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Kohler C, King J, Stacker L, Goller KV, Moritz J, Pohlmann A, Nath N, Tzvetkova A, Rieck M, Paraskevopoulou S, Beslic D, Hölzer M, Fuchs S, Ziemann J, Kaderali L, Beer M, Hübner NO, Becker K. Neighbourhood watch: genomic epidemiology of SARS-CoV-2 variants circulating in a German federal state, Mecklenburg-Western Pomerania, in 2020-2022. Emerg Microbes Infect 2023; 12:2245916. [PMID: 37585712 PMCID: PMC10446807 DOI: 10.1080/22221751.2023.2245916] [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: 03/22/2023] [Revised: 07/03/2023] [Accepted: 08/03/2023] [Indexed: 08/18/2023]
Abstract
ABSTRACTGlobal and even national genome surveillance approaches do not provide the resolution necessary for rapid and accurate direct response by local public health authorities. Hence, a regional network of microbiological laboratories in collaboration with the health departments of all districts of the German federal state of Mecklenburg-Western Pomerania (M-V) was formed to investigate the regional molecular epidemiology of circulating SARS-CoV-2 lineages between 11/2020 and 03/2022. More than 4750 samples from all M-V counties were sequenced using Illumina and Nanopore technologies. Overall, 3493 (73.5%) sequences fulfilled quality criteria for time-resolved and/or spatially-resolved maximum likelihood phylogenic analyses and k-mean/ median clustering (KMC). We identified 116 different Pangolin virus lineages that can be assigned to 16 Nextstrain clades. The ten most frequently detected virus lineages belonged to B.1.1.7, AY.122, AY.43, BA.1, B.1.617.2, BA.1.1, AY.9.2, AY.4, P.1 and AY.126. Time-resolved phylogenetic analyses showed the occurrence of virus clades as determined worldwide, but with a substantial delay of one to two months. Further spatio-temporal phylogenetic analyses revealed a regional outbreak of a Gamma variant limited to western M-V counties. Finally, KMC elucidated a successive introduction of the various virus lineages into M-V, possibly triggered by vacation periods with increased (inter-) national travel activities. The COVID-19 pandemic in M-V was shaped by a combination of several SARS-CoV-2 introductions, lockdown measures, restrictive quarantine of patients and the lineage specific replication rate. Complementing global and national surveillance, regional surveillance adds value by providing a higher level of surveillance resolution tailored to local health authorities.
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Affiliation(s)
- Christian Kohler
- Friedrich-Loeffler-Institute of Medical Microbiology, University Medicine Greifswald, Greifswald, Germany
| | - Jacqueline King
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institute—Federal Research Institute for Animal Health, Greifswald-Insel Riems, Germany
| | - Lina Stacker
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institute—Federal Research Institute for Animal Health, Greifswald-Insel Riems, Germany
| | - Katja V. Goller
- Institute for Hygiene and Environmental Medicine and Central Unit for Infection Prevention and Control, University Medicine Greifswald, Greifswald, Germany
| | - Juliane Moritz
- Institute for Hygiene and Environmental Medicine and Central Unit for Infection Prevention and Control, University Medicine Greifswald, Greifswald, Germany
| | - Anne Pohlmann
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institute—Federal Research Institute for Animal Health, Greifswald-Insel Riems, Germany
| | - Neetika Nath
- Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany
| | - Ana Tzvetkova
- Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany
- Human Molecular Genetics Group, Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Maximilian Rieck
- Institute for Hygiene and Environmental Medicine and Central Unit for Infection Prevention and Control, University Medicine Greifswald, Greifswald, Germany
| | | | - Denis Beslic
- Genome Competence Center (MF1), Robert Koch Institute, Berlin, Germany
| | - Martin Hölzer
- Genome Competence Center (MF1), Robert Koch Institute, Berlin, Germany
| | - Stephan Fuchs
- Genome Competence Center (MF1), Robert Koch Institute, Berlin, Germany
| | - Janine Ziemann
- Institute for Hygiene and Environmental Medicine and Central Unit for Infection Prevention and Control, University Medicine Greifswald, Greifswald, Germany
| | - Lars Kaderali
- Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany
| | - Martin Beer
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institute—Federal Research Institute for Animal Health, Greifswald-Insel Riems, Germany
| | - Nils-Olaf Hübner
- Institute for Hygiene and Environmental Medicine and Central Unit for Infection Prevention and Control, University Medicine Greifswald, Greifswald, Germany
| | - Karsten Becker
- Friedrich-Loeffler-Institute of Medical Microbiology, University Medicine Greifswald, Greifswald, Germany
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2
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Sadeghi K, Zadheidar S, Zebardast A, Nejati A, Faraji M, Ghavami N, Kalantari S, Salimi V, Yavarian J, Abedi A, Jandaghi NZS, Mokhtari‐Azad T. Genomic surveillance of SARS-CoV-2 strains circulating in Iran during six waves of the pandemic. Influenza Other Respir Viruses 2023; 17:e13135. [PMID: 37078070 PMCID: PMC10106497 DOI: 10.1111/irv.13135] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/25/2023] [Accepted: 04/03/2023] [Indexed: 04/21/2023] Open
Abstract
Background SARS-CoV-2 genomic surveillance is necessary for the detection, monitoring, and evaluation of virus variants, which can have increased transmissibility, disease severity, or other adverse effects. We sequenced 330 SARS-CoV-2 genomes during the sixth wave of the COVID pandemic in Iran and compared them with five previous waves, for identifying SARS-CoV-2 variants, the genomic behavior of the virus, and understanding its characteristics. Methods After viral RNA extraction from clinical samples collected during the COVID-19 pandemic, next generation sequencing was performed using the Nextseq and Nanopore platforms. The sequencing data were analyzed and compared with reference sequences. Results In Iran during the first wave, V and L clades were detected. The second wave was recognized by G, GH, and GR clades. Circulating clades during the third wave were GH and GR. In the fourth wave, GRY (alpha variant), GK (delta variant), and one GH clade (beta variant) were detected. All viruses in the fifth wave were in GK clade (delta variant). In the sixth wave, Omicron variant (GRA clade) was circulating. Conclusions Genome sequencing, a key strategy in genomic surveillance systems, helps to detect and monitor the prevalence of SARS-CoV-2 variants, monitor the viral evolution of SARS-CoV-2, identify new variants for disease prevention, control, and treatment, and also provide information for and conduct public health measures in this area. With this system, Iran could be ready for surveillance of other respiratory virus diseases besides influenza and SARS-CoV-2.
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Affiliation(s)
- Kaveh Sadeghi
- Virology Department, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Sevrin Zadheidar
- Virology Department, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Arghavan Zebardast
- Virology Department, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Ahmad Nejati
- Virology Department, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Marziyeh Faraji
- Virology Department, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Nastaran Ghavami
- Virology Department, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Shirin Kalantari
- Virology Department, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Vahid Salimi
- Virology Department, School of Public HealthTehran University of Medical SciencesTehranIran
| | - Jila Yavarian
- Virology Department, School of Public HealthTehran University of Medical SciencesTehranIran
- Research Center for Antibiotic Stewardship & Antimicrobial ResistanceTehran University of Medical SciencesTehranIran
| | - Adel Abedi
- Mathematics DepartmentShahid Beheshti UniversityTehranIran
| | | | - Talat Mokhtari‐Azad
- Virology Department, School of Public HealthTehran University of Medical SciencesTehranIran
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3
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Puenpa J, Rattanakomol P, Saengdao N, Chansaenroj J, Yorsaeng R, Suwannakarn K, Thanasitthichai S, Vongpunsawad S, Poovorawan Y. Molecular characterisation and tracking of severe acute respiratory syndrome coronavirus 2 in Thailand, 2020-2022. Arch Virol 2023; 168:26. [PMID: 36593392 PMCID: PMC9807426 DOI: 10.1007/s00705-022-05666-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/30/2022] [Indexed: 01/04/2023]
Abstract
The global COVID-19 pandemic, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first detected in China in December 2019. To date, there have been approximately 3.4 million reported cases of COVID-19 and over 24,000 deaths in Thailand. In this study, we investigated the molecular characteristics and evolution of SARS-CoV-2 in Thailand from 2020 to 2022. Two hundred sixty-eight SARS-CoV-2 isolates, collected mostly in Bangkok from COVID-19 patients, were characterised by partial genome sequencing. Moreover, the viruses in 5,627 positive SARS-CoV-2 samples were identified as viral variants - B.1.1.7 (Alpha), B.1.617.2 (Delta), B.1.1.529 (Omicron/BA.1), or B.1.1.529 (Omicron/BA.2) - by multiplex real-time reverse transcription polymerase chain reaction (RT-PCR) assays. The results revealed that B.1.36.16 caused the predominant outbreak in the second wave (December 2020-January 2021), B.1.1.7 (Alpha) in the third wave (April-June 2021), B.1.617.2 (Delta) in the fourth wave (July-December 2021), and B.1.1.529 (Omicron) in the fifth wave (January-March 2022). The evolutionary rate of the viral genome was 2.60 × 10-3 (95% highest posterior density [HPD], 1.72 × 10-3 to 3.62 × 10-3) nucleotide substitutions per site per year. Continued molecular surveillance of SARS-CoV-2 is crucial for monitoring emerging variants with the potential to cause new COVID-19 outbreaks.
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Affiliation(s)
- Jiratchaya Puenpa
- grid.7922.e0000 0001 0244 7875Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Patthaya Rattanakomol
- grid.7922.e0000 0001 0244 7875Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Nutsada Saengdao
- grid.7922.e0000 0001 0244 7875Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand ,grid.416009.aDepartment of Microbiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Jira Chansaenroj
- grid.7922.e0000 0001 0244 7875Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Ritthideach Yorsaeng
- grid.7922.e0000 0001 0244 7875Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Kamol Suwannakarn
- grid.416009.aDepartment of Microbiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Somchai Thanasitthichai
- grid.415836.d0000 0004 0576 2573Institute of Medical Research and Technology Assessment, Ministry of Public Health, Bangkok, Thailand
| | - Sompong Vongpunsawad
- grid.7922.e0000 0001 0244 7875Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Yong Poovorawan
- grid.7922.e0000 0001 0244 7875Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand ,grid.512985.2FRS(T), The Royal Society of Thailand, Sanam Sueapa, Dusit, Bangkok, Thailand
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4
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Dumache R, Enache A, Macasoi I, Dehelean CA, Dumitrascu V, Mihailescu A, Popescu R, Vlad D, Vlad CS, Muresan C. SARS-CoV-2: An Overview of the Genetic Profile and Vaccine Effectiveness of the Five Variants of Concern. Pathogens 2022; 11:pathogens11050516. [PMID: 35631037 PMCID: PMC9144800 DOI: 10.3390/pathogens11050516] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 04/21/2022] [Accepted: 04/25/2022] [Indexed: 12/13/2022] Open
Abstract
With the onset of the COVID-19 pandemic, enormous efforts have been made to understand the genus SARS-CoV-2. Due to the high rate of global transmission, mutations in the viral genome were inevitable. A full understanding of the viral genome and its possible changes represents one of the crucial aspects of pandemic management. Structural protein S plays an important role in the pathogenicity of SARS-CoV-2, mutations occurring at this level leading to viral forms with increased affinity for ACE2 receptors, higher transmissibility and infectivity, resistance to neutralizing antibodies and immune escape, increasing the risk of infection and disease severity. Thus, five variants of concern are currently being discussed, Alpha, Beta, Gamma, Delta and Omicron. In the present review, a comprehensive summary of the following critical aspects regarding SARS-CoV-2 has been made: (i) the genomic characteristics of SARS-CoV-2; (ii) the pathological mechanism of transmission, penetration into the cell and action on specific receptors; (iii) mutations in the SARS-CoV-2 genome; and (iv) possible implications of mutations in diagnosis, treatment, and vaccination.
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Affiliation(s)
- Raluca Dumache
- Ethics and Human Identification Research Center, Department of Neurosciences, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.D.); (A.E.); (A.M.); (C.M.)
| | - Alexandra Enache
- Ethics and Human Identification Research Center, Department of Neurosciences, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.D.); (A.E.); (A.M.); (C.M.)
| | - Ioana Macasoi
- Departament of Toxicology and Drug Industry, Faculty of Pharmacy, “Victor Babeş” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No. 2, 300041 Timişoara, Romania
- Research Center for Pharmaco-Toxicological Evaluations, Faculty of Pharmacy, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No. 2, 300041 Timisoara, Romania
- Correspondence: (I.M.); (C.A.D.)
| | - Cristina Adriana Dehelean
- Departament of Toxicology and Drug Industry, Faculty of Pharmacy, “Victor Babeş” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No. 2, 300041 Timişoara, Romania
- Research Center for Pharmaco-Toxicological Evaluations, Faculty of Pharmacy, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No. 2, 300041 Timisoara, Romania
- Correspondence: (I.M.); (C.A.D.)
| | - Victor Dumitrascu
- Department of Pharmacology and Biochemistry, Discipline of Pharmacology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (V.D.); (D.V.); (C.S.V.)
| | - Alexandra Mihailescu
- Ethics and Human Identification Research Center, Department of Neurosciences, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.D.); (A.E.); (A.M.); (C.M.)
- Genetics, Genomic Medicine Research Center, Department of Microscopic Morphology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Roxana Popescu
- Department of Microscopic Morphology, Discipline of Molecular and Cell Biology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
| | - Daliborca Vlad
- Department of Pharmacology and Biochemistry, Discipline of Pharmacology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (V.D.); (D.V.); (C.S.V.)
| | - Cristian Sebastian Vlad
- Department of Pharmacology and Biochemistry, Discipline of Pharmacology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (V.D.); (D.V.); (C.S.V.)
| | - Camelia Muresan
- Ethics and Human Identification Research Center, Department of Neurosciences, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.D.); (A.E.); (A.M.); (C.M.)
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5
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Tang H, Gao L, Wu Z, Meng F, Zhao X, Shao Y, Hou G, Du X, Qin FXF. Multiple SARS-CoV-2 Variants Exhibit Variable Target Cell Infectivity and Ability to Evade Antibody Neutralization. Front Immunol 2022; 13:836232. [PMID: 35371108 PMCID: PMC8966392 DOI: 10.3389/fimmu.2022.836232] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/15/2022] [Indexed: 01/21/2023] Open
Abstract
The continuous emergence of SARS-coronavirus 2 (SARS-CoV-2) variants, especially the variants of concern (VOC), exacerbated the impact of the coronavirus disease 2019 (COVID-19) pandemic. As the key of viral entry into host cells, the spike (S) protein is the major target of therapeutic monoclonal antibodies (mAbs) and polyclonal antibodies elicited by infection or vaccination. However, the mutations of S protein in variants may change the infectivity and antigenicity of SARS-CoV-2, leading to the immune escape from those neutralizing antibodies. To characterize the mutations of S protein in newly emerging variants, the proteolytic property and binding affinity with receptor were assessed, and the vesicular stomatitis virus (VSV)-based pseudovirus system was used to assess the infectivity and immune escape. We found that some SARS-CoV-2 variants have changed significantly in viral infectivity; especially, B.1.617.2 is more likely to infect less susceptible cells than D614G, and the virus infection process can be completed in a shorter time. In addition, neutralizing mAbs and vaccinated sera partially or completely failed to inhibit host cell entry mediated by the S protein of certain SARS-CoV-2 variants. However, SARS-CoV-2 variant S protein-mediated viral infection can still be blocked by protease inhibitors and endocytosis inhibitors. This work provides a deeper understanding of the rise and evolution of SARS-CoV-2 variants and their immune evasion.
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Affiliation(s)
- Haijun Tang
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China
| | - Long Gao
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China
| | - Zhao Wu
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China
| | - Fang Meng
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China
| | - Xin Zhao
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China
| | - Yun Shao
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China
| | - Guocun Hou
- Department of Nephrology, Suzhou Science and Technology Town Hospital, Suzhou, China
| | - Xiaohong Du
- Institute of Clinical Medicine Research, Suzhou Science and Technology Town Hospital, Suzhou, China
| | - F Xiao-Feng Qin
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.,Suzhou Institute of Systems Medicine, Suzhou, China
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6
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Magazine N, Zhang T, Wu Y, McGee MC, Veggiani G, Huang W. Mutations and Evolution of the SARS-CoV-2 Spike Protein. Viruses 2022; 14:640. [PMID: 35337047 PMCID: PMC8949778 DOI: 10.3390/v14030640] [Citation(s) in RCA: 96] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 03/12/2022] [Accepted: 03/16/2022] [Indexed: 11/16/2022] Open
Abstract
The SARS-CoV-2 spike protein mediates target recognition, cellular entry, and ultimately the viral infection that leads to various levels of COVID-19 severities. Positive evolutionary selection of mutations within the spike protein has led to the genesis of new SARS-CoV-2 variants with greatly enhanced overall fitness. Given the trend of variants with increased fitness arising from spike protein alterations, it is critical that the scientific community understand the mechanisms by which these mutations alter viral functions. As of March 2022, five SARS-CoV-2 strains were labeled "variants of concern" by the World Health Organization: the Alpha, Beta, Gamma, Delta, and Omicron variants. This review summarizes the potential mechanisms by which the common mutations on the spike protein that occur within these strains enhance the overall fitness of their respective variants. In addressing these mutations within the context of the SARS-CoV-2 spike protein structure, spike/receptor binding interface, spike/antibody binding, and virus neutralization, we summarize the general paradigms that can be used to estimate the effects of future mutations along SARS-CoV-2 evolution.
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Affiliation(s)
- Nicholas Magazine
- Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70802, USA; (N.M.); (T.Z.); (M.C.M.)
| | - Tianyi Zhang
- Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70802, USA; (N.M.); (T.Z.); (M.C.M.)
| | - Yingying Wu
- Center of Mathematical Sciences and Applications, Harvard University, Cambridge, MA 02138, USA;
| | - Michael C. McGee
- Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70802, USA; (N.M.); (T.Z.); (M.C.M.)
| | - Gianluca Veggiani
- The Donnelly Center for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada;
| | - Weishan Huang
- Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70802, USA; (N.M.); (T.Z.); (M.C.M.)
- Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
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