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Korosec CS, Wahl LM, Heffernan JM. Within-host evolution of SARS-CoV-2: how often are de novo mutations transmitted from symptomatic infections? Virus Evol 2024; 10:veae006. [PMID: 38425472 PMCID: PMC10904108 DOI: 10.1093/ve/veae006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/20/2023] [Accepted: 01/12/2024] [Indexed: 03/02/2024] Open
Abstract
Despite a relatively low mutation rate, the large number of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections has allowed for substantial genetic change, leading to a multitude of emerging variants. Using a recently determined mutation rate (per site replication), as well as within-host parameter estimates for symptomatic SARS-CoV-2 infection, we apply a stochastic transmission-bottleneck model to describe the survival probability of de novo SARS-CoV-2 mutations as a function of bottleneck size and selection coefficient. For narrow bottlenecks, we find that mutations affecting per-target-cell attachment rate (with phenotypes associated with fusogenicity and ACE2 binding) have similar transmission probabilities to mutations affecting viral load clearance (with phenotypes associated with humoral evasion). We further find that mutations affecting the eclipse rate (with phenotypes associated with reorganization of cellular metabolic processes and synthesis of viral budding precursor material) are highly favoured relative to all other traits examined. We find that mutations leading to reduced removal rates of infected cells (with phenotypes associated with innate immune evasion) have limited transmission advantage relative to mutations leading to humoral evasion. Predicted transmission probabilities, however, for mutations affecting innate immune evasion are more consistent with the range of clinically estimated household transmission probabilities for de novo mutations. This result suggests that although mutations affecting humoral evasion are more easily transmitted when they occur, mutations affecting innate immune evasion may occur more readily. We examine our predictions in the context of a number of previously characterized mutations in circulating strains of SARS-CoV-2. Our work offers both a null model for SARS-CoV-2 mutation rates and predicts which aspects of viral life history are most likely to successfully evolve, despite low mutation rates and repeated transmission bottlenecks.
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Affiliation(s)
- Chapin S Korosec
- Modelling Infection and Immunity Lab, Mathematics and Statistics, York University, 4700 Keele St, Toronto, ON M3J 1P3, Canada
- Centre for Disease Modelling, Mathematics and Statistics, York University, 4700 Keele St, Toronto, ON M3J 1P3, Canada
| | - Lindi M Wahl
- Applied Mathematics, Western University, 1151 Richmond St, London, ON N6A 5B7, Canada
| | - Jane M Heffernan
- Modelling Infection and Immunity Lab, Mathematics and Statistics, York University, 4700 Keele St, Toronto, ON M3J 1P3, Canada
- Centre for Disease Modelling, Mathematics and Statistics, York University, 4700 Keele St, Toronto, ON M3J 1P3, Canada
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2
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Lebatteux D, Soudeyns H, Boucoiran I, Gantt S, Diallo AB. Machine learning-based approach KEVOLVE efficiently identifies SARS-CoV-2 variant-specific genomic signatures. PLoS One 2024; 19:e0296627. [PMID: 38241279 PMCID: PMC10798494 DOI: 10.1371/journal.pone.0296627] [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: 02/21/2022] [Accepted: 12/07/2023] [Indexed: 01/21/2024] Open
Abstract
Machine learning was shown to be effective at identifying distinctive genomic signatures among viral sequences. These signatures are defined as pervasive motifs in the viral genome that allow discrimination between species or variants. In the context of SARS-CoV-2, the identification of these signatures can assist in taxonomic and phylogenetic studies, improve in the recognition and definition of emerging variants, and aid in the characterization of functional properties of polymorphic gene products. In this paper, we assess KEVOLVE, an approach based on a genetic algorithm with a machine-learning kernel, to identify multiple genomic signatures based on minimal sets of k-mers. In a comparative study, in which we analyzed large SARS-CoV-2 genome dataset, KEVOLVE was more effective at identifying variant-discriminative signatures than several gold-standard statistical tools. Subsequently, these signatures were characterized using a new extension of KEVOLVE (KANALYZER) to highlight variations of the discriminative signatures among different classes of variants, their genomic location, and the mutations involved. The majority of identified signatures were associated with known mutations among the different variants, in terms of functional and pathological impact based on available literature. Here we showed that KEVOLVE is a robust machine learning approach to identify discriminative signatures among SARS-CoV-2 variants, which are frequently also biologically relevant, while bypassing multiple sequence alignments. The source code of the method and additional resources are available at: https://github.com/bioinfoUQAM/KEVOLVE.
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Affiliation(s)
- Dylan Lebatteux
- Department of Computer Science, Université du Québec à Montréal, Montréal, Québec, Canada
| | - Hugo Soudeyns
- CHU Sainte-Justine Research Centre, Montréal, Québec, Canada
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
- Department of Pediatrics, Faculty of Medicine, Université du Québec à Montréal, Montréal, Québec, Canada
| | - Isabelle Boucoiran
- Department of Obstetrics and Gynecology, Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Soren Gantt
- CHU Sainte-Justine Research Centre, Montréal, Québec, Canada
- Department of Microbiology, Infectious Diseases and Immunology, Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
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3
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Gissot L, Fontaine F, Kelemen Z, Dao O, Bouchez I, Deruyffelaere C, Winkler M, Costa AD, Pierre F, Meziadi C, Faure JD, Froissard M. E and M SARS-CoV-2 membrane protein expression and enrichment with plant lipid droplets. Biotechnol J 2024; 19:e2300512. [PMID: 37986207 DOI: 10.1002/biot.202300512] [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: 09/26/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 11/22/2023]
Abstract
Plants are gaining traction as a cost-effective and scalable platform for producing recombinant proteins. However, expressing integral membrane proteins in plants is challenging due to their hydrophobic nature. In our study, we used transient and stable expression systems in Nicotiana benthamiana and Camelina sativa respectively to express SARS-CoV-2 E and M integral proteins, and target them to lipid droplets (LDs). LDs offer an ideal environment for folding hydrophobic proteins and aid in their purification through flotation. We tested various protein fusions with different linkers and tags and used three dimensional structure predictions to assess their effects. E and M mostly localized in the ER in N. benthamiana leaves but E could be targeted to LDs in oil accumulating tobacco when fused with oleosin, a LD integral protein. In Camelina sativa seeds, E and M were however found associated with purified LDs. By enhancing the accumulation of E and M within LDs through oleosin, we enriched these proteins in the purified floating fraction. This strategy provides an alternative approach for efficiently producing and purifying hydrophobic pharmaceuticals and vaccines using plant systems.
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Affiliation(s)
- Lionel Gissot
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France
| | - Florent Fontaine
- SAS Core Biogenesis, 850 Bd Sébastien Brant BioParc 3, 67400, Illkirch-Graffenstaden, France
| | - Zsolt Kelemen
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France
| | - Ousmane Dao
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France
| | - Isabelle Bouchez
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France
| | - Carine Deruyffelaere
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France
| | - Michèle Winkler
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France
| | - Anais Da Costa
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France
| | - Fabienne Pierre
- SAS Core Biogenesis, 850 Bd Sébastien Brant BioParc 3, 67400, Illkirch-Graffenstaden, France
| | - Chouaib Meziadi
- SAS Core Biogenesis, 850 Bd Sébastien Brant BioParc 3, 67400, Illkirch-Graffenstaden, France
| | - Jean-Denis Faure
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France
| | - Marine Froissard
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France
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4
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Ahmadi AS, Shafiei-Jandaghi NZ, Sadeghi K, Nejati A, Zadheidar S, Mokhtari-Azad T, Yavarian J. Comparison of Circulating Variants during the Beginning, Middle and the End of the 4th Wave of COVID-19 in Tehran Province, Iran in 2021. IRANIAN JOURNAL OF PUBLIC HEALTH 2023; 52:2621-2629. [PMID: 38435775 PMCID: PMC10903313 DOI: 10.18502/ijph.v52i12.14323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 08/11/2023] [Indexed: 03/05/2024]
Abstract
Background Whole viral genome sequencing with next generation sequencing (NGS) technique is useful tool for determining the diversity of variants and mutations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study we have attempted to characterize the mutations and circulating variants of the SARSCoV-2 genome during the 4th wave of COVID-19 pandemic in Tehran, Iran in 2021. Methods We performed complete genome sequencing of 15 SARS-CoV-2 detected from 15 COVID-19 patients during the 4th wave of COVID-19 pandemic with NGS. Three groups of the patients at the beginning, middle and the end of the 4th wave were compared together. Results We detected alpha and delta variants during the 4th wave of the pandemic. The results illustrated a dominance of amino acid substitution D614G in spike, and the most frequent mutants were N-R203K, G204R, S235F, nsp12-P323L, nsp6-G106del, G107del and F108del. Conclusion The detection of the virus mutations is a useful procedure for identifying the virus behavior and its genetic evolution in order to improve the efficacy of the monitoring strategies and therapeutic measures.
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Affiliation(s)
- Akram Sadat Ahmadi
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Kaveh Sadeghi
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Nejati
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Sevrin Zadheidar
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Talat Mokhtari-Azad
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Jila Yavarian
- Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Research Center for Antibiotic Stewardship and Antimicrobial Resistance, Tehran University of Medical Sciences, Tehran, Iran
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5
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Sarkar MMH, Naser SR, Chowdhury SF, Khan MS, Habib MA, Akter S, Banu TA, Goswami B, Jahan I, Nayem MR, Hassan MA, Khan MI, Rabbi MFA, Ahsan CR, Miah MI, Nessa A, Islam SMRU, Rahman MA, Shaikh MAA, Ahmed MS. M gene targeted qRT-PCR approach for SARS-CoV-2 virus detection. Sci Rep 2023; 13:16659. [PMID: 37789078 PMCID: PMC10547753 DOI: 10.1038/s41598-023-43204-9] [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: 06/18/2023] [Accepted: 09/21/2023] [Indexed: 10/05/2023] Open
Abstract
Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) is the gold standard method for SARS-CoV-2 detection, and several qRT-PCR kits have been established targeting different genes of the virus. Due to the high mutation rate of these genes, false negative results arise thus complicating the interpretation of the diagnosis and increasing the need of alternative targets. In this study, an alternative approach for the detection of SARS-CoV-2 viral RNA targeting the membrane (M) gene of the virus using qRT-PCR was described. Performance evaluation of this newly developed in-house assay against commercial qRT-PCR kits was done using clinical oropharyngeal specimens of COVID-19 positive patients. The limit of detection was determined using successive dilutions of known copies of SARS-CoV-2 pseudovirus. The M gene based assay was able to detect a minimum of 100 copies of virus/mL indicating its capacity to detect low viral load. The assay showed comparable accuracy, sensitivity and specificity with commercially available kits while detecting all the variants efficiently. The study concluded that the in-house M gene based assay might be an effective alternative for the currently available commercial qRT-PCR kits.
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Affiliation(s)
| | - Showti Raheel Naser
- Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh
| | | | - Md Salim Khan
- Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Md Ahashan Habib
- Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Shahina Akter
- Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Tanjina Akhtar Banu
- Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Barna Goswami
- Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh
| | - Iffat Jahan
- Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh
| | | | | | | | | | | | | | - Afzalun Nessa
- Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh
| | | | | | - Md Aftab Ali Shaikh
- Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.
- University of Dhaka, Dhaka, Bangladesh.
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6
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Wu H, Li C, Sun X, Cheng Y, Chen Z. Identification of a Monoclonal Antibody against Porcine Deltacoronavirus Membrane Protein. Int J Mol Sci 2023; 24:13934. [PMID: 37762237 PMCID: PMC10530725 DOI: 10.3390/ijms241813934] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
Porcine deltacoronavirus (PDCoV) is an emerging virus that poses a significant threat to the global swine industry. Its membrane (M) protein is crucial for virion assembly and virus-host interactions. We selected the hydrophilic region of M protein for prokaryotic expression, purification, and recombinant protein production. Utilizing hybridoma technology, we prepared the monoclonal antibody (mAb) 24-A6 against M protein. The mAb 24-A6 was shown to be suitable for use in immunofluorescence assays, western blotting, and immunoprecipitation, with specificity for PDCoV and no cross-reactivity with other five porcine viruses. The M protein was observed to be expressed as early as 3 h after PDCoV infection, increasing its expression over the duration of infection. Notably, the antigenic epitope of the M protein identified as 103SPESRL108 recognized by mAb 24-A6 was found within a conserved structural domain (SWWSFNPETNNL) of the coronavirus M protein, indicating a crucial overlap between a functionally important viral assembly region and a region recognized by the immune system. Our findings provide valuable insights into mAb 24-A6 targeting the antigenic epitope of M protein and may contribute to the development of diagnostic tools for PDCoV infection and fundamental research into the function of PDCoV M protein.
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Affiliation(s)
- Huiguang Wu
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China
| | - Chen Li
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Xian Sun
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Yue Cheng
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Zhenhai Chen
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China
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7
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George U, George O, Oguzie J, Osasona O, Motayo B, Kamani J, Eromon P, Folarin O, Happi A, Komolafe I, Happi C. Genomic characterization of Alphacoronavirus from Mops condylurus bats in Nigeria. Virus Res 2023; 334:199174. [PMID: 37467933 PMCID: PMC10392604 DOI: 10.1016/j.virusres.2023.199174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/12/2023] [Accepted: 07/15/2023] [Indexed: 07/21/2023]
Abstract
Coronaviruses (CoVs) are responsible for sporadic, epidemic and pandemic respiratory diseases worldwide. Bats have been identified as the reservoir for CoVs. To increase the number of complete coronavirus genomes in Africa and to comprehend the molecular epidemiology of bat Alphacoronaviruses (AlphaCoVs), we used deep metagenomics shotgun sequencing to obtain three (3) near-complete genomes of AlphaCoVs from Mops condylurus (Angolan free-tailed) bat in Nigeria. Phylogenetic and pairwise identity analysis of open reading frame 1ab (ORF1ab), spike (S), envelope (E), membrane (M) and nucleocapsid (N) genes of AlphaCoV in this study to previously described AlphaCoVs subgenera showed that the Nigerian AlphaCoVs may be members of potentially unique AlphaCoV subgenera circulating exclusively in bats in the Molossidae bat family. Recombination events were detected, suggesting the evolution of AlphaCoVs within the Molossidae family. The pairwise identity of the S gene in this study and previously published S gene sequences of other AlphaCoVs indicate that the Nigerian strains may have a genetically unique spike protein that is distantly related to other AlphaCoVs. Variations involving non-polar to polar amino acid substitution in both the Heptad Repeat (HR) regions 1 and 2 were observed. Further monitoring of bats to understand the host receptor use requirements of CoVs and interspecies CoV transmission in Africa is necessary to identify and prevent the potential danger that bat CoVs pose to public health.
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Affiliation(s)
- Uwem George
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer's University, Ede, Osun State, Nigeria; Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun State, Nigeria
| | | | - Judith Oguzie
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer's University, Ede, Osun State, Nigeria; Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun State, Nigeria
| | - Oluwadamilola Osasona
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer's University, Ede, Osun State, Nigeria; Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun State, Nigeria
| | - Babatunde Motayo
- Department of Medical Microbiology, Federal Medical Centre, Abeokuta, Nigeria
| | - Joshua Kamani
- Parasitology Division National Veterinary Research Institute NVRI PMB 01, Vom, Plateau state Nigeria
| | - Philomena Eromon
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer's University, Ede, Osun State, Nigeria
| | - Onikepe Folarin
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer's University, Ede, Osun State, Nigeria; Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun State, Nigeria
| | - Anise Happi
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer's University, Ede, Osun State, Nigeria
| | - Isaac Komolafe
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun State, Nigeria
| | - Christian Happi
- African Centre of Excellence for Genomics of Infectious Diseases, Redeemer's University, Ede, Osun State, Nigeria; Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun State, Nigeria.
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8
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Subramoney K, Mtileni N, Giandhari J, Naidoo Y, Ramphal Y, Pillay S, Ramphal U, Maharaj A, Tshiabuila D, Tegally H, Wilkinson E, de Oliveira T, Fielding BC, Treurnicht FK. Molecular Epidemiology of SARS-CoV-2 during Five COVID-19 Waves and the Significance of Low-Frequency Lineages. Viruses 2023; 15:1194. [PMID: 37243279 PMCID: PMC10223853 DOI: 10.3390/v15051194] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/12/2023] [Accepted: 05/15/2023] [Indexed: 05/28/2023] Open
Abstract
SARS-CoV-2 lineages and variants of concern (VOC) have gained more efficient transmission and immune evasion properties with time. We describe the circulation of VOCs in South Africa and the potential role of low-frequency lineages on the emergence of future lineages. Whole genome sequencing was performed on SARS-CoV-2 samples from South Africa. Sequences were analysed with Nextstrain pangolin tools and Stanford University Coronavirus Antiviral & Resistance Database. In 2020, 24 lineages were detected, with B.1 (3%; 8/278), B.1.1 (16%; 45/278), B.1.1.348 (3%; 8/278), B.1.1.52 (5%; 13/278), C.1 (13%; 37/278) and C.2 (2%; 6/278) circulating during the first wave. Beta emerged late in 2020, dominating the second wave of infection. B.1 and B.1.1 continued to circulate at low frequencies in 2021 and B.1.1 re-emerged in 2022. Beta was outcompeted by Delta in 2021, which was thereafter outcompeted by Omicron sub-lineages during the 4th and 5th waves in 2022. Several significant mutations identified in VOCs were also detected in low-frequency lineages, including S68F (E protein); I82T (M protein); P13L, R203K and G204R/K (N protein); R126S (ORF3a); P323L (RdRp); and N501Y, E484K, D614G, H655Y and N679K (S protein). Low-frequency variants, together with VOCs circulating, may lead to convergence and the emergence of future lineages that may increase transmissibility, infectivity and escape vaccine-induced or natural host immunity.
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Affiliation(s)
- Kathleen Subramoney
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa;
- Department of Virology, National Health Laboratory Service, Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg 2193, South Africa;
- Centre for Vaccines and Immunology, National Institute for Communicable Diseases, Johannesburg 2131, South Africa
| | - Nkhensani Mtileni
- Department of Virology, National Health Laboratory Service, Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg 2193, South Africa;
| | - Jennifer Giandhari
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa; (J.G.); (Y.R.); (S.P.); (U.R.); (A.M.); (H.T.); (T.d.O.)
| | - Yeshnee Naidoo
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa; (Y.N.); (D.T.); (E.W.)
| | - Yajna Ramphal
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa; (J.G.); (Y.R.); (S.P.); (U.R.); (A.M.); (H.T.); (T.d.O.)
| | - Sureshnee Pillay
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa; (J.G.); (Y.R.); (S.P.); (U.R.); (A.M.); (H.T.); (T.d.O.)
| | - Upasana Ramphal
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa; (J.G.); (Y.R.); (S.P.); (U.R.); (A.M.); (H.T.); (T.d.O.)
| | - Akhil Maharaj
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa; (J.G.); (Y.R.); (S.P.); (U.R.); (A.M.); (H.T.); (T.d.O.)
| | - Derek Tshiabuila
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa; (Y.N.); (D.T.); (E.W.)
| | - Houriiyah Tegally
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa; (J.G.); (Y.R.); (S.P.); (U.R.); (A.M.); (H.T.); (T.d.O.)
| | - Eduan Wilkinson
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa; (Y.N.); (D.T.); (E.W.)
| | - Tulio de Oliveira
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa; (J.G.); (Y.R.); (S.P.); (U.R.); (A.M.); (H.T.); (T.d.O.)
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa; (Y.N.); (D.T.); (E.W.)
| | - Burtram C. Fielding
- Molecular Biology and Virology Research Laboratory, Department of Medical BioSciences, University of the Western Cape, Cape Town 7535, South Africa;
| | - Florette K. Treurnicht
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa;
- Department of Virology, National Health Laboratory Service, Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg 2193, South Africa;
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9
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Castañeda-Montes FJ, Cerriteño-Sánchez JL, Castañeda-Montes MA, Cuevas-Romero JS, Mendoza-Elvira S. A Candidate Antigen of the Recombinant Membrane Protein Derived from the Porcine Deltacoronavirus Synthetic Gene to Detect Seropositive Pigs. Viruses 2023; 15:v15051049. [PMID: 37243136 DOI: 10.3390/v15051049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 04/20/2023] [Accepted: 04/22/2023] [Indexed: 05/28/2023] Open
Abstract
Porcine deltacoronavirus (PDCoV) is an emergent swine coronavirus which infects cells from the small intestine and induces watery diarrhea, vomiting and dehydration, causing mortality in piglets (>40%). The aim of this study was to evaluate the antigenicity and immunogenicity of the recombinant membrane protein (M) of PDCoV (rM-PDCoV), which was developed from a synthetic gene obtained after an in silico analysis with a group of 138 GenBank sequences. A 3D model and phylogenetic analysis confirmed the highly conserved M protein structure. Therefore, the synthetic gene was successfully cloned in a pETSUMO vector and transformed in E. coli BL21 (DE3). The rM-PDCoV was confirmed by SDS-PAGE and Western blot with ~37.7 kDa. The rM-PDCoV immunogenicity was evaluated in immunized (BLAB/c) mice and iELISA. The data showed increased antibodies from 7 days until 28 days (p < 0.001). The rM-PDCoV antigenicity was analyzed using pig sera samples from three states located in "El Bajío" Mexico and positive sera were determined. Our results show that PDCoV has continued circulating on pig farms in Mexico since the first report in 2019; therefore, the impact of PDCoV on the swine industry could be higher than reported in other studies.
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Affiliation(s)
- Francisco Jesus Castañeda-Montes
- Centro Nacional de Investigación Disciplinaria en Salud Animal e Inocuidad, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Km 15.5 Carretera México-Toluca, Palo Alto, Cuajimalpa, Ciudad de México 05110, Mexico
- Posgrado en Ciencias de la Producción y de la Salud Animal, Facultad de Estudios Superiores Cuautitlán, Estado de México, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - José Luis Cerriteño-Sánchez
- Centro Nacional de Investigación Disciplinaria en Salud Animal e Inocuidad, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Km 15.5 Carretera México-Toluca, Palo Alto, Cuajimalpa, Ciudad de México 05110, Mexico
| | - María Azucena Castañeda-Montes
- Centro Nacional de Investigación Disciplinaria en Salud Animal e Inocuidad, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Km 15.5 Carretera México-Toluca, Palo Alto, Cuajimalpa, Ciudad de México 05110, Mexico
| | - Julieta Sandra Cuevas-Romero
- Centro Nacional de Investigación Disciplinaria en Salud Animal e Inocuidad, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Km 15.5 Carretera México-Toluca, Palo Alto, Cuajimalpa, Ciudad de México 05110, Mexico
| | - Susana Mendoza-Elvira
- Posgrado en Ciencias de la Producción y de la Salud Animal, Facultad de Estudios Superiores Cuautitlán, Estado de México, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
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10
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Alhabibi AM, Hassan AS, Abd Elbaky NM, Eid HA, Khalifa MAAA, Wahab MA, Althoqapy AA, Abdou AE, Zakaria DM, Nassef EM, Kasim SA, Saleh OI, Elsheikh AA, Lotfy M, Sayed A. Impact of Toll-Like Receptor 2 and 9 Gene Polymorphisms on COVID-19: Susceptibility, Severity, and Thrombosis. J Inflamm Res 2023; 16:665-675. [PMID: 36825132 PMCID: PMC9942505 DOI: 10.2147/jir.s394927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/26/2023] [Indexed: 02/18/2023] Open
Abstract
Background Toll-like receptors (TLRs) play an important role in activation of innate and adaptive immune responses. Aim We aimed to detect the association between TLR2 rs5743708 G>A and TLR9 rs5743836 C>T variants and COVID-19 disease susceptibility, severity, and thrombosis by using neutrophil extracellular traps (NETs). Subjects and Methods We included 100 adult COVID-19 patients as well as 100 age- and gender-matched normal controls. Participants were genotyped for TLR2 rs5743708 and TLR9 rs5743836. Citrullinated Histone (H3) was detected as an indicator of NETs. Results The mutant (G/A and C/C) genotypes and (A and C) alleles of TLR2 rs5743708 and TLR9 rs5743836, respectively, have been significantly related to a higher risk of COVID-19 infection, representing a significant risk factor for the severity of COVID-19. There was no significant association between the two variants and citrullinated histone (H3). Conclusion TLR2 rs5743708 and TLR9 rs5743836 variants have been significantly related to a higher risk and severity of COVID-19 infection but had no effect on thrombus formation.
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Affiliation(s)
- Alshaymaa M Alhabibi
- Departments of Clinical Pathology, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt,Correspondence: Alshaymaa M Alhabibi, Tel +201002894075, Email
| | - Asmaa S Hassan
- Departments of Clinical Pathology, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
| | | | - Hoda Asaad Eid
- Chest Disease, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
| | | | - Maisa A Wahab
- Vascular Surgery, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
| | - Azza Ali Althoqapy
- Medical Microbiology and Immunology Department, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
| | - Aml E Abdou
- Medical Microbiology and Immunology Department, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
| | | | - Eman Mostafa Nassef
- Internal Medicine, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
| | - Sammar Ahmed Kasim
- Internal Medicine, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
| | - Ola I Saleh
- Radio-Diagnosis, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
| | - Asmaa Abdelghany Elsheikh
- Community and Occupational Medicine, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
| | - Mahmoud Lotfy
- Molecular Biology Department, Genetic Engineering & Biotechnology Research Institute, University of Sadat City, Sadat City, Minufiya, Egypt
| | - Alaa Sayed
- Hormones Department, Medical Research and Clinical Studies Institute, National Research Centre, Cairo, Egypt
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11
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Ozhmegova EN, Savochkina TE, Prilipov AG, Tikhomirov E, Larichev VF, Sayfullin MA, Grebennikova TV. [Molecular epidemiological analysis of SARS-CoV-2 genovariants in Moscow and Moscow region]. Vopr Virusol 2023; 67:496-505. [PMID: 37264839 DOI: 10.36233/0507-4088-146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Indexed: 06/03/2023]
Abstract
INTRODUCTION SARS-CoV-2, a severe acute respiratory illness virus that emerged in China in late 2019, continues to spread rapidly around the world, accumulating mutations and thus causing serious concern. Five virus variants of concern are currently known: Alpha (lineage B.1.1.7), Beta (lineage B.1.351), Gamma (lineage P.1), Delta (lineage B.1.617.2), and Omicron (lineage B.1.1.529). In this study, we conducted a molecular epidemiological analysis of the most prevalent genovariants in Moscow and the region. The aim of the study is to estimate the distribution of various variants of SARS-CoV-2 in Moscow city and the Moscow Region. MATERIALS AND METHODS 227 SARS-CoV-2 sequences were used for analysis. Isolation of the SARS-CoV-2 virus was performed on Vero E6 cell culture. Sequencing was performed by the Sanger method. Bioinformatic analysis was carried out using software packages: MAFFT, IQ-TREE v1.6.12, jModelTest 2.1.7, Nextstrain, Auspice v2.34. RESULTS As a result of phylogenetic analysis, we have identified the main variants of the virus circulating in Russia that have been of concern throughout the existence of the pandemic, namely: variant B.1.1.7, which accounted for 30% (9/30), AY.122, which accounted for 16.7% (5/30), BA.1.1 with 20% (6/30) and B.1.1 with 33.3% (10/30). When examining Moscow samples for the presence of mutations in SARS-CoV-2 structural proteins of different genovariants, a significant percentage of the most common substitutions was recorded: S protein D614G (86.7%), P681H/R (63.3%), E protein T9I (20.0%); M protein I82T (30.0%), D3G (20.0%), Q19E (20.0%) and finally N protein R203K/M (90.0%), G204R/P (73.3 %). CONCLUSION The study of the frequency and impact of mutations, as well as the analysis of the predominant variants of the virus are important for the development and improvement of vaccines for the prevention of COVID-19. Therefore, ongoing molecular epidemiological studies are needed, as these data provide important information about changes in the genome of circulating SARS-CoV-2 variants.
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Affiliation(s)
- E N Ozhmegova
- National Research Center for Epidemiology and Microbiology named after honorary academician N.F. Gamaleya, Ministry of Health of the Russian Federation
| | - T E Savochkina
- National Research Center for Epidemiology and Microbiology named after honorary academician N.F. Gamaleya, Ministry of Health of the Russian Federation
| | - A G Prilipov
- National Research Center for Epidemiology and Microbiology named after honorary academician N.F. Gamaleya, Ministry of Health of the Russian Federation
| | - E Tikhomirov
- National Research Center for Epidemiology and Microbiology named after honorary academician N.F. Gamaleya, Ministry of Health of the Russian Federation
| | - V F Larichev
- National Research Center for Epidemiology and Microbiology named after honorary academician N.F. Gamaleya, Ministry of Health of the Russian Federation
| | - M A Sayfullin
- National Research Center for Epidemiology and Microbiology named after honorary academician N.F. Gamaleya, Ministry of Health of the Russian Federation
- Pirogov Russian National Research Medical University
| | - T V Grebennikova
- National Research Center for Epidemiology and Microbiology named after honorary academician N.F. Gamaleya, Ministry of Health of the Russian Federation
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12
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Schumann VF, de Castro Cuadrat RR, Wyler E, Wurmus R, Deter A, Quedenau C, Dohmen J, Faxel M, Borodina T, Blume A, Freimuth J, Meixner M, Grau JH, Liere K, Hackenbeck T, Zietzschmann F, Gnirss R, Böckelmann U, Uyar B, Franke V, Barke N, Altmüller J, Rajewsky N, Landthaler M, Akalin A. SARS-CoV-2 infection dynamics revealed by wastewater sequencing analysis and deconvolution. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 853:158931. [PMID: 36228784 PMCID: PMC9549760 DOI: 10.1016/j.scitotenv.2022.158931] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/27/2022] [Accepted: 09/18/2022] [Indexed: 06/16/2023]
Abstract
The use of RNA sequencing from wastewater samples is a valuable way for estimating infection dynamics and circulating lineages of SARS-CoV-2. This approach is independent from testing individuals and can therefore become the key tool to monitor this and potentially other viruses. However, it is equally important to develop easily accessible and scalable tools which can highlight critical changes in infection rates and dynamics over time across different locations given sequencing data from wastewater. Here, we provide an analysis of lineage dynamics in Berlin and New York City using wastewater sequencing and present PiGx SARS-CoV-2, a highly reproducible computational analysis pipeline with comprehensive reports. This end-to-end pipeline includes all steps from raw data to shareable reports, additional taxonomic analysis, deconvolution and geospatial time series analyses. Using simulated datasets (in silico generated and spiked-in samples) we could demonstrate the accuracy of our pipeline calculating proportions of Variants of Concern (VOC) from environmental as well as pre-mixed samples (spiked-in). By applying our pipeline on a dataset of wastewater samples from Berlin between February 2021 and January 2022, we could reconstruct the emergence of B.1.1.7(alpha) in February/March 2021 and the replacement dynamics from B.1.617.2 (delta) to BA.1 and BA.2 (omicron) during the winter of 2021/2022. Using data from very-short-reads generated in an industrial scale setting, we could see even higher accuracy in our deconvolution. Lastly, using a targeted sequencing dataset from New York City (receptor-binding-domain (RBD) only), we could reproduce the results recovering the proportions of the so-called cryptic lineages shown in the original study. Overall our study provides an in-depth analysis reconstructing virus lineage dynamics from wastewater. While applying our tool on a wide range of different datasets (from different types of wastewater sample locations and sequenced with different methods), we show that PiGx SARS-CoV-2 can be used to identify new mutations and detect any emerging new lineages in a highly automated and scalable way. Our approach can support efforts to establish continuous monitoring and early-warning projects for detecting SARS-CoV-2 or any other pathogen.
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Affiliation(s)
- Vic-Fabienne Schumann
- Bioinformatics & Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Rafael Ricardo de Castro Cuadrat
- Bioinformatics & Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Emanuel Wyler
- RNA Biology and Posttranscriptional Regulation, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Ricardo Wurmus
- Bioinformatics & Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Aylina Deter
- RNA Biology and Posttranscriptional Regulation, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Claudia Quedenau
- Genomics Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Jan Dohmen
- Bioinformatics & Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Miriam Faxel
- Bioinformatics & Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Tatiana Borodina
- Genomics Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Alexander Blume
- Bioinformatics & Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Jonas Freimuth
- Bioinformatics & Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | | | | | | | | | | | | | | | - Bora Uyar
- Bioinformatics & Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Vedran Franke
- Bioinformatics & Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Niclas Barke
- RNA Biology and Posttranscriptional Regulation, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Janine Altmüller
- Genomics Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany
| | - Nikolaus Rajewsky
- Systems Biology of Gene Regulatory Elements, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany.
| | - Markus Landthaler
- RNA Biology and Posttranscriptional Regulation, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany.
| | - Altuna Akalin
- Bioinformatics & Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine Berlin, Berlin, Germany.
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13
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Abavisani M, Rahimian K, Mahdavi B, Tokhanbigli S, Mollapour Siasakht M, Farhadi A, Kodori M, Mahmanzar M, Meshkat Z. Mutations in SARS-CoV-2 structural proteins: a global analysis. Virol J 2022; 19:220. [PMID: 36528612 PMCID: PMC9759450 DOI: 10.1186/s12985-022-01951-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Emergence of new variants mainly variants of concerns (VOC) is caused by mutations in main structural proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, we aimed to investigate the mutations among structural proteins of SARS-CoV-2 globally. METHODS We analyzed samples of amino-acid sequences (AASs) for envelope (E), membrane (M), nucleocapsid (N), and spike (S) proteins from the declaration of the coronavirus 2019 (COVID-19) as pandemic to January 2022. The presence and location of mutations were then investigated by aligning the sequences to the reference sequence and categorizing them based on frequency and continent. Finally, the related human genes with the viral structural genes were discovered, and their interactions were reported. RESULTS The results indicated that the most relative mutations among the E, M, N, and S AASs occurred in the regions of 7 to 14, 66 to 88, 164 to 205, and 508 to 635 AAs, respectively. The most frequent mutations in E, M, N, and S proteins were T9I, I82T, R203M/R203K, and D614G. D614G was the most frequent mutation in all six geographical areas. Following D614G, L18F, A222V, E484K, and N501Y, respectively, were ranked as the most frequent mutations in S protein globally. Besides, A-kinase Anchoring Protein 8 Like (AKAP8L) was shown as the linkage unit between M, E, and E cluster genes. CONCLUSION Screening the structural protein mutations can help scientists introduce better drug and vaccine development strategies.
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Affiliation(s)
- Mohammad Abavisani
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, School of Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Karim Rahimian
- Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran
| | - Bahar Mahdavi
- Department of Molecular Biotechnology, Cell Science Research Center, Royan Institute for Biotechnology, ACECR, Isfahan, Iran
| | - Samaneh Tokhanbigli
- Department of Molecular and Cellular Sciences, Faculty of Advanced Sciences and Technology, Pharmaceutical Sciences Branch, Islamic Azad University, Tehran, Iran
| | - Mahsa Mollapour Siasakht
- Department of Biochemistry, Erasmus University Medical Center, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Amin Farhadi
- Department of Biology, Payame Noor University, Tehran, Iran
| | - Mansoor Kodori
- Non Communicable Diseases Research Center, Bam University of Medical Sciences, Bam, Iran
| | - Mohammadamin Mahmanzar
- Department of Bioinformatics, Kish International Campus University of Tehran, Kish, Iran.
| | - Zahra Meshkat
- Department of Microbiology and Virology, School of Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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Chavda VP, Bezbaruah R, Deka K, Nongrang L, Kalita T. The Delta and Omicron Variants of SARS-CoV-2: What We Know So Far. Vaccines (Basel) 2022; 10:1926. [PMID: 36423021 PMCID: PMC9698608 DOI: 10.3390/vaccines10111926] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/07/2022] [Accepted: 11/08/2022] [Indexed: 07/30/2023] Open
Abstract
The world has not yet completely overcome the fear of the havoc brought by SARS-CoV-2. The virus has undergone several mutations since its initial appearance in China in December 2019. Several variations (i.e., B.1.616.1 (Kappa variant), B.1.617.2 (Delta variant), B.1.617.3, and BA.2.75 (Omicron variant)) have emerged throughout the pandemic, altering the virus's capacity to spread, risk profile, and even symptoms. Humanity faces a serious threat as long as the virus keeps adapting and changing its fundamental function to evade the immune system. The Delta variant has two escape alterations, E484Q and L452R, as well as other mutations; the most notable of these is P681R, which is expected to boost infectivity, whereas the Omicron has about 60 mutations with certain deletions and insertions. The Delta variant is 40-60% more contagious in comparison to the Alpha variant. Additionally, the AY.1 lineage, also known as the "Delta plus" variant, surfaced as a result of a mutation in the Delta variant, which was one of the causes of the life-threatening second wave of coronavirus disease 2019 (COVID-19). Nevertheless, the recent Omicron variants represent a reminder that the COVID-19 epidemic is far from ending. The wave has sparked a fervor of investigation on why the variant initially appeared to propagate so much more rapidly than the other three variants of concerns (VOCs), whether it is more threatening in those other ways, and how its type of mutations, which induce minor changes in its proteins, can wreck trouble. This review sheds light on the pathogenicity, mutations, treatments, and impact on the vaccine efficacy of the Delta and Omicron variants of SARS-CoV-2.
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Affiliation(s)
- Vivek P. Chavda
- Department of Pharmaceutics and Pharmaceutical Technology, L M College of Pharmacy, Ahmedabad 380008, Gujarat, India
| | - Rajashri Bezbaruah
- Department of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh 786004, Assam, India
| | - Kangkan Deka
- NETES Institute of Pharmaceutical Science, Mirza, Guwahati 781125, Assam, India
| | - Lawandashisha Nongrang
- Department of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh 786004, Assam, India
| | - Tutumoni Kalita
- Girijananda Chowdhury Institute of Pharmaceutical Science, Azara, Guwahati 781017, Assam, India
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15
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Lucaci AG, Zehr JD, Shank SD, Bouvier D, Ostrovsky A, Mei H, Nekrutenko A, Martin DP, Kosakovsky Pond SL. RASCL: Rapid Assessment of Selection in CLades through molecular sequence analysis. PLoS One 2022; 17:e0275623. [PMID: 36322581 PMCID: PMC9629619 DOI: 10.1371/journal.pone.0275623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 09/20/2022] [Indexed: 11/06/2022] Open
Abstract
An important unmet need revealed by the COVID-19 pandemic is the near-real-time identification of potentially fitness-altering mutations within rapidly growing SARS-CoV-2 lineages. Although powerful molecular sequence analysis methods are available to detect and characterize patterns of natural selection within modestly sized gene-sequence datasets, the computational complexity of these methods and their sensitivity to sequencing errors render them effectively inapplicable in large-scale genomic surveillance contexts. Motivated by the need to analyze new lineage evolution in near-real time using large numbers of genomes, we developed the Rapid Assessment of Selection within CLades (RASCL) pipeline. RASCL applies state of the art phylogenetic comparative methods to evaluate selective processes acting at individual codon sites and across whole genes. RASCL is scalable and produces automatically updated regular lineage-specific selection analysis reports: even for lineages that include tens or hundreds of thousands of sampled genome sequences. Key to this performance is (i) generation of automatically subsampled high quality datasets of gene/ORF sequences drawn from a selected "query" viral lineage; (ii) contextualization of these query sequences in codon alignments that include high-quality "background" sequences representative of global SARS-CoV-2 diversity; and (iii) the extensive parallelization of a suite of computationally intensive selection analysis tests. Within hours of being deployed to analyze a novel rapidly growing lineage of interest, RASCL will begin yielding JavaScript Object Notation (JSON)-formatted reports that can be either imported into third-party analysis software or explored in standard web-browsers using the premade RASCL interactive data visualization dashboard. By enabling the rapid detection of genome sites evolving under different selective regimes, RASCL is well-suited for near-real-time monitoring of the population-level selective processes that will likely underlie the emergence of future variants of concern in measurably evolving pathogens with extensive genomic surveillance.
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Affiliation(s)
- Alexander G. Lucaci
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, Pennsylvania, United States of America
| | - Jordan D. Zehr
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, Pennsylvania, United States of America
| | - Stephen D. Shank
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, Pennsylvania, United States of America
| | - Dave Bouvier
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, United States of America
| | - Alexander Ostrovsky
- Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, United States of America
| | - Han Mei
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, United States of America
| | - Anton Nekrutenko
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, United States of America
| | - Darren P. Martin
- Division of Computational Biology, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Sergei L. Kosakovsky Pond
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, Pennsylvania, United States of America
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16
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Abavisani M, Rahimian K, Kodori M, Khayami R, Mollapour Sisakht M, Mahmanzar M, Meshkat Z. In silico analysis of the substitution mutations and evolutionary trends of the SARS-CoV-2 structural proteins in Asia. IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES 2022; 25:1299-1307. [PMID: 36474565 PMCID: PMC9699957 DOI: 10.22038/ijbms.2022.66649.14620] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 10/01/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVES To address a highly mutable pathogen, mutations must be evaluated. SARS-CoV-2 involves changing infectivity, mortality, and treatment and vaccination susceptibility resulting from mutations. MATERIALS AND METHODS We investigated the Asian and worldwide samples of amino-acid sequences (AASs) for envelope (E), membrane (M), nucleocapsid (N), and spike (S) proteins from the announcement of the new coronavirus 2019 (COVID-19) up to January 2022. Sequence alignment to the Wuhan-2019 virus permits tracking mutations in Asian and global samples. Furthermore, we explored the evolutionary tendencies of structural protein mutations and compared the results between Asia and the globe. RESULTS The mutation analyses indicated that 5.81%, 70.63%, 26.59%, and 3.36% of Asian S, E, M, and N samples did not display any mutation. Additionally, the most relative mutations among the S, E, M, and N AASs occurred in the regions of 508 to 635 AA, 7 to 14 AA, 66 to 88 AA, and 164 to 205 AA in both Asian and total samples. D614G, T9I, I82T, and R203M were inferred as the most frequent mutations in S, E, M, and N AASs. Timeline research showed that substitution mutation in the location of 614 among Asian and total S AASs was detected from January 2020. CONCLUSION N protein was the most non-conserved protein, and the most prevalent mutations in S, E, M, and N AASs were D614G, T9I, I82T, and R203M. Screening structural protein mutations is a robust approach for developing drugs, vaccines, and more specific diagnostic tools.
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Affiliation(s)
- Mohammad Abavisani
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran,Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Karim Rahimian
- Bioinformatics and Computational Omics Lab (BioCOOL), Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University
| | | | - Reza Khayami
- Non communicable Diseases Research Center, Bam University of Medical sciences, Bam, Iran
| | - Mahsa Mollapour Sisakht
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohammadamin Mahmanzar
- Department of Biochemistry, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Zahra Meshkat
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran ,Corresponding author: Zahra Meshkat. Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Tel: +98-51-38002313; +98-51-38012453;
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17
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Moradi J, Moradi P, Alvandi AH, Abiri R, Moghoofei M. Variation analysis of SARS-CoV-2 complete sequences from Iran. Future Virol 2022. [PMID: 36312039 PMCID: PMC9594980 DOI: 10.2217/fvl-2021-0056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 09/30/2022] [Indexed: 11/21/2022]
Abstract
Aim: SARS-CoV-2 is an emerging coronavirus that was discovered in China and rapidly spread throughout the world. The authors looked at nucleotide and amino acid variations in SARS-CoV-2 genomes, as well as phylogenetic and evolutionary events in viral genomes, in Iran. Materials & methods: All SARS-CoV-2 sequences that were publicly released between the start of the pandemic and 15 October 2021 were included. Results: The majority of mutations were found in vaccine target proteins, Spike and Nucleocapsid proteins, and nonstructural proteins. The majority of the viruses that circulated in the early stages of the pandemic belonged to the B.4 lineage. Conclusion: We discovered the prevalence of viral populations in Iran. As a result, tracking the virus’s variation in Iran and comparing it with a variety of nearby neighborhoods may reveal a pattern for future variant introductions.
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Affiliation(s)
- Jale Moradi
- Department of Microbiology, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Parnia Moradi
- Department of Microbiology, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Amir H Alvandi
- Department of Microbiology, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Ramin Abiri
- Department of Microbiology, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mohsen Moghoofei
- Infectious Diseases Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
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18
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Delshad M, Sanaei MJ, Pourbagheri-Sigaroodi A, Bashash D. Host genetic diversity and genetic variations of SARS-CoV-2 in COVID-19 pathogenesis and the effectiveness of vaccination. Int Immunopharmacol 2022; 111:109128. [PMID: 35963158 PMCID: PMC9359488 DOI: 10.1016/j.intimp.2022.109128] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/15/2022] [Accepted: 08/03/2022] [Indexed: 12/14/2022]
Abstract
The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), responsible for the outbreak of coronavirus disease 2019 (COVID-19), has shown a vast range of clinical manifestations from asymptomatic to life-threatening symptoms. To figure out the cause of this heterogeneity, studies demonstrated the trace of genetic diversities whether in the hosts or the virus itself. With this regard, this review provides a comprehensive overview of how host genetic such as those related to the entry of the virus, the immune-related genes, gender-related genes, disease-related genes, and also host epigenetic could influence the severity of COVID-19. Besides, the mutations in the genome of SARS-CoV-2 __leading to emerging of new variants__ per se affect the affinity of the virus to the host cells and enhance the immune escape capacity. The current review discusses these variants and also the latest data about vaccination effectiveness facing the most important variants.
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Affiliation(s)
- Mahda Delshad
- Department of Laboratory Sciences, School of Allied Medical Sciences, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Mohammad-Javad Sanaei
- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Atieh Pourbagheri-Sigaroodi
- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Bashash
- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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19
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Yang Q, Kelkar A, Sriram A, Hombu R, Hughes TA, Neelamegham S. Role for N-glycans and calnexin-calreticulin chaperones in SARS-CoV-2 Spike maturation and viral infectivity. SCIENCE ADVANCES 2022; 8:eabq8678. [PMID: 36149962 PMCID: PMC9506717 DOI: 10.1126/sciadv.abq8678] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 08/04/2022] [Indexed: 05/30/2023]
Abstract
Functional and epidemiological data suggest that N-linked glycans on the SARS-CoV-2 Spike protein may contribute to viral infectivity. To investigate this, we created a panel of N-to-Q mutations at N-glycosylation sites proximal to the Spike S1-S2 (N61, N603, N657, and N616) and S2' (N603 and N801) proteolysis sites. Some of these mutations, particularly N61Q and N801Q, reduced Spike incorporation into Spike-pseudotyped lentivirus and authentic SARS-CoV-2 virus-like particles (VLPs). These mutations also reduced pseudovirus and VLP entry into ACE2-expressing cells by 80 to 90%. In contrast, glycan mutations had a relatively minor effect on cell surface expression of Spike, ACE2 binding, and syncytia formation. A similar dichotomy in function was observed when virus was produced in host cells lacking ER chaperones, calnexin and calreticulin. Here, while both chaperones regulated pseudovirus function, only VLPs produced in calnexin KOs were less infectious. Overall, Spike N-glycans are likely critical for SARS-CoV-2 function and could serve as drug targets for COVID-19.
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Affiliation(s)
- Qi Yang
- Chemical and Biological Engineering, State University of New York, Buffalo, NY 14260, USA
| | - Anju Kelkar
- Chemical and Biological Engineering, State University of New York, Buffalo, NY 14260, USA
| | - Anirudh Sriram
- Chemical and Biological Engineering, State University of New York, Buffalo, NY 14260, USA
| | - Ryoma Hombu
- Chemical and Biological Engineering, State University of New York, Buffalo, NY 14260, USA
| | - Thomas A. Hughes
- Chemical and Biological Engineering, State University of New York, Buffalo, NY 14260, USA
| | - Sriram Neelamegham
- Chemical and Biological Engineering, State University of New York, Buffalo, NY 14260, USA
- Biomedical Engineering, State University of New York, Buffalo, NY 14260, USA
- Medicine, State University of New York, Buffalo, NY 14260, USA
- Clinical and Translational Research Center
- Cell, Gene and Tissue Engineering Center, Buffalo 14260, NY, USA
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20
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Singh AK, Laskar R, Banerjee A, Mondal RK, Gupta B, Deb S, Dutta S, Patra S, Ghosh T, Sarkar S, Ghosh S, Bhattacharya S, Roy D, Chakraborty A, Chowdhury M, Mahaptra S, Paul A, Mazumder A, Chowdhury A, Chatterjee SS, Sarkar A, Ray R, Pal K, Jana A, Barik G, Ganguly S, Chatterjee M, Majhi D, Bandopadhyay B, Das S, Maitra A, Biswas NK. Contrasting Distribution of SARS-CoV-2 Lineages across Multiple Rounds of Pandemic Waves in West Bengal, the Gateway of East and North-East States of India. Microbiol Spectr 2022; 10:e0091422. [PMID: 35852336 PMCID: PMC9430150 DOI: 10.1128/spectrum.00914-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 06/29/2022] [Indexed: 11/20/2022] Open
Abstract
The evolution of viral variants and their impact on viral transmission have been an area of considerable importance in this pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We analyzed the viral variants in different phases of the pandemic in West Bengal, a state in India that is important geographically, and compared the variants with other states like Delhi, Maharashtra, and Karnataka, located in other regions of the country. We have identified 57 pango-lineages in 3,198 SARS-CoV-2 genomes, alteration in their distribution, as well as contrasting profiles of amino acid mutational dynamics across different waves in different states. The evolving characteristics of Delta (B.1.617.2) sublineages and alterations in hydrophobicity profiles of the viral proteins caused by these mutations were also studied. Additionally, implications of predictive host miRNA binding/unbinding to emerging spike or nucleocapsid mutations were highlighted. Our results throw considerable light on interesting aspects of the viral genomic variation and provide valuable information for improved understanding of wave-defining mutations in unfolding the pandemic. IMPORTANCE Multiple waves of infection were observed in many states in India during the coronavirus disease 2019 (COVID19) pandemic. Fine-scale evolution of major SARS-CoV-2 lineages and sublineages during four wave-window categories: Pre-Wave 1, Wave 1, Pre-Wave 2, and Wave 2 in four major states of India: Delhi (North), Maharashtra (West), Karnataka (South), and West Bengal (East) was studied using large-scale virus genome sequencing data. Our comprehensive analysis reveals contrasting molecular profiles of the wave-defining mutations and their implications in host miRNA binding/unbinding of the lineages in the major states of India.
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Affiliation(s)
- Animesh K. Singh
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | | | - Anindita Banerjee
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | | | - Bishal Gupta
- School of Tropical Medicine, Kolkata, West Bengal, India
| | - Sonia Deb
- School of Tropical Medicine, Kolkata, West Bengal, India
| | - Shreelekha Dutta
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Subrata Patra
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Trinath Ghosh
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Sumanta Sarkar
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Shekhar Ghosh
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | | | - Debojyoti Roy
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | | | - Meghna Chowdhury
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Surajit Mahaptra
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Antara Paul
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Anup Mazumder
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | | | | | | | - Raja Ray
- Institute of Post-Graduate Medical Education and Research, Kolkata, West Bengal, India
| | - Kuhu Pal
- College of Medicine and JNM Hospital, Kalyani, West Bengal, India
| | - Angshuman Jana
- Bankura Sammilani Medical College, Bankura, West Bengal, India
| | - Goutam Barik
- Medical College and Hospital, Kolkata, West Bengal, India
| | - Swagata Ganguly
- Nil Ratan Sircar Medical College and Hospital, Kolkata, West Bengal, India
| | | | - Dipankar Majhi
- Department of Health and Family Welfare, Government of West Bengal, Kolkata, West Bengal, India
| | | | - Saumitra Das
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Arindam Maitra
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Nidhan K. Biswas
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
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21
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Dang S, Ren L, Wang J. Functional mutations of SARS-CoV-2: implications to viral transmission, pathogenicity and immune escape. Chin Med J (Engl) 2022; 135:1213-1222. [PMID: 35788093 PMCID: PMC9337262 DOI: 10.1097/cm9.0000000000002158] [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: 12/23/2021] [Indexed: 11/27/2022] Open
Abstract
ABSTRACT The pandemic of coronavirus disease 2019 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to major public health challenges globally. The increasing viral lineages identified indicate that the SARS-CoV-2 genome is evolving at a rapid rate. Viral genomic mutations may cause antigenic drift or shift, which are important ways by which SARS-CoV-2 escapes the human immune system and changes its transmissibility and virulence. Herein, we summarize the functional mutations in SARS-CoV-2 genomes to characterize its adaptive evolution to inform the development of vaccination, treatment as well as control and intervention measures.
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Affiliation(s)
- Shengyuan Dang
- National Health Commission of the People's Republic of China Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Lili Ren
- National Health Commission of the People's Republic of China Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Jianwei Wang
- National Health Commission of the People's Republic of China Key Laboratory of Systems Biology of Pathogens and Christophe Mérieux Laboratory, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
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22
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Wang Y, Wu M, Li Y, Yuen HH, He ML. The effects of SARS-CoV-2 infection on modulating innate immunity and strategies of combating inflammatory response for COVID-19 therapy. J Biomed Sci 2022; 29:27. [PMID: 35505345 PMCID: PMC9063252 DOI: 10.1186/s12929-022-00811-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/27/2022] [Indexed: 12/15/2022] Open
Abstract
The global pandemic of COVID-19 has caused huge causality and unquantifiable loss of social wealth. The innate immune response is the first line of defense against SARS-CoV-2 infection. However, strong inflammatory response associated with dysregulation of innate immunity causes severe acute respiratory syndrome (SARS) and death. In this review, we update the current knowledge on how SARS-CoV-2 modulates the host innate immune response for its evasion from host defense and its corresponding pathogenesis caused by cytokine storm. We emphasize Type I interferon response and the strategies of evading innate immune defense used by SARS-CoV-2. We also extensively discuss the cells and their function involved in the innate immune response and inflammatory response, as well as the promises and challenges of drugs targeting excessive inflammation for antiviral treatment. This review would help us to figure out the current challenge questions of SARS-CoV-2 infection on innate immunity and directions for future studies.
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Affiliation(s)
- Yiran Wang
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Mandi Wu
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Yichen Li
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Ho Him Yuen
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Ming-Liang He
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China. .,CityU Shenzhen Research Institute, Nanshan, Shenzhen, China.
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23
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Yavarian J, Nejati A, Salimi V, Shafiei Jandaghi NZ, Sadeghi K, Abedi A, Sharifi Zarchi A, Gouya MM, Mokhtari-Azad T. Whole genome sequencing of SARS-CoV2 strains circulating in Iran during five waves of pandemic. PLoS One 2022; 17:e0267847. [PMID: 35499994 PMCID: PMC9060343 DOI: 10.1371/journal.pone.0267847] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 04/14/2022] [Indexed: 12/23/2022] Open
Abstract
PURPOSE Whole genome sequencing of SARS-CoV2 is important to find useful information about the viral lineages, variants of interests and variants of concern. As there are not enough data about the circulating SARS-CoV2 variants in Iran, we sequenced 54 SARS-CoV2 genomes during the 5 waves of pandemic in Iran. METHODS After viral RNA extraction from clinical samples collected during the COVID-19 pandemic, next generation sequencing was performed using the Nextseq platform. The sequencing data were analyzed and compared with reference sequences. RESULTS During the 1st wave, V and L clades were detected. The second wave was recognized by G, GH and GR clades. Circulating clades during the 3rd wave were GH and GR. In the fourth wave GRY (alpha variant), GK (delta variant) and one GH clade (beta variant) were detected. All viruses in the fifth wave were in clade GK (delta variant). There were different mutations in all parts of the genomes but Spike-D614G, NSP12-P323L, N-R203K and N-G204R were the most frequent mutants in these studied viruses. CONCLUSIONS These findings display the significance of SARS-CoV2 monitoring to help on time detection of possible variants for pandemic control and vaccination plans.
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Affiliation(s)
- Jila Yavarian
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Nejati
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Salimi
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Kaveh Sadeghi
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Adel Abedi
- Mathematics Department, Shahid Beheshti University, Tehran, Iran
| | - Ali Sharifi Zarchi
- Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
| | | | - Talat Mokhtari-Azad
- Virology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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24
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Marques-Pereira C, Pires MN, Gouveia RP, Pereira NN, Caniceiro AB, Rosário-Ferreira N, Moreira IS. SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights. Int J Mol Sci 2022; 23:2986. [PMID: 35328409 PMCID: PMC8948900 DOI: 10.3390/ijms23062986] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 03/07/2022] [Accepted: 03/09/2022] [Indexed: 01/27/2023] Open
Abstract
Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2) is composed of four structural proteins and several accessory non-structural proteins. SARS-CoV-2's most abundant structural protein, Membrane (M) protein, has a pivotal role both during viral infection cycle and host interferon antagonism. This is a highly conserved viral protein, thus an interesting and suitable target for drug discovery. In this paper, we explain the structural nature of M protein homodimer. To do so, we developed and applied a detailed and robust in silico workflow to predict M protein dimeric structure, membrane orientation, and interface characterization. Single Nucleotide Polymorphisms (SNPs) in M protein were retrieved from over 1.2 M SARS-CoV-2 genomes and proteins from the Global Initiative on Sharing All Influenza Data (GISAID) database, 91 of which were located at the predicted dimer interface. Among those, we identified SNPs in Variants of Concern (VOC) and Variants of Interest (VOI). Binding free energy differences were evaluated for dimer interfacial SNPs to infer mutant protein stabilities. A few high-prevalent mutated residues were found to be especially relevant in VOC and VOI. This realization may be a game-changer to structure-driven formulation of new therapeutics for SARS-CoV-2.
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Affiliation(s)
- Catarina Marques-Pereira
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-535 Coimbra, Portugal; (C.M.-P.); (M.N.P.); (R.P.G.); (N.N.P.); (A.B.C.); (N.R.-F.)
- IIIs—Institute for Interdisciplinary Research, University of Coimbra, 3030-789 Coimbra, Portugal
| | - Manuel N. Pires
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-535 Coimbra, Portugal; (C.M.-P.); (M.N.P.); (R.P.G.); (N.N.P.); (A.B.C.); (N.R.-F.)
- Department of Sciences, University of Porto, 4169-007 Porto, Portugal
| | - Raquel P. Gouveia
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-535 Coimbra, Portugal; (C.M.-P.); (M.N.P.); (R.P.G.); (N.N.P.); (A.B.C.); (N.R.-F.)
| | - Nádia N. Pereira
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-535 Coimbra, Portugal; (C.M.-P.); (M.N.P.); (R.P.G.); (N.N.P.); (A.B.C.); (N.R.-F.)
| | - Ana B. Caniceiro
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-535 Coimbra, Portugal; (C.M.-P.); (M.N.P.); (R.P.G.); (N.N.P.); (A.B.C.); (N.R.-F.)
| | - Nícia Rosário-Ferreira
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-535 Coimbra, Portugal; (C.M.-P.); (M.N.P.); (R.P.G.); (N.N.P.); (A.B.C.); (N.R.-F.)
- CQC—Coimbra Chemistry Center, Chemistry Department, Faculty of Science and Technology, University of Coimbra, 3004-535 Coimbra, Portugal
| | - Irina S. Moreira
- Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456 Coimbra, Portugal
- Center for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-535 Coimbra, Portugal
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25
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Thakur S, Sasi S, Pillai SG, Nag A, Shukla D, Singhal R, Phalke S, Velu GSK. SARS-CoV-2 Mutations and Their Impact on Diagnostics, Therapeutics and Vaccines. Front Med (Lausanne) 2022; 9:815389. [PMID: 35273977 PMCID: PMC8902153 DOI: 10.3389/fmed.2022.815389] [Citation(s) in RCA: 82] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 01/04/2022] [Indexed: 12/11/2022] Open
Abstract
With the high rate of COVID-19 infections worldwide, the emergence of SARS-CoV-2 variants was inevitable. Several mutations have been identified in the SARS-CoV-2 genome, with the spike protein as one of the mutational hot spots. Specific amino acid substitutions such as D614G and N501Y were found to alter the transmissibility and virulence of the virus. The WHO has classified the variants identified with fitness-enhancing mutations as variants of concern (VOC), variants of interest (VOI) or variants under monitoring (VUM). The VOCs pose an imminent threat as they exhibit higher transmissibility, disease severity and ability to evade vaccine-induced and natural immunity. Here we review the mutational landscape on the SARS-CoV-2 structural and non-structural proteins and their impact on diagnostics, therapeutics and vaccines. We also look at the effectiveness of approved vaccines, antibody therapy and convalescent plasma on the currently prevalent VOCs, which are B.1.17, B.1.351, P.1, B.1.617.2 and B.1.1.529. We further discuss the possible factors influencing mutation rates and future directions.
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Affiliation(s)
- Suresh Thakur
- Trivitron Healthcare Pvt., Ltd., Visakhapatnam, India
| | - Shalitha Sasi
- Blue Horizon International Therapeutic Sciences, Hackensack, NJ, United States
| | | | | | - Dhananjay Shukla
- Department of Biotechnology, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, India
| | - Ritu Singhal
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Disease, New Delhi, India
| | - Sameer Phalke
- Trivitron Healthcare Pvt., Ltd., Visakhapatnam, India
| | - G. S. K. Velu
- Trivitron Healthcare Pvt., Ltd., Visakhapatnam, India
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26
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Colson P, Fantini J, Yahi N, Delerce J, Levasseur A, Fournier PE, Lagier JC, Raoult D, La Scola B. Limited spread of a rare spike E484K-harboring SARS-CoV-2 in Marseille, France. Arch Virol 2022; 167:583-589. [PMID: 35083577 PMCID: PMC8791675 DOI: 10.1007/s00705-021-05331-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 11/05/2021] [Indexed: 01/01/2023]
Abstract
We detected SARS-CoV-2 of PANGO lineage R.1 with the spike substitution E484K in three patients. Eleven other sequences in France and 8,831 worldwide were available from GISAID, 92% originating from Japan. The three genome sequences from our institute were phylogenetically closest to another from Guinea-Conakry, where one of the patients had travelled. These viruses did not exhibit any unusual features in cell culture. Spike structural predictions indicated a 1.3-time higher transmissibility index than for the globally spread B.1.1.7 variant but also an affinity loss for gangliosides that might have slowed dissemination. The spread of new SARS-CoV-2 mutants/variants is still not well understood and therefore difficult to predict, and this hinders implementation of effective preventive measures, including adapted vaccines.
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Affiliation(s)
- Philippe Colson
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005, Marseille, France.
- Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), MEPHI, 27 boulevard Jean Moulin, 13005, Marseille, France.
| | - Jacques Fantini
- Aix-Marseille Univ., INSERM U_1072, 13015, Marseille, France
| | - Nouara Yahi
- Aix-Marseille Univ., INSERM U_1072, 13015, Marseille, France
| | - Jeremy Delerce
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005, Marseille, France
| | - Anthony Levasseur
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005, Marseille, France
- Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), MEPHI, 27 boulevard Jean Moulin, 13005, Marseille, France
| | - Pierre-Edouard Fournier
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005, Marseille, France
- Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), MEPHI, 27 boulevard Jean Moulin, 13005, Marseille, France
| | - Jean-Christophe Lagier
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005, Marseille, France
- Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), MEPHI, 27 boulevard Jean Moulin, 13005, Marseille, France
| | - Didier Raoult
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005, Marseille, France
- Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), MEPHI, 27 boulevard Jean Moulin, 13005, Marseille, France
| | - Bernard La Scola
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, 13005, Marseille, France
- Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Assistance Publique-Hôpitaux de Marseille (AP-HM), MEPHI, 27 boulevard Jean Moulin, 13005, Marseille, France
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27
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Suratekar R, Ghosh P, Niesen MJM, Donadio G, Anand P, Soundararajan V, Venkatakrishnan AJ. High diversity in Delta variant across countries revealed by genome-wide analysis of SARS-CoV-2 beyond the Spike protein. Mol Syst Biol 2022; 18:e10673. [PMID: 35156767 PMCID: PMC8842124 DOI: 10.15252/msb.202110673] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 12/31/2021] [Accepted: 01/07/2022] [Indexed: 12/23/2022] Open
Abstract
The highly contagious Delta variant of SARS-CoV-2 has become a prevalent strain globally and poses a public health challenge around the world. While there has been extensive focus on understanding the amino acid mutations in the Delta variant's Spike protein, the mutational landscape of the rest of the SARS-CoV-2 proteome (25 proteins) remains poorly understood. To this end, we performed a systematic analysis of mutations in all the SARS-CoV-2 proteins from nearly 2 million SARS-CoV-2 genomes from 176 countries/territories. Six highly prevalent missense mutations in the viral life cycle-associated Membrane (I82T), Nucleocapsid (R203M, D377Y), NS3 (S26L), and NS7a (V82A, T120I) proteins are almost exclusive to the Delta variant compared to other variants of concern (mean prevalence across genomes: Delta = 99.74%, Alpha = 0.06%, Beta = 0.09%, and Gamma = 0.22%). Furthermore, we find that the Delta variant harbors a more diverse repertoire of mutations across countries compared to the previously dominant Alpha variant. Overall, our study underscores the high diversity of the Delta variant between countries and identifies a list of amino acid mutations in the Delta variant's proteome for probing the mechanistic basis of pathogenic features such as high viral loads, high transmissibility, and reduced susceptibility against neutralization by vaccines.
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Genomic characterization unravelling the causative role of SARS-CoV-2 Delta variant of lineage B.1.617.2 in 2nd wave of COVID-19 pandemic in Chhattisgarh, India. Microb Pathog 2022; 164:105404. [PMID: 35065253 PMCID: PMC8769534 DOI: 10.1016/j.micpath.2022.105404] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/11/2022] [Accepted: 01/11/2022] [Indexed: 02/07/2023]
Abstract
COVID-19 pandemic 2nd wave catastrophic effect in the state of Chhattisgarh, India, from where no exclusive genomic data yet published, has prompted us to undertake this study to unearth the causative variant. Whole-genome sequencing of SARS-CoV-2 isolated from COVID-19 infected nine vaccinated healthcare workers (HCW), thirty mild/moderate, seventeen severe, and twenty-seven deceased patients, was performed. The significant predominance of the SARS-CoV-2 variant of concern (VOC), Delta (lineage B.1.617.2) identified in sixty-four (77.1%) cases in contrast to B.1 and its sublineage in eleven (13.2%), variant under monitoring (VUM), Kappa (lineage B.1.617.1) in five (6.0%) and another VOC Alpha (lineage B.1.1.7) in three (3.6%) cases respectively (p < 0.05, χ2 = 162.49). 88.8% vaccine breakthrough, 60% mild/moderate, 94.4% severe and 81.5% dead patients were infected by Delta. Kappa presents exclusively in mild/moderate, Alpha in vaccine breakthrough, mild/moderate, and dead patient and B.1 and its sublineages in mild, severe, and dead patient categories. Delta variant spike mutation of T19R, G142D, E156G, L452R, and deletion (F157 and R158) helps in escaping antibody response, T478K and D614G enhance viral affinity with ACE2 receptor while P681R and D950N result in higher replication and transmissibility by cleaving S1/S2 at furin site. We conclude that Delta variant predominant role along with co-occurrence of Kappa, Alpha, and B.1 variant during COVID-19 2nd wave pandemic in Chhattisgarh may pose a potential threat of future outbreak through hybrid variant evolution. Thus, intensive genomic surveillance for monitoring variant evolution and a more efficacious vaccine against the Delta and Alpha variants are required.
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Hebbani AV, Pulakuntla S, Pannuru P, Aramgam S, Badri KR, Reddy VD. COVID-19: comprehensive review on mutations and current vaccines. Arch Microbiol 2021; 204:8. [PMID: 34873656 PMCID: PMC8647783 DOI: 10.1007/s00203-021-02606-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 11/09/2021] [Accepted: 11/22/2021] [Indexed: 12/15/2022]
Abstract
Viral outbreaks had been a threat for the human race for a long time. Several epidemics and pandemics have been reported in the past with serious consequences on human health and subsequent social and economic aspects. According to WHO, viral infections continue to be a major health concern globally. Novel coronavirus, SARS-CoV-2 (Severe acute respiratory syndrome coronavirus-2) causes the most recent infectious pandemic disease, COVID-19 (Coronavirus disease-19). As of now, there were 249 million infections of COVID-19 worldwide with a high mortality of more than 5 million deaths reported; and the number of new additional cases is drastically increasing. Development of therapies to treat the infected cases and prophylactic agents including vaccines that are effective towards different variants are crucial to curtail the COVID-19 pandemic. Owing to the fact that there is a high mortality and morbidity rate along with the risk of virus causing further epidemic outbursts, development of additional effective therapeutic and preventive strategies are highly warranted. Prevention, early detection and treatment will reduce the spread of COVID-19 pandemic. The present review highlights the novel mutations and therapeutic updates associated with coronaviruses along with the clinical manifestations-diagnosis, clinical management and, prophylactic and therapeutic strategies of COVID-19 infection.
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Affiliation(s)
| | - Swetha Pulakuntla
- Department of Biochemistry, REVA University, Bengaluru, 560064, India
| | - Padmavathi Pannuru
- DR Biosciences, Research and Development Institute, Bettahalasur, Bengaluru, 562157, India
| | - Sreelatha Aramgam
- Department of Biochemistry, REVA University, Bengaluru, 560064, India
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Kameswara Rao Badri
- Department of Pharmacology and Toxicology, Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA, 30310, USA.
- Clinical Analytical Chemistry Laboratory, Clinical Research Center, Morehouse School of Medicine, Atlanta, GA, 30310, USA.
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Ramesh S, Govindarajulu M, Parise RS, Neel L, Shankar T, Patel S, Lowery P, Smith F, Dhanasekaran M, Moore T. Emerging SARS-CoV-2 Variants: A Review of Its Mutations, Its Implications and Vaccine Efficacy. Vaccines (Basel) 2021; 9:1195. [PMID: 34696303 PMCID: PMC8537675 DOI: 10.3390/vaccines9101195] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/26/2021] [Accepted: 10/08/2021] [Indexed: 12/21/2022] Open
Abstract
The widespread increase in multiple severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants is causing a significant health concern in the United States and worldwide. These variants exhibit increased transmissibility, cause more severe disease, exhibit evasive immune properties, impair neutralization by antibodies from vaccinated individuals or convalescence sera, and reinfection. The Centers for Disease Control and Prevention (CDC) has classified SARS-CoV-2 variants into variants of interest, variants of concern, and variants of high consequence. Currently, four variants of concern (B.1.1.7, B.1.351, P.1, and B.1.617.2) and several variants of interests (B.1.526, B.1.525, and P.2) are characterized and are essential for close monitoring. In this review, we discuss the different SARS-CoV-2 variants, emphasizing variants of concern circulating the world and highlight the various mutations and how these mutations affect the characteristics of the virus. In addition, we discuss the most common vaccines and the various studies concerning the efficacy of these vaccines against different variants of concern.
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Affiliation(s)
- Sindhu Ramesh
- Department of Drug Discovery and Development, Auburn University Harrison School of Pharmacy, Auburn, AL 36849, USA; (S.R.); (M.G.); (R.S.P.); (L.N.); (P.L.); (F.S.); (M.D.)
| | - Manoj Govindarajulu
- Department of Drug Discovery and Development, Auburn University Harrison School of Pharmacy, Auburn, AL 36849, USA; (S.R.); (M.G.); (R.S.P.); (L.N.); (P.L.); (F.S.); (M.D.)
| | - Rachel S. Parise
- Department of Drug Discovery and Development, Auburn University Harrison School of Pharmacy, Auburn, AL 36849, USA; (S.R.); (M.G.); (R.S.P.); (L.N.); (P.L.); (F.S.); (M.D.)
| | - Logan Neel
- Department of Drug Discovery and Development, Auburn University Harrison School of Pharmacy, Auburn, AL 36849, USA; (S.R.); (M.G.); (R.S.P.); (L.N.); (P.L.); (F.S.); (M.D.)
| | - Tharanath Shankar
- Department of Internal Medicine, Ramaiah Medical College and Hospital, Bengaluru 560054, Karnataka, India;
| | - Shriya Patel
- Department of Neuroscience, Middlebury College, Middlebury, VT 05753, USA;
| | - Payton Lowery
- Department of Drug Discovery and Development, Auburn University Harrison School of Pharmacy, Auburn, AL 36849, USA; (S.R.); (M.G.); (R.S.P.); (L.N.); (P.L.); (F.S.); (M.D.)
| | - Forrest Smith
- Department of Drug Discovery and Development, Auburn University Harrison School of Pharmacy, Auburn, AL 36849, USA; (S.R.); (M.G.); (R.S.P.); (L.N.); (P.L.); (F.S.); (M.D.)
| | - Muralikrishnan Dhanasekaran
- Department of Drug Discovery and Development, Auburn University Harrison School of Pharmacy, Auburn, AL 36849, USA; (S.R.); (M.G.); (R.S.P.); (L.N.); (P.L.); (F.S.); (M.D.)
| | - Timothy Moore
- Department of Drug Discovery and Development, Auburn University Harrison School of Pharmacy, Auburn, AL 36849, USA; (S.R.); (M.G.); (R.S.P.); (L.N.); (P.L.); (F.S.); (M.D.)
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Long-Term SARS-CoV-2 Specific Immunity Is Affected by the Severity of Initial COVID-19 and Patient Age. J Clin Med 2021; 10:jcm10194606. [PMID: 34640623 PMCID: PMC8509457 DOI: 10.3390/jcm10194606] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 09/25/2021] [Accepted: 10/02/2021] [Indexed: 11/17/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is currently the greatest medical challenge. Although crucial to the future management of the pandemic, the factors affecting the persistence of long-term SARS-CoV-2 immunity are not well understood. Therefore, we determined the extent of important correlates of SARS-CoV-2 specific protection in 200 unvaccinated convalescents after COVID-19. To investigate the effective memory response against the virus, SARS-CoV-2 specific T cell and humoral immunity (including virus-neutralizing antibodies) was determined over a period of one to eleven months. SARS-CoV-2 specific immune responses were present in 90% of individual patients. Notably, immunosuppressed patients did not have long-term SARS-CoV-2 specific T cell immunity. In our cohort, the severity of the initial illness influenced SARS-CoV-2 specific T cell immune responses and patients’ humoral immune responses to Spike (S) protein over the long-term, whereas the patients’ age influenced Membrane (M) protein-specific T cell responses. Thus, our study not only demonstrated the long-term persistence of SARS-CoV-2 specific immunity, it also determined COVID-19 severity and patient age as significant factors affecting long-term immunity.
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32
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Yang J, Yan Y, Zhong W. Application of omics technology to combat the COVID-19 pandemic. MedComm (Beijing) 2021; 2:381-401. [PMID: 34766152 PMCID: PMC8554664 DOI: 10.1002/mco2.90] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 08/22/2021] [Accepted: 08/24/2021] [Indexed: 12/17/2022] Open
Abstract
As of August 27, 2021, the ongoing pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread to over 220 countries, areas, and territories. Thus far, 214,468,601 confirmed cases, including 4,470,969 deaths, have been reported to the World Health Organization. To combat the COVID-19 pandemic, multiomics-based strategies, including genomics, transcriptomics, proteomics, and metabolomics, have been used to study the diagnosis methods, pathogenesis, prognosis, and potential drug targets of COVID-19. In order to help researchers and clinicians to keep up with the knowledge of COVID-19, we summarized the most recent progresses reported in omics-based research papers. This review discusses omics-based approaches for studying COVID-19, summarizing newly emerged SARS-CoV-2 variants as well as potential diagnostic methods, risk factors, and pathological features of COVID-19. This review can help researchers and clinicians gain insight into COVID-19 features, providing direction for future drug development and guidance for clinical treatment, so that patients can receive appropriate treatment as soon as possible to reduce the risk of disease progression.
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Affiliation(s)
- Jingjing Yang
- National Engineering Research Center for the Emergency DrugBeijing Institute of Pharmacology and ToxicologyBeijingChina
- School of Pharmaceutical SciencesHainan UniversityHaikouHainanChina
| | - Yunzheng Yan
- National Engineering Research Center for the Emergency DrugBeijing Institute of Pharmacology and ToxicologyBeijingChina
| | - Wu Zhong
- National Engineering Research Center for the Emergency DrugBeijing Institute of Pharmacology and ToxicologyBeijingChina
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Shen L, Bard JD, Triche TJ, Judkins AR, Biegel JA, Gai X. Rapidly emerging SARS-CoV-2 B.1.1.7 sub-lineage in the United States of America with spike protein D178H and membrane protein V70L mutations. Emerg Microbes Infect 2021; 10:1293-1299. [PMID: 34125658 PMCID: PMC8238060 DOI: 10.1080/22221751.2021.1943540] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The SARS-CoV-2 B.1.1.7 lineage is highly infectious and as of April 2021 accounted for 92% of COVID-19 cases in Europe and 59% of COVID-19 cases in the U.S. It is defined by the N501Y mutation in the receptor-binding domain (RBD) of the Spike (S) protein, and a few other mutations. These include two mutations in the N terminal domain (NTD) of the S protein, HV69-70del and Y144del (also known as Y145del due to the presence of tyrosine at both positions). We recently identified several emerging SARS-CoV-2 variants of concerns, characterized by Membrane (M) protein mutations, including I82T and V70L. We now identify a sub-lineage of B.1.1.7 that emerged through sequential acquisitions of M:V70L in November 2020 followed by a novel S:D178H mutation first observed in early February 2021. The percentage of B.1.1.7 isolates in the US that belong to this sub-lineage increased from 0.15% in February 2021 to 1.8% in April 2021. To date, this sub-lineage appears to be U.S.-specific with reported cases in 31 states, including Hawaii. As of April 2021, it constituted 36.8% of all B.1.1.7 isolates in Washington. Phylogenetic analysis and transmission inference with Nextstrain suggest this sub-lineage likely originated in either California or Washington. Structural analysis revealed that the S:D178H mutation is in the NTD of the S protein and close to two other signature mutations of B.1.1.7, HV69-70del and Y144del. It is surface exposed and may alter NTD tertiary configuration or accessibility, and thus has the potential to affect neutralization by NTD directed antibodies.
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Affiliation(s)
- Lishuang Shen
- Children's Hospital Los Angles, Department of Pathology and Laboratory Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Jennifer Dien Bard
- Children's Hospital Los Angles, Department of Pathology and Laboratory Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Timothy J Triche
- Children's Hospital Los Angles, Department of Pathology and Laboratory Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Alexander R Judkins
- Children's Hospital Los Angles, Department of Pathology and Laboratory Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Jaclyn A Biegel
- Children's Hospital Los Angles, Department of Pathology and Laboratory Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Xiaowu Gai
- Children's Hospital Los Angles, Department of Pathology and Laboratory Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
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