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de Ávila AI, Soria ME, Martínez-González B, Somovilla P, Mínguez P, Salar-Vidal L, Esteban-Muñoz M, Martín-García M, Zuñiga S, Sola I, Enjuanes L, Gadea I, Perales C, Domingo E. SARS-CoV-2 biological clones are genetically heterogeneous and include clade-discordant residues. J Virol 2025; 99:e0225024. [PMID: 40272156 PMCID: PMC12090815 DOI: 10.1128/jvi.02250-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2024] [Accepted: 03/26/2025] [Indexed: 04/25/2025] Open
Abstract
Defective genomes are part of SARS-CoV-2 quasispecies. High-resolution, ultra-deep sequencing of bulk RNA from viral populations does not distinguish RNA mutations, insertions, and deletions in viable genomes from those in defective genomes. To quantify SARS-CoV-2 infectious variant progeny, virus from four individual plaques (biological clones) of a preparation of isolate USA-WA1/2020, formed on Vero E6 cell monolayers, was subjected to further biological cloning to yield 9 second-generation and 15 third-generation sub-clones. Consensus genomic sequences of the biological clones and sub-clones included an average of 2.8 variations per viable genome, relative to the consensus sequence of the parental USA-WA1/2020 virus. This value is 6.5-fold lower than the estimates for biological clones of other RNA viruses such as bacteriophage Qβ, foot-and-mouth disease virus, or hepatitis C virus in cell culture. The mutant spectrum complexity of the nsp12 (polymerase)- and spike (S)-coding region was unique in the progeny of each of 10 third-generation sub-clones; they shared 2.4% of the total of 164 different mutations and deletions scored in the 3,719 genomic residues that were screened. The presence of minority out-of-frame deletions revealed the ease of defective genome production from an individual infectious genome. Several low-frequency point mutations and deletions were clade-discordant in that they were not typical of USA-WA1/2020 but served to define the consensus sequences of future SARS-CoV-2 clades. Implications for SARS-CoV-2 adaptability and COVID-19 control of the viable genome heterogeneity and the generation of complex mutant spectra from individual genomes are discussed.IMPORTANCESequencing of biological clones is a means to identify mutations, insertions, and deletions located in viable genomes. This distinction is particularly important for viral populations, such as those of SARS-CoV-2, that contain large proportions of defective genomes. By sequencing biological clones and sub-clones, we quantified the heterogeneity of the viable complement of USA-WA1/2020 to be lower than exhibited by other RNA viruses. This difference may be due to a reduced mutation rate or to limited tolerance of the large coronavirus genome to incorporate mutations and deletions and remain functional or a combination of both influences. The presence of clade-discordant residues in the progeny of individual biological sub-clones suggests limitations in the occupation of sequence space by SARS-CoV-2. However, the complex and unique mutant spectra that are rapidly generated from individual genomes suggest an aptness to confront selective constraints.
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Affiliation(s)
- Ana Isabel de Ávila
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
| | - María Eugenia Soria
- Centro de Biología Molecular “Severo Ochoa” (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
| | - 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
| | - Pilar Somovilla
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
- Departamento de Biología Molecular, Universidad Autonoma de Madrid, Campus de Cantoblanco, Madrid, Spain
| | - Pablo Mínguez
- Department of Genetics and Genomics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Center 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
- Center 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
| | - Marta Martín-García
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, 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
| | - Ignacio Gadea
- Department of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Center for Biomedical Network Research on Infectious Diseases (CIBERINFEC), 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
| | - Esteban Domingo
- Centro de Biología Molecular “Severo Ochoa” (CSIC-UAM), Campus de Cantoblanco, Madrid, Spain
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Tang W, Kim J, Lee RT, Maurer-Stroh S, Renia L, Tay MZ. SARS-CoV-2: lessons in virus mutation prediction and pandemic preparedness. Curr Opin Immunol 2025; 95:102560. [PMID: 40378522 DOI: 10.1016/j.coi.2025.102560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2025] [Revised: 04/23/2025] [Accepted: 04/24/2025] [Indexed: 05/19/2025]
Abstract
The COVID-19 pandemic has prompted an unprecedented global response. In particular, extraordinary efforts have been dedicated toward monitoring and predicting variant emergence due to its huge impact, particularly for vaccine escape. Broadly, we classify such methods into two categories: forward mutation prediction, where phenotypes are first observed and the responsible genotypes traced, and reverse mutation prediction, which starts with selected pathogen genetic profiles and characterizes their associated phenotypes. Reverse mutation prediction strategies have advantages in being able to sample a more complete evolutionary space since sequences that do not yet exist can be sampled. The rapid improvement in the maturity and scale of reverse mutation prediction strategies, such as deep mutational scanning, has led to significant amounts of data for machine learning, with concomitant improvement in the prediction results from computational tools. Such integrated prediction approaches are generalizable and offer significant opportunities for anticipating viral evolution and for pandemic preparedness.
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Affiliation(s)
- Weiyi Tang
- A*STAR Infectious Diseases Labs (AIDL), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Jenna Kim
- A*STAR Infectious Diseases Labs (AIDL), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Raphael Tc Lee
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore; GISAID Global Data Science Initiative (GISAID), Munich, Germany
| | - Sebastian Maurer-Stroh
- A*STAR Infectious Diseases Labs (AIDL), Agency for Science, Technology and Research (A*STAR), Singapore; Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore; GISAID Global Data Science Initiative (GISAID), Munich, Germany; National Public Health Laboratory, Singapore, Singapore; Department of Biological Sciences, National University of Singapore, Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Laurent Renia
- A*STAR Infectious Diseases Labs (AIDL), Agency for Science, Technology and Research (A*STAR), Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore
| | - Matthew Z Tay
- A*STAR Infectious Diseases Labs (AIDL), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Biochemistry, National University of Singapore, Singapore.
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Arévalo-Romero JA, López-Cantillo G, Moreno-Jiménez S, Marcos-Alcalde Í, Ros-Pardo D, Camacho BA, Gómez-Puertas P, Ramírez-Segura CA. In Silico Design of miniACE2 Decoys with In Vitro Enhanced Neutralization Activity against SARS-CoV-2, Encompassing Omicron Subvariants. Int J Mol Sci 2024; 25:10802. [PMID: 39409131 PMCID: PMC11476394 DOI: 10.3390/ijms251910802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2024] [Revised: 10/02/2024] [Accepted: 10/04/2024] [Indexed: 10/20/2024] Open
Abstract
The COVID-19 pandemic has overwhelmed healthcare systems and triggered global economic downturns. While vaccines have reduced the lethality rate of SARS-CoV-2 to 0.9% as of October 2024, the continuous evolution of variants remains a significant public health challenge. Next-generation medical therapies offer hope in addressing this threat, especially for immunocompromised individuals who experience prolonged infections and severe illnesses, contributing to viral evolution. These cases increase the risk of new variants emerging. This study explores miniACE2 decoys as a novel strategy to counteract SARS-CoV-2 variants. Using in silico design and molecular dynamics, blocking proteins (BPs) were developed with stronger binding affinity for the receptor-binding domain of multiple variants than naturally soluble human ACE2. The BPs were expressed in E. coli and tested in vitro, showing promising neutralizing effects. Notably, miniACE2 BP9 exhibited an average IC50 of 4.9 µg/mL across several variants, including the Wuhan strain, Mu, Omicron BA.1, and BA.2 This low IC50 demonstrates the potent neutralizing ability of BP9, indicating its efficacy at low concentrations.Based on these findings, BP9 has emerged as a promising therapeutic candidate for combating SARS-CoV-2 and its evolving variants, thereby positioning it as a potential emergency biopharmaceutical.
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Affiliation(s)
- Jenny Andrea Arévalo-Romero
- Unidad de Ingeniería Celular y Molecular, Instituto Distrital de Ciencia, Biotecnología e Innovación en Salud, IDCBIS, Bogotá 111611, Colombia; (J.A.A.-R.); (G.L.-C.); (S.M.-J.); (B.A.C.)
- Instituto de Errores Innatos del Metabolismo, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá 110231, Colombia
| | - Gina López-Cantillo
- Unidad de Ingeniería Celular y Molecular, Instituto Distrital de Ciencia, Biotecnología e Innovación en Salud, IDCBIS, Bogotá 111611, Colombia; (J.A.A.-R.); (G.L.-C.); (S.M.-J.); (B.A.C.)
| | - Sara Moreno-Jiménez
- Unidad de Ingeniería Celular y Molecular, Instituto Distrital de Ciencia, Biotecnología e Innovación en Salud, IDCBIS, Bogotá 111611, Colombia; (J.A.A.-R.); (G.L.-C.); (S.M.-J.); (B.A.C.)
| | - Íñigo Marcos-Alcalde
- Grupo de Modelado Molecular del Centro de Biología Molecular Severo Ochoa, 14 CSIC-UAM, 28049 Madrid, Spain; (Í.M.-A.); (D.R.-P.)
| | - David Ros-Pardo
- Grupo de Modelado Molecular del Centro de Biología Molecular Severo Ochoa, 14 CSIC-UAM, 28049 Madrid, Spain; (Í.M.-A.); (D.R.-P.)
| | - Bernardo Armando Camacho
- Unidad de Ingeniería Celular y Molecular, Instituto Distrital de Ciencia, Biotecnología e Innovación en Salud, IDCBIS, Bogotá 111611, Colombia; (J.A.A.-R.); (G.L.-C.); (S.M.-J.); (B.A.C.)
| | - Paulino Gómez-Puertas
- Grupo de Modelado Molecular del Centro de Biología Molecular Severo Ochoa, 14 CSIC-UAM, 28049 Madrid, Spain; (Í.M.-A.); (D.R.-P.)
| | - Cesar A. Ramírez-Segura
- Unidad de Ingeniería Celular y Molecular, Instituto Distrital de Ciencia, Biotecnología e Innovación en Salud, IDCBIS, Bogotá 111611, Colombia; (J.A.A.-R.); (G.L.-C.); (S.M.-J.); (B.A.C.)
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Focosi D, Spezia PG, Maggi F. Subsequent Waves of Convergent Evolution in SARS-CoV-2 Genes and Proteins. Vaccines (Basel) 2024; 12:887. [PMID: 39204013 PMCID: PMC11358953 DOI: 10.3390/vaccines12080887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Revised: 08/02/2024] [Accepted: 08/03/2024] [Indexed: 09/03/2024] Open
Abstract
Beginning in 2022, following widespread infection and vaccination among the global population, the SARS-CoV-2 virus mainly evolved to evade immunity derived from vaccines and past infections. This review covers the convergent evolution of structural, nonstructural, and accessory proteins in SARS-CoV-2, with a specific look at common mutations found in long-lasting infections that hint at the virus potentially reverting to an enteric sarbecovirus type.
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Affiliation(s)
- Daniele Focosi
- North-Western Tuscany Blood Bank, Pisa University Hospital, 56124 Pisa, Italy;
| | - Pietro Giorgio Spezia
- Laboratory of Virology and Laboratory of Biosecurity, National Institute of Infectious Diseases Lazzaro Spallanzani—IRCCS, 00149 Rome, Italy;
| | - Fabrizio Maggi
- Laboratory of Virology and Laboratory of Biosecurity, National Institute of Infectious Diseases Lazzaro Spallanzani—IRCCS, 00149 Rome, Italy;
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Campos GRF, Almeida NBF, Filgueiras PS, Corsini CA, Gomes SVC, de Miranda DAP, de Assis JV, Silva TBDS, Alves PA, Fernandes GDR, de Oliveira JG, Rahal P, Grenfell RFQ, Nogueira ML. Second booster dose improves antibody neutralization against BA.1, BA.5 and BQ.1.1 in individuals previously immunized with CoronaVac plus BNT162B2 booster protocol. Front Cell Infect Microbiol 2024; 14:1371695. [PMID: 38638823 PMCID: PMC11024236 DOI: 10.3389/fcimb.2024.1371695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 03/14/2024] [Indexed: 04/20/2024] Open
Abstract
Introduction SARS-CoV-2 vaccines production and distribution enabled the return to normalcy worldwide, but it was not fast enough to avoid the emergence of variants capable of evading immune response induced by prior infections and vaccination. This study evaluated, against Omicron sublineages BA.1, BA.5 and BQ.1.1, the antibody response of a cohort vaccinated with a two doses CoronaVac protocol and followed by two heterologous booster doses. Methods To assess vaccination effectiveness, serum samples were collected from 160 individuals, in 3 different time points (9, 12 and 18 months after CoronaVac protocol). For each time point, individuals were divided into 3 subgroups, based on the number of additional doses received (No booster, 1 booster and 2 boosters), and a viral microneutralization assay was performed to evaluate neutralization titers and seroconvertion rate. Results The findings presented here show that, despite the first booster, at 9m time point, improved neutralization level against omicron ancestor BA.1 (133.1 to 663.3), this trend was significantly lower for BQ.1.1 and BA.5 (132.4 to 199.1, 63.2 to 100.2, respectively). However, at 18m time point, the administration of a second booster dose considerably improved the antibody neutralization, and this was observed not only against BA.1 (2361.5), but also against subvariants BQ.1.1 (726.1) and BA.5 (659.1). Additionally, our data showed that, after first booster, seroconvertion rate for BA.5 decayed over time (93.3% at 12m to 68.4% at 18m), but after the second booster, seroconvertion was completely recovered (95% at 18m). Discussion Our study reinforces the concerns about immunity evasion of the SARS-CoV-2 omicron subvariants, where BA.5 and BQ.1.1 were less neutralized by vaccine induced antibodies than BA.1. On the other hand, the administration of a second booster significantly enhanced antibody neutralization capacity against these subvariants. It is likely that, as new SARS-CoV-2 subvariants continue to emerge, additional immunizations will be needed over time.
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Affiliation(s)
- Guilherme R. F. Campos
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, Brazil
| | | | - Priscilla Soares Filgueiras
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Camila Amormino Corsini
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Sarah Vieira Contin Gomes
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Daniel Alvim Pena de Miranda
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Jéssica Vieira de Assis
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Thaís Bárbara de Souza Silva
- Laboratório de Imunologia de Doenças Virais, Instituto Rene Rachou - Fundação Oswaldo Cruz, Belo Horizonte, Brazil
| | - Pedro Augusto Alves
- Laboratório de Imunologia de Doenças Virais, Instituto Rene Rachou - Fundação Oswaldo Cruz, Belo Horizonte, Brazil
| | - Gabriel da Rocha Fernandes
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | | | - Paula Rahal
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas (IBILCE), Universidade Estadual Paulista (Unesp), São José do Rio Preto, Brazil
| | - Rafaella Fortini Queiroz Grenfell
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, United States
| | - Maurício L. Nogueira
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP), São José do Rio Preto, Brazil
- Hospital de Base, São José do Rio Preto, Brazil
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States
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