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Bendall EE, Dimcheff D, Papalambros L, Fitzsimmons WJ, Zhu Y, Schmitz J, Halasa N, Chappell J, Martin ET, Biddle JE, Smith-Jeffcoat SE, Rolfes MA, Mellis A, Talbot HK, Grijalva C, Lauring AS. In depth sequencing of a serially sampled household cohort reveals the within-host dynamics of Omicron SARS-CoV-2 and rare selection of novel spike variants. PLoS Pathog 2025; 21:e1013134. [PMID: 40294030 PMCID: PMC12074595 DOI: 10.1371/journal.ppat.1013134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2025] [Revised: 05/13/2025] [Accepted: 04/16/2025] [Indexed: 04/30/2025] Open
Abstract
SARS-CoV-2 has undergone repeated and rapid evolution to circumvent host immunity. However, outside of prolonged infections in immunocompromised hosts, within-host positive selection has rarely been detected. Here we combine daily longitudinal sampling of individuals with replicate sequencing to increase the accuracy of and lower the threshold for variant calling. We sequenced 577 specimens from 105 individuals in a household cohort during the BA.1/BA.2 variant period. Individuals exhibited extremely low viral diversity, and we estimated a low within-host evolutionary rate. Within-host dynamics were dominated by genetic drift and purifying selection. Positive selection was rare but highly concentrated in spike. A Wright Fisher Approximate Bayesian Computational model identified positive selection at 14 loci with 7 in spike, including S:448 and S:339. This detectable immune-mediated selection is unusual in acute respiratory infections and may be caused by the relatively narrow antibody repertoire in individuals during the early Omicron phase of the SARS-CoV-2 pandemic.
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Affiliation(s)
- Emily E. Bendall
- Department of Microbiology & Immunology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Derek Dimcheff
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Leigh Papalambros
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America
| | - William J. Fitzsimmons
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Jonathan Schmitz
- Department of Pathology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - James Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Emily T. Martin
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Jessica E. Biddle
- Centers for Disease Control and Prevention, Atlanta, GeorgiaUnited States of America
| | | | - Melissa A. Rolfes
- Centers for Disease Control and Prevention, Atlanta, GeorgiaUnited States of America
| | - Alexandra Mellis
- Centers for Disease Control and Prevention, Atlanta, GeorgiaUnited States of America
| | - H. Keipp Talbot
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee Tennessee, United States of America
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Carlos Grijalva
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Adam S. Lauring
- Department of Microbiology & Immunology, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America
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2
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Olivos-Ramirez GE, Cofas-Vargas LF, Madl T, Poma AB. Conformational and Stability Analysis of SARS-CoV-2 Spike Protein Variants by Molecular Simulation. Pathogens 2025; 14:274. [PMID: 40137759 PMCID: PMC11945020 DOI: 10.3390/pathogens14030274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2025] [Revised: 03/08/2025] [Accepted: 03/11/2025] [Indexed: 03/29/2025] Open
Abstract
We performed a comprehensive structural analysis of the conformational space of several spike (S) protein variants using molecular dynamics (MD) simulations. Specifically, we examined four well-known variants (Delta, BA.1, XBB.1.5, and JN.1) alongside the wild-type (WT) form of SARS-CoV-2. The conformational states of each variant were characterized by analyzing their distributions within a selected space of collective variables (CVs), such as inter-domain distances between the receptor-binding domain (RBD) and the N-terminal domain (NTD). Our primary focus was to identify conformational states relevant to potential structural transitions and to determine the set of native contacts (NCs) that stabilize these conformations. The results reveal that genetically more distant variants, such as XBB.1.5, BA.1, and JN.1, tend to adopt more compact conformational states compared to the WT. Additionally, these variants exhibit novel NC profiles, characterized by an increased number of specific contacts distributed among ionic, polar, and nonpolar residues. We further analyzed the impact of specific mutations, including T478K, N500Y, and Y504H. These mutations not only enhance interactions with the human host receptor but also alter inter-chain stability by introducing additional NCs compared to the WT. Consequently, these mutations may influence the accessibility of certain protein regions to neutralizing antibodies. Overall, these findings contribute to a deeper understanding of the structural and functional variations among S protein variants.
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Affiliation(s)
- Gustavo E. Olivos-Ramirez
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, 02-106 Warsaw, Poland; (G.E.O.-R.); (L.F.C.-V.)
| | - Luis F. Cofas-Vargas
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, 02-106 Warsaw, Poland; (G.E.O.-R.); (L.F.C.-V.)
| | - Tobias Madl
- Division of Medical Chemistry, Otto Loewi Research Center for Vascular Biology, Immunology and Inflammation, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria;
| | - Adolfo B. Poma
- Department of Biosystems and Soft Matter, Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, 02-106 Warsaw, Poland; (G.E.O.-R.); (L.F.C.-V.)
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Laskar R, Hoque M, Ali S. Phylogeogenomic analysis of the earliest reported sequences of SARS-CoV-2 from 161 countries. APMIS 2025; 133:e13499. [PMID: 39563179 DOI: 10.1111/apm.13499] [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: 05/09/2024] [Accepted: 10/31/2024] [Indexed: 11/21/2024]
Abstract
The SARS-CoV-2 is the causative agent of COVID-19 whose evolutionary path with geographical context forms the focus of present study. The first reported sequence from each of the 161 countries was downloaded from the GISAID database. Multiple sequence alignment was performed using MAFFT v.7, and a TCS-based network was constructed using PopART v.1.7. A total of 27 proteins were analyzed including structural and non-structural proteins. NSP3 and NSP12, responsible for viral replication and RNA synthesis, respectively, had the highest mutation incidence and frequency among non-structural proteins. The spike (S) protein, critical for viral attachment and entry, had the highest prevalence and frequency of mutations. ORF3a had the highest mutation incidence and frequency among accessory proteins. The phylogeogenomic network identified six haplogroups containing 35 sequences, while the remaining sequences belonged to different haplotypes. The virus's genetic distinctiveness was higher in European genomes, with four haplogroups dominated by Europe-linked sequences. The triangular-shaped pattern observed in the virus's evolutionary path suggests that it spread to different continents from Asia. Multiple transmission pathways connecting different countries affirm the virus's ability to emerge in multiple countries by early 2020. The possibility of new species emergence through "saltation" due to the pandemic is also discussed.
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Affiliation(s)
- Rezwanuzzaman Laskar
- Clinical and Applied Genomics (CAG) Laboratory, Department of Biological Sciences, Aliah University, Kolkata, India
| | - Mehboob Hoque
- Applied Bio-Chemistry (ABC) Lab, Department of Biological Sciences, Aliah University, Kolkata, India
| | - Safdar Ali
- Clinical and Applied Genomics (CAG) Laboratory, Department of Biological Sciences, Aliah University, Kolkata, India
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4
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Bendall EE, Dimcheff D, Papalambros L, Fitzsimmons WJ, Zhu Y, Schmitz J, Halasa N, Chappell J, Martin ET, Biddle JE, Smith-Jeffcoat SE, Rolfes MA, Mellis A, Talbot HK, Grijalva C, Lauring AS. In depth sequencing of a serially sampled household cohort reveals the within-host dynamics of Omicron SARS-CoV-2 and rare selection of novel spike variants. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.11.21.624722. [PMID: 39605326 PMCID: PMC11601520 DOI: 10.1101/2024.11.21.624722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
SARS-CoV-2 has undergone repeated and rapid evolution to circumvent host immunity. However, outside of prolonged infections in immunocompromised hosts, within-host positive selection has rarely been detected. The low diversity within-hosts and strong genetic linkage among genomic sites make accurately detecting positive selection difficult. Longitudinal sampling is a powerful method for detecting selection that has seldom been used for SARS-CoV-2. Here we combine longitudinal sampling with replicate sequencing to increase the accuracy of and lower the threshold for variant calling. We sequenced 577 specimens from 105 individuals from a household cohort primarily during the BA.1/BA.2 variant period. There was extremely low diversity and a low rate of divergence. Specimens had 0-12 intrahost single nucleotide variants (iSNV) at >0.5% frequency, and the majority of the iSNV were at frequencies <2%. Within-host dynamics were dominated by genetic drift and purifying selection. Positive selection was rare but highly concentrated in spike. Two individuals with BA.1 infections had S:371F, a lineage defining substitution for BA.2. A Wright Fisher Approximate Bayesian Computational model identified positive selection at 14 loci with 7 in spike, including S:448 and S:339. We also detected significant genetic hitchhiking between synonymous changes and nonsynonymous iSNV under selection. The detectable immune-mediated selection may be caused by the relatively narrow antibody repertoire in individuals during the early Omicron phase of the SARS-CoV-2 pandemic. As both the virus and population immunity evolve, understanding the corresponding shifts in SARS-CoV-2 within-host dynamics will be important.
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Affiliation(s)
- Emily E. Bendall
- Department of Microbiology & Immunology, University of Michigan, Ann Arbor, MI, USA
| | - Derek Dimcheff
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Leigh Papalambros
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | | | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jonathan Schmitz
- Department of Pathology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - James Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Emily T. Martin
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | | | | | | | | | - H. Keipp Talbot
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Carlos Grijalva
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adam S. Lauring
- Department of Microbiology & Immunology, University of Michigan, Ann Arbor, MI, USA
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
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Cavalcanti-Dantas VDM, Fernandes B, Dantas PHLF, Uchoa GR, Mendes AF, Araújo Júnior WOD, Castellano LRC, Fernandes AIV, Goulart LR, Oliveira RADS, Assis PACD, Souza JRD, Morais CNLD. Differential epitope prediction across diverse circulating variants of SARS-COV-2 in Brazil. Comput Biol Chem 2024; 112:108139. [PMID: 38972100 DOI: 10.1016/j.compbiolchem.2024.108139] [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: 10/18/2023] [Revised: 06/09/2024] [Accepted: 06/22/2024] [Indexed: 07/09/2024]
Abstract
COVID-19, caused by the SARS-COV-2 virus, induces numerous immunological reactions linked to the severity of the clinical condition of those infected. The surface Spike protein (S protein) present in Sars-CoV-2 is responsible for the infection of host cells. This protein presents a high rate of mutations, which can increase virus transmissibility, infectivity, and immune evasion. Therefore, we propose to evaluate, using immunoinformatic techniques, the predicted epitopes for the S protein of seven variants of Sars-CoV-2. MHC class I and II epitopes were predicted and further assessed for their immunogenicity, interferon-gamma (IFN-γ) inducing capacity, and antigenicity. For B cells, linear and structural epitopes were predicted. For class I MHC epitopes, 40 epitopes were found for the clades of Wuhan, Clade 2, Clade 3, and 20AEU.1, Gamma, and Delta, in addition to 38 epitopes for Alpha and 44 for Omicron. For MHC II, there were differentially predicted epitopes for all variants and eight equally predicted epitopes. These were evaluated for differences in the MHC II alleles to which they would bind. Regarding B cell epitopes, 16 were found in the Wuhan variant, 14 in 22AEU.1 and in Clade 3, 15 in Clade 2, 11 in Alpha and Delta, 13 in Gamma, and 9 in Omicron. When compared, there was a reduction in the number of predicted epitopes concerning the Spike protein, mainly in the Delta and Omicron variants. These findings corroborate the need for updates seen today in bivalent mRNA vaccines against COVID-19 to promote a targeted immune response to the main circulating variant, Omicron, leading to more robust protection against this virus and avoiding cases of reinfection. When analyzing the specific epitopes for the RBD region of the spike protein, the Omicron variant did not present a B lymphocyte epitope from position 390, whereas the epitope at position 493 for MHC was predicted only for the Alpha, Gamma, and Omicron variants.
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Affiliation(s)
| | | | | | | | | | | | | | - Ana Isabel Vieira Fernandes
- Health Promotion Department of the Medical Sciences Center and Division for Infectious and Parasitic Diseases, Lauro Wanderley University Hospital, Federal University of Paraiba, Brazil
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Tolksdorf B, Heinze J, Niemeyer D, Röhrs V, Berg J, Drosten C, Kurreck J. Development of a highly stable, active small interfering RNA with broad activity against SARS-CoV viruses. Antiviral Res 2024; 226:105879. [PMID: 38599550 DOI: 10.1016/j.antiviral.2024.105879] [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: 02/02/2024] [Revised: 03/22/2024] [Accepted: 04/02/2024] [Indexed: 04/12/2024]
Abstract
Treatment options for COVID-19 remain limited. Here, we report the optimization of an siRNA targeting the highly conserved leader region of SARS-CoV-2. The siRNA was rendered nuclease resistant by the introduction of modified nucleotides without loss of activity. Importantly, the siRNA also retained its inhibitory activity against the emerged omicron sublineage variant BA.2, which occurred after the siRNA was designed and is resistant to other antiviral agents such as antibodies. In addition, we show that a second highly active siRNA designed against the viral 5'-UTR can be applied as a rescue molecule, to minimize the spread of escape mutations. We therefore consider our siRNA-based molecules to be promising broadly active candidates for the treatment of current and future SARS-CoV-2 variants.
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Affiliation(s)
- Beatrice Tolksdorf
- Chair of Applied Biochemistry, Institute of Biotechnology, Technische Universität Berlin, Berlin, 10623, Germany
| | - Julian Heinze
- German Center for Infection Research (DZIF), Charitéplatz 1, 10117, Berlin, Germany; Institute of Virology, Charité-Universitätsmedizin Berlin, 10117, Germany
| | - Daniela Niemeyer
- German Center for Infection Research (DZIF), Charitéplatz 1, 10117, Berlin, Germany; Institute of Virology, Charité-Universitätsmedizin Berlin, 10117, Germany
| | - Viola Röhrs
- Chair of Applied Biochemistry, Institute of Biotechnology, Technische Universität Berlin, Berlin, 10623, Germany
| | - Johanna Berg
- Chair of Applied Biochemistry, Institute of Biotechnology, Technische Universität Berlin, Berlin, 10623, Germany
| | - Christian Drosten
- German Center for Infection Research (DZIF), Charitéplatz 1, 10117, Berlin, Germany; Institute of Virology, Charité-Universitätsmedizin Berlin, 10117, Germany
| | - Jens Kurreck
- Chair of Applied Biochemistry, Institute of Biotechnology, Technische Universität Berlin, Berlin, 10623, Germany.
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