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Aw DZH, Zhang DX, Vignuzzi M. Strategies and efforts in circumventing the emergence of antiviral resistance against conventional antivirals. NPJ ANTIMICROBIALS AND RESISTANCE 2025; 3:54. [PMID: 40490516 DOI: 10.1038/s44259-025-00125-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2024] [Accepted: 05/21/2025] [Indexed: 06/11/2025]
Abstract
Antiviral resistance stemming from rapid viral evolution and adaptation is a major challenge faced in treating viral infections. Here, we describe the mechanisms and factors underlying antiviral resistance and their implications to future drug development. Current improvements to conventional methods provide viable options to overcome antiviral resistance. Ongoing efforts in developing new antiviral strategies are also discussed. Examples from across virology are used to illustrate how virus evolution and antiviral therapy influence each other.
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Affiliation(s)
- Daryl Zheng Hao Aw
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, Immunos #05-13, Singapore, 138648, Singapore
| | - Denzel Xugeng Zhang
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, Immunos #05-13, Singapore, 138648, Singapore
| | - Marco Vignuzzi
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, Immunos #05-13, Singapore, 138648, Singapore.
- Infectious Diseases Translational Research Programme, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
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2
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Pellman J, Goldstein A, Słabicki M. Human E3 ubiquitin ligases: accelerators and brakes for SARS-CoV-2 infection. Biochem Soc Trans 2024; 52:2009-2021. [PMID: 39222407 PMCID: PMC11555711 DOI: 10.1042/bst20230324] [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: 06/06/2024] [Revised: 08/12/2024] [Accepted: 08/15/2024] [Indexed: 09/04/2024]
Abstract
E3 ubiquitin ligases regulate the composition of the proteome. These enzymes mono- or poly-ubiquitinate their substrates, directly altering protein function or targeting proteins for degradation by the proteasome. In this review, we discuss the opposing roles of human E3 ligases as effectors and targets in the evolutionary battle between host and pathogen, specifically in the context of SARS-CoV-2 infection. Through complex effects on transcription, translation, and protein trafficking, human E3 ligases can either attenuate SARS-CoV-2 infection or become vulnerabilities that are exploited by the virus to suppress the host's antiviral defenses. For example, the human E3 ligase RNF185 regulates the stability of SARS-CoV-2 envelope protein through the ubiquitin-proteasome pathway, and depletion of RNF185 significantly increases SARS-CoV-2 viral titer (iScience (2023) 26, 106601). We highlight recent advances that identify functions for numerous human E3 ligases in the SARS-CoV-2 life cycle and we assess their potential as novel antiviral agents.
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Affiliation(s)
- Jesse Pellman
- Broad Institute of MIT and Harvard, Cambridge, MA, U.S.A
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, U.S.A
| | - Anna Goldstein
- Broad Institute of MIT and Harvard, Cambridge, MA, U.S.A
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, U.S.A
| | - Mikołaj Słabicki
- Broad Institute of MIT and Harvard, Cambridge, MA, U.S.A
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, U.S.A
- Krantz Family Center for Cancer Research, Massachusetts General Hospital Cancer Center, Boston, MA, U.S.A
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3
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Garziano M, Cano Fiestas M, Vanetti C, Strizzi S, Murno ML, Clerici M, Biasin M. SARS-CoV-2 natural infection, but not vaccine-induced immunity, elicits cross-reactive immunity to OC43. Heliyon 2024; 10:e37928. [PMID: 39391514 PMCID: PMC11466580 DOI: 10.1016/j.heliyon.2024.e37928] [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: 06/24/2024] [Revised: 09/06/2024] [Accepted: 09/13/2024] [Indexed: 10/12/2024] Open
Abstract
Background The recent SARS-CoV-2 pandemic renewed interest toward other non-severe acute respiratory syndrome human coronaviruses. Among these, OC43 is a seasonal human coronavirus widely diffused in the population (90 % seroprevalence in adults) which is responsible for mild respiratory symptoms. As OC43 protective immunity is short lasting, we investigated whether humoral immunity to SARS-CoV-2, induced by vaccination or spontaneous infection, protects against OC43 re-infection at either systemic or mucosal level. Methods A neutralization assay was conducted against "wild type" SARS-CoV-2 lineage B.1 (EU) and OC43 in VeroE6 cell lines using plasma and saliva samples from 49 subjects who were never infected and received three BNT162b2 RNA vaccine doses (SARS-CoV-2-vaccinated: SV) and from 25 SARS-CoV-2-infected and vaccinated subjects (SIV). The assays were performed right before (T0), fifteen days (T1) and three months (T2) after the third dose administration (SV) or post-infection (SIV). Results After the third vaccination dose was administered, SARS-CoV-2-specific neutralizing activity (NA) significantly augmented in SV saliva (p < 0.05) and plasma (p < 0.0001); yet, this NA was not protective against OC43. Conversely, in SIV, at T1, natural infection significantly increased NA against both SARS-CoV-2 (p < 0.01) and OC43 (p < 0.05) at systemic as well as mucosal level; still, this cross-reactivity vanished at T2. Of note, NA against SARS-CoV-2 and OC43 was shown to be higher in SIV compared to SV in plasma and saliva, as well; though, statistically significant differences were evident only in the oral mucosa at T1 (p < 0.05). Conclusions Our findings show that SARS-CoV-2 spontaneous infection triggers a more comprehensive and cross-reactive immunity than vaccine-induced immunity, protecting against OC43 at the systemic and mucosal levels. These results support the development of a pan-coronavirus vaccine able to prompt cross-reactive immunity even against seasonal coronaviruses, which could have enormous economic and health benefits globally.
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Affiliation(s)
- Micaela Garziano
- Laboratory of Immunobiology, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Mario Cano Fiestas
- Laboratory of Immunobiology, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Claudia Vanetti
- Laboratory of Immunobiology, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Sergio Strizzi
- Laboratory of Immunobiology, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Maria Luisa Murno
- Laboratory of Immunobiology, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Mario Clerici
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Don C. Gnocchi Foundation, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Foundation, Milan, Italy
| | - Mara Biasin
- Laboratory of Immunobiology, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
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4
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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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5
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Zhu K, Song L, Wang L, Hua L, Luo Z, Wang T, Qin B, Yuan S, Gao X, Mi W, Cui S. SARS-CoV-2 ORF10 hijacking ubiquitination machinery reveals potential unique drug targeting sites. Acta Pharm Sin B 2024; 14:4164-4173. [PMID: 39309499 PMCID: PMC11413682 DOI: 10.1016/j.apsb.2024.05.018] [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: 01/21/2024] [Revised: 04/15/2024] [Accepted: 05/09/2024] [Indexed: 09/25/2024] Open
Abstract
Viruses often manipulate ubiquitination pathways to facilitate their replication and pathogenesis. CUL2ZYG11B known as the substrate receptor of cullin-2 RING E3 ligase, is bound by SARS-CoV-2 ORF10 to increase its E3 ligase activity, leading to degradation of IFT46, a protein component of the intraflagellar transport (IFT) complex B. This results in dysfunctional cilia, which explains certain symptoms that are specific to COVID-19. However, the precise molecular mechanism of how ORF10 recognizes CUL2ZYG11B remains unknown. Here, we determined the crystal structure of CUL2ZYG11B complexed with the N-terminal extension (NTE) of SARS-CoV-2 ORF10 (2.9 Å). The structure reveals that the ORF10 N-terminal heptapeptide (NTH) mimics the Gly/N-degron to bind CUL2ZYG11B. Mutagenesis studies identified key residues within ORF10 that are key players in its interaction with CUL2ZYG11B both in ITC assay and in vivo cells. In addition, we prove that enhancement of CUL2ZYG11B activity for IFT46 degradation by which ORF10-mediated correlates with the binding affinity between ORF10 and CUL2ZYG11B. Finally, we used a Global Protein Stability system to show that the NTH of ORF10 mimics the Gly/N-degron motif, thereby binding competitively to CUL2ZYG11B and inhibiting the degradation of target substrates bearing the Gly/N-degron motif. Overall, this study sheds light on how SARS-CoV-2 ORF10 exploits the ubiquitination machinery for proteasomal degradation, and offers valuable insights for optimizing PROTAC-based drug design based on NTH CUL2ZYG11B interaction, while pinpointing a promising target for the development of treatments for COVID-19.
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Affiliation(s)
- Kaixiang Zhu
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing 100730, China
| | - Lili Song
- The Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Medical University General Hospital, Department of Immunology, Tianjin Medical University, Tianjin 300070, China
| | - Linyue Wang
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing 100730, China
| | - Lei Hua
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Medical School, Yan'an University, Shaanxi Province, Yan'an 716000, China
| | - Ziyu Luo
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing 100730, China
| | - Tongyun Wang
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Department of Microbiology, Li Ka Shing, Faculty of Medicine, the University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Bo Qin
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing 100730, China
| | - Shuofeng Yuan
- State Key Laboratory of Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Department of Microbiology, Li Ka Shing, Faculty of Medicine, the University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Xiaopan Gao
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing 100730, China
| | - Wenyi Mi
- The Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Medical University General Hospital, Department of Immunology, Tianjin Medical University, Tianjin 300070, China
| | - Sheng Cui
- NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing 100730, China
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6
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Hoenigsperger H, Sivarajan R, Sparrer KM. Differences and similarities between innate immune evasion strategies of human coronaviruses. Curr Opin Microbiol 2024; 79:102466. [PMID: 38555743 DOI: 10.1016/j.mib.2024.102466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/20/2024] [Accepted: 03/12/2024] [Indexed: 04/02/2024]
Abstract
So far, seven coronaviruses have emerged in humans. Four recurring endemic coronaviruses cause mild respiratory symptoms. Infections with epidemic Middle East respiratory syndrome-related coronavirus or severe acute respiratory syndrome coronavirus (SARS-CoV)-1 are associated with high mortality rates. SARS-CoV-2 is the causative agent of the coronavirus disease 2019 pandemic. To establish an infection, coronaviruses evade restriction by human innate immune defenses, such as the interferon system, autophagy and the inflammasome. Here, we review similar and distinct innate immune manipulation strategies employed by the seven human coronaviruses. We further discuss the impact on pathogenesis, zoonotic emergence and adaptation. Understanding the nature of the interplay between endemic/epidemic/pandemic coronaviruses and host defenses may help to better assess the pandemic potential of emerging coronaviruses.
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Affiliation(s)
- Helene Hoenigsperger
- Institute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany
| | - Rinu Sivarajan
- Institute of Molecular Virology, Ulm University Medical Center, 89081 Ulm, Germany
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7
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Weingarten-Gabbay S, Chen DY, Sarkizova S, Taylor HB, Gentili M, Hernandez GM, Pearlman LR, Bauer MR, Rice CM, Clauser KR, Hacohen N, Carr SA, Abelin JG, Saeed M, Sabeti PC. The HLA-II immunopeptidome of SARS-CoV-2. Cell Rep 2024; 43:113596. [PMID: 38117652 PMCID: PMC10860710 DOI: 10.1016/j.celrep.2023.113596] [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: 05/15/2023] [Revised: 11/08/2023] [Accepted: 12/01/2023] [Indexed: 12/22/2023] Open
Abstract
Targeted synthetic vaccines have the potential to transform our response to viral outbreaks, yet the design of these vaccines requires a comprehensive knowledge of viral immunogens. Here, we report severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) peptides that are naturally processed and loaded onto human leukocyte antigen-II (HLA-II) complexes in infected cells. We identify over 500 unique viral peptides from canonical proteins as well as from overlapping internal open reading frames. Most HLA-II peptides colocalize with known CD4+ T cell epitopes in coronavirus disease 2019 patients, including 2 reported immunodominant regions in the SARS-CoV-2 membrane protein. Overall, our analyses show that HLA-I and HLA-II pathways target distinct viral proteins, with the structural proteins accounting for most of the HLA-II peptidome and nonstructural and noncanonical proteins accounting for the majority of the HLA-I peptidome. These findings highlight the need for a vaccine design that incorporates multiple viral elements harboring CD4+ and CD8+ T cell epitopes to maximize vaccine effectiveness.
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Affiliation(s)
- Shira Weingarten-Gabbay
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA; Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA.
| | - Da-Yuan Chen
- Department of Biochemistry & Cell Biology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | | | - Hannah B Taylor
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
| | - Matteo Gentili
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
| | | | - Leah R Pearlman
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
| | - Matthew R Bauer
- Harvard Program in Biological and Biomedical Sciences, Division of Medical Sciences, Harvard University Medical School, Boston, MA, USA
| | - Charles M Rice
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA
| | - Karl R Clauser
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
| | - Nir Hacohen
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
| | - Steven A Carr
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
| | | | - Mohsan Saeed
- Department of Biochemistry & Cell Biology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Pardis C Sabeti
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA; Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA; Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA
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8
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Müller M, Herrmann A, Fujita S, Uriu K, Kruth C, Strange A, Kolberg JE, Schneider M, Ito J, Müller MA, Drosten C, Ensser A, The Genotype to Phenotype Japan (G2P‐Japan) Consortium, Sato K, Sauter D. ORF3c is expressed in SARS-CoV-2-infected cells and inhibits innate sensing by targeting MAVS. EMBO Rep 2023; 24:e57137. [PMID: 37870297 PMCID: PMC10702836 DOI: 10.15252/embr.202357137] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 10/24/2023] Open
Abstract
Most SARS-CoV-2 proteins are translated from subgenomic RNAs (sgRNAs). While the majority of these sgRNAs are monocistronic, some viral mRNAs encode more than one protein. One example is the ORF3a sgRNA that also encodes ORF3c, an enigmatic 41-amino-acid peptide. Here, we show that ORF3c is expressed in SARS-CoV-2-infected cells and suppresses RIG-I- and MDA5-mediated IFN-β induction. ORF3c interacts with the signaling adaptor MAVS, induces its C-terminal cleavage, and inhibits the interaction of RIG-I with MAVS. The immunosuppressive activity of ORF3c is conserved among members of the subgenus sarbecovirus, including SARS-CoV and coronaviruses isolated from bats. Notably, however, the SARS-CoV-2 delta and kappa variants harbor premature stop codons in ORF3c, demonstrating that this reading frame is not essential for efficient viral replication in vivo and is likely compensated by other viral proteins. In agreement with this, disruption of ORF3c does not significantly affect SARS-CoV-2 replication in CaCo-2, CaLu-3, or Rhinolophus alcyone cells. In summary, we here identify ORF3c as an immune evasion factor of SARS-CoV-2 that suppresses innate sensing in infected cells.
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Affiliation(s)
- Martin Müller
- Institute for Medical Virology and Epidemiology of Viral DiseasesUniversity Hospital TübingenTübingenGermany
| | - Alexandra Herrmann
- Institute for Clinical and Molecular VirologyUniversity Hospital, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
| | - Shigeru Fujita
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical ScienceThe University of TokyoTokyoJapan
- Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Keiya Uriu
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical ScienceThe University of TokyoTokyoJapan
- Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Carolin Kruth
- Institute for Medical Virology and Epidemiology of Viral DiseasesUniversity Hospital TübingenTübingenGermany
| | - Adam Strange
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical ScienceThe University of TokyoTokyoJapan
| | - Jan E Kolberg
- Institute for Medical Virology and Epidemiology of Viral DiseasesUniversity Hospital TübingenTübingenGermany
| | - Markus Schneider
- Institute for Medical Virology and Epidemiology of Viral DiseasesUniversity Hospital TübingenTübingenGermany
| | - Jumpei Ito
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical ScienceThe University of TokyoTokyoJapan
| | - Marcel A Müller
- Institute of VirologyCharité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Christian Drosten
- Institute of VirologyCharité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Armin Ensser
- Institute for Clinical and Molecular VirologyUniversity Hospital, Friedrich‐Alexander‐Universität Erlangen‐NürnbergErlangenGermany
| | | | - Kei Sato
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical ScienceThe University of TokyoTokyoJapan
- Institute of VirologyCharité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
- International Research Center for Infectious Diseases, The Institute of Medical ScienceThe University of TokyoTokyoJapan
- International Vaccine Design Center, The Institute of Medical ScienceThe University of TokyoTokyoJapan
- Graduate School of Frontier SciencesThe University of TokyoChibaJapan
- CREST, Japan Science and Technology AgencySaitamaJapan
| | - Daniel Sauter
- Institute for Medical Virology and Epidemiology of Viral DiseasesUniversity Hospital TübingenTübingenGermany
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical ScienceThe University of TokyoTokyoJapan
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9
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Haltom J, Trovao NS, Guarnieri J, Vincent P, Singh U, Tsoy S, O'Leary CA, Bram Y, Widjaja GA, Cen Z, Meller R, Baylin SB, Moss WN, Nikolau BJ, Enguita FJ, Wallace DC, Beheshti A, Schwartz R, Wurtele ES. SARS-CoV-2 Orphan Gene ORF10 Contributes to More Severe COVID-19 Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.27.23298847. [PMID: 38076862 PMCID: PMC10705665 DOI: 10.1101/2023.11.27.23298847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
The orphan gene of SARS-CoV-2, ORF10, is the least studied gene in the virus responsible for the COVID-19 pandemic. Recent experimentation indicated ORF10 expression moderates innate immunity in vitro. However, whether ORF10 affects COVID-19 in humans remained unknown. We determine that the ORF10 sequence is identical to the Wuhan-Hu-1 ancestral haplotype in 95% of genomes across five variants of concern (VOC). Four ORF10 variants are associated with less virulent clinical outcomes in the human host: three of these affect ORF10 protein structure, one affects ORF10 RNA structural dynamics. RNA-Seq data from 2070 samples from diverse human cells and tissues reveals ORF10 accumulation is conditionally discordant from that of other SARS-CoV-2 transcripts. Expression of ORF10 in A549 and HEK293 cells perturbs immune-related gene expression networks, alters expression of the majority of mitochondrially-encoded genes of oxidative respiration, and leads to large shifts in levels of 14 newly-identified transcripts. We conclude ORF10 contributes to more severe COVID-19 clinical outcomes in the human host.
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Affiliation(s)
- Jeffrey Haltom
- Department of Genetics Development and Cell Biology, Iowa State University, Ames, IA 50011, USA
- Center for Mitochondrial and Epigenomic Medicine, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Nidia S Trovao
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, 20892, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Joseph Guarnieri
- Center for Mitochondrial and Epigenomic Medicine, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Pan Vincent
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, 20892, USA
| | - Urminder Singh
- Bioinformatics and Computational Biology Program, and Genetics Program, Iowa State University, Ames, IA 50011, USA
| | - Sergey Tsoy
- Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Collin A O'Leary
- Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA 50011, USA
| | - Yaron Bram
- Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Gabrielle A Widjaja
- Center for Mitochondrial and Epigenomic Medicine, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Zimu Cen
- Center for Mitochondrial and Epigenomic Medicine, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Robert Meller
- Morehouse School of Medicine, Atlanta, GA , 30310-1495, USA
| | - Stephen B Baylin
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD 21231
- Van Andel Research Institute, Grand Rapids, MI 49503
| | - Walter N Moss
- Bioinformatics and Computational Biology Program, and Genetics Program, Iowa State University, Ames, IA 50011, USA
- Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA 50011, USA
| | - Basil J Nikolau
- Bioinformatics and Computational Biology Program, and Genetics Program, Iowa State University, Ames, IA 50011, USA
- Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA 50011, USA
| | - Francisco J Enguita
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - Douglas C Wallace
- Center for Mitochondrial and Epigenomic Medicine, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, Division of Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Afshin Beheshti
- COVID-19 International Research Team, Medford, MA 02155, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Blue Marble Space Institute of Science, Seattle, WA, 98104 USA
| | - Robert Schwartz
- Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- Department of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Eve Syrkin Wurtele
- Bioinformatics and Computational Biology Program, and Genetics Program, Iowa State University, Ames, IA 50011, USA
- Department of Genetics Development and Cell Biology, Iowa State University, Ames, IA 50011, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
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10
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Stewart H, Lu Y, O’Keefe S, Valpadashi A, Cruz-Zaragoza LD, Michel HA, Nguyen SK, Carnell GW, Lukhovitskaya N, Milligan R, Adewusi Y, Jungreis I, Lulla V, Matthews DA, High S, Rehling P, Emmott E, Heeney JL, Davidson AD, Edgar JR, Smith GL, Firth AE. The SARS-CoV-2 protein ORF3c is a mitochondrial modulator of innate immunity. iScience 2023; 26:108080. [PMID: 37860693 PMCID: PMC10583119 DOI: 10.1016/j.isci.2023.108080] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 08/06/2023] [Accepted: 09/25/2023] [Indexed: 10/21/2023] Open
Abstract
The SARS-CoV-2 genome encodes a multitude of accessory proteins. Using comparative genomic approaches, an additional accessory protein, ORF3c, has been predicted to be encoded within the ORF3a sgmRNA. Expression of ORF3c during infection has been confirmed independently by ribosome profiling. Despite ORF3c also being present in the 2002-2003 SARS-CoV, its function has remained unexplored. Here we show that ORF3c localizes to mitochondria, where it inhibits innate immunity by restricting IFN-β production, but not NF-κB activation or JAK-STAT signaling downstream of type I IFN stimulation. We find that ORF3c is inhibitory after stimulation with cytoplasmic RNA helicases RIG-I or MDA5 or adaptor protein MAVS, but not after TRIF, TBK1 or phospho-IRF3 stimulation. ORF3c co-immunoprecipitates with the antiviral proteins MAVS and PGAM5 and induces MAVS cleavage by caspase-3. Together, these data provide insight into an uncharacterized mechanism of innate immune evasion by this important human pathogen.
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Affiliation(s)
- Hazel Stewart
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Yongxu Lu
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Sarah O’Keefe
- Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Anusha Valpadashi
- Department of Cellular Biochemistry, University Medical Center Göttingen, Göttingen, Germany
| | | | | | | | - George W. Carnell
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | | | - Rachel Milligan
- School of Cellular and Molecular Medicine, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | - Yasmin Adewusi
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Irwin Jungreis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
| | - Valeria Lulla
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - David A. Matthews
- School of Cellular and Molecular Medicine, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | - Stephen High
- Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Peter Rehling
- Department of Cellular Biochemistry, University Medical Center Göttingen, Göttingen, Germany
| | - Edward Emmott
- Centre for Proteome Research, Department of Biochemistry & Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Jonathan L. Heeney
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Andrew D. Davidson
- School of Cellular and Molecular Medicine, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | - James R. Edgar
- Department of Pathology, University of Cambridge, Cambridge, UK
| | | | - Andrew E. Firth
- Department of Pathology, University of Cambridge, Cambridge, UK
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11
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Islam MA, Marzan AA, Arman MS, Shahi S, Sakif TI, Hossain M, Islam T, Hoque MN. Some common deleterious mutations are shared in SARS-CoV-2 genomes from deceased COVID-19 patients across continents. Sci Rep 2023; 13:18644. [PMID: 37903828 PMCID: PMC10616235 DOI: 10.1038/s41598-023-45517-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 10/20/2023] [Indexed: 11/01/2023] Open
Abstract
The identification of deleterious mutations in different variants of SARS-CoV-2 and their roles in the morbidity of COVID-19 patients has yet to be thoroughly investigated. To unravel the spectrum of mutations and their effects within SARS-CoV-2 genomes, we analyzed 5,724 complete genomes from deceased COVID-19 patients sourced from the GISAID database. This analysis was conducted using the Nextstrain platform, applying a generalized time-reversible model for evolutionary phylogeny. These genomes were compared to the reference strain (hCoV-19/Wuhan/WIV04/2019) using MAFFT v7.470. Our findings revealed that SARS-CoV-2 genomes from deceased individuals belonged to 21 Nextstrain clades, with clade 20I (Alpha variant) being the most predominant, followed by clade 20H (Beta variant) and clade 20J (Gamma variant). The majority of SARS-CoV-2 genomes from deceased patients (33.4%) were sequenced in North America, while the lowest percentage (0.98%) came from Africa. The 'G' clade was dominant in the SARS-CoV-2 genomes of Asian, African, and North American regions, while the 'GRY' clade prevailed in Europe. In our analysis, we identified 35,799 nucleotide (NT) mutations throughout the genome, with the highest frequency (11,402 occurrences) found in the spike protein. Notably, we observed 4150 point-specific amino acid (AA) mutations in SARS-CoV-2 genomes, with D614G (20%) and N501Y (14%) identified as the top two deleterious mutations in the spike protein on a global scale. Furthermore, we detected five common deleterious AA mutations, including G18V, W45S, I33T, P30L, and Q418H, which play a key role in defining each clade of SARS-CoV-2. Our novel findings hold potential value for genomic surveillance, enabling the monitoring of the evolving pattern of SARS-CoV-2 infection, its emerging variants, and their impact on the development of effective vaccination and control strategies.
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Affiliation(s)
- Md Aminul Islam
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, 2310, Bangladesh.
- COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
| | - Abdullah Al Marzan
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, 2310, Bangladesh
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Md Sakil Arman
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Shatila Shahi
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Tahsin Islam Sakif
- Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, 26506-6109, USA
| | - Maqsud Hossain
- University of Nottingham, Sutton Bonington Campus, LE12 5RD, Loughborough, NG7 2RD, Leicestershire, UK
| | - Tofazzal Islam
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh.
| | - M Nazmul Hoque
- Molecular Biology and Bioinformatics Laboratory, Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, 1706, Bangladesh.
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12
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Mozzi A, Oldani M, Forcella ME, Vantaggiato C, Cappelletti G, Pontremoli C, Valenti F, Forni D, Saresella M, Biasin M, Sironi M, Fusi P, Cagliani R. SARS-CoV-2 ORF3c impairs mitochondrial respiratory metabolism, oxidative stress, and autophagic flux. iScience 2023; 26:107118. [PMID: 37361873 PMCID: PMC10265927 DOI: 10.1016/j.isci.2023.107118] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 05/08/2023] [Accepted: 06/09/2023] [Indexed: 06/28/2023] Open
Abstract
Coronaviruses encode a variable number of accessory proteins that are involved in host-virus interaction, suppression of immune responses, or immune evasion. SARS-CoV-2 encodes at least twelve accessory proteins, whose roles during infection have been studied. Nevertheless, the role of the ORF3c accessory protein, an alternative open reading frame of ORF3a, has remained elusive. Herein, we show that the ORF3c protein has a mitochondrial localization and alters mitochondrial metabolism, inducing a shift from glucose to fatty acids oxidation and enhanced oxidative phosphorylation. These effects result in increased ROS production and block of the autophagic flux. In particular, ORF3c affects lysosomal acidification, blocking the normal autophagic degradation process and leading to autolysosome accumulation. We also observed different effect on autophagy for SARS-CoV-2 and batCoV RaTG13 ORF3c proteins; the 36R and 40K sites are necessary and sufficient to determine these effects.
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Affiliation(s)
- Alessandra Mozzi
- Scientific Institute IRCCS E. MEDEA, Bioinformatics, 23842 Bosisio Parini, Italy
| | - Monica Oldani
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, 20126 Milano, Italy
| | - Matilde E. Forcella
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, 20126 Milano, Italy
| | - Chiara Vantaggiato
- Scientific Institute IRCCS E. MEDEA, Laboratory of Molecular Biology, 23842 Bosisio Parini, Italy
| | - Gioia Cappelletti
- Department of Biomedical and Clinical Sciences "L. Sacco", University of Milan, 20157 Milan, Italy
| | - Chiara Pontremoli
- Scientific Institute IRCCS E. MEDEA, Bioinformatics, 23842 Bosisio Parini, Italy
| | - Francesca Valenti
- Scientific Institute IRCCS E. MEDEA, Bioinformatics, 23842 Bosisio Parini, Italy
| | - Diego Forni
- Scientific Institute IRCCS E. MEDEA, Bioinformatics, 23842 Bosisio Parini, Italy
| | - Marina Saresella
- Don C. Gnocchi Foundation ONLUS, IRCCS, Laboratory of Molecular Medicine and Biotechnology, 20148 Milan, Italy
| | - Mara Biasin
- Department of Biomedical and Clinical Sciences "L. Sacco", University of Milan, 20157 Milan, Italy
| | - Manuela Sironi
- Scientific Institute IRCCS E. MEDEA, Bioinformatics, 23842 Bosisio Parini, Italy
| | - Paola Fusi
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, 20126 Milano, Italy
| | - Rachele Cagliani
- Scientific Institute IRCCS E. MEDEA, Bioinformatics, 23842 Bosisio Parini, Italy
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13
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von Delft A, Hall MD, Kwong AD, Purcell LA, Saikatendu KS, Schmitz U, Tallarico JA, Lee AA. Accelerating antiviral drug discovery: lessons from COVID-19. Nat Rev Drug Discov 2023; 22:585-603. [PMID: 37173515 PMCID: PMC10176316 DOI: 10.1038/s41573-023-00692-8] [Citation(s) in RCA: 81] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2023] [Indexed: 05/15/2023]
Abstract
During the coronavirus disease 2019 (COVID-19) pandemic, a wave of rapid and collaborative drug discovery efforts took place in academia and industry, culminating in several therapeutics being discovered, approved and deployed in a 2-year time frame. This article summarizes the collective experience of several pharmaceutical companies and academic collaborations that were active in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antiviral discovery. We outline our opinions and experiences on key stages in the small-molecule drug discovery process: target selection, medicinal chemistry, antiviral assays, animal efficacy and attempts to pre-empt resistance. We propose strategies that could accelerate future efforts and argue that a key bottleneck is the lack of quality chemical probes around understudied viral targets, which would serve as a starting point for drug discovery. Considering the small size of the viral proteome, comprehensively building an arsenal of probes for proteins in viruses of pandemic concern is a worthwhile and tractable challenge for the community.
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Affiliation(s)
- Annette von Delft
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Oxford Biomedical Research Centre, National Institute for Health Research, University of Oxford, Oxford, UK.
| | - Matthew D Hall
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA
| | | | | | | | | | | | - Alpha A Lee
- PostEra, Inc., Cambridge, MA, USA.
- Cavendish Laboratory, University of Cambridge, Cambridge, UK.
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14
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Weingarten-Gabbay S, Chen DY, Sarkizova S, Taylor HB, Gentili M, Pearlman LR, Bauer MR, Rice CM, Clauser KR, Hacohen N, Carr SA, Abelin JG, Saeed M, Sabeti PC. The HLA-II immunopeptidome of SARS-CoV-2. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.26.542482. [PMID: 37398281 PMCID: PMC10312465 DOI: 10.1101/2023.05.26.542482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Targeted synthetic vaccines have the potential to transform our response to viral outbreaks; yet the design of these vaccines requires a comprehensive knowledge of viral immunogens, including T-cell epitopes. Having previously mapped the SARS-CoV-2 HLA-I landscape, here we report viral peptides that are naturally processed and loaded onto HLA-II complexes in infected cells. We identified over 500 unique viral peptides from canonical proteins, as well as from overlapping internal open reading frames (ORFs), revealing, for the first time, the contribution of internal ORFs to the HLA-II peptide repertoire. Most HLA-II peptides co-localized with the known CD4+ T cell epitopes in COVID-19 patients. We also observed that two reported immunodominant regions in the SARS-CoV-2 membrane protein are formed at the level of HLA-II presentation. Overall, our analyses show that HLA-I and HLA-II pathways target distinct viral proteins, with the structural proteins accounting for most of the HLA-II peptidome and non-structural and non-canonical proteins accounting for the majority of the HLA-I peptidome. These findings highlight the need for a vaccine design that incorporates multiple viral elements harboring CD4+ and CD8+ T cell epitopes to maximize the vaccine effectiveness.
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15
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Amyloidogenic proteins in the SARS-CoV and SARS-CoV-2 proteomes. Nat Commun 2023; 14:945. [PMID: 36806058 PMCID: PMC9940680 DOI: 10.1038/s41467-023-36234-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 01/20/2023] [Indexed: 02/22/2023] Open
Abstract
The phenomenon of protein aggregation is associated with a wide range of human diseases. Our knowledge of the aggregation behaviour of viral proteins, however, is still rather limited. Here, we investigated this behaviour in the SARS-CoV and SARS-CoV-2 proteomes. An initial analysis using a panel of sequence-based predictors suggested the presence of multiple aggregation-prone regions (APRs) in these proteomes and revealed a strong aggregation propensity in some SARS-CoV-2 proteins. We then studied the in vitro aggregation of predicted aggregation-prone SARS-CoV and SARS-CoV-2 proteins and protein regions, including the signal sequence peptide and fusion peptides 1 and 2 of the spike protein, a peptide from the NSP6 protein, and the ORF10 and NSP11 proteins. Our results show that these peptides and proteins can form amyloid aggregates. We used circular dichroism spectroscopy to reveal the presence of β-sheet rich cores in aggregates and X-ray diffraction and Raman spectroscopy to confirm the formation of amyloid structures. Furthermore, we demonstrated that SARS-CoV-2 NSP11 aggregates are toxic to mammalian cell cultures. These results motivate further studies about the possible role of aggregation of SARS proteins in protein misfolding diseases and other human conditions.
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16
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Panzera Y, Mirazo S, Baz M, Techera C, Grecco S, Cancela F, Fuques E, Condon E, Calleros L, Camilo N, Fregossi A, Vaz I, Pessina P, Deshpande N, Pérez R, Benech A. Detection and genome characterisation of SARS-CoV-2 P.6 lineage in dogs and cats living with Uruguayan COVID-19 patients. Mem Inst Oswaldo Cruz 2023; 117:e220177. [PMID: 36651456 PMCID: PMC9870267 DOI: 10.1590/0074-02760220177] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 11/07/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in domestic animals have occurred from the beginning of the pandemic to the present time. Therefore, from the perspective of One Health, investigating this topic is of global scientific and public interest. OBJECTIVES The present study aimed to determine the presence of SARS-CoV-2 in domestic animals whose owners had coronavirus disease 2019 (COVID-19). METHODS Nasopharyngeal and faecal samples were collected in Uruguay. Using quantitative polymerase chain reaction (qPCR), we analysed the presence of the SARS-CoV-2 genome. Complete genomes were obtained using ARTIC enrichment and Illumina sequencing. Sera samples were used for virus neutralisation assays. FINDINGS SARS-CoV-2 was detected in an asymptomatic dog and a cat. Viral genomes were identical and belonged to the P.6 Uruguayan SARS-CoV-2 lineage. Only antiserum from the infected cat contained neutralising antibodies against the ancestral SARS-CoV-2 strain and showed cross-reactivity against the Delta but not against the B.A.1 Omicron variant. MAIN CONCLUSIONS Domestic animals and the human SARS-CoV-2 P.6 variant comparison evidence a close relationship and gene flow between them. Different SARS-CoV-2 lineages infect dogs and cats, and no specific variants are adapted to domestic animals. This first record of SARS-CoV-2 in domestic animals from Uruguay supports regular surveillance of animals close to human hosts.
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Affiliation(s)
- Yanina Panzera
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay,+ Corresponding author:
| | - Santiago Mirazo
- Universidad de la República, Facultad de Ciencias, Sección Virología, Montevideo, Uruguay,Universidad de la República, Facultad de Medicina, Instituto de Higiene, Departamento de Bacteriología y Virología, Montevideo, Uruguay
| | - Mariana Baz
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute, Melbourne, Victoria, Australia
| | - Claudia Techera
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Sofía Grecco
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Florencia Cancela
- Universidad de la República, Facultad de Ciencias, Sección Virología, Montevideo, Uruguay
| | - Eddie Fuques
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Emma Condon
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Lucía Calleros
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Natalia Camilo
- Universidad de la República, Facultad de Veterinaria, Unidad de Clínica y Hospital Veterinario, Montevideo, Uruguay
| | - Andrea Fregossi
- Universidad de la República, Facultad de Veterinaria, Unidad de Clínica y Hospital Veterinario, Montevideo, Uruguay
| | - Inés Vaz
- Universidad de la República, Facultad de Veterinaria, Unidad de Clínica y Hospital Veterinario, Montevideo, Uruguay
| | - Paula Pessina
- Universidad de la República, Facultad de Veterinaria, Laboratorio Clínico del Hospital Veterinario, Montevideo, Uruguay
| | - Nikita Deshpande
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute, Melbourne, Victoria, Australia
| | - Ruben Pérez
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Alejandro Benech
- Universidad de la República, Facultad de Veterinaria, Unidad de Clínica y Hospital Veterinario, Montevideo, Uruguay
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17
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Rana V, Chien E, Peng J, Milenkovic O. Small-Sample Estimation of the Mutational Support and Distribution of SARS-CoV-2. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2023; 20:668-682. [PMID: 35385386 PMCID: PMC10009811 DOI: 10.1109/tcbb.2022.3165395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
We consider the problem of determining the mutational support and distribution of the SARS-CoV-2 viral genome in the small-sample regime. The mutational support refers to the unknown number of sites that may eventually mutate in the SARS-CoV-2 genome while mutational distribution refers to the distribution of point mutations in the viral genome across a population. The mutational support may be used to assess the virulence of the virus and guide primer selection for real-time RT-PCR testing. Estimating the distribution of mutations in the genome of different subpopulations while accounting for the unseen may also aid in discovering new variants. To estimate the mutational support in the small-sample regime, we use GISAID sequencing data and our state-of-the-art polynomial estimation techniques based on new weighted and regularized Chebyshev approximation methods. For distribution estimation, we adapt the well-known Good-Turing estimator. Our analysis reveals several findings: First, the mutational supports exhibit significant differences in the ORF6 and ORF7a regions (older versus younger patients), ORF1b and ORF10 regions (females versus males) and in almost all ORFs (Asia/Europe/North America). Second, even though the N region of SARS-CoV-2 has a predicted 10% mutational support, mutations fall outside of the primer regions recommended by the CDC.
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18
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Koifman MO, Malyasova AS, Romanenko YV, Yurina ES, Lebedeva NS, Gubarev YA, Koifman OI. Spectral and theoretical study of SARS-CoV-2 ORF10 protein interaction with endogenous and exogenous macroheterocyclic compounds. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 279:121403. [PMID: 35617836 PMCID: PMC9113648 DOI: 10.1016/j.saa.2022.121403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/13/2022] [Accepted: 05/15/2022] [Indexed: 06/15/2023]
Abstract
The coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 coronavirus has spread rapidly around the world in a matter of weeks. Most of the current recommendations developed for the use of antivirals in COVID-19 were developed during the initial waves of the pandemic, when resources were limited and administrative or pragmatic criteria took precedence. The choice of drugs for the treatment of COVID-19 was carried out from drugs approved for medical use. COVID-19 is a serious public health problem and the search for drugs that can relieve the disease in infected patients at various stages is still necessary. Therefore, the search for effective drugs with inhibitory and/or virucidal activity is a paramount task. Accessory proteins of the virus play a significant role in the pathogenesis of the disease, as they modulate the host's immune response. This paper studied the interaction of one of the SARS-CoV-2 accessory proteins ORF10 with macroheterocyclic compounds - protoporphyrin IX d.m.e., Fe(III)protoporphyrin d.m.e. and 5,10,15,20-tetrakis(3'-pyridyl)chlorin tetraiodide, which are potential inhibitors and virucidal agents. The SARS-CoV-2 ORF10 protein shows the highest affinity for Chlorin, which binds hydrophobically to the alpha structured region of the protein. Protoporphyrin is able to form several complexes with ORF10 close in energy, with alpha- and beta-molecular recognition features, while Fe(III)protoporphyrin forms complexes with the orientation of the porphyrin macrocycle parallel to the ORF10 alpha-helix. Taking into account the nature of the interaction with ORF10, it has been suggested that Chlorin may have virucidal activity upon photoexposure. The SARS-CoV-2 ORF10 protein was expressed in Escherichia coli cells, macroheterocyclic compounds were synthesized, and the structure was confirmed. The interaction between macrocycles with ORF10 was studied by spectral methods. The results of in silico studies were confirmed by experimental data.
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Affiliation(s)
- M O Koifman
- Ivanovo State University of Chemistry and Technology, 153000 Ivanovo, Russia; G.A. Krestov Institute of Solution Chemistry of the Russian Academy of Sciences, 153045 Ivanovo, Russia
| | - A S Malyasova
- Ivanovo State University of Chemistry and Technology, 153000 Ivanovo, Russia
| | - Yu V Romanenko
- Ivanovo State University of Chemistry and Technology, 153000 Ivanovo, Russia
| | - E S Yurina
- G.A. Krestov Institute of Solution Chemistry of the Russian Academy of Sciences, 153045 Ivanovo, Russia
| | - N Sh Lebedeva
- G.A. Krestov Institute of Solution Chemistry of the Russian Academy of Sciences, 153045 Ivanovo, Russia
| | - Yu A Gubarev
- G.A. Krestov Institute of Solution Chemistry of the Russian Academy of Sciences, 153045 Ivanovo, Russia.
| | - O I Koifman
- Ivanovo State University of Chemistry and Technology, 153000 Ivanovo, Russia; G.A. Krestov Institute of Solution Chemistry of the Russian Academy of Sciences, 153045 Ivanovo, Russia
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19
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Lessons Learned and Yet-to-Be Learned on the Importance of RNA Structure in SARS-CoV-2 Replication. Microbiol Mol Biol Rev 2022; 86:e0005721. [PMID: 35862724 PMCID: PMC9491204 DOI: 10.1128/mmbr.00057-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
SARS-CoV-2, the etiological agent responsible for the COVID-19 pandemic, is a member of the virus family Coronaviridae, known for relatively extensive (~30-kb) RNA genomes that not only encode for numerous proteins but are also capable of forming elaborate structures. As highlighted in this review, these structures perform critical functions in various steps of the viral life cycle, ultimately impacting pathogenesis and transmissibility. We examine these elements in the context of coronavirus evolutionary history and future directions for curbing the spread of SARS-CoV-2 and other potential human coronaviruses. While we focus on structures supported by a variety of biochemical, biophysical, and/or computational methods, we also touch here on recent evidence for novel structures in both protein-coding and noncoding regions of the genome, including an assessment of the potential role for RNA structure in the controversial finding of SARS-CoV-2 integration in “long COVID” patients. This review aims to serve as a consolidation of previous works on coronavirus and more recent investigation of SARS-CoV-2, emphasizing the need for improved understanding of the role of RNA structure in the evolution and adaptation of these human viruses.
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20
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Wang L, Liu C, Yang B, Zhang H, Jiao J, Zhang R, Liu S, Xiao S, Chen Y, Liu B, Ma Y, Duan X, Guo Y, Guo M, Wu B, Wang X, Huang X, Yang H, Gui Y, Fang M, Zhang L, Duo S, Guo X, Li W. SARS-CoV-2 ORF10 impairs cilia by enhancing CUL2ZYG11B activity. J Biophys Biochem Cytol 2022; 221:213272. [PMID: 35674692 PMCID: PMC9184850 DOI: 10.1083/jcb.202108015] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 03/02/2022] [Accepted: 04/27/2022] [Indexed: 12/13/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causal pathogen of the ongoing global pandemic of coronavirus disease 2019 (COVID-19). Loss of smell and taste are symptoms of COVID-19, and may be related to cilia dysfunction. Here, we found that the SARS-CoV-2 ORF10 increases the overall E3 ligase activity of the CUL2ZYG11B complex by interacting with ZYG11B. Enhanced CUL2ZYG11B activity by ORF10 causes increased ubiquitination and subsequent proteasome-mediated degradation of an intraflagellar transport (IFT) complex B protein, IFT46, thereby impairing both cilia biogenesis and maintenance. Further, we show that exposure of the respiratory tract of hACE2 mice to SARS-CoV-2 or SARS-CoV-2 ORF10 alone results in cilia-dysfunction-related phenotypes, and the ORF10 expression in primary human nasal epithelial cells (HNECs) also caused a rapid loss of the ciliary layer. Our study demonstrates how SARS-CoV-2 ORF10 hijacks CUL2ZYG11B to eliminate IFT46 and leads to cilia dysfunction, thereby offering a powerful etiopathological explanation for how SARS-CoV-2 causes multiple cilia-dysfunction-related symptoms specific to COVID-19.
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Affiliation(s)
- Liying Wang
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China 1
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Stem Cell and Regenerative Medicine Innovation Institute, Chinese Academy of Sciences, Beijing, China 4
| | - Chao Liu
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China 1
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Stem Cell and Regenerative Medicine Innovation Institute, Chinese Academy of Sciences, Beijing, China 4
| | - Bo Yang
- Guangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Institute of Urology, Peking University Shenzhen Hospital, Shenzhen PKU-HKUST Medical Center, Shenzhen, China 5
| | - Haotian Zhang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China 2
| | - Jian Jiao
- Department of Otolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Beijing, China 9
- Beijing Key Laboratory of Nasal Diseases, Beijing Institute of Otolaryngology, Beijing, China 10
| | - Ruidan Zhang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Stem Cell and Regenerative Medicine Innovation Institute, Chinese Academy of Sciences, Beijing, China 4
| | - Shujun Liu
- Laboratory Animal Center, Institute of Zoology, Chinese Academy of Sciences, Beijing, China 3
| | - Sai Xiao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Stem Cell and Regenerative Medicine Innovation Institute, Chinese Academy of Sciences, Beijing, China 4
| | - Yinghong Chen
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China 1
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Stem Cell and Regenerative Medicine Innovation Institute, Chinese Academy of Sciences, Beijing, China 4
| | - Bo Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Stem Cell and Regenerative Medicine Innovation Institute, Chinese Academy of Sciences, Beijing, China 4
| | - Yanjie Ma
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China 1
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Stem Cell and Regenerative Medicine Innovation Institute, Chinese Academy of Sciences, Beijing, China 4
| | - Xuefeng Duan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China 6
| | - Yueshuai Guo
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China 2
| | - Mengmeng Guo
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China 1
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Stem Cell and Regenerative Medicine Innovation Institute, Chinese Academy of Sciences, Beijing, China 4
| | - Bingbing Wu
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China 1
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Stem Cell and Regenerative Medicine Innovation Institute, Chinese Academy of Sciences, Beijing, China 4
| | - Xiangdong Wang
- Department of Otolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Beijing, China 9
- Beijing Key Laboratory of Nasal Diseases, Beijing Institute of Otolaryngology, Beijing, China 10
| | - Xingxu Huang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China 8
| | - Haitao Yang
- Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology, ShanghaiTech University, Shanghai, China 7
| | - Yaoting Gui
- Guangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Institute of Urology, Peking University Shenzhen Hospital, Shenzhen PKU-HKUST Medical Center, Shenzhen, China 5
| | - Min Fang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China 6
| | - Luo Zhang
- Department of Otolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Beijing, China 9
- Beijing Key Laboratory of Nasal Diseases, Beijing Institute of Otolaryngology, Beijing, China 10
| | - Shuguang Duo
- Laboratory Animal Center, Institute of Zoology, Chinese Academy of Sciences, Beijing, China 3
| | - Xuejiang Guo
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, China 2
| | - Wei Li
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China 1
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Stem Cell and Regenerative Medicine Innovation Institute, Chinese Academy of Sciences, Beijing, China 4
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21
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Forni D, Cagliani R, Molteni C, Arrigoni F, Mozzi A, Clerici M, De Gioia L, Sironi M. Homology-based classification of accessory proteins in coronavirus genomes uncovers extremely dynamic evolution of gene content. Mol Ecol 2022; 31:3672-3692. [PMID: 35575901 PMCID: PMC9328142 DOI: 10.1111/mec.16531] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/21/2022] [Accepted: 05/12/2022] [Indexed: 11/30/2022]
Abstract
Coronaviruses (CoVs) have complex genomes that encode a fixed array of structural and nonstructural components, as well as a variety of accessory proteins that differ even among closely related viruses. Accessory proteins often play a role in the suppression of immune responses and may represent virulence factors. Despite their relevance for CoV phenotypic variability, information on accessory proteins is fragmentary. We applied a systematic approach based on homology detection to create a comprehensive catalogue of accessory proteins encoded by CoVs. Our analyses grouped accessory proteins into 379 orthogroups and 12 super‐groups. No orthogroup was shared by the four CoV genera and very few were present in all or most viruses in the same genus, reflecting the dynamic evolution of CoV genomes. We observed differences in the distribution of accessory proteins in CoV genera. Alphacoronaviruses harboured the largest diversity of accessory open reading frames (ORFs), deltacoronaviruses the smallest. However, the average number of accessory proteins per genome was highest in betacoronaviruses. Analysis of the evolutionary history of some orthogroups indicated that the different CoV genera adopted similar evolutionary strategies. Thus, alphacoronaviruses and betacoronaviruses acquired phosphodiesterases and spike‐like accessory proteins independently, whereas horizontal gene transfer from reoviruses endowed betacoronaviruses and deltacoronaviruses with fusion‐associated small transmembrane (FAST) proteins. Finally, analysis of accessory ORFs in annotated CoV genomes indicated ambiguity in their naming. This complicates cross‐communication among researchers and hinders automated searches of large data sets (e.g., PubMed, GenBank). We suggest that orthogroup membership is used together with a naming system to provide information on protein function.
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Affiliation(s)
- Diego Forni
- Scientific Institute IRCCS E. MEDEA, Bioinformatics, Bosisio Parini, Italy
| | - Rachele Cagliani
- Scientific Institute IRCCS E. MEDEA, Bioinformatics, Bosisio Parini, Italy
| | - Cristian Molteni
- Scientific Institute IRCCS E. MEDEA, Bioinformatics, Bosisio Parini, Italy
| | - Federica Arrigoni
- Department of Biotechnology and Biosciences, University of Milan-Bicocca, Milan, Italy
| | - Alessandra Mozzi
- Scientific Institute IRCCS E. MEDEA, Bioinformatics, Bosisio Parini, Italy
| | - Mario Clerici
- Department of Physiopathology and Transplantation, University of Milan, Milan, Italy.,Don C. Gnocchi Foundation ONLUS, IRCCS, Milan, Italy
| | - Luca De Gioia
- Department of Biotechnology and Biosciences, University of Milan-Bicocca, Milan, Italy
| | - Manuela Sironi
- Scientific Institute IRCCS E. MEDEA, Bioinformatics, Bosisio Parini, Italy
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22
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Hassan SS, Choudhury PP, Dayhoff GW, Aljabali AAA, Uhal BD, Lundstrom K, Rezaei N, Pizzol D, Adadi P, Lal A, Soares A, Mohamed Abd El-Aziz T, Brufsky AM, Azad GK, Sherchan SP, Baetas-da-Cruz W, Takayama K, Serrano-Aroca Ã, Chauhan G, Palu G, Mishra YK, Barh D, Santana Silva RJ, Andrade BS, Azevedo V, Góes-Neto A, Bazan NG, Redwan EM, Tambuwala M, Uversky VN. The importance of accessory protein variants in the pathogenicity of SARS-CoV-2. Arch Biochem Biophys 2022; 717:109124. [PMID: 35085577 PMCID: PMC8785432 DOI: 10.1016/j.abb.2022.109124] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 01/15/2022] [Accepted: 01/17/2022] [Indexed: 01/16/2023]
Abstract
The coronavirus disease 2019 (COVID-19) is caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS- CoV-2) with an estimated fatality rate of less than 1%. The SARS-CoV-2 accessory proteins ORF3a, ORF6, ORF7a, ORF7b, ORF8, and ORF10 possess putative functions to manipulate host immune mechanisms. These involve interferons, which appear as a consensus function, immune signaling receptor NLRP3 (NLR family pyrin domain-containing 3) inflammasome, and inflammatory cytokines such as interleukin 1β (IL-1β) and are critical in COVID-19 pathology. Outspread variations of each of the six accessory proteins were observed across six continents of all complete SARS-CoV-2 proteomes based on the data reported before November 2020. A decreasing order of percentage of unique variations in the accessory proteins was determined as ORF3a > ORF8 > ORF7a > ORF6 > ORF10 > ORF7b across all continents. The highest and lowest unique variations of ORF3a were observed in South America and Oceania, respectively. These findings suggest that the wide variations in accessory proteins seem to affect the pathogenicity of SARS-CoV-2.
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Affiliation(s)
- Sk Sarif Hassan
- Department of Mathematics, Pingla Thana Mahavidyalaya, Maligram, 721140, India.
| | - Pabitra Pal Choudhury
- Applied Statistics Unit, Indian Statistical Institute, Kolkata, 700108, West Bengal, India
| | - Guy W Dayhoff
- Department of Chemistry, College of Art and Sciences, University of South Florida, Tampa, FL, 33620, USA
| | - Alaa A A Aljabali
- Department of Pharmaceutics and Pharmaceutical Technology, Yarmouk University-Faculty of Pharmacy, Irbid, 566, Jordan
| | - Bruce D Uhal
- Department of Physiology, Michigan State University, East Lansing, MI, 48824, USA
| | | | - Nima Rezaei
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran; Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Stockholm, Sweden
| | - Damiano Pizzol
- Italian Agency for Development Cooperation - Khartoum, Sudan Street 33, Al Amarat, Sudan
| | - Parise Adadi
- Department of Food Science, University of Otago, Dunedin, 9054, New Zealand
| | - Amos Lal
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Antonio Soares
- Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229-3900, USA
| | - Tarek Mohamed Abd El-Aziz
- Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229-3900, USA; Zoology Department, Faculty of Science, Minia University, El-Minia, 61519, Egypt
| | - Adam M Brufsky
- University of Pittsburgh School of Medicine, Department of Medicine, Division of Hematology/Oncology, UPMC Hillman Cancer Center, Pittsburgh, PA, USA
| | | | - Samendra P Sherchan
- Department of Environmental Health Sciences, Tulane University, New Orleans, LA, 70112, USA
| | - Wagner Baetas-da-Cruz
- Translational Laboratory in Molecular Physiology, Centre for Experimental Surgery, College of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Kazuo Takayama
- Center for iPS Cell Research and Application, Kyoto University, Japan
| | - Ãngel Serrano-Aroca
- Biomaterial and Bioengineering Lab, Translational Research Centre San Alberto Magno, Catholic University of Valencia San Vicente M'artir, c/Guillem de Castro 94, 46001, Valencia, Spain
| | - Gaurav Chauhan
- School of Engineering and Sciences, Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, 64849, Monterrey, Nuevo León, Mexico
| | - Giorgio Palu
- Department of Molecular Medicine, University of Padova, Via Gabelli 63, 35121, Padova, Italy
| | - Yogendra Kumar Mishra
- University of Southern Denmark, Mads Clausen Institute, NanoSYD, Alsion 2, 6400, Sønderborg, Denmark
| | - Debmalya Barh
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, WB, India; Departamento de Genética, Ecologia e Evolucao, Instituto de Cîencias Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Raner Jośe Santana Silva
- Departamento de Ciencias Biologicas (DCB), Programa de Pos-Graduacao em Genetica e Biologia Molecular (PPGGBM), Universidade Estadual de Santa Cruz (UESC), Rodovia Ilheus-Itabuna, km 16, 45662-900, Ilheus, BA, Brazil
| | - Bruno Silva Andrade
- Laboratório de Bioinformática e Química Computacional, Departamento de Ciências Biológicas, Universidade Estadual do Sudoeste da Bahia (UESB), Jequié, 45206-190, Brazil
| | - Vasco Azevedo
- Departamento de Genética, Ecologia e Evolucao, Instituto de Cîencias Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Aristóteles Góes-Neto
- Laboratório de Biologia Molecular e Computacional de Fungos, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil
| | - Nicolas G Bazan
- Neuroscience Center of Excellence, School of Medicine, LSU Health New Orleans, New Orleans, LA, 70112, USA
| | - Elrashdy M Redwan
- King Abdulaz University, Faculty of Science, Department of Biological Science, Saudi Arabia
| | - Murtaza Tambuwala
- School of Pharmacy and Pharmaceutical Science, Ulster University, Coleraine, BT52 1SA, Northern Ireland, UK
| | - Vladimir N Uversky
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA; Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology, Institutskiy pereulok, 9, Dolgoprudny, 141700, Moscow region, Russia.
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23
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Agwa SHA, Elghazaly H, El Meteini MS, Yahia YA, Khaled R, Abd Elsamee AM, Darwish RM, Elsayed SM, Hafez H, Mahmoud BS, Em F, Matboli M. Identifying SARS-CoV-2 Lineage Mutation Hallmarks and Correlating Them With Clinical Outcomes in Egypt: A Pilot Study. Front Mol Biosci 2022; 9:817735. [PMID: 35350713 PMCID: PMC8958014 DOI: 10.3389/fmolb.2022.817735] [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: 11/18/2021] [Accepted: 02/08/2022] [Indexed: 12/15/2022] Open
Abstract
The SARS-CoV-2 pandemic has led to over 4.9 million deaths as of October 2021. One of the main challenges of creating vaccines, treatment, or diagnostic tools for the virus is its mutations and emerging variants. A couple of variants were declared as more virulent and infectious than others. Some approaches were used as nomenclature for SARS-CoV-2 variants and lineages. One of the most used is the Pangolin nomenclature. In our study, we enrolled 35 confirmed SARS-CoV-2 patients and sequenced the viral RNA in their samples. We also aimed to highlight the hallmark mutations in the most frequent lineage. We identified a seven-mutation signature for the SARS-CoV-2 C36 lineage, detected in 56 countries and an emerging lineage in Egypt. In addition, we identified one mutation which was highly negatively correlated with the lineage. On the other hand, we found no significant correlation between our clinical outcomes and the C36 lineage. In conclusion, the C36 lineage is an emerging SARS-CoV-2 variant that needs more investigation regarding its clinical outcomes compared to other strains. Our study paves the way for easier diagnosis of variants of concern using mutation signatures.
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Affiliation(s)
- Sara H A Agwa
- Clinical Pathology and Molecular Genomics Unit of Medical Ain Shams Research Institute (MASRI), Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Hesham Elghazaly
- Oncology Department, Medical Ain Shams Research Institute (MASRI), Cairo, Egypt
| | - Mahmoud Shawky El Meteini
- Department of General Surgery, The School of Medicine, University of Ain Shams, Abbassia, Cairo, Egypt
| | - Yahia A Yahia
- Biochemistry Department, Faculty of Pharmacy, Misr University for Science and Technology, Giza, Egypt
| | - Radwa Khaled
- Biotechnology/Biomolecular Chemistry Program, Faculty of Science, Cairo University, Cairo, Egypt
- Biochemistry Department, Faculty of Medicine, Modern University for Technology and Information, Cairo, Egypt
| | - Aya M Abd Elsamee
- Biochemistry and Molecular Genomics Unit of Medical Ain Shams Research Institute (MASRI), Ain Shams University, Cairo, Egypt
| | - Reham M Darwish
- Biochemistry and Molecular Genomics Unit of Medical Ain Shams Research Institute (MASRI), Ain Shams University, Cairo, Egypt
| | - Shaimaa M Elsayed
- Biochemistry and Molecular Genomics Unit of Medical Ain Shams Research Institute (MASRI), Ain Shams University, Cairo, Egypt
| | - Hala Hafez
- Clinical Pathology Department, Infection Control Unit, University of Ain Shams, Cairo, Egypt
| | - Basma S Mahmoud
- Clinical Pathology Department, Infection Control Unit, University of Ain Shams, Cairo, Egypt
| | - Fouda Em
- Pediatric Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Marwa Matboli
- Medicinal Biochemistry and Molecular Biology Department, Faculty of Medicine, University of Ain Shams, Cairo, Egypt
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24
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Beaudoin CA, Bartas M, Volná A, Pečinka P, Blundell TL. Are There Hidden Genes in DNA/RNA Vaccines? Front Immunol 2022; 13:801915. [PMID: 35211117 PMCID: PMC8860813 DOI: 10.3389/fimmu.2022.801915] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/14/2022] [Indexed: 02/02/2023] Open
Abstract
Due to the fast global spreading of the Severe Acute Respiratory Syndrome Coronavirus - 2 (SARS-CoV-2), prevention and treatment options are direly needed in order to control infection-related morbidity, mortality, and economic losses. Although drug and inactivated and attenuated virus vaccine development can require significant amounts of time and resources, DNA and RNA vaccines offer a quick, simple, and cheap treatment alternative, even when produced on a large scale. The spike protein, which has been shown as the most antigenic SARS-CoV-2 protein, has been widely selected as the target of choice for DNA/RNA vaccines. Vaccination campaigns have reported high vaccination rates and protection, but numerous unintended effects, ranging from muscle pain to death, have led to concerns about the safety of RNA/DNA vaccines. In parallel to these studies, several open reading frames (ORFs) have been found to be overlapping SARS-CoV-2 accessory genes, two of which, ORF2b and ORF-Sh, overlap the spike protein sequence. Thus, the presence of these, and potentially other ORFs on SARS-CoV-2 DNA/RNA vaccines, could lead to the translation of undesired proteins during vaccination. Herein, we discuss the translation of overlapping genes in connection with DNA/RNA vaccines. Two mRNA vaccine spike protein sequences, which have been made publicly-available, were compared to the wild-type sequence in order to uncover possible differences in putative overlapping ORFs. Notably, the Moderna mRNA-1273 vaccine sequence is predicted to contain no frameshifted ORFs on the positive sense strand, which highlights the utility of codon optimization in DNA/RNA vaccine design to remove undesired overlapping ORFs. Since little information is available on ORF2b or ORF-Sh, we use structural bioinformatics techniques to investigate the structure-function relationship of these proteins. The presence of putative ORFs on DNA/RNA vaccine candidates implies that overlapping genes may contribute to the translation of smaller peptides, potentially leading to unintended clinical outcomes, and that the protein-coding potential of DNA/RNA vaccines should be rigorously examined prior to administration.
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Affiliation(s)
- Christopher A. Beaudoin
- Department of Biochemistry, Sanger Building, University of Cambridge, Cambridge, United Kingdom
| | - Martin Bartas
- Department of Biology and Ecology, University of Ostrava, Ostrava, Czechia
| | - Adriana Volná
- Department of Physics, University of Ostrava, Ostrava, Czechia
| | - Petr Pečinka
- Department of Biology and Ecology, University of Ostrava, Ostrava, Czechia
| | - Tom L. Blundell
- Department of Biochemistry, Sanger Building, University of Cambridge, Cambridge, United Kingdom
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25
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Panzera Y, Ramos N, Calleros L, Marandino A, Tomás G, Techera C, Grecco S, Frabasile S, Fuques E, Coppola L, Goñi N, Ramas V, Sorhouet C, Bormida V, Burgueño A, Brasesco M, Garland MR, Molinari S, Perez MT, Somma R, Somma S, Morel MN, Mogdasy C, Chiparelli H, Arbiza J, Delfraro A, Pérez R. Transmission cluster of COVID-19 cases from Uruguay: emergence and spreading of a novel SARS-CoV-2 ORF6 deletion. Mem Inst Oswaldo Cruz 2022; 116:e210275. [PMID: 35019072 PMCID: PMC8752050 DOI: 10.1590/0074-02760210275] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 11/03/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Evolutionary changes in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) include indels in non-structural, structural, and accessory open reading frames (ORFs) or genes. OBJECTIVES We track indels in accessory ORFs to infer evolutionary gene patterns and epidemiological links between outbreaks. METHODS Genomes from Coronavirus disease 2019 (COVID-19) case-patients were Illumina sequenced using ARTIC_V3. The assembled genomes were analysed to detect substitutions and indels. FINDINGS We reported the emergence and spread of a unique 4-nucleotide deletion in the accessory ORF6, an interesting gene with immune modulation activity. The deletion in ORF6 removes one repeat unit of a two 4-nucleotide repeat, which shows that directly repeated sequences in the SARS-CoV-2 genome are associated with indels, even outside the context of extended repeat regions. The 4-nucleotide deletion produces a frameshifting change that results in a protein with two inserted amino acids, increasing the coding information of this accessory ORF. Epidemiological and genomic data indicate that the deletion variant has a single common ancestor and was initially detected in a health care outbreak and later in other COVID-19 cases, establishing a transmission cluster in the Uruguayan population. MAIN CONCLUSIONS Our findings provide evidence for the origin and spread of deletion variants and emphasise indels’ importance in epidemiological studies, including differentiating consecutive outbreaks occurring in the same health facility.
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Affiliation(s)
- Yanina Panzera
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Natalia Ramos
- Universidad de la República, Facultad de Ciencias, Instituto de Biología e Instituto de Química Biológica, Sección Virología, Montevideo, Uruguay
| | - Lucía Calleros
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Ana Marandino
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Gonzalo Tomás
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Claudia Techera
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Sofía Grecco
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Sandra Frabasile
- Universidad de la República, Facultad de Ciencias, Instituto de Biología e Instituto de Química Biológica, Sección Virología, Montevideo, Uruguay
| | - Eddie Fuques
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
| | - Leticia Coppola
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Natalia Goñi
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Viviana Ramas
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Cecilia Sorhouet
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Victoria Bormida
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Analía Burgueño
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - María Brasesco
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Maria Rosa Garland
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Sylvia Molinari
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Maria Teresa Perez
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Rosina Somma
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Silvana Somma
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Maria Noelia Morel
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Cristina Mogdasy
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Héctor Chiparelli
- Ministerio de Salud Pública, Centro Nacional de Referencia de Influenza y Otros Virus Respiratorios, Departamento de Laboratorios de Salud Pública, Montevideo, Uruguay
| | - Juan Arbiza
- Universidad de la República, Facultad de Ciencias, Instituto de Biología e Instituto de Química Biológica, Sección Virología, Montevideo, Uruguay
| | - Adriana Delfraro
- Universidad de la República, Facultad de Ciencias, Instituto de Biología e Instituto de Química Biológica, Sección Virología, Montevideo, Uruguay
| | - Ruben Pérez
- Universidad de la República, Facultad de Ciencias, Instituto de Biología, Departamento de Biología Animal, Sección Genética Evolutiva, Montevideo, Uruguay
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26
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Hassan SS, Lundstrom K, Serrano-Aroca Á, Adadi P, Aljabali AAA, Redwan EM, Lal A, Kandimalla R, El-Aziz TMA, Pal Choudhury P, Azad GK, Sherchan SP, Chauhan G, Tambuwala M, Takayama K, Barh D, Palu G, Basu P, Uversky VN. Emergence of unique SARS-CoV-2 ORF10 variants and their impact on protein structure and function. Int J Biol Macromol 2022; 194:128-143. [PMID: 34863825 PMCID: PMC8635690 DOI: 10.1016/j.ijbiomac.2021.11.151] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 11/18/2021] [Accepted: 11/22/2021] [Indexed: 02/07/2023]
Abstract
The devastating impact of the ongoing coronavirus disease 2019 (COVID-19) on public health, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has made targeting the COVID-19 pandemic a top priority in medical research and pharmaceutical development. Surveillance of SARS-CoV-2 mutations is essential for the comprehension of SARS-CoV-2 variant diversity and their impact on virulence and pathogenicity. The SARS-CoV-2 open reading frame 10 (ORF10) protein interacts with multiple human proteins CUL2, ELOB, ELOC, MAP7D1, PPT1, RBX1, THTPA, TIMM8B, and ZYG11B expressed in lung tissue. Mutations and co-occurring mutations in the emerging SARS-CoV-2 ORF10 variants are expected to impact the severity of the virus and its associated consequences. In this article, we highlight 128 single mutations and 35 co-occurring mutations in the unique SARS-CoV-2 ORF10 variants. The possible predicted effects of these mutations and co-occurring mutations on the secondary structure of ORF10 variants and host protein interactomes are presented. The findings highlight the possible effects of mutations and co-occurring mutations on the emerging 140 ORF10 unique variants from secondary structure and intrinsic protein disorder perspectives.
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Affiliation(s)
- Sk Sarif Hassan
- Department of Mathematics, Pingla Thana Mahavidyalaya, Maligram, Paschim Medinipur 721140, West Bengal, India.
| | | | - Ángel Serrano-Aroca
- Biomaterials and Bioengineering Lab, Centro de Investigacion Traslacional San Alberto Magno, Universidad Catolica de Valencia San Vicente Martir, c/Guillem de Castro, 94, 46001 Valencia, Valencia, Spain.
| | - Parise Adadi
- Department of Food Science, University of Otago, Dunedin 9054, New Zealand
| | - Alaa A A Aljabali
- Department of Pharmaceutics and Pharmaceutical Technology, Yarmouk University, Faculty of Pharmacy, Irbid 566, Jordan.
| | - Elrashdy M Redwan
- Biological Science Department, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia; Therapeutic and Protective Proteins Laboratory, Protein Research Department, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications, New Borg EL-Arab 21934, Alexandria, Egypt.
| | - Amos Lal
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ramesh Kandimalla
- Applied Biology, CSIR-Indian Institute of Chemical Technology, Uppal Road, Tarnaka, Hyderabad 500007, Telangana, India; Department of Biocemistry, Kakatiya Medical College, Warangal, Telangana, India
| | - Tarek Mohamed Abd El-Aziz
- Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229-3900, USA; Zoology Department, Faculty of Science, Minia University, El-Minia 61519, Egypt.
| | - Pabitra Pal Choudhury
- Indian Statistical Institute, Applied Statistics Unit, 203 B T Road, Kolkata 700108, India.
| | | | - Samendra P Sherchan
- Department of Environmental Health Sciences, Tulane University, New Orleans, LA, 70112, USA.
| | - Gaurav Chauhan
- School of Engineering and Sciences, Tecnologico de Monterrey, 64849 Monterrey, Nuevo Leon, Mexico.
| | - Murtaza Tambuwala
- School of Pharmacy and Pharmaceutical Science, Ulster University, Coleraine BT52 1SA, Northern Ireland, UK.
| | - Kazuo Takayama
- Center for iPS Cell Research and Application, Kyoto University, Kyoto 6068507, Japan.
| | - Debmalya Barh
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur 721172, West Bengal, India; Department of Genetics, Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil.
| | - Giorgio Palu
- Department of Molecular Medicine, University of Padova, Via Gabelli 63, 35121 Padova, Italy.
| | - Pallab Basu
- School of Physics, University of the Witwatersrand, Johannesburg, Braamfontein 2000, 721140, South Africa.
| | - Vladimir N Uversky
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.
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27
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SARS-CoV-2 ORF10 suppresses the antiviral innate immune response by degrading MAVS through mitophagy. Cell Mol Immunol 2022; 19:67-78. [PMID: 34845370 PMCID: PMC8628139 DOI: 10.1038/s41423-021-00807-4] [Citation(s) in RCA: 126] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/04/2021] [Indexed: 12/29/2022] Open
Abstract
The global coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused severe morbidity and mortality in humans. It is urgent to understand the function of viral genes. However, the function of open reading frame 10 (ORF10), which is uniquely expressed by SARS-CoV-2, remains unclear. In this study, we showed that overexpression of ORF10 markedly suppressed the expression of type I interferon (IFN-I) genes and IFN-stimulated genes. Then, mitochondrial antiviral signaling protein (MAVS) was identified as the target via which ORF10 suppresses the IFN-I signaling pathway, and MAVS was found to be degraded through the ORF10-induced autophagy pathway. Furthermore, overexpression of ORF10 promoted the accumulation of LC3 in mitochondria and induced mitophagy. Mechanistically, ORF10 was translocated to mitochondria by interacting with the mitophagy receptor Nip3-like protein X (NIX) and induced mitophagy through its interaction with both NIX and LC3B. Moreover, knockdown of NIX expression blocked mitophagy activation, MAVS degradation, and IFN-I signaling pathway inhibition by ORF10. Consistent with our observations, in the context of SARS-CoV-2 infection, ORF10 inhibited MAVS expression and facilitated viral replication. In brief, our results reveal a novel mechanism by which SARS-CoV-2 inhibits the innate immune response; that is, ORF10 induces mitophagy-mediated MAVS degradation by binding to NIX.
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28
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Yavarian J, Zebardast A, Latifi T. The role of severe acute respiratory syndrome coronavirus 2 viroporins in inflammation. ADVANCES IN HUMAN BIOLOGY 2022. [DOI: 10.4103/aihb.aihb_108_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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29
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Toft-Bertelsen TL, Jeppesen MG, Tzortzini E, Xue K, Giller K, Becker S, Mujezinovic A, Bentzen BH, B Andreas L, Kolocouris A, Kledal TN, Rosenkilde MM. Amantadine has potential for the treatment of COVID-19 because it inhibits known and novel ion channels encoded by SARS-CoV-2. Commun Biol 2021; 4:1347. [PMID: 34853399 PMCID: PMC8636635 DOI: 10.1038/s42003-021-02866-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 11/02/2021] [Indexed: 12/16/2022] Open
Abstract
The dire need for COVID-19 treatments has inspired strategies of repurposing approved drugs. Amantadine has been suggested as a candidate, and cellular as well as clinical studies have indicated beneficial effects of this drug. We demonstrate that amantadine and hexamethylene-amiloride (HMA), but not rimantadine, block the ion channel activity of Protein E from SARS-CoV-2, a conserved viroporin among coronaviruses. These findings agree with their binding to Protein E as evaluated by solution NMR and molecular dynamics simulations. Moreover, we identify two novel viroporins of SARS-CoV-2; ORF7b and ORF10, by showing ion channel activity in a X. laevis oocyte expression system. Notably, amantadine also blocks the ion channel activity of ORF10, thereby providing two ion channel targets in SARS-CoV-2 for amantadine treatment in COVID-19 patients. A screen of known viroporin inhibitors on Protein E, ORF7b, ORF10 and Protein 3a from SARS-CoV-2 revealed inhibition of Protein E and ORF7b by emodin and xanthene, the latter also blocking Protein 3a. This illustrates a general potential of well-known ion channel blockers against SARS-CoV-2 and specifically a dual molecular basis for the promising effects of amantadine in COVID-19 treatment. We therefore propose amantadine as a novel, cheap, readily available and effective way to treat COVID-19.
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Affiliation(s)
- Trine Lisberg Toft-Bertelsen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mads Gravers Jeppesen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Synklino ApS, Charlottenlund, Denmark
| | - Eva Tzortzini
- Laboratory of Medicinal Chemistry, Section of Pharmaceutical Chemistry, Department of Pharmacy, National and Kapodistrian University of Athens, Panepistimioupolis-Zografou, Athens, Greece
| | - Kai Xue
- Department of NMR-based structural biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Karin Giller
- Department of NMR-based structural biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Stefan Becker
- Department of NMR-based structural biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Amer Mujezinovic
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bo Hjorth Bentzen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Loren B Andreas
- Department of NMR-based structural biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Antonios Kolocouris
- Laboratory of Medicinal Chemistry, Section of Pharmaceutical Chemistry, Department of Pharmacy, National and Kapodistrian University of Athens, Panepistimioupolis-Zografou, Athens, Greece
| | | | - Mette Marie Rosenkilde
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Yuan F, Wang L, Fang Y, Wang L. Global SNP analysis of 11,183 SARS-CoV-2 strains reveals high genetic diversity. Transbound Emerg Dis 2021; 68:3288-3304. [PMID: 33207070 PMCID: PMC7753349 DOI: 10.1111/tbed.13931] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/19/2020] [Accepted: 11/13/2020] [Indexed: 02/05/2023]
Abstract
Since first identified in December of 2019, COVID-19 has been quickly spreading to the world in few months and COVID-19 cases are still undergoing rapid surge in most countries worldwide. The causative agent, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), adapts and evolves rapidly in nature. With the availability of 16,092 SARS-CoV-2 full genomes in GISAID as of 13 May, we removed the poor-quality genomes and performed mutational profiling analysis for the remaining 11,183 viral genomes. Global analysis of all sequences identified all single nucleotide polymorphisms (SNPs) across the whole genome and critical SNPs with high mutation frequency that contributes to five-clade classification of global strains. A total of 119 SNPs were found with 74 non-synonymous mutations, 43 synonymous mutations and two mutations in intergenic regions. Analysis of geographic pattern of mutational profiling for the whole genome reveals differences between each continent. A transition mutation from C to T represents the most mutation types across the genome, suggesting rapid evolution and adaptation of the virus in host. Amino acid (AA) deletions and insertions found across the genome results in changes in viral protein length and potential function alteration. Mutational profiling for each gene was analysed, and results show that nucleocapsid gene demonstrates the highest mutational frequency, followed by Nsp2, Nsp3 and Spike gene. We further focused on non-synonymous mutational distributions on four key viral proteins, spike with 75 mutations, RNA-dependent-RNA-polymerase with 41 mutations, 3C-like protease with 22 mutations and Papain-like protease with 10 mutations. Results show that non-synonymous mutations on critical sites of these four proteins pose great challenge for development of anti-viral drugs and other countering measures. Overall, this study provides more understanding of genetic diversity/variability of SARS-CoV-2 and insights for development of anti-viral therapeutics.
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Affiliation(s)
- Fangfeng Yuan
- Department of PathobiologyCollege of Veterinary MedicineUniversity of Illinois at Urbana ChampaignUrbanaIllinoisUSA
| | - Liping Wang
- Department of Diagnostic Medicine and PathobiologyCollege of Veterinary MedicineKansas State UniversityManhattanKansasUSA
| | - Ying Fang
- Department of PathobiologyCollege of Veterinary MedicineUniversity of Illinois at Urbana ChampaignUrbanaIllinoisUSA
| | - Leyi Wang
- Veterinary Diagnostic Laboratory and Department of Veterinary Clinical MedicineCollege of Veterinary MedicineUniversity of IllinoisUrbanaIllinoisUSA
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31
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Moghaddar M, Radman R, Macreadie I. Severity, Pathogenicity and Transmissibility of Delta and Lambda Variants of SARS-CoV-2, Toxicity of Spike Protein and Possibilities for Future Prevention of COVID-19. Microorganisms 2021; 9:2167. [PMID: 34683488 PMCID: PMC8540532 DOI: 10.3390/microorganisms9102167] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 10/13/2021] [Accepted: 10/13/2021] [Indexed: 12/16/2022] Open
Abstract
The World Health Organization reports that SARS-CoV-2 has infected over 220 million people and claimed over 4.7 million lives globally. While there are new effective vaccines, the differences in behavior of variants are causing challenges in vaccine development or treatment. Here, we discuss Delta, a variant of concern, and Lambda, a variant of interest. They demonstrate high infectivity and are less responsive to the immune response in vaccinated individuals. In this review, we briefly summarize the reason for infectivity and the severity of the novel variants. Delta and Lambda variants exhibit more changes in NSPs proteins and the S protein, compared to the original Wuhan strain. Lambda also has numerous amino acid substitutions in NSPs and S proteins, plus a deletion in the NTD of S protein, leading to partial escape from neutralizing antibodies (NAbs) in vaccinated individuals. We discuss the role of furin protease and the ACE2 receptor in virus infection, hotspot mutations in the S protein, the toxicity of the S protein and the increased pathogenicity of Delta and Lambda variants. We discuss future therapeutic strategies, including those based on high stability of epitopes, conservation of the N protein and the novel intracellular antibody receptor, tripartite-motif protein 21 (TRIM21) recognized by antibodies against the N protein.
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Affiliation(s)
- Mehrnoosh Moghaddar
- School of Science, RMIT University, Bundoora, VIC 3083, Australia; (M.M.); (R.R.)
| | - Ramtin Radman
- School of Science, RMIT University, Bundoora, VIC 3083, Australia; (M.M.); (R.R.)
- School of Health and Medicine, Monash University, Clayton, VIC 3800, Australia
| | - Ian Macreadie
- School of Science, RMIT University, Bundoora, VIC 3083, Australia; (M.M.); (R.R.)
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32
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Pavesi A. Prediction of two novel overlapping ORFs in the genome of SARS-CoV-2. Virology 2021; 562:149-157. [PMID: 34339929 PMCID: PMC8317007 DOI: 10.1016/j.virol.2021.07.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 07/21/2021] [Accepted: 07/21/2021] [Indexed: 10/25/2022]
Abstract
Six candidate overlapping genes have been detected in SARS-CoV-2, yet current methods struggle to detect overlapping genes that recently originated. However, such genes might encode proteins beneficial to the virus, and provide a model system to understand gene birth. To complement existing detection methods, I first demonstrated that selection pressure to avoid stop codons in alternative reading frames is a driving force in the origin and retention of overlapping genes. I then built a detection method, CodScr, based on this selection pressure. Finally, I combined CodScr with methods that detect other properties of overlapping genes, such as a biased nucleotide and amino acid composition. I detected two novel ORFs (ORF-Sh and ORF-Mh), overlapping the spike and membrane genes respectively, which are under selection pressure and may be beneficial to SARS-CoV-2. ORF-Sh and ORF-Mh are present, as ORF uninterrupted by stop codons, in 100% and 95% of the SARS-CoV-2 genomes, respectively.
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Affiliation(s)
- Angelo Pavesi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 23/A, I-43124, Parma, Italy.
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33
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Yi K, Kim SY, Bleazard T, Kim T, Youk J, Ju YS. Mutational spectrum of SARS-CoV-2 during the global pandemic. Exp Mol Med 2021; 53:1229-1237. [PMID: 34453107 PMCID: PMC8393781 DOI: 10.1038/s12276-021-00658-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 04/29/2021] [Accepted: 05/11/2021] [Indexed: 02/07/2023] Open
Abstract
Viruses accumulate mutations under the influence of natural selection and host-virus interactions. Through a systematic comparison of 351,525 full viral genome sequences collected during the recent COVID-19 pandemic, we reveal the spectrum of SARS-CoV-2 mutations. Unlike those of other viruses, the mutational spectrum of SARS-CoV-2 exhibits extreme asymmetry, with a much higher rate of C>U than U>C substitutions, as well as a higher rate of G>U than U>G substitutions. This suggests directional genome sequence evolution during transmission. The substantial asymmetry and directionality of the mutational spectrum enable pseudotemporal tracing of SARS-CoV-2 without prior information about the root sequence, collection time, and sampling region. This shows that the viral genome sequences collected in Asia are similar to the original genome sequence. Adjusted estimation of the dN/dS ratio accounting for the asymmetrical mutational spectrum also shows evidence of negative selection on viral genes, consistent with previous reports. Our findings provide deep insights into the mutational processes in SARS-CoV-2 viral infection and advance the understanding of the history and future evolution of the virus.
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Affiliation(s)
- Kijong Yi
- grid.37172.300000 0001 2292 0500Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Korea
| | - Su Yeon Kim
- grid.37172.300000 0001 2292 0500Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Korea
| | - Thomas Bleazard
- grid.70909.370000 0001 2199 6511National Institute for Biological Standards and Control, Blanche Lane, South Mimms, Potters Bar, Hertfordshire, EN6 3QG UK
| | - Taewoo Kim
- grid.37172.300000 0001 2292 0500Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Korea
| | - Jeonghwan Youk
- grid.37172.300000 0001 2292 0500Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Korea ,grid.511166.4GENOME INSIGHT Inc, Daejeon, 34051 Korea
| | - Young Seok Ju
- grid.37172.300000 0001 2292 0500Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Korea ,grid.511166.4GENOME INSIGHT Inc, Daejeon, 34051 Korea
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34
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Abstract
CoVID-19 is a multi-symptomatic disease which has made a global impact due to its ability to spread rapidly, and its relatively high mortality rate. Beyond the heroic efforts to develop vaccines, which we do not discuss herein, the response of scientists and clinicians to this complex problem has reflected the need to detect CoVID-19 rapidly, to diagnose patients likely to show adverse symptoms, and to treat severe and critical CoVID-19. Here we aim to encapsulate these varied and sometimes conflicting approaches and the resulting data in terms of chemistry and biology. In the process we highlight emerging concepts, and potential future applications that may arise out of this immense effort.
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Affiliation(s)
| | - Yimon Aye
- Swiss Federal Institute of Technology in Lausanne (EPFL)1015LausanneSwitzerland
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35
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Soroka M, Wasowicz B, Rymaszewska A. Loop-Mediated Isothermal Amplification (LAMP): The Better Sibling of PCR? Cells 2021; 10:1931. [PMID: 34440699 PMCID: PMC8393631 DOI: 10.3390/cells10081931] [Citation(s) in RCA: 196] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/26/2021] [Accepted: 07/27/2021] [Indexed: 12/11/2022] Open
Abstract
In 1998, when the PCR technique was already popular, a Japanese company called Eiken Chemical Co., Ltd. designed a method known as the loop-mediated isothermal amplification of DNA (LAMP). The method can produce up to 109 copies of the amplified DNA within less than an hour. It is also highly specific due to the use of two to three pairs of primers (internal, external, and loop), which recognise up to eight specific locations on the DNA or RNA targets. Furthermore, the Bst DNA polymerase most used in LAMP shows a high strand displacement activity, which eliminates the DNA denaturation stage. One of the most significant advantages of LAMP is that it can be conducted at a stable temperature, for instance, in a dry block heater or an incubator. The products of LAMP can be detected much faster than in standard techniques, sometimes only requiring analysis with the naked eye. The following overview highlights the usefulness of LAMP and its effectiveness in various fields; it also considers the superiority of LAMP over PCR and presents RT-LAMP as a rapid diagnostic tool for SARS-CoV-2.
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Affiliation(s)
| | - Barbara Wasowicz
- Department of Genetics and Genomics, Institute of Biology, University of Szczecin, 3c Felczaka St., 71-412 Szczecin, Poland; (M.S.); (A.R.)
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36
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Ahsan R, Tahsili MR, Ebrahimi F, Ebrahimie E, Ebrahimi M. Image processing unravels the evolutionary pattern of SARS-CoV-2 against SARS and MERS through position-based pattern recognition. Comput Biol Med 2021; 134:104471. [PMID: 34004573 PMCID: PMC8106241 DOI: 10.1016/j.compbiomed.2021.104471] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 04/27/2021] [Accepted: 05/02/2021] [Indexed: 12/16/2022]
Abstract
SARS-COV-2, Severe Acute Respiratory Syndrome (SARS), and the Middle East respiratory syndrome-related coronavirus (MERS) viruses are from the coronaviridae family; the former became a global pandemic (with low mortality rate) while the latter were confined to a limited region (with high mortality rates). To investigate the possible structural differences at basic levels for the three viruses, genomic and proteomic sequences were downloaded and converted to polynomial datasets. Seven attribute weighting (feature selection) models were employed to find the key differences in their genome's nucleotide sequence. Most attribute weighting models selected the final nucleotide sequences (from 29,000th nucleotide positions to the end of the genome) as significantly different among the three virus classes. The genome and proteome sequences of this hot zone area (which corresponds to the 3'UTR region and encodes for nucleoprotein (N)) and Spike (S) protein sequences (as the most important viral protein) were converted into binary images and were analyzed by image processing techniques and Convolutional deep Neural Network (CNN). Although the predictive accuracy of CNN for Spike (S) proteins was low (0.48%), the machine-based learning algorithms were able to classify the three members of coronaviridae viruses with 100% accuracy based on 3'UTR region. For the first time ever, the relationship between the possible structural differences of coronaviruses at the sequential levels and their pathogenesis are being reported, which paves the road to deciphering the high pathogenicity of the SARS-COV-2 virus.
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Affiliation(s)
- Reza Ahsan
- Department of Computer Engineering, Qom Branch, Islamic Azad University, Qom, Iran
| | | | - Faezeh Ebrahimi
- Faculty of Life Sciences and Biotechnology, Department of Microbiology and Microbial Biotechnology, Shahid Beheshti University, Tehran, Iran
| | - Esmaeil Ebrahimie
- Genomics Research Platform, School of Life Sciences, College of Science, Health and Engineering, La Trobe University, Melbourne, Victoria, 3086, Australia,School of Animal and Veterinary Sciences, The University of Adelaide, South Australia, 5371, Australia
| | - Mansour Ebrahimi
- Department of Biology, School of Basic Sciences, University of Qom, Qom, Iran,School of Animal and Veterinary Sciences, The University of Adelaide, South Australia, 5371, Australia,Corresponding author. Department of Biology, School of Basic Sciences, University of Qom, Qom, Iran
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Hassan SS, Attrish D, Ghosh S, Choudhury PP, Uversky VN, Aljabali AAA, Lundstrom K, Uhal BD, Rezaei N, Seyran M, Pizzol D, Adadi P, Soares A, Abd El-Aziz TM, Kandimalla R, Tambuwala MM, Azad GK, Sherchan SP, Baetas-da-Cruz W, Lal A, Palù G, Takayama K, Serrano-Aroca Á, Barh D, Brufsky AM. Notable sequence homology of the ORF10 protein introspects the architecture of SARS-CoV-2. Int J Biol Macromol 2021; 181:801-809. [PMID: 33862077 PMCID: PMC8051021 DOI: 10.1016/j.ijbiomac.2021.03.199] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/30/2021] [Accepted: 03/30/2021] [Indexed: 01/01/2023]
Abstract
The current Coronavirus Disease 19 (COVID-19) pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) shows similar pathology to MERS and SARS-CoV, with a current estimated fatality rate of 1.4%. Open reading frame 10 (ORF10) is a unique SARS-CoV-2 accessory protein, which contains eleven cytotoxic T lymphocyte (CTL) epitopes each of nine amino acids in length. Twenty-two unique SARS-CoV-2 ORF10 variants have been identified based on missense mutations found in sequence databases. Some of these mutations are predicted to decrease the stability of ORF10 in silico physicochemical and structural comparative analyses were carried out on SARS-CoV-2 and Pangolin-CoV ORF10 proteins, which share 97.37% amino acid (aa) homology. Though there is a high degree of ORF10 protein similarity of SARS-CoV-2 and Pangolin-CoV, there are differences of these two ORF10 proteins related to their sub-structure (loop/coil region), solubility, antigenicity and shift from strand to coil at aa position 26 (tyrosine). SARS-CoV-2 ORF10, which is apparently expressed in vivo since reactive T cell clones are found in convalescent patients should be monitored for changes which could correlate with the pathogenesis of COVID-19.
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Affiliation(s)
- Sk Sarif Hassan
- Department of Mathematics, Pingla Thana Mahavidyalaya, Maligram 721140, India.
| | - Diksha Attrish
- Dr. B. R. Ambedkar Centre For Biomedical Research (ACBR), University of Delhi (North Campus), Delhi 110007, India
| | - Shinjini Ghosh
- Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, Kolkata 700009, West Bengal, India
| | - Pabitra Pal Choudhury
- Applied Statistics Unit, Indian Statistical Institute, Kolkata 700108, West Bengal, India
| | - Vladimir N Uversky
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.
| | - Alaa A A Aljabali
- Department of Pharmaceutics and Pharmaceutical Technology, Yarmouk University-Faculty of Pharmacy, Irbid 566, Jordan.
| | | | - Bruce D Uhal
- Department of Physiology, Michigan State University, East Lansing, MI 48824, USA
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran; Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Stockholm, Sweden.
| | - Murat Seyran
- Doctoral Studies in Natural and Technical Sciences (SPL 44), University of Vienna, Austria
| | - Damiano Pizzol
- Italian Agency for Development Cooperation - Khartoum, Sudan Street 33, Al Amarat, Sudan
| | - Parise Adadi
- Department of Food Science, University of Otago, Dunedin 9054, New Zealand.
| | - Antonio Soares
- Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229-3900, USA.
| | - Tarek Mohamed Abd El-Aziz
- Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78229-3900, USA; Zoology Department, Faculty of Science, Minia University, El-Minia 61519, Egypt.
| | - Ramesh Kandimalla
- CSIR-Indian Institute of Chemical Technology, Uppal Road, Tarnaka, Hyderabad 500007, Telangana State, India; Department of Biochemistry, Kakatiya Medical College, Warangal, Telangana State, India.
| | - Murtaza M Tambuwala
- School of Pharmacy and Pharmaceutical Science, Ulster University, Coleraine BT52 1SA, Northern Ireland, UK.
| | | | - Samendra P Sherchan
- Department of Environmental Health Sciences, Tulane University, New Orleans, LA 70112, USA.
| | - Wagner Baetas-da-Cruz
- Translational Laboratory in Molecular Physiology, Centre for Experimental Surgery, College of Medicine, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Amos Lal
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Giorgio Palù
- Department of Molecular Medicine, University of Padova, Via Gabelli 63, 35121 Padova, Italy.
| | - Kazuo Takayama
- Center for iPS Cell Research and Application, Kyoto University, Kyoto 606-8397, Japan.
| | - Ángel Serrano-Aroca
- Biomaterials and Bioengineering Lab, Centro de Investigación Traslacional San Alberto Magno, Universidad Católica de Valencia, San Vicente Mártir 46001, Valencia, Spain.
| | - Debmalya Barh
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Purba Medinipur, India
| | - Adam M Brufsky
- University of Pittsburgh School of Medicine, Department of Medicine, Division of Hematology/Oncology, UPMC Hillman Cancer Center, Pittsburgh, PA, USA.
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Gorkhali R, Koirala P, Rijal S, Mainali A, Baral A, Bhattarai HK. Structure and Function of Major SARS-CoV-2 and SARS-CoV Proteins. Bioinform Biol Insights 2021; 15:11779322211025876. [PMID: 34220199 PMCID: PMC8221690 DOI: 10.1177/11779322211025876] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 05/25/2021] [Indexed: 01/20/2023] Open
Abstract
SARS-CoV-2 virus, the causative agent of COVID-19 pandemic, has a genomic organization consisting of 16 nonstructural proteins (nsps), 4 structural proteins, and 9 accessory proteins. Relative of SARS-CoV-2, SARS-CoV, has genomic organization, which is very similar. In this article, the function and structure of the proteins of SARS-CoV-2 and SARS-CoV are described in great detail. The nsps are expressed as a single or two polyproteins, which are then cleaved into individual proteins using two proteases of the virus, a chymotrypsin-like protease and a papain-like protease. The released proteins serve as centers of virus replication and transcription. Some of these nsps modulate the host’s translation and immune systems, while others help the virus evade the host immune system. Some of the nsps help form replication-transcription complex at double-membrane vesicles. Others, including one RNA-dependent RNA polymerase and one exonuclease, help in the polymerization of newly synthesized RNA of the virus and help minimize the mutation rate by proofreading. After synthesis of the viral RNA, it gets capped. The capping consists of adding GMP and a methylation mark, called cap 0 and additionally adding a methyl group to the terminal ribose called cap1. Capping is accomplished with the help of a helicase, which also helps remove a phosphate, two methyltransferases, and a scaffolding factor. Among the structural proteins, S protein forms the receptor of the virus, which latches on the angiotensin-converting enzyme 2 receptor of the host and N protein binds and protects the genomic RNA of the virus. The accessory proteins found in these viruses are small proteins with immune modulatory roles. Besides functions of these proteins, solved X-ray and cryogenic electron microscopy structures related to the function of the proteins along with comparisons to other coronavirus homologs have been described in the article. Finally, the rate of mutation of SARS-CoV-2 residues of the proteome during the 2020 pandemic has been described. Some proteins are mutated more often than other proteins, but the significance of these mutation rates is not fully understood.
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Affiliation(s)
- Ritesh Gorkhali
- Department of Biotechnology, Kathmandu University, Dhulikhel, Nepal
| | | | - Sadikshya Rijal
- Department of Biotechnology, Kathmandu University, Dhulikhel, Nepal
| | - Ashmita Mainali
- Department of Biotechnology, Kathmandu University, Dhulikhel, Nepal
| | - Adesh Baral
- Department of Biotechnology, Kathmandu University, Dhulikhel, Nepal
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Miljanovic D, Milicevic O, Loncar A, Abazovic D, Despot D, Banko A. The First Molecular Characterization of Serbian SARS-CoV-2 Isolates From a Unique Early Second Wave in Europe. Front Microbiol 2021; 12:691154. [PMID: 34220784 PMCID: PMC8250835 DOI: 10.3389/fmicb.2021.691154] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 05/19/2021] [Indexed: 12/23/2022] Open
Abstract
March 6, 2020 is considered as the official date of the beginning of the COVID-19 epidemic in Serbia. In late spring and early summer 2020, Europe recorded a decline in the rate of SARS-CoV-2 infection and subsiding of the first wave. This trend lasted until the fall, when the second wave of the epidemic began to appear. Unlike the rest of Europe, Serbia was hit by the second wave of the epidemic a few months earlier. Already in June 2020, newly confirmed cases had risen exponentially. As the COVID-19 pandemic is the first pandemic in which there has been instant sharing of genomic information on isolates around the world, the aim of this study was to analyze whole SARS-CoV-2 viral genomes from Serbia, to identify circulating variants/clade/lineages, and to explore site-specific mutational patterns in the unique early second wave of the European epidemic. This analysis of Serbian isolates represents the first publication from Balkan countries, which demonstrates the importance of specificities of local transmission especially when preventive measures differ among countries. One hundred forty-eight different genome variants among 41 Serbian isolates were detected in this study. One unique and seven extremely rare mutations were identified, with locally specific continuous dominance of the 20D clade. At the same time, amino acid substitutions of newly identified variants of concern were found in our isolates from October 2020. Future research should be focused on functional characterization of novel mutations in order to understand the exact role of these variations.
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Affiliation(s)
- Danijela Miljanovic
- Virology Laboratory, Faculty of Medicine, Institute of Microbiology and Immunology, University of Belgrade, Belgrade, Serbia
| | - Ognjen Milicevic
- Faculty of Medicine, Institute for Medical Statistics and Informatics, University of Belgrade, Belgrade, Serbia
| | - Ana Loncar
- Laboratory of Molecular Microbiology, Institute for Biocides and Medical Ecology, Belgrade, Serbia
| | - Dzihan Abazovic
- Biocell Hospital, Belgrade, Serbia
- Emergency Medical Centre of Montenegro, Podgorica, Montenegro
| | - Dragana Despot
- Laboratory of Molecular Microbiology, Institute for Biocides and Medical Ecology, Belgrade, Serbia
| | - Ana Banko
- Virology Laboratory, Faculty of Medicine, Institute of Microbiology and Immunology, University of Belgrade, Belgrade, Serbia
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40
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Jungreis I, Sealfon R, Kellis M. SARS-CoV-2 gene content and COVID-19 mutation impact by comparing 44 Sarbecovirus genomes. Nat Commun 2021; 12:2642. [PMID: 33976134 PMCID: PMC8113528 DOI: 10.1038/s41467-021-22905-7] [Citation(s) in RCA: 121] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 03/28/2021] [Indexed: 02/03/2023] Open
Abstract
Despite its clinical importance, the SARS-CoV-2 gene set remains unresolved, hindering dissection of COVID-19 biology. We use comparative genomics to provide a high-confidence protein-coding gene set, characterize evolutionary constraint, and prioritize functional mutations. We select 44 Sarbecovirus genomes at ideally-suited evolutionary distances, and quantify protein-coding evolutionary signatures and overlapping constraint. We find strong protein-coding signatures for ORFs 3a, 6, 7a, 7b, 8, 9b, and a novel alternate-frame gene, ORF3c, whereas ORFs 2b, 3d/3d-2, 3b, 9c, and 10 lack protein-coding signatures or convincing experimental evidence of protein-coding function. Furthermore, we show no other conserved protein-coding genes remain to be discovered. Mutation analysis suggests ORF8 contributes to within-individual fitness but not person-to-person transmission. Cross-strain and within-strain evolutionary pressures agree, except for fewer-than-expected within-strain mutations in nsp3 and S1, and more-than-expected in nucleocapsid, which shows a cluster of mutations in a predicted B-cell epitope, suggesting immune-avoidance selection. Evolutionary histories of residues disrupted by spike-protein substitutions D614G, N501Y, E484K, and K417N/T provide clues about their biology, and we catalog likely-functional co-inherited mutations. Previously reported RNA-modification sites show no enrichment for conservation. Here we report a high-confidence gene set and evolutionary-history annotations providing valuable resources and insights on SARS-CoV-2 biology, mutations, and evolution.
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Affiliation(s)
- Irwin Jungreis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Rachel Sealfon
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Manolis Kellis
- MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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41
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Yang DM, Lin FC, Tsai PH, Chien Y, Wang ML, Yang YP, Chang TJ. Pandemic analysis of infection and death correlated with genomic open reading frame 10 mutation in severe acute respiratory syndrome coronavirus 2 victims. J Chin Med Assoc 2021; 84:478-484. [PMID: 33883466 DOI: 10.1097/jcma.0000000000000542] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues the pandemic spread of the coronavirus disease 2019 (COVID-19), over 60 million people confirmed infected and at least 1.8 million dead. One of the most known features of this RNA virus is its easiness to be mutated. In late 2020, almost no region of this SARS-CoV-2 genome can be found completely conserved within the original Wuhan coronavirus. Any information of the SARS-CoV-2 variants emerged through as time being will be evaluated for diagnosis, treatment, and prevention of COVID-19. METHODS We extracted more than two million data of SARS-CoV-2 infected patients from the open COVID-19 dashboard. The sequences of the 38-amino acid putative open reading frame 10 (Orf10) protein within infected patients were gathered output through from National Center for Biotechnology Information and the mutation rates in each position were analyzed and presented in each month of 2020. The mutation rates of A8 and V30 within Orf10 are displayed in selected counties: United States, India, German, and Japan. RESULTS The numbers of COVID-19 patients are correlated to the death numbers, but not with the death rates (stable and <3%). The amino acid positions locating at A8(F/G/L), I13, and V30(L) within the Orf10 sequence stay the highest mutation rate; N5, N25, and N36 rank at the lowest one. A8F expressed highly dominant in Japan (over 80%) and German (around 40%) coming to the end of 2020, but no significant finding in other countries. CONCLUSION The results demonstrate via mutation analysis of Orf10 can be further combined with advanced tools such as molecular simulation, artificial intelligence, and biosensors that can practically revealed for protein interactions and thus to imply the authentic Orf10 function of SARS-CoV-2 in the future.
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Affiliation(s)
- De-Ming Yang
- Microscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Institute of Biophotonics, School of Biomedical Science and Engineering National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
- Biophotonics and Molecular Imaging Research Center (BMIRC), National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Fan-Chi Lin
- Microscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- Institute of Biophotonics, School of Biomedical Science and Engineering National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
- Biophotonics and Molecular Imaging Research Center (BMIRC), National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Pin-Hsing Tsai
- Innovative Cellular Therapy Center, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Yueh Chien
- Innovative Cellular Therapy Center, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Mong-Lien Wang
- Innovative Cellular Therapy Center, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Yi-Ping Yang
- Innovative Cellular Therapy Center, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
| | - Tai-Jay Chang
- Laboratory of Genome Research, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
- School of Biomedical Science and Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC
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Choudhary C, Sharma S, Meghwanshi KK, Patel S, Mehta P, Shukla N, Do DN, Rajpurohit S, Suravajhala P, Shukla JN. Long Non-Coding RNAs in Insects. Animals (Basel) 2021; 11:1118. [PMID: 33919662 PMCID: PMC8069800 DOI: 10.3390/ani11041118] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 03/30/2021] [Accepted: 04/06/2021] [Indexed: 12/27/2022] Open
Abstract
Only a small subset of all the transcribed RNAs are used as a template for protein translation, whereas RNA molecules that are not translated play a very important role as regulatory non-coding RNAs (ncRNAs). Besides traditionally known RNAs (ribosomal and transfer RNAs), ncRNAs also include small non-coding RNAs (sncRNAs) and long non-coding RNAs (lncRNAs). The lncRNAs, which were initially thought to be junk, have gained a great deal attention because of their regulatory roles in diverse biological processes in animals and plants. Insects are the most abundant and diverse group of animals on this planet. Recent studies have demonstrated the role of lncRNAs in almost all aspects of insect development, reproduction, and genetic plasticity. In this review, we describe the function and molecular mechanisms of the mode of action of different insect lncRNAs discovered up to date.
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Affiliation(s)
- Chhavi Choudhary
- Department of Biotechnology, School of Life Sciences, Central University of Rajasthan, Bandarsindari, Ajmer 305801, India; (C.C.); (K.K.M.)
| | - Shivasmi Sharma
- Department of Biotechnology, Amity University Jaipur, Jaipur 303002, India; (S.S.); (S.P.)
| | - Keshav Kumar Meghwanshi
- Department of Biotechnology, School of Life Sciences, Central University of Rajasthan, Bandarsindari, Ajmer 305801, India; (C.C.); (K.K.M.)
| | - Smit Patel
- Department of Biotechnology, Amity University Jaipur, Jaipur 303002, India; (S.S.); (S.P.)
| | - Prachi Mehta
- Division of Biological & Life Sciences, School of Arts and Sciences, Ahmedabad University, Gujarat 380009, India; (P.M.); (S.R.)
| | - Nidhi Shukla
- Department of Biotechnology and Bioinformatics, Birla Institute of Scientific Research, Jaipur 302001, India;
| | - Duy Ngoc Do
- Institute of Research and Development, Duy Tan University, Danang 550000, Vietnam;
| | - Subhash Rajpurohit
- Division of Biological & Life Sciences, School of Arts and Sciences, Ahmedabad University, Gujarat 380009, India; (P.M.); (S.R.)
| | - Prashanth Suravajhala
- Department of Biotechnology and Bioinformatics, Birla Institute of Scientific Research, Jaipur 302001, India;
- Bioclues.org, Vivekananda Nagar, Kukatpally, Hyderabad, Telangana 500072, India
| | - Jayendra Nath Shukla
- Department of Biotechnology, School of Life Sciences, Central University of Rajasthan, Bandarsindari, Ajmer 305801, India; (C.C.); (K.K.M.)
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43
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Portakal SH, Kanat B, Sayan M, Berber B, Doluca O. A novel method for conserved sequence extraction with prospective mutation prediction for SARS-CoV-2 PCR primer design. J Virol Methods 2021; 293:114146. [PMID: 33812944 PMCID: PMC8015351 DOI: 10.1016/j.jviromet.2021.114146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 03/29/2021] [Accepted: 03/30/2021] [Indexed: 12/24/2022]
Abstract
While the whole genomic sequence of SARS-CoV-2 had been revealed, it was also demonstrated that the genome of SARS-CoV-2 exhibits identity with the genome of SARS-CoV and MERS-CoV with ratios of 80 % and 50 % respectively. In the light of SARS-CoV-2 infection and mortality data, diagnosis and treatment of COVID-19 came into prominence around the world. As such many RT-PCR kits have been developed by biotechnology scientists. However viruses are fast mutating organisms and in order to increase accuracy, feasibility in long term and avoid the off target results of RT-PCR assays, regions of viral genome with low mutation rate and designing of primers targeting these regions are quite important. In this scope, we are presenting a novel algorithm that could be used for finding low mutation rate regions of SARS-CoV-2 and primers that were designed according to findings from our algorithm in this study.
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Affiliation(s)
- Saygın Hüseyin Portakal
- Izmir University of Economics, Faculty of Engineering, Department of Biomedical Engineering, Izmir, Turkey
| | - Beyza Kanat
- Izmir University of Economics, Faculty of Engineering, Department of Biomedical Engineering, Izmir, Turkey
| | - Murat Sayan
- Kocaeli University, Faculty of Medicine, Clinical Laboratory, PCR Unit, Kocaeli, Turkey; Turkish Republic of Northern Cyprus
| | - Burak Berber
- Eskisehir Technical University, Faculty of Science, Department of Biology, Eskisehir, Turkey
| | - Osman Doluca
- Izmir University of Economics, Faculty of Engineering, Department of Biomedical Engineering, Izmir, Turkey.
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44
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Krumm ZA, Lloyd GM, Francis CP, Nasif LH, Mitchell DA, Golde TE, Giasson BI, Xia Y. Precision therapeutic targets for COVID-19. Virol J 2021; 18:66. [PMID: 33781287 PMCID: PMC8006140 DOI: 10.1186/s12985-021-01526-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 03/04/2021] [Indexed: 01/18/2023] Open
Abstract
Beginning in late 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged as a novel pathogen that causes coronavirus disease 2019 (COVID-19). SARS-CoV-2 has infected more than 111 million people worldwide and caused over 2.47 million deaths. Individuals infected with SARS-CoV-2 show symptoms of fever, cough, dyspnea, and fatigue with severe cases that can develop into pneumonia, myocarditis, acute respiratory distress syndrome, hypercoagulability, and even multi-organ failure. Current clinical management consists largely of supportive care as commonly administered treatments, including convalescent plasma, remdesivir, and high-dose glucocorticoids. These have demonstrated modest benefits in a small subset of hospitalized patients, with only dexamethasone showing demonstrable efficacy in reducing mortality and length of hospitalization. At this time, no SARS-CoV-2-specific antiviral drugs are available, although several vaccines have been approved for use in recent months. In this review, we will evaluate the efficacy of preclinical and clinical drugs that precisely target three different, essential steps of the SARS-CoV-2 replication cycle: the spike protein during entry, main protease (MPro) during proteolytic activation, and RNA-dependent RNA polymerase (RdRp) during transcription. We will assess the advantages and limitations of drugs that precisely target evolutionarily well-conserved domains, which are less likely to mutate, and therefore less likely to escape the effects of these drugs. We propose that a multi-drug cocktail targeting precise proteins, critical to the viral replication cycle, such as spike protein, MPro, and RdRp, will be the most effective strategy of inhibiting SARS-CoV-2 replication and limiting its spread in the general population.
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Affiliation(s)
- Zachary A Krumm
- Department of Neuroscience, College of Medicine, University of Florida, 1275 Center Drive, Gainesville, FL, 32610, USA
- Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL, 32610, USA
| | - Grace M Lloyd
- Department of Neuroscience, College of Medicine, University of Florida, 1275 Center Drive, Gainesville, FL, 32610, USA
- Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL, 32610, USA
| | - Connor P Francis
- College of Medicine, McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA
- Lillian S. Wells Department of Neurosurgery, University of Florida, Gainesville, FL, 32610, USA
- UF Clinical and Translational Science Institute, University of Florida, Gainesville, FL, 32610, USA
| | - Lith H Nasif
- Department of Neuroscience, College of Medicine, University of Florida, 1275 Center Drive, Gainesville, FL, 32610, USA
- Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL, 32610, USA
| | - Duane A Mitchell
- College of Medicine, McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA
- Lillian S. Wells Department of Neurosurgery, University of Florida, Gainesville, FL, 32610, USA
- UF Clinical and Translational Science Institute, University of Florida, Gainesville, FL, 32610, USA
| | - Todd E Golde
- Department of Neuroscience, College of Medicine, University of Florida, 1275 Center Drive, Gainesville, FL, 32610, USA
- Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL, 32610, USA
- College of Medicine, McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA
| | - Benoit I Giasson
- Department of Neuroscience, College of Medicine, University of Florida, 1275 Center Drive, Gainesville, FL, 32610, USA.
- Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL, 32610, USA.
- College of Medicine, McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA.
| | - Yuxing Xia
- Department of Neuroscience, College of Medicine, University of Florida, 1275 Center Drive, Gainesville, FL, 32610, USA.
- Center for Translational Research in Neurodegenerative Disease, College of Medicine, University of Florida, Gainesville, FL, 32610, USA.
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45
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Haddad-Boubaker S, Othman H, Touati R, Ayouni K, Lakhal M, Ben Mustapha I, Ghedira K, Kharrat M, Triki H. In silico comparative study of SARS-CoV-2 proteins and antigenic proteins in BCG, OPV, MMR and other vaccines: evidence of a possible putative protective effect. BMC Bioinformatics 2021; 22:163. [PMID: 33771096 PMCID: PMC7995392 DOI: 10.1186/s12859-021-04045-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 02/22/2021] [Indexed: 12/15/2022] Open
Abstract
Background Coronavirus Disease 2019 (COVID-19) is a viral pandemic disease that may induce severe pneumonia in humans. In this paper, we investigated the putative implication of 12 vaccines, including BCG, OPV and MMR in the protection against COVID-19. Sequences of the main antigenic proteins in the investigated vaccines and SARS-CoV-2 proteins were compared to identify similar patterns. The immunogenic effect of identified segments was, then, assessed using a combination of structural and antigenicity prediction tools. Results A total of 14 highly similar segments were identified in the investigated vaccines. Structural and antigenicity prediction analysis showed that, among the identified patterns, three segments in Hepatitis B, Tetanus, and Measles proteins presented antigenic properties that can induce putative protective effect against COVID-19. Conclusions Our results suggest a possible protective effect of HBV, Tetanus and Measles vaccines against COVID-19, which may explain the variation of the disease severity among regions. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-021-04045-3.
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Affiliation(s)
- Sondes Haddad-Boubaker
- Laboratory of Clinical Virology, WHO Regional Reference Laboratory for Poliomyelitis and Measles for the EMR, Institut Pasteur de Tunis, University of Tunis El Manar, 13 place Pasteur, BP74 1002 le Belvédère, Tunis, Tunisia. .,LR20IPT10 Laboratory of Virus, Host and Vectors, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.
| | - Houcemeddine Othman
- Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa
| | - Rabeb Touati
- LR99ES10 Human Genetics Laboratory, Faculty of Medicine of Tunis (FMT), University of Tunis El Manar, Tunis, Tunisia
| | - Kaouther Ayouni
- Laboratory of Clinical Virology, WHO Regional Reference Laboratory for Poliomyelitis and Measles for the EMR, Institut Pasteur de Tunis, University of Tunis El Manar, 13 place Pasteur, BP74 1002 le Belvédère, Tunis, Tunisia.,LR20IPT10 Laboratory of Virus, Host and Vectors, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Marwa Lakhal
- LR99ES10 Human Genetics Laboratory, Faculty of Medicine of Tunis (FMT), University of Tunis El Manar, Tunis, Tunisia
| | - Imen Ben Mustapha
- LR11-IPT02 Laboratory of Transmission, Control and Immunobiology of Infections, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Kais Ghedira
- LR16IPT09 Laboratory of Biomathematics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Maher Kharrat
- LR99ES10 Human Genetics Laboratory, Faculty of Medicine of Tunis (FMT), University of Tunis El Manar, Tunis, Tunisia
| | - Henda Triki
- Laboratory of Clinical Virology, WHO Regional Reference Laboratory for Poliomyelitis and Measles for the EMR, Institut Pasteur de Tunis, University of Tunis El Manar, 13 place Pasteur, BP74 1002 le Belvédère, Tunis, Tunisia.,LR20IPT10 Laboratory of Virus, Host and Vectors, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
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Jungreis I, Nelson CW, Ardern Z, Finkel Y, Krogan NJ, Sato K, Ziebuhr J, Stern-Ginossar N, Pavesi A, Firth AE, Gorbalenya AE, Kellis M. Conflicting and ambiguous names of overlapping ORFs in the SARS-CoV-2 genome: A homology-based resolution. Virology 2021; 558:145-151. [PMID: 33774510 PMCID: PMC7967279 DOI: 10.1016/j.virol.2021.02.013] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 02/21/2021] [Accepted: 02/22/2021] [Indexed: 12/14/2022]
Abstract
At least six small alternative-frame open reading frames (ORFs) overlapping well-characterized SARS-CoV-2 genes have been hypothesized to encode accessory proteins. Researchers have used different names for the same ORF or the same name for different ORFs, resulting in erroneous homological and functional inferences. We propose standard names for these ORFs and their shorter isoforms, developed in consultation with the Coronaviridae Study Group of the International Committee on Taxonomy of Viruses. We recommend calling the 39 codon Spike-overlapping ORF ORF2b; the 41, 57, and 22 codon ORF3a-overlapping ORFs ORF3c, ORF3d, and ORF3b; the 33 codon ORF3d isoform ORF3d-2; and the 97 and 73 codon Nucleocapsid-overlapping ORFs ORF9b and ORF9c. Finally, we document conflicting usage of the name ORF3b in 32 studies, and consequent erroneous inferences, stressing the importance of reserving identical names for homologs. We recommend that authors referring to these ORFs provide lengths and coordinates to minimize ambiguity caused by prior usage of alternative names.
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Affiliation(s)
- Irwin Jungreis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
| | - Chase W Nelson
- Biodiversity Research Center, Academia Sinica, Taipei, 115, Taiwan; Institute for Comparative Genomics, American Museum of Natural History, New York City, NY, 10024, USA
| | - Zachary Ardern
- Chair of Microbial Ecology, Technical University of Munich, 85354, Germany
| | - Yaara Finkel
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, 94158, USA; J. David Gladstone Institutes, San Francisco, CA, 94158, USA
| | - Kei Sato
- Division of Systems Virology, Department of Infectious Disease Control, Institute of Medical Science, The University of Tokyo, 1088639, Tokyo, Japan
| | - John Ziebuhr
- Institute of Medical Virology, Justus Liebig University Giessen, 35392, Giessen, Germany
| | - Noam Stern-Ginossar
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Angelo Pavesi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Italy
| | - Andrew E Firth
- Division of Virology, Department of Pathology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Alexander E Gorbalenya
- Department of Medical Microbiology, Leiden University Medical Center, 2300 RC, Leiden, the Netherlands; Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, 119899, Moscow, Russia
| | - Manolis Kellis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
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Kaur M, Sharma A, Kumar S, Singh G, Barnwal RP. SARS-CoV-2: Insights into its structural intricacies and functional aspects for drug and vaccine development. Int J Biol Macromol 2021; 179:45-60. [PMID: 33662418 PMCID: PMC7919520 DOI: 10.1016/j.ijbiomac.2021.02.212] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 01/04/2021] [Accepted: 02/27/2021] [Indexed: 12/11/2022]
Abstract
Globally, SARS-CoV-2 has emerged as threat to life and economy. Researchers are trying to find a cure against this pathogen but without much success. Several attempts have been made to understand the atomic level details of SARS-CoV-2 in the past few months. However, one review with all structural details for drug and vaccine development has been missing. Hence, this review aims to summarize key functional roles played by various domains of SARS-CoV-2 genome during its entry into the host, replication, repression of host immune response and overall viral life cycle. Additionally, various proteins of SARS-CoV-2 for finding a potent inhibitor have also been highlighted. To mitigate this deadly virus, an understanding of atomic level information, pathogenicity mechanisms and functions of different proteins in causing the infection is imperative. Thus, these structural details would finally pave the way for development of a potential drug/vaccine against the disease caused by SARS-CoV-2.
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Affiliation(s)
- Mandeep Kaur
- Department of Biophysics, Panjab University, Chandigarh 160014, India
| | - Akanksha Sharma
- Department of Biophysics, Panjab University, Chandigarh 160014, India; UIPS, Panjab University, Chandigarh 160014, India
| | - Santosh Kumar
- Department of Biotechnology, Panjab University, Chandigarh 160014, India
| | - Gurpal Singh
- UIPS, Panjab University, Chandigarh 160014, India
| | - Ravi P Barnwal
- Department of Biophysics, Panjab University, Chandigarh 160014, India.
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Probing SARS-CoV-2 sequence diversity of Pakistani isolates. INFECTION GENETICS AND EVOLUTION 2021; 90:104752. [PMID: 33545393 PMCID: PMC8035043 DOI: 10.1016/j.meegid.2021.104752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 01/17/2021] [Accepted: 01/29/2021] [Indexed: 11/21/2022]
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Mutational analysis of SARS-CoV-2 ORF8 during six months of COVID-19 pandemic. GENE REPORTS 2021; 23:101024. [PMID: 33490718 PMCID: PMC7813478 DOI: 10.1016/j.genrep.2021.101024] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 12/14/2020] [Accepted: 01/04/2021] [Indexed: 01/04/2023]
Abstract
SARS-CoV-2, the causal agent of COVID 19, is a new human pathogen that appeared in Wuhan, late December 2019. SARS-CoV-2 is a positive sense RNA virus, having four structural and six accessory proteins including that encoded by ORF8 gene known to be one of the most hypervariable and rapidly evolving genes. Thus, global characterization of mutations in this gene is important for pathogenicity and diagnostics. 240 different nonsynonymous mutations and 2 deletions were identified in 45,400 ORF8 nucleotide sequences during six months pandemic with about half of these variants were deleterious for ORF8, and the quarter of them were located in conserved amino acids. Genetic diversity analysis showed two main regions that harbor L84S and S24L. L84S is by far the most predominant mutation, followed by S24L that appeared first in USA. Phylogenetic analysis of ORF8 variants revealed the appearance of small clades with that of L84S being closer to bats. This is the first study that revealed the global nonsynonymous mutations in ORF8 from January to June 2020.
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Cavasotto CN, Lamas MS, Maggini J. Functional and druggability analysis of the SARS-CoV-2 proteome. Eur J Pharmacol 2021; 890:173705. [PMID: 33137330 PMCID: PMC7604074 DOI: 10.1016/j.ejphar.2020.173705] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/21/2020] [Accepted: 10/29/2020] [Indexed: 02/08/2023]
Abstract
The infectious coronavirus disease (COVID-19) pandemic, caused by the coronavirus SARS-CoV-2, appeared in December 2019 in Wuhan, China, and has spread worldwide. As of today, more than 46 million people have been infected and over 1.2 million fatalities. With the purpose of contributing to the development of effective therapeutics, we performed an in silico determination of binding hot-spots and an assessment of their druggability within the complete SARS-CoV-2 proteome. All structural, non-structural, and accessory proteins have been studied, and whenever experimental structural data of SARS-CoV-2 proteins were not available, homology models were built based on solved SARS-CoV structures. Several potential allosteric or protein-protein interaction druggable sites on different viral targets were identified, knowledge that could be used to expand current drug discovery endeavors beyond the currently explored cysteine proteases and the polymerase complex. It is our hope that this study will support the efforts of the scientific community both in understanding the molecular determinants of this disease and in widening the repertoire of viral targets in the quest for repurposed or novel drugs against COVID-19.
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Affiliation(s)
- Claudio N Cavasotto
- Computational Drug Design and Biomedical Informatics Laboratory, Translational Medicine Research Institute (IIMT), CONICET-Universidad Austral, Pilar, Buenos Aires, Argentina; Facultad de Ciencias Biomédicas, Facultad de Ingeniería, Universidad Austral, Pilar, Buenos Aires, Argentina; Austral Institute for Applied Artificial Intelligence, Universidad Austral, Pilar, Buenos Aires, Argentina.
| | - Maximiliano Sánchez Lamas
- Austral Institute for Applied Artificial Intelligence, Universidad Austral, Pilar, Buenos Aires, Argentina; Meton AI, Inc., Wilmington, DE, 19801, USA
| | - Julián Maggini
- Austral Institute for Applied Artificial Intelligence, Universidad Austral, Pilar, Buenos Aires, Argentina; Technology Transfer Office, Universidad Austral, Pilar, Buenos Aires, Argentina
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