to defend against existing and future SARS-CoV-2 variants. In this study, we developed a tetravalent COVID-19 vaccine SCTV01E, based on the trimeric Spike protein of SARS-CoV-2 variants Alpha, Beta, Delta, and Omicron BA.1, with a squalene-based oil-in-water adjuvant SCT-VA02B. In the immunogenicity studies in naïve BALB/c and C57BL/6J mice, SCTV01E exhibited the most favorable immunogenic characteristics to induce balanced and broad-spectrum neutralizing potencies against pre-Omicron variants (D614G, Alpha, Beta, and Delta) and newly emerging Omicron subvariants (BA.1, BA.1.1, BA.2, BA.3, and BA.4/5). Booster studies in C57BL/6J mice previously immunized with D614G monovalent vaccine demonstrated superior neutralizing capacities of SCTV01E against Omicron subvariants, compared with the D614G booster regimen. Furthermore, SCTV01E vaccination elicited naïve and central memory T cell responses to SARS-CoV-2 ancestral strain and Omicron spike peptides. Together, our comprehensive immunogenicity evaluation results indicate that SCTV01E could become an important COVID-19 vaccine platform to combat surging infections caused by the highly immune evasive BA.4/5 variants. SCTV01E is currently being studied in a head-to-head immunogenicity comparison phase 3 clinical study with inactivated and mRNA vaccines (NCT05323461).
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Affiliation(s)
- Rui Wang
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Hongpeng Huang
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Chulin Yu
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Chunyun Sun
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Juan Ma
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Desheng Kong
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Yalong Lin
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Dandan Zhao
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Shaozheng Zhou
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Jianbo Lu
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Sai Cao
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Yanjing Zhang
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Chunxia Luo
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Xuefeng Li
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Yang Wang
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China
| | - Liangzhi Xie
- Beijing Protein and Antibody R&D Engineering Center, Sinocelltech Ltd., Beijing, 100176, China.
- Cell Culture Engineering Center, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China.
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Chernyaeva EN, Ayginin AA, Kosenkov AV, Romanova SV, Tsypkina AV, Luparev AR, Stetsenko IF, Gnusareva NI, Matsvay AD, Savochkina YA, Shipulin GA. SARS-CoV-2 Recombination and Coinfection Events Identified in Clinical Samples in Russia. Viruses 2023; 15:1660. [PMID: 37632003 PMCID: PMC10458065 DOI: 10.3390/v15081660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/27/2023] Open
Abstract
Recombination is one of the mechanisms of SARS-CoV-2 evolution along with the occurrence of point mutations, insertions, and deletions. Recently, recombinant variants of SARS-CoV-2 have been registered in different countries, and some of them have become circulating forms. In this work, we performed screening of SARS-CoV-2 genomic sequences to identify recombination events and co-infections with various strains of the SARS-CoV-2 virus detected in Russia from February 2020 to March 2022. The study included 9336 genomes of the COVID-19 pathogen obtained as a result of high-throughput sequencing on the Illumina platform. For data analysis, we used an algorithm developed by our group that can identify viral recombination variants and cases of co-infections by estimating the frequencies of characteristic substitutions in raw read alignment files and VCF files. The detected cases of recombination were confirmed by alternative sequencing methods, principal component analysis, and phylogenetic analysis. The suggested approach allowed for the identification of recombinant variants of strains BA.1 and BA.2, among which a new recombinant variant was identified, as well as a previously discovered one. The results obtained are the first evidence of the spread of recombinant variants of SARS-CoV-2 in Russia. In addition to cases of recombination we identified cases of coinfection: eight of them contained the genome of the Omicron line as one of the variants, six of them the genome of the Delta line, and two with the genome of the Alpha line.
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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] [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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9
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Zhou ZJ, Yang CH, Ye SB, Yu XW, Qiu Y, Ge XY. VirusRecom: an information-theory-based method for recombination detection of viral lineages and its application on SARS-CoV-2. Brief Bioinform 2023; 24:6886420. [PMID: 36567622 DOI: 10.1093/bib/bbac513] [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: 06/16/2022] [Revised: 10/08/2022] [Accepted: 10/27/2022] [Indexed: 12/27/2022] Open
Abstract
Genomic recombination is an important driving force for viral evolution, and recombination events have been reported for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the Coronavirus Disease 2019 pandemic, which significantly alter viral infectivity and transmissibility. However, it is difficult to identify viral recombination, especially for low-divergence viruses such as SARS-CoV-2, since it is hard to distinguish recombination from in situ mutation. Herein, we applied information theory to viral recombination analysis and developed VirusRecom, a program for efficiently screening recombination events on viral genome. In principle, we considered a recombination event as a transmission process of ``information'' and introduced weighted information content (WIC) to quantify the contribution of recombination to a certain region on viral genome; then, we identified the recombination regions by comparing WICs of different regions. In the benchmark using simulated data, VirusRecom showed a good balance between precision and recall compared to two competing tools, RDP5 and 3SEQ. In the detection of SARS-CoV-2 XE, XD and XF recombinants, VirusRecom providing more accurate positions of recombination regions than RDP5 and 3SEQ. In addition, we encapsulated the VirusRecom program into a command-line-interface software for convenient operation by users. In summary, we developed a novel approach based on information theory to identify viral recombination within highly similar sequences, providing a useful tool for monitoring viral evolution and epidemic control.
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Affiliation(s)
- Zhi-Jian Zhou
- Hunan Provincial Key Laboratory of Medical Virology, Institute of Pathogen Biology and Immunology, College of Biology, Hunan University, 27 Tianma Rd., Changsha, Hunan, 410012, China
| | - Chen-Hui Yang
- Hunan Provincial Key Laboratory of Medical Virology, Institute of Pathogen Biology and Immunology, College of Biology, Hunan University, 27 Tianma Rd., Changsha, Hunan, 410012, China
| | - Sheng-Bao Ye
- Hunan Provincial Key Laboratory of Medical Virology, Institute of Pathogen Biology and Immunology, College of Biology, Hunan University, 27 Tianma Rd., Changsha, Hunan, 410012, China
| | - Xiao-Wei Yu
- Hunan Provincial Key Laboratory of Medical Virology, Institute of Pathogen Biology and Immunology, College of Biology, Hunan University, 27 Tianma Rd., Changsha, Hunan, 410012, China.,Hunan Prevention and Treatment Institute for Occupational Diseases, 162 Xinjian W. Rd., Changsha, Hunan, 410000, China
| | - Ye Qiu
- Hunan Provincial Key Laboratory of Medical Virology, Institute of Pathogen Biology and Immunology, College of Biology, Hunan University, 27 Tianma Rd., Changsha, Hunan, 410012, China
| | - Xing-Yi Ge
- Hunan Provincial Key Laboratory of Medical Virology, Institute of Pathogen Biology and Immunology, College of Biology, Hunan University, 27 Tianma Rd., Changsha, Hunan, 410012, China
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10
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Wang Y, Long Y, Wang F, Li C, Liu W. Characterization of SARS-CoV-2 recombinants and emerging Omicron sublineages. Int J Med Sci 2023; 20:151-162. [PMID: 36619228 PMCID: PMC9812801 DOI: 10.7150/ijms.79116] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 12/10/2022] [Indexed: 01/06/2023] Open
Abstract
The SARS-CoV-2 Omicron is currently the predominant circulating variant in the COVID-19 pandemic. The dominating Omicron sublineages respond to host immune pressure and develop advantageous mutations or genetic recombination, which result in variants that are more contagious or better at escaping immune responses in response to previous infection or vaccination. Meanwhile, multiple genetic recombination events have been reported in coinfection cases, the majority of which have resulted from the recombination between co-circulating Omicron BA.1 (or BA.1.1) and Delta variant or BA.2. Here, we review the knowledge and characterization of recombination for SARS-CoV-2 at the population level, provide an update on the occurrence of newly circulating Omicron sublineages, and discuss the effectiveness of novel vaccines/therapeutic drugs against the Omicron variant.
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Affiliation(s)
- Yuliang Wang
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Yiyin Long
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Feng Wang
- Department of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Changlin Li
- Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Wei Liu
- Tianjin Children's Hospital, Children's Hospital, Tianjin University, Tianjin, China
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11
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Salimović-Bešić I, Dedeić-Ljubović A, Zahirović E, Hasanović M, Šehić M, Vukovikj M, Boshevska G, Vegar-Zubović S, Mehmedika-Suljić E, Izetbegović S. The SARS-CoV-2 Delta (B.1.617.2) variant with spike N501Y mutation in the shadow of Omicron emergence. Heliyon 2022; 8:e12650. [PMID: 36590492 PMCID: PMC9789543 DOI: 10.1016/j.heliyon.2022.e12650] [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: 04/05/2022] [Revised: 10/05/2022] [Accepted: 12/20/2022] [Indexed: 12/25/2022] Open
Abstract
Circulation of the Omicron variant with the reemergence of the N501Y mutation along with many others in the spike protein has once again stirred the academic community. Interestingly, tracing the genetic diversity of SARS-CoV-2 shed light on a less frequent N501Y + Delta variant which has been in the global circulation for some time before the Omicron appearance. This paper aims to present the molecular characteristics of the SARS-CoV-2 Spike_N501Y + Delta variant detected in Bosnia and Herzegovina. The study was conducted during November and December 2021. All patients were tested using real-time RT-PCR for detection of SARS-CoV-2. A representative number of SARS-CoV-2 positive samples was pre-screened using VirSNiP SARS-CoV-2 Spike N501Y kit. The characterization of the viruses was carried out with Illumina RNA Prep with enrichment and the Respiratory Virus Oligo Panel kit. Among the analyzed sequences, we found two isolates of the Delta variant that differ from their most related clade- GK AY.4.3 in additional mutations N501Y and L54F. In this study, we described the presence of a rare form of Delta variant with Spike_N501Y mutation in the shadow of the Omicron emergence. Despite the set of mutations in the Spike protein, this form of Delta variant does not indicate the large-scale consequences for the general population. Further functional studies of this form could provide more information about its antigenicity and infectivity.
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Affiliation(s)
- Irma Salimović-Bešić
- Clinical Center of the University of Sarajevo, Bolnička 25, 71000, Sarajevo, Bosnia and Herzegovina,Corresponding author.
| | - Amela Dedeić-Ljubović
- Clinical Center of the University of Sarajevo, Bolnička 25, 71000, Sarajevo, Bosnia and Herzegovina
| | - Edina Zahirović
- Clinical Center of the University of Sarajevo, Bolnička 25, 71000, Sarajevo, Bosnia and Herzegovina
| | - Medina Hasanović
- Clinical Center of the University of Sarajevo, Bolnička 25, 71000, Sarajevo, Bosnia and Herzegovina
| | - Merima Šehić
- Clinical Center of the University of Sarajevo, Bolnička 25, 71000, Sarajevo, Bosnia and Herzegovina
| | - Maja Vukovikj
- Institute of Public Health of Republic of North Macedonia, 50-ta Divizija 6, 1000, Skopje, Macedonia
| | - Golubinka Boshevska
- Faculty for Medical Sciences, University Goce Delchev, Krste Misirkov No.10-A P.O. Box 201, 2000, Shtip, Macedonia
| | - Sandra Vegar-Zubović
- Clinical Center of the University of Sarajevo, Bolnička 25, 71000, Sarajevo, Bosnia and Herzegovina
| | - Enra Mehmedika-Suljić
- Clinical Center of the University of Sarajevo, Bolnička 25, 71000, Sarajevo, Bosnia and Herzegovina
| | - Sebija Izetbegović
- Clinical Center of the University of Sarajevo, Bolnička 25, 71000, Sarajevo, Bosnia and Herzegovina
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12
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Singh P, Sharma K, Shaw D, Bhargava A, Negi SS. Mosaic Recombination Inflicted Various SARS-CoV-2 Lineages to Emerge into Novel Virus Variants: a Review Update. Indian J Clin Biochem 2022; 38:1-8. [PMID: 36569378 PMCID: PMC9759274 DOI: 10.1007/s12291-022-01109-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022]
Abstract
Human Coronaviruses (hCoVs) belongs to the enormous and dissimilar family of positive-sense, non-segmented, single-stranded RNA viruses. The RNA viruses are prone to high rates of mutational recombination resulting in emergence of evolutionary variant to alter various features including transmissibility and severity. The evolutionary changes affect the immune escape and reduce effectiveness of diagnostic and therapeutic measures by becoming undetectable by the currently available diagnostics and refractory to therapeutics and vaccines. Whole genome sequencing studies from various countries have adequately reported mosaic recombination between different lineage strain of SARS-CoV-2 whereby RNA dependent RNA polymerase (RdRp) gene reconnects with a homologous RNA strand at diverse position. This all lead to evolutionary emergence of new variant/ lineage as evident with the emergence of XBB in India at the time of writing this review. The continuous periodical genomic surveillance is utmost required for understanding the various lineages involved in recombination to emerge into hybrid variant. This may further help in assessing virus transmission dynamics, virulence and severity factor to help health authorities take appropriate timely action for prevention and control of any future COVID-19 outbreak.
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Affiliation(s)
- Pushpendra Singh
- Department of Microbiology, All India Institute of Medical Sciences, Raipur, Chhattisgarh India
| | - Kuldeep Sharma
- Department of Microbiology, All India Institute of Medical Sciences, Raipur, Chhattisgarh India
| | - Dipika Shaw
- Department of Microbiology, All India Institute of Medical Sciences, Raipur, Chhattisgarh India
| | - Anudita Bhargava
- Department of Microbiology, All India Institute of Medical Sciences, Raipur, Chhattisgarh India
| | - Sanjay Singh Negi
- Department of Microbiology, All India Institute of Medical Sciences, Raipur, Chhattisgarh India
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13
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Farahat RA, Abdelaal A, Umar TP, El-Sakka AA, Benmelouka AY, Albakri K, Ali I, Al-Ahdal T, Abdelazeem B, Sah R, Rodriguez-Morales AJ. The emergence of SARS-CoV-2 Omicron subvariants: current situation and future trends. LE INFEZIONI IN MEDICINA 2022; 30:480-494. [PMID: 36482957 PMCID: PMC9714996 DOI: 10.53854/liim-3004-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 11/03/2022] [Indexed: 12/12/2022]
Abstract
The SARS-CoV-2 Omicron variant (B.1.1.529) has been the most recent variant of concern (VOC) established by the World Health Organization (WHO). Because of its greater infectivity and immune evasion, this variant quickly became the dominant type of circulating SARS-CoV-2 worldwide. Our literature review thoroughly explains the current state of Omicron emergence, particularly by comparing different omicron subvariants, including BA.2, BA.1, and BA.3. Such elaboration would be based on structural variations, mutations, clinical manifestation, transmissibility, pathogenicity, and vaccination effectiveness. The most notable difference between the three subvariants is the insufficiency of deletion (Δ69-70) in the spike protein, which results in a lower detection rate of the spike (S) gene target known as (S) gene target failure (SGTF). Furthermore, BA.2 had a stronger affinity to the human Angiotensin-converting Enzyme (hACE2) receptor than other Omicron sub-lineages. Regarding the number of mutations, BA.1.1 has the most (40), followed by BA.1, BA.3, and BA.3 with 39, 34, and 31 mutations, respectively. In addition, BA.2 and BA.3 have greater transmissibility than other sub-lineages (BA.1 and BA.1.1). These characteristics are primarily responsible for Omicron's vast geographical spread and high contagiousness rates, particularly BA.2 sub-lineages.
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Affiliation(s)
| | - Abdelaziz Abdelaal
- Harvard Medical School, Boston, MA,
USA,Boston University, MA,
USA,General Practitioner, Tanta University Hospitals,
Egypt
| | | | | | | | - Khaled Albakri
- Faculty of Medicine, The Hashemite University, Zarqa,
Jordan
| | - Iftikhar Ali
- Department of Pharmacy, Paraplegic Center, Peshawar,
Pakistan
| | - Tareq Al-Ahdal
- Institute of Global Health (HIGH), Heidelberg University, Heidelberg,
Germany
| | - Basel Abdelazeem
- Department of Internal Medicine, McLaren Health Care, Flint, Michigan,
USA,Department of Internal Medicine, Michigan State University, East Lansing, Michigan,
USA
| | - Ranjit Sah
- Department of Microbiology, Tribhuvan University Teaching Hospital, Institute of Medicine, Kathmandu,
Nepal,Dr. D.Y Patil Medical College, Hospital and Research Centre, Dr. D.Y. Patil Vidyapeeth, Pune, Maharashtra,
India
| | - Alfonso J. Rodriguez-Morales
- Grupo de Investigación Biomedicina, Faculty of Medicine, Fundación Universitaria Autónoma de Las Américas, Pereira, Risaralda,
Colombia,Faculty of Medicine, Institución Universitaria Vision de Las Americas, Pereira, Risaralda,
Colombia,Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut P.O. Box 36,
Lebanon,Master of Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima,
Perú
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14
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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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15
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Lueking R, Clark AE, Narasimhan M, Mahimainathan L, Muthukumar A, Larsen CP, SoRelle JA. SARS-CoV-2 coinfections with variant genomic lineages identified by multiplex fragment analysis. Front Genet 2022; 13:942713. [PMID: 36226173 PMCID: PMC9549124 DOI: 10.3389/fgene.2022.942713] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/04/2022] [Indexed: 11/13/2022] Open
Abstract
Immunocompromised patients can experience prolonged SARS-CoV-2 infections in the setting of a lack of protectivity immunity despite vaccination. As circulating SARS-CoV-2 strains become more heterogeneous, concomitant infection with multiple SARS-CoV-2 variants has become an increasing concern. Immunocompromised patient populations represent potential reservoirs for the emergence of novel SARS-CoV-2 variants through mutagenic change or coinfection followed by recombinatory events. Identification of SARS-CoV-2 coinfections is challenging using traditional next generation sequencing pipelines; however, targeted genotyping approaches can facilitate detection. Here we describe five COVID-19 cases caused by coinfection with different SARS-CoV-2 variants (Delta/Omicron BA.1 and Omicron BA.1/BA.2) as identified by multiplex fragment analysis.
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Affiliation(s)
- Richard Lueking
- Department of Internal Medicine, Division of Infectious Diseases and Geographic Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Andrew E. Clark
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Madhusudhanan Narasimhan
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Lenin Mahimainathan
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Alagarraju Muthukumar
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Christian P. Larsen
- Department of Internal Medicine, Division of Infectious Diseases and Geographic Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Jeffrey A. SoRelle
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, United States
- *Correspondence: Jeffrey A. SoRelle,
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16
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Chaqroun A, Hartard C, Josse T, Taverniers A, Jeulin H, Gantzer C, Murray JM, Bertrand I, Schvoerer E. SARS-CoV-2 Variability in Patients and Wastewaters—Potential Immuno-Modulation during the Shift from Delta to Omicron. Biomedicines 2022; 10:biomedicines10092080. [PMID: 36140181 PMCID: PMC9496010 DOI: 10.3390/biomedicines10092080] [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: 07/23/2022] [Revised: 08/19/2022] [Accepted: 08/21/2022] [Indexed: 11/16/2022] Open
Abstract
The continuous emergence of SARS-CoV-2 variants favors potential co-infections and/or viral mutation events, leading to possible new biological properties. The aim of this work was to characterize SARS-CoV-2 genetic variability during the Delta–Omicron shift in patients and in a neighboring wastewater treatment plant (WWTP) in the same urban area. The surveillance of SARS-CoV-2 was performed by routine screening of positive samples by single nucleotide polymorphism analysis within the S gene. Moreover, additionally to national systematic whole genome sequencing (WGS) once a week in SARS-CoV-2-positive patients, WGS was also applied when mutational profiles were difficult to interpret by routine screening. Thus, WGS was performed on 414 respiratory samples and on four wastewater samples, northeastern France. This allowed us to report (i) the temporally concordant Delta to Omicron viral shift in patients and wastewaters; (ii) the characterization of 21J (Delta) and 21K (Omicron)/BA.1-21L (Omicron)/BA.2-BA.4 mixtures from humans or environmental samples; (iii) the mapping of composite mutations and the predicted impact on immune properties in the viral Spike protein.
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Affiliation(s)
- Ahlam Chaqroun
- CNRS, LCPME, Université de Lorraine, F-54000 Nancy, France
- Laboratoire de Virologie-Microbiologie, Hôpital Universitaire de Nancy, Université de Lorraine, F-54000 Nancy, France
| | - Cédric Hartard
- CNRS, LCPME, Université de Lorraine, F-54000 Nancy, France
- Laboratoire de Virologie-Microbiologie, Hôpital Universitaire de Nancy, Université de Lorraine, F-54000 Nancy, France
| | - Thomas Josse
- Laboratoire de Virologie-Microbiologie, Hôpital Universitaire de Nancy, Université de Lorraine, F-54000 Nancy, France
| | - Audrey Taverniers
- Laboratoire de Virologie-Microbiologie, Hôpital Universitaire de Nancy, Université de Lorraine, F-54000 Nancy, France
| | - Hélène Jeulin
- CNRS, LCPME, Université de Lorraine, F-54000 Nancy, France
- Laboratoire de Virologie-Microbiologie, Hôpital Universitaire de Nancy, Université de Lorraine, F-54000 Nancy, France
| | | | - John M. Murray
- School of Mathematics and Statistics, UNSW Sydney, Sydney, NSW 2052, Australia
| | | | | | - Evelyne Schvoerer
- CNRS, LCPME, Université de Lorraine, F-54000 Nancy, France
- Laboratoire de Virologie-Microbiologie, Hôpital Universitaire de Nancy, Université de Lorraine, F-54000 Nancy, France
- Correspondence: or
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17
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Li J, Gao Z, Chen J, Cheng R, Niu J, Zhang J, Yang Y, Yuan X, Xia J, Mao G, Liu H, Dong Y, Wu C. Development of a panel of three multiplex allele-specific qRT-PCR assays for quick differentiation of recombinant variants and Omicron subvariants of SARS-CoV-2. Front Cell Infect Microbiol 2022; 12:953027. [PMID: 36061868 PMCID: PMC9433905 DOI: 10.3389/fcimb.2022.953027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022] Open
Abstract
Quick differentiation of the circulating variants and the emerging recombinant variants of SARS-CoV-2 is essential to monitor their transmission. However, the widely used gene sequencing method is time-consuming and costly when facing the viral recombinant variants, because partial or whole genome sequencing is required. Allele-specific real time RT-PCR (qRT-PCR) represents a quick and cost-effective method in SNP genotyping and has been successfully applied for SARS-CoV-2 variant screening. In the present study, we developed a panel of 3 multiplex allele-specific qRT-PCR assays targeting 12 key differential mutations for quick differentiation of SARS-CoV-2 recombinant variants (XD and XE) and Omicron subvariants (BA.1 and BA.2). Two parallel multiplex qRT-PCR reactions were designed to separately target the protype allele and the mutated allele of the four mutations in each allele-specific qRT-PCR assay. The variation of Cp values (ΔCp) between the two multiplex qRT-PCR reactions was applied for mutation determination. The developed multiplex allele-specific qRT-PCR assays exhibited outstanding analytical sensitivities (with limits of detection [LoDs] of 2.97-27.43 copies per reaction), wide linear detection ranges (107-100 copies per reaction), good amplification efficiencies (82% to 95%), good reproducibility (Coefficient of Variations (CVs) < 5% in both intra-assay and inter-assay tests) and clinical performances (99.5%-100% consistency with Sanger sequencing). The developed multiplex allele-specific qRT-PCR assays in this study provide an alternative tool for quick differentiation of SARS-CoV-2 recombinant variants (XD and XE) and Omicron subvariants (BA.1 and BA.2).
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Affiliation(s)
- Jianguo Li
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
- *Correspondence: Jianguo Li, ; Changxin Wu,
| | - Zefeng Gao
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
| | - Jing Chen
- Shanxi Provincial Key Laboratory for Major Infectious Disease Response, Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China
| | - Ruiling Cheng
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
| | - Jiahui Niu
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
| | - Jialei Zhang
- College of Life Sciences, Shanxi University, Taiyuan, China
| | - You Yang
- College of Life Sciences, Shanxi University, Taiyuan, China
| | - Ximei Yuan
- College of Life Sciences, Shanxi University, Taiyuan, China
| | - Juan Xia
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
| | - Guoli Mao
- Laboratory, Shanxi Guoxin Caregeno Biotechnology Co., Ltd, Taiyuan, China
| | - Hulong Liu
- Laboratory, Shanxi Guoxin Caregeno Biotechnology Co., Ltd, Taiyuan, China
| | - Yongkang Dong
- Administrative Office, the Fourth People's Hospital of Taiyuan, Taiyuan, China
| | - Changxin Wu
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Institutes of Biomedical Sciences, Shanxi University, Taiyuan, China
- *Correspondence: Jianguo Li, ; Changxin Wu,
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18
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Functional mutations of SARS-CoV-2: implications to viral transmission, pathogenicity and immune escape. Chin Med J (Engl) 2022; 135:1213-1222. [PMID: 35788093 PMCID: PMC9337262 DOI: 10.1097/cm9.0000000000002158] [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] [Indexed: 11/27/2022] Open
Abstract
The pandemic of coronavirus disease 2019 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to major public health challenges globally. The increasing viral lineages identified indicate that the SARS-CoV-2 genome is evolving at a rapid rate. Viral genomic mutations may cause antigenic drift or shift, which are important ways by which SARS-CoV-2 escapes the human immune system and changes its transmissibility and virulence. Herein, we summarize the functional mutations in SARS-CoV-2 genomes to characterize its adaptive evolution to inform the development of vaccination, treatment as well as control and intervention measures.
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19
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Genomic evidence for divergent co-infections of co-circulating SARS-CoV-2 lineages. Comput Struct Biotechnol J 2022; 20:4015-4024. [PMID: 35915661 PMCID: PMC9330581 DOI: 10.1016/j.csbj.2022.07.042] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 07/25/2022] [Accepted: 07/25/2022] [Indexed: 12/15/2022] Open
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20
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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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21
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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: 60] [Impact Index Per Article: 30.0] [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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22
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Nunes DR, Braconi CT, Ludwig-Begall LF, Arns CW, Durães-Carvalho R. Deep phylogenetic-based clustering analysis uncovers new and shared mutations in SARS-CoV-2 variants as a result of directional and convergent evolution. PLoS One 2022; 17:e0268389. [PMID: 35609034 PMCID: PMC9129020 DOI: 10.1371/journal.pone.0268389] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 04/28/2022] [Indexed: 02/06/2023] Open
Abstract
Nearly two decades after the last epidemic caused by a severe acute respiratory syndrome coronavirus (SARS-CoV), newly emerged SARS-CoV-2 quickly spread in 2020 and precipitated an ongoing global public health crisis. Both the continuous accumulation of point mutations, owed to the naturally imposed genomic plasticity of SARS-CoV-2 evolutionary processes, as well as viral spread over time, allow this RNA virus to gain new genetic identities, spawn novel variants and enhance its potential for immune evasion. Here, through an in-depth phylogenetic clustering analysis of upwards of 200,000 whole-genome sequences, we reveal the presence of previously unreported and hitherto unidentified mutations and recombination breakpoints in Variants of Concern (VOC) and Variants of Interest (VOI) from Brazil, India (Beta, Eta and Kappa) and the USA (Beta, Eta and Lambda). Additionally, we identify sites with shared mutations under directional evolution in the SARS-CoV-2 Spike-encoding protein of VOC and VOI, tracing a heretofore-undescribed correlation with viral spread in South America, India and the USA. Our evidence-based analysis provides well-supported evidence of similar pathways of evolution for such mutations in all SARS-CoV-2 variants and sub-lineages. This raises two pivotal points: (i) the co-circulation of variants and sub-lineages in close evolutionary environments, which sheds light onto their trajectories into convergent and directional evolution, and (ii) a linear perspective into the prospective vaccine efficacy against different SARS-CoV-2 strains.
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Affiliation(s)
- Danilo Rosa Nunes
- Department of Microbiology, Immunology and Parasitology, Paulista School of Medicine, Federal University of São Paulo, São Paulo, SP, Brazil
| | - Carla Torres Braconi
- Department of Microbiology, Immunology and Parasitology, Paulista School of Medicine, Federal University of São Paulo, São Paulo, SP, Brazil
- * E-mail: (CTB); (RDC)
| | - Louisa F. Ludwig-Begall
- Department of Infectious and Parasitic Diseases, Veterinary Virology and Animal Viral Diseases, FARAH Research Centre, Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
| | - Clarice Weis Arns
- Laboratory of Virology, University of Campinas, Campinas, SP, Brazil
| | - Ricardo Durães-Carvalho
- Department of Microbiology, Immunology and Parasitology, Paulista School of Medicine, Federal University of São Paulo, São Paulo, SP, Brazil
- * E-mail: (CTB); (RDC)
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23
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Ou J, Lan W, Wu X, Zhao T, Duan B, Yang P, Ren Y, Quan L, Zhao W, Seto D, Chodosh J, Luo Z, Wu J, Zhang Q. Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events. Signal Transduct Target Ther 2022; 7:138. [PMID: 35474215 PMCID: PMC9039610 DOI: 10.1038/s41392-022-00992-2] [Citation(s) in RCA: 122] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 03/27/2022] [Accepted: 04/07/2022] [Indexed: 11/09/2022] Open
Abstract
The current pandemic of COVID-19 is fueled by more infectious emergent Omicron variants. Ongoing concerns of emergent variants include possible recombinants, as genome recombination is an important evolutionary mechanism for the emergence and re-emergence of human viral pathogens. In this study, we identified diverse recombination events between two Omicron major subvariants (BA.1 and BA.2) and other variants of concern (VOCs) and variants of interest (VOIs), suggesting that co-infection and subsequent genome recombination play important roles in the ongoing evolution of SARS-CoV-2. Through scanning high-quality completed Omicron spike gene sequences, 18 core mutations of BA.1 (frequency >99%) and 27 core mutations of BA.2 (nine more than BA.1) were identified, of which 15 are specific to Omicron. BA.1 subvariants share nine common amino acid mutations (three more than BA.2) in the spike protein with most VOCs, suggesting a possible recombination origin of Omicron from these VOCs. There are three more Alpha-related mutations in BA.1 than BA.2, and BA.1 is phylogenetically closer to Alpha than other variants. Revertant mutations are found in some dominant mutations (frequency >95%) in the BA.1. Most notably, multiple characteristic amino acid mutations in the Delta spike protein have been also identified in the "Deltacron"-like Omicron Variants isolated since November 11, 2021 in South Africa, which implies the recombination events occurring between the Omicron and Delta variants. Monitoring the evolving SARS-CoV-2 genomes especially for recombination is critically important for recognition of abrupt changes to viral attributes including its epitopes which may call for vaccine modifications.
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Affiliation(s)
- Junxian Ou
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China.,BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China
| | - Wendong Lan
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China
| | - Xiaowei Wu
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China
| | - Tie Zhao
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China
| | - Biyan Duan
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China
| | - Peipei Yang
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China
| | - Yi Ren
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China
| | - Lulu Quan
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China
| | - Wei Zhao
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China
| | - Donald Seto
- Bioinformatics and Computational Biology Program, School of Systems Biology, George Mason University, Manassas, VA, 20110, USA
| | - James Chodosh
- Department of Ophthalmology, Howe Laboratory Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, 02114, USA
| | - Zhen Luo
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China.,Foshan Institute of Medical Microbiology, 528315, Foshan, China
| | - Jianguo Wu
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China. .,Foshan Institute of Medical Microbiology, 528315, Foshan, China.
| | - Qiwei Zhang
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China. .,BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China. .,Foshan Institute of Medical Microbiology, 528315, Foshan, China.
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