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Jiao Y, Zhao P, Xu LD, Yu JQ, Cai HL, Zhang C, Tong C, Yang YL, Xu P, Sun Q, Chen N, Wang B, Huang YW. Enteric coronavirus nsp2 is a virulence determinant that recruits NBR1 for autophagic targeting of TBK1 to diminish the innate immune response. Autophagy 2024; 20:1762-1779. [PMID: 38597182 PMCID: PMC11262224 DOI: 10.1080/15548627.2024.2340420] [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: 09/22/2023] [Accepted: 04/04/2024] [Indexed: 04/11/2024] Open
Abstract
Non-structural protein 2 (nsp2) exists in all coronaviruses (CoVs), while its primary function in viral pathogenicity, is largely unclear. One such enteric CoV, porcine epidemic diarrhea virus (PEDV), causes high mortality in neonatal piglets worldwide. To determine the biological role of nsp2, we generated a PEDV mutant containing a complete nsp2 deletion (rPEDV-Δnsp2) from a highly pathogenic strain by reverse genetics, showing that nsp2 was dispensable for PEDV infection, while its deficiency reduced viral replication in vitro. Intriguingly, rPEDV-Δnsp2 was entirely avirulent in vivo, with significantly increased productions of IFNB (interferon beta) and IFN-stimulated genes (ISGs) in various intestinal tissues of challenged newborn piglets. Notably, nsp2 targets and degrades TBK1 (TANK binding kinase 1), the critical kinase in the innate immune response. Mechanistically, nsp2 induced the macroautophagy/autophagy process and recruited a selective autophagic receptor, NBR1 (NBR1 autophagy cargo receptor). NBR1 subsequently facilitated the K48-linked ubiquitination of TBK1 and delivered it for autophagosome-mediated degradation. Accordingly, the replication of rPEDV-Δnsp2 CoV was restrained by reduced autophagy and excess productions of type I IFNs and ISGs. Our data collectively define enteric CoV nsp2 as a novel virulence determinant, propose a crucial role of nsp2 in diminishing innate antiviral immunity by targeting TBK1 for NBR1-mediated selective autophagy, and pave the way to develop a new type of nsp2-based attenuated PEDV vaccine. The study also provides new insights into the prevention and treatment of other pathogenic CoVs.Abbreviations: 3-MA: 3-methyladenine; Baf A1: bafilomycin A1; CoV: coronavirus; CQ: chloroquine; dpi: days post-inoculation; DMVs: double-membrane vesicles; GABARAP: GABA type A receptor-associated protein; GFP: green fluorescent protein; GIGYF2: GRB10 interacting GYF protein 2; hpi: hours post-infection; IFA: immunofluorescence assay; IFIH1: interferon induced with helicase C domain 1; IFIT2: interferon induced protein with tetratricopeptide repeats 2; IFITM1: interferon induced transmembrane protein 1; IFNB: interferon beta; IRF3: interferon regulatory factor 3; ISGs: interferon-stimulated genes; mAb: monoclonal antibody; MAP1LC3/LC3: microtubule associated protein 1 light chain 3; MAVS: mitochondrial antiviral signaling protein; NBR1: NBR1 autophagy cargo receptor; nsp2: non-structural protein 2; OAS1: 2'-5'-oligoadenylate synthetase 1; PEDV: porcine epidemic diarrhea virus; PRRs: pattern recognition receptors; RIGI: RNA sensor RIG-I; RT-qPCR: reverse transcription quantitative polymerase chain reaction; SQSTM1: sequestosome 1; TBK1: TANK binding kinase 1; TCID50: 50% tissue culture infectious doses; VSV: vesicular stomatitis virus.
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Affiliation(s)
- Yajuan Jiao
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Pengwei Zhao
- Department of Biochemistry and Department of Cardiology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ling-Dong Xu
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
- MOE Laboratory of Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling Network, Life Sciences Institute, Zhejiang University, Hangzhou, China
| | - Jia-Qi Yu
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
| | - Hou-Li Cai
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
| | - Chong Zhang
- Boehringer Ingelheim Vetmedica (China) Co. Ltd, Taizhou, China
| | - Chao Tong
- Boehringer Ingelheim Vetmedica (China) Co. Ltd, Taizhou, China
| | - Yong-Le Yang
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
| | - Pinglong Xu
- MOE Laboratory of Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling Network, Life Sciences Institute, Zhejiang University, Hangzhou, China
| | - Qiming Sun
- Department of Biochemistry and Department of Cardiology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ning Chen
- Boehringer Ingelheim Vetmedica (China) Co. Ltd, Taizhou, China
| | - Bin Wang
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Yao-Wei Huang
- Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, China
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Chen H, Wan J, Wei M, Liu P, Kong L, Xin X. Expression and immunogenicity of non-structural protein 8 of porcine epidemic diarrhea virus. VETERINARY RESEARCH FORUM : AN INTERNATIONAL QUARTERLY JOURNAL 2024; 15:65-73. [PMID: 38465319 PMCID: PMC10924293 DOI: 10.30466/vrf.2023.2009322.3977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/05/2023] [Indexed: 03/12/2024]
Abstract
The non-structural protein (nsp) 8 of the porcine epidemic diarrhea virus (PEDV) is highly stable across different PEDV strains and plays an important role in PEDV virulence. In current study, nsp8 prokaryotic expression vectors were constructed based on parental vectors pMAL-c2x-maltose binding protein (MBP) and pET-28a (+). Subsequently, the optimization of expression conditions in Escherichia coli, including induced temperature, time and isopropyl β-D-thiogalactopyranoside concentration were performed to obtain a stable expression of MBP-nsp8 and nsp8. The nsp8 fused with MBP increased the water solubility of the expressed products. Target proteins were further purified from E. coli culture and their immunogenicities were evaluated in vivo by mice. The antibody titers of serum from nsp8 immunized mice were up to 1:7,750,000 when measured by indirect enzyme-linked immunosorbent assay; meanwhile, the mice immunized with MBP-nsp8 gave an antibody titer reaching 1:1,000,000. In all, the expression and purification system of PEDV nsp8 and MBP-nsp8 were successfully established in this work and a strong immune response was elicited in mice by both purified nsp8 and MBP-nsp8, providing a basis for the study of the structure and function of PEDV nsp8.
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Affiliation(s)
- Hong Chen
- Institute of Pathogenic Microbiology, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China;
- Nanchang Key Laboratory of Animal Virus and Genetic Engineering, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China.
| | - Jiawu Wan
- Institute of Pathogenic Microbiology, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China;
- Nanchang Key Laboratory of Animal Virus and Genetic Engineering, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China.
| | - Meihua Wei
- Institute of Pathogenic Microbiology, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China;
- Nanchang Key Laboratory of Animal Virus and Genetic Engineering, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China.
| | - Ping Liu
- Institute of Pathogenic Microbiology, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China;
- Nanchang Key Laboratory of Animal Virus and Genetic Engineering, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China.
| | - Lingbao Kong
- Institute of Pathogenic Microbiology, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China;
- Nanchang Key Laboratory of Animal Virus and Genetic Engineering, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China.
| | - Xiu Xin
- Institute of Pathogenic Microbiology, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China;
- Nanchang Key Laboratory of Animal Virus and Genetic Engineering, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China.
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Tebha SS, Tameezuddin A, Bajpai S, Zaidi AK. SARS-CoV-2-Virus structure and life cycle. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2024; 202:1-23. [PMID: 38237982 DOI: 10.1016/bs.pmbts.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
This book chapter presents a concise overview of SARS-CoV-2, the virus responsible for the COVID-19 pandemic. It explores viral classification based on morphology and nucleic acid composition with a focus on DNA and RNA viruses, the SARS-CoV-2 structure including the structural as well as nonstructural proteins in detail, and the viral replication mechanisms. The chapter then delves into the characteristics and diversity of coronaviruses, particularly SARS-CoV-2, highlighting its similarities with other beta-coronaviruses. The replication and transcription complex, RNA elongation, and capping, as well as the role of accessory proteins in viral replication and modulation of the host immune response is discussed extensively.
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Affiliation(s)
- Sameer Saleem Tebha
- Jinnah Medical and Dental College, Karachi, Pakistan; Department of Research, Larkins Community Hospital, South Miami, Florida, USA
| | | | - Sanchit Bajpai
- Consultant ENT & Head and Neck Surgeon at TSM Medical College and Multispeciality Hospital, Lucknow, India
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Jin B, Oyama R, Tabe Y, Tsuchiya K, Hando T, Wakita M, Yan Y, Saita M, Takei S, Horiuchi Y, Miida T, Naito T, Takahashi K, Ogawa H. Investigation of the individual genetic evolution of SARS-CoV-2 in a small cluster during the rapid spread of the BF.5 lineage in Tokyo, Japan. Front Microbiol 2023; 14:1229234. [PMID: 37744926 PMCID: PMC10516552 DOI: 10.3389/fmicb.2023.1229234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/17/2023] [Indexed: 09/26/2023] Open
Abstract
There has been a decreasing trend in new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases and fatalities worldwide. The virus has been evolving, indicating the potential emergence of new variants and uncertainties. These challenges necessitate continued efforts in disease control and mitigation strategies. We investigated a small cluster of SARS-CoV-2 Omicron variant infections containing a common set of genomic mutations, which provided a valuable model for investigating the transmission mechanism of genetic alterations. We conducted a study at a medical center in Japan during the Omicron surge (sub-lineage BA.5), sequencing the entire SARS-CoV-2 genomes from infected individuals and evaluating the phylogenetic tree and haplotype network among the variants. We compared the mutations present in each strain within the BA.5 strain, TKYnat2317, which was first identified in Tokyo, Japan. From June 29th to July 4th 2022, nine healthcare workers (HCWs) tested positive for SARS-CoV-2 by real-time PCR. During the same period, five patients also tested positive by real-time PCR. Whole genome sequencing revealed that the infected patients belonged to either the isolated BA.2 or BA.5 sub-lineage, while the healthcare worker infections were classified as BF.5. The phylogenetic tree and haplotype network clearly showed the specificity and similarity of the HCW cluster. We identified 12 common mutations in the cluster, including I110V in nonstructural protein 4 (nsp4), A1020S in the Spike protein, and H47Y in ORF7a, compared to the BA.5 reference. Additionally, one case had the extra nucleotide-deletion mutation I27* in ORF10, and low frequencies of genetic alterations were also found in certain instances. The results of genome sequencing showed that the nine HCWs shared a set of genetic mutations, indicating transmission within the cluster. Minor mutations observed in five HCW individuals suggested the emergence of new virus variants. Five amino acid substitutions occurred in nsp3, which could potentially affect virus replication or immune escape. Intra-host evolution also generated additional mutations. The cluster exhibited a mild disease course, with individuals in this case, recovering without requiring any medical treatments. Further investigation is needed to understand the relationship between the genetic evolution of the virus and the symptoms.
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Affiliation(s)
- Bo Jin
- Department of Clinical Laboratory, Peking University First Hospital, Beijing, China
| | - Rieko Oyama
- Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yoko Tabe
- Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Koji Tsuchiya
- Department of Clinical Laboratory, Juntendo University Hospital, Tokyo, Japan
| | - Tetsuya Hando
- Department of Clinical Laboratory, Juntendo University Hospital, Tokyo, Japan
| | - Mitsuru Wakita
- Department of Clinical Laboratory, Juntendo University Hospital, Tokyo, Japan
| | - Yan Yan
- Department of General Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mizue Saita
- Department of General Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Satomi Takei
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yuki Horiuchi
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takashi Miida
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Toshio Naito
- Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of General Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kazuhisa Takahashi
- Department of Research Support Utilizing Bioresource Bank, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hideoki Ogawa
- Department of Dermatology, Juntendo University Graduate School of Medicine, Tokyo, Japan
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5
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Kumar P, Kumar A, Garg N, Giri R. An insight into SARS-CoV-2 membrane protein interaction with spike, envelope, and nucleocapsid proteins. J Biomol Struct Dyn 2023; 41:1062-1071. [PMID: 34913847 DOI: 10.1080/07391102.2021.2016490] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Intraviral protein-protein interactions are crucial for replication, pathogenicity, and viral assembly. Among these, virus assembly is a critical step as it regulates the arrangements of viral structural proteins and helps in the encapsulation of genomic material. SARS-CoV-2 structural proteins play an essential role in the self-rearrangement, RNA encapsulation, and mature virus particle formation. In SARS-CoV, the membrane protein interacts with the envelope and spike protein in Endoplasmic Reticulum Golgi Intermediate Complex (ERGIC) to form an assembly in the lipid bilayer, followed by membrane-ribonucleoprotein (nucleocapsid) interaction. In this study, we tried to understand the interaction of membrane protein's interaction with envelope, spike, and nucleocapsid proteins using protein-protein docking. Further, simulation studies were performed up to 100 ns to examine the stability of protein-protein complexes of Membrane-Envelope, Membrane-Spike, and Membrane-Nucleocapsid proteins. Prime MM-GBSA showed high binding energy calculations for the simulated structures than the docked complex. The interactions identified in our study will be of great importance, as it provides valuable insight into the protein-protein complex, which could be the potential drug targets for future studies.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Prateek Kumar
- School of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Mandi, Himachal Pradesh, India
| | - Amit Kumar
- School of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Mandi, Himachal Pradesh, India
| | - Neha Garg
- Department of Medicinal Chemistry, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Rajanish Giri
- School of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Mandi, Himachal Pradesh, India
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6
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Chen Y, Duan C, Chen K, Sun S, Zhang D, Meng X. Screening technology of cyclic peptide library based on gene encoding. MEDICINE IN DRUG DISCOVERY 2022. [DOI: 10.1016/j.medidd.2022.100145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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7
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Molecular Dynamics Simulations to Decipher the Role of Phosphorylation of SARS-CoV-2 Nonstructural Proteins (nsps) in Viral Replication. Viruses 2022; 14:v14112436. [PMID: 36366534 PMCID: PMC9693435 DOI: 10.3390/v14112436] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/19/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022] Open
Abstract
Protein phosphorylation is a post-translational modification that enables various cellular activities and plays essential roles in protein interactions. Phosphorylation is an important process for the replication of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). To shed more light on the effects of phosphorylation, we used an ensemble of neural networks to predict potential kinases that might phosphorylate SARS-CoV-2 nonstructural proteins (nsps) and molecular dynamics (MD) simulations to investigate the effects of phosphorylation on nsps structure, which could be a potential inhibitory target to attenuate viral replication. Eight target candidate sites were found as top-ranked phosphorylation sites of SARS-CoV-2. During the process of molecular dynamics (MD) simulation, the root-mean-square deviation (RMSD) analysis was used to measure conformational changes in each nsps. Root-mean-square fluctuation (RMSF) was employed to measure the fluctuation in each residue of 36 systems considered, allowing us to evaluate the most flexible regions. These analysis shows that there are significant structural deviations in the residues namely nsp1 THR 72, nsp2 THR 73, nsp3 SER 64, nsp4 SER 81, nsp4 SER 455, nsp5 SER284, nsp6 THR 238, and nsp16 SER 132. The identified list of residues suggests how phosphorylation affects SARS-CoV-2 nsps function and stability. This research also suggests that kinase inhibitors could be a possible component for evaluating drug binding studies, which are crucial in therapeutic discovery research.
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Wang L, Tan H, Medina-Puche L, Wu M, Garnelo Gomez B, Gao M, Shi C, Jimenez-Gongora T, Fan P, Ding X, Zhang D, Ding Y, Rosas-Díaz T, Liu Y, Aguilar E, Fu X, Lozano-Durán R. Combinatorial interactions between viral proteins expand the potential functional landscape of the tomato yellow leaf curl virus proteome. PLoS Pathog 2022; 18:e1010909. [PMID: 36256684 PMCID: PMC9633003 DOI: 10.1371/journal.ppat.1010909] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 11/03/2022] [Accepted: 09/30/2022] [Indexed: 11/06/2022] Open
Abstract
Viruses manipulate the cells they infect in order to replicate and spread. Due to strict size restrictions, viral genomes have reduced genetic space; how the action of the limited number of viral proteins results in the cell reprogramming observed during the infection is a long-standing question. Here, we explore the hypothesis that combinatorial interactions may expand the functional landscape of the viral proteome. We show that the proteins encoded by a plant-infecting DNA virus, the geminivirus tomato yellow leaf curl virus (TYLCV), physically associate with one another in an intricate network, as detected by a number of protein-protein interaction techniques. Importantly, our results indicate that intra-viral protein-protein interactions can modify the subcellular localization of the proteins involved. Using one particular pairwise interaction, that between the virus-encoded C2 and CP proteins, as proof-of-concept, we demonstrate that the combination of viral proteins leads to novel transcriptional effects on the host cell. Taken together, our results underscore the importance of studying viral protein function in the context of the infection. We propose a model in which viral proteins might have evolved to extensively interact with other elements within the viral proteome, enlarging the potential functional landscape available to the pathogen. Viruses are obligate intracellular parasites that depend on the molecular machinery of their host cell to complete their life cycle. For this purpose, viruses co-opt host processes, modulating or redirecting them. Most viruses have small genomes, and hence limited coding capacity. During the viral invasion, virus-encoded proteins will be produced in large amounts and coexist in the infected cell, which enables physical or functional interactions among viral proteins, potentially expanding the virus-host functional interface by increasing the number of potential targets in the host cell and/or synergistically modulating the cellular environment. Examples of interactions between viral proteins have been recently documented for both animal and plant viruses; however, the hypothesis that viral proteins might have a combinatorial effect, which would lead to the acquisition of novel functions, lacks systematic experimental validation. Here, we use the geminivirus tomato yellow leaf curl virus (TYLCV), a plant-infecting virus with reduced proteome and causing devastating diseases in crops, to test the idea that combinatorial interactions between viral proteins exist and might underlie an expansion of the functional landscape of the viral proteome. Our results indicate that viral proteins prevalently interact with one another in the context of the infection, which can result in the acquisition of novel functions.
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Affiliation(s)
- Liping Wang
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Huang Tan
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- University of the Chinese Academy of Sciences, Beijing, China
- Department of Plant Biochemistry, Center for Plant Molecular Biology (ZMBP), Eberhard Karls University, Tübingen, Germany
| | - Laura Medina-Puche
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- Department of Plant Biochemistry, Center for Plant Molecular Biology (ZMBP), Eberhard Karls University, Tübingen, Germany
| | - Mengshi Wu
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Borja Garnelo Gomez
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Man Gao
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Chaonan Shi
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- Department of Plant Biochemistry, Center for Plant Molecular Biology (ZMBP), Eberhard Karls University, Tübingen, Germany
| | - Tamara Jimenez-Gongora
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Pengfei Fan
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Xue Ding
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Dan Zhang
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Yi Ding
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Tábata Rosas-Díaz
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yujing Liu
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Emmanuel Aguilar
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- Instituto de Hortofruticultura Subtropical y Mediterránea “La Mayora” (IHSM-UMA-CSIC), Area de Genética, Facultad de Ciencias, Universidad de Málaga, Campus de Teatinos s/n, Málaga, Spain
| | - Xing Fu
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Rosa Lozano-Durán
- Shanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China
- Department of Plant Biochemistry, Center for Plant Molecular Biology (ZMBP), Eberhard Karls University, Tübingen, Germany
- * E-mail:
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Yuyukina SK, Zharkov DO. Mechanisms of Coronavirus Genome Stability As Potential Targets for Antiviral Drugs. HERALD OF THE RUSSIAN ACADEMY OF SCIENCES 2022; 92:470-478. [PMID: 36091852 PMCID: PMC9447942 DOI: 10.1134/s1019331622040256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 02/25/2022] [Accepted: 03/14/2022] [Indexed: 06/15/2023]
Abstract
The COVID-19 pandemic has made it necessary to create antivirals active against the SARS-CoV-2 coronavirus. One of the widely used strategies to fight off viral infections is the use of modified nucleoside analogues that inhibit viral replication by incorporating DNA or RNA into the growing chain, thus stopping its synthesis. The difficulty of using this method of treatment in the case of SARS-CoV-2 is that coronaviruses have an effective mechanism for maintaining genome stability. Its central element is the nsp14 protein, which is characterized by exonuclease activity, due to which incorrectly included and noncanonical nucleotides are removed from the 3' end of the growing RNA chain. Inhibitors of nsp14 exonuclease and nucleoside analogues resistant to its action are viewed as potential targets for anticoronavirus therapy.
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Affiliation(s)
- S. K. Yuyukina
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - D. O. Zharkov
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
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Hossain A, Akter S, Rashid AA, Khair S, Alam ASMRU. Unique mutations in SARS-CoV-2 omicron subvariants' non-spike proteins: Potential impact on viral pathogenesis and host immune evasion. Microb Pathog 2022; 170:105699. [PMID: 35944840 PMCID: PMC9356572 DOI: 10.1016/j.micpath.2022.105699] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 07/27/2022] [Accepted: 07/28/2022] [Indexed: 12/20/2022]
Affiliation(s)
- Anamica Hossain
- Department of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Shammi Akter
- Department of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Alfi Anjum Rashid
- Department of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh
| | - Sabik Khair
- Department of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh
| | - A S M Rubayet Ul Alam
- Department of Microbiology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
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Saha S, Halder AK, Bandyopadhyay SS, Chatterjee P, Nasipuri M, Basu S. Computational modeling of human-nCoV protein-protein interaction network. Methods 2022; 203:488-497. [PMID: 34902553 PMCID: PMC8662836 DOI: 10.1016/j.ymeth.2021.12.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 11/30/2021] [Accepted: 12/06/2021] [Indexed: 01/25/2023] Open
Abstract
Novel coronavirus(SARS-CoV2) replicates the host cell's genome by interacting with the host proteins. Due to this fact, the identification of virus and host protein-protein interactions could be beneficial in understanding the disease transmission behavior of the virus as well as in potential COVID-19 drug identification. International Committee on Taxonomy of Viruses (ICTV) has declared that nCoV is highly genetically similar to the SARS-CoV epidemic in 2003 (∼89% similarity). With this hypothesis, the present work focuses on developing a computational model for the nCoV-Human protein interaction network, using the experimentally validated SARS-CoV-Human protein interactions. Initially, level-1 and level-2 human spreader proteins are identified in the SARS-CoV-Human interaction network, using Susceptible-Infected-Susceptible (SIS) model. These proteins are considered potential human targets for nCoV bait proteins. A gene-ontology-based fuzzy affinity function has been used to construct the nCoV-Human protein interaction network at a ∼99.98% specificity threshold. This also identifies 37 level-1 human spreaders for COVID-19 in the human protein-interaction network. 2474 level-2 human spreaders are subsequently identified using the SIS model. The derived host-pathogen interaction network is finally validated using six potential FDA-listed drugs for COVID-19 with significant overlap between the known drug target proteins and the identified spreader proteins.
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Affiliation(s)
- Sovan Saha
- Department of Computer Science & Engineering, Institute of Engineering & Management, Salt Lake Electronics Complex, Kolkata 700091, West Bengal, India
| | - Anup Kumar Halder
- Department of Computer Science & Engineering, University of Engineering & Management, Kolkata 700156, West Bengal, India
| | - Soumyendu Sekhar Bandyopadhyay
- Department of Computer Science & Engineering, School of Engineering and Technology, Adamas University, Kolkata 700126, West Bengal, India; Department of Computer Science & Engineering, Jadavpur University, Jadavpur, Kolkata, West Bengal 700032, India
| | - Piyali Chatterjee
- Department of Computer Science & Engineering, Netaji Subhash Engineering College, Garia, Kolkata, West Bengal 700152, India
| | - Mita Nasipuri
- Department of Computer Science & Engineering, Jadavpur University, Jadavpur, Kolkata, West Bengal 700032, India
| | - Subhadip Basu
- Department of Computer Science & Engineering, Jadavpur University, Jadavpur, Kolkata, West Bengal 700032, India.
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12
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Grellet E, L'Hôte I, Goulet A, Imbert I. Replication of the coronavirus genome: A paradox among positive-strand RNA viruses. J Biol Chem 2022; 298:101923. [PMID: 35413290 PMCID: PMC8994683 DOI: 10.1016/j.jbc.2022.101923] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 03/22/2022] [Accepted: 03/24/2022] [Indexed: 01/18/2023] Open
Abstract
Coronavirus (CoV) genomes consist of positive-sense single-stranded RNA and are among the largest viral RNAs known to date (∼30 kb). As a result, CoVs deploy sophisticated mechanisms to replicate these extraordinarily large genomes as well as to transcribe subgenomic messenger RNAs. Since 2003, with the emergence of three highly pathogenic CoVs (SARS-CoV, MERS-CoV, and SARS-CoV-2), significant progress has been made in the molecular characterization of the viral proteins and key mechanisms involved in CoV RNA genome replication. For example, to allow for the maintenance and integrity of their large RNA genomes, CoVs have acquired RNA proofreading 3'-5' exoribonuclease activity (in nonstructural protein nsp14). In order to replicate the large genome, the viral-RNA-dependent RNA polymerase (RdRp; in nsp12) is supplemented by a processivity factor (made of the viral complex nsp7/nsp8), making it the fastest known RdRp. Lastly, a viral structural protein, the nucleocapsid (N) protein, which is primarily involved in genome encapsidation, is required for efficient viral replication and transcription. Therefore, CoVs are a paradox among positive-strand RNA viruses in the sense that they use both a processivity factor and have proofreading activity reminiscent of DNA organisms in addition to structural proteins that mediate efficient RNA synthesis, commonly used by negative-strand RNA viruses. In this review, we present a historical perspective of these unsuspected discoveries and detail the current knowledge on the core replicative machinery deployed by CoVs.
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Affiliation(s)
- Emeline Grellet
- Aix Marseille Université, Centre National de la Recherche Scientifique, AMU CNRS UMR 7255, LISM, Marseille, France
| | - India L'Hôte
- Aix Marseille Université, Centre National de la Recherche Scientifique, AMU CNRS UMR 7255, LISM, Marseille, France
| | - Adeline Goulet
- Aix Marseille Université, Centre National de la Recherche Scientifique, AMU CNRS UMR 7255, LISM, Marseille, France
| | - Isabelle Imbert
- Aix Marseille Université, Centre National de la Recherche Scientifique, AMU CNRS UMR 7255, LISM, Marseille, France.
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13
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Echeverria I, Braberg H, Krogan NJ, Sali A. Integrative structure determination of histones H3 and H4 using genetic interactions. FEBS J 2022; 290:2565-2575. [PMID: 35298864 PMCID: PMC9481981 DOI: 10.1111/febs.16435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 02/11/2022] [Accepted: 03/15/2022] [Indexed: 11/28/2022]
Abstract
Integrative structure modeling is increasingly used for determining the architectures of biological assemblies, especially those that are structurally heterogeneous. Recently, we reported on how to convert in vivo genetic interaction measurements into spatial restraints for structural modeling: first, phenotypic profiles are generated for each point mutation and thousands of gene deletions or environmental perturbations. Following, the phenotypic profile similarities are converted into distance restraints on the pairs of mutated residues. We illustrate the approach by determining the structure of the histone H3-H4 complex. The method is implemented in our open-source IMP program, expanding the structural biology toolbox by allowing structural characterization based on in vivo data without the need to purify the target system. We compare genetic interaction measurements to other sources of structural information, such as residue coevolution and deep-learning structure prediction of complex subunits. We also suggest that determining genetic interactions could benefit from new technologies, such as CRISPR-Cas9 approaches to gene editing, especially for mammalian cells. Finally, we highlight the opportunity for using genetic interactions to determine recalcitrant biomolecular structures, such as those of disordered proteins, transient protein assemblies, and host-pathogen protein complexes.
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Affiliation(s)
- Ignacia Echeverria
- Department of Cellular and Molecular Pharmacology University of California, San Francisco CA USA
- Quantitative Biosciences Institute University of California, San Francisco CA USA
- Department of Bioengineering and Therapeutic Sciences University of California, San Francisco CA USA
| | - Hannes Braberg
- Department of Cellular and Molecular Pharmacology University of California, San Francisco CA USA
- Quantitative Biosciences Institute University of California, San Francisco CA USA
| | - Nevan J. Krogan
- Department of Cellular and Molecular Pharmacology University of California, San Francisco CA USA
- Quantitative Biosciences Institute University of California, San Francisco CA USA
- Gladstone Institute of Data Science and Biotechnology J. David Gladstone Institutes San Francisco CA USA
| | - Andrej Sali
- Quantitative Biosciences Institute University of California, San Francisco CA USA
- Department of Bioengineering and Therapeutic Sciences University of California, San Francisco CA USA
- Department of Pharmaceutical Chemistry University of California, San Francisco CA USA
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14
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Esposito S, D’Abrosca G, Antolak A, Pedone PV, Isernia C, Malgieri G. Host and Viral Zinc-Finger Proteins in COVID-19. Int J Mol Sci 2022; 23:ijms23073711. [PMID: 35409070 PMCID: PMC8998646 DOI: 10.3390/ijms23073711] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/24/2022] [Accepted: 03/25/2022] [Indexed: 01/08/2023] Open
Abstract
An unprecedented effort to tackle the ongoing COVID-19 pandemic has characterized the activity of the global scientific community over the last two years. Hundreds of published studies have focused on the comprehension of the immune response to the virus and on the definition of the functional role of SARS-CoV-2 proteins. Proteins containing zinc fingers, both belonging to SARS-CoV-2 or to the host, play critical roles in COVID-19 participating in antiviral defenses and regulation of viral life cycle. Differentially expressed zinc finger proteins and their distinct activities could thus be important in determining the severity of the disease and represent important targets for drug development. Therefore, we here review the mechanisms of action of host and viral zinc finger proteins in COVID-19 as a contribution to the comprehension of the disease and also highlight strategies for therapeutic developments.
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15
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Baddock HT, Brolih S, Yosaatmadja Y, Ratnaweera M, Bielinski M, Swift L, Cruz-Migoni A, Fan H, Keown JR, Walker AP, Morris G, Grimes J, Fodor E, Schofield C, Gileadi O, McHugh P. Characterization of the SARS-CoV-2 ExoN (nsp14ExoN-nsp10) complex: implications for its role in viral genome stability and inhibitor identification. Nucleic Acids Res 2022; 50:1484-1500. [PMID: 35037045 PMCID: PMC8860572 DOI: 10.1093/nar/gkab1303] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 12/15/2021] [Accepted: 12/22/2021] [Indexed: 12/19/2022] Open
Abstract
The SARS-CoV-2 coronavirus is the causal agent of the current global pandemic. SARS-CoV-2 belongs to an order, Nidovirales, with very large RNA genomes. It is proposed that the fidelity of coronavirus (CoV) genome replication is aided by an RNA nuclease complex, comprising the non-structural proteins 14 and 10 (nsp14-nsp10), an attractive target for antiviral inhibition. Our results validate reports that the SARS-CoV-2 nsp14-nsp10 complex has RNase activity. Detailed functional characterization reveals nsp14-nsp10 is a versatile nuclease capable of digesting a wide variety of RNA structures, including those with a blocked 3'-terminus. Consistent with a role in maintaining viral genome integrity during replication, we find that nsp14-nsp10 activity is enhanced by the viral RNA-dependent RNA polymerase complex (RdRp) consisting of nsp12-nsp7-nsp8 (nsp12-7-8) and demonstrate that this stimulation is mediated by nsp8. We propose that the role of nsp14-nsp10 in maintaining replication fidelity goes beyond classical proofreading by purging the nascent replicating RNA strand of a range of potentially replication-terminating aberrations. Using our developed assays, we identify drug and drug-like molecules that inhibit nsp14-nsp10, including the known SARS-CoV-2 major protease (Mpro) inhibitor ebselen and the HIV integrase inhibitor raltegravir, revealing the potential for multifunctional inhibitors in COVID-19 treatment.
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Affiliation(s)
- Hannah T Baddock
- Department of Oncology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DS, UK
| | - Sanja Brolih
- Department of Oncology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DS, UK
| | - Yuliana Yosaatmadja
- Centre for Medicines Discovery, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford OX3 7DQ, UK
| | - Malitha Ratnaweera
- Department of Oncology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DS, UK
| | - Marcin Bielinski
- Chemistry Research Laboratory, Department of Chemistry and the Ineos Oxford Institute for Antimicrobial Research, University of Oxford, Mansfield Road, Oxford OX1 3TA, UK
| | - Lonnie P Swift
- Department of Oncology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DS, UK
| | - Abimael Cruz-Migoni
- Department of Oncology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DS, UK
| | - Haitian Fan
- Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford OX1 3RE, UK
| | - Jeremy R Keown
- Division of Structural Biology, Henry Wellcome Building for Genomic Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - Alexander P Walker
- Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford OX1 3RE, UK
| | - Garrett M Morris
- Department of Statistics, University of Oxford, 24-29 St Giles', Oxford OX1 3LB, UK
| | - Jonathan M Grimes
- Division of Structural Biology, Henry Wellcome Building for Genomic Medicine, University of Oxford, Oxford OX3 7BN, UK
- Diamond Light Source Ltd, Harwell Science & Innovation Campus, Didcot OX11 0DE, UK
| | - Ervin Fodor
- Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford OX1 3RE, UK
| | - Christopher J Schofield
- Chemistry Research Laboratory, Department of Chemistry and the Ineos Oxford Institute for Antimicrobial Research, University of Oxford, Mansfield Road, Oxford OX1 3TA, UK
| | - Opher Gileadi
- Centre for Medicines Discovery, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford OX3 7DQ, UK
| | - Peter J McHugh
- Department of Oncology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DS, UK
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16
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Kandwal S, Fayne D. Repurposing drugs for treatment of SARS-CoV-2 infection: computational design insights into mechanisms of action. J Biomol Struct Dyn 2022; 40:1316-1330. [PMID: 32964805 PMCID: PMC7544922 DOI: 10.1080/07391102.2020.1825232] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 09/12/2020] [Indexed: 12/15/2022]
Abstract
The COVID-19 pandemic has negatively affected human life globally. It has led to economic crises and health emergencies across the world, spreading rapidly among the human population and has caused many deaths. Currently, there are no treatments available for COVID-19 so there is an urgent need to develop therapeutic interventions that could be used against the novel coronavirus infection. In this research, we used computational drug design technologies to repurpose existing drugs as inhibitors of SARS-CoV-2 viral proteins. The Broad Institute's Drug Repurposing Hub consists of in-development/approved drugs and was computationally screened to identify potential hits which could inhibit protein targets encoded by the SARS-CoV-2 genome. By virtually screening the Broad collection, using rationally designed pharmacophore features, we identified molecules which may be repurposed against viral nucleocapsid and non-structural proteins. The pharmacophore features were generated after careful visualisation of the interactions between co-crystalised ligands and the protein binding site. The ChEMBL database was used to determine the compound's level of inhibition of SARS-CoV-2 and correlate the predicted viral protein target with whole virus in vitro data. The results from this study may help to accelerate drug development against COVID-19 and the hit compounds should be progressed through further in vitro and in vivo studies on SARS-CoV-2.
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Affiliation(s)
- Shubhangi Kandwal
- Department of Clinical Medicine, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
| | - Darren Fayne
- Molecular Design Group, School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland
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17
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Yan W, Zheng Y, Zeng X, He B, Cheng W. Structural biology of SARS-CoV-2: open the door for novel therapies. Signal Transduct Target Ther 2022; 7:26. [PMID: 35087058 PMCID: PMC8793099 DOI: 10.1038/s41392-022-00884-5] [Citation(s) in RCA: 123] [Impact Index Per Article: 61.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/05/2022] [Accepted: 01/10/2022] [Indexed: 02/08/2023] Open
Abstract
Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is the causative agent of the pandemic disease COVID-19, which is so far without efficacious treatment. The discovery of therapy reagents for treating COVID-19 are urgently needed, and the structures of the potential drug-target proteins in the viral life cycle are particularly important. SARS-CoV-2, a member of the Orthocoronavirinae subfamily containing the largest RNA genome, encodes 29 proteins including nonstructural, structural and accessory proteins which are involved in viral adsorption, entry and uncoating, nucleic acid replication and transcription, assembly and release, etc. These proteins individually act as a partner of the replication machinery or involved in forming the complexes with host cellular factors to participate in the essential physiological activities. This review summarizes the representative structures and typically potential therapy agents that target SARS-CoV-2 or some critical proteins for viral pathogenesis, providing insights into the mechanisms underlying viral infection, prevention of infection, and treatment. Indeed, these studies open the door for COVID therapies, leading to ways to prevent and treat COVID-19, especially, treatment of the disease caused by the viral variants are imperative.
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Affiliation(s)
- Weizhu Yan
- Division of Respiratory and Critical Care Medicine, Respiratory Infection and Intervention Laboratory of Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Yanhui Zheng
- Division of Respiratory and Critical Care Medicine, Respiratory Infection and Intervention Laboratory of Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Xiaotao Zeng
- Division of Respiratory and Critical Care Medicine, Respiratory Infection and Intervention Laboratory of Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Bin He
- Department of Emergency Medicine, West China Hospital of Sichuan University, 610041, Chengdu, China.
- The First People's Hospital of Longquanyi District Chengdu, 610100, Chengdu, China.
| | - Wei Cheng
- Division of Respiratory and Critical Care Medicine, Respiratory Infection and Intervention Laboratory of Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China.
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18
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Malone B, Urakova N, Snijder EJ, Campbell EA. Structures and functions of coronavirus replication-transcription complexes and their relevance for SARS-CoV-2 drug design. Nat Rev Mol Cell Biol 2022; 23:21-39. [PMID: 34824452 PMCID: PMC8613731 DOI: 10.1038/s41580-021-00432-z] [Citation(s) in RCA: 197] [Impact Index Per Article: 98.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/22/2021] [Indexed: 02/08/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has killed millions of people and continues to cause massive global upheaval. Coronaviruses are positive-strand RNA viruses with an unusually large genome of ~30 kb. They express an RNA-dependent RNA polymerase and a cohort of other replication enzymes and supporting factors to transcribe and replicate their genomes. The proteins performing these essential processes are prime antiviral drug targets, but drug discovery is hindered by our incomplete understanding of coronavirus RNA synthesis and processing. In infected cells, the RNA-dependent RNA polymerase must coordinate with other viral and host factors to produce both viral mRNAs and new genomes. Recent research aiming to decipher and contextualize the structures, functions and interplay of the subunits of the SARS-CoV-2 replication and transcription complex proteins has burgeoned. In this Review, we discuss recent advancements in our understanding of the molecular basis and complexity of the coronavirus RNA-synthesizing machinery. Specifically, we outline the mechanisms and regulation of RNA translation, replication and transcription. We also discuss the composition of the replication and transcription complexes and their suitability as targets for antiviral therapy.
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Affiliation(s)
- Brandon Malone
- grid.134907.80000 0001 2166 1519Laboratory of Molecular Biophysics, The Rockefeller University, New York, NY USA
| | - Nadya Urakova
- grid.10419.3d0000000089452978Department of Medical Microbiology, Leiden University Medical Center, Leiden, Netherlands
| | - Eric J. Snijder
- grid.10419.3d0000000089452978Department of Medical Microbiology, Leiden University Medical Center, Leiden, Netherlands
| | - Elizabeth A. Campbell
- grid.134907.80000 0001 2166 1519Laboratory of Molecular Biophysics, The Rockefeller University, New York, NY USA
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19
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Gerassimovich YA, Miladinovski-Bangall SJ, Bridges KM, Boateng L, Ball LE, Valafar H, Nag A. Proximity-dependent biotinylation detects associations between SARS coronavirus nonstructural protein 1 and stress granule-associated proteins. J Biol Chem 2021; 297:101399. [PMID: 34774526 PMCID: PMC8580555 DOI: 10.1016/j.jbc.2021.101399] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 10/28/2021] [Accepted: 11/08/2021] [Indexed: 11/17/2022] Open
Abstract
The nonstructural protein 1 (nsp1) of severe acute respiratory syndrome coronavirus and severe acute respiratory syndrome coronavirus 2 is a critical viral protein that suppresses host gene expression by blocking the assembly of the ribosome on host mRNAs. To understand the mechanism of inhibition of host gene expression, we sought to identify cellular proteins that interact with nsp1. Using proximity-dependent biotinylation followed by proteomic analyses of biotinylated proteins, here we captured multiple dynamic interactions of nsp1 with host cell proteins. In addition to ribosomal proteins, we identified several pre-mRNA processing proteins that interact with nsp1, including splicing factors and transcription termination proteins, as well as exosome, and stress granule (SG)-associated proteins. We found that the interactions with transcription termination factors are primarily governed by the C-terminal region of nsp1 and are disrupted by the mutation of amino acids K164 and H165 that are essential for its host shutoff function. We further show that nsp1 interacts with Ras GTPase-activating protein SH3 domain-binding protein 1 (G3BP1) and colocalizes with G3BP1 in SGs under sodium arsenite-induced stress. Finally, we observe that the presence of nsp1 disrupts the maturation of SGs over a long period. Isolation of SG core at different times shows a gradual loss of G3BP1 in the presence of nsp1.
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Affiliation(s)
- Yevgeniy A Gerassimovich
- Natural Sciences and Engineering, University of South Carolina Upstate, Spartanburg, South Carolina, USA
| | | | - Kaitlin M Bridges
- Natural Sciences and Engineering, University of South Carolina Upstate, Spartanburg, South Carolina, USA
| | - Linkel Boateng
- Department of Computer Science and Engineering, University of South Carolina, Columbia, South Carolina, USA
| | - Lauren E Ball
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Homayoun Valafar
- Department of Computer Science and Engineering, University of South Carolina, Columbia, South Carolina, USA
| | - Anita Nag
- Natural Sciences and Engineering, University of South Carolina Upstate, Spartanburg, South Carolina, USA.
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20
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Abstract
Methods for detecting and dissecting the interactions of virally encoded proteins are essential for probing basic viral biology and providing a foundation for therapeutic advances. The dearth of targeted therapeutics for the treatment of coronavirus disease 2019 (COVID-19), an ongoing global health crisis, underscores the importance of gaining a deeper understanding of the interactions of proteins encoded by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we describe the use of a convenient bacterial cell-based two-hybrid (B2H) system to analyze the SARS-CoV-2 proteome. We identified 16 distinct intraviral protein-protein interactions (PPIs), involving 16 proteins. We found that many of the identified proteins interact with more than one partner. Further, our system facilitates the genetic dissection of these interactions, enabling the identification of selectively disruptive mutations. We also describe a modified B2H system that permits the detection of disulfide bond-dependent PPIs in the normally reducing Escherichia coli cytoplasm, and we used this system to detect the interaction of the SARS-CoV-2 spike protein receptor-binding domain (RBD) with its cognate cell surface receptor ACE2. We then examined how the RBD-ACE2 interaction is perturbed by several RBD amino acid substitutions found in currently circulating SARS-CoV-2 variants. Our findings illustrate the utility of a genetically tractable bacterial system for probing the interactions of viral proteins and investigating the effects of emerging mutations. In principle, the system could also facilitate the identification of potential therapeutics that disrupt specific interactions of virally encoded proteins. More generally, our findings establish the feasibility of using a B2H system to detect and dissect disulfide bond-dependent interactions of eukaryotic proteins.
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21
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Abstract
The ongoing Covid-19 pandemic has spurred research in the biology of the nidovirus severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Much focus has been on the viral RNA synthesis machinery due to its fundamental role in viral propagation. The central and essential enzyme of the RNA synthesis process, the RNA-dependent RNA polymerase (RdRp), functions in conjunction with a coterie of viral-encoded enzymes that mediate crucial nucleic acid transactions. Some of these enzymes share common features with other RNA viruses, while others play roles unique to nidoviruses or CoVs. The RdRps are proven targets for viral pathogens, and many of the other nucleic acid processing enzymes are promising targets. The purpose of this review is to summarize recent advances in our understanding of the mechanisms of RNA synthesis in CoVs. By reflecting on these studies, we hope to emphasize the remaining gaps in our knowledge. The recent onslaught of structural information related to SARS-CoV-2 RNA synthesis, in combination with previous structural, genetic and biochemical studies, have vastly improved our understanding of how CoVs replicate and process their genomic RNA. Structural biology not only provides a blueprint for understanding the function of the enzymes and cofactors in molecular detail, but also provides a basis for drug design and optimization. The concerted efforts of researchers around the world, in combination with the renewed urgency toward understanding this deadly family of viruses, may eventually yield new and improved antivirals that provide relief to the current global devastation.
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Affiliation(s)
- Brandon Malone
- The Rockefeller University, New York, New York, United States
| | | | - Seth A Darst
- The Rockefeller University, New York, New York, United States.
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22
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Chen M, Yan C, Qin F, Zheng L, Zhang XE. The intraviral protein-protein interaction of SARS-CoV-2 reveals the key role of N protein in virus-like particle assembly. Int J Biol Sci 2021; 17:3889-3897. [PMID: 34671206 PMCID: PMC8495407 DOI: 10.7150/ijbs.64977] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 08/26/2021] [Indexed: 01/20/2023] Open
Abstract
Intraviral protein-protein interactions (PPIs) of SARS-CoV-2 in host cells may provide useful information for deep understanding of virology of SARS-CoV-2. In this study, 22 of 55 interactions of the structural and accessory proteins of SARS-CoV-2 were identified by biomolecular fluorescence complementation (BiFC) assay. The nucleocapsid (N) protein was found to have the most interactions among the structural and accessory proteins of SARS-CoV-2, and also specifically interacted with the putative packaging signal (PS) of SARS-CoV-2. We also demonstrated that the PS core containing PS576 RNA bears a functional PS, important for the assembly of the viral RNA into virus like particles (VLPs), and the packaging of SARS-CoV-2 RNA was N dependent.
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Affiliation(s)
- Minghai Chen
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Chuang Yan
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Fujun Qin
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Luping Zheng
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Xian-En Zhang
- Faculty of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.,National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
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23
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Kumar A, Kumar P, Saumya KU, Giri R. Investigating the conformational dynamics of SARS-CoV-2 NSP6 protein with emphasis on non-transmembrane 91-112 & 231-290 regions. Microb Pathog 2021; 161:105236. [PMID: 34648928 PMCID: PMC8505028 DOI: 10.1016/j.micpath.2021.105236] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 10/05/2021] [Accepted: 10/06/2021] [Indexed: 12/05/2022]
Abstract
The NSP6 protein of SARS-CoV-2 is a transmembrane protein, with some regions lying outside the membrane. Besides a brief role of NSP6 in autophagosome formation, this is not studied significantly. Also, there is no structural information available to date. Based on the prediction by TMHMM server for transmembrane prediction, it is found that the N-terminal residues (1-11), middle region residues (91–112), and C-terminal residues (231–290) lies outside the membrane. Molecular Dynamics (MD) simulations showed that NSP6 consists of helical structures. In contrast, the membrane outside lying region (91–112) showed partial helicity, which was further used as a model and obtained disordered type conformation during 1.5 μs. Additionally, a 200ns simulation study of residues 231–290 have shown significant conformational changes. As compared to helical and beta-sheet conformations in its structure model, the 200ns simulation resulted in the loss of beta-sheet structures while helical regions remained intact. Further, we have experimentally characterized the residue 91–112 by using reductionist approaches. CD spectroscopy suggests that the NSP6 (91–112) is disordered-like region in isolation, which gains helical conformation in different biological mimic environmental conditions. These studies can be helpful to study NSP6 (91–112) interactions with host proteins, where different protein conformations might play a significant role. The present study adds up more information about the NSP6 protein aspect, which could be exploited for its host protein interaction and pathogenesis.
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Affiliation(s)
- Amit Kumar
- School of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Himachal Pradesh, 175005, India
| | - Prateek Kumar
- School of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Himachal Pradesh, 175005, India
| | - Kumar Udit Saumya
- School of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Himachal Pradesh, 175005, India
| | - Rajanish Giri
- School of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Himachal Pradesh, 175005, India.
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24
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Perry JK, Appleby TC, Bilello JP, Feng JY, Schmitz U, Campbell EA. An atomistic model of the coronavirus replication-transcription complex as a hexamer assembled around nsp15. J Biol Chem 2021; 297:101218. [PMID: 34562452 PMCID: PMC8494237 DOI: 10.1016/j.jbc.2021.101218] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 12/23/2022] Open
Abstract
The SARS-CoV-2 replication-transcription complex is an assembly of nonstructural viral proteins that collectively act to reproduce the viral genome and generate mRNA transcripts. While the structures of the individual proteins involved are known, how they assemble into a functioning superstructure is not. Applying molecular modeling tools, including protein-protein docking, to the available structures of nsp7-nsp16 and the nucleocapsid, we have constructed an atomistic model of how these proteins associate. Our principal finding is that the complex is hexameric, centered on nsp15. The nsp15 hexamer is capped on two faces by trimers of nsp14/nsp16/(nsp10)2, which then recruit six nsp12/nsp7/(nsp8)2 polymerase subunits to the complex. To this, six subunits of nsp13 are arranged around the superstructure, but not evenly distributed. Polymerase subunits that coordinate dimers of nsp13 are capable of binding the nucleocapsid, which positions the 5'-UTR TRS-L RNA over the polymerase active site, a state distinguishing transcription from replication. Analysis of the viral RNA path through the complex indicates the dsRNA that exits the polymerase passes over the nsp14 exonuclease and nsp15 endonuclease sites before being unwound by a convergence of zinc fingers from nsp10 and nsp14. The template strand is then directed away from the complex, while the nascent strand is directed to the sites responsible for mRNA capping. The model presents a cohesive picture of the multiple functions of the coronavirus replication-transcription complex and addresses fundamental questions related to proofreading, template switching, mRNA capping, and the role of the endonuclease.
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Affiliation(s)
| | | | | | - Joy Y Feng
- Gilead Sciences, Inc, Foster City, California, USA
| | - Uli Schmitz
- Gilead Sciences, Inc, Foster City, California, USA
| | - Elizabeth A Campbell
- Laboratory of Molecular Biophysics, The Rockefeller University, New York, New York, USA
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25
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Morais da Silva M, Lira de Lucena AS, Paiva Júnior SDSL, Florêncio De Carvalho VM, Santana de Oliveira PS, da Rosa MM, Barreto de Melo Rego MJ, Pitta MGDR, Pereira MC. Cell death mechanisms involved in cell injury caused by SARS-CoV-2. Rev Med Virol 2021; 32:e2292. [PMID: 34590761 PMCID: PMC8646768 DOI: 10.1002/rmv.2292] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 08/19/2021] [Accepted: 08/20/2021] [Indexed: 12/20/2022]
Abstract
Coronavirus disease 2019 (Covid‐19) is an emerging novel respiratory infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) that rapidly spread worldwide. In addition to lung injury, Covid‐19 patients may develop extrapulmonary symptoms, including cardiac, liver, kidney, digestive tract, and neurological injuries. Angiotensin converting enzyme 2 is the major receptor for the entry of SARS‐CoV‐2 into host cells. The specific mechanisms that lead to cell death in different tissues during infection by SARS‐CoV‐2 remains unknown. Based on data of the previous human coronavirus SARS‐CoV together with information about SARS‐CoV‐2, this review provides a summary of the mechanisms involved in cell death, including apoptosis, autophagy, and necrosis, provoked by severe acute respiratory syndrome coronavirus.
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Affiliation(s)
- Maríllya Morais da Silva
- Research Center for Therapeutic Innovation Suely Galdino, Federal University of Pernambuco, Recife, Brazil
| | - André Silva Lira de Lucena
- Research Center for Therapeutic Innovation Suely Galdino, Federal University of Pernambuco, Recife, Brazil
| | | | | | | | - Michelle Melgarejo da Rosa
- Research Center for Therapeutic Innovation Suely Galdino, Federal University of Pernambuco, Recife, Brazil
| | | | | | - Michelly Cristiny Pereira
- Research Center for Therapeutic Innovation Suely Galdino, Federal University of Pernambuco, Recife, Brazil
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26
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Chen W, Wang Z, Wang Y, Li Y. Natural Bioactive Molecules as Potential Agents Against SARS-CoV-2. Front Pharmacol 2021; 12:702472. [PMID: 34483904 PMCID: PMC8416071 DOI: 10.3389/fphar.2021.702472] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 07/12/2021] [Indexed: 12/24/2022] Open
Abstract
In the past two decades, pandemics of several fatal coronaviruses have posed enormous challenges for public health, including SARS-CoV (2003), MERS-CoV (2012), and SARS-CoV-2 (2019). Among these, SARS-CoV-2 continues to ravage the world today and has lead to millions of deaths and incalculable economic damage. Till now, there is no clinically proven antiviral drug available for SARS-CoV-2. However, the bioactive molecules of natural origin, especially medicinal plants, have been proven to be potential resources in the treatment of SARS-CoV-2, acting at different stages of the viral life cycle and targeting different viral or host proteins, such as PLpro, 3CLpro, RdRp, helicase, spike, ACE2, and TMPRSS2. They provide a viable strategy to develop therapeutic agents. This review presents fundamental biological information on SARS-CoV-2, including the viral biological characteristics and invasion mechanisms. It also summarizes the reported natural bioactive molecules with anti-coronavirus properties, arranged by their different targets in the life cycle of viral infection of human cells, and discusses the prospects of these bioactive molecules for the treatment of COVID-19.
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Affiliation(s)
- Wei Chen
- Department of Medicinal Chemistry, School of Pharmacy, Xi’an Jiaotong University, Xi’an, China
| | - Zhihao Wang
- Biobank, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yawen Wang
- Biobank, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Department of Laboratory Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yiping Li
- Department of Medicinal Chemistry, School of Pharmacy, Xi’an Jiaotong University, Xi’an, China
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27
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Ma J, Chen Y, Wu W, Chen Z. Structure and Function of N-Terminal Zinc Finger Domain of SARS-CoV-2 NSP2. Virol Sin 2021; 36:1104-1112. [PMID: 34398430 PMCID: PMC8365134 DOI: 10.1007/s12250-021-00431-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 07/15/2021] [Indexed: 12/12/2022] Open
Abstract
SARS-CoV-2 has become a global pandemic threatening human health and safety. It is urgent to find effective therapeutic agents and targets with the continuous emergence of novel mutant strains. The knowledge of the molecular basis and pathogenesis of SARS-CoV-2 in host cells requires to be understood comprehensively. The unknown structure and function of nsp2 have hindered our understanding of its role in SARS-CoV-2 infection. Here, we report the crystal structure of the N-terminal of SARS-CoV-2 nsp2 to a high resolution of 1.96 Å. This novel structure contains three zinc fingers, belonging to the C2H2, C4, and C2HC types, respectively. Structure analysis suggests that nsp2 may be involved in binding nucleic acids and regulating intracellular signaling pathways. The binding to single or double-stranded nucleic acids was mainly through the large positively charged region on the surface of nsp2, and K111, K112, K113 were key residues. Our findings lay the foundation for a better understanding of the relationship between structure and function for nsp2. It is helpful to make full use of nsp2 as further research and development of antiviral targets and drug design.
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Affiliation(s)
- Jun Ma
- State Key Laboratory of Agrobiotechnology and Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Yiyun Chen
- Cherry Creek High School, 9300 East Union Avenue, Greenwood Village, 80111, USA
| | - Wei Wu
- State Key Laboratory of Agrobiotechnology and Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Zhongzhou Chen
- State Key Laboratory of Agrobiotechnology and Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
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28
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Looking for pathways related to COVID-19: confirmation of pathogenic mechanisms by SARS-CoV-2-host interactome. Cell Death Dis 2021; 12:788. [PMID: 34385425 PMCID: PMC8357963 DOI: 10.1038/s41419-021-03881-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 05/21/2021] [Accepted: 05/24/2021] [Indexed: 12/15/2022]
Abstract
In the last months, many studies have clearly described several mechanisms of SARS-CoV-2 infection at cell and tissue level, but the mechanisms of interaction between host and SARS-CoV-2, determining the grade of COVID-19 severity, are still unknown. We provide a network analysis on protein–protein interactions (PPI) between viral and host proteins to better identify host biological responses, induced by both whole proteome of SARS-CoV-2 and specific viral proteins. A host-virus interactome was inferred, applying an explorative algorithm (Random Walk with Restart, RWR) triggered by 28 proteins of SARS-CoV-2. The analysis of PPI allowed to estimate the distribution of SARS-CoV-2 proteins in the host cell. Interactome built around one single viral protein allowed to define a different response, underlining as ORF8 and ORF3a modulated cardiovascular diseases and pro-inflammatory pathways, respectively. Finally, the network-based approach highlighted a possible direct action of ORF3a and NS7b to enhancing Bradykinin Storm. This network-based representation of SARS-CoV-2 infection could be a framework for pathogenic evaluation of specific clinical outcomes. We identified possible host responses induced by specific proteins of SARS-CoV-2, underlining the important role of specific viral accessory proteins in pathogenic phenotypes of severe COVID-19 patients.
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29
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Xu W, Pei G, Liu H, Ju X, Wang J, Ding Q, Li P. Compartmentalization-aided interaction screening reveals extensive high-order complexes within the SARS-CoV-2 proteome. Cell Rep 2021; 36:109482. [PMID: 34297909 PMCID: PMC8285250 DOI: 10.1016/j.celrep.2021.109482] [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: 01/19/2021] [Revised: 05/21/2021] [Accepted: 07/12/2021] [Indexed: 12/12/2022] Open
Abstract
Bearing a relatively large single-stranded RNA genome in nature, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) utilizes sophisticated replication/transcription complexes (RTCs), mainly composed of a network of nonstructural proteins and nucleocapsid protein, to establish efficient infection. In this study, we develop an innovative interaction screening strategy based on phase separation in cellulo, namely compartmentalization of protein-protein interactions in cells (CoPIC). Utilizing CoPIC screening, we map the interaction network among RTC-related viral proteins. We identify a total of 47 binary interactions among 14 proteins governing replication, discontinuous transcription, and translation of coronaviruses. Further exploration via CoPIC leads to the discovery of extensive ternary complexes composed of these components, which infer potential higher-order complexes. Taken together, our results present an efficient and robust interaction screening strategy, and they indicate the existence of a complex interaction network among RTC-related factors, thus opening up opportunities to understand SARS-CoV-2 biology and develop therapeutic interventions for COVID-19.
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Affiliation(s)
- Weifan Xu
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; Tsinghua-Peking Center for Life Sciences, Beijing, China; School of Life Sciences, Tsinghua University, Beijing, China
| | - Gaofeng Pei
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; Tsinghua-Peking Center for Life Sciences, Beijing, China; School of Life Sciences, Tsinghua University, Beijing, China
| | - Hongrui Liu
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Xiaohui Ju
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; School of Medicine, Tsinghua University, Beijing, China
| | - Jing Wang
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; Tsinghua-Peking Center for Life Sciences, Beijing, China; School of Life Sciences, Tsinghua University, Beijing, China
| | - Qiang Ding
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; School of Medicine, Tsinghua University, Beijing, China
| | - Pilong Li
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Beijing, China; Tsinghua-Peking Center for Life Sciences, Beijing, China; School of Life Sciences, Tsinghua University, Beijing, China.
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30
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Armstrong LA, Lange SM, Dee Cesare V, Matthews SP, Nirujogi RS, Cole I, Hope A, Cunningham F, Toth R, Mukherjee R, Bojkova D, Gruber F, Gray D, Wyatt PG, Cinatl J, Dikic I, Davies P, Kulathu Y. Biochemical characterization of protease activity of Nsp3 from SARS-CoV-2 and its inhibition by nanobodies. PLoS One 2021; 16:e0253364. [PMID: 34270554 PMCID: PMC8284666 DOI: 10.1371/journal.pone.0253364] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/04/2021] [Indexed: 12/12/2022] Open
Abstract
Of the 16 non-structural proteins (Nsps) encoded by SARS CoV-2, Nsp3 is the largest and plays important roles in the viral life cycle. Being a large, multidomain, transmembrane protein, Nsp3 has been the most challenging Nsp to characterize. Encoded within Nsp3 is the papain-like protease domain (PLpro) that cleaves not only the viral polypeptide but also K48-linked polyubiquitin and the ubiquitin-like modifier, ISG15, from host cell proteins. We here compare the interactors of PLpro and Nsp3 and find a largely overlapping interactome. Intriguingly, we find that near full length Nsp3 is a more active protease compared to the minimal catalytic domain of PLpro. Using a MALDI-TOF based assay, we screen 1971 approved clinical compounds and identify five compounds that inhibit PLpro with IC50s in the low micromolar range but showed cross reactivity with other human deubiquitinases and had no significant antiviral activity in cellular SARS-CoV-2 infection assays. We therefore looked for alternative methods to block PLpro activity and engineered competitive nanobodies that bind to PLpro at the substrate binding site with nanomolar affinity thus inhibiting the enzyme. Our work highlights the importance of studying Nsp3 and provides tools and valuable insights to investigate Nsp3 biology during the viral infection cycle.
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Affiliation(s)
- Lee A. Armstrong
- MRC Protein Phosphorylation and Ubiquitylation Unit, Sir James Black Centre, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
| | - Sven M. Lange
- MRC Protein Phosphorylation and Ubiquitylation Unit, Sir James Black Centre, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
| | - Virginia Dee Cesare
- MRC Protein Phosphorylation and Ubiquitylation Unit, Sir James Black Centre, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
| | - Stephen P. Matthews
- MRC Protein Phosphorylation and Ubiquitylation Unit, Sir James Black Centre, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
| | - Raja Sekhar Nirujogi
- MRC Protein Phosphorylation and Ubiquitylation Unit, Sir James Black Centre, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
| | - Isobel Cole
- MRC Protein Phosphorylation and Ubiquitylation Unit, Sir James Black Centre, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
| | - Anthony Hope
- Drug Discovery Unit, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
| | - Fraser Cunningham
- Drug Discovery Unit, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
| | - Rachel Toth
- MRC Reagents and Services, University of Dundee, Dundee, Scotland, United Kingdom
| | - Rukmini Mukherjee
- Institute of Biochemistry II, Goethe University Frankfurt Medical Faculty, University Hospital, Frankfurt am Main, Germany
- Buchmann Institute for Molecular Life Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Denisa Bojkova
- Institute of Medical Virology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Franz Gruber
- National Phenotypic Screening Centre, University of Dundee, Dundee, Scotland, United Kingdom
| | - David Gray
- Drug Discovery Unit, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
| | - Paul G. Wyatt
- Drug Discovery Unit, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
| | - Jindrich Cinatl
- Institute of Medical Virology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ivan Dikic
- Institute of Biochemistry II, Goethe University Frankfurt Medical Faculty, University Hospital, Frankfurt am Main, Germany
- Buchmann Institute for Molecular Life Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
- Max Planck Institute of Biophysics, Frankfurt am Main, Germany
| | - Paul Davies
- MRC Protein Phosphorylation and Ubiquitylation Unit, Sir James Black Centre, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
| | - Yogesh Kulathu
- MRC Protein Phosphorylation and Ubiquitylation Unit, Sir James Black Centre, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom
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31
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Chazal N. Coronavirus, the King Who Wanted More Than a Crown: From Common to the Highly Pathogenic SARS-CoV-2, Is the Key in the Accessory Genes? Front Microbiol 2021; 12:682603. [PMID: 34335504 PMCID: PMC8317507 DOI: 10.3389/fmicb.2021.682603] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 06/22/2021] [Indexed: 12/14/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), that emerged in late 2019, is the etiologic agent of the current "coronavirus disease 2019" (COVID-19) pandemic, which has serious health implications and a significant global economic impact. Of the seven human coronaviruses, all of which have a zoonotic origin, the pandemic SARS-CoV-2, is the third emerging coronavirus, in the 21st century, highly pathogenic to the human population. Previous human coronavirus outbreaks (SARS-CoV-1 and MERS-CoV) have already provided several valuable information on some of the common molecular and cellular mechanisms of coronavirus infections as well as their origin. However, to meet the new challenge caused by the SARS-CoV-2, a detailed understanding of the biological specificities, as well as knowledge of the origin are crucial to provide information on viral pathogenicity, transmission and epidemiology, and to enable strategies for therapeutic interventions and drug discovery. Therefore, in this review, we summarize the current advances in SARS-CoV-2 knowledges, in light of pre-existing information of other recently emerging coronaviruses. We depict the specificity of the immune response of wild bats and discuss current knowledge of the genetic diversity of bat-hosted coronaviruses that promotes viral genome expansion (accessory gene acquisition). In addition, we describe the basic virology of coronaviruses with a special focus SARS-CoV-2. Finally, we highlight, in detail, the current knowledge of genes and accessory proteins which we postulate to be the major keys to promote virus adaptation to specific hosts (bat and human), to contribute to the suppression of immune responses, as well as to pathogenicity.
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Affiliation(s)
- Nathalie Chazal
- Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, Montpellier, France
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32
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Jaroszewski L, Iyer M, Alisoltani A, Sedova M, Godzik A. The interplay of SARS-CoV-2 evolution and constraints imposed by the structure and functionality of its proteins. PLoS Comput Biol 2021; 17:e1009147. [PMID: 34237054 PMCID: PMC8291704 DOI: 10.1371/journal.pcbi.1009147] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 07/20/2021] [Accepted: 06/05/2021] [Indexed: 12/21/2022] Open
Abstract
The unprecedented pace of the sequencing of the SARS-CoV-2 virus genomes provides us with unique information about the genetic changes in a single pathogen during ongoing pandemic. By the analysis of close to 200,000 genomes we show that the patterns of the SARS-CoV-2 virus mutations along its genome are closely correlated with the structural and functional features of the encoded proteins. Requirements of foldability of proteins' 3D structures and the conservation of their key functional regions, such as protein-protein interaction interfaces, are the dominant factors driving evolutionary selection in protein-coding genes. At the same time, avoidance of the host immunity leads to the abundance of mutations in other regions, resulting in high variability of the missense mutation rate along the genome. "Unexplained" peaks and valleys in the mutation rate provide hints on function for yet uncharacterized genomic regions and specific protein structural and functional features they code for. Some of these observations have immediate practical implications for the selection of target regions for PCR-based COVID-19 tests and for evaluating the risk of mutations in epitopes targeted by specific antibodies and vaccine design strategies.
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Affiliation(s)
- Lukasz Jaroszewski
- Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, California, United States of America
| | - Mallika Iyer
- Graduate School of Biomedical Sciences, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California, United States of America
| | - Arghavan Alisoltani
- Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, California, United States of America
| | - Mayya Sedova
- Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, California, United States of America
| | - Adam Godzik
- Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, California, United States of America
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33
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Almasy KM, Davies JP, Plate L. Comparative Host Interactomes of the SARS-CoV-2 Nonstructural Protein 3 and Human Coronavirus Homologs. Mol Cell Proteomics 2021; 20:100120. [PMID: 34186245 PMCID: PMC8236078 DOI: 10.1016/j.mcpro.2021.100120] [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: 03/08/2021] [Revised: 06/13/2021] [Accepted: 06/22/2021] [Indexed: 01/01/2023] Open
Abstract
Human coronaviruses have become an increasing threat to global health; three highly pathogenic strains have emerged since the early 2000s, including most recently SARS-CoV-2, the cause of COVID-19. A better understanding of the molecular mechanisms of coronavirus pathogenesis is needed, including how these highly virulent strains differ from those that cause milder, common-cold-like disease. While significant progress has been made in understanding how SARS-CoV-2 proteins interact with the host cell, nonstructural protein 3 (nsp3) has largely been omitted from the analyses. Nsp3 is a viral protease with important roles in viral protein biogenesis, replication complex formation, and modulation of host ubiquitinylation and ISGylation. Herein, we use affinity purification-mass spectrometry to study the host-viral protein-protein interactome of nsp3 from five coronavirus strains: pathogenic strains SARS-CoV-2, SARS-CoV, and MERS-CoV; and endemic common-cold strains hCoV-229E and hCoV-OC43. We divide each nsp3 into three fragments and use tandem mass tag technology to directly compare the interactors across the five strains for each fragment. We find that few interactors are common across all variants for a particular fragment, but we identify shared patterns between select variants, such as ribosomal proteins enriched in the N-terminal fragment (nsp3.1) data set for SARS-CoV-2 and SARS-CoV. We also identify unique biological processes enriched for individual homologs, for instance, nuclear protein import for the middle fragment of hCoV-229E, as well as ribosome biogenesis of the MERS nsp3.2 homolog. Lastly, we further investigate the interaction of the SARS-CoV-2 nsp3 N-terminal fragment with ATF6, a regulator of the unfolded protein response. We show that SARS-CoV-2 nsp3.1 directly binds to ATF6 and can suppress the ATF6 stress response. Characterizing the host interactions of nsp3 widens our understanding of how coronaviruses co-opt cellular pathways and presents new avenues for host-targeted antiviral therapeutics.
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Affiliation(s)
- Katherine M Almasy
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee, USA; Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jonathan P Davies
- Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA
| | - Lars Plate
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee, USA; Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA.
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34
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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: 68] [Impact Index Per Article: 22.7] [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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35
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Multilevel proteomics reveals host perturbations by SARS-CoV-2 and SARS-CoV. Nature 2021; 594:246-252. [PMID: 33845483 DOI: 10.1038/s41586-021-03493-4] [Citation(s) in RCA: 380] [Impact Index Per Article: 126.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 03/25/2021] [Indexed: 02/06/2023]
Abstract
The emergence and global spread of SARS-CoV-2 has resulted in the urgent need for an in-depth understanding of molecular functions of viral proteins and their interactions with the host proteome. Several individual omics studies have extended our knowledge of COVID-19 pathophysiology1-10. Integration of such datasets to obtain a holistic view of virus-host interactions and to define the pathogenic properties of SARS-CoV-2 is limited by the heterogeneity of the experimental systems. Here we report a concurrent multi-omics study of SARS-CoV-2 and SARS-CoV. Using state-of-the-art proteomics, we profiled the interactomes of both viruses, as well as their influence on the transcriptome, proteome, ubiquitinome and phosphoproteome of a lung-derived human cell line. Projecting these data onto the global network of cellular interactions revealed crosstalk between the perturbations taking place upon infection with SARS-CoV-2 and SARS-CoV at different levels and enabled identification of distinct and common molecular mechanisms of these closely related coronaviruses. The TGF-β pathway, known for its involvement in tissue fibrosis, was specifically dysregulated by SARS-CoV-2 ORF8 and autophagy was specifically dysregulated by SARS-CoV-2 ORF3. The extensive dataset (available at https://covinet.innatelab.org ) highlights many hotspots that could be targeted by existing drugs and may be used to guide rational design of virus- and host-directed therapies, which we exemplify by identifying inhibitors of kinases and matrix metalloproteases with potent antiviral effects against SARS-CoV-2.
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36
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Comparative Transcriptomic and Molecular Pathway Analyses of HL-CZ Human Pro-Monocytic Cells Expressing SARS-CoV-2 Spike S1, S2, NP, NSP15 and NSP16 Genes. Microorganisms 2021; 9:microorganisms9061193. [PMID: 34073047 PMCID: PMC8228226 DOI: 10.3390/microorganisms9061193] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/15/2021] [Accepted: 05/27/2021] [Indexed: 12/20/2022] Open
Abstract
The ongoing COVID-19 pandemic is a clear and present threat to global public health. Research into how the causative SARS-CoV-2 virus together with its individual constituent genes and proteins interact with target host cells can facilitate the development of improved strategies to manage the acute and long-term complications of COVID-19. In this study, to better understand the biological roles of critical SARS-CoV-2 proteins, we determined and compared the host transcriptomic responses of the HL-CZ human pro-monocytic cell line upon transfection with key viral genes encoding the spike S1 subunit, S2 subunit, nucleocapsid protein (NP), NSP15 (endoribonuclease), and NSP16 (2′-O-ribose-methyltransferase). RNA sequencing followed by gene set enrichment analysis and other bioinformatics tools revealed that host genes associated with topologically incorrect protein, virus receptor activity, heat shock protein binding, endoplasmic reticulum stress, antigen processing and presentation were up-regulated in the presence of viral spike S1 expression. With spike S2 expression, pro-monocytic genes associated with the interferon-gamma-mediated signaling pathway, regulation of phosphatidylinositol 3-kinase activity, adipocytokine signaling pathway, and insulin signaling pathway were down-regulated, whereas those associated with cytokine-mediated signaling were up-regulated. The expression of NSP15 induced the up-regulation of genes associated with neutrophil degranulation, neutrophil-mediated immunity, oxidative phosphorylation, prion disease, and pathways of neurodegeneration. The expression of NSP16 resulted in the down-regulation of genes associated with S-adenosylmethionine-dependent methyltransferase activity. The expression of NP down-regulated genes associated with positive regulation of neurogenesis, nervous system development, and heart development. Taken together, the complex transcriptomic alterations arising from these viral-host gene interactions offer useful insights into host genes and their pathways that potentially contribute to SARS-CoV-2 pathogenesis.
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37
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Gupta M, Azumaya CM, Moritz M, Pourmal S, Diallo A, Merz GE, Jang G, Bouhaddou M, Fossati A, Brilot AF, Diwanji D, Hernandez E, Herrera N, Kratochvil HT, Lam VL, Li F, Li Y, Nguyen HC, Nowotny C, Owens TW, Peters JK, Rizo AN, Schulze-Gahmen U, Smith AM, Young ID, Yu Z, Asarnow D, Billesbølle C, Campbell MG, Chen J, Chen KH, Chio US, Dickinson MS, Doan L, Jin M, Kim K, Li J, Li YL, Linossi E, Liu Y, Lo M, Lopez J, Lopez KE, Mancino A, Moss FR, Paul MD, Pawar KI, Pelin A, Pospiech TH, Puchades C, Remesh SG, Safari M, Schaefer K, Sun M, Tabios MC, Thwin AC, Titus EW, Trenker R, Tse E, Tsui TKM, Wang F, Zhang K, Zhang Y, Zhao J, Zhou F, Zhou Y, Zuliani-Alvarez L, Agard DA, Cheng Y, Fraser JS, Jura N, Kortemme T, Manglik A, Southworth DR, Stroud RM, Swaney DL, Krogan NJ, Frost A, Rosenberg OS, Verba KA. CryoEM and AI reveal a structure of SARS-CoV-2 Nsp2, a multifunctional protein involved in key host processes. RESEARCH SQUARE 2021:rs.3.rs-515215. [PMID: 34031651 PMCID: PMC8142659 DOI: 10.21203/rs.3.rs-515215/v1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The SARS-CoV-2 protein Nsp2 has been implicated in a wide range of viral processes, but its exact functions, and the structural basis of those functions, remain unknown. Here, we report an atomic model for full-length Nsp2 obtained by combining cryo-electron microscopy with deep learning-based structure prediction from AlphaFold2. The resulting structure reveals a highly-conserved zinc ion-binding site, suggesting a role for Nsp2 in RNA binding. Mapping emerging mutations from variants of SARS-CoV-2 on the resulting structure shows potential host-Nsp2 interaction regions. Using structural analysis together with affinity tagged purification mass spectrometry experiments, we identify Nsp2 mutants that are unable to interact with the actin-nucleation-promoting WASH protein complex or with GIGYF2, an inhibitor of translation initiation and modulator of ribosome-associated quality control. Our work suggests a potential role of Nsp2 in linking viral transcription within the viral replication-transcription complexes (RTC) to the translation initiation of the viral message. Collectively, the structure reported here, combined with mutant interaction mapping, provides a foundation for functional studies of this evolutionary conserved coronavirus protein and may assist future drug design.
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Affiliation(s)
- Meghna Gupta
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Caleigh M. Azumaya
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michelle Moritz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Sergei Pourmal
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amy Diallo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gregory E. Merz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gwendolyn Jang
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Andrea Fossati
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Axel F. Brilot
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Devan Diwanji
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Evelyn Hernandez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Nadia Herrera
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Huong T. Kratochvil
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Victor L. Lam
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fei Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Henry C. Nguyen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Carlos Nowotny
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tristan W. Owens
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jessica K. Peters
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Alexandrea N. Rizo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ursula Schulze-Gahmen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amber M. Smith
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Iris D. Young
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Zanlin Yu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Daniel Asarnow
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Christian Billesbølle
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Melody G. Campbell
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Jen Chen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kuei-Ho Chen
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Un Seng Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Miles Sasha Dickinson
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Loan Doan
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Mingliang Jin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kate Kim
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Junrui Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yen-Li Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Edmond Linossi
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yanxin Liu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Megan Lo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jocelyne Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kyle E. Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adamo Mancino
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Frank R. Moss
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michael D. Paul
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Komal Ishwar Pawar
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adrian Pelin
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Thomas H. Pospiech
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Cristina Puchades
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Soumya Govinda Remesh
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Maliheh Safari
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaitlin Schaefer
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ming Sun
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Beam Therapeutics, Cambridge, MA 02139, USA
| | - Mariano C Tabios
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Aye C. Thwin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Erron W. Titus
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Raphael Trenker
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Eric Tse
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tsz Kin Martin Tsui
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Feng Wang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaihua Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jianhua Zhao
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fengbo Zhou
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Lorena Zuliani-Alvarez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | | | - David A Agard
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Yifan Cheng
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - James S Fraser
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Natalia Jura
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA 94158, USA
| | - Tanja Kortemme
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
- The University of California, Berkeley–University of California, San Francisco Graduate Program in Bioengineering, University of California, San Francisco, CA 94158, USA
| | - Aashish Manglik
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Daniel R. Southworth
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Robert M Stroud
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Adam Frost
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Oren S Rosenberg
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Kliment A Verba
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
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38
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Gupta M, Azumaya CM, Moritz M, Pourmal S, Diallo A, Merz GE, Jang G, Bouhaddou M, Fossati A, Brilot AF, Diwanji D, Hernandez E, Herrera N, Kratochvil HT, Lam VL, Li F, Li Y, Nguyen HC, Nowotny C, Owens TW, Peters JK, Rizo AN, Schulze-Gahmen U, Smith AM, Young ID, Yu Z, Asarnow D, Billesbølle C, Campbell MG, Chen J, Chen KH, Chio US, Dickinson MS, Doan L, Jin M, Kim K, Li J, Li YL, Linossi E, Liu Y, Lo M, Lopez J, Lopez KE, Mancino A, Moss FR, Paul MD, Pawar KI, Pelin A, Pospiech TH, Puchades C, Remesh SG, Safari M, Schaefer K, Sun M, Tabios MC, Thwin AC, Titus EW, Trenker R, Tse E, Tsui TKM, Wang F, Zhang K, Zhang Y, Zhao J, Zhou F, Zhou Y, Zuliani-Alvarez L, Agard DA, Cheng Y, Fraser JS, Jura N, Kortemme T, Manglik A, Southworth DR, Stroud RM, Swaney DL, Krogan NJ, Frost A, Rosenberg OS, Verba KA. CryoEM and AI reveal a structure of SARS-CoV-2 Nsp2, a multifunctional protein involved in key host processes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021:2021.05.10.443524. [PMID: 34013269 PMCID: PMC8132225 DOI: 10.1101/2021.05.10.443524] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The SARS-CoV-2 protein Nsp2 has been implicated in a wide range of viral processes, but its exact functions, and the structural basis of those functions, remain unknown. Here, we report an atomic model for full-length Nsp2 obtained by combining cryo-electron microscopy with deep learning-based structure prediction from AlphaFold2. The resulting structure reveals a highly-conserved zinc ion-binding site, suggesting a role for Nsp2 in RNA binding. Mapping emerging mutations from variants of SARS-CoV-2 on the resulting structure shows potential host-Nsp2 interaction regions. Using structural analysis together with affinity tagged purification mass spectrometry experiments, we identify Nsp2 mutants that are unable to interact with the actin-nucleation-promoting WASH protein complex or with GIGYF2, an inhibitor of translation initiation and modulator of ribosome-associated quality control. Our work suggests a potential role of Nsp2 in linking viral transcription within the viral replication-transcription complexes (RTC) to the translation initiation of the viral message. Collectively, the structure reported here, combined with mutant interaction mapping, provides a foundation for functional studies of this evolutionary conserved coronavirus protein and may assist future drug design.
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Affiliation(s)
- Meghna Gupta
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Caleigh M Azumaya
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michelle Moritz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Sergei Pourmal
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amy Diallo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gregory E Merz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gwendolyn Jang
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Andrea Fossati
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Axel F Brilot
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Devan Diwanji
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Evelyn Hernandez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Nadia Herrera
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Huong T Kratochvil
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Victor L Lam
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fei Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Henry C Nguyen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Carlos Nowotny
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tristan W Owens
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jessica K Peters
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Alexandrea N Rizo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ursula Schulze-Gahmen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amber M Smith
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Iris D Young
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Zanlin Yu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Daniel Asarnow
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Christian Billesbølle
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Melody G Campbell
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Jen Chen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kuei-Ho Chen
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Un Seng Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Miles Sasha Dickinson
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Loan Doan
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Mingliang Jin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kate Kim
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Junrui Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yen-Li Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Edmond Linossi
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yanxin Liu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Megan Lo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jocelyne Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kyle E Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adamo Mancino
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Frank R Moss
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michael D Paul
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Komal Ishwar Pawar
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adrian Pelin
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Thomas H Pospiech
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Cristina Puchades
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Soumya Govinda Remesh
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Maliheh Safari
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaitlin Schaefer
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ming Sun
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Beam Therapeutics, Cambridge, MA 02139, USA
| | - Mariano C Tabios
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Aye C Thwin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Erron W Titus
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Raphael Trenker
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Eric Tse
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tsz Kin Martin Tsui
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Feng Wang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaihua Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jianhua Zhao
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fengbo Zhou
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Lorena Zuliani-Alvarez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - David A Agard
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Yifan Cheng
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - James S Fraser
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Natalia Jura
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA 94158, USA
| | - Tanja Kortemme
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
- The University of California, Berkeley-University of California, San Francisco Graduate Program in Bioengineering, University of California, San Francisco, CA 94158, USA
| | - Aashish Manglik
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Daniel R Southworth
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Robert M Stroud
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- 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
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Adam Frost
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Oren S Rosenberg
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Kliment A Verba
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
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39
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Spratt AN, Gallazzi F, Quinn TP, Lorson CL, Sönnerborg A, Singh K. Coronavirus helicases: attractive and unique targets of antiviral drug-development and therapeutic patents. Expert Opin Ther Pat 2021; 31:339-350. [PMID: 33593200 PMCID: PMC8074651 DOI: 10.1080/13543776.2021.1884224] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Introduction: Coronaviruses encode a helicase that is essential for viral replication and represents an excellent antiviral target. However, only a few coronavirus helicase inhibitors have been patented. These patents include drug-like compound SSYA10-001, aryl diketo acids (ADK), and dihydroxychromones. Additionally, adamantane-derived bananins, natural flavonoids, one acrylamide derivative [(E)-3-(furan-2-yl)-N-(4-sulfamoylphenyl)acrylamide], a purine derivative (7-ethyl-8-mercapto-3-methyl-3,7-dihydro-1 H-purine-2,6-dione), and a few bismuth complexes. The IC50 of patented inhibitors ranges between 0.82 μM and 8.95 μM, depending upon the assays used. Considering the urgency of clinical interventions against Coronavirus Disease-19 (COVID-19), it is important to consider developing antiviral portfolios consisting of small molecules. Areas covered: This review examines coronavirus helicases as antiviral targets, and the potential of previously patented and experimental compounds to inhibit the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) helicase. Expert opinion: Small molecule coronavirus helicase inhibitors represent attractive pharmacological modalities for the treatment of coronaviruses such as SARS-CoV and SARS-CoV-2. Rightfully so, the current emphasis is focused upon the development of vaccines. However, vaccines may not work for everyone and broad-based adoption of vaccinations is an increasingly challenging societal endeavor. Therefore, it is important to develop additional pharmacological antivirals against the highly conserved coronavirus helicases to broadly protect against this and subsequent coronavirus epidemics.
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Affiliation(s)
- Austin N Spratt
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Fabio Gallazzi
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.,Department of Chemistry, University of Missouri, Columbia, MO, USA
| | - Thomas P Quinn
- cDepartment of Biochemistry, University of Missouri, Columbia, MO, USA
| | - Christian L Lorson
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.,dDepartment of Veterinary Pathobiology, University of Missouri, Columbia, MO, USA
| | - Anders Sönnerborg
- eDivision of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Huddinge, Stockholm, Sweden.,fDepartment of Molecular Microbiology and Immunology, University of Missouri, Columbia, MO, USA
| | - Kamal Singh
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.,Department of Veterinary Pathobiology, University of Missouri, Columbia, MO, USA.,Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Huddinge, Stockholm, Sweden.,gSanctum Therapeutics Corporation, Sunnyvale, CA, USA
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40
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Lei J, Ma-Lauer Y, Han Y, Thoms M, Buschauer R, Jores J, Thiel V, Beckmann R, Deng W, Leonhardt H, Hilgenfeld R, von Brunn A. The SARS-unique domain (SUD) of SARS-CoV and SARS-CoV-2 interacts with human Paip1 to enhance viral RNA translation. EMBO J 2021; 40:e102277. [PMID: 33876849 PMCID: PMC8167360 DOI: 10.15252/embj.2019102277] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 03/04/2021] [Accepted: 03/17/2021] [Indexed: 02/05/2023] Open
Abstract
The ongoing outbreak of severe acute respiratory syndrome (SARS) coronavirus 2 (SARS‐CoV‐2) demonstrates the continuous threat of emerging coronaviruses (CoVs) to public health. SARS‐CoV‐2 and SARS‐CoV share an otherwise non‐conserved part of non‐structural protein 3 (Nsp3), therefore named as “SARS‐unique domain” (SUD). We previously found a yeast‐2‐hybrid screen interaction of the SARS‐CoV SUD with human poly(A)‐binding protein (PABP)‐interacting protein 1 (Paip1), a stimulator of protein translation. Here, we validate SARS‐CoV SUD:Paip1 interaction by size‐exclusion chromatography, split‐yellow fluorescent protein, and co‐immunoprecipitation assays, and confirm such interaction also between the corresponding domain of SARS‐CoV‐2 and Paip1. The three‐dimensional structure of the N‐terminal domain of SARS‐CoV SUD (“macrodomain II”, Mac2) in complex with the middle domain of Paip1, determined by X‐ray crystallography and small‐angle X‐ray scattering, provides insights into the structural determinants of the complex formation. In cellulo, SUD enhances synthesis of viral but not host proteins via binding to Paip1 in pBAC‐SARS‐CoV replicon‐transfected cells. We propose a possible mechanism for stimulation of viral translation by the SUD of SARS‐CoV and SARS‐CoV‐2.
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Affiliation(s)
- Jian Lei
- Institute of Biochemistry, Center for Structural and Cell Biology in Medicine, University of Lübeck, Lübeck, Germany.,German Center for Infection Research (DZIF), Hamburg-Lübeck- Borstel-Riems Site, University of Lübeck, Lübeck, Germany.,State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Yue Ma-Lauer
- Max-von-Pettenkofer Institute, Ludwig-Maximilians-University Munich, Munich, Germany.,German Center for Infection Research (DZIF), Munich, Germany
| | - Yinze Han
- State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Matthias Thoms
- Gene Center Munich, Department of Biochemistry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Robert Buschauer
- Gene Center Munich, Department of Biochemistry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Joerg Jores
- Institute of Veterinary Bacteriology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Volker Thiel
- Institute of Virology and Immunology, University of Bern, Bern, Switzerland
| | - Roland Beckmann
- Gene Center Munich, Department of Biochemistry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Wen Deng
- Department of Biology and Center for Integrated Protein Science, Ludwig-Maximilians-University Munich, Planegg-Martinsried, Germany.,College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, China
| | - Heinrich Leonhardt
- Department of Biology and Center for Integrated Protein Science, Ludwig-Maximilians-University Munich, Planegg-Martinsried, Germany
| | - Rolf Hilgenfeld
- Institute of Biochemistry, Center for Structural and Cell Biology in Medicine, University of Lübeck, Lübeck, Germany.,German Center for Infection Research (DZIF), Hamburg-Lübeck- Borstel-Riems Site, University of Lübeck, Lübeck, Germany.,Institute of Molecular Medicine, University of Lübeck, Lübeck, Germany
| | - Albrecht von Brunn
- Max-von-Pettenkofer Institute, Ludwig-Maximilians-University Munich, Munich, Germany.,German Center for Infection Research (DZIF), Munich, Germany
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41
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Mohammed MEA. The percentages of SARS-CoV-2 protein similarity and identity with SARS-CoV and BatCoV RaTG13 proteins can be used as indicators of virus origin. ACTA ACUST UNITED AC 2021; 12:81-91. [PMID: 33850392 PMCID: PMC8033097 DOI: 10.1007/s42485-021-00060-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 03/08/2021] [Accepted: 03/22/2021] [Indexed: 02/08/2023]
Abstract
There are three types of proteins in coronaviruses: nonstructural, structural, and accessory proteins. Coronavirus proteins are essential for viral replication and for the binding and invasion of hosts and the regulation of host cell metabolism and immunity. This study investigated the amino acid sequence similarity and identity percentages of 10 proteins in SARS-CoV-2, SARS-CoV and the Rhinolophus affinis bat coronavirus (BatCoV RaTG13). The investigated proteins were the 1ab polyprotein, spike protein, orf3a, the envelope protein, the membrane protein, orf6, orf7a, orf7b, orf8, and the nucleocapsid protein. The online sequence alignment service of The European Molecular Biology Open Software Suite (EMBOSS) was used to determine the percentages of protein similarity and identity in the three viruses. The results showed that the similarity and identity percentages of the SARS-CoV-2 and BatCoV RaTG13 proteins were both greater than 95%, while the identity and similarity percentages of SARS-CoV-2 and SARS-CoV were both greater than 38%. The proteins of SARS-CoV-2 and BatCoV RaTG13 have high identity and similarity compared to those of SARS-CoV-2 and SARS-CoV.
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Affiliation(s)
- Mohammed Elimam Ahamed Mohammed
- Department of Chemistry, Faculty of Science, King Khalid University, Abha, Saudi Arabia.,Unit of Bee Research and Honey Production, Faculty of Science, King Khalid University, Abha, Saudi Arabia
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42
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Hillen HS. Structure and function of SARS-CoV-2 polymerase. Curr Opin Virol 2021; 48:82-90. [PMID: 33945951 PMCID: PMC8023233 DOI: 10.1016/j.coviro.2021.03.010] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 03/18/2021] [Accepted: 03/30/2021] [Indexed: 01/18/2023]
Abstract
Coronaviruses use an RNA-dependent RNA polymerase (RdRp) to replicate and express their genome. The RdRp associates with additional non-structural proteins (nsps) to form a replication–transcription complex (RTC) that carries out RNA synthesis, capping and proofreading. However, the structure of the RdRp long remained elusive, thus limiting our understanding of coronavirus genome expression and replication. Recently, the cryo-electron microscopy structure of SARS-CoV-1 RdRp was reported. Driven by the ongoing COVID-19 pandemic, structural data on the SARS-CoV-2 polymerase and associated factors has since emerged at an unprecedented pace, with more than twenty structures released to date. This review provides an overview of the currently available coronavirus RdRp structures and outlines how they have, together with functional studies, led to a molecular understanding of the viral polymerase, its interactions with accessory factors and the mechanisms by which promising antivirals may inhibit coronavirus replication.
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Affiliation(s)
- Hauke S Hillen
- Department of Cellular Biochemistry, University Medical Center Göttingen, Humboldtallee 23, D-37073 Göttingen, Germany; Research Group Structure and Function of Molecular Machines, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, D-37077 Göttingen, Germany; Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, D-37075 Göttingen, Germany.
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43
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Olotu FA, Omolabi KF, Soliman MES. Piece of the puzzle: Remdesivir disassembles the multimeric SARS-CoV-2 RNA-dependent RNA polymerase complex. Cell Biochem Biophys 2021; 79:175-187. [PMID: 33792836 PMCID: PMC8014903 DOI: 10.1007/s12013-021-00977-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Accepted: 03/12/2021] [Indexed: 01/18/2023]
Abstract
The recently emerged SARS-like coronavirus (SARS-CoV-2) has continued to spread rapidly among humans with alarming upsurges in global mortality rates. A major key to tackling this virus is to disrupt its RNA replication process as previously reported for Remdesivir (Rem-P3). In this study, we theorize, using computational simulations, novel mechanisms that may underlie the binding of Rem-P3 to SARS-CoV-2 RdRp-NSPs complex; a multimeric assembly that drives viral RNA replication in human hosts. Findings revealed that while ATP-binding stabilized the replicative tripartite, Rem-P3 disintegrated the RdRp-NSP complex, starting with the detachment of the NSP7-NSP8 heterodimer followed by minimal displacement of the second NSP8 subunit (NSP8II). More so, Rem-P3 interacted with a relatively higher affinity (ΔGbind) while inducing high perturbations across the RdRp-NSP domains. D452, T556, V557, S682, and D760 were identified for their crucial roles in stacking the cyano-adenosine and 3,4-dihydroxyoxolan rings of Rem-P3 while its flexible P3 tail extended towards the palm domain blocking D618 and K798; a residue-pair identified for essential roles in RNA replication. However, ATP folded away from D618 indicative of a more coordinated binding favorable for nucleotide polymerization. We believe findings from this study will significantly contribute to the structure-based design of novel disruptors of the SARS-CoV-2 RNA replicative machinery.
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Affiliation(s)
- Fisayo A Olotu
- Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa
| | - Kehinde F Omolabi
- Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa
| | - Mahmoud E S Soliman
- Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.
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44
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Almasy KM, Davies JP, Plate L. Comparative host interactomes of the SARS-CoV-2 nonstructural protein 3 and human coronavirus homologs. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021:2021.03.08.434440. [PMID: 33758849 PMCID: PMC7987008 DOI: 10.1101/2021.03.08.434440] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Human coronaviruses have become an increasing threat to global health; three highly pathogenic strains have emerged since the early 2000s, including most recently SARS-CoV-2, the cause of COVID-19. A better understanding of the molecular mechanisms of coronavirus pathogenesis is needed, including how these highly virulent strains differ from those that cause milder, common-cold like disease. While significant progress has been made in understanding how SARS-CoV-2 proteins interact with the host cell, non-structural protein 3 (nsp3) has largely been omitted from the analyses. Nsp3 is a viral protease with important roles in viral protein biogenesis, replication complex formation, and modulation of host ubiquitinylation and ISGylation. Herein, we use affinity purification-mass spectrometry to study the host-viral protein-protein interactome of nsp3 from five coronavirus strains: pathogenic strains SARS-CoV-2, SARS-CoV, and MERS-CoV; and endemic common-cold strains hCoV-229E and hCoV-OC43. We divide each nsp3 into three fragments and use tandem mass tag technology to directly compare the interactors across the five strains for each fragment. We find that few interactors are common across all variants for a particular fragment, but we identify shared patterns between select variants, such as ribosomal proteins enriched in the N-terminal fragment (nsp3.1) dataset for SARS-CoV-2 and SARS-CoV. We also identify unique biological processes enriched for individual homologs, for instance nuclear protein important for the middle fragment of hCoV-229E, as well as ribosome biogenesis of the MERS nsp3.2 homolog. Lastly, we further investigate the interaction of the SARS-CoV-2 nsp3 N-terminal fragment with ATF6, a regulator of the unfolded protein response. We show that SARS-CoV-2 nsp3.1 directly binds to ATF6 and can suppress the ATF6 stress response. Characterizing the host interactions of nsp3 widens our understanding of how coronaviruses co-opt cellular pathways and presents new avenues for host-targeted antiviral therapeutics.
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Affiliation(s)
- Katherine M. Almasy
- Department of Chemistry, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jonathan P. Davies
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lars Plate
- Department of Chemistry, Vanderbilt University, Nashville, TN, USA
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center, Nashville, TN, USA
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45
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Krichel B, Bylapudi G, Schmidt C, Blanchet C, Schubert R, Brings L, Koehler M, Zenobi R, Svergun D, Lorenzen K, Madhugiri R, Ziebuhr J, Uetrecht C. Hallmarks of Alpha- and Betacoronavirus non-structural protein 7+8 complexes. SCIENCE ADVANCES 2021; 7:7/10/eabf1004. [PMID: 33658206 PMCID: PMC7929516 DOI: 10.1126/sciadv.abf1004] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Accepted: 01/19/2021] [Indexed: 05/02/2023]
Abstract
Coronaviruses infect many different species including humans. The last two decades have seen three zoonotic coronaviruses, with SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) causing a pandemic in 2020. Coronaviral non-structural proteins (nsps) form the replication-transcription complex (RTC). Nsp7 and nsp8 interact with and regulate the RNA-dependent RNA-polymerase and other enzymes in the RTC. However, the structural plasticity of nsp7+8 complexes has been under debate. Here, we present the framework of nsp7+8 complex stoichiometry and topology based on native mass spectrometry and complementary biophysical techniques of nsp7+8 complexes from seven coronaviruses in the genera Alpha- and Betacoronavirus including SARS-CoV-2. Their complexes cluster into three groups, which systematically form either heterotrimers or heterotetramers or both, exhibiting distinct topologies. Moreover, even at high protein concentrations, SARS-CoV-2 nsp7+8 consists primarily of heterotetramers. From these results, the different assembly paths can be pinpointed to specific residues and an assembly model proposed.
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Affiliation(s)
- Boris Krichel
- Heinrich Pette Institute, Leibniz Institute for Experimental Virology, Hamburg, Germany
| | - Ganesh Bylapudi
- Institute of Medical Virology, Justus Liebig University Giessen, Giessen, Germany
| | | | | | | | | | - Martin Koehler
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zürich, Switzerland
| | - Renato Zenobi
- Department of Chemistry and Applied Biosciences, ETH Zurich, Zürich, Switzerland
| | - Dmitri Svergun
- EMBL Hamburg c/o DESY, Notkestraße 85, 22607 Hamburg, Germany
| | | | - Ramakanth Madhugiri
- Institute of Medical Virology, Justus Liebig University Giessen, Giessen, Germany
| | - John Ziebuhr
- Institute of Medical Virology, Justus Liebig University Giessen, Giessen, Germany
| | - Charlotte Uetrecht
- Heinrich Pette Institute, Leibniz Institute for Experimental Virology, Hamburg, Germany.
- European XFEL GmbH, Schenefeld, Germany
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46
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Mohammed MEA. SARS-CoV-2 proteins: Are they useful as targets for COVID-19 drugs and vaccines? Curr Mol Med 2021; 22:50-66. [PMID: 33622224 DOI: 10.2174/1566524021666210223143243] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 01/28/2021] [Accepted: 02/02/2021] [Indexed: 11/22/2022]
Abstract
The proteins of coronavirus are classified to nonstructural, structural, and accessory. There are 16 nonstructural viral proteins beside their precursors (1a and 1ab polyproteins). The nonstructural proteins are named as nsp1 to nsp16 and they act as enzymes, coenzymes, and binding proteins to facilitate the replication, transcription, and translation of the virus. The structural proteins are bound to the RNA in the nucleocapsid (N- protein) or to the lipid bilayer membrane of the viral envelope. The lipid bilayer proteins include the membrane protein (M), envelope protein (E), and spike protein (S). Beside their role as structural proteins, they are essential for the host cells binding and invasion. The SARS-CoV-2 contains six accessory proteins which participates in the viral replication, assembly and virus- host interactions. The SARS-CoV-2 accessory proteins are orf3a, orf6, orf7a, orf7b, orf8, and orf10. The functions of the SARS-CoV-2 are not well known, while the functions of their corresponding proteins in SARS-CoV are either well known or poorly studied. Recently, the Oxford University and Pfizer and BioNTech made SARS-CoV-2 vaccines through targeting the spike protein gene. The US Food and Drug Administration (FDA) and the health authorities of the United Kingdom approved and started vaccination using the Pfizer and BioNTech mRNA vaccine. Also, The FDA of USA approved the treatment of COVID-19 using two monoclonal antibodies produced by Regeneron pharmaceuticals to target the spike protein. The SARS-CoV-2 proteins can be used for the diagnosis, as drug targets and in vaccination trials for COVID-19. For future COVID-19 research, more efforts should be done to elaborate the functions and structure of the SARS-CoV-2 proteins so as to use them as targets for COVID-19 drug and vaccines. Special attention should be drawn to extensive research on the SARS-CoV-2 nsp3, orf8, and orf10.
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47
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Zhang C, Li L, He J, Chen C, Su D. Nonstructural protein 7 and 8 complexes of SARS-CoV-2. Protein Sci 2021; 30:873-881. [PMID: 33594727 PMCID: PMC7980517 DOI: 10.1002/pro.4046] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 02/10/2021] [Accepted: 02/15/2021] [Indexed: 02/05/2023]
Abstract
The pandemic outbreak of coronavirus disease 2019 (COVID‐19) across the world has led to millions of infection cases and caused a global public health crisis. Current research suggests that SARS‐CoV‐2 is a highly contagious coronavirus that spreads rapidly through communities. To understand the mechanisms of viral replication, it is imperative to investigate coronavirus viral replicase, a huge protein complex comprising up to 16 viral nonstructural and associated host proteins, which is the most promising antiviral target for inhibiting viral genome replication and transcription. Recently, several components of the viral replicase complex in SARS‐CoV‐2 have been solved to provide a basis for the design of new antiviral therapeutics. Here, we report the crystal structure of the SARS‐CoV‐2 nsp7+8 tetramer, which comprises two copies of each protein representing nsp7's full‐length and the C‐terminus of nsp8 owing to N‐terminus proteolysis during the process of crystallization. We also identified a long helical extension and highly flexible N‐terminal domain of nsp8, which is preferred for interacting with single‐stranded nucleic acids. PDB Code(s): 7DCD;
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Affiliation(s)
- Changhui Zhang
- State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, China
| | - Li Li
- State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, China
| | - Jun He
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Cheng Chen
- School of Life Sciences, Tianjin University, Tianjin, China
| | - Dan Su
- State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, China.,West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China
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48
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Flores-Alanis A, Cruz-Rangel A, Rodríguez-Gómez F, González J, Torres-Guerrero CA, Delgado G, Cravioto A, Morales-Espinosa R. Molecular Epidemiology Surveillance of SARS-CoV-2: Mutations and Genetic Diversity One Year after Emerging. Pathogens 2021; 10:184. [PMID: 33572190 PMCID: PMC7915391 DOI: 10.3390/pathogens10020184] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 02/02/2021] [Accepted: 02/06/2021] [Indexed: 12/16/2022] Open
Abstract
In December 2019, the first cases of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were identified in the city of Wuhan, China. Since then, it has spread worldwide with new mutations being reported. The aim of the present study was to monitor the changes in genetic diversity and track non-synonymous substitutions (dN) that could be implicated in the fitness of SARS-CoV-2 and its spread in different regions between December 2019 and November 2020. We analyzed 2213 complete genomes from six geographical regions worldwide, which were downloaded from GenBank and GISAID databases. Although SARS-CoV-2 presented low genetic diversity, there has been an increase over time, with the presence of several hotspot mutations throughout its genome. We identified seven frequent mutations that resulted in dN substitutions. Two of them, C14408T>P323L and A23403G>D614G, located in the nsp12 and Spike protein, respectively, emerged early in the pandemic and showed a considerable increase in frequency over time. Two other mutations, A1163T>I120F in nsp2 and G22992A>S477N in the Spike protein, emerged recently and have spread in Oceania and Europe. There were associations of P323L, D614G, R203K and G204R substitutions with disease severity. Continuous molecular surveillance of SARS-CoV-2 will be necessary to detect and describe the transmission dynamics of new variants of the virus with clinical relevance. This information is important to improve programs to control the virus.
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Affiliation(s)
- Alejandro Flores-Alanis
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City 04360, Mexico; (A.F.-A.); (G.D.); (A.C.)
| | - Armando Cruz-Rangel
- Laboratorio de Bioquímica de Enfermedades Crónicas, Instituto Nacional de Medicina Genómica, Mexico City 14610, Mexico;
| | - Flor Rodríguez-Gómez
- Departamento de Ciencias Computacionales, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Guadalajara 44430, Jalisco, Mexico;
| | - James González
- Departamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico;
| | | | - Gabriela Delgado
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City 04360, Mexico; (A.F.-A.); (G.D.); (A.C.)
| | - Alejandro Cravioto
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City 04360, Mexico; (A.F.-A.); (G.D.); (A.C.)
| | - Rosario Morales-Espinosa
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City 04360, Mexico; (A.F.-A.); (G.D.); (A.C.)
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49
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Prates ET, Garvin MR, Pavicic M, Jones P, Shah M, Demerdash O, Amos BK, Geiger A, Jacobson D. Potential Pathogenicity Determinants Identified from Structural Proteomics of SARS-CoV and SARS-CoV-2. Mol Biol Evol 2021; 38:702-715. [PMID: 32941612 PMCID: PMC7543629 DOI: 10.1093/molbev/msaa231] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Despite SARS-CoV and SARS-CoV-2 being equipped with highly similar protein arsenals, the corresponding zoonoses have spread among humans at extremely different rates. The specific characteristics of these viruses that led to such distinct outcomes remain unclear. Here, we apply proteome-wide comparative structural analysis aiming to identify the unique molecular elements in the SARS-CoV-2 proteome that may explain the differing consequences. By combining protein modeling and molecular dynamics simulations, we suggest nonconservative substitutions in functional regions of the spike glycoprotein (S), nsp1, and nsp3 that are contributing to differences in virulence. Particularly, we explain why the substitutions at the receptor-binding domain of S affect the structure–dynamics behavior in complexes with putative host receptors. Conservation of functional protein regions within the two taxa is also noteworthy. We suggest that the highly conserved main protease, nsp5, of SARS-CoV and SARS-CoV-2 is part of their mechanism of circumventing the host interferon antiviral response. Overall, most substitutions occur on the protein surfaces and may be modulating their antigenic properties and interactions with other macromolecules. Our results imply that the striking difference in the pervasiveness of SARS-CoV-2 and SARS-CoV among humans seems to significantly derive from molecular features that modulate the efficiency of viral particles in entering the host cells and blocking the host immune response.
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Affiliation(s)
- Erica T Prates
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN.,National Virtual Biotechnology Laboratory, US Department of Energy, TN
| | - Michael R Garvin
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN.,National Virtual Biotechnology Laboratory, US Department of Energy, TN
| | - Mirko Pavicic
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN.,National Virtual Biotechnology Laboratory, US Department of Energy, TN
| | - Piet Jones
- National Virtual Biotechnology Laboratory, US Department of Energy, TN.,The Bredesen Center for Interdisciplinary Research and Graduate Education, The University of Tennessee Knoxville, Knoxville, TN
| | - Manesh Shah
- Genome Science and Technology, The University of Tennessee Knoxville, Knoxville, TN
| | - Omar Demerdash
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN
| | - B Kirtley Amos
- Department of Horticulture, N-318 Ag Sciences Center, University of Kentucky, Lexington, KY
| | - Armin Geiger
- National Virtual Biotechnology Laboratory, US Department of Energy, TN.,The Bredesen Center for Interdisciplinary Research and Graduate Education, The University of Tennessee Knoxville, Knoxville, TN
| | - Daniel Jacobson
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN.,National Virtual Biotechnology Laboratory, US Department of Energy, TN.,The Bredesen Center for Interdisciplinary Research and Graduate Education, The University of Tennessee Knoxville, Knoxville, TN.,Genome Science and Technology, The University of Tennessee Knoxville, Knoxville, TN.,Department of Psychology, The University of Tennessee Knoxville, Knoxville, TN
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50
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Coronavirus replication-transcription complex: Vital and selective NMPylation of a conserved site in nsp9 by the NiRAN-RdRp subunit. Proc Natl Acad Sci U S A 2021; 118:2022310118. [PMID: 33472860 PMCID: PMC8017715 DOI: 10.1073/pnas.2022310118] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
RNA-dependent RNA polymerases (RdRps) of the Nidovirales (Coronaviridae, Arteriviridae, and 12 other families) are linked to an amino-terminal (N-terminal) domain, called NiRAN, in a nonstructural protein (nsp) that is released from polyprotein 1ab by the viral main protease (Mpro). Previously, self-GMPylation/UMPylation activities were reported for an arterivirus NiRAN-RdRp nsp and suggested to generate a transient state primed for transferring nucleoside monophosphate (NMP) to (currently unknown) viral and/or cellular biopolymers. Here, we show that the coronavirus (human coronavirus [HCoV]-229E and severe acute respiratory syndrome coronavirus 2) nsp12 (NiRAN-RdRp) has Mn2+-dependent NMPylation activity that catalyzes the transfer of a single NMP to the cognate nsp9 by forming a phosphoramidate bond with the primary amine at the nsp9 N terminus (N3825) following Mpro-mediated proteolytic release of nsp9 from N-terminally flanking nsps. Uridine triphosphate was the preferred nucleotide in this reaction, but also adenosine triphosphate, guanosine triphosphate, and cytidine triphosphate were suitable cosubstrates. Mutational studies using recombinant coronavirus nsp9 and nsp12 proteins and genetically engineered HCoV-229E mutants identified residues essential for NiRAN-mediated nsp9 NMPylation and virus replication in cell culture. The data corroborate predictions on NiRAN active-site residues and establish an essential role for the nsp9 N3826 residue in both nsp9 NMPylation in vitro and virus replication. This residue is part of a conserved N-terminal NNE tripeptide sequence and shown to be the only invariant residue in nsp9 and its homologs in viruses of the family Coronaviridae The study provides a solid basis for functional studies of other nidovirus NMPylation activities and suggests a possible target for antiviral drug development.
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