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Tse AL, Acreman CM, Ricardo-Lax I, Berrigan J, Lasso G, Balogun T, Kearns FL, Casalino L, McClain GL, Chandran AM, Lemeunier C, Amaro RE, Rice CM, Jangra RK, McLellan JS, Chandran K, Miller EH. Distinct pathway for evolution of enhanced receptor binding and cell entry in SARS-like bat coronaviruses. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.24.600393. [PMID: 38979151 PMCID: PMC11230278 DOI: 10.1101/2024.06.24.600393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Understanding the zoonotic risks posed by bat coronaviruses (CoVs) is critical for pandemic preparedness. Herein, we generated recombinant vesicular stomatitis viruses (rVSVs) bearing spikes from divergent bat CoVs to investigate their cell entry mechanisms. Unexpectedly, the successful recovery of rVSVs bearing the spike from SHC014, a SARS-like bat CoV, was associated with the acquisition of a novel substitution in the S2 fusion peptide-proximal region (FPPR). This substitution enhanced viral entry in both VSV and coronavirus contexts by increasing the availability of the spike receptor-binding domain to recognize its cellular receptor, ACE2. A second substitution in the spike N-terminal domain, uncovered through forward-genetic selection, interacted epistatically with the FPPR substitution to synergistically enhance spike:ACE2 interaction and viral entry. Our findings identify genetic pathways for adaptation by bat CoVs during spillover and host-to-host transmission, fitness trade-offs inherent to these pathways, and potential Achilles' heels that could be targeted with countermeasures.
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Liu WJ, Liu P, Lei W, Jia Z, He X, Shi W, Tan Y, Zou S, Wong G, Wang J, Wang F, Wang G, Qin K, Gao R, Zhang J, Li M, Xiao W, Guo Y, Xu Z, Zhao Y, Song J, Zhang J, Zhen W, Zhou W, Ye B, Song J, Yang M, Zhou W, Dai Y, Lu G, Bi Y, Tan W, Han J, Gao GF, Wu G. Surveillance of SARS-CoV-2 at the Huanan Seafood Market. Nature 2024; 631:402-408. [PMID: 37019149 DOI: 10.1038/s41586-023-06043-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/03/2023] [Indexed: 04/07/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019, emerged in December 2019. Its origins remain uncertain. It has been reported that a number of the early human cases of coronavirus disease 2019 had a history of contact with the Huanan Seafood Market. Here we present the results of surveillance for SARS-CoV-2 within the market. From 1 January 2020, after closure of the market, 923 samples were collected from the environment. From 18 January, 457 samples were collected from 18 species of animal, comprising unsold contents of refrigerators and freezers, swabs from stray animals and the contents of a fish tank. Using quantitative real-time polymerase chain reaction (RT-qPCR) and high-throughput sequencing (Bowtie2 analysis), SARS-CoV-2 was detected in 74 (70 RT-qPCR and 4 Bowtie2) environmental samples, but none of the animal samples. Three live viruses were successfully isolated. The viruses from the market shared a nucleotide identity of 99.99% to 100% with the human isolate HCoV-19/Wuhan/IVDC-HB-01/2019. SARS-CoV-2 lineage A (8782T and 28144C) was found in an environmental sample. RNA-sequencing analysis of SARS-CoV-2-positive and SARS-CoV-2-negative environmental samples showed an abundance of different vertebrate genera at the market. In summary, this study provides information about the distribution and prevalence of SARS-CoV-2 in the Huanan Seafood Market during the early stages of the outbreak of coronavirus disease 2019.
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Affiliation(s)
- William J Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
| | - Peipei Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Wenwen Lei
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Zhiyuan Jia
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Xiaozhou He
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Weifeng Shi
- Key Laboratory of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University, and Shandong Academy of Medical Sciences, Tai'an, China
| | - Yun Tan
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Shumei Zou
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Gary Wong
- CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences (CAS), Shanghai, China
| | - Ji Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Feng Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Gang Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Kun Qin
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Rongbao Gao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jie Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Min Li
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Wenling Xiao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Yuanyuan Guo
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Ziqian Xu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yingze Zhao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jingdong Song
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jing Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Wei Zhen
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Wenting Zhou
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Beiwei Ye
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Juan Song
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Mengjie Yang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Weimin Zhou
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Yuting Dai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Gang Lu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai, China
| | - Yuhai Bi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Wenjie Tan
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jun Han
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - George F Gao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China.
| | - Guizhen Wu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
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3
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Du W, Debski-Antoniak O, Drabek D, van Haperen R, van Dortmondt M, van der Lee J, Drulyte I, van Kuppeveld FJM, Grosveld F, Hurdiss DL, Bosch BJ. Neutralizing antibodies reveal cryptic vulnerabilities and interdomain crosstalk in the porcine deltacoronavirus spike protein. Nat Commun 2024; 15:5330. [PMID: 38909062 PMCID: PMC11193727 DOI: 10.1038/s41467-024-49693-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 06/11/2024] [Indexed: 06/24/2024] Open
Abstract
Porcine deltacoronavirus (PDCoV) is an emerging enteric pathogen that has recently been detected in humans. Despite this zoonotic concern, the antigenic structure of PDCoV remains unknown. The virus relies on its spike (S) protein for cell entry, making it a prime target for neutralizing antibodies. Here, we generate and characterize a set of neutralizing antibodies targeting the S protein, shedding light on PDCoV S interdomain crosstalk and its vulnerable sites. Among the four identified antibodies, one targets the S1A domain, causing local and long-range conformational changes, resulting in partial exposure of the S1B domain. The other antibodies bind the S1B domain, disrupting binding to aminopeptidase N (APN), the entry receptor for PDCoV. Notably, the epitopes of these S1B-targeting antibodies are concealed in the prefusion S trimer conformation, highlighting the necessity for conformational changes for effective antibody binding. The binding footprint of one S1B binder entirely overlaps with APN-interacting residues and thus targets a highly conserved epitope. These findings provide structural insights into the humoral immune response against the PDCoV S protein, potentially guiding vaccine and therapeutic development for this zoonotic pathogen.
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Affiliation(s)
- Wenjuan Du
- Virology Section, Infectious Diseases and Immunology Division, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Oliver Debski-Antoniak
- Virology Section, Infectious Diseases and Immunology Division, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Dubravka Drabek
- Department of Cell Biology, Erasmus Medical Center, Rotterdam, The Netherlands
- Harbour BioMed, Rotterdam, The Netherlands
| | - Rien van Haperen
- Department of Cell Biology, Erasmus Medical Center, Rotterdam, The Netherlands
- Harbour BioMed, Rotterdam, The Netherlands
| | - Melissa van Dortmondt
- Virology Section, Infectious Diseases and Immunology Division, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Joline van der Lee
- Virology Section, Infectious Diseases and Immunology Division, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Ieva Drulyte
- Thermo Fisher Scientific, Materials and Structural Analysis, Eindhoven, The Netherlands
| | - Frank J M van Kuppeveld
- Virology Section, Infectious Diseases and Immunology Division, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Frank Grosveld
- Department of Cell Biology, Erasmus Medical Center, Rotterdam, The Netherlands
- Harbour BioMed, Rotterdam, The Netherlands
| | - Daniel L Hurdiss
- Virology Section, Infectious Diseases and Immunology Division, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
| | - Berend-Jan Bosch
- Virology Section, Infectious Diseases and Immunology Division, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
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4
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Martínez-Puchol S, Tarradas-Alemany M, Mejías-Molina C, Itarte M, Rusiñol M, Baliellas J, Abasolo N, Canela N, Monastiri A, López-Roig M, Serra-Cobo J, Abril JF, Bofill-Mas S. Target enrichment metaviromics enables comprehensive surveillance of coronaviruses in environmental and animal samples. Heliyon 2024; 10:e31556. [PMID: 38845944 PMCID: PMC11153099 DOI: 10.1016/j.heliyon.2024.e31556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 05/08/2024] [Accepted: 05/17/2024] [Indexed: 06/09/2024] Open
Abstract
The COVID-19 pandemic has underscored the importance of understanding the role of animals in the transmission of coronaviruses (CoVs) and their impact on human health. A One Health approach, integrating human, animal, and environmental health, is essential for effective CoVs control. Next-generation sequencing has played a pivotal role in identifying and monitoring the evolution of novel CoVs strains, like SARS-CoV-2. However, viral occurrence and diversity studies in environmental and animal samples are challenging because of the complexity of viral communities and low abundance of viruses in these samples. Target enrichment sequencing (TES) has emerged as a valuable tool for investigating viral families in challenging samples. This approach involves the specific capture and enrichment of viral genomes using sequence-specific probes, thereby enhancing the efficiency of detection and characterization. In this study, we aimed to develop and validate a TES panel to study CoVs in various complex environmental and animal derived samples. The results demonstrated the panel's effectiveness in capturing and sequencing a wide diversity of CoVs providing valuable insights into their abundance and host diversity in urban wastewater, farm animal corpses lixiviates and bat guano samples. In sewage samples, CoVs were detected solely when TES was employed while in guano samples, sequencing of CoVs species was achieved in 2 out of 4 samples showing an almost three-logarithmic increase in the number of reads obtained in comparison with the untargeted approach. For animal lixiviates, only the TES application enabled the acquisition of CoVs reads. The information obtained can significantly contribute to early detection, surveillance, and control measures for CoVs, including viral discovery and potential spillover events. Additionally, this sequencing panel shows potential for studying other significant viral families and monitoring viral diversity in different animal populations.
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Affiliation(s)
- Sandra Martínez-Puchol
- Laboratory of Viruses Contaminants of Water and Food, Departament de Genètica. Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Vicerectorat de Recerca. Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Maria Tarradas-Alemany
- Laboratory of Viruses Contaminants of Water and Food, Departament de Genètica. Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Computational Genomics Lab, Departament de Genètica. Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Institut de Biomedicina (IBUB), Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Cristina Mejías-Molina
- Laboratory of Viruses Contaminants of Water and Food, Departament de Genètica. Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Institut de Recerca de l’Aigua (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Marta Itarte
- Laboratory of Viruses Contaminants of Water and Food, Departament de Genètica. Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Institut de Recerca de l’Aigua (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Marta Rusiñol
- Laboratory of Viruses Contaminants of Water and Food, Departament de Genètica. Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Institut de Recerca de l’Aigua (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain
| | | | - Nerea Abasolo
- Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Eurecat, Centre Tecnològic de Catalunya, Catalonia, Spain
| | - Núria Canela
- Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Eurecat, Centre Tecnològic de Catalunya, Catalonia, Spain
| | - Abir Monastiri
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Universitat de Barcelona, Catalonia, Spain
- Institut de Recerca de la Biodiversitat (IRBiO), Universitat de Barcelona, Catalonia, Spain
| | - Marc López-Roig
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Universitat de Barcelona, Catalonia, Spain
- Institut de Recerca de la Biodiversitat (IRBiO), Universitat de Barcelona, Catalonia, Spain
| | - Jordi Serra-Cobo
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Universitat de Barcelona, Catalonia, Spain
- Institut de Recerca de la Biodiversitat (IRBiO), Universitat de Barcelona, Catalonia, Spain
| | - Josep F. Abril
- Computational Genomics Lab, Departament de Genètica. Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Institut de Biomedicina (IBUB), Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Sílvia Bofill-Mas
- Laboratory of Viruses Contaminants of Water and Food, Departament de Genètica. Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Institut de Recerca de l’Aigua (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain
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5
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Fujita S, Plianchaisuk A, Deguchi S, Ito H, Nao N, Wang L, Nasser H, Tamura T, Kimura I, Kashima Y, Suzuki R, Suzuki S, Kida I, Tsuda M, Oda Y, Hashimoto R, Watanabe Y, Uriu K, Yamasoba D, Guo Z, Hinay AA, Kosugi Y, Chen L, Pan L, Kaku Y, Chu H, Donati F, Temmam S, Eloit M, Yamamoto Y, Nagamoto T, Asakura H, Nagashima M, Sadamasu K, Yoshimura K, Suzuki Y, Ito J, Ikeda T, Tanaka S, Matsuno K, Fukuhara T, Takayama K, Sato K. Virological characteristics of a SARS-CoV-2-related bat coronavirus, BANAL-20-236. EBioMedicine 2024; 104:105181. [PMID: 38838469 PMCID: PMC11215962 DOI: 10.1016/j.ebiom.2024.105181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 05/18/2024] [Accepted: 05/18/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Although several SARS-CoV-2-related coronaviruses (SC2r-CoVs) were discovered in bats and pangolins, the differences in virological characteristics between SARS-CoV-2 and SC2r-CoVs remain poorly understood. Recently, BANAL-20-236 (B236) was isolated from a rectal swab of Malayan horseshoe bat and was found to lack a furin cleavage site (FCS) in the spike (S) protein. The comparison of its virological characteristics with FCS-deleted SARS-CoV-2 (SC2ΔFCS) has not been conducted yet. METHODS We prepared human induced pluripotent stem cell (iPSC)-derived airway and lung epithelial cells and colon organoids as human organ-relevant models. B236, SARS-CoV-2, and artificially generated SC2ΔFCS were used for viral experiments. To investigate the pathogenicity of B236 in vivo, we conducted intranasal infection experiments in hamsters. FINDINGS In human iPSC-derived airway epithelial cells, the growth of B236 was significantly lower than that of the SC2ΔFCS. A fusion assay showed that the B236 and SC2ΔFCS S proteins were less fusogenic than the SARS-CoV-2 S protein. The infection experiment in hamsters showed that B236 was less pathogenic than SARS-CoV-2 and even SC2ΔFCS. Interestingly, in human colon organoids, the growth of B236 was significantly greater than that of SARS-CoV-2. INTERPRETATION Compared to SARS-CoV-2, we demonstrated that B236 exhibited a tropism toward intestinal cells rather than respiratory cells. Our results are consistent with a previous report showing that B236 is enterotropic in macaques. Altogether, our report strengthens the assumption that SC2r-CoVs in horseshoe bats replicate primarily in the intestinal tissues rather than respiratory tissues. FUNDING This study was supported in part by AMED ASPIRE (JP23jf0126002, to Keita Matsuno, Kazuo Takayama, and Kei Sato); AMED SCARDA Japan Initiative for World-leading Vaccine Research and Development Centers "UTOPIA" (JP223fa627001, to Kei Sato), AMED SCARDA Program on R&D of new generation vaccine including new modality application (JP223fa727002, to Kei Sato); AMED SCARDA Hokkaido University Institute for Vaccine Research and Development (HU-IVReD) (JP223fa627005h0001, to Takasuke Fukuhara, and Keita Matsuno); AMED Research Program on Emerging and Re-emerging Infectious Diseases (JP21fk0108574, to Hesham Nasser; JP21fk0108493, to Takasuke Fukuhara; JP22fk0108617 to Takasuke Fukuhara; JP22fk0108146, to Kei Sato; JP21fk0108494 to G2P-Japan Consortium, Keita Matsuno, Shinya Tanaka, Terumasa Ikeda, Takasuke Fukuhara, and Kei Sato; JP21fk0108425, to Kazuo Takayama and Kei Sato; JP21fk0108432, to Kazuo Takayama, Takasuke Fukuhara and Kei Sato; JP22fk0108534, Terumasa Ikeda, and Kei Sato; JP22fk0108511, to Yuki Yamamoto, Terumasa Ikeda, Keita Matsuno, Shinya Tanaka, Kazuo Takayama, Takasuke Fukuhara, and Kei Sato; JP22fk0108506, to Kazuo Takayama and Kei Sato); AMED Research Program on HIV/AIDS (JP22fk0410055, to Terumasa Ikeda; and JP22fk0410039, to Kei Sato); AMED Japan Program for Infectious Diseases Research and Infrastructure (JP22wm0125008 to Keita Matsuno); AMED CREST (JP21gm1610005, to Kazuo Takayama; JP22gm1610008, to Takasuke Fukuhara; JST PRESTO (JPMJPR22R1, to Jumpei Ito); JST CREST (JPMJCR20H4, to Kei Sato); JSPS KAKENHI Fund for the Promotion of Joint International Research (International Leading Research) (JP23K20041, to G2P-Japan Consortium, Keita Matsuno, Takasuke Fukuhara and Kei Sato); JST SPRING (JPMJSP2108 to Shigeru Fujita); JSPS KAKENHI Grant-in-Aid for Scientific Research C (22K07103, to Terumasa Ikeda); JSPS KAKENHI Grant-in-Aid for Scientific Research B (21H02736, to Takasuke Fukuhara); JSPS KAKENHI Grant-in-Aid for Early-Career Scientists (22K16375, to Hesham Nasser; 20K15767, to Jumpei Ito); JSPS Core-to-Core Program (A. Advanced Research Networks) (JPJSCCA20190008, to Kei Sato); JSPS Research Fellow DC2 (22J11578, to Keiya Uriu); JSPS Research Fellow DC1 (23KJ0710, to Yusuke Kosugi); JSPS Leading Initiative for Excellent Young Researchers (LEADER) (to Terumasa Ikeda); World-leading Innovative and Smart Education (WISE) Program 1801 from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) (to Naganori Nao); Ministry of Health, Labour and Welfare (MHLW) under grant 23HA2010 (to Naganori Nao and Keita Matsuno); The Cooperative Research Program (Joint Usage/Research Center program) of Institute for Life and Medical Sciences, Kyoto University (to Kei Sato); International Joint Research Project of the Institute of Medical Science, the University of Tokyo (to Terumasa Ikeda and Takasuke Fukuhara); The Tokyo Biochemical Research Foundation (to Kei Sato); Takeda Science Foundation (to Terumasa Ikeda and Takasuke Fukuhara); Mochida Memorial Foundation for Medical and Pharmaceutical Research (to Terumasa Ikeda); The Naito Foundation (to Terumasa Ikeda); Hokuto Foundation for Bioscience (to Tomokazu Tamura); Hirose Foundation (to Tomokazu Tamura); and Mitsubishi Foundation (to Kei Sato).
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Affiliation(s)
- Shigeru Fujita
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Arnon Plianchaisuk
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Sayaka Deguchi
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Hayato Ito
- Department of Microbiology and Immunology, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Naganori Nao
- One Health Research Center, Hokkaido University, Sapporo, Japan; Institute for Vaccine Research and Development (IVReD), Hokkaido University, Sapporo, Japan; Division of International Research Promotion, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Lei Wang
- Department of Cancer Pathology, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, Japan
| | - Hesham Nasser
- Division of Molecular Virology and Genetics, Joint Research Center for Human Retrovirus infection, Kumamoto University, Kumamoto, Japan; Department of Clinical Pathology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Tomokazu Tamura
- Department of Microbiology and Immunology, Faculty of Medicine, Hokkaido University, Sapporo, Japan; One Health Research Center, Hokkaido University, Sapporo, Japan; Institute for Vaccine Research and Development (IVReD), Hokkaido University, Sapporo, Japan
| | - Izumi Kimura
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yukie Kashima
- Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - Rigel Suzuki
- Department of Microbiology and Immunology, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Institute for Vaccine Research and Development (IVReD), Hokkaido University, Sapporo, Japan
| | - Saori Suzuki
- Department of Microbiology and Immunology, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Institute for Vaccine Research and Development (IVReD), Hokkaido University, Sapporo, Japan
| | - Izumi Kida
- Division of Risk Analysis and Management, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Masumi Tsuda
- Department of Cancer Pathology, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, Japan
| | - Yoshitaka Oda
- Department of Cancer Pathology, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Rina Hashimoto
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Yukio Watanabe
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Keiya Uriu
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Daichi Yamasoba
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Faculty of Medicine, Kobe University, Kobe, Japan
| | - Ziyi Guo
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Alfredo A Hinay
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yusuke Kosugi
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Luo Chen
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - Lin Pan
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - Yu Kaku
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Hin Chu
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Flora Donati
- Institut Pasteur, Université Paris Cité, CNRS UMR 3569, Molecular Genetics of RNA Viruses Unit, Paris, France; Institut Pasteur, Université Paris Cité, National Reference Center for Respiratory Viruses, Paris, France
| | - Sarah Temmam
- Institut Pasteur, Université Paris Cité, Pathogen Discovery Laboratory, Paris, France; Institut Pasteur, Université Paris Cité, The WOAH(OIE) Collaborating Center for the Detection and Identification in Humans of Emerging Animal Pathogens, Paris, France
| | - Marc Eloit
- Institut Pasteur, Université Paris Cité, Pathogen Discovery Laboratory, Paris, France; Institut Pasteur, Université Paris Cité, The WOAH(OIE) Collaborating Center for the Detection and Identification in Humans of Emerging Animal Pathogens, Paris, France
| | | | | | | | - Mami Nagashima
- Tokyo Metropolitan Institute of Public Health, Tokyo, Japan
| | - Kenji Sadamasu
- Tokyo Metropolitan Institute of Public Health, Tokyo, Japan
| | | | - Yutaka Suzuki
- Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - Jumpei Ito
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan; International Research Center for Infectious Diseases, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Terumasa Ikeda
- Division of Molecular Virology and Genetics, Joint Research Center for Human Retrovirus infection, Kumamoto University, Kumamoto, Japan
| | - Shinya Tanaka
- Department of Cancer Pathology, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, Japan.
| | - Keita Matsuno
- One Health Research Center, Hokkaido University, Sapporo, Japan; Institute for Vaccine Research and Development (IVReD), Hokkaido University, Sapporo, Japan; Division of Risk Analysis and Management, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan; International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan.
| | - Takasuke Fukuhara
- Department of Microbiology and Immunology, Faculty of Medicine, Hokkaido University, Sapporo, Japan; One Health Research Center, Hokkaido University, Sapporo, Japan; Institute for Vaccine Research and Development (IVReD), Hokkaido University, Sapporo, Japan; AMED-CREST, Japan Agency for Medical Research and Development (AMED), Tokyo, Japan; Laboratory of Virus Control, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.
| | - Kazuo Takayama
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan; AMED-CREST, Japan Agency for Medical Research and Development (AMED), Tokyo, Japan.
| | - Kei Sato
- Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan; International Research Center for Infectious Diseases, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan; CREST, Japan Science and Technology Agency, Saitama, Japan; International Vaccine Design Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Collaboration Unit for Infection, Joint Research Center for Human Retrovirus infection, Kumamoto University, Kumamoto, Japan; MRC-University of Glasgow Centre for Virus Research, Glasgow, UK.
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6
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Hu B, Guo H, Si H, Shi Z. Emergence of SARS and COVID-19 and preparedness for the next emerging disease X. Front Med 2024; 18:1-18. [PMID: 38561562 DOI: 10.1007/s11684-024-1066-6] [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: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 04/04/2024]
Abstract
Severe acute respiratory syndrome (SARS) and Coronavirus disease 2019 (COVID-19) are two human Coronavirus diseases emerging in this century, posing tremendous threats to public health and causing great loss to lives and economy. In this review, we retrospect the studies tracing the molecular evolution of SARS-CoV, and we sort out current research findings about the potential ancestor of SARS-CoV-2. Updated knowledge about SARS-CoV-2-like viruses found in wildlife, the animal susceptibility to SARS-CoV-2, as well as the interspecies transmission risk of SARS-related coronaviruses (SARSr-CoVs) are gathered here. Finally, we discuss the strategies of how to be prepared against future outbreaks of emerging or re-emerging coronaviruses.
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Affiliation(s)
- Ben Hu
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Hua Guo
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Haorui Si
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhengli Shi
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China.
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7
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Ma B, Gong H, Xu Q, Gao Y, Guan A, Wang H, Hua K, Luo R, Jin H. Bases-dependent Rapid Phylogenetic Clustering (Bd-RPC) enables precise and efficient phylogenetic estimation in viruses. Virus Evol 2024; 10:veae005. [PMID: 38361823 PMCID: PMC10868571 DOI: 10.1093/ve/veae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 01/06/2024] [Accepted: 01/22/2024] [Indexed: 02/17/2024] Open
Abstract
Understanding phylogenetic relationships among species is essential for many biological studies, which call for an accurate phylogenetic tree to understand major evolutionary transitions. The phylogenetic analyses present a major challenge in estimation accuracy and computational efficiency, especially recently facing a wave of severe emerging infectious disease outbreaks. Here, we introduced a novel, efficient framework called Bases-dependent Rapid Phylogenetic Clustering (Bd-RPC) for new sample placement for viruses. In this study, a brand-new recoding method called Frequency Vector Recoding was implemented to approximate the phylogenetic distance, and the Phylogenetic Simulated Annealing Search algorithm was developed to match the recoded distance matrix with the phylogenetic tree. Meanwhile, the indel (insertion/deletion) was heuristically introduced to foreign sequence recognition for the first time. Here, we compared the Bd-RPC with the recent placement software (PAGAN2, EPA-ng, TreeBeST) and evaluated it in Alphacoronavirus, Alphaherpesvirinae, and Betacoronavirus by using Split and Robinson-Foulds distances. The comparisons showed that Bd-RPC maintained the highest precision with great efficiency, demonstrating good performance in new sample placement on all three virus genera. Finally, a user-friendly website (http://www.bd-rpc.xyz) is available for users to classify new samples instantly and facilitate exploration of the phylogenetic research in viruses, and the Bd-RPC is available on GitHub (http://github.com/Bin-Ma/bd-rpc).
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Affiliation(s)
- Bin Ma
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
| | - Huimin Gong
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
| | - Qianshuai Xu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
| | - Yuan Gao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
| | - Aohan Guan
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
| | - Haoyu Wang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
| | - Kexin Hua
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
| | - Rui Luo
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
| | - Hui Jin
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
- College of Veterinary Medicine, Huazhong Agricultural University, No.1 Shizishan Street, Wuhan, Hubei 430070, China
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8
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Zhuang J, Yan Z, Zhou T, Li Y, Wang H. The role of receptors in the cross-species spread of coronaviruses infecting humans and pigs. Arch Virol 2024; 169:35. [PMID: 38265497 DOI: 10.1007/s00705-023-05956-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 11/19/2023] [Indexed: 01/25/2024]
Abstract
The pandemic caused by SARS-CoV-2, which has proven capable of infecting over 30 animal species, highlights the critical need for understanding the mechanisms of cross-species transmission and the emergence of novel coronavirus strains. The recent discovery of CCoV-HuPn-2018, a recombinant alphacoronavirus from canines and felines that can infect humans, along with evidence of SARS-CoV-2 infection in pig cells, underscores the potential for coronaviruses to overcome species barriers. This review investigates the origins and cross-species transmission of both human and porcine coronaviruses, with a specific emphasis on the instrumental role receptors play in this process.
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Affiliation(s)
- Jie Zhuang
- Department of Basic Veterinary Medicine, College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, 121000, China
| | - Zhiwei Yan
- Department of Basic Veterinary Medicine, College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, 121000, China
| | - Tiezhong Zhou
- Department of Basic Veterinary Medicine, College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, 121000, China
| | - Yonggang Li
- Department of Pathogenic Biology, School of Basic Medical Sciences, Jinzhou Medical University, Jinzhou, 121000, China.
| | - Huinuan Wang
- Department of Basic Veterinary Medicine, College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, 121000, China.
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9
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Esquivel Gomez LR, Weber A, Kocher A, Kühnert D. Recombination-aware phylogenetic analysis sheds light on the evolutionary origin of SARS-CoV-2. Sci Rep 2024; 14:541. [PMID: 38177346 PMCID: PMC10766966 DOI: 10.1038/s41598-023-50952-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 12/28/2023] [Indexed: 01/06/2024] Open
Abstract
SARS-CoV-2 can infect human cells through the recognition of the human angiotensin-converting enzyme 2 receptor. This affinity is given by six amino acid residues located in the variable loop of the receptor binding domain (RBD) within the Spike protein. Genetic recombination involving bat and pangolin Sarbecoviruses, and natural selection have been proposed as possible explanations for the acquisition of the variable loop and these amino acid residues. In this study we employed Bayesian phylogenetics to jointly reconstruct the phylogeny of the RBD among human, bat and pangolin Sarbecoviruses and detect recombination events affecting this region of the genome. A recombination event involving RaTG13, the closest relative of SARS-CoV-2 that lacks five of the six residues, and an unsampled Sarbecovirus lineage was detected. This result suggests that the variable loop of the RBD didn't have a recombinant origin and the key amino acid residues were likely present in the common ancestor of SARS-CoV-2 and RaTG13, with the latter losing five of them probably as the result of recombination.
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Affiliation(s)
- Luis Roger Esquivel Gomez
- Transmission, Infection, Diversification and Evolution Group (tide), Max Planck Institute of Geoanthropology (Formerly MPI for the Science of Human History), Jena, Germany.
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
- Phylogenomics Unit, Center for Artificial Intelligence in Public Health Research, Robert Koch Institute, Wildau, Germany.
| | - Ariane Weber
- Transmission, Infection, Diversification and Evolution Group (tide), Max Planck Institute of Geoanthropology (Formerly MPI for the Science of Human History), Jena, Germany
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Arthur Kocher
- Transmission, Infection, Diversification and Evolution Group (tide), Max Planck Institute of Geoanthropology (Formerly MPI for the Science of Human History), Jena, Germany
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Denise Kühnert
- Transmission, Infection, Diversification and Evolution Group (tide), Max Planck Institute of Geoanthropology (Formerly MPI for the Science of Human History), Jena, Germany.
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
- Phylogenomics Unit, Center for Artificial Intelligence in Public Health Research, Robert Koch Institute, Wildau, Germany.
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10
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Lu S, Luo S, Liu C, Li M, An X, Li M, Hou J, Fan H, Mao P, Tong Y, Song L. Induction of significant neutralizing antibodies against SARS-CoV-2 by a highly attenuated pangolin coronavirus variant with a 104nt deletion at the 3'-UTR. Emerg Microbes Infect 2023; 12:2151383. [PMID: 36453209 PMCID: PMC9769135 DOI: 10.1080/22221751.2022.2151383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
SARS-CoV-2 related coronaviruses (SARS-CoV-2r) from Guangdong and Guangxi pangolins have been implicated in the emergence of SARS-CoV-2 and future pandemics. We previously reported the culture of a SARS-CoV-2r GX_P2V from Guangxi pangolins. Here we report the GX_P2V isolate rapidly adapted to Vero cells by acquiring two genomic mutations: an alanine to valine substitution in the nucleoprotein and a 104-nucleotide deletion in the hypervariable region (HVR) of the 3'-terminus untranslated region (3'-UTR). We further report the characterization of the GX_P2V variant (renamed GX_P2V(short_3UTR)) in in vitro and in vivo infection models. In cultured Vero, BGM and Calu-3 cells, GX_P2V(short_3UTR) had similar robust replication kinetics, and consistently produced minimum cell damage. GX_P2V(short_3UTR) infected golden hamsters and BALB/c mice but was highly attenuated. Golden hamsters infected intranasally had a short duration of productive infection in pulmonary, not extrapulmonary, tissues. These productive infections induced neutralizing antibodies against pseudoviruses of GX_P2V and SARS-CoV-2. Collectively, our data show that the GX_P2V(short_3UTR) is highly attenuated in in vitro and in vivo infection models. Attenuation of the variant is likely partially due to the 104-nt deletion in the HVR in the 3'-UTR. This study furthers our understanding of pangolin coronaviruses pathogenesis and provides novel insights for the design of live attenuated vaccines against SARS-CoV-2.
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Affiliation(s)
- Shanshan Lu
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People’s Republic of China
| | - Shengdong Luo
- Department of Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China
| | - Chang Liu
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People’s Republic of China
| | - Muli Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, People’s Republic of China
| | - Xiaoping An
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People’s Republic of China
| | - Mengzhe Li
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People’s Republic of China
| | - Jun Hou
- Department of Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China
| | - Huahao Fan
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People’s Republic of China,Huahao Fan Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People’s Republic of China
| | - Panyong Mao
- Department of Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China,Panyong Mao Department of Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, People’s Republic of China
| | - Yigang Tong
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People’s Republic of China,Yigang Tong Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People’s Republic of China
| | - Lihua Song
- Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People’s Republic of China, Lihua Song Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, People’s Republic of China
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11
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Zhao R, Niu S, Han P, Gao Y, Liu D, Luo C, Liu H, Liu B, Xu Y, Qi J, Chen Z, Shi W, Wu L, Gao GF, Wang Q. Cross-species recognition of bat coronavirus RsYN04 and cross-reaction of SARS-CoV-2 antibodies against the virus. Zool Res 2023; 44:1015-1025. [PMID: 37804113 PMCID: PMC10802104 DOI: 10.24272/j.issn.2095-8137.2023.187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 09/12/2023] [Indexed: 10/08/2023] Open
Abstract
Following the outbreak of coronavirus disease 2019 (COVID-19), several severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related coronaviruses have been discovered. Previous research has identified a novel lineage of SARS-CoV-2-related CoVs in bats, including RsYN04, which recognizes human angiotensin-converting enzyme 2 (ACE2) and thus poses a potential threat to humans. Here, we screened the binding of the RsYN04 receptor-binding domain (RBD) to ACE2 orthologs from 52 animal species and found that the virus showed a narrower ACE2-binding spectrum than SARS-CoV-2. However, the presence of the T484W mutation in the RsYN04 RBD broadened its range. We also evaluated 44 SARS-CoV-2 antibodies targeting seven epitope communities in the SARS-CoV-2 RBD, together with serum obtained from COVID-19 convalescents and vaccinees, to determine their cross-reaction against RsYN04. Results showed that no antibodies, except for the RBD-6 and RBD-7 classes, bound to the RsYN04 RBD, indicating substantial immune differences from SARS-CoV-2. Furthermore, the structure of the RsYN04 RBD in complex with cross-reactive antibody S43 in RBD-7 revealed a potently broad epitope for the development of therapeutics and vaccines. Our findings suggest RsYN04 and other viruses belonging to the same clade have the potential to infect several species, including humans, highlighting the necessity for viral surveillance and development of broad anti-coronavirus countermeasures.
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Affiliation(s)
- Runchu Zhao
- Institute of Physical Science and Information, Anhui University, Hefei, Anhui 230039, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Sheng Niu
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yue Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- School of Life Sciences, Hebei University, Baoding, Hebei 071002, China
| | - Dezhi Liu
- Institute of Physical Science and Information, Anhui University, Hefei, Anhui 230039, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Chunliang Luo
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
| | - Honghui Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Bo Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
| | - Yanli Xu
- Center of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhihai Chen
- Center of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Weifeng Shi
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong 271000, China
| | - Lili Wu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China. E-mail:
| | - George F Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qihui Wang
- Institute of Physical Science and Information, Anhui University, Hefei, Anhui 230039, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China. E-mail:
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12
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Habeebur‐Rahman SP, Noni V, Khan FAA, Tan C. Detection of novel coronaviruses from dusky fruit bat (Penthetor lucasi) in Sarawak, Malaysian Borneo. Vet Med Sci 2023; 9:2634-2641. [PMID: 37658663 PMCID: PMC10650259 DOI: 10.1002/vms3.1251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 08/01/2023] [Accepted: 08/18/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND Sarawak has one of the highest diversity of fruit bats species (family Pteropodidae) in Malaysia, with 19 species described. Most coronavirus (CoV) studies have mainly focused on insectivorous bats, resulting in a lack of information on CoVs present in frugivorous bats. In addition, bat CoV surveillance activities are lacking in Malaysia. OBJECTIVES Our study focuses on determining the presence of bat CoVs in dusky fruit bat (Penthetor lucasi). METHODS Guano samples belonging to P. lucasi were collected from Wind Cave Nature Reserve. The samples were screened for the presence of CoVs using validated hemi-nested consensus RNA-dependent RNA polymerase consensus primers. RESULTS The bat CoV positivity rate was 38.5% (n = 15/39), with the viruses belonging to two subgenera: Alphacoronavirus (α-CoV) and Betacoronavirus (β-CoV). Phylogenetic analysis revealed that CoVs from 14 samples of P. lucasi belong to the genus α-CoV and may represent previously described genetic lineages in insectivorous bats in Wind Cave. However, only one sample of P. lucasi was detected with β-CoV which is closely related to subgenus Nobecovirus, which is commonly seen in frugivorous bats. CONCLUSIONS This study provides the first available data on CoVs circulating in P. lucasi.
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Affiliation(s)
- Sultana Parvin Habeebur‐Rahman
- Center for Tropical and Emerging DiseasesFaculty of Medicine and Health SciencesUniversiti Malaysia SarawakKota SamarahanSarawakMalaysia
| | - Vaenessa Noni
- Center for Tropical and Emerging DiseasesFaculty of Medicine and Health SciencesUniversiti Malaysia SarawakKota SamarahanSarawakMalaysia
| | - Faisal Ali Anwarali Khan
- Faculty of Resource Science and TechnologyUniversiti Malaysia SarawakKota SamarahanSarawakMalaysia
| | - Cheng‐Siang Tan
- Center for Tropical and Emerging DiseasesFaculty of Medicine and Health SciencesUniversiti Malaysia SarawakKota SamarahanSarawakMalaysia
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13
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Wang Q, Noettger S, Xie Q, Pastorio C, Seidel A, Müller JA, Jung C, Jacob T, Sparrer KMJ, Zech F, Kirchhoff F. Determinants of species-specific utilization of ACE2 by human and animal coronaviruses. Commun Biol 2023; 6:1051. [PMID: 37848611 PMCID: PMC10582019 DOI: 10.1038/s42003-023-05436-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 10/09/2023] [Indexed: 10/19/2023] Open
Abstract
Utilization of human ACE2 allowed several bat coronaviruses (CoVs), including the causative agent of COVID-19, to infect humans directly or via intermediate hosts. However, the determinants of species-specific differences in ACE2 usage and the frequency of the ability of animal CoVs to use human ACE2 are poorly understood. Here we applied VSV pseudoviruses to analyze the ability of Spike proteins from 26 human or animal CoVs to use ACE2 receptors across nine reservoir, potential intermediate and human hosts. We show that SARS-CoV-2 Omicron variants evolved towards more efficient ACE2 usage but mutation of R493Q in BA.4/5 and XBB Spike proteins disrupts utilization of ACE2 from Greater horseshoe bats. Variations in ACE2 residues 31, 41 and 354 govern species-specific differences in usage by coronaviral Spike proteins. Mutation of T403R allows the RaTG13 bat CoV Spike to efficiently use all ACE2 orthologs for viral entry. Sera from COVID-19 vaccinated individuals neutralize the Spike proteins of various bat Sarbecoviruses. Our results define determinants of ACE2 receptor usage of diverse CoVs and suggest that COVID-19 vaccination may protect against future zoonoses of bat coronaviruses.
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Affiliation(s)
- Qingxing Wang
- Institute of Molecular Virology, Ulm University Medical Center, 89081, Ulm, Germany
| | - Sabrina Noettger
- Institute of Molecular Virology, Ulm University Medical Center, 89081, Ulm, Germany
| | - Qinya Xie
- Institute of Molecular Virology, Ulm University Medical Center, 89081, Ulm, Germany
| | - Chiara Pastorio
- Institute of Molecular Virology, Ulm University Medical Center, 89081, Ulm, Germany
| | - Alina Seidel
- Institute of Molecular Virology, Ulm University Medical Center, 89081, Ulm, Germany
| | - Janis A Müller
- Institute of Molecular Virology, Ulm University Medical Center, 89081, Ulm, Germany
- Institute of Virology, Philipps University Marburg, 35043, Marburg, Germany
| | - Christoph Jung
- Institute of Electrochemistry, Ulm University, 89081, Ulm, Germany
- Helmholtz-Institute Ulm (HIU) Electrochemical Energy Storage, 89081, Ulm, Germany
- Karlsruhe Institute of Technology (KIT), 76021, Karlsruhe, Germany
| | - Timo Jacob
- Institute of Electrochemistry, Ulm University, 89081, Ulm, Germany
- Helmholtz-Institute Ulm (HIU) Electrochemical Energy Storage, 89081, Ulm, Germany
- Karlsruhe Institute of Technology (KIT), 76021, Karlsruhe, Germany
| | | | - Fabian Zech
- Institute of Molecular Virology, Ulm University Medical Center, 89081, Ulm, Germany
| | - Frank Kirchhoff
- Institute of Molecular Virology, Ulm University Medical Center, 89081, Ulm, Germany.
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14
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Nooruzzaman M, Diel DG. Infection Dynamics, Pathogenesis, and Immunity to SARS-CoV-2 in Naturally Susceptible Animal Species. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 211:1195-1201. [PMID: 37782853 PMCID: PMC10558081 DOI: 10.4049/jimmunol.2300378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 07/13/2023] [Indexed: 10/04/2023]
Abstract
SARS-CoV-2, the causative agent of the COVID-19 pandemic, presents a broad host range. Domestic cats and white-tailed deer (WTD) are particularly susceptible to SARS-CoV-2 with multiple variant strains being associated with infections in these species. The virus replicates in the upper respiratory tract and in associated lymphoid tissues, and it is shed through oral and nasal secretions, which leads to efficient transmission of the virus to contact animals. Robust cell-mediated and humoral immune responses are induced upon infection in domestic cats, which curb the progression of clinical disease and are associated with control of infection. In WTD, high levels of neutralizing Abs are detected early upon infection. In this review, the current understanding of the infection dynamics, pathogenesis, and immune responses to SARS-CoV-2 infection in animals, with special focus on naturally susceptible felids and WTD, are discussed.
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Affiliation(s)
- Mohammed Nooruzzaman
- Department of Population Medicine and Diagnostic Sciences, Animal Health Diagnostic Center, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, United States of America
| | - Diego G. Diel
- Department of Population Medicine and Diagnostic Sciences, Animal Health Diagnostic Center, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, United States of America
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15
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Liu B, Zhao P, Xu P, Han Y, Wang Y, Chen L, Wu Z, Yang J. A comprehensive dataset of animal-associated sarbecoviruses. Sci Data 2023; 10:681. [PMID: 37805633 PMCID: PMC10560225 DOI: 10.1038/s41597-023-02558-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 09/11/2023] [Indexed: 10/09/2023] Open
Abstract
Zoonotic spillover of sarbecoviruses (SarbeCoVs) from non-human animals to humans under natural conditions has led to two large-scale pandemics, the severe acute respiratory syndrome (SARS) pandemic in 2003 and the ongoing COVID-19 pandemic. Knowledge of the genetic diversity, geographical distribution, and host specificity of SarbeCoVs is therefore of interest for pandemic surveillance and origin tracing of SARS-CoV and SARS-CoV-2. This study presents a comprehensive repository of publicly available animal-associated SarbeCoVs, covering 1,535 viruses identified from 63 animal species distributed in 43 countries worldwide (as of February 14,2023). Relevant meta-information, such as host species, sampling time and location, was manually curated and included in the dataset to facilitate further research on the potential patterns of viral diversity and ecological characteristics. In addition, the dataset also provides well-annotated sequence sets of receptor-binding domains (RBDs) and receptor-binding motifs (RBMs) for the scientific community to highlight the potential determinants of successful cross-species transmission that could be aid in risk estimation and strategic design for future emerging infectious disease control and prevention.
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Affiliation(s)
- Bo Liu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 110730, China
| | - Peng Zhao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 110730, China
| | - Panpan Xu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 110730, China
| | - Yelin Han
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 110730, China
| | - Yuyang Wang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 110730, China
| | - Lihong Chen
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 110730, China.
| | - Zhiqiang Wu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 110730, China.
| | - Jian Yang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 110730, China.
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16
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Hou YJ, Chiba S, Leist SR, Meganck RM, Martinez DR, Schäfer A, Catanzaro NJ, Sontake V, West A, Edwards CE, Yount B, Lee RE, Gallant SC, Zost SJ, Powers J, Adams L, Kong EF, Mattocks M, Tata A, Randell SH, Tata PR, Halfmann P, Crowe JE, Kawaoka Y, Baric RS. Host range, transmissibility and antigenicity of a pangolin coronavirus. Nat Microbiol 2023; 8:1820-1833. [PMID: 37749254 PMCID: PMC10522490 DOI: 10.1038/s41564-023-01476-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 08/14/2023] [Indexed: 09/27/2023]
Abstract
The pathogenic and cross-species transmission potential of SARS-CoV-2-related coronaviruses (CoVs) remain poorly characterized. Here we recovered a wild-type pangolin (Pg) CoV GD strain including derivatives encoding reporter genes using reverse genetics. In primary human cells, PgCoV replicated efficiently but with reduced fitness and showed less efficient transmission via airborne route compared with SARS-CoV-2 in hamsters. PgCoV was potently inhibited by US Food and Drug Administration approved drugs, and neutralized by COVID-19 patient sera and SARS-CoV-2 therapeutic antibodies in vitro. A pan-Sarbecovirus antibody and SARS-CoV-2 S2P recombinant protein vaccine protected BALB/c mice from PgCoV infection. In K18-hACE2 mice, PgCoV infection caused severe clinical disease, but mice were protected by a SARS-CoV-2 human antibody. Efficient PgCoV replication in primary human cells and hACE2 mice, coupled with a capacity for airborne spread, highlights an emergence potential. However, low competitive fitness, pre-immune humans and the benefit of COVID-19 countermeasures should impede its ability to spread globally in human populations.
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Affiliation(s)
- Yixuan J Hou
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Moderna Inc., Cambridge, MA, USA
| | - Shiho Chiba
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI, USA
| | - Sarah R Leist
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rita M Meganck
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - David R Martinez
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alexandra Schäfer
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nicholas J Catanzaro
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Vishwaraj Sontake
- Department of Cell Biology, Regeneration Next Initiative, Duke University Medical Center, Durham, NC, USA
| | - Ande West
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Catlin E Edwards
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Boyd Yount
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rhianna E Lee
- Marsico Lung Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Samuel C Gallant
- Marsico Lung Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Seth J Zost
- Vanderbilt Vaccine Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John Powers
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lily Adams
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Edgar F Kong
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Melissa Mattocks
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Aleksandra Tata
- Department of Cell Biology, Regeneration Next Initiative, Duke University Medical Center, Durham, NC, USA
| | - Scott H Randell
- Marsico Lung Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Purushothama R Tata
- Department of Cell Biology, Regeneration Next Initiative, Duke University Medical Center, Durham, NC, USA
| | - Peter Halfmann
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI, USA
| | - James E Crowe
- Vanderbilt Vaccine Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yoshihiro Kawaoka
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI, USA
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Ralph S Baric
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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17
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Sayedahmed EE, Araújo MV, Silva-Pereira TT, Chothe SK, Elkashif A, Alhashimi M, Wang WC, Santos AP, Nair MS, Gontu A, Nissly R, Francisco de Souza Filho A, Tavares MS, Ayupe MC, Salgado CL, Donizetti de Oliveira Candido É, Leal Oliveira DB, Durigon EL, Heinemann MB, Morais da Fonseca D, Jagannath C, Sá Guimarães AM, Kuchipudi SV, Mittal SK. Impact of an autophagy-inducing peptide on immunogenicity and protection efficacy of an adenovirus-vectored SARS-CoV-2 vaccine. Mol Ther Methods Clin Dev 2023; 30:194-207. [PMID: 37502665 PMCID: PMC10299838 DOI: 10.1016/j.omtm.2023.06.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 06/23/2023] [Indexed: 07/29/2023]
Abstract
Because of continual generation of new variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is critical to design the next generation of vaccines to combat the threat posed by SARS-CoV-2 variants. We developed human adenovirus (HAd) vector-based vaccines (HAd-Spike/C5 and HAd-Spike) that express the whole Spike (S) protein of SARS-CoV-2 with or without autophagy-inducing peptide C5 (AIP-C5), respectively. Mice or golden Syrian hamsters immunized intranasally (i.n.) with HAd-Spike/C5 induced similar levels of S-specific humoral immune responses and significantly higher levels of S-specific cell-mediated immune (CMI) responses compared with HAd-Spike vaccinated groups. These results indicated that inclusion of AIP-C5 induced enhanced S-specific CMI responses and similar levels of virus-neutralizing titers against SARS-CoV-2 variants. To investigate the protection efficacy, golden Syrian hamsters immunized i.n. either with HAd-Spike/C5 or HAd-Spike were challenged with SARS-CoV-2. The lungs and nasal turbinates were collected 3, 5, 7, and 14 days post challenge. Significant reductions in morbidity, virus titers, and lung histopathological scores were observed in immunized groups compared with the mock- or empty vector-inoculated groups. Overall, slightly better protection was seen in the HAd-Spike/C5 group compared with the HAd-Spike group.
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Affiliation(s)
- Ekramy E. Sayedahmed
- Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN, USA
- Purdue Institute of Inflammation, Immunology, and Infectious Disease, Purdue University, West Lafayette, IN, USA
- Institute for Cancer Research, Purdue University, West Lafayette, IN, USA
| | - Marcelo Valdemir Araújo
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
- Butantan Institute, São Paulo, Brazil
| | - Taiana Tainá Silva-Pereira
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Shubhada K. Chothe
- Department of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, PA, USA
| | - Ahmed Elkashif
- Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN, USA
- Purdue Institute of Inflammation, Immunology, and Infectious Disease, Purdue University, West Lafayette, IN, USA
- Institute for Cancer Research, Purdue University, West Lafayette, IN, USA
| | - Marwa Alhashimi
- Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN, USA
- Purdue Institute of Inflammation, Immunology, and Infectious Disease, Purdue University, West Lafayette, IN, USA
- Institute for Cancer Research, Purdue University, West Lafayette, IN, USA
| | - Wen-Chien Wang
- Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN, USA
- Purdue Institute of Inflammation, Immunology, and Infectious Disease, Purdue University, West Lafayette, IN, USA
- Institute for Cancer Research, Purdue University, West Lafayette, IN, USA
| | - Andrea P. Santos
- Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN, USA
- Purdue Institute of Inflammation, Immunology, and Infectious Disease, Purdue University, West Lafayette, IN, USA
- Institute for Cancer Research, Purdue University, West Lafayette, IN, USA
| | - Meera Surendran Nair
- Department of Veterinary and Biomedical Sciences, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA
- Animal Diagnostic Laboratory, Department of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, PA, USA
| | - Abhinay Gontu
- Department of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, PA, USA
| | - Ruth Nissly
- Animal Diagnostic Laboratory, Department of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, PA, USA
| | | | - Mariana Silva Tavares
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Marina Caçador Ayupe
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Caio Loureiro Salgado
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | | | | | - Edison Luiz Durigon
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Marcos Bryan Heinemann
- Department of Preventive Veterinary Medicine and Animal Health, College of Veterinary Medicine, University of São Paulo, São Paulo, Brazil
| | - Denise Morais da Fonseca
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Chinnaswamy Jagannath
- Department of Pathology and Genomic Medicine, Center for Infectious Diseases and Translational Medicine, Houston Methodist Research Institute, Houston, TX, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Ana Marcia Sá Guimarães
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Suresh V. Kuchipudi
- Animal Diagnostic Laboratory, Department of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, PA, USA
| | - Suresh K. Mittal
- Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University, West Lafayette, IN, USA
- Purdue Institute of Inflammation, Immunology, and Infectious Disease, Purdue University, West Lafayette, IN, USA
- Institute for Cancer Research, Purdue University, West Lafayette, IN, USA
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18
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He H, Yang H, Foo R, Chan W, Zhu F, Liu Y, Zhou X, Ma L, Wang LF, Zhai W. Population genomic analysis reveals distinct demographics and recent adaptation in the black flying fox (Pteropus alecto). J Genet Genomics 2023; 50:554-562. [PMID: 37182682 DOI: 10.1016/j.jgg.2023.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/03/2023] [Accepted: 05/03/2023] [Indexed: 05/16/2023]
Abstract
As the only mammalian group capable of powered flight, bats have many unique biological traits. Previous comparative genomic studies in bats have focused on long-term evolution. However, the micro-evolutionary processes driving recent evolution are largely under-explored. Using resequencing data from 50 black flying foxes (Pteropus alecto), one of the model species for bats, we find that black flying fox has much higher genetic diversity and lower levels of linkage disequilibrium than most of the mammalian species. Demographic inference reveals strong population fluctuations (>100 fold) coinciding with multiple historical events including the last glacial change and Toba super eruption, suggesting that the black flying fox is a very resilient species with strong recovery abilities. While long-term adaptation in the black flying fox is enriched in metabolic genes, recent adaptation in the black flying fox has a unique landscape where recently selected genes are not strongly enriched in any functional category. The demographic history and mode of adaptation suggest that black flying fox might be a well-adapted species with strong evolutionary resilience. Taken together, this study unravels a vibrant landscape of recent evolution for the black flying fox and sheds light on several unique evolutionary processes for bats comparing to other mammalian groups.
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Affiliation(s)
- Haopeng He
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hechuan Yang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Randy Foo
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore; Singhealth Duke-NUS Global Health Institute, Singapore 169857, Singapore
| | - Wharton Chan
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore; Singhealth Duke-NUS Global Health Institute, Singapore 169857, Singapore
| | - Feng Zhu
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore; Singhealth Duke-NUS Global Health Institute, Singapore 169857, Singapore
| | - Yunsong Liu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xuming Zhou
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Liang Ma
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Lin-Fa Wang
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore; Singhealth Duke-NUS Global Health Institute, Singapore 169857, Singapore.
| | - Weiwei Zhai
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.
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19
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Ou X, Xu G, Li P, Liu Y, Zan F, Liu P, Hu J, Lu X, Dong S, Zhou Y, Mu Z, Wu Z, Wang J, Jin Q, Liu P, Lu J, Wang X, Qian Z. Host susceptibility and structural and immunological insight of S proteins of two SARS-CoV-2 closely related bat coronaviruses. Cell Discov 2023; 9:78. [PMID: 37507385 PMCID: PMC10382498 DOI: 10.1038/s41421-023-00581-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 06/20/2023] [Indexed: 07/30/2023] Open
Abstract
The bat coronaviruses (CoV) BANAL-20-52 and BANAL-20-236 are two newly identified severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) closely related coronaviruses (SC2r-CoV) and the genome of BANAL-20-52 shares the highest homology with SARS-CoV-2. However, the risk of their potential zoonotic transmission has not been fully evaluated. Here, we determined their potential host susceptibility among 13 different bat species and 26 different animal species, and found that both might have extensive host ranges, indicating high zoonotic transmission potential. We also determined the cryo-EM structures of BANAL-20-52 and BANAL-20-236 S proteins at pH 5.5 and the complex of BANAL-20-236 S1 and Rhinolophus affinis ACE2, and found that both trimeric S proteins adopt all three receptor binding domains (RBDs) in "closed" conformation and are more compact than SARS-CoV-2. Strikingly, the unique sugar moiety at N370 of bat SC2r-CoVs acts like a "bolt" and crosses over two neighboring subunits, facilitating the S proteins in the locked conformation and underpinning the architecture stability. Removal of the glycosylation at N370 by a T372A substitution substantially enhances virus infectivity but becomes highly sensitive to trypsin digestion at pH 5.5, a condition roughly mimicking the insectivorous bat's stomach digestion. In contrast, WT S proteins of SC2r-CoVs showed considerable resistance to trypsin digestion at pH 5.5, indicating that the highly conserved T372 in bat CoVs might result from the selective advantages in stability during the fecal-oral transmission over A372. Moreover, the results of cross-immunogenicity among S proteins of SARS-CoV-2, BANAL-20-52, and BANAL-20-236 showed that A372 pseudoviruses are more sensitive to anti-S sera than T372, indicating that immune evasion might also play a role in the natural selection of T372 over A372 during evolution. Finally, residues 493 and 498 of the S protein affect host susceptibility, and residue 498 also influences the immunogenicity of the S protein. Together, our findings aid a better understanding of the molecular basis of CoV entry, selective evolution, and immunogenicity and highlight the importance of surveillance of susceptible hosts of these viruses to prevent potential outbreaks.
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Affiliation(s)
- Xiuyuan Ou
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- State Key Laboratory of Respiratory Health and Multimorbidity, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ge Xu
- CAS Key Laboratory of Infection and Immunity, National Laboratory of Macromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Pei Li
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yan Liu
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Fuwen Zan
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Pan Liu
- CAS Key Laboratory of Infection and Immunity, National Laboratory of Macromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Jiaxin Hu
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xing Lu
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Siwen Dong
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yao Zhou
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhixia Mu
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhiqiang Wu
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- State Key Laboratory of Respiratory Health and Multimorbidity, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jianwei Wang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- State Key Laboratory of Respiratory Health and Multimorbidity, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Qi Jin
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- State Key Laboratory of Respiratory Health and Multimorbidity, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Pinghuang Liu
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Jian Lu
- College of Life Sciences, Peking University, Beijing, China
| | - Xiangxi Wang
- CAS Key Laboratory of Infection and Immunity, National Laboratory of Macromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
| | - Zhaohui Qian
- Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing, China.
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
- State Key Laboratory of Respiratory Health and Multimorbidity, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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20
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Jiang S, Zhang S, Kang X, Feng Y, Li Y, Nie M, Li Y, Chen Y, Zhao S, Jiang T, Li J. Risk Assessment of the Possible Intermediate Host Role of Pigs for Coronaviruses with a Deep Learning Predictor. Viruses 2023; 15:1556. [PMID: 37515242 PMCID: PMC10384923 DOI: 10.3390/v15071556] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 07/13/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
Swine coronaviruses (CoVs) have been found to cause infection in humans, suggesting that Suiformes might be potential intermediate hosts in CoV transmission from their natural hosts to humans. The present study aims to establish convolutional neural network (CNN) models to predict host adaptation of swine CoVs. Decomposing of each ORF1ab and Spike sequence was performed with dinucleotide composition representation (DCR) and other traits. The relationship between CoVs from different adaptive hosts was analyzed by unsupervised learning, and CNN models based on DCR of ORF1ab and Spike were built to predict the host adaptation of swine CoVs. The rationality of the models was verified with phylogenetic analysis. Unsupervised learning showed that there is a multiple host adaptation of different swine CoVs. According to the adaptation prediction of CNN models, swine acute diarrhea syndrome CoV (SADS-CoV) and porcine epidemic diarrhea virus (PEDV) are adapted to Chiroptera, swine transmissible gastroenteritis virus (TGEV) is adapted to Carnivora, porcine hemagglutinating encephalomyelitis (PHEV) might be adapted to Primate, Rodent, and Lagomorpha, and porcine deltacoronavirus (PDCoV) might be adapted to Chiroptera, Artiodactyla, and Carnivora. In summary, the DCR trait has been confirmed to be representative for the CoV genome, and the DCR-based deep learning model works well to assess the adaptation of swine CoVs to other mammals. Suiformes might be intermediate hosts for human CoVs and other mammalian CoVs. The present study provides a novel approach to assess the risk of adaptation and transmission to humans and other mammals of swine CoVs.
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Affiliation(s)
- Shuyang Jiang
- College of Mathematics, Jilin University, Changchun, Jilin 130012, China
| | - Sen Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing 100071, China
| | - Xiaoping Kang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing 100071, China
| | - Ye Feng
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing 100071, China
| | - Yadan Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing 100071, China
| | - Maoshun Nie
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing 100071, China
| | - Yuchang Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing 100071, China
| | - Yuehong Chen
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing 100071, China
| | - Shishun Zhao
- College of Mathematics, Jilin University, Changchun, Jilin 130012, China
| | - Tao Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing 100071, China
| | - Jing Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing 100071, China
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21
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Devaux CA, Fantini J. ACE2 receptor polymorphism in humans and animals increases the risk of the emergence of SARS-CoV-2 variants during repeated intra- and inter-species host-switching of the virus. Front Microbiol 2023; 14:1199561. [PMID: 37520374 PMCID: PMC10373931 DOI: 10.3389/fmicb.2023.1199561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/23/2023] [Indexed: 08/01/2023] Open
Abstract
Like other coronaviruses, SARS-CoV-2 has ability to spread through human-to-human transmission and to circulate from humans to animals and from animals to humans. A high frequency of SARS-CoV-2 mutations has been observed in the viruses isolated from both humans and animals, suggesting a genetic fitness under positive selection in both ecological niches. The most documented positive selection force driving SARS-CoV-2 mutations is the host-specific immune response. However, after electrostatic interactions with lipid rafts, the first contact between the virus and host proteins is the viral spike-cellular receptor binding. Therefore, it is likely that the first level of selection pressure impacting viral fitness relates to the virus's affinity for its receptor, the angiotensin I converting enzyme 2 (ACE2). Although sufficiently conserved in a huge number of species to support binding of the viral spike with enough affinity to initiate fusion, ACE2 is highly polymorphic both among species and within a species. Here, we provide evidence suggesting that when the viral spike-ACE2 receptor interaction is not optimal, due to host-switching, mutations can be selected to improve the affinity of the spike for the ACE2 expressed by the new host. Notably, SARS-CoV-2 is mutation-prone in the spike receptor binding domain (RBD), allowing a better fit for ACE2 orthologs in animals. It is possibly that this may also be true for rare human alleles of ACE2 when the virus is spreading to billions of people. In this study, we present evidence that human subjects expressing the rare E329G allele of ACE2 with higher allele frequencies in European populations exhibit a improved affinity for the SARS-CoV-2 spike N501Y variant of the virus. This may suggest that this viral N501Y variant emerged in the human population after SARS-CoV-2 had infected a human carrying the rare E329G allele of ACE2. In addition, this viral evolution could impact viral replication as well as the ability of the adaptive humoral response to control infection with RBD-specific neutralizing antibodies. In a shifting landscape, this ACE2-driven genetic drift of SARS-CoV-2 which we have named the 'boomerang effect', could complicate the challenge of preventing COVID with a SARS-CoV-2 spike-derived vaccine.
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Affiliation(s)
- Christian A. Devaux
- Laboratory Microbes Evolution Phylogeny and Infection (MEPHI), Aix-Marseille Université, IRD, APHM, MEPHI, IHU–Méditerranée Infection, Marseille, France
- Centre National de la Recherche Scientifique (CNRS-SNC5039), Marseille, France
| | - Jacques Fantini
- INSERM UMR_S1072, Marseille, France, Aix-Marseille Université, Marseille, France
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22
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Hussain MA, Hassan MM, Bashir BA, Gamar TA, Gasmalbari E, Mohamed AO, Osman W, Sherif AE, Elgaml A, Alhaddad AA, Ghazawi KF, Miski SF, Ainousah BE, Andijani YS, Ibrahim SRM, Mohamed GA, Ashour A. Potential Therapeutic Target and Vaccines for SARS-CoV-2. Pathogens 2023; 12:926. [PMID: 37513773 PMCID: PMC10386482 DOI: 10.3390/pathogens12070926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/06/2023] [Accepted: 07/07/2023] [Indexed: 07/30/2023] Open
Abstract
The coronavirus has become the most interesting virus for scientists because of the recently emerging deadly SARS-CoV-2. This study aimed to understand the behavior of SARS-CoV-2 through the comparative genomic analysis with the closest one among the seven species of coronavirus that infect humans. The genomes of coronavirus species that infect humans were retrieved from NCBI, and then subjected to comparative genomic analysis using different bioinformatics tools. The study revealed that SARS-CoV-2 is the most similar to SARS-CoV among the coronavirus species. The core genes were shared by the two genomes, but there were some genes, found in one of them but not in both, such as ORF8, which is found in SARS-CoV-2. The ORF8 protein of SARS-CoV-2 could be considered as a good therapeutic target for stopping viral transmission, as it was predicted to be a transmembrane protein, which is responsible for interspecies transmission. This is supported by the molecular interaction of ORF8 with both the ORF7 protein, which contains a transmembrane domain that is essential to retaining the protein in the Golgi compartment, and the S protein, which facilitates the entry of the coronavirus into host cells. ORF1ab, ORF1a, ORF8, and S proteins of SARS-CoV-2 could be immunogenic and capable of evoking an immune response, which means that these four proteins could be considered a potential vaccine source. Overall, SARS-CoV-2 is most related to SARS-CoV. ORF8 could be considered a potential therapeutic target for stopping viral transmission, and ORF1ab, ORF1a, ORF8, and the S proteins of SARS-CoV-2 could be utilized as a potential vaccine source.
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Affiliation(s)
- Mohamed A Hussain
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, International University of Africa, Khartoum 11111, Sudan
| | - Mohamed M Hassan
- Department of Hematology, Faculty of Medical Laboratory Science, National University, Khartoum 11111, Sudan
| | - Bashir Abdrhman Bashir
- Department of Hematology, Faculty of Medical Laboratory Sciences, Port Sudan Ahlia College, Port Sudan 33312, Sudan
| | - Tarig A Gamar
- Department of Medical Parasitology, Faculty of Medical Laboratory Sciences, University of Sciences and Technology, Khartoum North 13311, Sudan
| | - Elmuaiz Gasmalbari
- Faculty of Medicine, Omdurman Islamic University, Al Khartoum 14415, Sudan
| | - Ahmed Osman Mohamed
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, International University of Africa, Khartoum 11111, Sudan
| | - Wadah Osman
- Department of Pharmacognosy, Faculty of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
- Department of Pharmacognosy, Faculty of Pharmacy, University of Khartoum, Al-Qasr Ave, Khartoum 11111, Sudan
| | - Asmaa E Sherif
- Department of Pharmacognosy, Faculty of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
- Department of Pharmacognosy, Faculty of Pharmacy, Mansoura University, Mansoura 35511, Egypt
| | - Abdelaziz Elgaml
- Microbiology and Immunology Department, Faculty of Pharmacy, Mansoura University, Mansoura 35511, Egypt
- Microbiology and Immunology Department, Faculty of Pharmacy, Horus University, New Damietta 34517, Egypt
| | - Aisha A Alhaddad
- Department of Pharmacology and Toxicology, College of Pharmacy, Taibah University, Al-Madinah Al-Munawwarah 30078, Saudi Arabia
| | - Kholoud F Ghazawi
- Clinical Pharmacy Department, College of Pharmacy, Umm Al-Qura University, Makkah 24382, Saudi Arabia
| | - Samar F Miski
- Department of Pharmacology and Toxicology, College of Pharmacy, Taibah University, Al-Madinah Al-Munawwarah 30078, Saudi Arabia
| | - Bayan E Ainousah
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Umm Al-Qura University, Makkah 21955, Saudi Arabia
| | - Yusra Saleh Andijani
- Department of Pharmacology and Toxicology, College of Pharmacy, Taibah University, Al-Madinah Al-Munawwarah 30078, Saudi Arabia
| | - Sabrin R M Ibrahim
- Preparatory Year Program, Department of Chemistry, Batterjee Medical College, Jeddah 21442, Saudi Arabia
- Department of Pharmacognosy, Faculty of Pharmacy, Assiut University, Assiut 71526, Egypt
| | - Gamal A Mohamed
- Department of Natural Products and Alternative Medicine, Faculty of Pharmacy, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Ahmed Ashour
- Department of Pharmacognosy, Faculty of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
- Department of Pharmacognosy, Faculty of Pharmacy, Mansoura University, Mansoura 35511, Egypt
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23
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Wang J, Pan YF, Yang LF, Yang WH, Lv K, Luo CM, Wang J, Kuang GP, Wu WC, Gou QY, Xin GY, Li B, Luo HL, Chen S, Shu YL, Guo D, Gao ZH, Liang G, Li J, Chen YQ, Holmes EC, Feng Y, Shi M. Individual bat virome analysis reveals co-infection and spillover among bats and virus zoonotic potential. Nat Commun 2023; 14:4079. [PMID: 37429936 DOI: 10.1038/s41467-023-39835-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 06/26/2023] [Indexed: 07/12/2023] Open
Abstract
Bats are reservoir hosts for many zoonotic viruses. Despite this, relatively little is known about the diversity and abundance of viruses within individual bats, and hence the frequency of virus co-infection and spillover among them. We characterize the mammal-associated viruses in 149 individual bats sampled from Yunnan province, China, using an unbiased meta-transcriptomics approach. This reveals a high frequency of virus co-infection (simultaneous infection of bat individuals by multiple viral species) and spillover among the animals studied, which may in turn facilitate virus recombination and reassortment. Of note, we identify five viral species that are likely to be pathogenic to humans or livestock, based on phylogenetic relatedness to known pathogens or in vitro receptor binding assays. This includes a novel recombinant SARS-like coronavirus that is closely related to both SARS-CoV and SARS-CoV-2. In vitro assays indicate that this recombinant virus can utilize the human ACE2 receptor such that it is likely to be of increased emergence risk. Our study highlights the common occurrence of co-infection and spillover of bat viruses and their implications for virus emergence.
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Affiliation(s)
- Jing Wang
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Yuan-Fei Pan
- Ministry of Education Key Laboratory of Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Li-Fen Yang
- Department of Viral and Rickettsial Disease Control, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali, Yunnan, China
| | - Wei-Hong Yang
- Department of Viral and Rickettsial Disease Control, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali, Yunnan, China
| | - Kexin Lv
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Chu-Ming Luo
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Juan Wang
- Department of Viral and Rickettsial Disease Control, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali, Yunnan, China
| | - Guo-Peng Kuang
- Department of Viral and Rickettsial Disease Control, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali, Yunnan, China
| | - Wei-Chen Wu
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Qin-Yu Gou
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Gen-Yang Xin
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Bo Li
- Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Centre for Invasion Biology, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, China
| | - Huan-le Luo
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Shoudeng Chen
- Molecular Imaging Center, Central Laboratory, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, Guangdong, China
| | - Yue-Long Shu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
| | - Deyin Guo
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China
- Guangzhou National Laboratory, Guangzhou International Bio-Island, Guangzhou, Guangdong Province, China
| | - Zi-Hou Gao
- Department of Viral and Rickettsial Disease Control, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali, Yunnan, China
| | - Guodong Liang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Li
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China
| | - Yao-Qing Chen
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
| | - Edward C Holmes
- Sydney Institute for Infectious Diseases, School of Medical Sciences, The University of Sydney, Sydney, NSW, 2006, Australia.
| | - Yun Feng
- Department of Viral and Rickettsial Disease Control, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali, Yunnan, China.
| | - Mang Shi
- State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
- Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
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24
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Sinha A, Sangeet S, Roy S. Evolution of Sequence and Structure of SARS-CoV-2 Spike Protein: A Dynamic Perspective. ACS OMEGA 2023; 8:23283-23304. [PMID: 37426203 PMCID: PMC10324094 DOI: 10.1021/acsomega.3c00944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 06/01/2023] [Indexed: 07/11/2023]
Abstract
Novel coronavirus (SARS-CoV-2) enters its host cell through a surface spike protein. The viral spike protein has undergone several modifications/mutations at the genomic level, through which it modulated its structure-function and passed through several variants of concern. Recent advances in high-resolution structure determination and multiscale imaging techniques, cost-effective next-generation sequencing, and development of new computational methods (including information theory, statistical methods, machine learning, and many other artificial intelligence-based techniques) have hugely contributed to the characterization of sequence, structure, function of spike proteins, and its different variants to understand viral pathogenesis, evolutions, and transmission. Laying on the foundation of the sequence-structure-function paradigm, this review summarizes not only the important findings on structure/function but also the structural dynamics of different spike components, highlighting the effects of mutations on them. As dynamic fluctuations of three-dimensional spike structure often provide important clues for functional modulation, quantifying time-dependent fluctuations of mutational events over spike structure and its genetic/amino acidic sequence helps identify alarming functional transitions having implications for enhanced fusogenicity and pathogenicity of the virus. Although these dynamic events are more difficult to capture than quantifying a static, average property, this review encompasses those challenging aspects of characterizing the evolutionary dynamics of spike sequence and structure and their implications for functions.
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25
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Wu Z, Han Y, Wang Y, Liu B, Zhao L, Zhang J, Su H, Zhao W, Liu L, Bai S, Dong J, Sun L, Zhu Y, Zhou S, Song Y, Sui H, Yang J, Wang J, Zhang S, Qian Z, Jin Q. A comprehensive survey of bat sarbecoviruses across China in relation to the origins of SARS-CoV and SARS-CoV-2. Natl Sci Rev 2023; 10:nwac213. [PMID: 37425654 PMCID: PMC10325003 DOI: 10.1093/nsr/nwac213] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 09/08/2022] [Accepted: 09/13/2022] [Indexed: 09/10/2023] Open
Abstract
SARS-CoV and SARS-CoV-2 have been thought to originate from bats. In this study, we screened pharyngeal and anal swabs from 13 064 bats collected between 2016 and 2021 at 703 locations across China for sarbecoviruses, covering almost all known southern hotspots, and found 146 new bat sarbecoviruses. Phylogenetic analyses of all available sarbecoviruses show that there are three different lineages-L1 as SARS-CoV-related CoVs (SARSr-CoVs), L2 as SARS-CoV-2-related CoVs (SC2r-CoVs) and novel L-R (recombinants of L1 and L2)-present in Rhinolophus pusillus bats, in the mainland of China. Among the 146 sequences, only four are L-Rs. Importantly, none belong in the L2 lineage, indicating that circulation of SC2r-CoVs in China might be very limited. All remaining 142 sequences belong in the L1 lineage, of which YN2020B-G shares the highest overall sequence identity with SARS-CoV (95.8%). The observation suggests endemic circulations of SARSr-CoVs, but not SC2r-CoVs, in bats in China. Geographic analysis of the collection sites in this study, together with all published reports, indicates that SC2r-CoVs may be mainly present in bats of Southeast Asia, including the southern border of Yunnan province, but absent in all other regions within China. In contrast, SARSr-CoVs appear to have broader geographic distribution, with the highest genetic diversity and sequence identity to human sarbecoviruses along the southwest border of China. Our data provide the rationale for further extensive surveys in broader geographical regions within, and beyond, Southeast Asia in order to find the most recent ancestors of human sarbecoviruses.
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Affiliation(s)
- Zhiqiang Wu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Yelin Han
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Yuyang Wang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Bo Liu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Lamei Zhao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Junpeng Zhang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
| | - Haoxiang Su
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Wenliang Zhao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Liguo Liu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Shibin Bai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
| | - Jie Dong
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Lilian Sun
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Yafang Zhu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Siyu Zhou
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Yiping Song
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Hongtao Sui
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Jian Yang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Jianwei Wang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Shuyi Zhang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China
| | - Zhaohui Qian
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
| | - Qi Jin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 110730, China
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26
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Gazali FM, Wijayanti N, Hakim MS, Supriyati E, Arguni E, Daniwijaya MEW, Nuryastuti T, Nuhamunada M, Nabilla R, Haryana SM, Wibawa T. The high mutation rate at the D614G hotspot-furin cleavage site region increases the priming efficiency of the Spike protein by furin protease: analysis of Indonesian SARS-CoV-2 G614 variants obtained during the early COVID-19 pandemic. Virusdisease 2023:1-10. [PMID: 37363361 PMCID: PMC10231289 DOI: 10.1007/s13337-023-00827-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 05/08/2023] [Indexed: 06/28/2023] Open
Abstract
D614G mutation plays a significant role in the transmissibility of SARS-CoV-2. Identification of other mutations related to D614G mutation within the Spike protein is pivotal as they might contribute to the pathogenicity of SARS-CoV-2. This study aims to analyze the mutation rate of furin cleavage site (FCS) region of Indonesian origin SARS-CoV-2 and to predict the effect of mutation against Spike priming efficiency by furin. A total of 375 sequences of Indonesian isolates obtained during the early pandemic were used for mutation analysis. Mutation analysis includes mutation pattern, variability, frequency of mutation, amino acid conservation, and mutation rate. The effect of mutation against Spike priming efficiency by furin protease from eight sequences with mutation in the FCS region was analyzed by protein-protein docking. We showed that mutations related to the G614 variant were increasing through time, in contrast to the D614 variant. The FCS region at the position 675-692 contained the most variable (66.67%) as well as the highest mutation frequency (85.92%) and has been observed to be the hotspot mutations linked to the D614G mutation. The D614G hotspot-FCS region (residue 600-700) had the highest amino acid change per site (20.8%) as well as the highest mutation rate as 1.34 × 10-2 substitution per site per year (95% CI 1.79 × 10-3-2.74 × 10-2), compared with other Spike protein regions. Mutations in the FCS region were the most common mutation found after the D614G mutation. These mutations were predicted to increase the Spike priming efficiency by furin. Thus, this study elucidates the importance of D614G mutation to other mutations located in the FCS region and their significance to Spike priming efficiency by furin. Supplementary Information The online version contains supplementary material available at 10.1007/s13337-023-00827-w.
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Affiliation(s)
- Faris Muhammad Gazali
- Master Program in Biotechnology, Postgraduate School, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Nastiti Wijayanti
- Animal Physiology Laboratory, Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Mohamad Saifudin Hakim
- Department of Microbiology, Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Endah Supriyati
- Centre for Tropical Medicine, Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Eggi Arguni
- Department of Child Health, Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | | | - Titik Nuryastuti
- Department of Microbiology, Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Matin Nuhamunada
- Biotechnology Laboratory, Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Rahma Nabilla
- Graduate Program in Biology, Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Sofia Mubarika Haryana
- Department of Histology and Cell Biology, Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Tri Wibawa
- Department of Microbiology, Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
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Happi AN, Ayinla AO, Ogunsanya OA, Sijuwola AE, Saibu FM, Akano K, George UE, Sopeju AE, Rabinowitz PM, Ojo KK, Barrett LK, Van Voorhis WC, Happi CT. Detection of SARS-CoV-2 in Terrestrial Animals in Southern Nigeria: Potential Cases of Reverse Zoonosis. Viruses 2023; 15:1187. [PMID: 37243273 PMCID: PMC10222409 DOI: 10.3390/v15051187] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/13/2023] [Accepted: 05/15/2023] [Indexed: 05/28/2023] Open
Abstract
Since SARS-CoV-2 caused the COVID-19 pandemic, records have suggested the occurrence of reverse zoonosis of pets and farm animals in contact with SARS-CoV-2-positive humans in the Occident. However, there is little information on the spread of the virus among animals in contact with humans in Africa. Therefore, this study aimed to investigate the occurrence of SARS-CoV-2 in various animals in Nigeria. Overall, 791 animals from Ebonyi, Ogun, Ondo, and Oyo States, Nigeria were screened for SARS-CoV-2 using RT-qPCR (n = 364) and IgG ELISA (n = 654). SARS-CoV-2 positivity rates were 45.9% (RT-qPCR) and 1.4% (ELISA). SARS-CoV-2 RNA was detected in almost all animal taxa and sampling locations except Oyo State. SARS-CoV-2 IgGs were detected only in goats from Ebonyi and pigs from Ogun States. Overall, SARS-CoV-2 infectivity rates were higher in 2021 than in 2022. Our study highlights the ability of the virus to infect various animals. It presents the first report of natural SARS-CoV-2 infection in poultry, pigs, domestic ruminants, and lizards. The close human-animal interactions in these settings suggest ongoing reverse zoonosis, highlighting the role of behavioral factors of transmission and the potential for SARS-CoV-2 to spread among animals. These underscore the importance of continuous monitoring to detect and intervene in any eventual upsurge.
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Affiliation(s)
- Anise N. Happi
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer’s University, Ede 23210, Osun State, Nigeria; (A.O.A.); (O.A.O.); (A.E.S.); (F.M.S.); (K.A.); (U.E.G.); (A.E.S.); (C.T.H.)
| | - Akeemat O. Ayinla
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer’s University, Ede 23210, Osun State, Nigeria; (A.O.A.); (O.A.O.); (A.E.S.); (F.M.S.); (K.A.); (U.E.G.); (A.E.S.); (C.T.H.)
| | - Olusola A. Ogunsanya
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer’s University, Ede 23210, Osun State, Nigeria; (A.O.A.); (O.A.O.); (A.E.S.); (F.M.S.); (K.A.); (U.E.G.); (A.E.S.); (C.T.H.)
| | - Ayotunde E. Sijuwola
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer’s University, Ede 23210, Osun State, Nigeria; (A.O.A.); (O.A.O.); (A.E.S.); (F.M.S.); (K.A.); (U.E.G.); (A.E.S.); (C.T.H.)
| | - Femi M. Saibu
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer’s University, Ede 23210, Osun State, Nigeria; (A.O.A.); (O.A.O.); (A.E.S.); (F.M.S.); (K.A.); (U.E.G.); (A.E.S.); (C.T.H.)
| | - Kazeem Akano
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer’s University, Ede 23210, Osun State, Nigeria; (A.O.A.); (O.A.O.); (A.E.S.); (F.M.S.); (K.A.); (U.E.G.); (A.E.S.); (C.T.H.)
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede 23210, Osun State, Nigeria
| | - Uwem E. George
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer’s University, Ede 23210, Osun State, Nigeria; (A.O.A.); (O.A.O.); (A.E.S.); (F.M.S.); (K.A.); (U.E.G.); (A.E.S.); (C.T.H.)
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede 23210, Osun State, Nigeria
| | - Adebayo E. Sopeju
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer’s University, Ede 23210, Osun State, Nigeria; (A.O.A.); (O.A.O.); (A.E.S.); (F.M.S.); (K.A.); (U.E.G.); (A.E.S.); (C.T.H.)
| | - Peter M. Rabinowitz
- Center for One Health Research, Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98109, USA;
| | - Kayode K. Ojo
- Department of Medicine, Division of Allergy and Infectious Diseases, Center for Emerging and Re-Emerging Infectious Diseases (CERID), University of Washington School of Medicine, Seattle, WA 98109, USA; (K.K.O.); (L.K.B.); (W.C.V.V.)
| | - Lynn K. Barrett
- Department of Medicine, Division of Allergy and Infectious Diseases, Center for Emerging and Re-Emerging Infectious Diseases (CERID), University of Washington School of Medicine, Seattle, WA 98109, USA; (K.K.O.); (L.K.B.); (W.C.V.V.)
| | - Wesley C. Van Voorhis
- Department of Medicine, Division of Allergy and Infectious Diseases, Center for Emerging and Re-Emerging Infectious Diseases (CERID), University of Washington School of Medicine, Seattle, WA 98109, USA; (K.K.O.); (L.K.B.); (W.C.V.V.)
| | - Christian T. Happi
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer’s University, Ede 23210, Osun State, Nigeria; (A.O.A.); (O.A.O.); (A.E.S.); (F.M.S.); (K.A.); (U.E.G.); (A.E.S.); (C.T.H.)
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede 23210, Osun State, Nigeria
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28
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Esposito MM, Turku S, Lehrfield L, Shoman A. The Impact of Human Activities on Zoonotic Infection Transmissions. Animals (Basel) 2023; 13:ani13101646. [PMID: 37238075 DOI: 10.3390/ani13101646] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/04/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
As humans expand their territories across more and more regions of the planet, activities such as deforestation, urbanization, tourism, wildlife exploitation, and climate change can have drastic consequences for animal movements and animal-human interactions. These events, especially climate change, can also affect the arthropod vectors that are associated with the animals in these scenarios. As the COVID-19 pandemic and other various significant outbreaks throughout the centuries have demonstrated, when animal patterns and human interactions change, so does the exposure of humans to zoonotic pathogens potentially carried by wildlife. With approximately 60% of emerging human pathogens and around 75% of all emerging infectious diseases being categorized as zoonotic, it is of great importance to examine the impact of human activities on the prevalence and transmission of these infectious agents. A better understanding of the impact of human-related factors on zoonotic disease transmission and prevalence can help drive the preventative measures and containment policies necessary to improve public health.
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Affiliation(s)
- Michelle Marie Esposito
- Department of Biology, College of Staten Island, City University of New York, Staten Island, New York, NY 10314, USA
- Ph.D. Program in Biology, The Graduate Center, City University of New York, New York, NY 10314, USA
- Macaulay Honors College, City University of New York, New York, NY 10314, USA
| | - Sara Turku
- Department of Biology, College of Staten Island, City University of New York, Staten Island, New York, NY 10314, USA
- Macaulay Honors College, City University of New York, New York, NY 10314, USA
| | - Leora Lehrfield
- Department of Biology, College of Staten Island, City University of New York, Staten Island, New York, NY 10314, USA
- Macaulay Honors College, City University of New York, New York, NY 10314, USA
| | - Ayat Shoman
- Department of Biology, College of Staten Island, City University of New York, Staten Island, New York, NY 10314, USA
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29
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Devaux CA, Fantini J. Unravelling Antigenic Cross-Reactions toward the World of Coronaviruses: Extent of the Stability of Shared Epitopes and SARS-CoV-2 Anti-Spike Cross-Neutralizing Antibodies. Pathogens 2023; 12:713. [PMID: 37242383 PMCID: PMC10220573 DOI: 10.3390/pathogens12050713] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/10/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
The human immune repertoire retains the molecular memory of a very great diversity of target antigens (epitopes) and can recall this upon a second encounter with epitopes against which it has previously been primed. Although genetically diverse, proteins of coronaviruses exhibit sufficient conservation to lead to antigenic cross-reactions. In this review, our goal is to question whether pre-existing immunity against seasonal human coronaviruses (HCoVs) or exposure to animal CoVs has influenced the susceptibility of human populations to SARS-CoV-2 and/or had an impact upon the physiopathological outcome of COVID-19. With the hindsight that we now have regarding COVID-19, we conclude that although antigenic cross-reactions between different coronaviruses exist, cross-reactive antibody levels (titers) do not necessarily reflect on memory B cell frequencies and are not always directed against epitopes which confer cross-protection against SARS-CoV-2. Moreover, the immunological memory of these infections is short-term and occurs in only a small percentage of the population. Thus, in contrast to what might be observed in terms of cross-protection at the level of a single individual recently exposed to circulating coronaviruses, a pre-existing immunity against HCoVs or other CoVs can only have a very minor impact on SARS-CoV-2 circulation at the level of human populations.
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Affiliation(s)
- Christian A. Devaux
- Laboratory Microbes Evolution Phylogeny and Infection (MEPHI), Aix-Marseille Université, IRD, APHM Institut Hospitalo-Universitaire—Méditerranée Infection, 13005 Marseille, France
- Centre National de la Recherche Scientifique (CNRS-SNC5039), 13009 Marseille, France
| | - Jacques Fantini
- Aix-Marseille Université, INSERM UMR_S 1072, 13015 Marseille, France
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30
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Zhu W, Huang Y, Gong J, Dong L, Yu X, Chen H, Li D, Zhou L, Yang J, Lu S. A Novel Bat Coronavirus with a Polybasic Furin-like Cleavage Site. Virol Sin 2023:S1995-820X(23)00047-0. [PMID: 37141989 PMCID: PMC10151251 DOI: 10.1016/j.virs.2023.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 04/24/2023] [Indexed: 05/06/2023] Open
Abstract
The current pandemic of COVID-19 caused by a novel coronavirus, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), threatens human health around the world. Of particular concern is that bats are recognized as one of the most potential natural hosts of SARS-CoV-2; however, coronavirus ecology in bats is still nascent. Here, we performed a degenerate primer screening and next-generation sequencing analysis of 112 bats, collected from Hainan Province, China. Three coronaviruses, namely bat betacoronavirus (Bat CoV) CD35, Bat CoV CD36 and bat alphacoronavirus CD30 were identified. Bat CoV CD35 genome had 99.5% identity with Bat CoV CD36, both sharing the highest nucleotide identity with Bat Hp-betacoronavirus Zhejiang2013 (71.4%), followed by SARS-CoV-2 (54.0%). Phylogenetic analysis indicated that Bat CoV CD35 formed a distinct clade, and together with Bat Hp-betacoronavirus Zhejiang2013, was basal to the lineage of SARS-CoV-1 and SARS-CoV-2. Notably, Bat CoV CD35 harbored a canonical furin-like S1/S2 cleavage site that resembles the corresponding sites of SARS-CoV-2. The furin cleavage sites between CD35 and CD36 are identical. In addition, the receptor-binding domain of Bat CoV CD35 showed a highly similar structure to that of SARS-CoV-1 and SARS-CoV-2, especially in one binding loop. In conclusion, this study deepens our understanding of the diversity of coronaviruses and provides clues about the natural origin of the furin cleavage site of SARS-CoV-2.
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Affiliation(s)
- Wentao Zhu
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China
| | - Yuyuan Huang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Jian Gong
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Lingzhi Dong
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Xiaojie Yu
- Hainan Provincial Center for Disease Control and Prevention, Haikou 570203, China
| | - Haiyun Chen
- Hainan Provincial Center for Disease Control and Prevention, Haikou 570203, China
| | - Dandan Li
- Hainan Provincial Center for Disease Control and Prevention, Haikou 570203, China
| | - Libo Zhou
- Hainan Provincial Center for Disease Control and Prevention, Haikou 570203, China
| | - Jing Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, China.
| | - Shan Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Research Units of Discovery of Unknown Bacteria and Function, Chinese Academy of Medical Sciences, Beijing 100730, China.
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31
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Allen JD, Ivory DP, Song SG, He WT, Capozzola T, Yong P, Burton DR, Andrabi R, Crispin M. The diversity of the glycan shield of sarbecoviruses related to SARS-CoV-2. Cell Rep 2023; 42:112307. [PMID: 36972173 PMCID: PMC10015101 DOI: 10.1016/j.celrep.2023.112307] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/16/2023] [Accepted: 03/08/2023] [Indexed: 03/17/2023] Open
Abstract
Animal reservoirs of sarbecoviruses represent a significant risk of emergent pandemics, as evidenced by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Vaccines remain successful at limiting severe disease and death, but the potential for further coronavirus zoonosis motivates the search for pan-coronavirus vaccines. This necessitates a better understanding of the glycan shields of coronaviruses, which can occlude potential antibody epitopes on spike glycoproteins. Here, we compare the structure of 12 sarbecovirus glycan shields. Of the 22 N-linked glycan attachment sites present on SARS-CoV-2, 15 are shared by all 12 sarbecoviruses. However, there are significant differences in the processing state at glycan sites in the N-terminal domain, such as N165. Conversely, glycosylation sites in the S2 domain are highly conserved and contain a low abundance of oligomannose-type glycans, suggesting a low glycan shield density. The S2 domain may therefore provide a more attractive target for immunogen design efforts aiming to generate a pan-coronavirus antibody response.
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Affiliation(s)
- Joel D Allen
- School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK.
| | - Dylan P Ivory
- School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Sophie Ge Song
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 13 92037, USA; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA; Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Wan-Ting He
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 13 92037, USA; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA; Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Tazio Capozzola
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 13 92037, USA; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA; Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Peter Yong
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 13 92037, USA; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA; Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Dennis R Burton
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 13 92037, USA; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA; Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, MA 02139, USA
| | - Raiees Andrabi
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 13 92037, USA; IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA; Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Max Crispin
- School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK.
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32
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Cao Y, Chen L, Chen H, Cun Y, Dai X, Du H, Gao F, Guo F, Guo Y, Hao P, He S, He S, He X, Hu Z, Hoh BP, Jin X, Jiang Q, Jiang Q, Khan A, Kong HZ, Li J, Li SC, Li Y, Lin Q, Liu J, Liu Q, Lu J, Lu X, Luo S, Nie Q, Qiu Z, Shi T, Song X, Su J, Tao SC, Wang C, Wang CC, Wang GD, Wang J, Wu Q, Wu S, Xu S, Xue Y, Yang W, Yang Z, Ye K, Ye YN, Yu L, Zhao F, Zhao Y, Zhai W, Zhang D, Zhang L, Zheng H, Zhou Q, Zhu T, Zhang YP. Was Wuhan the early epicenter of the COVID-19 pandemic?-A critique. Natl Sci Rev 2023; 10:nwac287. [PMID: 37089192 PMCID: PMC10116607 DOI: 10.1093/nsr/nwac287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Yanan Cao
- Ruijin Hospital, Shanghai Jiao Tong University, China
| | - Lingling Chen
- College of Life Science and Technology, Guangxi University, China
| | - Hua Chen
- Beijing Institute of Genomics, Chinese Academy of Sciences, China
| | - Yupeng Cun
- Children's Hospital of Chongqing Medical University, China
| | - Xiaofeng Dai
- Wuxi School of Medicine, Jiangnan University, China
| | - Hongli Du
- School of Biology and Biological Engineering, South China University of Technology, China
| | - Feng Gao
- Department of Physics, School of Science, Tianjin University, China
| | - Fengbiao Guo
- School of Pharmaceutical Sciences, Wuhan University, China
| | - Yalong Guo
- Institute of Botany, Chinese Academy of Sciences, China
| | - Pei Hao
- Institut Pasteur of Shanghai, Chinese Academy of Sciences, China
| | - Shunmin He
- Institute of Biophysics, Chinese Academy of Sciences, China
| | - Shunping He
- Institute of Hydrobiology, Chinese Academy of Sciences, China
| | - XiongLei He
- School of Life Sciences, Sun Yat-sen University, China
| | - Zheng Hu
- Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
| | - Boon-Peng Hoh
- Faculty of Medicine and Health Sciences, University College Sedaya International, Malaysia
| | - Xin Jin
- School of Medicine, South China University of Technology, China
| | - Qian Jiang
- Department of Medical Genetics, Capital Institute of Pediatrics, China
| | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology, China
| | - Asifullah Khan
- Department of Biochemistry, Abdul Wali Khan University, Pakistan
| | - Hong-Zhi Kong
- Institute of Botany, Chinese Academy of Sciences, China
| | - Jinchen Li
- Xiangya Hospital, Central South University, China
| | - Shuai Cheng Li
- Department of Computer Science, City University of Hong Kong, China
| | - Ying Li
- College of Life Science and Technology, Foshan University, China
| | - Qiang Lin
- South China Sea Institute of Oceanology, Chinese Academy of Sciences, China
| | | | - Qi Liu
- School of Life Sciences and Technology, Tongji University, China
| | - Jian Lu
- School of Life Sciences, Peking University, China
| | - Xuemei Lu
- Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Shujin Luo
- School of Life Sciences, Peking University, China
| | - Qinghua Nie
- College of Animal Science, South China Agricultural University, China
| | - Zilong Qiu
- Institute of Neuroscience, Chinese Academy of Sciences, China
| | - Tieliu Shi
- School of Life Sciences, East China Normal University, China
| | - Xiaofeng Song
- Nanjing University of Aeronautics and Astronautics, China
| | - Jianzhong Su
- Wenzhou Institute, University of Chinese Academy of Sciences, China
| | - Sheng-ce Tao
- Institute of Systems Biomedicine, Shanghai Jiao Tong University, China
| | - Chaolong Wang
- Tongji Medical College, Huazhong University of Science and Technology, China
| | | | - Guo-Dong Wang
- Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Jiguang Wang
- Division of Life Science and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, China
| | - Qi Wu
- Institute of Microbiology, Chinese Academy of Sciences, China
| | - Shaoyuan Wu
- School of Life Sciences, Jiangsu Normal University, China
| | - Shuhua Xu
- School of Life Sciences, Fudan University, China
| | - Yu Xue
- College of Life Science and Technology, Huazhong University of Science and Technology, China
| | - Wenjun Yang
- International Center for Aging and Cancer, Hainan Medical University, China
| | - Zhaohui Yang
- Academy of Medical Science, Zhengzhou University, China
| | - Kai Ye
- Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, China
| | - Yuan-Nong Ye
- Bioinformatics and BioMedical Bigdata Mining Laboratory, School of Big Health, Guizhou Medical University, China
| | - Li Yu
- School of Life Sciences, Yunnan University, China
| | - Fangqing Zhao
- Beijing Institutes of Life Science, Chinese Academy of Sciences, China
| | - Yiqiang Zhao
- College of Biological Sciences, China Agricultural University, China
| | - Weiwei Zhai
- Institute of Zoology, Chinese Academy of Sciences, China
| | - Dandan Zhang
- Department of Pathology, and Department of Medical Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine, China
| | - Liye Zhang
- School of Life Science and Technology, ShanghaiTech University, China
| | | | - Qi Zhou
- Life Sciences Institute, Zhejiang University, China
| | - Tianqi Zhu
- Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China
| | - Ya-ping Zhang
- Kunming Institute of Zoology, Chinese Academy of Sciences, China
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33
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Gupta V, Acharya S, Keerti A. Common Coagulopathies Associated With COVID-19 Patients. Cureus 2023; 15:e38067. [PMID: 37234147 PMCID: PMC10208414 DOI: 10.7759/cureus.38067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/24/2023] [Indexed: 05/27/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) outbreak, which first appeared in the Chinese province of Hubei city of Wuhan, has been spreading internationally since December 2019. The World Health Organization (WHO) declared the coronavirus illness from 2019 to be a pandemic on March 11, 2020. Patients hospitalised with severe coronavirus or comorbid conditions (like cardiovascular disease and obesity) are linked to a worse prognosis. The rise in D-dimer and its relationship to prognosis are the most often documented aberrations in coagulation/fibrinolysis in COVID-19. However, the D-dimer assessment's utility is not limitless. Since the coagulation/fibrinolytic state might occasionally change over a short period of time, routine exams are also advantageous in understanding the relevance of the inquiry. Both thrombotic and hemorrhagic diseases should be taken into consideration, despite the fact that the pathophysiology of disseminated intravascular coagulation (DIC) linked with coronavirus disease 19 differs significantly from that of septic disseminated intravascular coagulation. Coagulation as well as fibrinolysis indicators are used to make the diagnosis of COVID-19 thrombosis, which encompasses both macro- and micro-thrombosis. Compared to bacterial-sepsis-associated coagulopathy/DIC, COVID-19 has a lower prevalence of prolonged prothrombin time, activated partial thromboplastin time, and decreased antithrombin activity. However, the causes of coagulopathy remain poorly understood. Hypoxia, endothelial injury, dysregulated immunological responses mediated by inflammatory cytokines, and lymphocyte cell death are thought to be implicated. While blood loss tends to be rare, it is uncertain if COVID-19 suffers from thrombosis or whether the current recommendations for regular venous thromboembolic dose are appropriate. It is important to decide on the COVID-19 therapy phases. Antiviral therapy, cytokine storm therapy, and thrombosis therapy are the steps. Future advancements are predicted, such as a therapy that combines heparin and nafamostat.
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Affiliation(s)
- Vinish Gupta
- Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND
| | - Sourya Acharya
- Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND
| | - Akshunna Keerti
- Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND
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34
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Latinne A, Nga NTT, Long NV, Ngoc PTB, Thuy HB, Long NV, Long PT, Phuong NT, Quang LTV, Tung N, Nam VS, Duoc VT, Thinh ND, Schoepp R, Ricks K, Inui K, Padungtod P, Johnson CK, Mazet JAK, Walzer C, Olson SH, Fine AE. One Health Surveillance Highlights Circulation of Viruses with Zoonotic Potential in Bats, Pigs, and Humans in Viet Nam. Viruses 2023; 15:v15030790. [PMID: 36992498 PMCID: PMC10053906 DOI: 10.3390/v15030790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 03/12/2023] [Accepted: 03/15/2023] [Indexed: 03/31/2023] Open
Abstract
A One Health cross-sectoral surveillance approach was implemented to screen biological samples from bats, pigs, and humans at high-risk interfaces for zoonotic viral spillover for five viral families with zoonotic potential in Viet Nam. Over 1600 animal and human samples from bat guano harvesting sites, natural bat roosts, and pig farming operations were tested for coronaviruses (CoVs), paramyxoviruses, influenza viruses, filoviruses and flaviviruses using consensus PCR assays. Human samples were also tested using immunoassays to detect antibodies against eight virus groups. Significant viral diversity, including CoVs closely related to ancestors of pig pathogens, was detected in bats roosting at the human-animal interfaces, illustrating the high risk for CoV spillover from bats to pigs in Viet Nam, where pig density is very high. Season and reproductive period were significantly associated with the detection of bat CoVs, with site-specific effects. Phylogeographic analysis indicated localized viral transmission among pig farms. Our limited human sampling did not detect any known zoonotic bat viruses in human communities living close to the bat cave and harvesting bat guano, but our serological assays showed possible previous exposure to Marburg virus-like (Filoviridae), Crimean-Congo hemorrhagic fever virus-like (Bunyaviridae) viruses and flaviviruses. Targeted and coordinated One Health surveillance helped uncover this viral pathogen emergence hotspot.
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Affiliation(s)
- Alice Latinne
- Wildlife Conservation Society, Viet Nam Country Program, Hanoi 11111, Viet Nam
- Wildlife Conservation Society, Health Program, Bronx, NY 10460, USA
| | | | - Nguyen Van Long
- Wildlife Conservation Society, Viet Nam Country Program, Hanoi 11111, Viet Nam
| | - Pham Thi Bich Ngoc
- Wildlife Conservation Society, Viet Nam Country Program, Hanoi 11111, Viet Nam
| | - Hoang Bich Thuy
- Wildlife Conservation Society, Viet Nam Country Program, Hanoi 11111, Viet Nam
| | - Nguyen Van Long
- Department of Animal Health, Ministry of Agricultural and Rural Development of Viet Nam, Hanoi 11519, Viet Nam
| | - Pham Thanh Long
- Department of Animal Health, Ministry of Agricultural and Rural Development of Viet Nam, Hanoi 11519, Viet Nam
| | | | - Le Tin Vinh Quang
- Regional Animal Health Office No. 6, Ho Chi Minh City 72106, Viet Nam
| | - Nguyen Tung
- Department of Animal Health, Ministry of Agricultural and Rural Development of Viet Nam, Hanoi 11519, Viet Nam
| | - Vu Sinh Nam
- National Institute of Hygiene and Epidemiology, Ministry of Health, Hanoi 11611, Viet Nam
| | - Vu Trong Duoc
- National Institute of Hygiene and Epidemiology, Ministry of Health, Hanoi 11611, Viet Nam
| | - Nguyen Duc Thinh
- National Institute of Hygiene and Epidemiology, Ministry of Health, Hanoi 11611, Viet Nam
| | - Randal Schoepp
- Diagnostic Systems Division, U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA
| | - Keersten Ricks
- Diagnostic Systems Division, U.S. Army Medical Research Institute of Infectious Diseases, Frederick, MD 21702, USA
| | - Ken Inui
- Food and Agriculture Organization of the United Nations (FAO), Country Office for Viet Nam, Hanoi 11112, Viet Nam
| | - Pawin Padungtod
- Food and Agriculture Organization of the United Nations (FAO), Country Office for Viet Nam, Hanoi 11112, Viet Nam
| | - Christine K Johnson
- One Health Institute, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Jonna A K Mazet
- One Health Institute, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Chris Walzer
- Wildlife Conservation Society, Health Program, Bronx, NY 10460, USA
- Research Institute of Wildlife Ecology, University of Veterinary Medicine Vienna, 1210 Vienna, Austria
| | - Sarah H Olson
- Wildlife Conservation Society, Health Program, Bronx, NY 10460, USA
| | - Amanda E Fine
- Wildlife Conservation Society, Viet Nam Country Program, Hanoi 11111, Viet Nam
- Wildlife Conservation Society, Health Program, Bronx, NY 10460, USA
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A SARS-CoV-2-Related Virus from Malayan Pangolin Causes Lung Infection without Severe Disease in Human ACE2-Transgenic Mice. J Virol 2023; 97:e0171922. [PMID: 36688655 PMCID: PMC9972989 DOI: 10.1128/jvi.01719-22] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19), which is caused by the novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is the most severe emerging infectious disease in the current century. The discovery of SARS-CoV-2-related coronaviruses (SARSr-CoV-2) in bats and pangolins in South Asian countries indicates that SARS-CoV-2 likely originated from wildlife. To date, two SARSr-CoV-2 strains have been isolated from pangolins seized in Guangxi and Guangdong by the customs agency of China, respectively. However, it remains unclear whether these viruses cause disease in animal models and whether they pose a transmission risk to humans. In this study, we investigated the biological features of a SARSr-CoV-2 strain isolated from a smuggled Malayan pangolin (Manis javanica) captured by the Guangxi customs agency, termed MpCoV-GX, in terms of receptor usage, cell tropism, and pathogenicity in wild-type BALB/c mice, human angiotensin-converting enzyme 2 (ACE2)-transgenic mice, and human ACE2 knock-in mice. We found that MpCoV-GX can utilize ACE2 from humans, pangolins, civets, bats, pigs, and mice for cell entry and infect cell lines derived from humans, monkeys, bats, minks, and pigs. The virus could infect three mouse models but showed limited pathogenicity, with mild peribronchial and perivascular inflammatory cell infiltration observed in lungs. Our results suggest that this SARSr-CoV-2 virus from pangolins has the potential for interspecies infection, but its pathogenicity is mild in mice. Future surveillance among these wildlife hosts of SARSr-CoV-2 is needed to monitor variants that may have higher pathogenicity and higher spillover risk. IMPORTANCE SARS-CoV-2, which likely spilled over from wildlife, is the third highly pathogenic human coronavirus. Being highly transmissible, it is perpetuating a pandemic and continuously posing a severe threat to global public health. Several SARS-CoV-2-related coronaviruses (SARSr-CoV-2) in bats and pangolins have been identified since the SARS-CoV-2 outbreak. It is therefore important to assess their potential of crossing species barriers for better understanding of their risk of future emergence. In this work, we investigated the biological features and pathogenicity of a SARSr-CoV-2 strain isolated from a smuggled Malayan pangolin, named MpCoV-GX. We found that MpCoV-GX can utilize ACE2 from 7 species for cell entry and infect cell lines derived from a variety of mammalian species. MpCoV-GX can infect mice expressing human ACE2 without causing severe disease. These findings suggest the potential of cross-species transmission of MpCoV-GX, and highlight the need of further surveillance of SARSr-CoV-2 in pangolins and other potential animal hosts.
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Kim MI, Lee C. Human Coronavirus OC43 as a Low-Risk Model to Study COVID-19. Viruses 2023; 15:v15020578. [PMID: 36851792 PMCID: PMC9965565 DOI: 10.3390/v15020578] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/08/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has had irreversible and devastating impacts on every aspect of human life. To better prepare for the next similar pandemic, a clear understanding of coronavirus biology is a prerequisite. Nevertheless, the high-risk nature of the causative agent of COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), requires the use of a cumbersome biosafety level-3 (BSL-3) confinement facility. To facilitate the development of preventive and therapeutic measures against SARS-CoV-2, one of the endemic strains of low-risk coronaviruses has gained attention as a useful research alternative: human coronavirus OC43 (HCoV-OC43). In this review, its history, classification, and clinical manifestations are first summarized. The characteristics of its viral genomes, genes, and evolution process are then further explained. In addition, the host factors necessary to support the life cycle of HCoV-OC43 and the innate, as well as adaptive, immunological responses to HCoV-OC43 infection are discussed. Finally, the development of in vitro and in vivo systems to study HCoV-OC43 and its application to the discovery of potential antivirals for COVID-19 by using HCoV-OC43 models are also presented. This review should serve as a concise guide for those who wish to use HCoV-OC43 to study coronaviruses in a low-risk research setting.
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Ashraf H, Dilshad E, Afsar T, Almajwal A, Shafique H, Razak S. Molecular Screening of Bioactive Compounds of Garlic for Therapeutic Effects against COVID-19. Biomedicines 2023; 11:biomedicines11020643. [PMID: 36831179 PMCID: PMC9953069 DOI: 10.3390/biomedicines11020643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/13/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
An outbreak of pneumonia occurred on December 2019 in Wuhan, China, which caused a serious public health emergency by spreading around the globe. Globally, natural products are being focused on more than synthetic ones. So, keeping that in view, the current study was conducted to discover potential antiviral compounds from Allium sativum. Twenty-five phytocompounds of this plant were selected from the literature and databases including 3-(Allylsulphinyl)-L-alanine, Allicin, Diallyl sulfide, Diallyl disulfide, Diallyl trisulfide, Glutathione, L-Cysteine, S-allyl-mercapto-glutathione, Quercetin, Myricetin, Thiocysteine, Gamma-glutamyl-Lcysteine, Gamma-glutamylallyl-cysteine, Fructan, Lauricacid, Linoleicacid, Allixin, Ajoene, Diazinon Kaempferol, Levamisole, Caffeicacid, Ethyl linoleate, Scutellarein, and S-allylcysteine methyl-ester. Virtual screening of these selected ligands was carried out against drug target 3CL protease by CB-dock. Pharmacokinetic and pharmacodynamic properties defined the final destiny of compounds as drug or non-drug molecules. The best five compounds screened were Allicin, Diallyl Sulfide, Diallyl Disulfide, Diallyl Trisulfide, Ajoene, and Levamisole, which showed themselves as hit compounds. Further refining by screening filters represented Levamisole as a lead compound. All the interaction visualization analysis studies were performed using the PyMol molecular visualization tool and LigPlot+. Conclusively, Levamisole was screened as a likely antiviral compound which might be a drug candidate to treat SARS-CoV-2 in the future. Nevertheless, further research needs to be carried out to study their potential medicinal use.
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Affiliation(s)
- Huma Ashraf
- Department of Bioinformatics and Biosciences, Faculty of Health and Life Sciences, Capital University of Science and Technology (CUST), Islamabad 44000, Pakistan
| | - Erum Dilshad
- Department of Bioinformatics and Biosciences, Faculty of Health and Life Sciences, Capital University of Science and Technology (CUST), Islamabad 44000, Pakistan
- Correspondence: (E.D.); (S.R.)
| | - Tayyaba Afsar
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
| | - Ali Almajwal
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
| | - Huma Shafique
- Institute of Cellular Medicine, Newcastle University Medical School, Newcastle University, Newcastle NE1 7RU, UK
| | - Suhail Razak
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
- Correspondence: (E.D.); (S.R.)
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38
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Kane Y, Wong G, Gao GF. Animal Models, Zoonotic Reservoirs, and Cross-Species Transmission of Emerging Human-Infecting Coronaviruses. Annu Rev Anim Biosci 2023; 11:1-31. [PMID: 36790890 DOI: 10.1146/annurev-animal-020420-025011] [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: 02/16/2023]
Abstract
Over the past three decades, coronavirus (CoV) diseases have impacted humans more than any other emerging infectious disease. The recent emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19 (coronavirus disease 2019), has resulted in huge economic disruptions and loss of human lives. The SARS-CoV-2 genome was found to mutate more rapidly due to sustained transmission in humans and potentially animals, resulting in variants of concern (VOCs) that threaten global human health. However, the primary difficulties are filling in the current knowledge gaps in terms of the origin and modalities of emergence for these viruses. Because many CoVs threatening human health are suspected to have a zoonotic origin, identifying the animal hosts implicated in the spillover or spillback events would be beneficial for current pandemic management and to prevent future outbreaks. In this review, wesummarize the animal models, zoonotic reservoirs, and cross-species transmission of the emerging human CoVs. Finally, we comment on potential sources of SARS-CoV-2 Omicron VOCs and the new SARS-CoV-2 recombinants currently under investigation.
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Affiliation(s)
- Yakhouba Kane
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China; , .,University of Chinese Academy of Sciences, Beijing, China
| | - Gary Wong
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China; ,
| | - George F Gao
- University of Chinese Academy of Sciences, Beijing, China.,CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; .,Chinese Center for Disease Control and Prevention, Beijing, China
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Hu Y, Liu K, Han P, Xu Z, Zheng A, Pan X, Jia Y, Su C, Tang L, Wu L, Bai B, Zhao X, Tian D, Chen Z, Qi J, Wang Q, Gao GF. Host range and structural analysis of bat-origin RshSTT182/200 coronavirus binding to human ACE2 and its animal orthologs. EMBO J 2023; 42:e111737. [PMID: 36519268 PMCID: PMC9877840 DOI: 10.15252/embj.2022111737] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 11/07/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022] Open
Abstract
Bat-origin RshSTT182 and RshSTT200 coronaviruses (CoV) from Rhinolophus shameli in Southeast Asia (Cambodia) share 92.6% whole-genome identity with SARS-CoV-2 and show identical receptor-binding domains (RBDs). In this study, we determined the structure of the RshSTT182/200 receptor binding domain (RBD) in complex with human angiotensin-converting enzyme 2 (hACE2) and identified the key residues that influence receptor binding. The binding of the RshSTT182/200 RBD to ACE2 orthologs from 39 animal species, including 18 bat species, was used to evaluate its host range. The RshSTT182/200 RBD broadly recognized 21 of 39 ACE2 orthologs, although its binding affinities for the orthologs were weaker than those of the RBD of SARS-CoV-2. Furthermore, RshSTT182 pseudovirus could utilize human, fox, and Rhinolophus affinis ACE2 receptors for cell entry. Moreover, we found that SARS-CoV-2 induces cross-neutralizing antibodies against RshSTT182 pseudovirus. Taken together, these findings indicate that RshSTT182/200 can potentially infect susceptible animals, but requires further evolution to obtain strong interspecies transmission abilities like SARS-CoV-2.
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Affiliation(s)
- Yu Hu
- School of Life Sciences, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Zepeng Xu
- Faculty of Health SciencesUniversity of MacauMacau SARChina
| | - Anqi Zheng
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Xiaoqian Pan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Yunfei Jia
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- College of Veterinary MedicineShanxi Agricultural UniversityJinzhongChina
| | - Chao Su
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- Department of Biomedical SciencesCity University of Hong KongHong Kong SARChina
| | - Lingfeng Tang
- Faculty of Health SciencesUniversity of MacauMacau SARChina
| | - Lili Wu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Bin Bai
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Xin Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Di Tian
- Center of Infectious Disease, Beijing Ditan HospitalCapital Medical UniversityBeijingChina
| | - Zhihai Chen
- Center of Infectious Disease, Beijing Ditan HospitalCapital Medical UniversityBeijingChina
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Qihui Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - George F Gao
- School of Life Sciences, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
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40
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Genomic Analysis of the Suspicious SARS-CoV-2 Sequences in the Public Sequencing Database. Microbiol Spectr 2023; 11:e0342622. [PMID: 36622170 PMCID: PMC9927258 DOI: 10.1128/spectrum.03426-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
SARS-CoV-2 has infected more than 600 million people. However, the origin of the virus is still unclear; knowing where the virus came from could help us prevent future zoonotic epidemics. Sequencing data, particularly metagenomic data, can profile the genomes of all species in the sample, including those not recognized at the time, thus allowing for the identification of the progenitor of SARS-CoV-2 in samples collected before the pandemic. We analyzed the data from 5,196 SARS-CoV-2-positive sequencing runs in the NCBI's SRA database with collection dates prior to 2020 or unknown. We found that the mutation patterns obtained from these suspicious SARS-CoV-2 reads did not match the genome characteristics of an unknown progenitor of the virus, suggesting that they may derive from circulating SARS-CoV-2 variants or other coronaviruses. Despite a negative result for tracking the progenitor of SARS-CoV-2, the methods developed in the study could assist in pinpointing the origin of various pathogens in the future. IMPORTANCE Sequences that are homologous to the SARS-CoV-2 genome were found in numerous sequencing runs that were not associated with the SARS-CoV-2 studies in the public database. It is unclear whether they are derived from the possible progenitor of SARS-CoV-2 or contamination of more recent SARS-CoV-2 variants circulated in the population due to the lack of information on the collection, library preparation, and sequencing processes. We have developed a computational framework to infer the evolutionary relationship between sequences based on the comparison of mutations, which enabled us to rule out the possibility that these suspicious sequences originate from unknown progenitors of SARS-CoV-2.
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41
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Dwyer DE. The Origins of Severe Acute Respiratory Syndrome-Coronavirus-2. Semin Respir Crit Care Med 2023; 44:3-7. [PMID: 36646081 DOI: 10.1055/s-0042-1759564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
An outbreak of severe pneumonia of unknown cause was identified in Wuhan, China in December 2019: the causative agent was a novel betacoronavirus, severe acute respiratory syndrome-cotonavirus-2 (SARS-CoV-2), a virus that joins a list of coronaviruses causing severe (e.g., SARS and Middle East respiratory syndrome) or milder (e.g., 229E, OC43, NL63, and HKU1) respiratory tract infection. The World Health Organization (WHO) classified the spreading outbreak as a pandemic on March 11, 2020. Many SARS-related coronaviruses (SARSr-CoVs) have been identified in bats, particularly in Rhinolophus horseshoe bats, animals that are common in southern China and Southeast Asia. Many of the features of SARS-CoV-2 that facilitate human infection-the furin cleavage site, the receptor binding domain that binds to the human ACE2 receptor-can be identified in SARSr-CoVs. Related coronaviruses can be detected in pangolins and other animals, and human SARS-CoV-2 itself can infect various animals, some of which can transmit SARS-CoV-2 back to humans. Investigation by the WHO and others pointed to the initial outbreak being centered on the Huanan wet market in Wuhan where wild and farmed animals were sold, and where environmental testing revealed widespread SARS-CoV-2 contamination. This supports the hypothesis that bats, probably via an intermediate animal, are the origin of SARS-CoV-2. Other possible origins have been postulated, such as an accidental or deliberate laboratory leak, or virus present in frozen foods, but evidence for these ideas has not surfaced. Study of the origins of SARS-CoV-2 have been complicated by intense media and political commentary, features that may slow the studies required to understand the viral origins. Such studies are complex and may be slow: international openness and co-operation is vital. Origins explanations are needed to predict or prevent future pandemics and support the "One Health" approach to disease.
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Affiliation(s)
- Dominic E Dwyer
- Public Health Pathology, New South Wales Health Pathology, Institute of Clinical Pathology and Medical Research, Westmead Hospital, Westmead, New South Wales, Australia
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42
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Porter AF, Purcell DFJ, Howden BP, Duchene S. Evolutionary rate of SARS-CoV-2 increases during zoonotic infection of farmed mink. Virus Evol 2023; 9:vead002. [PMID: 36751428 PMCID: PMC9896948 DOI: 10.1093/ve/vead002] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 10/11/2022] [Accepted: 01/08/2023] [Indexed: 01/12/2023] Open
Abstract
To investigate genetic signatures of adaptation to the mink host, we characterised the evolutionary rate heterogeneity in mink-associated severe acute respiratory syndrome coronaviruses (SARS-CoV-2). In 2020, the first detected anthropozoonotic spillover event of SARS-CoV-2 occurred in mink farms throughout Europe and North America. Both spill-back of mink-associated lineages into the human population and the spread into the surrounding wildlife were reported, highlighting the potential formation of a zoonotic reservoir. Our findings suggest that the evolutionary rate of SARS-CoV-2 underwent an episodic increase upon introduction into the mink host before returning to the normal range observed in humans. Furthermore, SARS-CoV-2 lineages could have circulated in the mink population for a month before detection, and during this period, evolutionary rate estimates were between 3 × 10-3 and 1.05 × 10-2 (95 per cent HPD, with a mean rate of 6.59 × 10-3) a four- to thirteen-fold increase compared to that in humans. As there is evidence for unique mutational patterns within mink-associated lineages, we explored the emergence of four mink-specific Spike protein amino acid substitutions Y453F, S1147L, F486L, and Q314K. We found that mutation Y453F emerged early in multiple mink outbreaks and that mutations F486L and Q314K may co-occur. We suggest that SARS-CoV-2 undergoes a brief, but considerable, increase in evolutionary rate in response to greater selective pressures during species jumps, which may lead to the occurrence of mink-specific mutations. These findings emphasise the necessity of ongoing surveillance of zoonotic SARS-CoV-2 infections in the future.
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Affiliation(s)
| | | | | | - Sebastian Duchene
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Parkville, VIC 3010, Australia
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43
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Lamkiewicz K, Esquivel Gomez LR, Kühnert D, Marz M. Genome Structure, Life Cycle, and Taxonomy of Coronaviruses and the Evolution of SARS-CoV-2. Curr Top Microbiol Immunol 2023; 439:305-339. [PMID: 36592250 DOI: 10.1007/978-3-031-15640-3_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Coronaviruses have a broad host range and exhibit high zoonotic potential. In this chapter, we describe their genomic organization in terms of encoded proteins and provide an introduction to the peculiar discontinuous transcription mechanism. Further, we present evolutionary conserved genomic RNA secondary structure features, which are involved in the complex replication mechanism. With a focus on computational methods, we review the emergence of SARS-CoV-2 starting with the 2019 strains. In that context, we also discuss the debated hypothesis of whether SARS-CoV-2 was created in a laboratory. We focus on the molecular evolution and the epidemiological dynamics of this recently emerged pathogen and we explain how variants of concern are detected and characterised. COVID-19, the disease caused by SARS-CoV-2, can spread through different transmission routes and also depends on a number of risk factors. We describe how current computational models of viral epidemiology, or more specifically, phylodynamics, have facilitated and will continue to enable a better understanding of the epidemic dynamics of SARS-CoV-2.
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Affiliation(s)
- Kevin Lamkiewicz
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, Leutragraben 1, 07743, Jena, Germany
- European Virus Bioinformatics Center, Leutragraben 1, 07743, Jena, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr. 4, 04103, Leipzig, Germany
| | - Luis Roger Esquivel Gomez
- Transmission, Infection, Diversification and Evolution Group, Max Planck Institute for the Science of Human History, Kahlaische Straße 10, 07745, Jena, Germany
| | - Denise Kühnert
- Transmission, Infection, Diversification and Evolution Group, Max Planck Institute for the Science of Human History, Kahlaische Straße 10, 07745, Jena, Germany
- European Virus Bioinformatics Center, Leutragraben 1, 07743, Jena, Germany
| | - Manja Marz
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, Leutragraben 1, 07743, Jena, Germany.
- European Virus Bioinformatics Center, Leutragraben 1, 07743, Jena, Germany.
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstr. 4, 04103, Leipzig, Germany.
- FLI Leibniz Institute for Age Research, Beutenbergstraße 11, 07745, Jena, Germany.
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Qiu X, Liu Y, Sha A. SARS-CoV-2 and natural infection in animals. J Med Virol 2023; 95:e28147. [PMID: 36121159 PMCID: PMC9538246 DOI: 10.1002/jmv.28147] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/02/2022] [Accepted: 09/12/2022] [Indexed: 01/11/2023]
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the causative agent of the novel coronavirus disease (COVID-19) pandemic, which has caused serious challenges for public health systems worldwide. Due to the close relationship between animals and humans, confirmed transmission from humans to numerous animal species has been reported. Understanding the cross-species transmission of SARS-CoV-2 and the infection and transmission dynamics of SARS-CoV-2 in different animals is crucial to control COVID-19 and protect animal health. In this review, the possible animal origins of SARS-CoV-2 and animal species naturally susceptible to SARS-CoV-2 infection are discussed. Furthermore, this review categorizes the SARS-CoV-2 susceptible animals by families, so as to better understand the relationship between SARS-CoV-2 and animals.
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Affiliation(s)
- Xinyu Qiu
- School of Biology and Food EngineeringChongqing Three Gorges UniversityChongqingChina
| | - Yi Liu
- School of Biology and Food EngineeringChongqing Three Gorges UniversityChongqingChina
| | - Ailong Sha
- School of Teacher EducationChongqing Three Gorges UniversityChongqingChina
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45
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Guo C, Tsai SJ, Ai Y, Li M, Anaya E, Pekosz A, Cox A, Gould SJ. The D614G mutation redirects SARS-CoV-2 spike to lysosomes and suppresses deleterious traits of the furin cleavage site insertion mutation. SCIENCE ADVANCES 2022; 8:eade5085. [PMID: 36563151 PMCID: PMC9788772 DOI: 10.1126/sciadv.ade5085] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 11/21/2022] [Indexed: 06/16/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) egress occurs by lysosomal exocytosis. We show that the Spike D614G mutation enhances Spike trafficking to lysosomes, drives Spike-mediated reprogramming of lysosomes, and reduces cell surface Spike expression by ~3-fold. D614G is not a human-specific adaptation. Rather, it is an adaptation to the earlier furin cleavage site insertion (FCSI) mutation that occurred at the genesis of SARS-CoV-2. While advantageous to the virus, furin cleavage of spike has deleterious effects on spike structure and function, inhibiting its trafficking to lysosomes and impairing its infectivity by the transmembrane serine protease 2(TMPRSS2)-independent, endolysosomal pathway. D614G restores spike trafficking to lysosomes and enhances the earliest events in SARS-CoV-2 infectivity, while spike mutations that restore SARS-CoV-2's TMPRSS2-independent infectivity restore spike's trafficking to lysosomes. Together, these and other results show that D614G is an intragenic suppressor of deleterious traits linked to the FCSI and lend additional support to the endolysosomal model of SARS-CoV-2 egress and entry.
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Affiliation(s)
- Chenxu Guo
- Department of Biological Chemistry, Johns Hopkins University, School of Medicine, 725 North Wolfe Street, Baltimore, MD, 21205, USA
| | - Shang-Jui Tsai
- Department of Biological Chemistry, Johns Hopkins University, School of Medicine, 725 North Wolfe Street, Baltimore, MD, 21205, USA
| | - Yiwei Ai
- Department of Biological Chemistry, Johns Hopkins University, School of Medicine, 725 North Wolfe Street, Baltimore, MD, 21205, USA
| | - Maggie Li
- Department of Microbiology and Immunology, Johns Hopkins University, School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205, USA
| | - Eduardo Anaya
- Department of Microbiology and Immunology, Johns Hopkins University, School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205, USA
| | - Andrew Pekosz
- Department of Microbiology and Immunology, Johns Hopkins University, School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205, USA
| | - Andrea Cox
- Department of Medicine, Department of Microbiology and Immunology, Johns Hopkins University, School of Medicine, 725 North Wolfe Street, Baltimore, MD, 21205, USA
| | - Stephen J. Gould
- Department of Biological Chemistry, Johns Hopkins University, School of Medicine, 725 North Wolfe Street, Baltimore, MD, 21205, USA
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Perico CP, De Pierri CR, Neto GP, Fernandes DR, Pedrosa FO, de Souza EM, Raittz RT. Genomic landscape of the SARS-CoV-2 pandemic in Brazil suggests an external P.1 variant origin. Front Microbiol 2022; 13:1037455. [PMID: 36620039 PMCID: PMC9814972 DOI: 10.3389/fmicb.2022.1037455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 12/01/2022] [Indexed: 12/24/2022] Open
Abstract
Brazil was the epicenter of worldwide pandemics at the peak of its second wave. The genomic/proteomic perspective of the COVID-19 pandemic in Brazil could provide insights to understand the global pandemics behavior. In this study, we track SARS-CoV-2 molecular information in Brazil using real-time bioinformatics and data science strategies to provide a comparative and evolutive panorama of the lineages in the country. SWeeP vectors represented the Brazilian and worldwide genomic/proteomic data from Global Initiative on Sharing Avian Influenza Data (GISAID) between February 2020 and August 2021. Clusters were analyzed and compared with PANGO lineages. Hierarchical clustering provided phylogenetic and evolutionary analyses of the lineages, and we tracked the P.1 (Gamma) variant origin. The genomic diversity based on Chao's estimation allowed us to compare richness and coverage among Brazilian states and other representative countries. We found that epidemics in Brazil occurred in two moments with different genetic profiles. The P.1 lineages emerged in the second wave, which was more aggressive. We could not trace the origin of P.1 from the variants present in Brazil. Instead, we found evidence pointing to its external source and a possible recombinant event that may relate P.1 to a B.1.1.28 variant subset. We discussed the potential application of the pipeline for emerging variants detection and the PANGO terminology stability over time. The diversity analysis showed that the low coverage and unbalanced sequencing among states in Brazil could have allowed the silent entry and dissemination of P.1 and other dangerous variants. This study may help to understand the development and consequences of variants of concern (VOC) entry.
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Affiliation(s)
- Camila P Perico
- Laboratory of Artificial Intelligence Applied to Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil
- Graduate Program in Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil
| | - Camilla R De Pierri
- Laboratory of Artificial Intelligence Applied to Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil
- Department of Biochemistry and Molecular Biology, Federal University of Paraná, Curitiba, Brazil
| | - Giuseppe Pasqualato Neto
- Laboratory of Artificial Intelligence Applied to Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil
| | - Danrley R Fernandes
- Laboratory of Artificial Intelligence Applied to Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil
- Graduate Program in Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil
| | - Fabio O Pedrosa
- Graduate Program in Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil
- Department of Biochemistry and Molecular Biology, Federal University of Paraná, Curitiba, Brazil
| | - Emanuel M de Souza
- Graduate Program in Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil
- Department of Biochemistry and Molecular Biology, Federal University of Paraná, Curitiba, Brazil
| | - Roberto T Raittz
- Laboratory of Artificial Intelligence Applied to Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil
- Graduate Program in Bioinformatics, Professional and Technological Education Sector (SEPT), Federal University of Paraná, Curitiba, Brazil
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Chechetkin VR, Lobzin VV. Evolving ribonucleocapsid assembly/packaging signals in the genomes of the human and animal coronaviruses: targeting, transmission and evolution. J Biomol Struct Dyn 2022; 40:11239-11263. [PMID: 34338591 DOI: 10.1080/07391102.2021.1958061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
A world-wide COVID-19 pandemic intensified strongly the studies of molecular mechanisms related to the coronaviruses. The origin of coronaviruses and the risks of human-to-human, animal-to-human and human-to-animal transmission of coronaviral infections can be understood only on a broader evolutionary level by detailed comparative studies. In this paper, we studied ribonucleocapsid assembly-packaging signals (RNAPS) in the genomes of all seven known pathogenic human coronaviruses, SARS-CoV, SARS-CoV-2, MERS-CoV, HCoV-OC43, HCoV-HKU1, HCoV-229E and HCoV-NL63 and compared them with RNAPS in the genomes of the related animal coronaviruses including SARS-Bat-CoV, MERS-Camel-CoV, MHV, Bat-CoV MOP1, TGEV and one of camel alphacoronaviruses. RNAPS in the genomes of coronaviruses were evolved due to weakly specific interactions between genomic RNA and N proteins in helical nucleocapsids. Combining transitional genome mapping and Jaccard correlation coefficients allows us to perform the analysis directly in terms of underlying motifs distributed over the genome. In all coronaviruses, RNAPS were distributed quasi-periodically over the genome with the period about 54 nt biased to 57 nt and to 51 nt for the genomes longer and shorter than that of SARS-CoV, respectively. The comparison with the experimentally verified packaging signals for MERS-CoV, MHV and TGEV proved that the distribution of particular motifs is strongly correlated with the packaging signals. We also found that many motifs were highly conserved in both characters and positioning on the genomes throughout the lineages that make them promising therapeutic targets. The mechanisms of encapsidation can affect the recombination and co-infection as well.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Vladimir R Chechetkin
- Engelhardt Institute of Molecular Biology of Russian Academy of Sciences, Moscow, Russia
| | - Vasily V Lobzin
- School of Physics, University of Sydney, Sydney, NSW, Australia
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Abstract
Hundreds of sarbecoviruses have been found in bats, but only a fraction of them have the ability to infect cells using angiotensin-converting enzyme 2 (ACE2), the receptor for SARS-CoV and -2. To date, only ACE2-dependent sarbecoviruses have been isolated from field samples or grown in the laboratory. ACE2-independent sarbecoviruses, comprising the majority of the subgenus, have not been propagated in any type of cell culture, as the factors and conditions needed for their replication are completely unknown. Given the significant zoonotic threat posed by sarbecoviruses, cell culture models and in vitro tools are urgently needed to study the rest of this subgenus. We previously showed that the exogenous protease trypsin could facilitate cell entry of viral-like particles pseudotyped with spike protein from some of the ACE2-independent sarbecoviruses. Here, we tested if these conditions were sufficient to support bona fide viral replication using recombinant bat sarbecoviruses. In the presence of trypsin, some of the spike proteins from clade 2 viruses were capable of supporting bat sarbecovirus infection and replication in human and bat cells. Protease experiments showed a specific viral dependence on high levels of trypsin, as TMPRSS2 and furin had no effect on clade 2 virus entry. These results shed light on how sarbecoviruses transmit and coexist in their natural hosts, provide key insights for future efforts to isolate and grow these viruses from field samples, and further underscore the need for broadly protective, universal coronavirus vaccines. IMPORTANCE Our studies demonstrate that some unexplored sarbecoviruses are capable of replicating in human and bat cells in an ACE2-independent way but need a high trypsin environment. We found that trypsin is not compensated by other known proteases involved in some coronavirus entry. This work provides important information that the trypsin-dependent entry may be a widely employed mechanism for coronaviruses and will help for further understanding the biological features of the less-studied viruses.
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Cross-reaction of current available SARS-CoV-2 MAbs against the pangolin-origin coronavirus GX/P2V/2017. Cell Rep 2022; 41:111831. [PMID: 36493785 PMCID: PMC9705200 DOI: 10.1016/j.celrep.2022.111831] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 10/27/2022] [Accepted: 11/22/2022] [Indexed: 11/30/2022] Open
Abstract
Since the identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiological agent of COVID-19, multiple SARS-CoV-2-related viruses have been characterized, including pangolin-origin GD/1/2019 and GX/P2V/2017. Our previous study indicated that both viruses have the potential to infect humans. Here, we find that CB6 (commercial name etesevimab), a COVID-19 therapeutic monoclonal antibody (MAb) developed by our group, efficiently inhibits GD/1/2019 but not GX/P2V/2017. A total of 50 SARS-CoV-2 MAbs divided into seven groups based on their receptor-binding domain (RBD) epitopes, together with the COVID-19 convalescent sera, are systematically screened for their cross-binding and cross-neutralizing properties against GX/P2V/2017. We find that GX/P2V/2017 displays substantial immune difference from SARS-CoV-2. Furthermore, we solve two complex structures of the GX/P2V/2017 RBD with MAbs belonging to RBD-1 and RBD-5, providing a structural basis for their different antigenicity. These results highlight the necessity for broad anti-coronavirus countermeasures and shed light on potential therapeutic targets.
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Ouyang WO, Tan TJ, Lei R, Song G, Kieffer C, Andrabi R, Matreyek KA, Wu NC. Probing the biophysical constraints of SARS-CoV-2 spike N-terminal domain using deep mutational scanning. SCIENCE ADVANCES 2022; 8:eadd7221. [PMID: 36417523 PMCID: PMC9683733 DOI: 10.1126/sciadv.add7221] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 10/03/2022] [Indexed: 06/16/2023]
Abstract
Increasing the expression level of the SARS-CoV-2 spike (S) protein has been critical for COVID-19 vaccine development. While previous efforts largely focused on engineering the receptor-binding domain (RBD) and the S2 subunit, the amino-terminal domain (NTD) has been long overlooked because of the limited understanding of its biophysical constraints. In this study, the effects of thousands of NTD single mutations on S protein expression were quantified by deep mutational scanning. Our results revealed that in terms of S protein expression, the mutational tolerability of NTD residues was inversely correlated with their proximity to the RBD and S2. We also identified NTD mutations at the interdomain interface that increased S protein expression without altering its antigenicity. Overall, this study not only advances the understanding of the biophysical constraints of the NTD but also provides invaluable insights into S-based immunogen design.
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Affiliation(s)
- Wenhao O. Ouyang
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Timothy J.C. Tan
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Ruipeng Lei
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Ge Song
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Collin Kieffer
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Raiees Andrabi
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
- Consortium for HIV/AIDS Vaccine Development (CHAVD), The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Kenneth A. Matreyek
- Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Nicholas C. Wu
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
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