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Chen S, Ruan C, Guo Y, Chang J, Yan H, Chen L, Duan Y, Duan G, Bei J, Li X, Gao S. Emergence of crucial evidence catalyzing the origin tracing of SARS-CoV-2. PLoS One 2024; 19:e0309557. [PMID: 39213297 PMCID: PMC11364235 DOI: 10.1371/journal.pone.0309557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 08/13/2024] [Indexed: 09/04/2024] Open
Abstract
Since the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), its genetic and geographical origins remain unclear, resulting in suspicions about its natural origin. In one of our previous studies, we reported the presence of a furin cleavage site RRAR in the junction region between S1 and S2 subunits of the spike protein, which was discovered as the first crucial clue for the origin tracing of SARS-CoV-2. In the present study, we conducted an integrative analysis of new genome data from bat Sarbecovirus strains reported after the COVID-19 outbreak. The primary results included the identification of BANAL-20-52, Rp22DB159, and S18CXBatR24 as three close relatives of SARS-CoV-2 and the successful detection of seven out of nine key genomic features (designated as RC0-7 and ORF8) observed in wild types of SARS-CoV-2 in the three close relatives from Laos, Vietnam, and Yunnan province of China, respectively. The most significant contribution of the present study lies in the detection of RC1 in wild genotype in a bat Sarbecovirus population BANAL-20-52 belonging to. Encoding a segment of the NSP3 protein, RC1 was discovered as the second crucial clue for the origin tracing of SARS-CoV-2. Although RC0, encoding the junction furin cleavage site, remains undetected outside of the SARS-CoV-2 genome, Feuang of Laos is the sole place where eight of the nine wild-type features (RC1-7 and ORF8) have been detected.
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Affiliation(s)
- Shunmei Chen
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
- Biomedical Engineering Research Institute, Kunming Medical University, Kunming, Yunnan, P.R.China
| | - Cihan Ruan
- Department of Computer Science and Engineering, Santa Clara University, Sant Clara, California, United States of America
| | - Yutong Guo
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
| | - Jia Chang
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
| | - Haohao Yan
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
| | - Liang Chen
- Biomedical Engineering Research Institute, Kunming Medical University, Kunming, Yunnan, P.R.China
| | - Yongzhong Duan
- Biomedical Engineering Research Institute, Kunming Medical University, Kunming, Yunnan, P.R.China
| | - Guangyou Duan
- School of Life Sciences, Qilu Normal University, Jinan, Shandong, P.R.China
| | - Jinlong Bei
- Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, P.R.China
| | - Xin Li
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
| | - Shan Gao
- College of Life Sciences, Nankai University, Tianjin, Tianjin, P.R.China
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Cheng L, Rui Y, Wang Y, Chen S, Su J, Yu XF. A glimpse into viral warfare: decoding the intriguing role of highly pathogenic coronavirus proteins in apoptosis regulation. J Biomed Sci 2024; 31:70. [PMID: 39003473 PMCID: PMC11245872 DOI: 10.1186/s12929-024-01062-1] [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: 01/06/2024] [Accepted: 06/18/2024] [Indexed: 07/15/2024] Open
Abstract
Coronaviruses employ various strategies for survival, among which the activation of endogenous or exogenous apoptosis stands out, with viral proteins playing a pivotal role. Notably, highly pathogenic coronaviruses such as SARS-CoV-2, SARS-CoV, and MERS-CoV exhibit a greater array of non-structural proteins compared to low-pathogenic strains, facilitating their ability to induce apoptosis via multiple pathways. Moreover, these viral proteins are adept at dampening host immune responses, thereby bolstering viral replication and persistence. This review delves into the intricate interplay between highly pathogenic coronaviruses and apoptosis, systematically elucidating the molecular mechanisms underpinning apoptosis induction by viral proteins. Furthermore, it explores the potential therapeutic avenues stemming from apoptosis inhibition as antiviral agents and the utilization of apoptosis-inducing viral proteins as therapeutic modalities. These insights not only shed light on viral pathogenesis but also offer novel perspectives for cancer therapy.
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Affiliation(s)
- Leyi Cheng
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310009, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Yajuan Rui
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310009, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Yanpu Wang
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310009, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Shiqi Chen
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310009, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Jiaming Su
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310009, China.
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
| | - Xiao-Fang Yu
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310009, China.
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
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3
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Kalirad A, Burch CL, Azevedo RBR. Genetic drift promotes and recombination hinders speciation on holey fitness landscapes. PLoS Genet 2024; 20:e1011126. [PMID: 38252672 PMCID: PMC10833538 DOI: 10.1371/journal.pgen.1011126] [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: 04/03/2023] [Revised: 02/01/2024] [Accepted: 01/06/2024] [Indexed: 01/24/2024] Open
Abstract
Dobzhansky and Muller proposed a general mechanism through which microevolution, the substitution of alleles within populations, can cause the evolution of reproductive isolation between populations and, therefore, macroevolution. As allopatric populations diverge, many combinations of alleles differing between them have not been tested by natural selection and may thus be incompatible. Such genetic incompatibilities often cause low fitness in hybrids between species. Furthermore, the number of incompatibilities grows with the genetic distance between diverging populations. However, what determines the rate and pattern of accumulation of incompatibilities remains unclear. We investigate this question by simulating evolution on holey fitness landscapes on which genetic incompatibilities can be identified unambiguously. We find that genetic incompatibilities accumulate more slowly among genetically robust populations and identify two determinants of the accumulation rate: recombination rate and population size. In large populations with abundant genetic variation, recombination selects for increased genetic robustness and, consequently, incompatibilities accumulate more slowly. In small populations, genetic drift interferes with this process and promotes the accumulation of genetic incompatibilities. Our results suggest a novel mechanism by which genetic drift promotes and recombination hinders speciation.
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Affiliation(s)
- Ata Kalirad
- Department of Biology and Biochemistry, University of Houston, Houston, Texas, United States of America
- Department for Integrative Evolutionary Biology, Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Christina L. Burch
- Department of Biology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Ricardo B. R. Azevedo
- Department of Biology and Biochemistry, University of Houston, Houston, Texas, United States of America
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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: 2] [Impact Index Per Article: 1.0] [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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Cecchetto R, Tonon E, Medaina N, Turri G, Diani E, Piccaluga PP, Salomoni A, Conti M, Tacconelli E, Lagni A, Lotti V, Favarato M, Gibellini D. Detection of SARS-CoV-2 Δ426 ORF8 Deletion Mutant Cluster in NGS Screening. Microorganisms 2023; 11:2378. [PMID: 37894036 PMCID: PMC10609088 DOI: 10.3390/microorganisms11102378] [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: 08/02/2023] [Revised: 09/14/2023] [Accepted: 09/21/2023] [Indexed: 10/29/2023] Open
Abstract
Next-generation sequencing (NGS) from SARS-CoV-2-positive swabs collected during the last months of 2022 revealed a large deletion spanning ORF7b and ORF8 (426 nt) in six patients infected with the BA.5.1 Omicron variant. This extensive genome loss removed a large part of these two genes, maintaining in frame the first 22 aminoacids of ORF7b and the last three aminoacids of ORF8. Interestingly, the deleted region was flanked by two small repeats, which were likely involved in the formation of a hairpin structure. Similar rearrangements, comparable in size and location to the deletion, were also identified in 15 sequences in the NCBI database. In this group, seven out of 15 cases from the USA and Switzerland presented both the BA.5.1 variant and the same 426 nucleotides deletion. It is noteworthy that three out of six cases were detected in patients with immunodeficiency, and it is conceivable that this clinical condition could promote the replication and selection of these mutations.
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Affiliation(s)
- Riccardo Cecchetto
- Microbiology Section, Department of Diagnostic and Public Health, University of Verona, 37134 Verona, Italy; (R.C.); (E.T.); (A.L.); (V.L.); (D.G.)
- UOC Microbiology Unit, AOUI Verona, 37134 Verona, Italy; (N.M.); (G.T.)
| | - Emil Tonon
- Microbiology Section, Department of Diagnostic and Public Health, University of Verona, 37134 Verona, Italy; (R.C.); (E.T.); (A.L.); (V.L.); (D.G.)
- UOC Microbiology Unit, AOUI Verona, 37134 Verona, Italy; (N.M.); (G.T.)
| | - Nicoletta Medaina
- UOC Microbiology Unit, AOUI Verona, 37134 Verona, Italy; (N.M.); (G.T.)
| | - Giona Turri
- UOC Microbiology Unit, AOUI Verona, 37134 Verona, Italy; (N.M.); (G.T.)
| | - Erica Diani
- Microbiology Section, Department of Diagnostic and Public Health, University of Verona, 37134 Verona, Italy; (R.C.); (E.T.); (A.L.); (V.L.); (D.G.)
| | - Pier Paolo Piccaluga
- Hematopathology Section, Department of Experimental, Diagnostic, and Experimental Medicine, Bologna University, 40126 Bologna, Italy;
| | - Angela Salomoni
- Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, 35020 Padua, Italy;
| | - Michela Conti
- Infectious Diseases Section, Department of Diagnostic and Public Health, University of Verona, 37134 Verona, Italy; (M.C.); (E.T.)
| | - Evelina Tacconelli
- Infectious Diseases Section, Department of Diagnostic and Public Health, University of Verona, 37134 Verona, Italy; (M.C.); (E.T.)
| | - Anna Lagni
- Microbiology Section, Department of Diagnostic and Public Health, University of Verona, 37134 Verona, Italy; (R.C.); (E.T.); (A.L.); (V.L.); (D.G.)
| | - Virginia Lotti
- Microbiology Section, Department of Diagnostic and Public Health, University of Verona, 37134 Verona, Italy; (R.C.); (E.T.); (A.L.); (V.L.); (D.G.)
| | - Mosé Favarato
- Molecular Diagnostics and Genetics, AULSS 3 Serenissima, 30174 Venice, Italy;
| | - Davide Gibellini
- Microbiology Section, Department of Diagnostic and Public Health, University of Verona, 37134 Verona, Italy; (R.C.); (E.T.); (A.L.); (V.L.); (D.G.)
- UOC Microbiology Unit, AOUI Verona, 37134 Verona, Italy; (N.M.); (G.T.)
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6
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Bykova A, Saura A, Glazko GV, Roche-Lima A, Yurchenko V, Rogozin IB. The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection. BMC Genomics 2023; 24:387. [PMID: 37430204 DOI: 10.1186/s12864-023-09482-3] [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: 01/04/2023] [Accepted: 06/23/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND Accessory proteins have diverse roles in coronavirus pathobiology. One of them in SARS-CoV (the causative agent of the severe acute respiratory syndrome outbreak in 2002-2003) is encoded by the open reading frame 8 (ORF8). Among the most dramatic genomic changes observed in SARS-CoV isolated from patients during the peak of the pandemic in 2003 was the acquisition of a characteristic 29-nucleotide deletion in ORF8. This deletion cause splitting of ORF8 into two smaller ORFs, namely ORF8a and ORF8b. Functional consequences of this event are not entirely clear. RESULTS Here, we performed evolutionary analyses of ORF8a and ORF8b genes and documented that in both cases the frequency of synonymous mutations was greater than that of nonsynonymous ones. These results suggest that ORF8a and ORF8b are under purifying selection, thus proteins translated from these ORFs are likely to be functionally important. Comparisons with several other SARS-CoV genes revealed that another accessory gene, ORF7a, has a similar ratio of nonsynonymous to synonymous mutations suggesting that ORF8a, ORF8b, and ORF7a are under similar selection pressure. CONCLUSIONS Our results for SARS-CoV echo the known excess of deletions in the ORF7a-ORF7b-ORF8 complex of accessory genes in SARS-CoV-2. A high frequency of deletions in this gene complex might reflect recurrent searches in "functional space" of various accessory protein combinations that may eventually produce more advantageous configurations of accessory proteins similar to the fixed deletion in the SARS-CoV ORF8 gene.
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Affiliation(s)
- Anastassia Bykova
- Life Science Research Centre, Faculty of Science, University of Ostrava, Ostrava, 710 00, Czech Republic
| | - Andreu Saura
- Life Science Research Centre, Faculty of Science, University of Ostrava, Ostrava, 710 00, Czech Republic
| | - Galina V Glazko
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA
| | - Abiel Roche-Lima
- Center for Collaborative Research in Health Disparities-RCMI Program, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, 00936, USA
| | - Vyacheslav Yurchenko
- Life Science Research Centre, Faculty of Science, University of Ostrava, Ostrava, 710 00, Czech Republic.
| | - Igor B Rogozin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA.
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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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AlMalki FA, Albukhaty S, Alyamani AA, Khalaf MN, Thomas S. The relevant information about the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using the five-question approach (when, where, what, why, and how) and its impact on the environment. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:61430-61454. [PMID: 35175517 PMCID: PMC8852932 DOI: 10.1007/s11356-022-18868-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 01/21/2022] [Indexed: 05/08/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is regarded as a threat because it spreads quickly across the world without requiring a passport or establishing an identity. This tiny virus has wreaked havoc on people's lives, killed people, and created psychological problems all over the world. The viral spike protein (S) significantly contributes to host cell entry, and mutations associated with it, particularly in the receptor-binding protein (RBD), either facilitate the escape of virus from neutralizing antibodies or enhance its transmission by increasing the affinity for cell entry receptor, angiotensin-converting enzyme 2 (ACE2). The initial variants identified in Brazil, South Africa, and the UK have spread to various countries. On the other hand, new variants are being detected in India and the USA. The viral genome and proteome were applied for molecular detection techniques, and nanotechnology particles and materials were utilized in protection and prevention strategies. Consequently, the SARS-CoV-2 pandemic has resulted in extraordinary scientific community efforts to develop detection methods, diagnosis tools, and effective antiviral drugs and vaccines, where prevailing academic, governmental, and industrial institutions and organizations continue to engage themselves in large-scale screening of existing drugs, both in vitro and in vivo. In addition, COVID-19 pointed on the possible solutions for the environmental pollution globe problem. Therefore, this review aims to address SARS-CoV-2, its transmission, where it can be found, why it is severe in some people, how it can be stopped, its diagnosis and detection techniques, and its relationship with the environment.
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Affiliation(s)
- Faizah A AlMalki
- Department of Biology, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Kingdom of Saudi Arabia.
| | - Salim Albukhaty
- Deptartment of Chemistry, College of Science, University of Misan, Maysan, 62001, Iraq
| | - Amal A Alyamani
- Department of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Kingdom of Saudi Arabia
| | - Moayad N Khalaf
- Deptartment of Chemistry, College of Science, University of Basrah, Basrah, Iraq
| | - Sabu Thomas
- Centre for Nanoscience and Nanotechnology, Mahatma Gandhi University, Kottayam, Kerala, 686 560, India
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Sotcheff S, Zhou Y, Yeung J, Sun Y, Johnson JE, Torbett BE, Routh AL. ViReMa: a virus recombination mapper of next-generation sequencing data characterizes diverse recombinant viral nucleic acids. Gigascience 2023; 12:giad009. [PMID: 36939008 PMCID: PMC10025937 DOI: 10.1093/gigascience/giad009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 11/30/2022] [Accepted: 02/03/2023] [Indexed: 03/21/2023] Open
Abstract
BACKGROUND Genetic recombination is a tremendous source of intrahost diversity in viruses and is critical for their ability to rapidly adapt to new environments or fitness challenges. While viruses are routinely characterized using high-throughput sequencing techniques, characterizing the genetic products of recombination in next-generation sequencing data remains a challenge. Viral recombination events can be highly diverse and variable in nature, including simple duplications and deletions, or more complex events such as copy/snap-back recombination, intervirus or intersegment recombination, and insertions of host nucleic acids. Due to the variable mechanisms driving virus recombination and the different selection pressures acting on the progeny, recombination junctions rarely adhere to simple canonical sites or sequences. Furthermore, numerous different events may be present simultaneously in a viral population, yielding a complex mutational landscape. FINDINGS We have previously developed an algorithm called ViReMa (Virus Recombination Mapper) that bootstraps the bowtie short-read aligner to capture and annotate a wide range of recombinant species found within virus populations. Here, we have updated ViReMa to provide an "error density" function designed to accurately detect recombination events in the longer reads now routinely generated by the Illumina platforms and provide output reports for multiple types of recombinant species using standardized formats. We demonstrate the utility and flexibility of ViReMa in different settings to report deletion events in simulated data from Flock House virus, copy-back RNA species in Sendai viruses, short duplication events in HIV, and virus-to-host recombination in an archaeal DNA virus.
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Affiliation(s)
- Stephanea Sotcheff
- Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Yiyang Zhou
- Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Jason Yeung
- John Sealy School of Medicine, The University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Yan Sun
- Department of Microbiology and Immunology, The University of Rochester Medical Center, Rochester, NY 14642, USA
| | - John E Johnson
- Department of Integrative Structural and Computational Biology, Scripps Research, La Jolla, CA 92037, USA
| | - Bruce E Torbett
- Department of Pediatrics, School of Medicine, University of Washington, Seattle, WA 98105, USA
- Center for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, WA 98105, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Andrew L Routh
- Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX 77555, USA
- Sealy Center for Structural Biology and Molecular Biophysics, The University of Texas Medical Branch, Galveston, TX 77555, USA
- Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, TX 77555, USA
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10
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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: 13] [Impact Index Per Article: 6.5] [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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11
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Deletions across the SARS-CoV-2 Genome: Molecular Mechanisms and Putative Functional Consequences of Deletions in Accessory Genes. Microorganisms 2023; 11:microorganisms11010229. [PMID: 36677521 PMCID: PMC9862619 DOI: 10.3390/microorganisms11010229] [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: 12/21/2022] [Revised: 01/13/2023] [Accepted: 01/13/2023] [Indexed: 01/18/2023] Open
Abstract
The analysis of deletions may reveal evolutionary trends and provide new insight into the surprising variability and rapidly spreading capability that SARS-CoV-2 has shown since its emergence. To understand the factors governing genomic stability, it is important to define the molecular mechanisms of deletions in the viral genome. In this work, we performed a statistical analysis of deletions. Specifically, we analyzed correlations between deletions in the SARS-CoV-2 genome and repetitive elements and documented a significant association of deletions with runs of identical (poly-) nucleotides and direct repeats. Our analyses of deletions in the accessory genes of SARS-CoV-2 suggested that there may be a hypervariability in ORF7A and ORF8 that is not associated with repetitive elements. Such recurrent search in a "sequence space" of accessory genes (that might be driven by natural selection) did not yet cause increased viability of the SARS-CoV-2 variants. However, deletions in the accessory genes may ultimately produce new variants that are more successful compared to the viral strains with the conventional architecture of the SARS-CoV-2 accessory genes.
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12
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Rana V, Chien E, Peng J, Milenkovic O. Small-Sample Estimation of the Mutational Support and Distribution of SARS-CoV-2. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2023; 20:668-682. [PMID: 35385386 PMCID: PMC10009811 DOI: 10.1109/tcbb.2022.3165395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
We consider the problem of determining the mutational support and distribution of the SARS-CoV-2 viral genome in the small-sample regime. The mutational support refers to the unknown number of sites that may eventually mutate in the SARS-CoV-2 genome while mutational distribution refers to the distribution of point mutations in the viral genome across a population. The mutational support may be used to assess the virulence of the virus and guide primer selection for real-time RT-PCR testing. Estimating the distribution of mutations in the genome of different subpopulations while accounting for the unseen may also aid in discovering new variants. To estimate the mutational support in the small-sample regime, we use GISAID sequencing data and our state-of-the-art polynomial estimation techniques based on new weighted and regularized Chebyshev approximation methods. For distribution estimation, we adapt the well-known Good-Turing estimator. Our analysis reveals several findings: First, the mutational supports exhibit significant differences in the ORF6 and ORF7a regions (older versus younger patients), ORF1b and ORF10 regions (females versus males) and in almost all ORFs (Asia/Europe/North America). Second, even though the N region of SARS-CoV-2 has a predicted 10% mutational support, mutations fall outside of the primer regions recommended by the CDC.
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13
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Lvov DK, Alkhovsky SV, Zhirnov OP. [130th anniversary of virology]. Vopr Virusol 2022; 67:357-384. [PMID: 36515283 DOI: 10.36233/0507-4088-140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Indexed: 06/17/2023]
Abstract
130 years ago, in 1892, our great compatriot Dmitry Iosifovich Ivanovsky (18641920) discovered a new type of pathogen viruses. Viruses have existed since the birth of life on Earth and for more than three billion years, as the biosphere evolved, they are included in interpopulation interactions with representatives of all kingdoms of life: archaea, bacteria, protozoa, algae, fungi, plants, invertebrates, and vertebrates, including the Homo sapiens (Hominidae, Homininae). Discovery of D.I. Ivanovsky laid the foundation for a new science virology. The rapid development of virology in the 20th century was associated with the fight against emerging and reemerging infections, epidemics (epizootics) and pandemics (panzootics) of which posed a threat to national and global biosecurity (tick-borne and other encephalitis, hemorrhagic fevers, influenza, smallpox, poliomyelitis, HIV, parenteral hepatitis, coronaviral and other infections). Fundamental research on viruses created the basis for the development of effective methods of diagnostics, vaccine prophylaxis, and antiviral drugs. Russian virologists continue to occupy leading positions in some priority areas of modern virology in vaccinology, environmental studies oz zoonotic viruses, studies of viral evolution in various ecosystems, and several other areas. A meaningful combination of theoretical approaches to studying the evolution of viruses with innovative methods for studying their molecular genetic properties and the creation of new generations of vaccines and antiviral drugs on this basis will significantly reduce the consequences of future pandemics or panzootics. The review presents the main stages in the formation and development of virology as a science in Russia with an emphasis on the most significant achievements of soviet and Russian virologists in the fight against viral infectious diseases.
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Affiliation(s)
- D K Lvov
- D.I. Ivanovsky Institute of Virology of N.F Gamaleya National Research Center of Epidemiology and Microbiology of Ministry of Health of the Russian Federation
| | - S V Alkhovsky
- D.I. Ivanovsky Institute of Virology of N.F Gamaleya National Research Center of Epidemiology and Microbiology of Ministry of Health of the Russian Federation
| | - O P Zhirnov
- D.I. Ivanovsky Institute of Virology of N.F Gamaleya National Research Center of Epidemiology and Microbiology of Ministry of Health of the Russian Federation
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14
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Goldstein SA, Brown J, Pedersen BS, Quinlan AR, Elde NC. Extensive Recombination-driven Coronavirus Diversification Expands the Pool of Potential Pandemic Pathogens. Genome Biol Evol 2022; 14:6795266. [PMID: 36477201 PMCID: PMC9730504 DOI: 10.1093/gbe/evac161] [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] [Accepted: 10/26/2022] [Indexed: 11/06/2022] Open
Abstract
The ongoing SARS-CoV-2 pandemic is the third zoonotic coronavirus identified in the last 20 years. Enzootic and epizootic coronaviruses of diverse lineages also pose a significant threat to livestock, as most recently observed for virulent strains of porcine epidemic diarrhea virus (PEDV) and swine acute diarrhea-associated coronavirus (SADS-CoV). Unique to RNA viruses, coronaviruses encode a proofreading exonuclease (ExoN) that lowers point mutation rates to increase the viability of large RNA virus genomes, which comes with the cost of limiting virus adaptation via point mutation. This limitation can be overcome by high rates of recombination that facilitate rapid increases in genetic diversification. To compare the dynamics of recombination between related sequences, we developed an open-source computational workflow (IDPlot) that bundles nucleotide identity, recombination, and phylogenetic analysis into a single pipeline. We analyzed recombination dynamics among three groups of coronaviruses with noteworthy impacts on human health and agriculture: SARSr-CoV, Betacoronavirus-1, and SADSr-CoV. We found that all three groups undergo recombination with highly diverged viruses from undersampled or unsampled lineages, including in typically highly conserved regions of the genome. In several cases, no parental origin of recombinant regions could be found in genetic databases, demonstrating our shallow characterization of coronavirus diversity and expanding the genetic pool that may contribute to future zoonotic events. Our results also illustrate the limitations of current sampling approaches for anticipating zoonotic threats to human and animal health.
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Affiliation(s)
| | | | - Brent S Pedersen
- Department of Human Genetics, University of Utah, Salt Lake City, Utah, USA
| | - Aaron R Quinlan
- Department of Human Genetics, University of Utah, Salt Lake City, Utah, USA
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15
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Vázquez-Rodríguez EM, Vázquez-Rodríguez CF, Ortega-Betancourt NV, León-Hernández RC, de León-Escobedo R, Moctezuma-Paz A, Vázquez-Nava F. [Physical inactivity in young people during home confinement due to COVID-19]. REVISTA MEDICA DEL INSTITUTO MEXICANO DEL SEGURO SOCIAL 2022; 60:649-656. [PMID: 36283027 PMCID: PMC10396040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 06/06/2022] [Indexed: 06/16/2023]
Abstract
Background Physical inactivity is a highly prevalent condition in the world and has been associated with increased susceptibility to develop comorbidities and present with severe respiratory distress syndrome due to COVID-19. Objective To identify the factors present in the family environment and the personal reasons associated with physical inactivity in young people during confinement at home due to COVID-19. Material and methods A cross-sectional study analyzed data from 1,326 young people, ages 15 - 18. To collect information, a questionnaire was constructed using the Google Forms tool and distributed through the WhatsApp application and email to collect the information. Results The prevalence of physical inactivity was 43.4%. Approximately 24.4% were overweight, and 8.8% were obese. Near 43.0% of young people reported living in an environment with a dysfunctional family. The multivariate logistic regression analysis showed that suffering from obesity, does not have space at home, or devices to exercise and present a change in emotions, are related to the physical inactivity of young people during confinement at home due to the COVID-19 pandemic. Conclusions It is important to promote a harmonious environment within the family and the personal development of a healthy lifestyle, during the period of application of the contingency plan due to the presence of a pandemic, in order to maintain a better healthy physical and mental state.
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Affiliation(s)
- Eliza Mireya Vázquez-Rodríguez
- Universidad Veracruzana, Facultad de Medicina, Campus Minatitlán. Veracruz, Veracruz, MéxicoUniversidad VeracruzanaMéxico
| | - Carlos Francisco Vázquez-Rodríguez
- Instituto Mexicano del Seguro Social, Hospital Regional No. 1, Departamento de Medicina Comunitaria. Orizaba, Veracruz, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - Nancy Virginia Ortega-Betancourt
- Instituto Mexicano del Seguro Social, Hospital Regional No. 1, Departamento de Medicina Comunitaria. Orizaba, Veracruz, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - Rodrigo César León-Hernández
- Universidad Autónoma de Tamaulipas, Facultad de Enfermería. Tampico, Tamaulipas, MéxicoUniversidad Autónoma de TamaulipasMéxico
| | - Raúl de León-Escobedo
- Universidad Autónoma de Tamaulipas, Facultad de Medicina de Tampico, Departamento de Investigación. Tampico, Tamaulipas, MéxicoUniversidad Autónoma de TamaulipasMéxico
| | - Alejandro Moctezuma-Paz
- Instituto Mexicano del Seguro Social, Coordinación de Investigación en Salud, División de Investigación Clínica. Ciudad de México, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - Francisco Vázquez-Nava
- Universidad Autónoma de Tamaulipas, Facultad de Medicina de Tampico, Departamento de Investigación. Tampico, Tamaulipas, MéxicoUniversidad Autónoma de TamaulipasMéxico
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16
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Jiménez-Báez MV, Sandoval-Jurado L, Santiago-Espinosa O, Ramírez-Aranda JM, Romero-Figueroa MDS, Montiel-Jarquín A, Prieto-Torres ME. [Epidemiological and clinical characteristics of the COVID-19 epidemic in Mexico: Quintana Roo case]. REVISTA MEDICA DEL INSTITUTO MEXICANO DEL SEGURO SOCIAL 2022; 60:657-665. [PMID: 36283034 PMCID: PMC10395888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 06/30/2022] [Indexed: 06/16/2023]
Abstract
Objective Identify risk factors for severe outcome in Mexican patients with COVID-19 in the population of Quintana Roo. Material and methods Study of 5,916 who met the criteria for suspected cases of COVID-19, 2,531 confirmed by qrTPCR-Sars-CoV-2 tests, of which 1,486 were positive, among which they were classified as hospitalized (severe COVID-19) and outpatients. Multivariate logistic regression analysis was performed to explore the factors associated with the severity of COVID-19 and death as clinical outcomes. The basic reproduction number (R0) was calculated Statistical analysis) Endorsement of the ethics committee 2301. Results SARS-CoV-2 positive patients presented a high prevalence of hypertension 29.1%, diabetes 23.5%, obesity 24%, and 48.5% have at least one chronic disease. There is a high risk of severity for COVID-19 in patients with diabetes OR=3.14, hypertension OR=1.88, obesity OR=1.68, kidney disease OR=3.2, older than 65 years OR=13.6 and men OR=1.7. These factors also increase the risk of death up to 7.7 times. The maximum R0 during the epidemic was 2.4. Conclusion Liver and kidney disease, diabetes, hypertension, and obesity are significantly associated with severe COVID-19 and death.
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Affiliation(s)
- María Valeria Jiménez-Báez
- Instituto Mexicano del Seguro Social, Órgano de Operación Administrativa Desconcentrada Estatal Quintana Roo, Coordinación de Planeación y Enlace Institucional. Cancún, Quintana Roo, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - Luis Sandoval-Jurado
- Instituto Mexicano del Seguro Social, Órgano de Operación Administrativa Desconcentrada Estatal Quintana Roo, Coordinación de Planeación y Enlace Institucional. Cancún, Quintana Roo, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - Oscar Santiago-Espinosa
- Instituto Mexicano del Seguro Social, Órgano de Operación Administrativa Desconcentrada Estatal Quintana Roo, Coordinación de Información y Análisis Estratégico. Cancún, Quintana Roo, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - José Manuel Ramírez-Aranda
- Universidad Autónoma de Nuevo León, Departamento de Medicina Familiar. Monterrey, Nuevo León, MéxicoUniversidad Autónoma de Nuevo LeónMéxico
| | | | - Alvaro Montiel-Jarquín
- Instituto Mexicano del Seguro Social, Hospital de Especialidades de Puebla, Puebla, Puebla, MéxicoInstituto Mexicano del Seguro SocialMéxico
| | - María Erhandi Prieto-Torres
- Instituto Mexicano del Seguro Social, Órgano de Operación Administrativa Desconcentrada Estatal Quintana Roo, Coordinación de Información y Análisis Estratégico. Cancún, Quintana Roo, MéxicoInstituto Mexicano del Seguro SocialMéxico
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17
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Colson P, Gautret P, Delerce J, Chaudet H, Pontarotti P, Forterre P, Tola R, Bedotto M, Delorme L, Bader W, Levasseur A, Lagier J, Million M, Yahi N, Fantini J, La Scola B, Fournier P, Raoult D. The emergence, spread and vanishing of a French SARS-CoV-2 variant exemplifies the fate of RNA virus epidemics and obeys the Mistigri rule. J Med Virol 2022; 95:e28102. [PMID: 36031728 PMCID: PMC9539255 DOI: 10.1002/jmv.28102] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 07/25/2022] [Accepted: 08/25/2022] [Indexed: 01/11/2023]
Abstract
The nature and dynamics of mutations associated with the emergence, spread, and vanishing of SARS-CoV-2 variants causing successive waves are complex. We determined the kinetics of the most common French variant ("Marseille-4") for 10 months since its onset in July 2020. Here, we analyzed and classified into subvariants and lineages 7453 genomes obtained by next-generation sequencing. We identified two subvariants, Marseille-4A, which contains 22 different lineages of at least 50 genomes, and Marseille-4B. Their average lifetime was 4.1 ± 1.4 months, during which 4.1 ± 2.6 mutations accumulated. Growth rate was 0.079 ± 0.045, varying from 0.010 to 0.173. Most of the lineages exhibited a bell-shaped distribution. Several beneficial mutations at unpredicted sites initiated a new outbreak, while the accumulation of other mutations resulted in more viral heterogenicity, increased diversity and vanishing of the lineages. Marseille-4B emerged when the other Marseille-4 lineages vanished. Its ORF8 gene was knocked out by a stop codon, as reported in SARS-CoV-2 of mink and in the Alpha variant. This subvariant was associated with increased hospitalization and death rates, suggesting that ORF8 is a nonvirulence gene. We speculate that the observed heterogenicity of a lineage may predict the end of the outbreak.
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Affiliation(s)
- Philippe Colson
- IHU Méditerranée InfectionMarseilleFrance,Assistance Publique‐Hôpitaux de Marseille (AP‐HM)MarseilleFrance,Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI)Aix‐Marseille UniversityMarseilleFrance
| | - Philippe Gautret
- IHU Méditerranée InfectionMarseilleFrance,Assistance Publique‐Hôpitaux de Marseille (AP‐HM)MarseilleFrance,Institut de Recherche pour le Développement (IRD), Vecteurs—Infections Tropicales et Méditerranéennes (VITROME)Aix‐Marseille UniversityMarseilleFrance
| | | | - Hervé Chaudet
- IHU Méditerranée InfectionMarseilleFrance,Institut de Recherche pour le Développement (IRD), Vecteurs—Infections Tropicales et Méditerranéennes (VITROME)Aix‐Marseille UniversityMarseilleFrance,French Armed Forces Center for Epidemiology and Public Health (CESPA), Camp de Sainte MartheMarseilleFrance
| | - Pierre Pontarotti
- IHU Méditerranée InfectionMarseilleFrance,Centre national de la recherche scientifique (CNRS)MarseilleFrance
| | - Patrick Forterre
- Département de MicrobiologieInstitut PasteurParisFrance,Institute for Integrative Biology of the Cell (I2BC)Université Paris‐Saclay, CEA, CNRSGif‐sur‐YvetteFrance
| | - Raphael Tola
- IHU Méditerranée InfectionMarseilleFrance,Assistance Publique‐Hôpitaux de Marseille (AP‐HM)MarseilleFrance
| | | | - Léa Delorme
- IHU Méditerranée InfectionMarseilleFrance,Institut de Recherche pour le Développement (IRD), Vecteurs—Infections Tropicales et Méditerranéennes (VITROME)Aix‐Marseille UniversityMarseilleFrance,French Armed Forces Center for Epidemiology and Public Health (CESPA), Camp de Sainte MartheMarseilleFrance
| | - Wahiba Bader
- IHU Méditerranée InfectionMarseilleFrance,Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI)Aix‐Marseille UniversityMarseilleFrance
| | - Anthony Levasseur
- IHU Méditerranée InfectionMarseilleFrance,Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI)Aix‐Marseille UniversityMarseilleFrance
| | - Jean‐Christophe Lagier
- IHU Méditerranée InfectionMarseilleFrance,Assistance Publique‐Hôpitaux de Marseille (AP‐HM)MarseilleFrance,Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI)Aix‐Marseille UniversityMarseilleFrance
| | - Matthieu Million
- IHU Méditerranée InfectionMarseilleFrance,Assistance Publique‐Hôpitaux de Marseille (AP‐HM)MarseilleFrance,Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI)Aix‐Marseille UniversityMarseilleFrance
| | - Nouara Yahi
- INSERM UMR_S 1072Aix‐Marseille UniversitéMarseilleFrance
| | | | - Bernard La Scola
- IHU Méditerranée InfectionMarseilleFrance,Assistance Publique‐Hôpitaux de Marseille (AP‐HM)MarseilleFrance,Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI)Aix‐Marseille UniversityMarseilleFrance
| | - Pierre‐Edouard Fournier
- IHU Méditerranée InfectionMarseilleFrance,Assistance Publique‐Hôpitaux de Marseille (AP‐HM)MarseilleFrance,Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI)Aix‐Marseille UniversityMarseilleFrance
| | - Didier Raoult
- IHU Méditerranée InfectionMarseilleFrance,Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI)Aix‐Marseille UniversityMarseilleFrance
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18
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Turakhia Y, Thornlow B, Hinrichs A, McBroome J, Ayala N, Ye C, Smith K, De Maio N, Haussler D, Lanfear R, Corbett-Detig R. Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape. Nature 2022; 609:994-997. [PMID: 35952714 PMCID: PMC9519458 DOI: 10.1038/s41586-022-05189-9] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 08/03/2022] [Indexed: 11/29/2022]
Abstract
Accurate and timely detection of recombinant lineages is crucial for interpreting genetic variation, reconstructing epidemic spread, identifying selection and variants of interest, and accurately performing phylogenetic analyses1-4. During the SARS-CoV-2 pandemic, genomic data generation has exceeded the capacities of existing analysis platforms, thereby crippling real-time analysis of viral evolution5. Here, we use a new phylogenomic method to search a nearly comprehensive SARS-CoV-2 phylogeny for recombinant lineages. In a 1.6 million sample tree from May 2021, we identify 589 recombination events, which indicate that around 2.7% of sequenced SARS-CoV-2 genomes have detectable recombinant ancestry. Recombination breakpoints are inferred to occur disproportionately in the 3' portion of the genome that contains the spike protein. Our results highlight the need for timely analyses of recombination for pinpointing the emergence of recombinant lineages with the potential to increase transmissibility or virulence of the virus. We anticipate that this approach will empower comprehensive real-time tracking of viral recombination during the SARS-CoV-2 pandemic and beyond.
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Affiliation(s)
- Yatish Turakhia
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.
- Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA.
| | - Bryan Thornlow
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Angie Hinrichs
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Jakob McBroome
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Nicolas Ayala
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Cheng Ye
- Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, USA
| | - Kyle Smith
- Department of Biological Sciences, University of California, San Diego, San Diego, CA, USA
| | - Nicola De Maio
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge, UK
| | - David Haussler
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Robert Lanfear
- Department of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Russell Corbett-Detig
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.
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19
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Sun W. Host-Genome Similarity Characterizes the Adaption of SARS-CoV-2 to Humans. Biomolecules 2022; 12:972. [PMID: 35883528 PMCID: PMC9312508 DOI: 10.3390/biom12070972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 06/30/2022] [Accepted: 07/07/2022] [Indexed: 02/04/2023] Open
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a high mutation rate and many variants have emerged in the last 2 years, including Alpha, Beta, Delta, Gamma and Omicron. Studies showed that the host-genome similarity (HGS) of SARS-CoV-2 is higher than SARS-CoV and the HGS of open reading frame (ORF) in coronavirus genome is closely related to suppression of innate immunity. Many works have shown that ORF 6 and ORF 8 of SARS-CoV-2 play an important role in suppressing IFN-β signaling pathway in vivo. However, the relation between HGS and the adaption of SARS-CoV-2 variants is still not clear. This work investigates HGS of SARS-CoV-2 variants based on a dataset containing more than 40,000 viral genomes. The relation between HGS of viral ORFs and the suppression of antivirus response is studied. The results show that ORF 7b, ORF 6 and ORF 8 are the top 3 genes with the highest HGS. In the past 2 years, the HGS values of ORF 8 and ORF 7B of SARS-CoV-2 have increased greatly. A remarkable correlation is discovered between HGS and inhibition of antivirus response of immune system, which suggests that the similarity between coronavirus and host gnome may be an indicator of the suppression of innate immunity. Among the five variants (Alpha, Beta, Delta, Gamma and Omicron), Delta has the highest HGS and Omicron has the lowest HGS. This finding implies that the high HGS in Delta variant may indicate further suppression of host innate immunity. However, the relatively low HGS of Omicron is still a puzzle. By comparing the mutations in genomes of Alpha, Delta and Omicron variants, a commonly shared mutation ACT > ATT is identified in high-HGS strain populations. The high HGS mutations among the three variants are quite different. This finding strongly suggests that mutations in high HGS strains are different in different variants. Only a few common mutations survive, which may play important role in improving the adaptability of SARS-CoV-2. However, the mechanism for how the mutations help SARS-CoV-2 escape immunity is still unclear. HGS analysis is a new method to study virus−host interaction and may provide a way to understand the rapid mutation and adaption of SARS-CoV-2.
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Affiliation(s)
- Weitao Sun
- School of Aerospace Engineering, Tsinghua University, Beijing 100084, China;
- Zhou Pei-Yuan Center for Applied Mathematics, Tsinghua University, Beijing 100084, China
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20
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Li L, Zhang L, Zhou J, He X, Yu Y, Liu P, Huang W, Xiang Z, Chen J. Epidemiology and Genomic Characterization of Two Novel SARS-Related Coronaviruses in Horseshoe Bats from Guangdong, China. mBio 2022; 13:e0046322. [PMID: 35467426 PMCID: PMC9239062 DOI: 10.1128/mbio.00463-22] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 03/04/2022] [Indexed: 01/11/2023] Open
Abstract
Severe acute respiratory syndrome (SARS) coronavirus (SARS-CoV) and SARS-CoV-2, the causative agents of SARS, which broke out in 2003, and coronavirus disease 2019 (COVID-2019), which broke out in 2019, probably originated in Rhinolophus sinicus and R. affinis, respectively. Rhinolophus bats are important hosts for coronaviruses. Many SARS-related coronaviruses (SARSr-CoVs) have been detected in bats from different areas of China; however, the diversity of bat SARSr-CoVs is increasing, and their transmission mechanisms have attracted much attention. Here, we report the findings of SARSr-CoVs in R. sinicus and R. affinis from South China from 2008 to 2021. The full-length genome sequences of the two novel SARSr-CoVs obtained from Guangdong shared 83 to 88% and 71 to 72% nucleotide identities with human SARS-CoV and SARS-CoV-2, respectively, while sharing high similarity with human SARS-CoV in hypervariable open reading frame 8 (ORF8). Significant recombination occurred between the two novel SARSr-CoVs. Phylogenetic analysis showed that the two novel bat SARSr-CoVs from Guangdong were more distant than the bat SARSr-CoVs from Yunnan to human SARS-CoV. We found that transmission in bats contributes more to virus diversity than time. Although our results of the sequence analysis of the receptor-binding motif (RBM) and the expression pattern of angiotensin-converting enzyme 2 (ACE2) inferred that these viruses could not directly infect humans, risks still exist after some unpredictable mutations. Thus, this study increased our understanding of the genetic diversity and transmission of SARSr-CoVs carried by bats in the field. IMPORTANCE Severe acute respiratory syndrome coronavirus (SARS-CoV) and SARS-CoV-2 probably originated from the SARS-related coronaviruses (SARSr-CoVs) carried by Rhinolophus bats from Yunnan, China. Systematic investigations of the reservoir hosts carrying SARSr-CoVs in Guangdong and the reservoir distribution and transmission are urgently needed to prevent future outbreaks. Here, we detected SARSr-CoV in Rhinolophus bat samples from Guangdong in 2009 and 2021 and found that the transmission of SARSr-CoV from different host populations contributes more to increased virus diversity than time. Bat SARSr-CoVs in Guangdong had genetic diversity, and Guangdong was also the hot spot for SARSr-CoVs. We once again prove that R. sinicus plays an important role in the maintenance of the SARS-CoVs. Besides, the SARSr-CoVs are mainly transmitted through the intestines in bats, and these SARSr-CoVs found in Guangdong could not use human ACE2 (hACE2), but whether they can pass through intermediate hosts or directly infect humans requires further research. Our findings demonstrate the ability of SARSr-CoVs to spread across species.
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Affiliation(s)
- Linmiao Li
- College of Life Science and Technology, Central South University of Forestry and Technology, Changsha, Hunan, China
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Libiao Zhang
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Jiabin Zhou
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Xiangyang He
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Yepin Yu
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Ping Liu
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Wenzhong Huang
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Zuofu Xiang
- College of Forestry, Central South University of Forestry and Technology, Changsha, Hunan, China
| | - Jinping Chen
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
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21
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Tian J, Sun J, Li D, Wang N, Wang L, Zhang C, Meng X, Ji X, Suchard MA, Zhang X, Lai A, Su S, Veit M. Emerging viruses: Cross-species transmission of coronaviruses, filoviruses, henipaviruses, and rotaviruses from bats. Cell Rep 2022; 39:110969. [PMID: 35679864 PMCID: PMC9148931 DOI: 10.1016/j.celrep.2022.110969] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 04/10/2022] [Accepted: 05/25/2022] [Indexed: 11/25/2022] Open
Abstract
Emerging infectious diseases, especially if caused by bat-borne viruses, significantly affect public health and the global economy. There is an urgent need to understand the mechanism of interspecies transmission, particularly to humans. Viral genetics; host factors, including polymorphisms in the receptors; and ecological, environmental, and population dynamics are major parameters to consider. Here, we describe the taxonomy, geographic distribution, and unique traits of bats associated with their importance as virus reservoirs. Then, we summarize the origin, intermediate hosts, and the current understanding of interspecies transmission of Middle East respiratory syndrome coronavirus (MERS-CoV), severe acute respiratory syndrome coronavirus (SARS-CoV), SARS-CoV-2, Nipah, Hendra, Ebola, Marburg virus, and rotaviruses. Finally, the molecular interactions of viral surface proteins with host cell receptors are examined, and a comparison of these interactions in humans, intermediate hosts, and bats is conducted. This uncovers adaptive mutations in virus spike protein that facilitate cross-species transmission and risk factors associated with the emergence of novel viruses from bats.
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Affiliation(s)
- Jin Tian
- State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No. 678 Haping Road, Harbin 150069, China.
| | - Jiumeng Sun
- College of Veterinary Medicine, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
| | - Dongyan Li
- College of Veterinary Medicine, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
| | - Ningning Wang
- College of Veterinary Medicine, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
| | - Lifang Wang
- College of Veterinary Medicine, China Agricultural University, No. 17 Qinghua Donglu, Beijing 100083, China
| | - Chang Zhang
- College of Veterinary Medicine, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
| | - Xiaorong Meng
- Institute for Virology, Center for Infection Medicine, Veterinary Faculty, Free University Berlin, Robert-von-Ostertag-Str. 7, 14163 Berlin, Germany
| | - Xiang Ji
- Department of Mathematics, School of Science & Engineering, Tulane University, 6823 St., Charles Avenue, New Orleans, LA 70118, USA
| | - Marc A Suchard
- Departments of Biomathematics, Human Genetics and Biostatistics, David Geffen School of Medicine and Fielding School of Public Health, University of California, Los Angeles, Geffen Hall 885 Tiverton Drive, Los Angeles, CA 90095, USA
| | - Xu Zhang
- College of Veterinary Medicine, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
| | - Alexander Lai
- School of Science, Technology, Engineering, and Mathematics, Kentucky State University, 400 East Main St., Frankfort, KY 40601, USA
| | - Shuo Su
- College of Veterinary Medicine, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China.
| | - Michael Veit
- Institute for Virology, Center for Infection Medicine, Veterinary Faculty, Free University Berlin, Robert-von-Ostertag-Str. 7, 14163 Berlin, Germany.
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22
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Hassanin A. Variation in synonymous nucleotide composition among genomes of sarbecoviruses and consequences for the origin of COVID-19. Gene X 2022; 835:146641. [PMID: 35700806 PMCID: PMC9200079 DOI: 10.1016/j.gene.2022.146641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 05/19/2022] [Accepted: 06/02/2022] [Indexed: 11/26/2022] Open
Abstract
The subgenus Sarbecovirus includes two human viruses, SARS-CoV and SARS-CoV-2, respectively responsible for the SARS epidemic and COVID-19 pandemic, as well as many bat viruses and two pangolin viruses. Here, the synonymous nucleotide composition (SNC) of Sarbecovirus genomes was analysed by examining third codon-positions, dinucleotides, and degenerate codons. The results show evidence for the eight following groups: (i) SARS-CoV related coronaviruses (SCoVrC including many bat viruses from China), (ii) SARS-CoV-2 related coronaviruses (SCoV2rC; including five bat viruses from Cambodia, Thailand and Yunnan), (iii) pangolin sarbecoviruses, (iv) three bat sarbecoviruses showing evidence of recombination between SCoVrC and SCoV2rC genomes, (v) two highly divergent bat sarbecoviruses from Yunnan, (vi) the bat sarbecovirus from Japan, (vii) the bat sarbecovirus from Bulgaria, and (viii) the bat sarbecovirus from Kenya. All these groups can be diagnosed by specific nucleotide compositional features except the one concerned by recombination between SCoVrC and SCoV2rC. In particular, SCoV2rC genomes have less cytosines and more uracils at third codon-positions than other sarbecoviruses, whereas the genomes of pangolin sarbecoviruses show more adenines at third codon-positions. I suggest that taxonomic differences in the imbalanced nucleotide pools available in host cells during viral replication can explain the eight groups of SNC here detected among Sarbecovirus genomes. A related effect due to hibernating bats and their latitudinal distribution is also discussed. I conclude that the two independent host switches from Rhinolophus bats to pangolins resulted in convergent mutational constraints and that SARS-CoV-2 emerged directly from a horseshoe bat sarbecovirus.
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Affiliation(s)
- Alexandre Hassanin
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Sorbonne Université, CNRS, EPHE, MNHN, UA, Paris, France.
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23
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Ou J, Lan W, Wu X, Zhao T, Duan B, Yang P, Ren Y, Quan L, Zhao W, Seto D, Chodosh J, Luo Z, Wu J, Zhang Q. Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events. Signal Transduct Target Ther 2022; 7:138. [PMID: 35474215 PMCID: PMC9039610 DOI: 10.1038/s41392-022-00992-2] [Citation(s) in RCA: 128] [Impact Index Per Article: 42.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 03/27/2022] [Accepted: 04/07/2022] [Indexed: 11/09/2022] Open
Abstract
The current pandemic of COVID-19 is fueled by more infectious emergent Omicron variants. Ongoing concerns of emergent variants include possible recombinants, as genome recombination is an important evolutionary mechanism for the emergence and re-emergence of human viral pathogens. In this study, we identified diverse recombination events between two Omicron major subvariants (BA.1 and BA.2) and other variants of concern (VOCs) and variants of interest (VOIs), suggesting that co-infection and subsequent genome recombination play important roles in the ongoing evolution of SARS-CoV-2. Through scanning high-quality completed Omicron spike gene sequences, 18 core mutations of BA.1 (frequency >99%) and 27 core mutations of BA.2 (nine more than BA.1) were identified, of which 15 are specific to Omicron. BA.1 subvariants share nine common amino acid mutations (three more than BA.2) in the spike protein with most VOCs, suggesting a possible recombination origin of Omicron from these VOCs. There are three more Alpha-related mutations in BA.1 than BA.2, and BA.1 is phylogenetically closer to Alpha than other variants. Revertant mutations are found in some dominant mutations (frequency >95%) in the BA.1. Most notably, multiple characteristic amino acid mutations in the Delta spike protein have been also identified in the "Deltacron"-like Omicron Variants isolated since November 11, 2021 in South Africa, which implies the recombination events occurring between the Omicron and Delta variants. Monitoring the evolving SARS-CoV-2 genomes especially for recombination is critically important for recognition of abrupt changes to viral attributes including its epitopes which may call for vaccine modifications.
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Affiliation(s)
- Junxian Ou
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China.,BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China
| | - Wendong Lan
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China
| | - Xiaowei Wu
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China
| | - Tie Zhao
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China
| | - Biyan Duan
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China
| | - Peipei Yang
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China
| | - Yi Ren
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China
| | - Lulu Quan
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China
| | - Wei Zhao
- BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China
| | - Donald Seto
- Bioinformatics and Computational Biology Program, School of Systems Biology, George Mason University, Manassas, VA, 20110, USA
| | - James Chodosh
- Department of Ophthalmology, Howe Laboratory Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, 02114, USA
| | - Zhen Luo
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China.,Foshan Institute of Medical Microbiology, 528315, Foshan, China
| | - Jianguo Wu
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China. .,Foshan Institute of Medical Microbiology, 528315, Foshan, China.
| | - Qiwei Zhang
- Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, 510632, Guangzhou, China. .,BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, 510515, Guangzhou, China. .,Foshan Institute of Medical Microbiology, 528315, Foshan, China.
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24
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Yao H. Virtual Screening of Natural Chemical Databases to Search for Potential ACE2 Inhibitors. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27051740. [PMID: 35268841 PMCID: PMC8911956 DOI: 10.3390/molecules27051740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 11/25/2022]
Abstract
The angiotensin-converting enzyme II (ACE2) is a multifunctional protein in both health and disease conditions, which serves as a counterregulatory component of RAS function in a cardioprotective role. ACE2 modulation may also have relevance to ovarian cancer, diabetes, acute lung injury, fibrotic diseases, etc. Furthermore, since the outbreak of the coronavirus disease in 2019 (COVID-19), ACE2 has been recognized as the host receptor of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The receptor binding domain of the SARS-CoV-2 S-protein has a strong interaction with ACE2, so ACE2 may be a potent drug target to prevent the virus from invading host cells for anti-COVID-19 drug discovery. In this study, structure- and property-based virtual screening methods were combined to filter natural product databases from ChemDiv, TargetMol, and InterBioScreen to find potential ACE2 inhibitors. The binding affinity between protein and ligands was predicted using both Glide SP and XP scoring functions and the MM-GBSA method. ADME properties were also calculated to evaluate chemical drug-likeness. Then, molecular dynamics (MD) simulations were performed to further explore the binding modes between the highest-potential compounds and ACE2. Results showed that the compounds 154-23-4 and STOCK1N-07141 possess potential ACE2 inhibition activities and deserve further study.
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Affiliation(s)
- Huiping Yao
- Department of Obstetrics and Gynecology, The First Hospital of Lanzhou University, Lanzhou 730013, China
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25
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Matsuoka K, Imahashi N, Ohno M, Ode H, Nakata Y, Kubota M, Sugimoto A, Imahashi M, Yokomaku Y, Iwatani Y. SARS-CoV-2 accessory protein ORF8 is secreted extracellularly as a glycoprotein homodimer. J Biol Chem 2022; 298:101724. [PMID: 35157849 PMCID: PMC8832879 DOI: 10.1016/j.jbc.2022.101724] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/03/2022] [Accepted: 02/04/2022] [Indexed: 01/03/2023] Open
Abstract
ORF8 is an accessory protein encoded by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Consensus regarding the biological functions of ORF8 is lacking, largely because the fundamental characteristics of this protein in cells have not been determined. To clarify these features, we herein established an ORF8 expression system in 293T cells. Using this system, approximately 41% of the ORF8 expressed in 293T cells were secreted extracellularly as a glycoprotein homodimer with inter/intramolecular disulfide bonds. Intracellular ORF8 was sensitive to the glycosidase Endo H, whereas the secreted portion was Endo-H-resistant, suggesting that secretion occurs via a conventional pathway. Additionally, immunoblotting analysis showed that the total amounts of the major histocompatibility complex class Ι (MHC-I), angiotensin-converting enzyme 2 (ACE2), and SARS-CoV-2 spike (CoV-2 S) proteins coexpressed in cells were not changed by the increased ORF8 expression, although FACS analysis revealed that the expression of the cell surface MHC-I protein, but not that of ACE2 and CoV-2 S proteins, was reduced by ORF8 expression. Finally, we demonstrate by RNA-seq analysis that ORF8 had no significant stimulatory effects in human primary monocyte-derived macrophages (MDMs). Taken together, our results provide fundamental evidence that the ORF8 glycoprotein acts as a secreted homodimer, and its functions are likely associated with the intracellular transport and/or extracellular signaling in SARS-CoV-2 infection.
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Affiliation(s)
- Kazuhiro Matsuoka
- Department of Infectious Diseases and Immunology, Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi, Japan
| | - Nobuhiko Imahashi
- Department of Hematology, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi, Japan
| | - Miki Ohno
- Department of Infectious Diseases and Immunology, Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi, Japan
| | - Hirotaka Ode
- Department of Infectious Diseases and Immunology, Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi, Japan
| | - Yoshihiro Nakata
- Department of Infectious Diseases and Immunology, Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi, Japan; Department of AIDS Research, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Mai Kubota
- Department of Infectious Diseases and Immunology, Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi, Japan
| | - Atsuko Sugimoto
- Department of Infectious Diseases and Immunology, Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi, Japan
| | - Mayumi Imahashi
- Department of Infectious Diseases and Immunology, Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi, Japan
| | - Yoshiyuki Yokomaku
- Department of Infectious Diseases and Immunology, Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi, Japan
| | - Yasumasa Iwatani
- Department of Infectious Diseases and Immunology, Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi, Japan; Department of AIDS Research, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
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26
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Kettenburg G, Kistler A, Ranaivoson HC, Ahyong V, Andrianiaina A, Andry S, DeRisi JL, Gentles A, Raharinosy V, Randriambolamanantsoa TH, Ravelomanantsoa NAF, Tato CM, Dussart P, Heraud JM, Brook CE. Full Genome Nobecovirus Sequences From Malagasy Fruit Bats Define a Unique Evolutionary History for This Coronavirus Clade. Front Public Health 2022; 10:786060. [PMID: 35223729 PMCID: PMC8873168 DOI: 10.3389/fpubh.2022.786060] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 01/17/2022] [Indexed: 12/02/2022] Open
Abstract
Bats are natural reservoirs for both Alpha- and Betacoronaviruses and the hypothesized original hosts of five of seven known zoonotic coronaviruses. To date, the vast majority of bat coronavirus research has been concentrated in Asia, though coronaviruses are globally distributed; indeed, SARS-CoV and SARS-CoV-2-related Betacoronaviruses in the subgenus Sarbecovirus have been identified circulating in Rhinolophid bats in both Africa and Europe, despite the relative dearth of surveillance in these regions. As part of a long-term study examining the dynamics of potentially zoonotic viruses in three species of endemic Madagascar fruit bat (Pteropus rufus, Eidolon dupreanum, Rousettus madagascariensis), we carried out metagenomic Next Generation Sequencing (mNGS) on urine, throat, and fecal samples obtained from wild-caught individuals. We report detection of RNA derived from Betacoronavirus subgenus Nobecovirus in fecal samples from all three species and describe full genome sequences of novel Nobecoviruses in P. rufus and R. madagascariensis. Phylogenetic analysis indicates the existence of five distinct Nobecovirus clades, one of which is defined by the highly divergent ancestral sequence reported here from P. rufus bats. Madagascar Nobecoviruses derived from P. rufus and R. madagascariensis demonstrate, respectively, Asian and African phylogeographic origins, mirroring those of their fruit bat hosts. Bootscan recombination analysis indicates significant selection has taken place in the spike, nucleocapsid, and NS7 accessory protein regions of the genome for viruses derived from both bat hosts. Madagascar offers a unique phylogeographic nexus of bats and viruses with both Asian and African phylogeographic origins, providing opportunities for unprecedented mixing of viral groups and, potentially, recombination. As fruit bats are handled and consumed widely across Madagascar for subsistence, understanding the landscape of potentially zoonotic coronavirus circulation is essential for mitigation of future zoonotic threats.
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Affiliation(s)
- Gwenddolen Kettenburg
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
| | - Amy Kistler
- Chan Zuckerberg Biohub, San Francisco, CA, United States
| | - Hafaliana Christian Ranaivoson
- Department of Zoology and Animal Biodiversity, University of Antananarivo, Antananarivo, Madagascar
- Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Vida Ahyong
- Chan Zuckerberg Biohub, San Francisco, CA, United States
| | - Angelo Andrianiaina
- Department of Zoology and Animal Biodiversity, University of Antananarivo, Antananarivo, Madagascar
| | - Santino Andry
- Department of Entomology, University of Antananarivo, Antananarivo, Madagascar
| | | | - Anecia Gentles
- Odum School of Ecology, University of Georgia, Athens, GA, United States
| | | | | | | | | | - Philippe Dussart
- Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Jean-Michel Heraud
- Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
| | - Cara E. Brook
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
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27
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Fong SW, Yeo NKW, Chan YH, Goh YS, Amrun SN, Ang N, Rajapakse MP, Lum J, Foo S, Lee CYP, Carissimo G, Chee RSL, Torres-Ruesta A, Tay MZ, Chang ZW, Poh CM, Young BE, Tambyah PA, Kalimuddin S, Leo YS, Lye DC, Lee B, Biswas S, Howland SW, Renia L, Ng LFP. Robust Virus-Specific Adaptive Immunity in COVID-19 Patients with SARS-CoV-2 Δ382 Variant Infection. J Clin Immunol 2022; 42:214-229. [PMID: 34716845 PMCID: PMC8556776 DOI: 10.1007/s10875-021-01142-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 09/17/2021] [Indexed: 01/08/2023]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) that have become dominant as the pandemic progresses bear the ORF8 mutation together with multiple spike mutations. A 382-nucleotide deletion (Δ382) in the ORF7b and ORF8 regions has been associated with milder disease phenotype and less systemic inflammation in COVID-19 patients. However, its impact on host immunity against SARS-CoV-2 remains undefined. Here, RNA-sequencing was performed to elucidate whole blood transcriptomic profiles and identify contrasting immune signatures between patients infected with either wildtype or Δ382 SARS-CoV-2 variant. Interestingly, the immune landscape of Δ382 SARS-CoV-2 infected patients featured an increased adaptive immune response, evidenced by enrichment of genes related to T cell functionality, a more robust SARS-CoV-2-specific T cell immunity, as well as a more rapid antibody response. At the molecular level, eukaryotic initiation factor 2 signaling was found to be upregulated in patients bearing Δ382, and its associated genes were correlated with systemic levels of T cell-associated and pro-inflammatory cytokines. This study provides more in-depth insight into the host-pathogen interactions of ORF8 with great promise as a therapeutic target to combat SARS-CoV-2 infection.
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Affiliation(s)
- Siew-Wai Fong
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Nicholas Kim-Wah Yeo
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Yi-Hao Chan
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Yun Shan Goh
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Siti Naqiah Amrun
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Nicholas Ang
- Singapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | | | - Josephine Lum
- Singapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Shihui Foo
- Singapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Cheryl Yi-Pin Lee
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Guillaume Carissimo
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Rhonda Sin-Ling Chee
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Anthony Torres-Ruesta
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
| | - Matthew Zirui Tay
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Zi Wei Chang
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Chek Meng Poh
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Barnaby Edward Young
- National Centre for Infectious Diseases, Singapore City, Singapore
- Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore City, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore City, Singapore
| | - Paul A Tambyah
- National Centre for Infectious Diseases, Singapore City, Singapore
- Department of Medicine, National University Hospital, Singapore City, Singapore
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
| | - Shirin Kalimuddin
- Department of Infectious Diseases, Singapore General Hospital, Singapore City, Singapore
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore City, Singapore
| | - Yee-Sin Leo
- National Centre for Infectious Diseases, Singapore City, Singapore
- Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore City, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore City, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore City, Singapore
| | - David C Lye
- National Centre for Infectious Diseases, Singapore City, Singapore
- Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore City, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore City, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore City, Singapore
| | - Bernett Lee
- Singapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Subhra Biswas
- Singapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Shanshan Wu Howland
- Singapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Laurent Renia
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
- Singapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
| | - Lisa F P Ng
- A*STAR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore.
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore.
- NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool, UK.
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
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Alkhovsky S, Lenshin S, Romashin A, Vishnevskaya T, Vyshemirsky O, Bulycheva Y, Lvov D, Gitelman A. SARS-like Coronaviruses in Horseshoe Bats ( Rhinolophus spp.) in Russia, 2020. Viruses 2022; 14:v14010113. [PMID: 35062318 PMCID: PMC8779456 DOI: 10.3390/v14010113] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/24/2021] [Accepted: 01/06/2022] [Indexed: 02/05/2023] Open
Abstract
We found and genetically described two novel SARS-like coronaviruses in feces and oral swabs of the greater (R. ferrumequinum) and the lesser (R. hipposideros) horseshoe bats in southern regions of Russia. The viruses, named Khosta-1 and Khosta-2, together with related viruses from Bulgaria and Kenya, form a separate phylogenetic lineage. We found evidence of recombination events in the evolutionary history of Khosta-1, which involved the acquisition of the structural proteins S, E, and M, as well as the nonstructural genes ORF3, ORF6, ORF7a, and ORF7b, from a virus that is related to the Kenyan isolate BtKY72. The examination of bats by RT-PCR revealed that 62.5% of the greater horseshoe bats in one of the caves were positive for Khosta-1 virus, while its overall prevalence was 14%. The prevalence of Khosta-2 was 1.75%. Our results show that SARS-like coronaviruses circulate in horseshoe bats in the region, and we provide new data on their genetic diversity.
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Affiliation(s)
- Sergey Alkhovsky
- D.I. Ivanovsky Institute of Virology of N.F. Gamleya National Center for Epidemiology and Microbiology of Ministry of Health of Russian Federation, 18 Gamaleya Street, 123098 Moscow, Russia; (T.V.); (Y.B.); (D.L.); (A.G.)
- Reference Center on Coronavirus Infection of N.F. Gamleya National Center for Epidemiology and Microbiology of Ministry of Health of Russian Federation, 18 Gamaleya Street, 123098 Moscow, Russia
- Correspondence:
| | - Sergey Lenshin
- Scientific Research Institute of Medical Primatology of Russian Academy of Science, 177 Mira Street, Veseoloe Village, 354376 Sochi, Russia; (S.L.); (O.V.)
| | - Alexey Romashin
- Federal State Budgetary Institution Sochi National Park of Ministry of Natural Resources and Environment of Russian Federation, 74 Kurortniy Avenue, 354002 Sochi, Russia;
| | - Tatyana Vishnevskaya
- D.I. Ivanovsky Institute of Virology of N.F. Gamleya National Center for Epidemiology and Microbiology of Ministry of Health of Russian Federation, 18 Gamaleya Street, 123098 Moscow, Russia; (T.V.); (Y.B.); (D.L.); (A.G.)
- Reference Center on Coronavirus Infection of N.F. Gamleya National Center for Epidemiology and Microbiology of Ministry of Health of Russian Federation, 18 Gamaleya Street, 123098 Moscow, Russia
| | - Oleg Vyshemirsky
- Scientific Research Institute of Medical Primatology of Russian Academy of Science, 177 Mira Street, Veseoloe Village, 354376 Sochi, Russia; (S.L.); (O.V.)
| | - Yulia Bulycheva
- D.I. Ivanovsky Institute of Virology of N.F. Gamleya National Center for Epidemiology and Microbiology of Ministry of Health of Russian Federation, 18 Gamaleya Street, 123098 Moscow, Russia; (T.V.); (Y.B.); (D.L.); (A.G.)
| | - Dmitry Lvov
- D.I. Ivanovsky Institute of Virology of N.F. Gamleya National Center for Epidemiology and Microbiology of Ministry of Health of Russian Federation, 18 Gamaleya Street, 123098 Moscow, Russia; (T.V.); (Y.B.); (D.L.); (A.G.)
| | - Asya Gitelman
- D.I. Ivanovsky Institute of Virology of N.F. Gamleya National Center for Epidemiology and Microbiology of Ministry of Health of Russian Federation, 18 Gamaleya Street, 123098 Moscow, Russia; (T.V.); (Y.B.); (D.L.); (A.G.)
- Reference Center on Coronavirus Infection of N.F. Gamleya National Center for Epidemiology and Microbiology of Ministry of Health of Russian Federation, 18 Gamaleya Street, 123098 Moscow, Russia
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Amoutzias GD, Nikolaidis M, Tryfonopoulou E, Chlichlia K, Markoulatos P, Oliver SG. The Remarkable Evolutionary Plasticity of Coronaviruses by Mutation and Recombination: Insights for the COVID-19 Pandemic and the Future Evolutionary Paths of SARS-CoV-2. Viruses 2022; 14:78. [PMID: 35062282 PMCID: PMC8778387 DOI: 10.3390/v14010078] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 12/22/2021] [Accepted: 12/31/2021] [Indexed: 12/13/2022] Open
Abstract
Coronaviruses (CoVs) constitute a large and diverse subfamily of positive-sense single-stranded RNA viruses. They are found in many mammals and birds and have great importance for the health of humans and farm animals. The current SARS-CoV-2 pandemic, as well as many previous epidemics in humans that were of zoonotic origin, highlights the importance of studying the evolution of the entire CoV subfamily in order to understand how novel strains emerge and which molecular processes affect their adaptation, transmissibility, host/tissue tropism, and patho non-homologous genicity. In this review, we focus on studies over the last two years that reveal the impact of point mutations, insertions/deletions, and intratypic/intertypic homologous and non-homologous recombination events on the evolution of CoVs. We discuss whether the next generations of CoV vaccines should be directed against other CoV proteins in addition to or instead of spike. Based on the observed patterns of molecular evolution for the entire subfamily, we discuss five scenarios for the future evolutionary path of SARS-CoV-2 and the COVID-19 pandemic. Finally, within this evolutionary context, we discuss the recently emerged Omicron (B.1.1.529) VoC.
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Affiliation(s)
- Grigorios D. Amoutzias
- Bioinformatics Laboratory, Department of Biochemistry and Biotechnology, University of Thessaly, 41500 Larissa, Greece;
| | - Marios Nikolaidis
- Bioinformatics Laboratory, Department of Biochemistry and Biotechnology, University of Thessaly, 41500 Larissa, Greece;
| | - Eleni Tryfonopoulou
- Laboratory of Molecular Immunology, Department of Molecular Biology and Genetics, Democritus University of Thrace, University Campus-Dragana, 68100 Alexandroupolis, Greece; (E.T.); (K.C.)
| | - Katerina Chlichlia
- Laboratory of Molecular Immunology, Department of Molecular Biology and Genetics, Democritus University of Thrace, University Campus-Dragana, 68100 Alexandroupolis, Greece; (E.T.); (K.C.)
| | - Panayotis Markoulatos
- Microbial Biotechnology-Molecular Bacteriology-Virology Laboratory, Department of Biochemistry and Biotechnology, University of Thessaly, 41500 Larissa, Greece;
| | - Stephen G. Oliver
- Department of Biochemistry, University of Cambridge, Sanger Building, 80 Tennis Court Road, Cambridge CB2 1GA, UK
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30
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Khadka B, Gupta RS. Conserved molecular signatures in the spike protein provide evidence indicating the origin of SARS-CoV-2 and a Pangolin-CoV (MP789) by recombination(s) between specific lineages of Sarbecoviruses. PeerJ 2021; 9:e12434. [PMID: 35028194 PMCID: PMC8592051 DOI: 10.7717/peerj.12434] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 10/14/2021] [Indexed: 01/01/2023] Open
Abstract
Both SARS-CoV-2 and SARS coronaviruses (CoVs) are members of the subgenus Sarbecovirus. To understand the origin of SARS-CoV-2, sequences for the spike and nucleocapsid proteins from sarbecoviruses were analyzed to identify molecular markers consisting of conserved inserts or deletions (termed CSIs) that are specific for either a particular clade of Sarbecovirus or are commonly shared by two or more clades of these viruses. Three novel CSIs in the N-terminal domain (NTD) of the spike protein S1-subunit (S1-NTD) are uniquely shared by SARS-CoV-2, Bat-CoV-RaTG13 and most pangolin CoVs (SARS-CoV-2r clade). Three other sarbecoviruses viz. bat-CoVZXC21, -CoVZC45 and -PrC31 (forming CoVZC/PrC31 clade), and a pangolin-CoV_MP789 also contain related CSIs in the same positions. In contrast to the S1-NTD, both SARS and SARS-CoV-2r viruses contain two large CSIs in the S1-C-terminal domain (S1-CTD) that are absent in the CoVZC/PrC31 clade. One of these CSIs, consisting of a 12 aa insert, is also present in the RShSTT clade (Cambodia-CoV strains). Sequence similarity studies show that the S1-NTD of SARS-CoV-2r viruses is most similar to the CoVZC/PrC31 clade, whereas their S1-CTD exhibits highest similarity to the RShSTT- (and the SARS-related) CoVs. Results from the shared presence of CSIs and sequence similarity studies on different CoV lineages support the inference that the SARS-CoV-2r cluster of viruses has originated by a genetic recombination between the S1-NTD of the CoVZC/PrC31 clade of CoVs and the S1-CTD of RShSTT/SARS viruses, respectively. We also present compelling evidence, based on the shared presence of CSIs and sequence similarity studies, that the pangolin-CoV_MP789, whose receptor-binding domain is most similar to the SARS-CoV-2 virus, has resulted from another independent recombination event involving the S1-NTD of the CoVZC/PrC31 CoVs and the S1-CTD of an unidentified SARS-CoV-2r related virus. The SARS-CoV-2 virus involved in this latter recombination event is postulated to be most similar to the SARS-CoV-2. Several other CSIs reported here are specific for other clusters of sarbecoviruses including a clade consisting of bat-SARS-CoVs (BM48-31/BGR/2008 and SARS_BtKY72). Structural mapping studies show that the identified CSIs form distinct loops/patches on the surface of the spike protein. It is hypothesized that these novel loops/patches on the spike protein, through their interactions with other host components, should play important roles in the biology/pathology of SARS-CoV-2 virus. Lastly, the CSIs specific for different clades of sarbecoviruses including SARS-CoV-2r clade provide novel means for the identification of these viruses and other potential applications.
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Affiliation(s)
- Bijendra Khadka
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Canada
| | - Radhey S. Gupta
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
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31
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Wong ACP, Lau SKP, Woo PCY. Interspecies Jumping of Bat Coronaviruses. Viruses 2021; 13:2188. [PMID: 34834994 PMCID: PMC8620431 DOI: 10.3390/v13112188] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 10/27/2021] [Accepted: 10/28/2021] [Indexed: 12/15/2022] Open
Abstract
In the last two decades, several coronavirus (CoV) interspecies jumping events have occurred between bats and other animals/humans, leading to major epidemics/pandemics and high fatalities. The SARS epidemic in 2002/2003 had a ~10% fatality. The discovery of SARS-related CoVs in horseshoe bats and civets and genomic studies have confirmed bat-to-civet-to-human transmission. The MERS epidemic that emerged in 2012 had a ~35% mortality, with dromedaries as the reservoir. Although CoVs with the same genome organization (e.g., Tylonycteris BatCoV HKU4 and Pipistrellus BatCoV HKU5) were also detected in bats, there is still a phylogenetic gap between these bat CoVs and MERS-CoV. In 2016, 10 years after the discovery of Rhinolophus BatCoV HKU2 in Chinese horseshoe bats, fatal swine disease outbreaks caused by this virus were reported in southern China. In late 2019, an outbreak of pneumonia emerged in Wuhan, China, and rapidly spread globally, leading to >4,000,000 fatalities so far. Although the genome of SARS-CoV-2 is highly similar to that of SARS-CoV, patient zero and the original source of the pandemic are still unknown. To protect humans from future public health threats, measures should be taken to monitor and reduce the chance of interspecies jumping events, either occurring naturally or through recombineering experiments.
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Affiliation(s)
| | - Susanna K. P. Lau
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China;
| | - Patrick C. Y. Woo
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China;
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32
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Kumar N, Kaushik R, Tennakoon C, Uversky VN, Mishra A, Sood R, Srivastava P, Tripathi M, Zhang KYJ, Bhatia S. Evolutionary Signatures Governing the Codon Usage Bias in Coronaviruses and Their Implications for Viruses Infecting Various Bat Species. Viruses 2021; 13:1847. [PMID: 34578428 PMCID: PMC8473330 DOI: 10.3390/v13091847] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/13/2021] [Accepted: 09/15/2021] [Indexed: 12/11/2022] Open
Abstract
Many viruses that cause serious diseases in humans and animals, including the betacoronaviruses (beta-CoVs), such as SARS-CoV, MERS-CoV, and the recently identified SARS-CoV-2, have natural reservoirs in bats. Because these viruses rely entirely on the host cellular machinery for survival, their evolution is likely to be guided by the link between the codon usage of the virus and that of its host. As a result, specific cellular microenvironments of the diverse hosts and/or host tissues imprint peculiar molecular signatures in virus genomes. Our study is aimed at deciphering some of these signatures. Using a variety of genetic methods we demonstrated that trends in codon usage across chiroptera-hosted CoVs are collaboratively driven by geographically different host-species and temporal-spatial distribution. We not only found that chiroptera-hosted CoVs are the ancestors of SARS-CoV-2, but we also revealed that SARS-CoV-2 has the codon usage characteristics similar to those seen in CoVs infecting the Rhinolophus sp. Surprisingly, the envelope gene of beta-CoVs infecting Rhinolophus sp., including SARS-CoV-2, had extremely high CpG levels, which appears to be an evolutionarily conserved trait. The dissection of the furin cleavage site of various CoVs infecting hosts revealed host-specific preferences for arginine codons; however, arginine is encoded by a wider variety of synonymous codons in the murine CoV (MHV-A59) furin cleavage site. Our findings also highlight the latent diversity of CoVs in mammals that has yet to be fully explored.
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Affiliation(s)
- Naveen Kumar
- Zoonotic Diseases Group, ICAR—National Institute of High Security Animal Diseases, Bhopal 462022, India; (A.M.); (R.S.); (P.S.); (M.T.); (S.B.)
| | - Rahul Kaushik
- Laboratory for Structural Bioinformatics, Center for Biosystems Dynamics Research, RIKEN, 1-7-22 Suehiro, Yokohama, Kanagawa 230-0045, Japan; (R.K.); (K.Y.J.Z.)
| | - Chandana Tennakoon
- Bioinformatics, Sequencing & Proteomics Group, The Pirbright Institute, Woking GU24 0NF, UK;
| | - Vladimir N. Uversky
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA;
- Institute for Biological Instrumentation of the Russian Academy of Sciences, Federal Research Center ‘Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences’, Moscow Region, 142290 Pushchino, Russia
| | - Anamika Mishra
- Zoonotic Diseases Group, ICAR—National Institute of High Security Animal Diseases, Bhopal 462022, India; (A.M.); (R.S.); (P.S.); (M.T.); (S.B.)
| | - Richa Sood
- Zoonotic Diseases Group, ICAR—National Institute of High Security Animal Diseases, Bhopal 462022, India; (A.M.); (R.S.); (P.S.); (M.T.); (S.B.)
| | - Pratiksha Srivastava
- Zoonotic Diseases Group, ICAR—National Institute of High Security Animal Diseases, Bhopal 462022, India; (A.M.); (R.S.); (P.S.); (M.T.); (S.B.)
| | - Meghna Tripathi
- Zoonotic Diseases Group, ICAR—National Institute of High Security Animal Diseases, Bhopal 462022, India; (A.M.); (R.S.); (P.S.); (M.T.); (S.B.)
| | - Kam Y. J. Zhang
- Laboratory for Structural Bioinformatics, Center for Biosystems Dynamics Research, RIKEN, 1-7-22 Suehiro, Yokohama, Kanagawa 230-0045, Japan; (R.K.); (K.Y.J.Z.)
| | - Sandeep Bhatia
- Zoonotic Diseases Group, ICAR—National Institute of High Security Animal Diseases, Bhopal 462022, India; (A.M.); (R.S.); (P.S.); (M.T.); (S.B.)
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33
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Pollett S, Conte MA, Sanborn M, Jarman RG, Lidl GM, Modjarrad K, Maljkovic Berry I. A comparative recombination analysis of human coronaviruses and implications for the SARS-CoV-2 pandemic. Sci Rep 2021; 11:17365. [PMID: 34462471 PMCID: PMC8405798 DOI: 10.1038/s41598-021-96626-8] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 08/09/2021] [Indexed: 11/11/2022] Open
Abstract
The SARS-CoV-2 pandemic prompts evaluation of recombination in human coronavirus (hCoV) evolution. We undertook recombination analyses of 158,118 public seasonal hCoV, SARS-CoV-1, SARS-CoV-2 and MERS-CoV genome sequences using the RDP4 software. We found moderate evidence for 8 SARS-CoV-2 recombination events, two of which involved the spike gene, and low evidence for one SARS-CoV-1 recombination event. Within MERS-CoV, 229E, OC43, NL63 and HKU1 datasets, we noted 7, 1, 9, 14, and 1 high-confidence recombination events, respectively. There was propensity for recombination breakpoints in the non-ORF1 region of the genome containing structural genes, and recombination severely skewed the temporal structure of these data, especially for NL63 and OC43. Bayesian time-scaled analyses on recombinant-free data indicated the sampled diversity of seasonal CoVs emerged in the last 70 years, with 229E displaying continuous lineage replacements. These findings emphasize the importance of genomic based surveillance to detect recombination in SARS-CoV-2, particularly if recombination may lead to immune evasion.
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Affiliation(s)
- Simon Pollett
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA
| | - Matthew A Conte
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Mark Sanborn
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Richard G Jarman
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Grace M Lidl
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Kayvon Modjarrad
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Irina Maljkovic Berry
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA.
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34
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Hakim A, Hasan MM, Hasan M, Lokman SM, Azim KF, Raihan T, Chowdhury PA, Azad AK. Major Insights in Dynamics of Host Response to SARS-CoV-2: Impacts and Challenges. Front Microbiol 2021; 12:637554. [PMID: 34512561 PMCID: PMC8424194 DOI: 10.3389/fmicb.2021.637554] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 07/28/2021] [Indexed: 01/08/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19), a pandemic declared by the World Health Organization on March 11, 2020, is caused by the infection of highly transmissible species of a novel coronavirus called severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). As of July 25, 2021, there are 194,372,584 cases and 4,167,937 deaths with high variability in clinical manifestations, disease burden, and post-disease complications among different people around the globe. Overall, COVID-19 is manifested as mild to moderate in almost 90% of the cases and only the rest 10% of the cases need hospitalization. However, patients with older age and those having different comorbidities have made worst the pandemic scenario. The variability of pathological consequences and clinical manifestations of COVID-19 is associated with differential host-SARS-CoV-2 interactions, which are influenced by the factors that originated from the SARS-CoV-2 and the host. These factors usually include the genomic attributes and virulent factors of the SARS-CoV-2, the burden of coinfection with other viruses and bacteria, age and gender of the individuals, different comorbidities, immune suppressions/deficiency, genotypes of major histocompatibility complex, and blood group antigens and antibodies. We herein retrieved and reviewed literatures from PubMed, Scopus, and Google relevant to clinical complications and pathogenesis of COVID-19 among people of different age, sex, and geographical locations; genomic characteristics of SARS-CoV-2 including its variants, host response under different variables, and comorbidities to summarize the dynamics of the host response to SARS-CoV-2 infection; and host response toward approved vaccines and treatment strategies against COVID-19. After reviewing a large number of published articles covering different aspects of host response to SARS-CoV-2, it is clear that one aspect from one region is not working with the scenario same to others, as studies have been done separately with a very small number of cases from a particular area/region of a country. Importantly, to combat such a pandemic as COVID-19, a conclusive understanding of the disease dynamics is required. This review emphasizes on the identification of the factors influencing the dynamics of host responses to SARS-CoV-2 and offers a future perspective to explore the molecular insights of COVID-19.
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Affiliation(s)
- Al Hakim
- Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | - Md. Mahbub Hasan
- Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chittagong, Bangladesh
- Institute of Pharmaceutical Science, School of Cancer and Pharmaceutical Sciences, King’s College London, Franklin-Wilkins Building, London, United Kingdom
| | - Mahmudul Hasan
- Department of Pharmaceutical and Industrial Biotechnology, Sylhet Agricultural University, Sylhet, Bangladesh
| | - Syed Mohammad Lokman
- Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chittagong, Bangladesh
| | - Kazi Faizul Azim
- Department of Microbial Biotechnology, Faculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet, Bangladesh
| | - Topu Raihan
- Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | | | - Abul Kalam Azad
- Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh
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Singh J, Pandit P, McArthur AG, Banerjee A, Mossman K. Evolutionary trajectory of SARS-CoV-2 and emerging variants. Virol J 2021; 18:166. [PMID: 34389034 PMCID: PMC8361246 DOI: 10.1186/s12985-021-01633-w] [Citation(s) in RCA: 90] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 08/03/2021] [Indexed: 12/17/2022] Open
Abstract
The emergence of a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and more recently, the independent evolution of multiple SARS-CoV-2 variants has generated renewed interest in virus evolution and cross-species transmission. While all known human coronaviruses (HCoVs) are speculated to have originated in animals, very little is known about their evolutionary history and factors that enable some CoVs to co-exist with humans as low pathogenic and endemic infections (HCoV-229E, HCoV-NL63, HCoV-OC43, HCoV-HKU1), while others, such as SARS-CoV, MERS-CoV and SARS-CoV-2 have evolved to cause severe disease. In this review, we highlight the origins of all known HCoVs and map positively selected for mutations within HCoV proteins to discuss the evolutionary trajectory of SARS-CoV-2. Furthermore, we discuss emerging mutations within SARS-CoV-2 and variants of concern (VOC), along with highlighting the demonstrated or speculated impact of these mutations on virus transmission, pathogenicity, and neutralization by natural or vaccine-mediated immunity.
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Affiliation(s)
- Jalen Singh
- School of Interdisciplinary Science, McMaster University, Hamilton, ON, Canada
| | - Pranav Pandit
- EpiCenter for Disease Dynamics, One Health Institute, School of Veterinary Medicine, University of California Davis, Davis, CA, USA
| | - Andrew G McArthur
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON, Canada
| | - Arinjay Banerjee
- Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, SK, Canada.
- Department of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
- Department of Biology, University of Waterloo, Waterloo, ON, Canada.
| | - Karen Mossman
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON, Canada.
- Department of Medicine, McMaster University, Hamilton, ON, Canada.
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON, Canada.
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Kim C, Mahasenan KV, Bhardwaj A, Wiest O, Chang M, Mobashery S. Production of Proteins of the SARS-CoV-2 Proteome for Drug Discovery. ACS OMEGA 2021; 6:19983-19994. [PMID: 34337272 PMCID: PMC8315141 DOI: 10.1021/acsomega.1c02984] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 07/06/2021] [Indexed: 05/09/2023]
Abstract
The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the causative agent of the coronavirus disease of 2019 (COVID-19). Its genome encodes two open reading frames for two large proteins, PP1a and PP1ab. Within the two polypeptide stretches, there are two proteases that process the large proteins into 15 discrete proteins essential for the assembly of the virion during its replication. We describe herein the cloning of the genes for these discrete proteins optimized for expression in Escherichia coli, production of the proteins, and their purification to homogeneity. These included all but six: NSP6, which possesses eight transmembrane regions, and five that are small proteins/peptides (E, ORF3b, ORF6, ORF7b, and ORF10). These proteins are intended for experimental validation of small-molecule binders as molecular template hits. The proof of concept was established with the ADP-ribosylhydrolase (ARH) domain of NSP3 in discovery of small-molecule templates that could serve as the basis for further optimization. The hit molecules include one submicromolar and a few low-micromolar binders to the ARH domain. Availability of these proteins in soluble forms opens up the opportunity for discoveries of novel templates with the potential for anti-COVID-19 pharmaceuticals.
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Chazal N. Coronavirus, the King Who Wanted More Than a Crown: From Common to the Highly Pathogenic SARS-CoV-2, Is the Key in the Accessory Genes? Front Microbiol 2021; 12:682603. [PMID: 34335504 PMCID: PMC8317507 DOI: 10.3389/fmicb.2021.682603] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 06/22/2021] [Indexed: 12/14/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), that emerged in late 2019, is the etiologic agent of the current "coronavirus disease 2019" (COVID-19) pandemic, which has serious health implications and a significant global economic impact. Of the seven human coronaviruses, all of which have a zoonotic origin, the pandemic SARS-CoV-2, is the third emerging coronavirus, in the 21st century, highly pathogenic to the human population. Previous human coronavirus outbreaks (SARS-CoV-1 and MERS-CoV) have already provided several valuable information on some of the common molecular and cellular mechanisms of coronavirus infections as well as their origin. However, to meet the new challenge caused by the SARS-CoV-2, a detailed understanding of the biological specificities, as well as knowledge of the origin are crucial to provide information on viral pathogenicity, transmission and epidemiology, and to enable strategies for therapeutic interventions and drug discovery. Therefore, in this review, we summarize the current advances in SARS-CoV-2 knowledges, in light of pre-existing information of other recently emerging coronaviruses. We depict the specificity of the immune response of wild bats and discuss current knowledge of the genetic diversity of bat-hosted coronaviruses that promotes viral genome expansion (accessory gene acquisition). In addition, we describe the basic virology of coronaviruses with a special focus SARS-CoV-2. Finally, we highlight, in detail, the current knowledge of genes and accessory proteins which we postulate to be the major keys to promote virus adaptation to specific hosts (bat and human), to contribute to the suppression of immune responses, as well as to pathogenicity.
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Affiliation(s)
- Nathalie Chazal
- Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, CNRS, Montpellier, France
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Srivastava V, Ahmad A. New perspective towards therapeutic regimen against SARS-CoV-2 infection. J Infect Public Health 2021; 14:852-862. [PMID: 34118735 PMCID: PMC8152204 DOI: 10.1016/j.jiph.2021.05.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 05/05/2021] [Accepted: 05/16/2021] [Indexed: 12/23/2022] Open
Abstract
The ongoing enormous loss of human life owing to Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), has led to a global crisis ranging from the collapse of health - care systems to socio-economic instability. As SARS-CoV-2 is a novel virus, very little information is available from researchers and therefore, a rigorous effort is required to decode its pathogenicity. There are no licenced treatment options available for treating SARS-CoV-2 infections and the development of a new antiviral drug targeting coronavirus cannot happen soon. Consequently, drug repurposing is a promising solution for combating the present pandemic. In this review, we have thoroughly discussed all the proteins encoded by the SARS-CoV-2 genome; their importance in pathogenicity and their potential role in drug discovery. Also, the budding threat of co-infections by other pathogenic microbes has been highlighted. Furthermore, the advances made in the medicinal field for the treatment and prevention of this viral infection is explained. Altogether, this review will provide some insightful discussions about this infectious disease and will meet certain of the knowledge gaps which exist by presenting an exhaustive and extensive scientific report on the ongoing mission for COVID-19 drug discovery.
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Affiliation(s)
- Vartika Srivastava
- Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa
| | - Aijaz Ahmad
- Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa; Infection Control, Charlotte Maxeke Johannesburg Academic Hospital, National Health Laboratory Service, Johannesburg, 2193, South Africa.
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Goldstein SA, Brown J, Pedersen BS, Quinlan AR, Elde NC. Extensive recombination-driven coronavirus diversification expands the pool of potential pandemic pathogens. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021:2021.02.03.429646. [PMID: 33564759 PMCID: PMC7872347 DOI: 10.1101/2021.02.03.429646] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The ongoing SARS-CoV-2 pandemic is the third zoonotic coronavirus identified in the last twenty years. Enzootic and epizootic coronaviruses of diverse lineages also pose a significant threat to livestock, as most recently observed for virulent strains of porcine epidemic diarrhea virus (PEDV) and swine acute diarrhea-associated coronavirus (SADS-CoV). Unique to RNA viruses, coronaviruses encode a proofreading exonuclease (ExoN) that lowers point mutation rates to increase the viability of large RNA virus genomes, which comes with the cost of limiting virus adaptation via point mutation. This limitation can be overcome by high rates of recombination that facilitate rapid increases in genetic diversification. To compare dynamics of recombination between related sequences, we developed an open-source computational workflow (IDPlot) to measure nucleotide identity, locate recombination breakpoints, and infer phylogenetic relationships. We analyzed recombination dynamics among three groups of coronaviruses with noteworthy impacts on human health and agriculture: SARSr-CoV, Betacoronavirus-1, and SADSr-CoV. We found that all three groups undergo recombination with highly diverged viruses from sparsely sampled or undescribed lineages, which can disrupt the inference of phylogenetic relationships. In most cases, no parental origin of recombinant regions could be found in genetic databases, suggesting that much coronavirus diversity remains unknown. These patterns of recombination expand the genetic pool that may contribute to future zoonotic events. Our results also illustrate the limitations of current sampling approaches for anticipating zoonotic threats to human and animal health.
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Affiliation(s)
| | - Joe Brown
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
| | - Brent S. Pedersen
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
| | - Aaron R. Quinlan
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
| | - Nels C. Elde
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
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Shi Z. [From SARS, MERS to COVID-19: A journey to understand bat coronaviruses]. BULLETIN DE L ACADEMIE NATIONALE DE MEDECINE 2021; 205:732-736. [PMID: 34075253 PMCID: PMC8162021 DOI: 10.1016/j.banm.2021.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 03/22/2021] [Indexed: 01/12/2023]
Abstract
From the beginning of this century, three coronaviruses (CoVs) have caused severe human respiratory diseases, including severe respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) and corona virus disease 2019 (COVID-19), which outbroke in 2002-2003, 2012 and 2019-2020, respectively. These viruses are three different species belonging to Coronaviridae family, Betacoronavirus genus. Discovery of closely-related CoVs in bats indicates that bats are natural reservoirs of these viruses. How and when the bat CoVs cross-species barriers to infect humans are largely understudied. This article provides an overview of the distribution, genetic evolution and interspecies transmission of bat coronaviruses in China, particularly focusing on bat SARS-related CoVs (SARSr-CoVs). Our studies showed that SARS-related CoVs are highly prevalent in horseshoe bats and some of them use the same receptor as SARS-CoV and SARS-CoV-2 and have wide cell tissue tropism. However, these bat viruses seem to be low pathogenic in human ACE2 transgenic mice compared with the SARS-CoV-2. These results imply that these bat CoVs have potential interspecies transmission to other animals and humans. Our work highlights the necessity of preparedness for future emerging infectious diseases caused by these CoVs.
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Affiliation(s)
- Zhengli Shi
- CAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Chinese Academy of Sciences, 430071 Wuhan, China
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Jelinek HF, Mousa M, Alefishat E, Osman W, Spence I, Bu D, Feng SF, Byrd J, Magni PA, Sahibzada S, Tay GK, Alsafar HS. Evolution, Ecology, and Zoonotic Transmission of Betacoronaviruses: A Review. Front Vet Sci 2021; 8:644414. [PMID: 34095271 PMCID: PMC8173069 DOI: 10.3389/fvets.2021.644414] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 03/25/2021] [Indexed: 12/18/2022] Open
Abstract
Coronavirus infections have been a part of the animal kingdom for millennia. The difference emerging in the twenty-first century is that a greater number of novel coronaviruses are being discovered primarily due to more advanced technology and that a greater number can be transmitted to humans, either directly or via an intermediate host. This has a range of effects from annual infections that are mild to full-blown pandemics. This review compares the zoonotic potential and relationship between MERS, SARS-CoV, and SARS-CoV-2. The role of bats as possible host species and possible intermediate hosts including pangolins, civets, mink, birds, and other mammals are discussed with reference to mutations of the viral genome affecting zoonosis. Ecological, social, cultural, and environmental factors that may play a role in zoonotic transmission are considered with reference to SARS-CoV, MERS, and SARS-CoV-2 and possible future zoonotic events.
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Affiliation(s)
- Herbert F. Jelinek
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Biomedical Engineering, College of Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Center of Heath Engineering Innovation, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Mira Mousa
- Nuffield Department of Women's and Reproduction Health, Oxford University, Oxford, United Kingdom
| | - Eman Alefishat
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Pharmacology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, The University of Jordan, Amman, Jordan
| | - Wael Osman
- Department of Chemistry, College of Arts and Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Ian Spence
- Discipline of Pharmacology, University of Sydney, Sydney, NSW, Australia
| | - Dengpan Bu
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Samuel F. Feng
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Mathematics, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Jason Byrd
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, United States
| | - Paola A. Magni
- Discipline of Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, WA, Australia
- Murdoch University Singapore, King's Centre, Singapore, Singapore
| | - Shafi Sahibzada
- Antimicrobial Resistance and Infectious Diseases Laboratory, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, Australia
| | - Guan K. Tay
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Division of Psychiatry, Faculty of Health and Medical Sciences, The University of Western Australia, Crawley, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Habiba S. Alsafar
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Biomedical Engineering, College of Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Department of Genetics and Molecular Biology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
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Huang K, Zhang Y, Hui X, Zhao Y, Gong W, Wang T, Zhang S, Yang Y, Deng F, Zhang Q, Chen X, Yang Y, Sun X, Chen H, Tao YJ, Zou Z, Jin M. Q493K and Q498H substitutions in Spike promote adaptation of SARS-CoV-2 in mice. EBioMedicine 2021; 67:103381. [PMID: 33993052 PMCID: PMC8118724 DOI: 10.1016/j.ebiom.2021.103381] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/16/2021] [Accepted: 04/19/2021] [Indexed: 01/24/2023] Open
Abstract
Background An ideal animal model to study SARS-coronavirus 2 (SARS-CoV-2) pathogenesis and evaluate therapies and vaccines should reproduce SARS-CoV-2 infection and recapitulate lung disease like those seen in humans. The angiotensin-converting enzyme 2 (ACE2) is a functional receptor for SARS-CoV-2, but mice are resistant to the infection because their ACE2 is incompatible with the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein . Methods SARS-CoV-2 was passaged in BALB/c mice to obtain mouse-adapted virus strain. Complete genome deep sequencing of different generations of viruses was performed to characterize the dynamics of the adaptive mutations in SARS-CoV-2. Indirect immunofluorescence analysis and Biolayer interferometry experiments determined the binding affinity of mouse-adapted SARS-CoV-2 WBP-1 RBD to mouse ACE2 and human ACE2. Finally, we tested whether TLR7/8 agonist Resiquimod (R848) could also inhibit the replication of WBP-1 in the mouse model. Findings The mouse-adapted strain WBP-1 showed increased infectivity in BALB/c mice and led to severe interstitial pneumonia. We characterized the dynamics of the adaptive mutations in SARS-CoV-2 and demonstrated that Q493K and Q498H in RBD significantly increased its binding affinity towards mouse ACE2. Additionally, the study tentatively found that the TLR7/8 agonist Resiquimod was able to protect mice against WBP-1 challenge. Therefore, this mouse-adapted strain is a useful tool to investigate COVID-19 and develop new therapies. Interpretation We found for the first time that the Q493K and Q498H mutations in the RBD of WBP-1 enhanced its interactive affinities with mACE2. The mouse-adapted SARS-CoV-2 provides a valuable tool for the evaluation of novel antiviral and vaccine strategies. This study also tentatively verified the antiviral activity of TLR7/8 agonist Resiquimod against SARS-CoV-2 in vitro and in vivo. Funding This research was funded by the National Key Research and Development Program of China (2020YFC0845600) and Emergency Science and Technology Project of Hubei Province (2020FCA046) and Robert A. Welch Foundation (C-1565).
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Affiliation(s)
- Kun Huang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China
| | - Yufei Zhang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China
| | - Xianfeng Hui
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China
| | - Ya Zhao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China
| | - Wenxiao Gong
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China
| | - Ting Wang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China
| | - Shaoran Zhang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China
| | - Yong Yang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China
| | - Fei Deng
- State Key Laboratory of Virology and National Virus Resource Center, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, PR China
| | - Qiang Zhang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China
| | - Xi Chen
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Ying Yang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China
| | - Xiaomei Sun
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China
| | - Huanchun Chen
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China
| | - Yizhi J Tao
- Department of BioSciences, Rice University, Houston, TX 77005, USA
| | - Zhong Zou
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China.
| | - Meilin Jin
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, PR China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, PR China; Key Laboratory of development of veterinary diagnostic products, Ministry of Agriculture, Wuhan, 430070, PR China.
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Alhadrami HA, Sayed AM, Hassan HM, Youssif KA, Gaber Y, Moatasim Y, Kutkat O, Mostafa A, Ali MA, Rateb ME, Abdelmohsen UR, Gamaleldin NM. Cnicin as an Anti-SARS-CoV-2: An Integrated In Silico and In Vitro Approach for the Rapid Identification of Potential COVID-19 Therapeutics. Antibiotics (Basel) 2021; 10:542. [PMID: 34066998 PMCID: PMC8150330 DOI: 10.3390/antibiotics10050542] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/01/2021] [Accepted: 05/04/2021] [Indexed: 02/07/2023] Open
Abstract
Since the emergence of the SARS-CoV-2 pandemic in 2019, it has remained a significant global threat, especially with the newly evolved variants. Despite the presence of different COVID-19 vaccines, the discovery of proper antiviral therapeutics is an urgent necessity. Nature is considered as a historical trove for drug discovery, especially in global crises. During our efforts to discover potential anti-SARS CoV-2 natural therapeutics, screening our in-house natural products and plant crude extracts library led to the identification of C. benedictus extract as a promising candidate. To find out the main chemical constituents responsible for the extract's antiviral activity, we utilized recently reported SARS CoV-2 structural information in comprehensive in silico investigations (e.g., ensemble docking and physics-based molecular modeling). As a result, we constructed protein-protein and protein-compound interaction networks that suggest cnicin as the most promising anti-SARS CoV-2 hit that might inhibit viral multi-targets. The subsequent in vitro validation confirmed that cnicin could impede the viral replication of SARS CoV-2 in a dose-dependent manner, with an IC50 value of 1.18 µg/mL. Furthermore, drug-like property calculations strongly recommended cnicin for further in vivo and clinical experiments. The present investigation highlighted natural products as crucial and readily available sources for developing antiviral therapeutics. Additionally, it revealed the key contributions of bioinformatics and computer-aided modeling tools in accelerating the discovery rate of potential therapeutics, particularly in emergency times like the current COVID-19 pandemic.
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Affiliation(s)
- Hani A. Alhadrami
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, P.O. BOX 80402, Jeddah 21589, Saudi Arabia;
- Molecular Diagnostic Lab, King Abdulaziz University Hospital, King Abdulaziz University, P.O. BOX 80402, Jeddah 21589, Saudi Arabia
| | - Ahmed M. Sayed
- Department of Pharmacognosy, Faculty of Pharmacy, Nahda University, Beni-Suef 62513, Egypt; (A.M.S.); (H.M.H.)
| | - Hossam M. Hassan
- Department of Pharmacognosy, Faculty of Pharmacy, Nahda University, Beni-Suef 62513, Egypt; (A.M.S.); (H.M.H.)
- Department of Pharmacognosy, Faculty of Pharmacy, Beni-Suef University, Beni-Suef 62513, Egypt
| | - Khayrya A. Youssif
- Department of Pharmacognosy, Faculty of Pharmacy, Modern University for Technology and Information, Cairo 11865, Egypt;
| | - Yasser Gaber
- Department of Microbiology and Immunology, Faculty of Pharmacy, Beni-Suef University, Beni-Suef 62511, Egypt;
- Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Mutah University, Karak 61710, Jordan
| | - Yassmin Moatasim
- Center of Scientific Excellence for Influenza Virus, Environmental Research Division, National Research Centre, Giza 12622, Egypt; (Y.M.); (O.K.); (A.M.); (M.A.A.)
| | - Omnia Kutkat
- Center of Scientific Excellence for Influenza Virus, Environmental Research Division, National Research Centre, Giza 12622, Egypt; (Y.M.); (O.K.); (A.M.); (M.A.A.)
| | - Ahmed Mostafa
- Center of Scientific Excellence for Influenza Virus, Environmental Research Division, National Research Centre, Giza 12622, Egypt; (Y.M.); (O.K.); (A.M.); (M.A.A.)
| | - Mohamed Ahmed Ali
- Center of Scientific Excellence for Influenza Virus, Environmental Research Division, National Research Centre, Giza 12622, Egypt; (Y.M.); (O.K.); (A.M.); (M.A.A.)
| | - Mostafa E. Rateb
- School of Computing, Engineering & Physical Sciences, University of the West of Scotland, Paisley PA1 2BE, UK;
| | - Usama Ramadan Abdelmohsen
- Department of Pharmacognosy, Faculty of Pharmacy, Deraya University, New Minia 61111, Egypt
- Department of Pharmacognosy, Faculty of Pharmacy, Minia University, Minia 61519, Egypt
| | - Noha M. Gamaleldin
- Department of Microbiology, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo 11837, Egypt
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Malik YS, Ansari MI, Kattoor JJ, Kaushik R, Sircar S, Subbaiyan A, Tiwari R, Dhama K, Ghosh S, Tomar S, Zhang KYJ. Evolutionary and codon usage preference insights into spike glycoprotein of SARS-CoV-2. Brief Bioinform 2021; 22:1006-1022. [PMID: 33377145 PMCID: PMC7953982 DOI: 10.1093/bib/bbaa383] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 10/31/2020] [Accepted: 11/26/2020] [Indexed: 12/13/2022] Open
Abstract
Interaction of SARS-CoV-2 spike glycoprotein with the ACE2 cell receptor is very crucial for virus attachment to human cells. Selected mutations in SARS-CoV-2 S-protein are reported to strengthen its binding affinity to mammalian ACE2. The N501T mutation in SARS-CoV-2-CTD furnishes better support to hotspot 353 in comparison with SARS-CoV and shows higher affinity for receptor binding. Recombination analysis exhibited higher recombination events in SARS-CoV-2 strains, irrespective of their geographical origin or hosts. Investigation further supports a common origin among SARS-CoV-2 and its predecessors, SARS-CoV and bat-SARS-like-CoV. The recombination events suggest a constant exchange of genetic material among the co-infecting viruses in possible reservoirs and human hosts before SARS-CoV-2 emerged. Furthermore, a comprehensive analysis of codon usage bias (CUB) in SARS-CoV-2 revealed significant CUB among the S-genes of different beta-coronaviruses governed majorly by natural selection and mutation pressure. Various indices of codon usage of S-genes helped in quantifying its adaptability in other animal hosts. These findings might help in identifying potential experimental animal models for investigating pathogenicity for drugs and vaccine development experiments.
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Affiliation(s)
| | | | | | - Rahul Kaushik
- Laboratory for Structural Bioinformatics, RIKEN Center for Biosystems Dynamics Research, Japan
| | | | | | - Ruchi Tiwari
- Department of Vet erinary Microbiology, DUVASU, Mathura, India
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Uttar Pradesh, India
| | - Souvik Ghosh
- Health Center for Zoonoses and Tropical Veterinary Medicine, Basseterre, St. Kitts, West Indies
| | | | - Kam Y J Zhang
- Laboratory for Structural Bioinformatics, Center for Biosystems Dynamics Research, RIKEN, Japan
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Chrisman BS, Paskov K, Stockham N, Tabatabaei K, Jung JY, Washington P, Varma M, Sun MW, Maleki S, Wall DP. Indels in SARS-CoV-2 occur at template-switching hotspots. BioData Min 2021; 14:20. [PMID: 33743803 PMCID: PMC7980745 DOI: 10.1186/s13040-021-00251-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 02/23/2021] [Indexed: 11/10/2022] Open
Abstract
The evolutionary dynamics of SARS-CoV-2 have been carefully monitored since the COVID-19 pandemic began in December 2019. However, analysis has focused primarily on single nucleotide polymorphisms and largely ignored the role of insertions and deletions (indels) as well as recombination in SARS-CoV-2 evolution. Using sequences from the GISAID database, we catalogue over 100 insertions and deletions in the SARS-CoV-2 consensus sequences. We hypothesize that these indels are artifacts of recombination events between SARS-CoV-2 replicates whereby RNA-dependent RNA polymerase (RdRp) re-associates with a homologous template at a different loci ("imperfect homologous recombination"). We provide several independent pieces of evidence that suggest this. (1) The indels from the GISAID consensus sequences are clustered at specific regions of the genome. (2) These regions are also enriched for 5' and 3' breakpoints in the transcription regulatory site (TRS) independent transcriptome, presumably sites of RNA-dependent RNA polymerase (RdRp) template-switching. (3) Within raw reads, these indel hotspots have cases of both high intra-host heterogeneity and intra-host homogeneity, suggesting that these indels are both consequences of de novo recombination events within a host and artifacts of previous recombination. We briefly analyze the indels in the context of RNA secondary structure, noting that indels preferentially occur in "arms" and loop structures of the predicted folded RNA, suggesting that secondary structure may be a mechanism for TRS-independent template-switching in SARS-CoV-2 or other coronaviruses. These insights into the relationship between structural variation and recombination in SARS-CoV-2 can improve our reconstructions of the SARS-CoV-2 evolutionary history as well as our understanding of the process of RdRp template-switching in RNA viruses.
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Affiliation(s)
| | - Kelley Paskov
- Department of Biomedical Data Science, Stanford University, Stanford, USA
| | - Nate Stockham
- Department of Neuroscience, Stanford University, Stanford, USA
| | - Kevin Tabatabaei
- Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Jae-Yoon Jung
- Department of Biomedical Data Science, Stanford University, Stanford, USA
| | - Peter Washington
- Department of Bioengineering, Stanford University, Stanford, USA
| | - Maya Varma
- Department of Computer Science, Stanford University, Stanford, USA
| | - Min Woo Sun
- Department of Biomedical Data Science, Stanford University, Stanford, USA
| | - Sepideh Maleki
- Department of Computer Science, University of Texas Austin, Austin, USA
| | - Dennis P Wall
- Department of Biomedical Data Science, Stanford University, Stanford, USA.
- Department of Pediatrics (Systems Medicine), Stanford University, Stanford, USA.
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46
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Li X, Chang J, Chen S, Wang L, Yau TO, Zhao Q, Hong Z, Ruan J, Duan G, Gao S. Genomic Feature Analysis of Betacoronavirus Provides Insights Into SARS and COVID-19 Pandemics. Front Microbiol 2021; 12:614494. [PMID: 33815307 PMCID: PMC8010690 DOI: 10.3389/fmicb.2021.614494] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 02/23/2021] [Indexed: 12/17/2022] Open
Abstract
In December 2019, the world awoke to a new betacoronavirus strain named severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Betacoronavirus consists of A, B, C and D subgroups. Both SARS-CoV and SARS-CoV-2 belong to betacoronavirus subgroup B. In the present study, we divided betacoronavirus subgroup B into the SARS1 and SARS2 classes by six key insertions and deletions (InDels) in betacoronavirus genomes, and identified a recently detected betacoronavirus strains RmYN02 as a recombinant strain across the SARS1 and SARS2 classes, which has potential to generate a new strain with similar risk as SARS-CoV and SARS-CoV-2. By analyzing genomic features of betacoronavirus, we concluded: (1) the jumping transcription and recombination of CoVs share the same molecular mechanism, which inevitably causes CoV outbreaks; (2) recombination, receptor binding abilities, junction furin cleavage sites (FCSs), first hairpins and ORF8s are main factors contributing to extraordinary transmission, virulence and host adaptability of betacoronavirus; and (3) the strong recombination ability of CoVs integrated other main factors to generate multiple recombinant strains, two of which evolved into SARS-CoV and SARS-CoV-2, resulting in the SARS and COVID-19 pandemics. As the most important genomic features of SARS-CoV and SARS-CoV-2, an enhanced ORF8 and a novel junction FCS, respectively, are indispensable clues for future studies of their origin and evolution. The WIV1 strain without the enhanced ORF8 and the RaTG13 strain without the junction FCS "RRAR" may contribute to, but are not the immediate ancestors of SARS-CoV and SARS-CoV-2, respectively.
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Affiliation(s)
- Xin Li
- College of Life Sciences, Nankai University, Tianjin, China
| | - Jia Chang
- College of Life Sciences, Nankai University, Tianjin, China
| | - Shunmei Chen
- Yunnan Key Laboratory of Stem Cell and Regenerative Medicine, Biomedical Engineering Research Center, Kunming Medical University, Kunming, China
| | - Liangge Wang
- Taikang Xianlin Drum Tower Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Tung On Yau
- John Van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom
| | - Qiang Zhao
- College of Life Sciences, Nankai University, Tianjin, China
| | - Zhangyong Hong
- College of Life Sciences, Nankai University, Tianjin, China
| | - Jishou Ruan
- School of Mathematical Sciences, Nankai University, Tianjin, China
| | - Guangyou Duan
- School of Life Sciences, Qilu Normal University, Jinan, China
| | - Shan Gao
- College of Life Sciences, Nankai University, Tianjin, China
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47
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Montoya V, McLaughlin A, Mordecai GJ, Miller RL, Joy JB. Variable routes to genomic and host adaptation among coronaviruses. J Evol Biol 2021; 34:924-936. [PMID: 33751699 PMCID: PMC8242483 DOI: 10.1111/jeb.13771] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 01/19/2021] [Accepted: 01/25/2021] [Indexed: 12/19/2022]
Abstract
Natural selection operating on the genomes of viral pathogens in different host species strongly contributes to adaptation facilitating host colonization. Here, we analyse, quantify and compare viral adaptation in genomic sequence data derived from seven zoonotic events in the Coronaviridae family among primary, intermediate and human hosts. Rates of nonsynonymous (dN) and synonymous (dS) changes on specific amino acid positions were quantified for each open reading frame (ORF). Purifying selection accounted for 77% of all sites under selection. Diversifying selection was most frequently observed in viruses infecting the primary hosts of each virus and predominantly occurred in the orf1ab genomic region. Within all four intermediate hosts, diversifying selection on the spike gene was observed either solitarily or in combination with orf1ab and other genes. Consistent with previous evidence, pervasive diversifying selection on coronavirus spike genes corroborates the role this protein plays in host cellular entry, adaptation to new hosts and evasion of host cellular immune responses. Structural modelling of spike proteins identified a significantly higher proportion of sites for SARS‐CoV‐2 under positive selection in close proximity to sites of glycosylation relative to the other coronaviruses. Among human coronaviruses, there was a significant inverse correlation between the number of sites under positive selection and the estimated years since the virus was introduced into the human population. Abundant diversifying selection observed in SARS‐CoV‐2 suggests the virus remains in the adaptive phase of the host switch, typical of recent host switches. A mechanistic understanding of where, when and how genomic adaptation occurs in coronaviruses following a host shift is crucial for vaccine design, public health responses and predicting future pandemics.
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Affiliation(s)
- Vincent Montoya
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada
| | - Angela McLaughlin
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada.,Bioinformatics Programme, University of British Columbia, Vancouver, BC, Canada
| | - Gideon J Mordecai
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Rachel L Miller
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada.,Bioinformatics Programme, University of British Columbia, Vancouver, BC, Canada
| | - Jeffrey B Joy
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada.,Bioinformatics Programme, University of British Columbia, Vancouver, BC, Canada.,Department of Medicine, University of British Columbia, Vancouver, BC, Canada
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48
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Mamkulathil Devasia R, Altaf M, Fahad Alrefaei A, Manoharadas S. Enhanced production of camptothecin by immobilized callus of Ophiorrhiza mungos and a bioinformatic insight into its potential antiviral effect against SARS-CoV-2. JOURNAL OF KING SAUD UNIVERSITY. SCIENCE 2021; 33:101344. [PMID: 33531790 PMCID: PMC7826111 DOI: 10.1016/j.jksus.2021.101344] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 12/27/2020] [Accepted: 01/11/2021] [Indexed: 05/28/2023]
Abstract
Camptothetin (CPT) is a quinoline alkaloid originally isolated from the Chinese tree, Camptotheca acuminata Decne. CPT was found to have anticancerous and antiviral properties. Derivatives of natural CPT, including topothecan and irinotecan are used clinically to treat a variety of cancers. Apart from Camptotheca acuminata Decne, CPT production was also found in the perennial plant Ophiorrhiza mungos. In this study we attempted the immobilization of the tissue culture grown callus of Ophiorrhiza mungos for the continuous production of a higher concentration of CPT. As evident from previous studies about the antiviral effects of CPT, we wanted to bioinformatically analyze the binding potential of CPT towards two important proteins of SARS-CoV-2, protease (Mpro) and RNA dependent RNA polymerase (RdRp). Further docking analysis of the CPT against the exterior spike glycoprotein of SARS-CoV-2 was also done to determine their potential interaction. The immobilized callus of Ophiorrhiza mungos produced CPT at a concentration of 420 µg/l by the end of 12 days of growth. The HPLC analysis was done to determine the purity of the CPT synthesized by the immobilization technique. The bioinformatic analysis revealed a higher binding efficiency of CPT and its derivatives, toptecan and irinotecan against Mpro and RdRp. The docking analysis of CPT against the spike glycoprotein of SARS-CoV-2 showed hydrogen bonding with the amino acids at K466 with a bond distance of 2.56A° and K355 with a bond distance of 2.40A°. This finding was of particular importance that other compounds including hydroxychloroquine sulphate, lopinavir and ivermectin could bind with the spike protein only by weak Vander wall bonds and no hydrogen bond formation was noticed. Our studies hence evaluate the efficiency of CPT against SARS-CoV-2, by potentially blocking the interaction of the spike glycoprotein with the angiotensin-converting enzyme 2 (ACE2) receptor found on host cells.
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Affiliation(s)
| | - Mohammad Altaf
- King Saud University, Central Laboratory, Department of Chemistry, College of Science, P.O. Box. 2454, Riyadh 11451, Saudi Arabia
| | - Abdulwahed Fahad Alrefaei
- King Saud University, Department of Zoology, College of Science, P.O. Box. 2454, Riyadh 11451, Saudi Arabia
| | - Salim Manoharadas
- King Saud University, Central Laboratory, Department of Botany and Microbiology, College of Science, P.O. Box. 2454, Riyadh 11451, Saudi Arabia
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49
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Li X, Cheng Z, Wang F, Chang J, Zhao Q, Zhou H, Liu C, Ruan J, Duan G, Gao S. A Negative Feedback Model to Explain Regulation of SARS-CoV-2 Replication and Transcription. Front Genet 2021; 12:641445. [PMID: 33719350 PMCID: PMC7954359 DOI: 10.3389/fgene.2021.641445] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 02/01/2021] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although a preliminary understanding of the replication and transcription of SARS-CoV-2 has recently emerged, their regulation remains unknown. RESULTS By comprehensive analysis of genome sequence and protein structure data, we propose a negative feedback model to explain the regulation of CoV replication and transcription, providing a molecular basis of the "leader-to-body fusion" model. The key step leading to the proposal of our model was that the transcription regulatory sequence (TRS) motifs were identified as the cleavage sites of nsp15, a nidoviral RNA uridylate-specific endoribonuclease (NendoU). According to this model, nsp15 regulates the synthesis of subgenomic RNAs (sgRNAs), and genomic RNAs (gRNAs) by cleaving TRSs. The expression level of nsp15 controls the relative proportions of sgRNAs and gRNAs, which in turn change the expression level of nsp15 to reach equilibrium between the CoV replication and transcription. CONCLUSION The replication and transcription of CoVs are regulated by a negative feedback mechanism that influences the persistence of CoVs in hosts. Our findings enrich fundamental knowledge in the field of gene expression and its regulation, and provide new clues for future studies. One important clue is that nsp15 may be an important and ideal target for the development of drugs (e.g., uridine derivatives) against CoVs.
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Affiliation(s)
- Xin Li
- College of Life Sciences, Nankai University, Tianjin, China
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Zhi Cheng
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China
| | - Fang Wang
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Jia Chang
- College of Life Sciences, Nankai University, Tianjin, China
| | - Qiang Zhao
- College of Life Sciences, Nankai University, Tianjin, China
| | - Hao Zhou
- College of Life Sciences, Nankai University, Tianjin, China
| | - Chang Liu
- College of Life Sciences, Nankai University, Tianjin, China
| | - Jishou Ruan
- School of Mathematical Sciences, Nankai University, Tianjin, China
| | - Guangyou Duan
- School of Life Sciences, Qilu Normal University, Jinan, China
| | - Shan Gao
- College of Life Sciences, Nankai University, Tianjin, China
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50
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Predicting mammalian hosts in which novel coronaviruses can be generated. Nat Commun 2021; 12:780. [PMID: 33594041 PMCID: PMC7887240 DOI: 10.1038/s41467-021-21034-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 01/08/2021] [Indexed: 12/23/2022] Open
Abstract
Novel pathogenic coronaviruses – such as SARS-CoV and probably SARS-CoV-2 – arise by homologous recombination between co-infecting viruses in a single cell. Identifying possible sources of novel coronaviruses therefore requires identifying hosts of multiple coronaviruses; however, most coronavirus-host interactions remain unknown. Here, by deploying a meta-ensemble of similarity learners from three complementary perspectives (viral, mammalian and network), we predict which mammals are hosts of multiple coronaviruses. We predict that there are 11.5-fold more coronavirus-host associations, over 30-fold more potential SARS-CoV-2 recombination hosts, and over 40-fold more host species with four or more different subgenera of coronaviruses than have been observed to date at >0.5 mean probability cut-off (2.4-, 4.25- and 9-fold, respectively, at >0.9821). Our results demonstrate the large underappreciation of the potential scale of novel coronavirus generation in wild and domesticated animals. We identify high-risk species for coronavirus surveillance. Homologous recombination between co-infecting coronaviruses can produce novel pathogens. Here, Wardeh et al. develop a machine learning approach to predict associations between mammals and multiple coronaviruses and hence estimate the potential for generation of novel coronaviruses by recombination.
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