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Sarkar M, Madabhavi I. COVID-19 mutations: An overview. World J Methodol 2024; 14:89761. [DOI: 10.5662/wjm.v14.i3.89761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 02/07/2024] [Accepted: 04/17/2024] [Indexed: 06/25/2024] Open
Abstract
The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) belongs to the genus Beta coronavirus and the family of Coronaviridae. It is a positive-sense, non-segmented single-strand RNA virus. Four common types of human coronaviruses circulate globally, particularly in the fall and winter seasons. They are responsible for 10%-30% of all mild upper respiratory tract infections in adults. These are 229E, NL63 of the Alfacoronaviridae family, OC43, and HKU1 of the Betacoronaviridae family. However, there are three highly pathogenic human coronaviruses: SARS-CoV-2, Middle East respiratory syndrome coronavirus, and the latest pandemic caused by the SARS-CoV-2 infection. All viruses, including SARS-CoV-2, have the inherent tendency to evolve. SARS-CoV-2 is still evolving in humans. Additionally, due to the development of herd immunity, prior infection, use of medication, vaccination, and antibodies, the viruses are facing immune pressure. During the replication process and due to immune pressure, the virus may undergo mutations. Several SARS-CoV-2 variants, including the variants of concern (VOCs), such as B.1.1.7 (Alpha), B.1.351 (Beta), B.1.617/B.1.617.2 (Delta), P.1 (Gamma), and B.1.1.529 (Omicron) have been reported from various parts of the world. These VOCs contain several important mutations; some of them are on the spike proteins. These mutations may lead to enhanced infectivity, transmissibility, and decreased neutralization efficacy by monoclonal antibodies, convalescent sera, or vaccines. Mutations may also lead to a failure of detection by molecular diagnostic tests, leading to a delayed diagnosis, increased community spread, and delayed treatment. We searched PubMed, EMBASE, Covariant, the Stanford variant Database, and the CINAHL from December 2019 to February 2023 using the following search terms: VOC, SARS-CoV-2, Omicron, mutations in SARS-CoV-2, etc. This review discusses the various mutations and their impact on infectivity, transmissibility, and neutralization efficacy.
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Affiliation(s)
- Malay Sarkar
- Department of Pulmonary Medicine, Indira Gandhi Medical College, Shimla 171001, Himachal Pradesh, India
| | - Irappa Madabhavi
- Department of Medical and Pediatric Oncology and Hematology, J N Medical College, and KAHER, Belagavi, Karnataka 590010, India
- Department of Medical and Pediatric Oncology and Hematology, Kerudi Cancer Hospital, Bagalkot, Karnataka 587103, India
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García-Crespo C, de Ávila AI, Gallego I, Soria ME, Durán-Pastor A, Somovilla P, Martínez-González B, Muñoz-Flores J, Mínguez P, Salar-Vidal L, Esteban-Muñoz M, Cañar-Camacho E, Ferrer-Orta C, Zuñiga S, Sola I, Enjuanes L, Esteban J, Fernández-Roblas R, Gadea I, Gómez J, Verdaguer N, Domingo E, Perales C. Synergism between remdesivir and ribavirin leads to SARS-CoV-2 extinction in cell culture. Br J Pharmacol 2024; 181:2636-2654. [PMID: 38616133 DOI: 10.1111/bph.16344] [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: 09/27/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND AND PURPOSE There is a need for effective anti-COVID-19 treatments, mainly for individuals at risk of severe disease such as the elderly and the immunosuppressed. Drug repositioning has proved effective in identifying drugs that can find a new application for the control of coronavirus disease, in particular COVID-19. The purpose of the present study was to find synergistic antiviral combinations for COVID-19 based on lethal mutagenesis. EXPERIMENTAL APPROACH The effect of combinations of remdesivir and ribavirin on the infectivity of SARS-CoV-2 in cell culture has been tested. Viral populations were monitored by ultra-deep sequencing, and the decrease of infectivity as a result of the treatment was measured. KEY RESULTS Remdesivir and ribavirin exerted a synergistic inhibitory activity against SARS-CoV-2, quantified both by CompuSyn (Chou-Talalay method) and Synergy Finder (ZIP-score model). In serial passage experiments, virus extinction was readily achieved with remdesivir-ribavirin combinations at concentrations well below their cytotoxic 50 value, but not with the drugs used individually. Deep sequencing of treated viral populations showed that remdesivir, ribavirin, and their combinations evoked significant increases of the number of viral mutations and haplotypes, as well as modification of diversity indices that characterize viral quasi-species. CONCLUSION AND IMPLICATIONS SARS-CoV-2 extinction can be achieved by synergistic combination treatments based on lethal mutagenesis. In addition, the results offer prospects of triple drug treatments for effective SARS-CoV-2 suppression.
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Affiliation(s)
- Carlos García-Crespo
- Centro de Biología Molecular Severo Ochoa (CBM), CSIC-UAM, Campus de Cantoblanco, Madrid, Spain
| | - Ana Isabel de Ávila
- Centro de Biología Molecular Severo Ochoa (CBM), CSIC-UAM, Campus de Cantoblanco, Madrid, Spain
| | - Isabel Gallego
- Centro de Biología Molecular Severo Ochoa (CBM), CSIC-UAM, Campus de Cantoblanco, Madrid, Spain
| | - María Eugenia Soria
- Centro de Biología Molecular Severo Ochoa (CBM), CSIC-UAM, Campus de Cantoblanco, Madrid, Spain
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
| | - Antoni Durán-Pastor
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
| | - Pilar Somovilla
- Centro de Biología Molecular Severo Ochoa (CBM), CSIC-UAM, Campus de Cantoblanco, Madrid, Spain
- Departamento de Biología Molecular, Universidad Autónoma de Madrid, Campus de Cantoblanco, Madrid, Spain
| | - Brenda Martínez-González
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
| | | | - Pablo Mínguez
- Department of Genetics & Genomics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Bioinformatics Unit, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
| | - Llanos Salar-Vidal
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Mario Esteban-Muñoz
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
| | - Elizabeth Cañar-Camacho
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
| | - Cristina Ferrer-Orta
- Institut de Biologia Molecular de Barcelona, Consejo Superior de Investigaciones Científicas (IBMB-CSIC), Barcelona, Spain
| | - Sonia Zuñiga
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
| | - Isabel Sola
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
| | - Luis Enjuanes
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
| | - Jaime Esteban
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Ricardo Fernández-Roblas
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Ignacio Gadea
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Centre for Biomedical Network Research on Infectious Diseases (CIBERINFEC), Madrid, Spain
| | - Jordi Gómez
- Instituto de Parasitología y Biomedicina 'López-Neyra' (CSIC), Parque Tecnológico Ciencias de la Salud, Armilla, Granada, Spain
| | - Nuria Verdaguer
- Institut de Biologia Molecular de Barcelona, Consejo Superior de Investigaciones Científicas (IBMB-CSIC), Barcelona, Spain
| | - Esteban Domingo
- Centro de Biología Molecular Severo Ochoa (CBM), CSIC-UAM, Campus de Cantoblanco, Madrid, Spain
| | - Celia Perales
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, Madrid, Spain
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Ereqat S, Alikhan NF, Al-Jawabreh A, Matthews M, Al-Jawabreh A, de Oliveira Martins L, Trotter AJ, Al-Kaila M, Page AJ, Pallen MJ, Nasereddin A. Epidemiological Characterization and Genetic Variation of the SARS-CoV-2 Delta Variant in Palestine. Pathogens 2024; 13:521. [PMID: 38921818 PMCID: PMC11206313 DOI: 10.3390/pathogens13060521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 05/29/2024] [Accepted: 06/06/2024] [Indexed: 06/27/2024] Open
Abstract
The emergence of new SARS-CoV-2 variants in Palestine highlights the need for continuous genetic surveillance and accurate screening strategies. This case series study aimed to investigate the geographic distribution and genetic variation of the SARS-CoV-2 Delta Variant in Palestine in August 2021. Samples were collected at random in August 2021 (n = 571) from eight districts in the West Bank, Palestine. All samples were confirmed as positive for COVID-19 by RT-PCR. The samples passed the quality control test and were successfully sequenced using the ARTIC protocol. The Delta Variant was revealed to have four dominant lineages: B.1.617 (19%), AY.122 (18%), AY.106 (17%), and AY.121 (13%). The study revealed eight significant purely spatial clusters (p < 0.005) distributed in the northern and southern parts of Palestine. Phylogenetic analysis of SARS-CoV-2 genomes (n = 552) showed no geographically specific clades. The haplotype network revealed three haplogroups without any geographic distribution. Chronologically, the Delta Variant peak in Palestine was shortly preceded by the one in the neighboring Israeli community and shortly followed by the peak in Jordan. In addition, the study revealed an extremely intense transmission network of the Delta Variant circulating between the Palestinian districts as hubs (SHR ≈ 0.5), with Al-Khalil, the district with the highest prevalence of COVID-19, witnessing the highest frequency of transitions. Genetic diversity analysis indicated closely related haplogroups, as haplotype diversity (Hd) is high but has low nucleotide diversity (π). However, nucleotide diversity (π) in Palestine is still higher than the global figures. Neutrality tests were significantly (p < 0.05) low, including Tajima's D, Fu-Li's F, and Fu-Li's D, suggesting one or more of the following: population expansion, selective sweep, and natural negative selection. Wright's F-statistic (Fst) showed genetic differentiation (Fst > 0.25) with low to medium gene flow (Nm). Recombination events were minimal between clusters (Rm) and between adjacent sites (Rs). The study confirms the utility of the whole genome sequence as a surveillance system to track the emergence of new SARS-CoV-2 variants for any possible geographical association and the use of genetic variation analysis and haplotype networking to delineate any minimal change or slight deviation in the viral genome from a reference strain.
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Affiliation(s)
- Suheir Ereqat
- Biochemistry and Molecular Biology Department, Faculty of Medicine, Al-Quds University, Abu Dis, Jerusalem P.O. Box 51000, Palestine; (S.E.); (A.N.)
| | - Nabil-Fareed Alikhan
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK; (N.-F.A.); (L.d.O.M.); (A.J.T.); (A.J.P.); (M.J.P.)
| | - Amer Al-Jawabreh
- Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Arab American University, Jenin P.O. Box 240, Palestine
- Leishmaniases Research Unit, Jericho P5840227, Palestine
| | - Michaela Matthews
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK; (N.-F.A.); (L.d.O.M.); (A.J.T.); (A.J.P.); (M.J.P.)
| | - Ahmed Al-Jawabreh
- Biochemistry and Molecular Biology Department, Faculty of Medicine, Al-Quds University, Abu Dis, Jerusalem P.O. Box 51000, Palestine; (S.E.); (A.N.)
- Ministry of Health of the State of Palestine, Ramallah P6028100, Palestine;
| | - Leonardo de Oliveira Martins
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK; (N.-F.A.); (L.d.O.M.); (A.J.T.); (A.J.P.); (M.J.P.)
| | - Alexander J. Trotter
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK; (N.-F.A.); (L.d.O.M.); (A.J.T.); (A.J.P.); (M.J.P.)
| | - Mai Al-Kaila
- Ministry of Health of the State of Palestine, Ramallah P6028100, Palestine;
| | - Andrew J. Page
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK; (N.-F.A.); (L.d.O.M.); (A.J.T.); (A.J.P.); (M.J.P.)
| | - Mark J. Pallen
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UQ, UK; (N.-F.A.); (L.d.O.M.); (A.J.T.); (A.J.P.); (M.J.P.)
- University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
- School of Veterinary Medicine, University of Surrey, Guildford GU2 7AL, UK
| | - Abedelmajeed Nasereddin
- Biochemistry and Molecular Biology Department, Faculty of Medicine, Al-Quds University, Abu Dis, Jerusalem P.O. Box 51000, Palestine; (S.E.); (A.N.)
- Al-Quds Bard College, Al-Quds University, East Jerusalem P.O. Box 20002, Palestine
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Hussain B, Wu C. Evolutionary and Phylogenetic Dynamics of SARS-CoV-2 Variants: A Genetic Comparative Study of Taiyuan and Wuhan Cities of China. Viruses 2024; 16:907. [PMID: 38932199 PMCID: PMC11209594 DOI: 10.3390/v16060907] [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: 04/08/2024] [Revised: 05/25/2024] [Accepted: 05/30/2024] [Indexed: 06/28/2024] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a positive-sense, single-stranded RNA genome-containing virus which has infected millions of people all over the world. The virus has been mutating rapidly enough, resulting in the emergence of new variants and sub-variants which have reportedly been spread from Wuhan city in China, the epicenter of the virus, to the rest of China and all over the world. The occurrence of mutations in the viral genome, especially in the viral spike protein region, has resulted in the evolution of multiple variants and sub-variants which gives the virus the benefit of host immune evasion and thus renders modern-day vaccines and therapeutics ineffective. Therefore, there is a continuous need to study the genetic characteristics and evolutionary dynamics of the SARS-CoV-2 variants. Hence, in this study, a total of 832 complete genomes of SARS-CoV-2 variants from the cities of Taiyuan and Wuhan in China was genetically characterized and their phylogenetic and evolutionary dynamics studied using phylogenetics, genetic similarity, and phylogenetic network analyses. This study shows that the four most prevalent lineages in Taiyuan and Wuhan are as follows: the Omicron lineages EG.5.1.1, followed by HK.3, FY.3, and XBB.1.16 (Pangolin classification), and clades 23F (EG.5.1), followed by 23H (HK.3), 22F (XBB), and 23D (XBB.1.9) (Nextclade classification), and lineage B followed by the Omicron FY.3, lineage A, and Omicron FL.2.3 (Pangolin classification), and the clades 19A, followed by 22F (XBB), 23F (EG.5.1), and 23H (HK.3) (Nextclade classification), respectively. Furthermore, our genetic similarity analysis show that the SARS-CoV-2 clade 19A-B.4 from Wuhan (name starting with 412981) has the least genetic similarity of about 95.5% in the spike region of the genome as compared to the query sequence of Omicron XBB.2.3.2 from Taiyuan (name starting with 18495234), followed by the Omicron FR.1.4 from Taiyuan (name starting with 18495199) with ~97.2% similarity and Omicron DY.3 (name starting with 17485740) with ~97.9% similarity. The rest of the variants showed ≥98% similarity with the query sequence of Omicron XBB.2.3.2 from Taiyuan (name starting with 18495234). In addition, our recombination analysis results show that the SARS-CoV-2 variants have three statistically significant recombinant events which could have possibly resulted in the emergence of Omicron XBB.1.16 (recombination event 3), FY.3 (recombination event 5), and FL.2.4 (recombination event 7), suggesting some very important information regarding viral evolution. Also, our phylogenetic tree and network analyses show that there are a total of 14 clusters and more than 10,000 mutations which may have probably resulted in the emergence of cluster-I, followed by 47 mutations resulting in the emergence of cluster-II and so on. The clustering of the viral variants of both cities reveals significant information regarding the phylodynamics of the virus among them. The results of our temporal phylogenetic analysis suggest that the variants of Taiyuan have likely emerged as independent variants separate from the variants of Wuhan. This study, to the best of our knowledge, is the first ever genetic comparative study between Taiyuan and Wuhan cities in China. This study will help us better understand the virus and cope with the emergence and spread of new variants at a local as well as an international level, and keep the public health authorities informed for them to make better decisions in designing new viral vaccines and therapeutics. It will also help the outbreak investigators to better examine any future outbreak.
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Affiliation(s)
- Behzad Hussain
- Institutes of Biomedical Sciences, Shanxi University, 92 Wucheng Road, Taiyuan 030006, China;
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Shanxi University, 92 Wucheng Road, Taiyuan 030006, China
| | - Changxin Wu
- Institutes of Biomedical Sciences, Shanxi University, 92 Wucheng Road, Taiyuan 030006, China;
- Shanxi Provincial Key Laboratory of Medical Molecular Cell Biology, Shanxi University, 92 Wucheng Road, Taiyuan 030006, China
- The Key Laboratory of Chemical Biology and Molecular Engineering of National Ministry of Education, Shanxi University, 92 Wucheng Road, Taiyuan 030006, China
- Shanxi Provincial Key Laboratory for Major Infectious Disease Response, Taiyuan 030006, China
- The Fourth People’s Hospital of Taiyuan, Taiyuan 030006, China
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Maio N, Heffner AL, Rouault TA. Iron‑sulfur clusters in viral proteins: Exploring their elusive nature, roles and new avenues for targeting infections. BIOCHIMICA ET BIOPHYSICA ACTA. MOLECULAR CELL RESEARCH 2024; 1871:119723. [PMID: 38599324 PMCID: PMC11139609 DOI: 10.1016/j.bbamcr.2024.119723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/13/2024] [Accepted: 04/01/2024] [Indexed: 04/12/2024]
Abstract
Viruses have evolved complex mechanisms to exploit host factors for replication and assembly. In response, host cells have developed strategies to block viruses, engaging in a continuous co-evolutionary battle. This dynamic interaction often revolves around the competition for essential resources necessary for both host cell and virus replication. Notably, iron, required for the biosynthesis of several cofactors, including iron‑sulfur (FeS) clusters, represents a critical element in the ongoing competition for resources between infectious agents and host. Although several recent studies have identified FeS cofactors at the core of virus replication machineries, our understanding of their specific roles and the cellular processes responsible for their incorporation into viral proteins remains limited. This review aims to consolidate our current knowledge of viral components that have been characterized as FeS proteins and elucidate how viruses harness these versatile cofactors to their benefit. Its objective is also to propose that viruses may depend on incorporation of FeS cofactors more extensively than is currently known. This has the potential to revolutionize our understanding of viral replication, thereby carrying significant implications for the development of strategies to target infections.
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Affiliation(s)
- Nunziata Maio
- Molecular Medicine Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20892, USA.
| | - Audrey L Heffner
- Molecular Medicine Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20892, USA; Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Tracey A Rouault
- Molecular Medicine Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20892, USA
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Gao X, Bian T, Gao P, Ge X, Zhang Y, Han J, Guo X, Zhou L, Yang H. Fidelity Characterization of Highly Pathogenic Porcine Reproductive and Respiratory Syndrome Virus and NADC30-like Strain. Viruses 2024; 16:797. [PMID: 38793678 PMCID: PMC11125636 DOI: 10.3390/v16050797] [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: 04/23/2024] [Revised: 05/13/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024] Open
Abstract
The porcine reproductive and respiratory syndrome virus (PRRSV) has significantly impacted the global pork industry for over three decades. Its high mutation rates and frequent recombination greatly intensifies its epidemic and threat. To explore the fidelity characterization of Chinese highly pathogenic PRRSV JXwn06 and the NADC30-like strain CHsx1401, self-recombination and mutation in PAMs, MARC-145 cells, and pigs were assessed. In vitro, CHsx1401 displayed a higher frequency of recombination junctions and a greater diversity of junction types than JXwn06. In vivo, CHsx1401 exhibited fewer junction types yet maintained a higher junction frequency. Notably, JXwn06 showed more accumulation of mutations. To pinpoint the genomic regions influencing their fidelity, chimeric viruses were constructed, with the exchanged nsp9-10 regions between JXwn06 and CHsx1401. The SJn9n10 strain, which incorporates JXwn06's nsp9-10 into the CHsx1401 genome, demonstrated reduced sensitivity to nucleotide analogs compared to CHsx1401. Conversely, compared with JXwn06, the JSn9n10 strain showed increased sensitivity to these inhibitors. The swapped nsp9-10 also influences the junction frequency and accumulated mutations as their donor strains. The results indicate a propensity for different types of genetic variations between these two strains and further highlight the nsp9-10 region as a critical determinant of their fidelity.
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Affiliation(s)
- Xiang Gao
- National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China; (X.G.)
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China
| | - Ting Bian
- National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China; (X.G.)
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China
| | - Peng Gao
- National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China; (X.G.)
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China
| | - Xinna Ge
- National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China; (X.G.)
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China
| | - Yongning Zhang
- National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China; (X.G.)
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China
| | - Jun Han
- National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China; (X.G.)
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China
| | - Xin Guo
- National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China; (X.G.)
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China
| | - Lei Zhou
- National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China; (X.G.)
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China
| | - Hanchun Yang
- National Key Laboratory of Veterinary Public Health Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China; (X.G.)
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing 100094, China
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7
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Brennan JW, Sun Y. Defective viral genomes: advances in understanding their generation, function, and impact on infection outcomes. mBio 2024; 15:e0069224. [PMID: 38567955 PMCID: PMC11077978 DOI: 10.1128/mbio.00692-24] [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] [Indexed: 05/09/2024] Open
Abstract
Defective viral genomes (DVGs) are truncated derivatives of their parental viral genomes generated during an aberrant round of viral genomic replication. Distinct classes of DVGs have been identified in most families of both positive- and negative-sense RNA viruses. Importantly, DVGs have been detected in clinical samples from virally infected individuals and an emerging body of association studies implicates DVGs in shaping the severity of disease caused by viral infections in humans. Consequently, there is growing interest in understanding the molecular mechanisms of de novo DVG generation, how DVGs interact with the innate immune system, and harnessing DVGs as novel therapeutics and vaccine adjuvants to attenuate viral pathogenesis. This minireview focuses on single-stranded RNA viruses (excluding retroviridae), and summarizes the current knowledge of DVG generation, the functions and diversity of DVG species, the roles DVGs play in influencing disease progression, and their application as antivirals and vaccine adjuvants.
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Affiliation(s)
- Justin W. Brennan
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, USA
| | - Yan Sun
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, USA
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8
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Bradley CC, Wang C, Gordon AJE, Wen AX, Luna PN, Cooke MB, Kohrn BF, Kennedy SR, Avadhanula V, Piedra PA, Lichtarge O, Shaw CA, Ronca SE, Herman C. Targeted accurate RNA consensus sequencing (tARC-seq) reveals mechanisms of replication error affecting SARS-CoV-2 divergence. Nat Microbiol 2024; 9:1382-1392. [PMID: 38649410 DOI: 10.1038/s41564-024-01655-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/28/2024] [Indexed: 04/25/2024]
Abstract
RNA viruses, like SARS-CoV-2, depend on their RNA-dependent RNA polymerases (RdRp) for replication, which is error prone. Monitoring replication errors is crucial for understanding the virus's evolution. Current methods lack the precision to detect rare de novo RNA mutations, particularly in low-input samples such as those from patients. Here we introduce a targeted accurate RNA consensus sequencing method (tARC-seq) to accurately determine the mutation frequency and types in SARS-CoV-2, both in cell culture and clinical samples. Our findings show an average of 2.68 × 10-5 de novo errors per cycle with a C > T bias that cannot be solely attributed to APOBEC editing. We identified hotspots and cold spots throughout the genome, correlating with high or low GC content, and pinpointed transcription regulatory sites as regions more susceptible to errors. tARC-seq captured template switching events including insertions, deletions and complex mutations. These insights shed light on the genetic diversity generation and evolutionary dynamics of SARS-CoV-2.
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Affiliation(s)
- Catherine C Bradley
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Baylor College of Medicine Medical Scientist Training Program, Houston, TX, USA
- Robert and Janice McNair Foundation/ McNair Medical Institute M.D./Ph.D. Scholars program, Houston, TX, USA
| | - Chen Wang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Alasdair J E Gordon
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Alice X Wen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Baylor College of Medicine Medical Scientist Training Program, Houston, TX, USA
- Robert and Janice McNair Foundation/ McNair Medical Institute M.D./Ph.D. Scholars program, Houston, TX, USA
| | - Pamela N Luna
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Matthew B Cooke
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Brendan F Kohrn
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Scott R Kennedy
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Vasanthi Avadhanula
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Pedro A Piedra
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Olivier Lichtarge
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Chad A Shaw
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Shannon E Ronca
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
- Feigin Biosafety Level 3 Facility, Texas Children's Hospital, Houston, TX, USA
- National School of Tropical Medicine, Department of Pediatrics Tropical Medicine, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA
| | - Christophe Herman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA.
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9
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Hillung J, Olmo-Uceda MJ, Muñoz-Sánchez JC, Elena SF. Accumulation Dynamics of Defective Genomes during Experimental Evolution of Two Betacoronaviruses. Viruses 2024; 16:644. [PMID: 38675984 PMCID: PMC11053736 DOI: 10.3390/v16040644] [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: 03/21/2024] [Revised: 04/18/2024] [Accepted: 04/19/2024] [Indexed: 04/28/2024] Open
Abstract
Virus-encoded replicases often generate aberrant RNA genomes, known as defective viral genomes (DVGs). When co-infected with a helper virus providing necessary proteins, DVGs can multiply and spread. While DVGs depend on the helper virus for propagation, they can in some cases disrupt infectious virus replication, impact immune responses, and affect viral persistence or evolution. Understanding the dynamics of DVGs alongside standard viral genomes during infection remains unclear. To address this, we conducted a long-term experimental evolution of two betacoronaviruses, the human coronavirus OC43 (HCoV-OC43) and the murine hepatitis virus (MHV), in cell culture at both high and low multiplicities of infection (MOI). We then performed RNA-seq at regular time intervals, reconstructed DVGs, and analyzed their accumulation dynamics. Our findings indicate that DVGs evolved to exhibit greater diversity and abundance, with deletions and insertions being the most common types. Notably, some high MOI deletions showed very limited temporary existence, while others became prevalent over time. We observed differences in DVG abundance between high and low MOI conditions in HCoV-OC43 samples. The size distribution of HCoV-OC43 genomes with deletions differed between high and low MOI passages. In low MOI lineages, short and long DVGs were the most common, with an additional cluster in high MOI lineages which became more prevalent along evolutionary time. MHV also showed variations in DVG size distribution at different MOI conditions, though they were less pronounced compared to HCoV-OC43, suggesting a more random distribution of DVG sizes. We identified hotspot regions for deletions that evolved at a high MOI, primarily within cistrons encoding structural and accessory proteins. In conclusion, our study illustrates the widespread formation of DVGs during betacoronavirus evolution, influenced by MOI and cell- and virus-specific factors.
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Affiliation(s)
- Julia Hillung
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-UV, Catedrático Agustín Escardino Benlloch 9, 46980 Paterna, Valencia, Spain; (J.H.); (M.J.O.-U.); (J.C.M.-S.)
| | - María J. Olmo-Uceda
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-UV, Catedrático Agustín Escardino Benlloch 9, 46980 Paterna, Valencia, Spain; (J.H.); (M.J.O.-U.); (J.C.M.-S.)
| | - Juan C. Muñoz-Sánchez
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-UV, Catedrático Agustín Escardino Benlloch 9, 46980 Paterna, Valencia, Spain; (J.H.); (M.J.O.-U.); (J.C.M.-S.)
| | - Santiago F. Elena
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-UV, Catedrático Agustín Escardino Benlloch 9, 46980 Paterna, Valencia, Spain; (J.H.); (M.J.O.-U.); (J.C.M.-S.)
- Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
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10
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Steiner S, Kratzel A, Barut GT, Lang RM, Aguiar Moreira E, Thomann L, Kelly JN, Thiel V. SARS-CoV-2 biology and host interactions. Nat Rev Microbiol 2024; 22:206-225. [PMID: 38225365 DOI: 10.1038/s41579-023-01003-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/01/2023] [Indexed: 01/17/2024]
Abstract
The zoonotic emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the ensuing coronavirus disease 2019 (COVID-19) pandemic have profoundly affected our society. The rapid spread and continuous evolution of new SARS-CoV-2 variants continue to threaten global public health. Recent scientific advances have dissected many of the molecular and cellular mechanisms involved in coronavirus infections, and large-scale screens have uncovered novel host-cell factors that are vitally important for the virus life cycle. In this Review, we provide an updated summary of the SARS-CoV-2 life cycle, gene function and virus-host interactions, including recent landmark findings on general aspects of coronavirus biology and newly discovered host factors necessary for virus replication.
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Affiliation(s)
- Silvio Steiner
- Institute of Virology and Immunology, Bern and Mittelhäusern, Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Annika Kratzel
- Institute of Virology and Immunology, Bern and Mittelhäusern, Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - G Tuba Barut
- Institute of Virology and Immunology, Bern and Mittelhäusern, Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Reto M Lang
- Institute of Virology and Immunology, Bern and Mittelhäusern, Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
| | - Etori Aguiar Moreira
- Institute of Virology and Immunology, Bern and Mittelhäusern, Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Lisa Thomann
- Institute of Virology and Immunology, Bern and Mittelhäusern, Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Jenna N Kelly
- Institute of Virology and Immunology, Bern and Mittelhäusern, Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
- Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland
- European Virus Bioinformatics Center, Jena, Germany
| | - Volker Thiel
- Institute of Virology and Immunology, Bern and Mittelhäusern, Bern, Switzerland.
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
- Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland.
- European Virus Bioinformatics Center, Jena, Germany.
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11
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Guo J, Lai Y, Yang Z, Song W, Zhou J, Li Z, Su W, Xiao S, Fang L. Coinfection and Nonrandom Recombination Drive the Evolution of Swine Enteric Coronaviruses. Emerg Microbes Infect 2024:2332653. [PMID: 38517703 DOI: 10.1080/22221751.2024.2332653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2024]
Abstract
Coinfection with multiple viruses is a common phenomenon in clinical settings and is a crucial driver of viral evolution. Although numerous studies have demonstrated viral recombination arising from coinfections of different strains of a specific species, the role of coinfections of different species or genera during viral evolution is rarely investigated. Here, we analyzed coinfections of and recombination events between four different swine enteric coronaviruses that infect the jejunum and ileum in pigs, including porcine epidemic diarrhea virus (PEDV), transmissible gastroenteritis virus (TGEV), and swine acute diarrhea syndrome coronavirus (SADS-CoV), and a deltacoronavirus, porcine deltacoronavirus (PDCoV). Various coinfection patterns were observed in 4,468 fecal and intestinal tissue samples collected from pigs in a 4-year survey. PEDV/PDCoV was the most frequent coinfection. However, recombination analyses have only detected events involving PEDV/TGEV and SADS-CoV/TGEV, indicating that inter-species recombination among coronaviruses is most likely to occur within the same genus. We also analyzed recombination events within the newly identified genus Deltacoronavirus and found that sparrows have played a unique host role in the recombination history of the deltacoronaviruses. The emerging virus PDCoV, which can infect humans, has a different recombination history. In summary, our study demonstrates that swine enteric coronaviruses are a valuable model for investigating the relationship between viral coinfection and recombination, which provide new insights into both inter- and intraspecies recombination events among swine enteric coronaviruses, and extend our understanding of the relationship between coronavirus coinfection and recombination.
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Affiliation(s)
- Jiahui Guo
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University. Wuhan, Hubei, 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China
| | - Yinan Lai
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University. Wuhan, Hubei, 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China
| | - Zhixiang Yang
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University. Wuhan, Hubei, 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China
| | - Wenbo Song
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University. Wuhan, Hubei, 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China
| | - Junwei Zhou
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University. Wuhan, Hubei, 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China
| | - Zhuang Li
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University. Wuhan, Hubei, 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China
| | - Wen Su
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University. Wuhan, Hubei, 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China
- Hubei Hongshan Laboratory, Huazhong Agricultural University. Wuhan, Hubei, 430070, China
| | - Shaobo Xiao
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University. Wuhan, Hubei, 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China
| | - Liurong Fang
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University. Wuhan, Hubei, 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, Hubei, 430070, China
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12
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Delgado S, Somovilla P, Ferrer-Orta C, Martínez-González B, Vázquez-Monteagudo S, Muñoz-Flores J, Soria ME, García-Crespo C, de Ávila AI, Durán-Pastor A, Gadea I, López-Galíndez C, Moran F, Lorenzo-Redondo R, Verdaguer N, Perales C, Domingo E. Incipient functional SARS-CoV-2 diversification identified through neural network haplotype maps. Proc Natl Acad Sci U S A 2024; 121:e2317851121. [PMID: 38416684 DOI: 10.1073/pnas.2317851121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 01/08/2024] [Indexed: 03/01/2024] Open
Abstract
Since its introduction in the human population, SARS-CoV-2 has evolved into multiple clades, but the events in its intrahost diversification are not well understood. Here, we compare three-dimensional (3D) self-organized neural haplotype maps (SOMs) of SARS-CoV-2 from thirty individual nasopharyngeal diagnostic samples obtained within a 19-day interval in Madrid (Spain), at the time of transition between clades 19 and 20. SOMs have been trained with the haplotype repertoire present in the mutant spectra of the nsp12- and spike (S)-coding regions. Each SOM consisted of a dominant neuron (displaying the maximum frequency), surrounded by a low-frequency neuron cloud. The sequence of the master (dominant) neuron was either identical to that of the reference Wuhan-Hu-1 genome or differed from it at one nucleotide position. Six different deviant haplotype sequences were identified among the master neurons. Some of the substitutions in the neural clouds affected critical sites of the nsp12-nsp8-nsp7 polymerase complex and resulted in altered kinetics of RNA synthesis in an in vitro primer extension assay. Thus, the analysis has identified mutations that are relevant to modification of viral RNA synthesis, present in the mutant clouds of SARS-CoV-2 quasispecies. These mutations most likely occurred during intrahost diversification in several COVID-19 patients, during an initial stage of the pandemic, and within a brief time period.
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Affiliation(s)
- Soledad Delgado
- Departamento de Sistemas Informáticos, Escuela Técnica Superior de Ingeniería de Sistemas Informáticos, Universidad Politécnica de Madrid, Madrid 28031, Spain
| | - Pilar Somovilla
- Microbes in Health and Welfare Program, Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Consejo Superior de Investigaciones Científicas, Madrid 28049, Spain
- Departamento de Biología Molecular, Universidad Autónoma de Madrid, Madrid 28049, Spain
| | - Cristina Ferrer-Orta
- Structural and Molecular Biology Department, Institut de Biología Molecular de Barcelona, Consejo Superior de Investigaciones Científicas, Barcelona 08028, Spain
| | - Brenda Martínez-González
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas, Madrid 28049, Spain
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid, Madrid 28040, Spain
| | - Sergi Vázquez-Monteagudo
- Structural and Molecular Biology Department, Institut de Biología Molecular de Barcelona, Consejo Superior de Investigaciones Científicas, Barcelona 08028, Spain
| | | | - María Eugenia Soria
- Microbes in Health and Welfare Program, Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Consejo Superior de Investigaciones Científicas, Madrid 28049, Spain
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid, Madrid 28040, Spain
| | - Carlos García-Crespo
- Microbes in Health and Welfare Program, Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Consejo Superior de Investigaciones Científicas, Madrid 28049, Spain
| | - Ana Isabel de Ávila
- Microbes in Health and Welfare Program, Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Consejo Superior de Investigaciones Científicas, Madrid 28049, Spain
| | - Antoni Durán-Pastor
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas, Madrid 28049, Spain
| | - Ignacio Gadea
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid, Madrid 28040, Spain
| | - Cecilio López-Galíndez
- Unidad de Virología Molecular, Laboratorio de Referencia e Investigación en retrovirus, Centro Nacional de Microbiología, Instituto de salud Carlos III, Majadahonda 28222, Spain
| | - Federico Moran
- Departamento de Bioquímica y Biología Molecular, Universidad Complutense de Madrid, Madrid 28040, Spain
| | - Ramon Lorenzo-Redondo
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL 60611
| | - Nuria Verdaguer
- Structural and Molecular Biology Department, Institut de Biología Molecular de Barcelona, Consejo Superior de Investigaciones Científicas, Barcelona 08028, Spain
| | - Celia Perales
- Department of Molecular and Cell Biology, Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas, Madrid 28049, Spain
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid, Madrid 28040, Spain
| | - Esteban Domingo
- Microbes in Health and Welfare Program, Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Consejo Superior de Investigaciones Científicas, Madrid 28049, Spain
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13
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Tillis SB, Ossiboff RJ, Wellehan JFX. Serpentoviruses Exhibit Diverse Organization and ORF Composition with Evidence of Recombination. Viruses 2024; 16:310. [PMID: 38400085 PMCID: PMC10892116 DOI: 10.3390/v16020310] [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: 01/16/2024] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 02/25/2024] Open
Abstract
Serpentoviruses are a subfamily of positive sense RNA viruses in the order Nidovirales, family Tobaniviridae, associated with respiratory disease in multiple clades of reptiles. While the broadest viral diversity is reported from captive pythons, other reptiles, including colubrid snakes, turtles, and lizards of captive and free-ranging origin are also known hosts. To better define serpentoviral diversity, eleven novel serpentovirus genomes were sequenced with an Illumina MiSeq and, when necessary, completed with other Sanger sequencing methods. The novel serpentoviral genomes, along with 57 other previously published serpentovirus genomes, were analyzed alongside four outgroup genomes. Genomic analyses included identifying unique genome templates for each serpentovirus clade, as well as analysis of coded protein composition, potential protein function, protein glycosylation sites, differences in phylogenetic history between open-reading frames, and recombination. Serpentoviral genomes contained diverse protein compositions. In addition to the fundamental structural spike, matrix, and nucleoprotein proteins required for virion formation, serpentovirus genomes also included 20 previously uncharacterized proteins. The uncharacterized proteins were homologous to a number of previously characterized proteins, including enzymes, transcription factors, scaffolding, viral resistance, and apoptosis-related proteins. Evidence for recombination was detected in multiple instances in genomes from both captive and free-ranging snakes. These results show serpentovirus as a diverse clade of viruses with genomes that code for a wide diversity of proteins potentially enhanced by recombination events.
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Affiliation(s)
- Steven B. Tillis
- Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL 32608, USA; (R.J.O.); (J.F.X.W.J.)
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14
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Ponpinit T, Joyjinda Y, Ampoot W, Yomrat S, Virojanapirom P, Ruchisrisarod C, Saraya AW, Hemachudha P, Hemachudha T. Spike S2 Subunit: Possible Target for Detecting Novel SARS-CoV-2 Variants with Multiple Mutations. Trop Med Infect Dis 2024; 9:50. [PMID: 38393139 PMCID: PMC10893286 DOI: 10.3390/tropicalmed9020050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/09/2024] [Accepted: 02/12/2024] [Indexed: 02/25/2024] Open
Abstract
Novel SARS-CoV-2 variants have multiple mutations that may impact molecular diagnostics. The markedly conserved S2 subunit may be utilized to detect new variants. A comparison of 694 specimens (2019-2022) in Thailand using a commercial RT-PCR kit and the kit in combination with S2 primers and a probe was performed. Delayed amplification in ORF1ab was detected in one BA.4 omicron, whereas no amplification problem was encountered in the S2 target. There were no statistically significant differences in mean Ct value between the target genes (E, N, ORF1ab, and S2) and no significant differences in mean Ct value between the reagents. Furthermore, 230,821 nucleotide sequences submitted by 20 representative counties in each region (Jan-Oct 2022) have been checked for mutations in S2 primers and probe using PrimerChecker; there is a very low chance of encountering performance problems. The S2 primers and probe are still bound to the top five currently circulating variants in all countries and Thailand without mismatch recognition (Jun-Nov 2023). This study shows the possible benefits of detecting S2 in combination with simultaneously detecting three genes in a kit without affecting the Ct value of each target. The S2 subunit may be a promising target for the detection of SARS-CoV-2 variants with multiple mutations.
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Affiliation(s)
- Teerada Ponpinit
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand; (Y.J.); (W.A.); (S.Y.); (P.V.); (C.R.); (A.W.S.); (P.H.)
| | - Yutthana Joyjinda
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand; (Y.J.); (W.A.); (S.Y.); (P.V.); (C.R.); (A.W.S.); (P.H.)
| | - Weenassarin Ampoot
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand; (Y.J.); (W.A.); (S.Y.); (P.V.); (C.R.); (A.W.S.); (P.H.)
| | - Siriporn Yomrat
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand; (Y.J.); (W.A.); (S.Y.); (P.V.); (C.R.); (A.W.S.); (P.H.)
| | - Phatthamon Virojanapirom
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand; (Y.J.); (W.A.); (S.Y.); (P.V.); (C.R.); (A.W.S.); (P.H.)
| | - Chanida Ruchisrisarod
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand; (Y.J.); (W.A.); (S.Y.); (P.V.); (C.R.); (A.W.S.); (P.H.)
| | - Abhinbhen W. Saraya
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand; (Y.J.); (W.A.); (S.Y.); (P.V.); (C.R.); (A.W.S.); (P.H.)
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Pasin Hemachudha
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand; (Y.J.); (W.A.); (S.Y.); (P.V.); (C.R.); (A.W.S.); (P.H.)
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Thiravat Hemachudha
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand; (Y.J.); (W.A.); (S.Y.); (P.V.); (C.R.); (A.W.S.); (P.H.)
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
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15
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Jeronimo PMC, Aksenen CF, Duarte IO, Lins RD, Miyajima F. Evolutionary deletions within the SARS-CoV-2 genome as signature trends for virus fitness and adaptation. J Virol 2024; 98:e0140423. [PMID: 38088350 PMCID: PMC10804945 DOI: 10.1128/jvi.01404-23] [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: 01/24/2024] Open
Abstract
Coronaviruses are large RNA viruses that can infect and spread among humans and animals. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), responsible for coronavirus disease 2019, has evolved since its first detection in December 2019. Deletions are a common occurrence in SARS-CoV-2 evolution, particularly in specific genomic sites, and may be associated with the emergence of highly competent lineages. While deletions typically have a negative impact on viral fitness, some persist and become fixed in viral populations, indicating that they may confer advantageous benefits for the virus's adaptive evolution. This work presents a literature review and data analysis on structural losses in the SARS-CoV-2 genome and the potential relevance of specific signatures for enhanced viral fitness and spread.
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Affiliation(s)
| | - Cleber Furtado Aksenen
- Fiocruz Genomic Network, Oswaldo Cruz Foundation (FIOCRUZ), branch Ceara, Eusebio, Brazil
| | - Igor Oliveira Duarte
- Fiocruz Genomic Network, Oswaldo Cruz Foundation (FIOCRUZ), branch Ceara, Eusebio, Brazil
| | - Roberto D. Lins
- Fiocruz Genomic Network, Oswaldo Cruz Foundation (FIOCRUZ), branch Pernambuco, Recife, Brazil
| | - Fabio Miyajima
- Fiocruz Genomic Network, Oswaldo Cruz Foundation (FIOCRUZ), branch Ceara, Eusebio, Brazil
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16
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Formentin M, Chignola R, Favretti M. Optimal entropic properties of SARS-CoV-2 RNA sequences. ROYAL SOCIETY OPEN SCIENCE 2024; 11:231369. [PMID: 38298394 PMCID: PMC10827432 DOI: 10.1098/rsos.231369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 01/02/2024] [Indexed: 02/02/2024]
Abstract
The reaction of the scientific community against the COVID-19 pandemic has generated a huge (approx. 106 entries) dataset of genome sequences collected worldwide and spanning a relatively short time window. These unprecedented conditions together with the certain identification of the reference viral genome sequence allow for an original statistical study of mutations in the virus genome. In this paper, we compute the Shannon entropy of every sequence in the dataset as well as the relative entropy and the mutual information between the reference sequence and the mutated ones. These functions, originally developed in information theory, measure the information content of a sequence and allows us to study the random character of mutation mechanism in terms of its entropy and information gain or loss. We show that this approach allows us to set in new format known features of the SARS-CoV-2 mutation mechanism like the CT bias, but also to discover new optimal entropic properties of the mutation process in the sense that the virus mutation mechanism track closely theoretically computable lower bounds for the entropy decrease and the information transfer.
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Affiliation(s)
- Marco Formentin
- Department of Mathematics Tullio Levi-Civita, University of Padova, via Trieste 63 35131 Padova, Italy
| | - Roberto Chignola
- Department of Biotechnology, University of Verona, Strada le Grazie 15-CV1, 37134 Verona, Italy
| | - Marco Favretti
- Department of Mathematics Tullio Levi-Civita, University of Padova, via Trieste 63 35131 Padova, Italy
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17
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Yao W, Li Y, Ma D, Hou X, Wang H, Tang X, Cheng D, Zhang H, Du C, Pan H, Li C, Lin H, Sun M, Ding Q, Wang Y, Gao J, Zhong G. Evolution of SARS-CoV-2 Spikes shapes their binding affinities to animal ACE2 orthologs. Microbiol Spectr 2023; 11:e0267623. [PMID: 37943512 PMCID: PMC10715038 DOI: 10.1128/spectrum.02676-23] [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: 07/10/2023] [Accepted: 10/08/2023] [Indexed: 11/10/2023] Open
Abstract
IMPORTANCE Spike-receptor interaction is a critical determinant for the host range of coronaviruses. In this study, we investigated the SARS-CoV-2 WHU01 strain and five WHO-designated SARS-CoV-2 variants of concern (VOCs), including Alpha, Beta, Gamma, Delta, and the early Omicron variant, for their Spike interactions with ACE2 proteins of 18 animal species. First, the receptor-binding domains (RBDs) of Alpha, Beta, Gamma, and Omicron were found to display progressive gain of affinity to mouse ACE2. More interestingly, these RBDs were also found with progressive loss of affinities to multiple ACE2 orthologs. The Omicron RBD showed decreased or complete loss of affinity to eight tested animal ACE2 orthologs, including that of some livestock animals (horse, donkey, and pig), pet animals (dog and cat), and wild animals (pangolin, American pika, and Rhinolophus sinicus bat). These findings shed light on potential host range shift of SARS-CoV-2 VOCs, especially that of the Omicron variant.
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Affiliation(s)
- Weitong Yao
- School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
- Shenzhen Bay Laboratory, Shenzhen, China
- Hubei JiangXia Laboratory, Wuhan, Hubei, China
| | - Yujun Li
- Shenzhen Bay Laboratory, Shenzhen, China
| | - Danting Ma
- Shenzhen Bay Laboratory, Shenzhen, China
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Xudong Hou
- School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
- Shenzhen Bay Laboratory, Shenzhen, China
| | - Haimin Wang
- Horae Gene Therapy Center, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Xiaojuan Tang
- School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
- Shenzhen Bay Laboratory, Shenzhen, China
| | - Dechun Cheng
- Shenzhen Bay Laboratory, Shenzhen, China
- Heilongjiang Academy of Medical Sciences, Harbin, China
| | - He Zhang
- School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
- Shenzhen Bay Laboratory, Shenzhen, China
| | - Chengzhi Du
- School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
- Shenzhen Bay Laboratory, Shenzhen, China
| | - Hong Pan
- School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
- Shenzhen Bay Laboratory, Shenzhen, China
| | - Chao Li
- Shenzhen Bay Laboratory, Shenzhen, China
| | - Hua Lin
- Biomedical Research Center of South China, Fujian Normal University, Fuzhou, China
| | - Mengsi Sun
- Shenzhen Bay Laboratory, Shenzhen, China
| | - Qiang Ding
- Center for Infectious Disease Research, School of Medicine, Tsinghua University, Beijing, China
| | | | - Jiali Gao
- School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
- Shenzhen Bay Laboratory, Shenzhen, China
- Department of Chemistry and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota, USA
| | - Guocai Zhong
- School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
- Shenzhen Bay Laboratory, Shenzhen, China
- Horae Gene Therapy Center, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
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18
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Tang CY, Li T, Haynes TA, McElroy JA, Ritter D, Hammer RD, Sampson C, Webby R, Hang J, Wan XF. Rural populations facilitated early SARS-CoV-2 evolution and transmission in Missouri, USA. NPJ VIRUSES 2023; 1:7. [PMID: 38186942 PMCID: PMC10769004 DOI: 10.1038/s44298-023-00005-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/20/2023] [Indexed: 01/09/2024]
Abstract
In the United States, rural populations comprise 60 million individuals and suffered from high COVID-19 disease burdens. Despite this, surveillance efforts are biased toward urban centers. Consequently, how rurally circulating SARS-CoV-2 viruses contribute toward emerging variants remains poorly understood. In this study, we aim to investigate the role of rural communities in the evolution and transmission of SARS-CoV-2 during the early pandemic. We collected 544 urban and 435 rural COVID-19-positive respiratory specimens from an overall vaccine-naïve population in Southwest Missouri between July and December 2020. Genomic analyses revealed 53 SARS-CoV-2 Pango lineages in our study samples, with 14 of these lineages identified only in rural samples. Phylodynamic analyses showed that frequent bi-directional diffusions occurred between rural and urban communities in Southwest Missouri, and that four out of seven Missouri rural-origin lineages spread globally. Further analyses revealed that the nucleocapsid protein (N):R203K/G204R paired substitutions, which were detected disproportionately across multiple Pango lineages, were more associated with urban than rural sequences. Positive selection was detected at N:204 among rural samples but was not evident in urban samples, suggesting that viruses may encounter distinct selection pressures in rural versus urban communities. This study demonstrates that rural communities may be a crucial source of SARS-CoV-2 evolution and transmission, highlighting the need to expand surveillance and resources to rural populations for COVID-19 mitigation.
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Affiliation(s)
- Cynthia Y. Tang
- Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, MO, USA
- Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
- These authors contributed equally: Cynthia Y. Tang, Tao Li
| | - Tao Li
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
- These authors contributed equally: Cynthia Y. Tang, Tao Li
| | - Tricia A. Haynes
- Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, MO, USA
- Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Jane A. McElroy
- Family and Community Medicine, University of Missouriś, Columbia, MO, USA
| | - Detlef Ritter
- Anatomic Pathology & Clinical Pathology, University of Missouri, Columbia, MO, USA
| | - Richard D. Hammer
- Anatomic Pathology & Clinical Pathology, University of Missouri, Columbia, MO, USA
| | | | - Richard Webby
- Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Jun Hang
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Xiu-Feng Wan
- Center for Influenza and Emerging Infectious Diseases, University of Missouri, Columbia, MO, USA
- Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
- Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA
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19
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de Vries M, Ciabattoni GO, Rodriguez-Rodriguez BA, Crosse KM, Papandrea D, Samanovic MI, Dimartino D, Marier C, Mulligan MJ, Heguy A, Desvignes L, Duerr R, Dittmann M. Generation of quality-controlled SARS-CoV-2 variant stocks. Nat Protoc 2023; 18:3821-3855. [PMID: 37833423 DOI: 10.1038/s41596-023-00897-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 07/28/2023] [Indexed: 10/15/2023]
Abstract
One of the main challenges in the fight against coronavirus disease 2019 (COVID-19) stems from the ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into multiple variants. To address this hurdle, research groups around the world have independently developed protocols to isolate these variants from clinical samples. These isolates are then used in translational and basic research-for example, in vaccine development, drug screening or characterizing SARS-CoV-2 biology and pathogenesis. However, over the course of the COVID-19 pandemic, we have learned that the introduction of artefacts during both in vitro isolation and subsequent propagation to virus stocks can lessen the validity and reproducibility of data. We propose a rigorous pipeline for the generation of high-quality SARS-CoV-2 variant clonal isolates that minimizes the acquisition of mutations and introduces stringent controls to detect them. Overall, the process includes eight stages: (i) cell maintenance, (ii) isolation of SARS-CoV-2 from clinical specimens, (iii) determination of infectious virus titers by plaque assay, (iv) clonal isolation by plaque purification, (v) whole-virus-genome deep-sequencing, (vi and vii) amplification of selected virus clones to master and working stocks and (viii) sucrose purification. This comprehensive protocol will enable researchers to generate reliable SARS-CoV-2 variant inoculates for in vitro and in vivo experimentation and will facilitate comparisons and collaborative work. Quality-controlled working stocks for most applications can be generated from acquired biorepository virus within 1 month. An additional 5-8 d are required when virus is isolated from clinical swab material, and another 6-7 d is needed for sucrose-purifying the stocks.
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Affiliation(s)
- Maren de Vries
- Department of Microbiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Grace O Ciabattoni
- Department of Microbiology, NYU Grossman School of Medicine, New York, NY, USA
| | | | - Keaton M Crosse
- Department of Microbiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Dominick Papandrea
- High Containment Laboratories-Office of Science and Research, NYU Langone Health, New York, NY, USA
| | - Marie I Samanovic
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
- NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, NY, USA
| | - Dacia Dimartino
- Genome Technology Center, Office of Science and Research, NYU Langone Health, New York, NY, USA
| | - Christian Marier
- Genome Technology Center, Office of Science and Research, NYU Langone Health, New York, NY, USA
| | - Mark J Mulligan
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
- NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, NY, USA
| | - Adriana Heguy
- Genome Technology Center, Office of Science and Research, NYU Langone Health, New York, NY, USA
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
| | - Ludovic Desvignes
- High Containment Laboratories-Office of Science and Research, NYU Langone Health, New York, NY, USA
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Ralf Duerr
- Department of Microbiology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
- NYU Langone Vaccine Center, NYU Grossman School of Medicine, New York, NY, USA
| | - Meike Dittmann
- Department of Microbiology, NYU Grossman School of Medicine, New York, NY, USA.
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20
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Terbot JW, Cooper BS, Good JM, Jensen JD. A Simulation Framework for Modeling the Within-Patient Evolutionary Dynamics of SARS-CoV-2. Genome Biol Evol 2023; 15:evad204. [PMID: 37950882 PMCID: PMC10664409 DOI: 10.1093/gbe/evad204] [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: 07/14/2023] [Revised: 10/31/2023] [Accepted: 11/07/2023] [Indexed: 11/13/2023] Open
Abstract
The global impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to considerable interest in detecting novel beneficial mutations and other genomic changes that may signal the development of variants of concern (VOCs). The ability to accurately detect these changes within individual patient samples is important in enabling early detection of VOCs. Such genomic scans for rarely acting positive selection are best performed via comparison of empirical data with simulated data wherein commonly acting evolutionary factors, including mutation and recombination, reproductive and infection dynamics, and purifying and background selection, can be carefully accounted for and parameterized. Although there has been work to quantify these factors in SARS-CoV-2, they have yet to be integrated into a baseline model describing intrahost evolutionary dynamics. To construct such a baseline model, we develop a simulation framework that enables one to establish expectations for underlying levels and patterns of patient-level variation. By varying eight key parameters, we evaluated 12,096 different model-parameter combinations and compared them with existing empirical data. Of these, 592 models (∼5%) were plausible based on the resulting mean expected number of segregating variants. These plausible models shared several commonalities shedding light on intrahost SARS-CoV-2 evolutionary dynamics: severe infection bottlenecks, low levels of reproductive skew, and a distribution of fitness effects skewed toward strongly deleterious mutations. We also describe important areas of model uncertainty and highlight additional sequence data that may help to further refine a baseline model. This study lays the groundwork for the improved analysis of existing and future SARS-CoV-2 within-patient data.
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Affiliation(s)
- John W Terbot
- School of Life Sciences, Center for Evolution & Medicine, Arizona State University, Tempe, Arizona, USA
- Division of Biological Sciences, University of Montana, Missoula, Montana, USA
| | - Brandon S Cooper
- Division of Biological Sciences, University of Montana, Missoula, Montana, USA
| | - Jeffrey M Good
- Division of Biological Sciences, University of Montana, Missoula, Montana, USA
| | - Jeffrey D Jensen
- School of Life Sciences, Center for Evolution & Medicine, Arizona State University, Tempe, Arizona, USA
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21
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Colson P, Bader W, Fantini J, Dudouet P, Levasseur A, Pontarotti P, Devaux C, Raoult D. From viral democratic genomes to viral wild bunch of quasispecies. J Med Virol 2023; 95:e29209. [PMID: 37937701 DOI: 10.1002/jmv.29209] [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: 08/07/2023] [Revised: 10/05/2023] [Accepted: 10/19/2023] [Indexed: 11/09/2023]
Abstract
The tremendous majority of RNA genomes from pathogenic viruses analyzed and deposited in databases are consensus or "democratic" genomes. They represent the genomes most frequently found in the clinical samples of patients but do not account for the huge genetic diversity of coexisting genomes, which is better described as quasispecies. A viral quasispecies is defined as the dynamic distribution of nonidentical but closely related mutants, variants, recombinant, or reassortant viral genomes. Viral quasispecies have collective behavior and dynamics and are the subject of internal interactions that comprise interference, complementation, or cooperation. In the setting of SARS-CoV-2 infection, intrahost SARS-CoV-2 genetic diversity was recently notably reported for immunocompromised, chronically infected patients, for patients treated with monoclonal antibodies targeting the viral spike protein, and for different body compartments of a single patient. A question that deserves attention is whether such diversity is generated postinfection from a clonal genome in response to selection pressure or is already present at the time of infection as a quasispecies. In the present review, we summarize the data supporting that hosts are infected by a "wild bunch" of viruses rather than by multiple virions sharing the same genome. Each virion in the "wild bunch" may have different virulence and tissue tropisms. As the number of viruses replicated during host infections is huge, a viral quasispecies at any time of infection is wide and is also influenced by host-specific selection pressure after infection, which accounts for the difficulty in deciphering and predicting the appearance of more fit variants and the evolution of epidemics of novel RNA viruses.
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Affiliation(s)
- Philippe Colson
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
- Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France
| | - Wahiba Bader
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
| | - Jacques Fantini
- INSERM UMR_S 1072, Aix-Marseille Université, Marseille, France
| | - Pierre Dudouet
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
| | - Anthony Levasseur
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
| | - Pierre Pontarotti
- IHU Méditerranée Infection, Marseille, France
- Department of Biological Sciences, Centre National de la Recherche 16 Scientifique (CNRS)-SNC5039, Marseille, France
| | - Christian Devaux
- IHU Méditerranée Infection, Marseille, France
- Department of Biological Sciences, Centre National de la Recherche 16 Scientifique (CNRS)-SNC5039, Marseille, France
| | - Didier Raoult
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
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22
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Lin CH, Chen B, Chao DY, Hsieh FC, Yang CC, Hsu HW, Tam HMH, Wu HY. Unveiling the biology of defective viral genomes in vitro and in vivo: implications for gene expression and pathogenesis of coronavirus. Virol J 2023; 20:225. [PMID: 37803357 PMCID: PMC10559480 DOI: 10.1186/s12985-023-02189-7] [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: 07/13/2023] [Accepted: 09/19/2023] [Indexed: 10/08/2023] Open
Abstract
BACKGROUND Defective viral genome (DVG) is a truncated version of the full-length virus genome identified in most RNA viruses during infection. The synthesis of DVGs in coronavirus has been suggested; however, the fundamental characteristics of coronavirus DVGs in gene expression and pathogenesis have not been systematically analyzed. METHODS Nanopore direct RNA sequencing was used to investigate the characteristics of coronavirus DVGs in gene expression including reproducibility, abundance, species and genome structures for bovine coronavirus in cells, and for mouse hepatitis virus (MHV)-A59 (a mouse coronavirus) in cells and in mice. The MHV-A59 full-length genomic cDNAs (~ 31 kilobases) were in vitro constructed to experimentally validate the origin of coronavirus DVG. The synthesis of DVGs was also experimentally identified by RT-PCR followed by sequencing. In addition, the alterations of DVGs in amounts and species under different infection environments and selection pressures including the treatment of antiviral remdesivir and interferon were evaluated based on the banding patterns by RT-PCR. RESULTS The results are as follows: (i) the structures of DVGs are with diversity, (ii) DVGs are overall synthesized with moderate (MHV-A59 in cells) to high (BCoV in cells and MHV-A59 in mice) reproducibility under regular infection with the same virus inoculum, (iii) DVGs can be synthesized from the full-length coronavirus genome, (iv) the sequences flanking the recombination point of DVGs are AU-rich and thus may contribute to the recombination events during gene expression, (v) the species and amounts of DVG are altered under different infection environments, and (vi) the biological nature of DVGs between in vitro and in vivo is similar. CONCLUSIONS The identified biological characteristics of coronavirus DVGs in terms of abundance, reproducibility, and variety extend the current model for coronavirus gene expression. In addition, the biological features of alterations in amounts and species of coronavirus DVGs under different infection environments may assist the coronavirus to adapt to the altered environments for virus fitness and may contribute to the coronavirus pathogenesis. Consequently, the unveiled biological features may assist the community to study the gene expression mechanisms of DVGs and their roles in pathogenesis, contributing to the development of antiviral strategy and public health.
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Affiliation(s)
- Ching-Hung Lin
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - BoJia Chen
- Doctoral Program in Microbial Genomics, National Chung Hsing University and Academia Sinica, Taichung, 40227, Taiwan
| | - Day-Yu Chao
- Doctoral Program in Microbial Genomics, National Chung Hsing University and Academia Sinica, Taichung, 40227, Taiwan
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Feng-Cheng Hsieh
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Chun-Chun Yang
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Hsuan-Wei Hsu
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Hon-Man-Herman Tam
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Hung-Yi Wu
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, 40227, Taiwan.
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23
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Mack AH, Menzies G, Southgate A, Jones DD, Connor TR. A Proofreading Mutation with an Allosteric Effect Allows a Cluster of SARS-CoV-2 Viruses to Rapidly Evolve. Mol Biol Evol 2023; 40:msad209. [PMID: 37738143 PMCID: PMC10553922 DOI: 10.1093/molbev/msad209] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/06/2023] [Accepted: 09/19/2023] [Indexed: 09/24/2023] Open
Abstract
The RNA-dependent RNA polymerase of the severe acute respiratory syndrome coronavirus 2 virus is error prone, with errors being corrected by the exonuclease (NSP14) proofreading mechanism. However, the mutagenesis and subsequent evolutionary trajectory of the virus is mediated by the delicate interplay of replicase fidelity and environmental pressures. Here, we have shown that a single, distal mutation (F60S) in NSP14 can have a profound impact upon proofreading with an increased accumulation of mutations and elevated evolutionary rate being observed. Understanding the implications of these changes is crucial, as these underlying mutational processes may have important implications for understanding the population-wide evolution of the virus. This study underscores the urgent need for continued research into the replicative mechanisms of this virus to combat its continued impact on global health, through the re-emergence of immuno-evasive variants.
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Affiliation(s)
- Andrew H Mack
- Molecular Biosciences Division, School of Biosciences, Cardiff University, UK
| | - Georgina Menzies
- Molecular Biosciences Division, School of Biosciences, Cardiff University, UK
| | - Alex Southgate
- Molecular Biosciences Division, School of Biosciences, Cardiff University, UK
| | - D Dafydd Jones
- Molecular Biosciences Division, School of Biosciences, Cardiff University, UK
| | - Thomas R Connor
- Molecular Biosciences Division, School of Biosciences, Cardiff University, UK
- Pathogen Genomics Unit, Public Health Wales NHS Trust, Cardiff, UK
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24
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Demirev AV, Lee K, Bae JY, Park H, Park S, Kim H, Lee J, Cho J, Yang JS, Kim KC, Lee JY, Kim K, Lemey P, Park MS, Kim JI. Molecular evolution and targeted recombination of SARS-CoV-2 in South Korea. iScience 2023; 26:107689. [PMID: 37680469 PMCID: PMC10481354 DOI: 10.1016/j.isci.2023.107689] [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: 05/15/2023] [Revised: 07/28/2023] [Accepted: 08/17/2023] [Indexed: 09/09/2023] Open
Abstract
SARS-CoV-2 variants have continuously emerged globally, including in South Korea. To characterize the molecular evolution of SARS-CoV-2 in South Korea, we performed phylogenetic and genomic recombination analyses using more than 12,000 complete genome sequences collected until October 2022. The variants in South Korea originated from globally identified variants of concern and harbored genetic clade-common and clade-specific amino acid mutations mainly around the N-terminal domain (NTD) or receptor binding domain (RBD) in the spike protein. Several point mutation residues in key antigenic sites were under positive selection persistently with changing genetic clades of SARS-CoV-2. Furthermore, we detected 17 potential genomic recombinants and 76.4% (13/17) retained the mosaic NTD or RBD genome. Our results suggest that point mutations and genomic recombination in the spike contributed to the molecular evolution of SARS-CoV-2 in South Korea, which will form an integral part of global prevention and control measures against SARS-CoV-2.
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Affiliation(s)
- Atanas V. Demirev
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyuyoung Lee
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul, Republic of Korea
| | - Joon-Yong Bae
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul, Republic of Korea
| | - Heedo Park
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul, Republic of Korea
| | - Sejik Park
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hyunbeen Kim
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jungmin Lee
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul, Republic of Korea
| | - Junhyung Cho
- Division of Emerging Viral Diseases and Vector Research, Center for Infectious Diseases Research, National Institute of Infectious Diseases, Korea National Institute of Health, Osong, Republic of Korea
| | - Jeong-Sun Yang
- Division of Emerging Viral Diseases and Vector Research, Center for Infectious Diseases Research, National Institute of Infectious Diseases, Korea National Institute of Health, Osong, Republic of Korea
| | - Kyung-Chang Kim
- Division of Emerging Viral Diseases and Vector Research, Center for Infectious Diseases Research, National Institute of Infectious Diseases, Korea National Institute of Health, Osong, Republic of Korea
| | - Joo-Yeon Lee
- Center for Infectious Diseases Research, National Institute of Infectious Diseases, Korea National Institute of Health, Osong, Republic of Korea
| | - Kisoon Kim
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center, Korea University College of Medicine, Seoul, Republic of Korea
| | - Philippe Lemey
- Department of Microbiology, Immunology, and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - Man-Seong Park
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center, Korea University College of Medicine, Seoul, Republic of Korea
- Biosafety Center, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jin Il Kim
- Department of Microbiology, Institute for Viral Diseases, Korea University College of Medicine, Seoul, Republic of Korea
- Vaccine Innovation Center, Korea University College of Medicine, Seoul, Republic of Korea
- Biosafety Center, Korea University College of Medicine, Seoul, Republic of Korea
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25
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Ramasamy R. Overview of immunological & virological factors driving the evolution & global spread of SARS-CoV-2 variants. Indian J Med Res 2023; 158:257-268. [PMID: 37815068 PMCID: PMC10720969 DOI: 10.4103/ijmr.ijmr_2591_22] [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: 12/21/2022] [Indexed: 10/11/2023] Open
Abstract
The SARS-CoV-2, a highly infectious positive strand RNA virus first identified in December 2019, has produced multiple genetic variants that have rapidly and sequentially spread worldwide during the coronavirus disease 2019 (COVID-19) pandemic. Genetic changes in SARS-CoV-2 for greater infectivity, replication and transmission were selected during the early stages of the pandemic. More recently, after widespread infection and vaccination, SARS-CoV-2 variants that evade antigen-specific adaptive immunity, have begun to be selected. This article provides an overview of the molecular immunological and virological factors underlying the origin and global spread of important SARS-CoV-2 variant lineages.
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26
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Lu M, Yao W, Li Y, Ma D, Zhang Z, Wang H, Tang X, Wang Y, Li C, Cheng D, Lin H, Yin Y, Zhao J, Zhong G. Broadly Effective ACE2 Decoy Proteins Protect Mice from Lethal SARS-CoV-2 Infection. Microbiol Spectr 2023; 11:e0110023. [PMID: 37395664 PMCID: PMC10434153 DOI: 10.1128/spectrum.01100-23] [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: 03/14/2023] [Accepted: 06/06/2023] [Indexed: 07/04/2023] Open
Abstract
As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have been causing increasingly serious drug resistance problem, development of broadly effective and hard-to-escape anti-SARS-CoV-2 agents is an urgent need. Here, we describe further development and characterization of two SARS-CoV-2 receptor decoy proteins, ACE2-Ig-95 and ACE2-Ig-105/106. We found that both proteins had potent and robust in vitro neutralization activities against diverse SARS-CoV-2 variants, including BQ.1 and XBB.1, that are resistant to most clinically used monoclonal antibodies. In a stringent lethal SARS-CoV-2 infection mouse model, both proteins lowered the lung viral load by up to ~1,000-fold, prevented the emergence of clinical signs in >75% animals, and increased the animal survival rate from 0% (untreated) to >87.5% (treated). These results demonstrate that both proteins are good drug candidates for protecting animals from severe COVID-19. In a head-to-head comparison of these two proteins with five previously described ACE2-Ig constructs, we found that two constructs, each carrying five surface mutations in the ACE2 region, had partial loss of neutralization potency against three SARS-CoV-2 variants. These data suggest that extensively mutating ACE2 residues near the receptor binding domain (RBD)-binding interface should be avoided or performed with extra caution. Furthermore, we found that both ACE2-Ig-95 and ACE2-Ig-105/106 could be produced to the level of grams per liter, demonstrating the developability of them as biologic drug candidates. Stress condition stability testing of them further suggests that more studies are required in the future to improve the stability of these proteins. These studies provide useful insight into critical factors for engineering and preclinical development of ACE2 decoys as broadly effective therapeutics against diverse ACE2-utilizing coronaviruses. IMPORTANCE Engineering soluble ACE2 proteins that function as a receptor decoy to block SARS-CoV-2 infection is a very attractive approach to creating broadly effective and hard-to-escape anti-SARS-CoV-2 agents. This article describes development of two antibody-like soluble ACE2 proteins that broadly block diverse SARS-CoV-2 variants, including Omicron. In a stringent COVID-19 mouse model, both proteins successfully protected >87.5% animals from lethal SARS-CoV-2 infection. In addition, a head-to-head comparison of the two constructs developed in this study with five previously described ACE2 decoy constructs was performed here. Two previously described constructs with relatively more ACE2 surface mutations were found with less robust neutralization activities against diverse SARS-CoV-2 variants. Furthermore, the developability of the two proteins as biologic drug candidates was also assessed here. This study provides two broad anti-SARS-CoV-2 drug candidates and useful insight into critical factors for engineering and preclinical development of ACE2 decoys as broadly effective therapeutics against diverse ACE2-utilizing coronaviruses.
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Affiliation(s)
- Mengjia Lu
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen, Guangdong, China
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
| | - Weitong Yao
- Hubei JiangXia Laboratory, Wuhan, Hubei, China
| | - Yujun Li
- Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Danting Ma
- Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin, China
| | - Zhaoyong Zhang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Haimin Wang
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
| | - Xiaojuan Tang
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen, Guangdong, China
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
| | - Yanqun Wang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Chao Li
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
| | - Dechun Cheng
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
| | - Hua Lin
- Biomedical Research Center of South China, Fujian Normal University, Fuzhou, Fujian, China
| | - Yandong Yin
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen, Guangdong, China
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Guocai Zhong
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen, Guangdong, China
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
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27
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Dong X, Hiscox JA. Analysis of SARS-CoV-2 Population Genetics from Samples Associated with Huanan Market and Early Cases Identifies Substitutions Associated with Future Variants of Concern. Viruses 2023; 15:1728. [PMID: 37632069 PMCID: PMC10459715 DOI: 10.3390/v15081728] [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: 06/16/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
SARS-CoV-2 began spreading through human-to-human transmission first within China and then worldwide, with increasing sequence diversity associated with time and the further spread of the virus. The spillover events in the Huanan market were associated with two lineages of SARS-CoV-2 (lineages A and B). Infecting virus populations and those in infected individuals consist of a dominant genomic sequence and minor genomic variants; these latter populations can indicate sites on the genome that may be subject to mutational changes-either neutral or advantageous sites and those that act as a reservoir for future dominant variants-when placed under selection pressure. The earliest deposited sequences with human infections associated with the Huanan market shared very close homology with each other and were all lineage B. However, there were minor genomic variants present in each sample that encompassed synonymous and non-synonymous changes. Fusion sequences characteristic of defective RNA were identified that could potentially link transmission chains between individuals. Although all the individuals appeared to have lineage B as the dominant sequence, nucleotides associated with lineage A could be found at very low frequencies. Several substitutions (but not deletions) associated with much later variants of concern (VoCs) were already present as minor genomic variants. This suggests that low-frequency substitutions at the start of a pandemic could be a reservoir of future dominant variants and/or provide information on potential sites within the genome associated with future plasticity.
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Affiliation(s)
- Xiaofeng Dong
- Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool L3 5RF, UK;
| | - Julian A. Hiscox
- Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool L3 5RF, UK;
- Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool L69 7BE, UK
- A*STAR Infectious Diseases Laboratories (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore 138648, Singapore
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28
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Terbot JW, Cooper BS, Good JM, Jensen JD. A simulation framework for modeling the within-patient evolutionary dynamics of SARS-CoV-2. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.13.548462. [PMID: 37503016 PMCID: PMC10370031 DOI: 10.1101/2023.07.13.548462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
The global impact of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has led to considerable interest in detecting novel beneficial mutations and other genomic changes that may signal the development of variants of concern (VOCs). The ability to accurately detect these changes within individual patient samples is important in enabling early detection of VOCs. Such genomic scans for positive selection are best performed via comparison of empirical data to simulated data wherein evolutionary factors, including mutation and recombination rates, reproductive and infection dynamics, and purifying and background selection, can be carefully accounted for and parameterized. While there has been work to quantify these factors in SARS-CoV-2, they have yet to be integrated into a baseline model describing intra-host evolutionary dynamics. To construct such a baseline model, we develop a simulation framework that enables one to establish expectations for underlying levels and patterns of patient-level variation. By varying eight key parameters, we evaluated 12,096 different model-parameter combinations and compared them to existing empirical data. Of these, 592 models (~5%) were plausible based on the resulting mean expected number of segregating variants. These plausible models shared several commonalities shedding light on intra-host SARS-CoV-2 evolutionary dynamics: severe infection bottlenecks, low levels of reproductive skew, and a distribution of fitness effects skewed towards strongly deleterious mutations. We also describe important areas of model uncertainty and highlight additional sequence data that may help to further refine a baseline model. This study lays the groundwork for the improved analysis of existing and future SARS-CoV-2 within-patient data.
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Affiliation(s)
- John W Terbot
- Arizona State University, School of Life Sciences, Center for Evolution & Medicine, Tempe, Arizona, United States of America
- University of Montana, Division of Biological Sciences, Missoula, Montana, United States of America
| | - Brandon S. Cooper
- University of Montana, Division of Biological Sciences, Missoula, Montana, United States of America
| | - Jeffrey M. Good
- University of Montana, Division of Biological Sciences, Missoula, Montana, United States of America
| | - Jeffrey D. Jensen
- Arizona State University, School of Life Sciences, Center for Evolution & Medicine, Tempe, Arizona, United States of America
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29
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Zhou T, Gilliam NJ, Li S, Spandau S, Osborn RM, Connor S, Anderson CS, Mariani TJ, Thakar J, Dewhurst S, Mathews DH, Huang L, Sun Y. Generation and Functional Analysis of Defective Viral Genomes during SARS-CoV-2 Infection. mBio 2023; 14:e0025023. [PMID: 37074178 PMCID: PMC10294654 DOI: 10.1128/mbio.00250-23] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 03/28/2023] [Indexed: 04/20/2023] Open
Abstract
Defective viral genomes (DVGs) have been identified in many RNA viruses as a major factor influencing antiviral immune response and viral pathogenesis. However, the generation and function of DVGs in SARS-CoV-2 infection are less known. In this study, we elucidated DVG generation in SARS-CoV-2 and its relationship with host antiviral immune response. We observed DVGs ubiquitously from transcriptome sequencing (RNA-seq) data sets of in vitro infections and autopsy lung tissues of COVID-19 patients. Four genomic hot spots were identified for DVG recombination, and RNA secondary structures were suggested to mediate DVG formation. Functionally, bulk and single-cell RNA-seq analysis indicated the interferon (IFN) stimulation of SARS-CoV-2 DVGs. We further applied our criteria to the next-generation sequencing (NGS) data set from a published cohort study and observed a significantly higher amount and frequency of DVG in symptomatic patients than those in asymptomatic patients. Finally, we observed exceptionally diverse DVG populations in one immunosuppressive patient up to 140 days after the first positive test of COVID-19, suggesting for the first time an association between DVGs and persistent viral infections in SARS-CoV-2. Together, our findings strongly suggest a critical role of DVGs in modulating host IFN responses and symptom development, calling for further inquiry into the mechanisms of DVG generation and into how DVGs modulate host responses and infection outcome during SARS-CoV-2 infection. IMPORTANCE Defective viral genomes (DVGs) are generated ubiquitously in many RNA viruses, including SARS-CoV-2. Their interference activity to full-length viruses and IFN stimulation provide the potential for them to be used in novel antiviral therapies and vaccine development. SARS-CoV-2 DVGs are generated through the recombination of two discontinuous genomic fragments by viral polymerase complex, and this recombination is also one of the major mechanisms for the emergence of new coronaviruses. Focusing on the generation and function of SARS-CoV-2 DVGs, these studies identify new hot spots for nonhomologous recombination and strongly suggest that the secondary structures within viral genomes mediate the recombination. Furthermore, these studies provide the first evidence for IFN stimulation activity of de novo DVGs during natural SARS-CoV-2 infection. These findings set up the foundation for further mechanism studies of SARS-CoV-2 recombination and provide evidence to harness the immunostimulatory potential of DVGs in the development of a vaccine and antivirals for SARS-CoV-2.
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Affiliation(s)
- Terry Zhou
- Department of Immunology and Microbiology, University of Rochester Medical Center, Rochester, New York, USA
| | - Nora J. Gilliam
- Department of Immunology and Microbiology, University of Rochester Medical Center, Rochester, New York, USA
- Medical Scientist Training Program, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- Translational Biomedical Sciences PhD Program, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Sizhen Li
- School of Electrical Engineering & Computer Science, Oregon State University, Corvallis, Oregon, USA
| | - Simone Spandau
- Department of Immunology and Microbiology, University of Rochester Medical Center, Rochester, New York, USA
| | - Raven M. Osborn
- Department of Immunology and Microbiology, University of Rochester Medical Center, Rochester, New York, USA
- Translational Biomedical Sciences PhD Program, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Sarah Connor
- Department of Pediatrics and Center for Children’s Health Research, University of Rochester, Rochester, New York, USA
| | - Christopher S. Anderson
- Department of Pediatrics and Center for Children’s Health Research, University of Rochester, Rochester, New York, USA
| | - Thomas J. Mariani
- Department of Pediatrics and Center for Children’s Health Research, University of Rochester, Rochester, New York, USA
| | - Juilee Thakar
- Department of Immunology and Microbiology, University of Rochester Medical Center, Rochester, New York, USA
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- Department of Biomedical Genetics, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Stephen Dewhurst
- Department of Immunology and Microbiology, University of Rochester Medical Center, Rochester, New York, USA
| | - David H. Mathews
- Department of Biochemistry & Biophysics and Center for RNA Biology, University of Rochester Medical Center, Rochester, New York, USA
| | - Liang Huang
- School of Electrical Engineering & Computer Science, Oregon State University, Corvallis, Oregon, USA
| | - Yan Sun
- Department of Immunology and Microbiology, University of Rochester Medical Center, Rochester, New York, USA
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30
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Yang S, Cruz-Cosme R, Cao D, Zhou H, Wu S, Huang J, Luo Z, Zhu H, Tang Q. Murine Hepatitis Virus Exoribonuclease nsp14 Is Required for the Biogenesis of Viral Circular RNAs. Microbiol Spectr 2023; 11:e0446022. [PMID: 37184400 PMCID: PMC10269776 DOI: 10.1128/spectrum.04460-22] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023] Open
Affiliation(s)
- Shaomin Yang
- Department of Pain Medicine and Shenzhen Municipal Key Laboratory for Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China
| | | | - Di Cao
- Department of Pain Medicine and Shenzhen Municipal Key Laboratory for Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China
| | - Hong Zhou
- Howard University College of Medicine, Washington, DC, USA
| | - Songbin Wu
- Shenzhen Nanshan People’s Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Jiabin Huang
- Shenzhen Nanshan People’s Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Zhen Luo
- Department of Pain Medicine and Shenzhen Municipal Key Laboratory for Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China
| | - Hua Zhu
- Rutgers University, Newark, New Jersey, USA
| | - Qiyi Tang
- Howard University College of Medicine, Washington, DC, USA
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31
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Wells HL, Bonavita CM, Navarrete-Macias I, Vilchez B, Rasmussen AL, Anthony SJ. The coronavirus recombination pathway. Cell Host Microbe 2023; 31:874-889. [PMID: 37321171 PMCID: PMC10265781 DOI: 10.1016/j.chom.2023.05.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 06/17/2023]
Abstract
Recombination is thought to be a mechanism that facilitates cross-species transmission in coronaviruses, thus acting as a driver of coronavirus spillover and emergence. Despite its significance, the mechanism of recombination is poorly understood, limiting our potential to estimate the risk of novel recombinant coronaviruses emerging in the future. As a tool for understanding recombination, here, we outline a framework of the recombination pathway for coronaviruses. We review existing literature on coronavirus recombination, including comparisons of naturally observed recombinant genomes as well as in vitro experiments, and place the findings into the recombination pathway framework. We highlight gaps in our understanding of coronavirus recombination illustrated by the framework and outline how further experimental research is critical for disentangling the molecular mechanism of recombination from external environmental pressures. Finally, we describe how an increased understanding of the mechanism of recombination can inform pandemic predictive intelligence, with a retrospective emphasis on SARS-CoV-2.
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Affiliation(s)
- Heather L Wells
- Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY, USA; Department of Pathology, Microbiology, and Immunology, University of California Davis School of Veterinary Medicine, Davis, CA, USA.
| | - Cassandra M Bonavita
- Department of Pathology, Microbiology, and Immunology, University of California Davis School of Veterinary Medicine, Davis, CA, USA
| | - Isamara Navarrete-Macias
- Department of Pathology, Microbiology, and Immunology, University of California Davis School of Veterinary Medicine, Davis, CA, USA
| | - Blake Vilchez
- Department of Pathology, Microbiology, and Immunology, University of California Davis School of Veterinary Medicine, Davis, CA, USA
| | - Angela L Rasmussen
- Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, SK, Canada
| | - Simon J Anthony
- Department of Pathology, Microbiology, and Immunology, University of California Davis School of Veterinary Medicine, Davis, CA, USA.
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32
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Terbot JW, Johri P, Liphardt SW, Soni V, Pfeifer SP, Cooper BS, Good JM, Jensen JD. Developing an appropriate evolutionary baseline model for the study of SARS-CoV-2 patient samples. PLoS Pathog 2023; 19:e1011265. [PMID: 37018331 PMCID: PMC10075409 DOI: 10.1371/journal.ppat.1011265] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2023] Open
Abstract
Over the past 3 years, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has spread through human populations in several waves, resulting in a global health crisis. In response, genomic surveillance efforts have proliferated in the hopes of tracking and anticipating the evolution of this virus, resulting in millions of patient isolates now being available in public databases. Yet, while there is a tremendous focus on identifying newly emerging adaptive viral variants, this quantification is far from trivial. Specifically, multiple co-occurring and interacting evolutionary processes are constantly in operation and must be jointly considered and modeled in order to perform accurate inference. We here outline critical individual components of such an evolutionary baseline model-mutation rates, recombination rates, the distribution of fitness effects, infection dynamics, and compartmentalization-and describe the current state of knowledge pertaining to the related parameters of each in SARS-CoV-2. We close with a series of recommendations for future clinical sampling, model construction, and statistical analysis.
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Affiliation(s)
- John W Terbot
- University of Montana, Division of Biological Sciences, Missoula, Montana, United States of America
- Arizona State University, School of Life Sciences, Center for Evolution & Medicine, Tempe, Arizona, United States of America
| | - Parul Johri
- Arizona State University, School of Life Sciences, Center for Evolution & Medicine, Tempe, Arizona, United States of America
| | - Schuyler W Liphardt
- University of Montana, Division of Biological Sciences, Missoula, Montana, United States of America
| | - Vivak Soni
- Arizona State University, School of Life Sciences, Center for Evolution & Medicine, Tempe, Arizona, United States of America
| | - Susanne P Pfeifer
- Arizona State University, School of Life Sciences, Center for Evolution & Medicine, Tempe, Arizona, United States of America
| | - Brandon S Cooper
- University of Montana, Division of Biological Sciences, Missoula, Montana, United States of America
| | - Jeffrey M Good
- University of Montana, Division of Biological Sciences, Missoula, Montana, United States of America
| | - Jeffrey D Jensen
- Arizona State University, School of Life Sciences, Center for Evolution & Medicine, Tempe, Arizona, United States of America
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33
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Akhter N, Sana S, Adnan Ahsan M, Siddique Z, Huraira A, Sana S. Advances in Diagnosis and Treatment for SARS-CoV-2 Variants. Infect Dis (Lond) 2023. [DOI: 10.5772/intechopen.107846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
Abstract
The COVID-19 pandemic’s epidemiological and clinical characteristics have been affected in recent months by the introduction of SARS-CoV-2 variants with unique spikes of protein alterations. These variations can lessen the protection provided by suppressing monoclonal antibodies and vaccines, as well as enhance the frequencies of transmission of the virus and/or the risk of contracting the disease. Due to these mutations, SARS-CoV-2 may be able to proliferate despite increasing levels of vaccination coverage while preserving and enhancing its reproduction efficiency. This is one of the main strategies in tackling the COVID-19 epidemics, the accessibility of precise and trustworthy biomarkers for the SARS-CoV-2 genetic material and also its nucleic acids is important to investigate the disease in suspect communities, start making diagnoses and management in symptomatic or asymptomatic persons, and evaluate authorization of the pathogen after infection. Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) for virus nucleic acid identification is still the most effective method for such uses due to its sensitivity, quickness, high-throughput sequencing capacity, and trustworthiness. It is essential to update the primer and probe sequences to maintain the recognition of recently emerging variations. Concerning viral variations could develop that are dangerously resistant to the immunization induced by the present vaccinations in coronavirus disease 2019. Additionally, the significance of effective public health interventions and vaccination programs will grow if some variations of concern exhibit an increased risk of transmission or toxicity. The international reaction must’ve been immediate and established in science. These results supported ongoing efforts to prevent and identify infection, as well as to describe mutations in vaccine recipients, and they suggest a potential risk of illness following effective immunization and transmission of pathogens with a mutant viral.
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34
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Sotcheff S, Zhou Y, Yeung J, Sun Y, Johnson JE, Torbett BE, Routh AL. ViReMa: a virus recombination mapper of next-generation sequencing data characterizes diverse recombinant viral nucleic acids. Gigascience 2023; 12:giad009. [PMID: 36939008 PMCID: PMC10025937 DOI: 10.1093/gigascience/giad009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 11/30/2022] [Accepted: 02/03/2023] [Indexed: 03/21/2023] Open
Abstract
BACKGROUND Genetic recombination is a tremendous source of intrahost diversity in viruses and is critical for their ability to rapidly adapt to new environments or fitness challenges. While viruses are routinely characterized using high-throughput sequencing techniques, characterizing the genetic products of recombination in next-generation sequencing data remains a challenge. Viral recombination events can be highly diverse and variable in nature, including simple duplications and deletions, or more complex events such as copy/snap-back recombination, intervirus or intersegment recombination, and insertions of host nucleic acids. Due to the variable mechanisms driving virus recombination and the different selection pressures acting on the progeny, recombination junctions rarely adhere to simple canonical sites or sequences. Furthermore, numerous different events may be present simultaneously in a viral population, yielding a complex mutational landscape. FINDINGS We have previously developed an algorithm called ViReMa (Virus Recombination Mapper) that bootstraps the bowtie short-read aligner to capture and annotate a wide range of recombinant species found within virus populations. Here, we have updated ViReMa to provide an "error density" function designed to accurately detect recombination events in the longer reads now routinely generated by the Illumina platforms and provide output reports for multiple types of recombinant species using standardized formats. We demonstrate the utility and flexibility of ViReMa in different settings to report deletion events in simulated data from Flock House virus, copy-back RNA species in Sendai viruses, short duplication events in HIV, and virus-to-host recombination in an archaeal DNA virus.
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Affiliation(s)
- Stephanea Sotcheff
- Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Yiyang Zhou
- Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Jason Yeung
- John Sealy School of Medicine, The University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Yan Sun
- Department of Microbiology and Immunology, The University of Rochester Medical Center, Rochester, NY 14642, USA
| | - John E Johnson
- Department of Integrative Structural and Computational Biology, Scripps Research, La Jolla, CA 92037, USA
| | - Bruce E Torbett
- Department of Pediatrics, School of Medicine, University of Washington, Seattle, WA 98105, USA
- Center for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, WA 98105, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Andrew L Routh
- Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX 77555, USA
- Sealy Center for Structural Biology and Molecular Biophysics, The University of Texas Medical Branch, Galveston, TX 77555, USA
- Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, TX 77555, USA
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35
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Tomaszewski T, Ali MA, Caetano-Anollés K, Caetano-Anollés G. Seasonal effects decouple SARS-CoV-2 haplotypes worldwide. F1000Res 2023; 12:267. [PMID: 37069849 PMCID: PMC10105261 DOI: 10.12688/f1000research.131522.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/01/2023] [Indexed: 03/18/2023] Open
Abstract
Background: Variants of concern (VOCs) have been replacing each other during the still rampant COVID-19 pandemic. As a result, SARS-CoV-2 populations have evolved increasingly intricate constellations of mutations that often enhance transmissibility, disease severity, and other epidemiological characteristics. The origin and evolution of these constellations remain puzzling. Methods: Here we study the evolution of VOCs at the proteome level by analyzing about 12 million genomic sequences retrieved from GISAID on July 23, 2022. A total 183,276 mutations were identified and filtered with a relevancy heuristic. The prevalence of haplotypes and free-standing mutations was then tracked monthly in various latitude corridors of the world. Results: A chronology of 22 haplotypes defined three phases driven by protein flexibility-rigidity, environmental sensing, and immune escape. A network of haplotypes illustrated the recruitment and coalescence of mutations into major VOC constellations and seasonal effects of decoupling and loss. Protein interaction networks mediated by haplotypes predicted communications impacting the structure and function of proteins, showing the increasingly central role of molecular interactions involving the spike (S), nucleocapsid (N), and membrane (M) proteins. Haplotype markers either affected fusogenic regions while spreading along the sequence of the S-protein or clustered around binding domains. Modeling of protein structure with AlphaFold2 showed that VOC Omicron and one of its haplotypes were major contributors to the distortion of the M-protein endodomain, which behaves as a receptor of other structural proteins during virion assembly. Remarkably, VOC constellations acted cooperatively to balance the more extreme effects of individual haplotypes. Conclusions: Our study uncovers seasonal patterns of emergence and diversification occurring amid a highly dynamic evolutionary landscape of bursts and waves. The mapping of genetically-linked mutations to structures that sense environmental change with powerful ab initio modeling tools demonstrates the potential of deep-learning for COVID-19 predictive intelligence and therapeutic intervention.
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Affiliation(s)
- Tre Tomaszewski
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA
| | - Muhammad Asif Ali
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA
| | | | - Gustavo Caetano-Anollés
- Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA
- C. R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA
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36
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Cable J, Denison MR, Kielian M, Jackson WT, Bartenschlager R, Ahola T, Mukhopadhyay S, Fremont DH, Kuhn RJ, Shannon A, Frazier MN, Yuen KY, Coyne CB, Wolthers KC, Ming GL, Guenther CS, Moshiri J, Best SM, Schoggins JW, Jurado KA, Ebel GD, Schäfer A, Ng LFP, Kikkert M, Sette A, Harris E, Wing PAC, Eggenberger J, Krishnamurthy SR, Mah MG, Meganck RM, Chung D, Maurer-Stroh S, Andino R, Korber B, Perlman S, Shi PY, Bárcena M, Aicher SM, Vu MN, Kenney DJ, Lindenbach BD, Nishida Y, Rénia L, Williams EP. Positive-strand RNA viruses-a Keystone Symposia report. Ann N Y Acad Sci 2023; 1521:46-66. [PMID: 36697369 PMCID: PMC10347887 DOI: 10.1111/nyas.14957] [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] [Indexed: 01/27/2023]
Abstract
Positive-strand RNA viruses have been the cause of several recent outbreaks and epidemics, including the Zika virus epidemic in 2015, the SARS outbreak in 2003, and the ongoing SARS-CoV-2 pandemic. On June 18-22, 2022, researchers focusing on positive-strand RNA viruses met for the Keystone Symposium "Positive-Strand RNA Viruses" to share the latest research in molecular and cell biology, virology, immunology, vaccinology, and antiviral drug development. This report presents concise summaries of the scientific discussions at the symposium.
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Affiliation(s)
| | - Mark R Denison
- Department of Pediatrics and Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center; and Vanderbilt Institute for Infection, Immunology, and Inflammation, Nashville, Tennessee, USA
| | - Margaret Kielian
- Department of Cell Biology, Albert Einstein College of Medicine, New York, New York, USA
| | - William T Jackson
- Department of Microbiology and Immunology and Center for Pathogen Research, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Ralf Bartenschlager
- Department of Infectious Diseases, Molecular Virology, Heidelberg University and German Cancer Research Center (DKFZ), Research Division Virus-associated Carcinogenesis, Heidelberg, Germany
| | - Tero Ahola
- Department of Microbiology, Faculty of Agriculture and Forestry, University of Helsinki, Helsinki, Finland
| | | | - Daved H Fremont
- Department of Pathology & Immunology; Department of Molecular Microbiology; and Department of Biochemistry & Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Richard J Kuhn
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Ashleigh Shannon
- Architecture et Fonction des Macromolécules Biologiques, CNRS and Aix Marseille Université, Marseille, France
| | - Meredith N Frazier
- Signal Transduction Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
| | - Kwok-Yung Yuen
- Department of Microbiology, Li Ka Shing Faculty of Medicine and State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, People's Republic of China
- Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong, People's Republic of China
| | - Carolyn B Coyne
- Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, USA
| | - Katja C Wolthers
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam and Amsterdam Institute for Infection and Immunity, OrganoVIR Labs, Amsterdam, The Netherlands
| | - Guo-Li Ming
- Department of Neuroscience and Mahoney Institute for Neurosciences, Institute for Regenerative Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Jasmine Moshiri
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA
| | - Sonja M Best
- Laboratory of Virology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, Montana, USA
| | - John W Schoggins
- Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Kellie Ann Jurado
- Department of Microbiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Gregory D Ebel
- Center for Vector-borne Infectious Diseases, Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA
| | - Alexandra Schäfer
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Lisa F P Ng
- ASTAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science Technology and Research (A*STAR), Singapore City, Singapore
- National Institute of Health Research, Health Protection Research Unit in Emerging and Zoonotic Infections; Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Marjolein Kikkert
- Department of Medical Microbiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA
- Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Eva Harris
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, California, USA
| | - Peter A C Wing
- Nuffield Department of Medicine and Chinese Academy of Medical Sciences Oxford Institute, University of Oxford, Oxford, UK
| | - Julie Eggenberger
- Department of Immunology, University of Washington School of Medicine, Seattle, Washington, USA
| | - Siddharth R Krishnamurthy
- Metaorganism Immunity Section, Laboratory of Immune System Biology and NIAID Microbiome Program, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Marcus G Mah
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore City, Singapore
| | - Rita M Meganck
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Donghoon Chung
- Department of Experimental Therapeutics, MD Anderson Cancer Center, Houston, Texas, USA
| | - Sebastian Maurer-Stroh
- Yong Loo Lin School of Medicine and Department of Biological Sciences, National University of Singapore, Singapore City, Singapore
- Bioinformatics Institute, Agency for Science, Technology and Research, Singapore City, Singapore
| | - Raul Andino
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, USA
| | - Bette Korber
- Los Alamos National Laboratory, Los Alamos, New Mexico, USA
| | - Stanley Perlman
- Department of Microbiology and Immunology, and Department of Pediatrics, University of Iowa, Iowa City, Iowa, USA
| | - Pei-Yong Shi
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Montserrat Bárcena
- Section Electron Microscopy, Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sophie-Marie Aicher
- Institut Pasteurgrid, Université de Paris Cité, Virus Sensing and Signaling Unit, Paris, France
| | - Michelle N Vu
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Devin J Kenney
- Department of Microbiology and National Emerging Infectious Diseases Laboratories, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Brett D Lindenbach
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Yukiko Nishida
- Chugai Pharmaceutical, Co., Tokyo, Japan
- Lee Kong Chian School of Medicine and School of Biological Sciences, Nanyang Technological University, Singapore City, Singapore
| | - Laurent Rénia
- ASTAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science Technology and Research (A*STAR), Singapore City, Singapore
| | - Evan P Williams
- Department of Microbiology, Immunology, and Biochemistry, The University of Tennessee Health Science Center, Memphis, Tennessee, USA
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Harrison CM, Doster JM, Landwehr EH, Kumar NP, White EJ, Beachboard DC, Stobart CC. Evaluating the Virology and Evolution of Seasonal Human Coronaviruses Associated with the Common Cold in the COVID-19 Era. Microorganisms 2023; 11:microorganisms11020445. [PMID: 36838410 PMCID: PMC9961755 DOI: 10.3390/microorganisms11020445] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/01/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Abstract
Approximately 15-30% of all cases of the common cold are due to human coronavirus infections. More recently, the emergence of the more severe respiratory coronaviruses, SARS-CoV and MERS-CoV, have highlighted the increased pathogenic potential of emergent coronaviruses. Lastly, the current emergence of SARS-CoV-2 has demonstrated not only the potential for significant disease caused by emerging coronaviruses, but also the capacity of novel coronaviruses to promote pandemic spread. Largely driven by the global response to the COVID-19 pandemic, significant research in coronavirus biology has led to advances in our understanding of these viruses. In this review, we evaluate the virology, emergence, and evolution of the four endemic coronaviruses associated with the common cold, their relationship to pandemic SARS-CoV-2, and discuss the potential for future emergent human coronaviruses.
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Affiliation(s)
- Cameron M. Harrison
- Department of Biological Sciences, Butler University, Indianapolis, IN 46208, USA
| | - Jayden M. Doster
- Department of Biological Sciences, Butler University, Indianapolis, IN 46208, USA
| | - Emily H. Landwehr
- Department of Biological Sciences, Butler University, Indianapolis, IN 46208, USA
| | - Nidhi P. Kumar
- Department of Biology, DeSales University, Central Valley, PA 18034, USA
| | - Ethan J. White
- Department of Biological Sciences, Butler University, Indianapolis, IN 46208, USA
| | - Dia C. Beachboard
- Department of Biology, DeSales University, Central Valley, PA 18034, USA
| | - Christopher C. Stobart
- Department of Biological Sciences, Butler University, Indianapolis, IN 46208, USA
- Correspondence:
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38
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Shannon A, Canard B. Kill or corrupt: Mechanisms of action and drug-resistance of nucleotide analogues against SARS-CoV-2. Antiviral Res 2023; 210:105501. [PMID: 36567022 PMCID: PMC9773703 DOI: 10.1016/j.antiviral.2022.105501] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022]
Abstract
Nucleoside/tide analogues (NAs) have long been used in the fight against viral diseases, and now present a promising option for the treatment of COVID-19. Once activated to the 5'-triphosphate state, NAs act by targeting the viral RNA-dependent RNA-polymerase for incorporation into the viral RNA genome. Incorporated analogues can either 'kill' (terminate) synthesis, or 'corrupt' (genetically or chemically) the RNA. Against coronaviruses, the use of NAs has been further complicated by the presence of a virally encoded exonuclease domain (nsp14) with proofreading and repair capacities. Here, we describe the mechanism of action of four promising anti-COVID-19 NAs; remdesivir, molnupiravir, favipiravir and bemnifosbuvir. Their distinct mechanisms of action best exemplify the concept of 'killers' and 'corruptors'. We review available data regarding their ability to be incorporated and excised, and discuss the specific structural features that dictate their overall potency, toxicity, and mutagenic potential. This should guide the synthesis of novel analogues, lend insight into the potential for resistance mutations, and provide a rational basis for upcoming combinations therapies.
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Affiliation(s)
- Ashleigh Shannon
- AFMB, CNRS, Aix-Marseille University, UMR 7257, Case 925, 163 Avenue de Luminy, 13288, Marseille, Cedex 09, France
| | - Bruno Canard
- AFMB, CNRS, Aix-Marseille University, UMR 7257, Case 925, 163 Avenue de Luminy, 13288, Marseille, Cedex 09, France.
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39
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Correlated substitutions reveal SARS-like coronaviruses recombine frequently with a diverse set of structured gene pools. Proc Natl Acad Sci U S A 2023; 120:e2206945119. [PMID: 36693089 PMCID: PMC9945976 DOI: 10.1073/pnas.2206945119] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Quantifying SARS-like coronavirus (SL-CoV) evolution is critical to understanding the origins of SARS-CoV-2 and the molecular processes that could underlie future epidemic viruses. While genomic analyses suggest recombination was a factor in the emergence of SARS-CoV-2, few studies have quantified recombination rates among SL-CoVs. Here, we infer recombination rates of SL-CoVs from correlated substitutions in sequencing data using a coalescent model with recombination. Our computationally-efficient, non-phylogenetic method infers recombination parameters of both sampled sequences and the unsampled gene pools with which they recombine. We apply this approach to infer recombination parameters for a range of positive-sense RNA viruses. We then analyze a set of 191 SL-CoV sequences (including SARS-CoV-2) and find that ORF1ab and S genes frequently undergo recombination. We identify which SL-CoV sequence clusters have recombined with shared gene pools, and show that these pools have distinct structures and high recombination rates, with multiple recombination events occurring per synonymous substitution. We find that individual genes have recombined with different viral reservoirs. By decoupling contributions from mutation and recombination, we recover the phylogeny of non-recombined portions for many of these SL-CoVs, including the position of SARS-CoV-2 in this clonal phylogeny. Lastly, by analyzing >400,000 SARS-CoV-2 whole genome sequences, we show current diversity levels are insufficient to infer the within-population recombination rate of the virus since the pandemic began. Our work offers new methods for inferring recombination rates in RNA viruses with implications for understanding recombination in SARS-CoV-2 evolution and the structure of clonal relationships and gene pools shaping its origins.
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40
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Pseudotyped Viruses for Coronaviruses. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1407:133-151. [PMID: 36920695 DOI: 10.1007/978-981-99-0113-5_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Seven coronaviruses have been identified that can infect humans, four of which usually cause mild symptoms, including HCoV-229E, HCoV-NL63, HCoV-OC43, and HCoV-HKU1, three of which are lethal coronaviruses, named severe acute respiratory syndrome coronavirus, Middle East respiratory syndrome coronavirus, and severe acute respiratory syndrome coronavirus 2. Pseudotyped virus is an important tool in the field of human coronavirus research because it is safe, easy to prepare, easy to detect, and highly modifiable. In addition to the application of pseudotyped viruses in the study of virus infection mechanism, vaccine, and candidate antiviral drug or antibody evaluation and screening, pseudotyped viruses can also be used as an important platform for further application in the prediction of immunogenicity and antigenicity after virus mutation, cross-species transmission prediction, screening, and preparation of vaccine strains with better broad spectrum and antigenicity. Meanwhile, as clinical trials of various types of vaccines and post-clinical studies are also being carried out one after another, the establishment of a high-throughput and fully automated detection platform based on SARS-CoV-2 pseudotyped virus to further reduce the cost of detection and manual intervention and improve the efficiency of large-scale detection is also a demand for the development of SARS-CoV-2 pseudotyped virus.
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41
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Domingo E, García-Crespo C, Soria ME, Perales C. Viral Fitness, Population Complexity, Host Interactions, and Resistance to Antiviral Agents. Curr Top Microbiol Immunol 2023; 439:197-235. [PMID: 36592247 DOI: 10.1007/978-3-031-15640-3_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Fitness of viruses has become a standard parameter to quantify their adaptation to a biological environment. Fitness determinations for RNA viruses (and some highly variable DNA viruses) meet with several uncertainties. Of particular interest are those that arise from mutant spectrum complexity, absence of population equilibrium, and internal interactions among components of a mutant spectrum. Here, concepts, fitness measurements, limitations, and current views on experimental viral fitness landscapes are discussed. The effect of viral fitness on resistance to antiviral agents is covered in some detail since it constitutes a widespread problem in antiviral pharmacology, and a challenge for the design of effective antiviral treatments. Recent evidence with hepatitis C virus suggests the operation of mechanisms of antiviral resistance additional to the standard selection of drug-escape mutants. The possibility that high replicative fitness may be the driver of such alternative mechanisms is considered. New broad-spectrum antiviral designs that target viral fitness may curtail the impact of drug-escape mutants in treatment failures. We consider to what extent fitness-related concepts apply to coronaviruses and how they may affect strategies for COVID-19 prevention and treatment.
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Affiliation(s)
- Esteban Domingo
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, 28049, Madrid, Spain. .,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28029, Madrid, Spain.
| | - Carlos García-Crespo
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, 28049, Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - María Eugenia Soria
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, 28049, Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28029, Madrid, Spain.,Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Av. Reyes Católicos 2, 28040, Madrid, Spain
| | - Celia Perales
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, 28049, Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28029, Madrid, Spain.,Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Av. Reyes Católicos 2, 28040, Madrid, Spain.,Department of Molecular and Cell Biology, Centro Nacional de Biotecnología (CNB-CSIC), Consejo Superior de Investigaciones Científicas (CSIC), Campus de Cantoblanco, 28049, Madrid, Spain
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42
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Abulsoud AI, El-Husseiny HM, El-Husseiny AA, El-Mahdy HA, Ismail A, Elkhawaga SY, Khidr EG, Fathi D, Mady EA, Najda A, Algahtani M, Theyab A, Alsharif KF, Albrakati A, Bayram R, Abdel-Daim MM, Doghish AS. Mutations in SARS-CoV-2: Insights on structure, variants, vaccines, and biomedical interventions. Biomed Pharmacother 2023; 157:113977. [PMID: 36370519 PMCID: PMC9637516 DOI: 10.1016/j.biopha.2022.113977] [Citation(s) in RCA: 67] [Impact Index Per Article: 67.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 10/29/2022] [Accepted: 11/03/2022] [Indexed: 11/09/2022] Open
Abstract
COVID-19 is a worldwide pandemic caused by SARS-coronavirus-2 (SARS-CoV-2). Less than a year after the emergence of the Covid-19 pandemic, many vaccines have arrived on the market with innovative technologies in the field of vaccinology. Based on the use of messenger RNA (mRNA) encoding the Spike SARS-Cov-2 protein or on the use of recombinant adenovirus vectors enabling the gene encoding the Spike protein to be introduced into our cells, these strategies make it possible to envisage the vaccination in a new light with tools that are more scalable than the vaccine strategies used so far. Faced with the appearance of new variants, which will gradually take precedence over the strain at the origin of the pandemic, these new strategies will allow a much faster update of vaccines to fight against these new variants, some of which may escape neutralization by vaccine antibodies. However, only a vaccination policy based on rapid and massive vaccination of the population but requiring a supply of sufficient doses could make it possible to combat the emergence of these variants. Indeed, the greater the number of infected individuals, the faster the virus multiplies, with an increased risk of the emergence of variants in these RNA viruses. This review will discuss SARS-CoV-2 pathophysiology and evolution approaches in altered transmission platforms and emphasize the different mutations and how they influence the virus characteristics. Also, this article summarizes the common vaccines and the implication of the mutations and genetic variety of SARS-CoV-2 on the COVID-19 biomedical arbitrations.
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Affiliation(s)
- Ahmed I Abulsoud
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt; Department of Biochemistry and Biotechnology, Faculty of Pharmacy, Heliopolis University, Cairo 11785, Egypt
| | - Hussein M El-Husseiny
- Laboratory of Veterinary Surgery, Department of Veterinary Medicine, Faculty of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai Cho, Fuchu-shi, Tokyo 183-8509, Japan; Department of Surgery, Anesthesiology, and Radiology, Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh, Elqaliobiya 13736, Egypt.
| | - Ahmed A El-Husseiny
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt; Department of Biochemistry, Faculty of Pharmacy, Egyptian Russian University, Badr City 11829, Cairo, Egypt
| | - Hesham A El-Mahdy
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt
| | - Ahmed Ismail
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt
| | - Samy Y Elkhawaga
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt
| | - Emad Gamil Khidr
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt
| | - Doaa Fathi
- Department of Biochemistry and Biotechnology, Faculty of Pharmacy, Heliopolis University, Cairo 11785, Egypt
| | - Eman A Mady
- Laboratory of Veterinary Physiology, Department of Veterinary Medicine, Faculty of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai Cho, Fuchu-shi, Tokyo 183-8509, Japan; Department of Animal Hygiene, Behavior and Management, Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh, Elqaliobiya 13736, Egypt
| | - Agnieszka Najda
- Department of Vegetable Crops and Medicinal Plants University of Life Sciences, Lublin 50A Doświadczalna Street, 20-280, Lublin, Poland.
| | - Mohammad Algahtani
- Department of Laboratory & Blood Bank, Security Forces Hospital, P.O. Box 14799, Mecca 21955, Saudi Arabia
| | - Abdulrahman Theyab
- Department of Laboratory & Blood Bank, Security Forces Hospital, P.O. Box 14799, Mecca 21955, Saudi Arabia; College of Medicine, Al-Faisal University, P.O. Box 50927, Riyadh 11533, Saudi Arabia
| | - Khalaf F Alsharif
- Department of Clinical Laboratory sciences, College of Applied medical sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
| | - Ashraf Albrakati
- Department of Human Anatomy, College of Medicine, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
| | - Roula Bayram
- Department of Pharmaceutical Sciences, Pharmacy Program, Batterjee Medical College, P.O. Box 6231, Jeddah 21442, Saudi Arabia
| | - Mohamed M Abdel-Daim
- Department of Pharmaceutical Sciences, Pharmacy Program, Batterjee Medical College, P.O. Box 6231, Jeddah 21442, Saudi Arabia; Pharmacology Department, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Ahmed S Doghish
- Department of Biochemistry, Faculty of Pharmacy, Badr University in Cairo (BUC), Badr City, Cairo 11829, Egypt.
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43
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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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Rani R, Long S, Pareek A, Dhaka P, Singh A, Kumar P, McInerney G, Tomar S. Multi-target direct-acting SARS-CoV-2 antivirals against the nucleotide-binding pockets of virus-specific proteins. Virology 2022; 577:1-15. [PMID: 36244310 PMCID: PMC9539459 DOI: 10.1016/j.virol.2022.08.008] [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: 06/24/2022] [Revised: 08/20/2022] [Accepted: 08/20/2022] [Indexed: 11/30/2022]
Abstract
The nucleotide-binding pockets (NBPs) in virus-specific proteins have proven to be the most successful antiviral targets for several viral diseases. Functionally important NBPs are found in various structural and non-structural proteins of SARS-CoV-2. In this study, the first successful multi-targeting attempt to identify effective antivirals has been made against NBPs in nsp12, nsp13, nsp14, nsp15, nsp16, and nucleocapsid (N) proteins of SARS-CoV-2. A structure-based drug repurposing in silico screening approach with ADME analysis identified small molecules targeting NBPs in SARS-CoV-2 proteins. Further, isothermal titration calorimetry (ITC) experiments validated the binding of top hit molecules to the purified N-protein. Importantly, cell-based antiviral assays revealed antiviral potency for INCB28060, darglitazone, and columbianadin with EC50 values 15.71 μM, 5.36 μM, and 22.52 μM, respectively. These effective antivirals targeting multiple proteins are envisioned to direct the development of antiviral therapy against SARS-CoV-2 and its emerging variants.
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Affiliation(s)
- Ruchi Rani
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
| | - Siwen Long
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Akshay Pareek
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
| | - Preeti Dhaka
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
| | - Ankur Singh
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
| | - Pravindra Kumar
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
| | - Gerald McInerney
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Shailly Tomar
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India.
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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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Liu H, Yin X, Tian H, Qiu Y, Wang Z, Chen J, Ma D, Zhao B, Du Q, Tong D, Huang Y. The S protein of a novel recombinant PEDV strain promotes the infectivity and pathogenicity of PEDV in mid-west China. Transbound Emerg Dis 2022; 69:3704-3723. [PMID: 36251324 DOI: 10.1111/tbed.14740] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 10/07/2022] [Accepted: 10/10/2022] [Indexed: 02/07/2023]
Abstract
Porcine epidemic diarrhoea virus (PEDV) is an emerging and re-emerging swine enterovirus that causes highly contagious diarrhoea and mortality in piglets. To better understand the current prevalence of PEDV in mid-west China, and to find out the reason for the re-emergence of PEDV from the viral genomic characteristics. Herein, we firstly investigated epidemiology of PEDV in mid-west China from 2019 to 2020. A total of 62.23% (257/413) of diarrhoea samples were positive for PEDV, and the PEDV-positive cases were mainly detected in winter. Then, we selected the SXSL strain as a representative strain to study the genetic and pathogenic characterization of PEDV pandemic strains in mid-west China. The recombination analysis showed that SXSL strain was a recombinant strain, and the major and minor parent strains of the recombination are CH/SCZJ/2018 strain and GDS48 strain, respectively. Complete genome sequencing and homology analysis showed that the S protein of SXSL strain contained multiple amino acid indels and mutations compared to the PEDV representative strains. Furthermore, we evaluated the effect of S protein on the infectivity and pathogenicity of PEDV by the PEDV reverse genetics system, and results showed that SXSL S protein increased the infectivity and pathogenicity of chimeric virus. Overall, our findings provided important information for understanding the roles of S protein in the prevalence of PEDV in mid-west China and developing vaccines based on PEDV pandemic strains.
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Affiliation(s)
- Haixin Liu
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People's Republic of China, Yangling, China
| | - Xiangrui Yin
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People's Republic of China, Yangling, China
| | - Haolun Tian
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People's Republic of China, Yangling, China
| | - Yudong Qiu
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People's Republic of China, Yangling, China
| | - Zhenyu Wang
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People's Republic of China, Yangling, China
| | - Jing Chen
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People's Republic of China, Yangling, China
| | - Dan Ma
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People's Republic of China, Yangling, China
| | - Bing Zhao
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People's Republic of China, Yangling, China
| | - Qian Du
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People's Republic of China, Yangling, China
| | - Dewen Tong
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People's Republic of China, Yangling, China
| | - Yong Huang
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Engineering Research Center of Efficient New Vaccines for Animals, Ministry of Education of the People's Republic of China, Yangling, China
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Girgis S, Xu Z, Oikonomopoulos S, Fedorova AD, Tchesnokov EP, Gordon CJ, Schmeing TM, Götte M, Sonenberg N, Baranov PV, Ragoussis J, Hobman TC, Pelletier J. Evolution of naturally arising SARS-CoV-2 defective interfering particles. Commun Biol 2022; 5:1140. [PMID: 36302891 PMCID: PMC9610340 DOI: 10.1038/s42003-022-04058-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 09/30/2022] [Indexed: 11/23/2022] Open
Abstract
Defective interfering (DI) particles arise during virus propagation, are conditional on parental virus for replication and packaging, and interfere with viral expansion. There is much interest in developing DIs as anti-viral agents. Here we characterize DI particles that arose following serial passaging of SARS-CoV-2 at high multiplicity of infection. The prominent DIs identified have lost ~84% of the SARS-CoV-2 genome and are capable of attenuating parental viral titers. Synthetic variants of the DI genomes also interfere with infection and can be used as conditional, gene delivery vehicles. In addition, the DI genomes encode an Nsp1-10 fusion protein capable of attenuating viral replication. These results identify naturally selected defective viral genomes that emerged and stably propagated in the presence of parental virus. Genomes from defective interfering (DI) particles following serial passaging of SARS-CoV-2 reveal a fusion protein that attenuates viral replication. Synthetic, recombinant DI genomes are designed to interfere with SARS-CoV-2 replication.
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Affiliation(s)
- Samer Girgis
- Department of Biochemistry, McGill University, Montreal, QC, H3G 1Y6, Canada
| | - Zaikun Xu
- Department of Cell Biology, U Alberta, Edmonton, AB, T6G 2H7, Canada
| | - Spyros Oikonomopoulos
- McGill Genome Centre, Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Alla D Fedorova
- School of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.,SFI Centre for Research Training in Genomics Data Science, University College Cork, Cork, Ireland
| | - Egor P Tchesnokov
- Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB, T6G 2E1, Canada
| | - Calvin J Gordon
- Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB, T6G 2E1, Canada
| | - T Martin Schmeing
- Department of Biochemistry, McGill University, Montreal, QC, H3G 1Y6, Canada
| | - Matthias Götte
- Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB, T6G 2E1, Canada
| | - Nahum Sonenberg
- Department of Biochemistry, McGill University, Montreal, QC, H3G 1Y6, Canada.,Rosalind and Morris Goodman Cancer Institute, Montreal, QC, H3A 1A3, Canada
| | - Pavel V Baranov
- School of Biochemistry and Cell Biology, University College Cork, Cork, Ireland
| | - Jiannis Ragoussis
- McGill Genome Centre, Department of Human Genetics, McGill University, Montreal, QC, Canada.,Department of Bioengineering, McGill University, Montreal, QC, Canada
| | - Tom C Hobman
- Department of Cell Biology, U Alberta, Edmonton, AB, T6G 2H7, Canada. .,Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB, T6G 2E1, Canada. .,Li Ka Shing Institute of Virology, U Alberta, Edmonton, AB, T6G 2E1, Canada. .,Women & Children's Health Research Institute, U Alberta, Edmonton, AB, T6G 1C9, Canada.
| | - Jerry Pelletier
- Department of Biochemistry, McGill University, Montreal, QC, H3G 1Y6, Canada. .,Rosalind and Morris Goodman Cancer Institute, Montreal, QC, H3A 1A3, Canada. .,Department of Oncology, McGill University, Montreal, QC, H3A 1G5, Canada.
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48
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Aw ZQ, Mok CK, Wong YH, Chen H, Mak TM, Lin RTP, Lye DC, Tan KS, Chu JJH. Early pathogenesis profiles across SARS-CoV-2 variants in K18-hACE2 mice revealed differential triggers of lung damages. Front Immunol 2022; 13:950666. [DOI: 10.3389/fimmu.2022.950666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 10/04/2022] [Indexed: 11/13/2022] Open
Abstract
The on-going COVID-19 pandemic has given rise to SARS-CoV-2 clades and variants with differing levels of symptoms and severity. To this end, we aim to systematically elucidate the changes in the pathogenesis as SARS-CoV-2 evolved from ancestral to the recent Omicron VOC, on their mechanisms (e.g. cytokine storm) resulting in tissue damage, using the established K18-hACE2 murine model. We reported that among the SARS-CoV-2 viruses tested, infection profiles were initially similar between viruses from early clades but started to differ greatly starting from VOC Delta, where the trend continues in Omicron. VOCs Delta and Omicron both accumulated a significant number of mutations, and when compared to VOCs Alpha, Beta, and earlier predecessors, showed reduced neurotropism and less apparent gene expression in cytokine storm associated pathways. They were shown to leverage on other pathways to cause tissue damage (or lack of in the case of Omicron). Our study highlighted the importance of elucidating the response profiles of individual SARS-CoV-2 iterations, as their propensity of severe infection via pathways like cytokine storm changes as more variant evolves. This will then affect the overall threat assessment of each variant as well as the use of immunomodulatory treatments as management of severe infections of each variant.
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49
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Tulimilli SV, Dallavalasa S, Basavaraju CG, Kumar Rao V, Chikkahonnaiah P, Madhunapantula SV, Veeranna RP. Variants of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and Vaccine Effectiveness. Vaccines (Basel) 2022; 10:vaccines10101751. [PMID: 36298616 PMCID: PMC9607623 DOI: 10.3390/vaccines10101751] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 10/07/2022] [Accepted: 10/14/2022] [Indexed: 11/16/2022] Open
Abstract
The incidence and death toll due to SARS-CoV-2 infection varied time-to-time; and depended on several factors, including severity (viral load), immune status, age, gender, vaccination status, and presence of comorbidities. The RNA genome of SARS-CoV-2 has mutated and produced several variants, which were classified by the SARS-CoV-2 Interagency Group (SIG) into four major categories. The first category; “Variant Being Monitored (VBM)”, consists of Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2), Epsilon (B.1.427, B.1.429), Eta (B.1.525), Iota (B.1.526), Kappa (B.1.617.1), Mu (B.1.621), and Zeta (P.2); the second category; “Variants of Concern” consists of Omicron (B.1.1.529). The third and fourth categories include “Variants of Interest (VOI)”, and “Variants of High Consequence (VOHC)”, respectively, and contain no variants classified currently under these categories. The surge in VBM and VOC poses a significant threat to public health globally as they exhibit altered virulence, transmissibility, diagnostic or therapeutic escape, and the ability to evade the host immune response. Studies have shown that certain mutations increase the infectivity and pathogenicity of the virus as demonstrated in the case of SARS-CoV-2, the Omicron variant. It is reported that the Omicron variant has >60 mutations with at least 30 mutations in the Spike protein (“S” protein) and 15 mutations in the receptor-binding domain (RBD), resulting in rapid attachment to target cells and immune evasion. The spread of VBM and VOCs has affected the actual protective efficacy of the first-generation vaccines (ChAdOx1, Ad26.COV2.S, NVX-CoV2373, BNT162b2). Currently, the data on the effectiveness of existing vaccines against newer variants of SARS-CoV-2 are very scanty; hence additional studies are immediately warranted. To this end, recent studies have initiated investigations to elucidate the structural features of crucial proteins of SARS-CoV-2 variants and their involvement in pathogenesis. In addition, intense research is in progress to develop better preventive and therapeutic strategies to halt the spread of COVID-19 caused by variants. This review summarizes the structure and life cycle of SARS-CoV-2, provides background information on several variants of SARS-CoV-2 and mutations associated with these variants, and reviews recent studies on the safety and efficacy of major vaccines/vaccine candidates approved against SARS-CoV-2, and its variants.
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Affiliation(s)
- SubbaRao V. Tulimilli
- Center of Excellence in Molecular Biology and Regenerative Medicine (CEMR) Laboratory (DST-FIST Supported Center), Department of Biochemistry (DST-FIST Supported Department), JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysuru 570004, Karnataka, India
| | - Siva Dallavalasa
- Center of Excellence in Molecular Biology and Regenerative Medicine (CEMR) Laboratory (DST-FIST Supported Center), Department of Biochemistry (DST-FIST Supported Department), JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysuru 570004, Karnataka, India
| | - Chaithanya G. Basavaraju
- Center of Excellence in Molecular Biology and Regenerative Medicine (CEMR) Laboratory (DST-FIST Supported Center), Department of Biochemistry (DST-FIST Supported Department), JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysuru 570004, Karnataka, India
| | - Vinay Kumar Rao
- Department of Medical Genetics, JSS Medical College & Hospital, JSS Academy of Higher Education & Research (JSS AHER), Mysore 570015, Karnataka, India
| | - Prashanth Chikkahonnaiah
- Department of Pulmonary Medicine, Mysore Medical College and Research Institute, Mysuru 570001, Karnataka, India
| | - SubbaRao V. Madhunapantula
- Center of Excellence in Molecular Biology and Regenerative Medicine (CEMR) Laboratory (DST-FIST Supported Center), Department of Biochemistry (DST-FIST Supported Department), JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysuru 570004, Karnataka, India
- Special Interest Group in Cancer Biology and Cancer Stem Cells (SIG-CBCSC), JSS Medical College, JSS Academy of Higher Education & Research (JSS AHER), Mysuru 570004, Karnataka, India
| | - Ravindra P. Veeranna
- Department of Biochemistry, Council of Scientific and Industrial Research (CSIR)-Central Food Technological Research Institute (CFTRI), Mysuru 570020, Karnataka, India
- Correspondence:
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50
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Chang MR, Tomasovic L, Kuzmina NA, Ronk AJ, Byrne PO, Johnson R, Storm N, Olmedillas E, Hou YJ, Schäfer A, Leist SR, Tse LV, Ke H, Coherd C, Nguyen K, Kamkaew M, Honko A, Zhu Q, Alter G, Saphire EO, McLellan JS, Griffiths A, Baric RS, Bukreyev A, Marasco WA. IgG-like bispecific antibodies with potent and synergistic neutralization against circulating SARS-CoV-2 variants of concern. Nat Commun 2022; 13:5814. [PMID: 36192374 PMCID: PMC9528872 DOI: 10.1038/s41467-022-33030-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 08/26/2022] [Indexed: 11/25/2022] Open
Abstract
Monoclonal antibodies are a promising approach to treat COVID-19, however the emergence of SARS-CoV-2 variants has challenged the efficacy and future of these therapies. Antibody cocktails are being employed to mitigate these challenges, but neutralization escape remains a major challenge and alternative strategies are needed. Here we present two anti-SARS-CoV-2 spike binding antibodies, one Class 1 and one Class 4, selected from our non-immune human single-chain variable fragment (scFv) phage library, that are engineered into four, fully-human IgG-like bispecific antibodies (BsAb). Prophylaxis of hACE2 mice and post-infection treatment of golden hamsters demonstrates the efficacy of the monospecific antibodies against the original Wuhan strain, while promising in vitro results with the BsAbs demonstrate enhanced binding and distinct synergistic effects on neutralizing activity against circulating variants of concern. In particular, one BsAb engineered in a tandem scFv-Fc configuration shows synergistic neutralization activity against several variants of concern including B.1.617.2. This work provides evidence that synergistic neutralization can be achieved using a BsAb scaffold, and serves as a foundation for the future development of broadly reactive BsAbs against emerging variants of concern. COVID-19 can be treated with monoclonal antibodies against SARS-CoV-2, but emerging new variants might show resistance towards existing therapy. Here authors show that anti-SARS-CoV-2 spike human single-chain antibody fragments could gain neutralizing activity against variants of concern upon engineering into a human bispecific antibody.
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Affiliation(s)
- Matthew R Chang
- Department of Cancer Immunology & Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Luke Tomasovic
- Department of Cancer Immunology & Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Natalia A Kuzmina
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, 77555, USA.,Galveston National Laboratory, Galveston, TX, 77555, USA.,Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA
| | - Adam J Ronk
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, 77555, USA.,Galveston National Laboratory, Galveston, TX, 77555, USA.,Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA
| | - Patrick O Byrne
- Department of Molecular Biosciences, University of Texas, Austin, TX, 78712, USA
| | - Rebecca Johnson
- Department of Microbiology and National Emerging Infectious Diseases Laboratories, Boston University, School of Medicine, Boston, MA, 02118, USA
| | - Nadia Storm
- Department of Microbiology and National Emerging Infectious Diseases Laboratories, Boston University, School of Medicine, Boston, MA, 02118, USA
| | | | - Yixuan J Hou
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Alexandra Schäfer
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Sarah R Leist
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Longping V Tse
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Hanzhong Ke
- Department of Cancer Immunology & Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.,Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Christian Coherd
- Department of Cancer Immunology & Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Katrina Nguyen
- Department of Cancer Immunology & Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Maliwan Kamkaew
- Department of Cancer Immunology & Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Anna Honko
- Department of Microbiology and National Emerging Infectious Diseases Laboratories, Boston University, School of Medicine, Boston, MA, 02118, USA
| | - Quan Zhu
- Department of Cancer Immunology & Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.,Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Galit Alter
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, 02139, USA
| | | | - Jason S McLellan
- Department of Molecular Biosciences, University of Texas, Austin, TX, 78712, USA
| | - Anthony Griffiths
- Department of Microbiology and National Emerging Infectious Diseases Laboratories, Boston University, School of Medicine, Boston, MA, 02118, USA
| | - Ralph S Baric
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Alexander Bukreyev
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, 77555, USA.,Galveston National Laboratory, Galveston, TX, 77555, USA.,Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, 77555, USA
| | - Wayne A Marasco
- Department of Cancer Immunology & Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA. .,Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA.
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