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Sharma D, Chakraborty S. RNA editing sites and triplet usage in exomes of bat RNA virus genomes of the family Paramyxoviridae. Microb Pathog 2024; 194:106796. [PMID: 39025379 DOI: 10.1016/j.micpath.2024.106796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 07/09/2024] [Accepted: 07/15/2024] [Indexed: 07/20/2024]
Abstract
Bats contain a diverse spectrum of viral species in their bodies. The RNA virus family Paramyxoviridae tends to infect several vertebrate species, which are accountable for a variety of devastating infections in both humans and animals. Viruses of this kind include measles, mumps, and Hendra. Some synonymous codons are favoured over others in mRNAs during gene-to-protein synthesis process. Such phenomenon is termed as codon usage bias (CUB). Our research emphasized many aspects that shape the CUB of genes in the Paramyxoviridae family found in bats. Here, the nitrogenous base A occurred the most. AT was found to be abundant in the coding sequences of the Paramyxoviridae family. RSCU data revealed that A or T ending codons occurred more frequently than predicted. Furthermore, 3 overrepresented codons (CAT, AGA, and GCA) and 7 underrepresented codons (CCG, TCG, CGC, CGG, CGT, GCG and ACG) were detected in the viral genomes. Correspondence analysis, neutrality plot, and parity plots highlight the combined impact of mutational pressure and natural selection on CUB. The neutrality plot of GC12 against GC3 yielded a regression coefficient value of 0.366, indicating that natural selection had a significant (63.4 %) impact. Moreover, RNA editing analysis was done, which revealed the highest frequency of C to T mutations. The results of our research revealed the pattern of codon usage and RNA editing sites in Paramyxoviridae genomes.
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Affiliation(s)
- Deepika Sharma
- Department of Biotechnology, Assam University, Silchar, 788011, Assam, India.
| | - Supriyo Chakraborty
- Department of Biotechnology, Assam University, Silchar, 788011, Assam, India.
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2
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Hyug Choi J, Sook Jun M, Yong Jeon J, Kim HS, Kyung Kim Y, Ho Jeon C, Hwan Choi S, Sun Kim D, Han MH, Won Oh J. Global lineage evolution pattern of sars-cov-2 in Africa, America, Europe, and Asia: A comparative analysis of variant clusters and their relevance across continents. J Transl Int Med 2023; 11:410-422. [PMID: 38130632 PMCID: PMC10732492 DOI: 10.2478/jtim-2023-0118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Abstract
Objective The objective of this study is to provide a comparative analysis of variant clusters and their relevance across Africa, America, Europe, and Asia, in order to understand the evolutionary patterns of the virus across different regions and to inform the development of targeted interventions and genomic surveillance eforts. Methods The study analyzed the global lineage evolution pattern of 74, 075 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from 32 countries across four continents, focusing on variant clusters and their relevance across regions. Variants were weighted according to their hierarchical level. The correlation between variants was visualized through Dimensionality reduction analysis and Pairwise Pearson's correlation. We presented a reconstructed phylogenetic tree based on correlation analysis and variant weights. Results The analysis revealed that each continent had distinct variant clusters and different evolutionary patterns. The Americas had two clustered variants before lineage divergence and a downstream confluence lineage, Europe had bifurcation into two global lineages with an early occurrence of certain cluster while Asia had a downstream confluence of two large lineages diverging by two distinct clusters. Based on the cluster patterns of shared variants of the SARS-CoV-2 virus, Africa demonstrated a relatively clear distinction among three distinct regions. Conclusions The study provides insights into the evolutionary patterns of SARS-CoV-2 and highlights the importance of international collaboration in tracking and responding to emerging variants. The study found that the global pandemic was driven by Omicron variants that evolved with significant differences between countries and regions, and with different patterns across continents.
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Affiliation(s)
- June Hyug Choi
- Department of Anatomy, BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Mee Sook Jun
- Department of Internal Medicine, Chungbuk National University, Cheongju, Yonsei University-Industry Foundation, Seoul, Republic of Korea
| | | | - Hae-Suk Kim
- Theragen Bio Co., Ltd., Seongnam-si, Republic of Korea
| | - Yu Kyung Kim
- Department of Clinical Pathology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Chang Ho Jeon
- Department of Laboratory Medicine, Catholic University of Daegu School of Medicine, Daegu, Republic of Korea
| | - Seock Hwan Choi
- Department of Urology, School of Medicine, BioMedical Research Institute, Kyungpook National University Hospital, Kyungpook National University, Daegu, Republic of Korea
| | - Dong Sun Kim
- Department of Anatomy, BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Man-Hoon Han
- Department of Pathology, School of Medicine, BioMedical Research Institute, Kyungpook National University Hospital, Kyungpook National University, Daegu, Republic of Korea
| | - Ji Won Oh
- Department of Anatomy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
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El-Haddad K, Adhikari TM, Tu ZJ, Cheng YW, Leng X, Zhang X, Rhoads D, Ko JS, Worley S, Li J, Rubin BP, Esper FP. Intra-host mutation rate of acute SARS-CoV-2 infection during the initial pandemic wave. Virus Genes 2023; 59:653-661. [PMID: 37310519 DOI: 10.1007/s11262-023-02011-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 05/22/2023] [Indexed: 06/14/2023]
Abstract
SARS-CoV-2 mutation is minimized through a proofreading function encoded by NSP-14. Most estimates of the SARS-CoV-2 mutation rate are derived from population based sequence data. Our understanding of SARS-CoV-2 evolution might be enhanced through analysis of intra-host viral mutation rates in specific populations. Viral genome analysis was performed between paired samples and mutations quantified at allele frequencies (AF) ≥ 0.25, ≥ 0.5 and ≥ 0.75. Mutation rate was determined employing F81 and JC69 evolution models and compared between isolates with (ΔNSP-14) and without (wtNSP-14) non-synonymous mutations in NSP-14 and by patient comorbidity. Forty paired samples with median interval of 13 days [IQR 8.5-20] were analyzed. The estimated mutation rate by F81 modeling was 93.6 (95%CI 90.8-96.4], 40.7 (95%CI 38.9-42.6) and 34.7 (95%CI 33.0-36.4) substitutions/genome/year at AF ≥ 0.25, ≥ 0.5, ≥ 0.75 respectively. Mutation rate in ΔNSP-14 were significantly elevated at AF ≥ 0.25 vs wtNSP-14. Patients with immune comorbidities had higher mutation rate at all allele frequencies. Intra-host SARS-CoV-2 mutation rates are substantially higher than those reported through population analysis. Virus strains with altered NSP-14 have accelerated mutation rate at low AF. Immunosuppressed patients have elevated mutation rate at all AF. Understanding intra-host virus evolution will aid in current and future pandemic modeling.
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Affiliation(s)
- Kim El-Haddad
- Center for Pediatric Infectious Disease, Cleveland Clinic Children's, R3, 9500 Euclid Avenue, Cleveland, 44195 , OH, USA.
| | - Thamali M Adhikari
- Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Zheng Jin Tu
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Yu-Wei Cheng
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Xiaoyi Leng
- Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Xiangyi Zhang
- Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Daniel Rhoads
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jennifer S Ko
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Sarah Worley
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Jing Li
- Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Brian P Rubin
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Frank P Esper
- Center for Pediatric Infectious Disease, Cleveland Clinic Children's, R3, 9500 Euclid Avenue, Cleveland, 44195 , OH, USA.
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Niveditha D, Khan S, Khilari A, Nadkarni S, Bhalerao U, Kadam P, Yadav R, Kanekar JB, Shah N, Likhitkar B, Sawant R, Thakur S, Tupekar M, Nagar D, Rao AG, Jagtap R, Jogi S, Belekar M, Pathak M, Shah P, Ranade S, Phadke N, Das R, Joshi S, Karyakarte R, Ghose A, Kadoo N, Shashidhara LS, Monteiro JM, Shanmugam D, Raghunathan A, Karmodiya K. A tale of two waves: Delineating diverse genomic and transmission landscapes driving the COVID-19 pandemic in Pune, India. J Infect Public Health 2023; 16:1290-1300. [PMID: 37331277 DOI: 10.1016/j.jiph.2023.06.004] [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: 02/07/2023] [Revised: 05/30/2023] [Accepted: 06/06/2023] [Indexed: 06/20/2023] Open
Abstract
BACKGROUND Modern response to pandemics, critical for effective public health measures, is shaped by the availability and integration of diverse epidemiological outbreak data. Tracking variants of concern (VOC) is integral to understanding the evolution of SARS-CoV-2 in space and time, both at the local level and global context. This potentially generates actionable information when integrated with epidemiological outbreak data. METHODS A city-wide network of researchers, clinicians, and pathology diagnostic laboratories was formed for genome surveillance of COVID-19 in Pune, India. The genomic landscapes of 10,496 sequenced samples of SARS-CoV-2 driving peaks of infection in Pune between December-2020 to March-2022, were determined. As a modern response to the pandemic, a "band of five" outbreak data analytics approach was used. This integrated the genomic data (Band 1) of the virus through molecular phylogenetics with key outbreak data including sample collection dates and case numbers (Band 2), demographics like age and gender (Band 3-4), and geospatial mapping (Band 5). RESULTS The transmission dynamics of VOCs in 10,496 sequenced samples identified B.1.617.2 (Delta) and BA(x) (Omicron formerly known as B.1.1.529) variants as drivers of the second and third peaks of infection in Pune. Spike Protein mutational profiling during pre and post-Omicron VOCs indicated differential rank ordering of high-frequency mutations in specific domains that increased the charge and binding properties of the protein. Time-resolved phylogenetic analysis of Omicron sub-lineages identified a highly divergent BA.1 from Pune in addition to recombinant X lineages, XZ, XQ, and XM. CONCLUSIONS The band of five outbreak data analytics approach, which integrates five different types of data, highlights the importance of a strong surveillance system with high-quality meta-data for understanding the spatiotemporal evolution of the SARS-CoV-2 genome in Pune. These findings have important implications for pandemic preparedness and could be critical tools for understanding and responding to future outbreaks.
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Affiliation(s)
- Divya Niveditha
- Chemical Engineering & Process Development Division, CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411008, India
| | - Soumen Khan
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India
| | - Ajinkya Khilari
- Biochemical Sciences Division, CSIR - National Chemical Laboratory, Dr. Homi Bhabha Road, 411008, Pune, India.; Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC, Ghaziabad 201002, India
| | - Sanica Nadkarni
- Chemical Engineering & Process Development Division, CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411008, India
| | - Unnati Bhalerao
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India
| | - Pradnya Kadam
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India
| | - Ritu Yadav
- Chemical Engineering & Process Development Division, CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411008, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC, Ghaziabad 201002, India
| | - Jugal B Kanekar
- Biochemical Sciences Division, CSIR - National Chemical Laboratory, Dr. Homi Bhabha Road, 411008, Pune, India.; Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC, Ghaziabad 201002, India
| | - Nikita Shah
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India
| | - Bhagyashree Likhitkar
- Biochemical Sciences Division, CSIR - National Chemical Laboratory, Dr. Homi Bhabha Road, 411008, Pune, India.; Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC, Ghaziabad 201002, India
| | - Rutuja Sawant
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India
| | - Shikha Thakur
- Chemical Engineering & Process Development Division, CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411008, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC, Ghaziabad 201002, India
| | - Manisha Tupekar
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India
| | - Dhriti Nagar
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India
| | - Anjani G Rao
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India
| | - Rutuja Jagtap
- Chemical Engineering & Process Development Division, CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411008, India
| | - Shraddha Jogi
- Chemical Engineering & Process Development Division, CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411008, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC, Ghaziabad 201002, India
| | - Madhuri Belekar
- Chemical Engineering & Process Development Division, CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411008, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC, Ghaziabad 201002, India
| | - Maitreyee Pathak
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India
| | - Priyanki Shah
- The Pune Knowledge Cluster (PKC), Savitribai Phule Pune University, Ganeshkhind Road, 411007 Pune, India
| | | | - Nikhil Phadke
- GenePath Diagnostics India Private Limited, Pune 411004, India
| | - Rashmita Das
- Byramjee Jeejeebhoy Government Medical College (BJGMC), Jai Prakash Narayan Road, Pune 411001, India
| | - Suvarna Joshi
- Byramjee Jeejeebhoy Government Medical College (BJGMC), Jai Prakash Narayan Road, Pune 411001, India
| | - Rajesh Karyakarte
- Byramjee Jeejeebhoy Government Medical College (BJGMC), Jai Prakash Narayan Road, Pune 411001, India
| | - Aurnab Ghose
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India
| | - Narendra Kadoo
- Biochemical Sciences Division, CSIR - National Chemical Laboratory, Dr. Homi Bhabha Road, 411008, Pune, India.; Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC, Ghaziabad 201002, India
| | - L S Shashidhara
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India; The Pune Knowledge Cluster (PKC), Savitribai Phule Pune University, Ganeshkhind Road, 411007 Pune, India
| | - Joy Merwin Monteiro
- Department of Earth and Climate Science, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India; Department of Data Science, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India
| | - Dhanasekaran Shanmugam
- Biochemical Sciences Division, CSIR - National Chemical Laboratory, Dr. Homi Bhabha Road, 411008, Pune, India.; Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC, Ghaziabad 201002, India
| | - Anu Raghunathan
- Chemical Engineering & Process Development Division, CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune 411008, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC, Ghaziabad 201002, India.
| | - Krishanpal Karmodiya
- Department of Biology, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India.
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Saldivar-Espinoza B, Garcia-Segura P, Novau-Ferré N, Macip G, Martínez R, Puigbò P, Cereto-Massagué A, Pujadas G, Garcia-Vallve S. The Mutational Landscape of SARS-CoV-2. Int J Mol Sci 2023; 24:ijms24109072. [PMID: 37240420 DOI: 10.3390/ijms24109072] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
Mutation research is crucial for detecting and treating SARS-CoV-2 and developing vaccines. Using over 5,300,000 sequences from SARS-CoV-2 genomes and custom Python programs, we analyzed the mutational landscape of SARS-CoV-2. Although almost every nucleotide in the SARS-CoV-2 genome has mutated at some time, the substantial differences in the frequency and regularity of mutations warrant further examination. C>U mutations are the most common. They are found in the largest number of variants, pangolin lineages, and countries, which indicates that they are a driving force behind the evolution of SARS-CoV-2. Not all SARS-CoV-2 genes have mutated in the same way. Fewer non-synonymous single nucleotide variations are found in genes that encode proteins with a critical role in virus replication than in genes with ancillary roles. Some genes, such as spike (S) and nucleocapsid (N), show more non-synonymous mutations than others. Although the prevalence of mutations in the target regions of COVID-19 diagnostic RT-qPCR tests is generally low, in some cases, such as for some primers that bind to the N gene, it is significant. Therefore, ongoing monitoring of SARS-CoV-2 mutations is crucial. The SARS-CoV-2 Mutation Portal provides access to a database of SARS-CoV-2 mutations.
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Affiliation(s)
- Bryan Saldivar-Espinoza
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Pol Garcia-Segura
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Nil Novau-Ferré
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Guillem Macip
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | | | - Pere Puigbò
- Department of Biology, University of Turku, 20500 Turku, Finland
- Department of Biochemistry and Biotechnology, Rovira i Virgili University, 43007 Tarragona, Spain
- Eurecat, Technology Centre of Catalonia, Unit of Nutrition and Health, 43204 Reus, Spain
| | - Adrià Cereto-Massagué
- EURECAT Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), 43204 Reus, Spain
| | - Gerard Pujadas
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Santiago Garcia-Vallve
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
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6
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Dudley JP. APOBECs: Our fickle friends? PLoS Pathog 2023; 19:e1011364. [PMID: 37200235 DOI: 10.1371/journal.ppat.1011364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2023] Open
Affiliation(s)
- Jaquelin P Dudley
- Department of Molecular Biosciences and LaMontagne Center for Infectious Disease, The University of Texas at Austin, Austin, Texas, United States of America
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7
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Zabidi NZ, Liew HL, Farouk IA, Puniyamurti A, Yip AJW, Wijesinghe VN, Low ZY, Tang JW, Chow VTK, Lal SK. Evolution of SARS-CoV-2 Variants: Implications on Immune Escape, Vaccination, Therapeutic and Diagnostic Strategies. Viruses 2023; 15:v15040944. [PMID: 37112923 PMCID: PMC10145020 DOI: 10.3390/v15040944] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 03/29/2023] [Accepted: 03/31/2023] [Indexed: 04/29/2023] Open
Abstract
The COVID-19 pandemic caused by SARS-CoV-2 is associated with a lower fatality rate than its SARS and MERS counterparts. However, the rapid evolution of SARS-CoV-2 has given rise to multiple variants with varying pathogenicity and transmissibility, such as the Delta and Omicron variants. Individuals with advanced age or underlying comorbidities, including hypertension, diabetes and cardiovascular diseases, are at a higher risk of increased disease severity. Hence, this has resulted in an urgent need for the development of better therapeutic and preventive approaches. This review describes the origin and evolution of human coronaviruses, particularly SARS-CoV-2 and its variants as well as sub-variants. Risk factors that contribute to disease severity and the implications of co-infections are also considered. In addition, various antiviral strategies against COVID-19, including novel and repurposed antiviral drugs targeting viral and host proteins, as well as immunotherapeutic strategies, are discussed. We critically evaluate strategies of current and emerging vaccines against SARS-CoV-2 and their efficacy, including immune evasion by new variants and sub-variants. The impact of SARS-CoV-2 evolution on COVID-19 diagnostic testing is also examined. Collectively, global research and public health authorities, along with all sectors of society, need to better prepare against upcoming variants and future coronavirus outbreaks.
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Affiliation(s)
- Nur Zawanah Zabidi
- School of Science, Monash University Malaysia, Subang Jaya 47500, Selangor, Malaysia
| | - Hern Liang Liew
- School of Science, Monash University Malaysia, Subang Jaya 47500, Selangor, Malaysia
| | - Isra Ahmad Farouk
- School of Science, Monash University Malaysia, Subang Jaya 47500, Selangor, Malaysia
| | - Ashwini Puniyamurti
- School of Science, Monash University Malaysia, Subang Jaya 47500, Selangor, Malaysia
| | - Ashley Jia Wen Yip
- School of Science, Monash University Malaysia, Subang Jaya 47500, Selangor, Malaysia
| | | | - Zheng Yao Low
- School of Science, Monash University Malaysia, Subang Jaya 47500, Selangor, Malaysia
| | - Julian W Tang
- Department of Respiratory Sciences, University of Leicester, Leicester LE1 7RH, UK
| | - Vincent T K Chow
- Infectious Diseases Translational Research Program, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
| | - Sunil K Lal
- School of Science, Monash University Malaysia, Subang Jaya 47500, Selangor, Malaysia
- Tropical Medicine & Biology Platform, Monash University, Subang Jaya 47500, Selangor, Malaysia
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8
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Chen J, Wang R, Hozumi Y, Liu G, Qiu Y, Wei X, Wei GW. Emerging Dominant SARS-CoV-2 Variants. J Chem Inf Model 2023; 63:335-342. [PMID: 36577010 PMCID: PMC9843632 DOI: 10.1021/acs.jcim.2c01352] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Indexed: 12/29/2022]
Abstract
Accurate and reliable forecasting of emerging dominant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants enables policymakers and vaccine makers to get prepared for future waves of infections. The last three waves of SARS-CoV-2 infections caused by dominant variants, Omicron (BA.1), BA.2, and BA.4/BA.5, were accurately foretold by our artificial intelligence (AI) models built with biophysics, genotyping of viral genomes, experimental data, algebraic topology, and deep learning. On the basis of newly available experimental data, we analyzed the impacts of all possible viral spike (S) protein receptor-binding domain (RBD) mutations on the SARS-CoV-2 infectivity. Our analysis sheds light on viral evolutionary mechanisms, i.e., natural selection through infectivity strengthening and antibody resistance. We forecast that BP.1, BL*, BA.2.75*, BQ.1*, and particularly BN.1* have a high potential to become the new dominant variants to drive the next surge. Our key projection about these variants dominance made on Oct. 18, 2022 (see arXiv:2210.09485) became reality in late November 2022.
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Affiliation(s)
- Jiahui Chen
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Rui Wang
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Yuta Hozumi
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Gengzhuo Liu
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Yuchi Qiu
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Xiaoqi Wei
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Guo-Wei Wei
- Department of Mathematics, Michigan State University, MI 48824, USA
- Department of Electrical and Computer Engineering, Michigan State University, MI 48824, USA
- Department of Biochemistry and Molecular Biology, Michigan State University, MI 48824, USA
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9
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Tsang HF, Yu ACS, Yim AKY, Jin N, Wu YO, Cheng HYL, Cheung WL, Leung WMS, Lam KW, Hung TN, Chan L, Chiou J, Pei XM, Lee OYA, Cho WCS, Wong SCC. The clinical characteristics of pediatric patients infected by SARS-CoV-2 Omicron variant and whole viral genome sequencing analysis. PLoS One 2023; 18:e0282389. [PMID: 36897843 PMCID: PMC10004545 DOI: 10.1371/journal.pone.0282389] [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: 11/05/2022] [Accepted: 02/13/2023] [Indexed: 03/11/2023] Open
Abstract
Pediatric population was generally less affected clinically by SARS-CoV-2 infection. Few pediatric cases of COVID-19 have been reported compared to those reported in infected adults. However, a rapid increase in the hospitalization rate of SARS-CoV-2 infected pediatric patients was observed during Omicron variant dominated COVID-19 outbreak. In this study, we analyzed the B.1.1.529 (Omicron) genome sequences collected from pediatric patients by whole viral genome amplicon sequencing using Illumina next generation sequencing platform, followed by phylogenetic analysis. The demographic, epidemiologic and clinical data of these pediatric patients are also reported in this study. Fever, cough, running nose, sore throat and vomiting were the more commonly reported symptoms in children infected by Omicron variant. A novel frameshift mutation was found in the ORF1b region (NSP12) of the genome of Omicron variant. Seven mutations were identified in the target regions of the WHO listed SARS-CoV-2 primers and probes. On protein level, eighty-three amino acid substitutions and fifteen amino acid deletions were identified. Our results indicate that asymptomatic infection and transmission among children infected by Omicron subvariants BA.2.2 and BA.2.10.1 are not common. Omicron may have different pathogenesis in pediatric population.
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Affiliation(s)
- Hin Fung Tsang
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong, China
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China
- * E-mail: (HFT); (SCCW)
| | | | | | - Nana Jin
- Codex Genetics Limited, Hong Kong, China
| | - Yu On Wu
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China
| | - Hennie Yuk Lin Cheng
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China
| | - WL Cheung
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China
| | - Wai Ming Stanley Leung
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong, China
| | - Ka Wai Lam
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong, China
| | - Tin Nok Hung
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong, China
| | - Loiston Chan
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong, China
| | - Jiachi Chiou
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China
| | - Xiao Meng Pei
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China
| | - On Ying Angela Lee
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China
| | | | - Sze Chuen Cesar Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China
- * E-mail: (HFT); (SCCW)
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10
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Abulsoud AI, El-Husseiny HM, El-Husseiny AA, El-Mahdy HA, Ismail A, Elkhawaga SY, Khidr EG, Fathi D, Mady EA, Najda A, Algahtani M, Theyab A, Alsharif KF, Albrakati A, Bayram R, Abdel-Daim MM, Doghish AS. Mutations in SARS-CoV-2: Insights on structure, variants, vaccines, and biomedical interventions. Biomed Pharmacother 2023; 157:113977. [PMID: 36370519 PMCID: PMC9637516 DOI: 10.1016/j.biopha.2022.113977] [Citation(s) in RCA: 67] [Impact Index Per Article: 67.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 10/29/2022] [Accepted: 11/03/2022] [Indexed: 11/09/2022] Open
Abstract
COVID-19 is a worldwide pandemic caused by SARS-coronavirus-2 (SARS-CoV-2). Less than a year after the emergence of the Covid-19 pandemic, many vaccines have arrived on the market with innovative technologies in the field of vaccinology. Based on the use of messenger RNA (mRNA) encoding the Spike SARS-Cov-2 protein or on the use of recombinant adenovirus vectors enabling the gene encoding the Spike protein to be introduced into our cells, these strategies make it possible to envisage the vaccination in a new light with tools that are more scalable than the vaccine strategies used so far. Faced with the appearance of new variants, which will gradually take precedence over the strain at the origin of the pandemic, these new strategies will allow a much faster update of vaccines to fight against these new variants, some of which may escape neutralization by vaccine antibodies. However, only a vaccination policy based on rapid and massive vaccination of the population but requiring a supply of sufficient doses could make it possible to combat the emergence of these variants. Indeed, the greater the number of infected individuals, the faster the virus multiplies, with an increased risk of the emergence of variants in these RNA viruses. This review will discuss SARS-CoV-2 pathophysiology and evolution approaches in altered transmission platforms and emphasize the different mutations and how they influence the virus characteristics. Also, this article summarizes the common vaccines and the implication of the mutations and genetic variety of SARS-CoV-2 on the COVID-19 biomedical arbitrations.
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Affiliation(s)
- Ahmed I Abulsoud
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt; Department of Biochemistry and Biotechnology, Faculty of Pharmacy, Heliopolis University, Cairo 11785, Egypt
| | - Hussein M El-Husseiny
- Laboratory of Veterinary Surgery, Department of Veterinary Medicine, Faculty of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai Cho, Fuchu-shi, Tokyo 183-8509, Japan; Department of Surgery, Anesthesiology, and Radiology, Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh, Elqaliobiya 13736, Egypt.
| | - Ahmed A El-Husseiny
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt; Department of Biochemistry, Faculty of Pharmacy, Egyptian Russian University, Badr City 11829, Cairo, Egypt
| | - Hesham A El-Mahdy
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt
| | - Ahmed Ismail
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt
| | - Samy Y Elkhawaga
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt
| | - Emad Gamil Khidr
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt
| | - Doaa Fathi
- Department of Biochemistry and Biotechnology, Faculty of Pharmacy, Heliopolis University, Cairo 11785, Egypt
| | - Eman A Mady
- Laboratory of Veterinary Physiology, Department of Veterinary Medicine, Faculty of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai Cho, Fuchu-shi, Tokyo 183-8509, Japan; Department of Animal Hygiene, Behavior and Management, Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh, Elqaliobiya 13736, Egypt
| | - Agnieszka Najda
- Department of Vegetable Crops and Medicinal Plants University of Life Sciences, Lublin 50A Doświadczalna Street, 20-280, Lublin, Poland.
| | - Mohammad Algahtani
- Department of Laboratory & Blood Bank, Security Forces Hospital, P.O. Box 14799, Mecca 21955, Saudi Arabia
| | - Abdulrahman Theyab
- Department of Laboratory & Blood Bank, Security Forces Hospital, P.O. Box 14799, Mecca 21955, Saudi Arabia; College of Medicine, Al-Faisal University, P.O. Box 50927, Riyadh 11533, Saudi Arabia
| | - Khalaf F Alsharif
- Department of Clinical Laboratory sciences, College of Applied medical sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
| | - Ashraf Albrakati
- Department of Human Anatomy, College of Medicine, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
| | - Roula Bayram
- Department of Pharmaceutical Sciences, Pharmacy Program, Batterjee Medical College, P.O. Box 6231, Jeddah 21442, Saudi Arabia
| | - Mohamed M Abdel-Daim
- Department of Pharmaceutical Sciences, Pharmacy Program, Batterjee Medical College, P.O. Box 6231, Jeddah 21442, Saudi Arabia; Pharmacology Department, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Ahmed S Doghish
- Department of Biochemistry, Faculty of Pharmacy, Badr University in Cairo (BUC), Badr City, Cairo 11829, Egypt.
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11
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Advances in Next-Generation Coronavirus Vaccines in Response to Future Virus Evolution. Vaccines (Basel) 2022; 10:vaccines10122035. [PMID: 36560445 PMCID: PMC9785936 DOI: 10.3390/vaccines10122035] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 11/23/2022] [Accepted: 11/25/2022] [Indexed: 12/03/2022] Open
Abstract
Coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread to more than 230 countries and territories worldwide since its outbreak in late 2019. In less than three years, infection by SARS-CoV-2 has resulted in over 600 million cases of COVID-19 and over 6.4 million deaths. Vaccines have been developed with unimaginable speed, and 11 have already been approved by the World Health Organization and given Emergency Use Listing. The administration of several first-generation SARS-CoV-2 vaccines has successfully decelerated the spread of COVID-19 but not stopped it completely. In the ongoing fight against viruses, genetic mutations frequently occur in the viral genome, resulting in a decrease in vaccine-induced antibody neutralization and widespread breakthrough infection. Facing the evolution and uncertainty of SARS-CoV-2 in the future, and the possibility of the spillover of other coronaviruses to humans, the need for vaccines with a broad spectrum of antiviral variants against multiple coronaviruses is recognized. It is imperative to develop a universal coronavirus or pan-coronavirus vaccine or drug to combat the ongoing COVID-19 pandemic as well as to prevent the next coronavirus pandemic. In this review, in addition to summarizing the protective effect of approved vaccines, we systematically summarize current work on the development of vaccines aimed at suppressing multiple SARS-CoV-2 variants of concern as well as multiple coronaviruses.
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12
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Saldivar-Espinoza B, Macip G, Garcia-Segura P, Mestres-Truyol J, Puigbò P, Cereto-Massagué A, Pujadas G, Garcia-Vallve S. Prediction of Recurrent Mutations in SARS-CoV-2 Using Artificial Neural Networks. Int J Mol Sci 2022; 23:ijms232314683. [PMID: 36499005 PMCID: PMC9736107 DOI: 10.3390/ijms232314683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/18/2022] [Accepted: 11/22/2022] [Indexed: 11/26/2022] Open
Abstract
Predicting SARS-CoV-2 mutations is difficult, but predicting recurrent mutations driven by the host, such as those caused by host deaminases, is feasible. We used machine learning to predict which positions from the SARS-CoV-2 genome will hold a recurrent mutation and which mutations will be the most recurrent. We used data from April 2021 that we separated into three sets: a training set, a validation set, and an independent test set. For the test set, we obtained a specificity value of 0.69, a sensitivity value of 0.79, and an Area Under the Curve (AUC) of 0.8, showing that the prediction of recurrent SARS-CoV-2 mutations is feasible. Subsequently, we compared our predictions with updated data from January 2022, showing that some of the false positives in our prediction model become true positives later on. The most important variables detected by the model's Shapley Additive exPlanation (SHAP) are the nucleotide that mutates and RNA reactivity. This is consistent with the SARS-CoV-2 mutational bias pattern and the preference of some host deaminases for specific sequences and RNA secondary structures. We extend our investigation by analyzing the mutations from the variants of concern Alpha, Beta, Delta, Gamma, and Omicron. Finally, we analyzed amino acid changes by looking at the predicted recurrent mutations in the M-pro and spike proteins.
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Affiliation(s)
- Bryan Saldivar-Espinoza
- Research Group in Cheminformatics & Nutrition, Departament de Bioquímica i Biotecnologia, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Guillem Macip
- Research Group in Cheminformatics & Nutrition, Departament de Bioquímica i Biotecnologia, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Pol Garcia-Segura
- Research Group in Cheminformatics & Nutrition, Departament de Bioquímica i Biotecnologia, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Júlia Mestres-Truyol
- Research Group in Cheminformatics & Nutrition, Departament de Bioquímica i Biotecnologia, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Pere Puigbò
- Department of Biology, University of Turku, 20500 Turku, Finland
- Department of Biochemistry and Biotechnology, Rovira i Virgili University, 43007 Tarragona, Spain
- Nutrition and Health Unit, Eurecat Technology Centre of Catalonia, 43204 Reus, Spain
| | - Adrià Cereto-Massagué
- EURECAT Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), 43204 Reus, Spain
| | - Gerard Pujadas
- Research Group in Cheminformatics & Nutrition, Departament de Bioquímica i Biotecnologia, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Santiago Garcia-Vallve
- Research Group in Cheminformatics & Nutrition, Departament de Bioquímica i Biotecnologia, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
- Correspondence:
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13
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Sun N, Yau SST. In-depth investigation of the point mutation pattern of HIV-1. Front Cell Infect Microbiol 2022; 12:1033481. [PMID: 36457853 PMCID: PMC9705751 DOI: 10.3389/fcimb.2022.1033481] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 10/25/2022] [Indexed: 04/29/2024] Open
Abstract
Mutations may produce highly transmissible and damaging HIV variants, which increase the genetic diversity, and pose a challenge to develop vaccines. Therefore, it is of great significance to understand how mutations drive the virulence of HIV. Based on the 11897 reliable genomes of HIV-1 retrieved from HIV sequence Database, we analyze the 12 types of point mutation (A>C, A>G, A>T, C>A, C>G, C>T, G>A, G>C, G>T, T>A, T>C, T>G) from multiple statistical perspectives for the first time. The global/geographical location/subtype/k-mer analysis results report that A>G, G>A, C>T and T>C account for nearly 64% among all SNPs, which suggest that APOBEC-editing and ADAR-editing may play an important role in HIV-1 infectivity. Time analysis shows that most genomes with abnormal mutation numbers comes from African countries. Finally, we use natural vector method to check the k-mer distribution changing patterns in the genome, and find that there is an important substitution pattern between nucleotides A and G, and 2-mer CG may have a significant impact on viral infectivity. This paper provides an insight into the single mutation of HIV-1 by using the latest data in the HIV sequence Database.
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Affiliation(s)
- Nan Sun
- Department of Mathematical Sciences, Tsinghua University, Beijing, China
| | - Stephen S.-T. Yau
- Department of Mathematical Sciences, Tsinghua University, Beijing, China
- Yanqi Lake Beijing Institute of Mathematical Sciences and Applications, Beijing, China
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14
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Chen J, Wang R, Hozumi Y, Liu G, Qiu Y, Wei X, Wei GW. Emerging dominant SARS-CoV-2 variants. ARXIV 2022:arXiv:2210.09485v1. [PMID: 36299737 PMCID: PMC9603820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Accurate and reliable forecasting of emerging dominant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants enables policymakers and vaccine makers to get prepared for future waves of infections. The last three waves of SARS-CoV-2 infections caused by dominant variants Omicron (BA.1), BA.2, and BA.4/BA.5 were accurately foretold by our artificial intelligence (AI) models built with biophysics, genotyping of viral genomes, experimental data, algebraic topology, and deep learning. Based on newly available experimental data, we analyzed the impacts of all possible viral spike (S) protein receptor-binding domain (RBD) mutations on the SARS-CoV-2 infectivity. Our analysis sheds light on viral evolutionary mechanisms, i.e., natural selection through infectivity strengthening and antibody resistance. We forecast that BA.2.10.4, BA.2.75, BQ.1.1, and particularly, BA.2.75+R346T, have high potential to become new dominant variants to drive the next surge.
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Affiliation(s)
- Jiahui Chen
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Rui Wang
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Yuta Hozumi
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Gengzhuo Liu
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Yuchi Qiu
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Xiaoqi Wei
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Guo-Wei Wei
- Department of Mathematics, Michigan State University, MI 48824, USA
- Department of Electrical and Computer Engineering, Michigan State University, MI 48824, USA
- Department of Biochemistry and Molecular Biology, Michigan State University, MI 48824, USA
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15
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Kim K, Calabrese P, Wang S, Qin C, Rao Y, Feng P, Chen XS. The roles of APOBEC-mediated RNA editing in SARS-CoV-2 mutations, replication and fitness. Sci Rep 2022; 12:14972. [PMID: 36100631 PMCID: PMC9470679 DOI: 10.1038/s41598-022-19067-x] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/24/2022] [Indexed: 11/15/2022] Open
Abstract
During COVID-19 pandemic, mutations of SARS-CoV-2 produce new strains that can be more infectious or evade vaccines. Viral RNA mutations can arise from misincorporation by RNA-polymerases and modification by host factors. Analysis of SARS-CoV-2 sequence from patients showed a strong bias toward C-to-U mutation, suggesting a potential mutational role by host APOBEC cytosine deaminases that possess broad anti-viral activity. We report the first experimental evidence demonstrating that APOBEC3A, APOBEC1, and APOBEC3G can edit on specific sites of SARS-CoV-2 RNA to produce C-to-U mutations. However, SARS-CoV-2 replication and viral progeny production in Caco-2 cells are not inhibited by the expression of these APOBECs. Instead, expression of wild-type APOBEC3 greatly promotes viral replication/propagation, suggesting that SARS-CoV-2 utilizes the APOBEC-mediated mutations for fitness and evolution. Unlike the random mutations, this study suggests the predictability of all possible viral genome mutations by these APOBECs based on the UC/AC motifs and the viral genomic RNA structure.
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Affiliation(s)
- Kyumin Kim
- Molecular and Computational Biology Section, University of Southern California, Los Angeles, CA, 90089, USA
| | - Peter Calabrese
- Quantitative and Computational Biology Department, University of Southern California, Los Angeles, CA, 90089, USA
| | - Shanshan Wang
- Molecular and Computational Biology Section, University of Southern California, Los Angeles, CA, 90089, USA
| | - Chao Qin
- Section of Infection and Immunity, Herman Ostrow School of Dentistry, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA
| | - Youliang Rao
- Section of Infection and Immunity, Herman Ostrow School of Dentistry, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA
| | - Pinghui Feng
- Section of Infection and Immunity, Herman Ostrow School of Dentistry, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA
| | - Xiaojiang S Chen
- Molecular and Computational Biology Section, University of Southern California, Los Angeles, CA, 90089, USA.
- Genetic, Molecular and Cellular Biology Program, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA.
- Center of Excellence in NanoBiophysics, University of Southern California, Los Angeles, CA, 90089, USA.
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA.
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16
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Jusic A, Stellos K, Ferreira L, Baker AH, Devaux Y. (Epi)transcriptomics in cardiovascular and neurological complications of COVID-19. JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY PLUS 2022; 1:100013. [PMID: 36164464 PMCID: PMC9330360 DOI: 10.1016/j.jmccpl.2022.100013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 06/16/2023]
Abstract
Although systemic inflammation and pulmonary complications increase the mortality rate in COVID-19, a broad spectrum of cardiovascular and neurological complications can also contribute to significant morbidity and mortality. The molecular mechanisms underlying cardiovascular and neurological complications during and after SARS-CoV-2 infection are incompletely understood. Recently reported perturbations of the epitranscriptome of COVID-19 patients indicate that mechanisms including those derived from RNA modifications and non-coding RNAs may play a contributing role in the pathogenesis of COVID-19. In this review paper, we gathered recently published studies investigating (epi)transcriptomic fluctuations upon SARS-CoV-2 infection, focusing on the brain-heart axis since neurological and cardiovascular events and their sequelae are of utmost prevalence and importance in this disease.
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Affiliation(s)
- Amela Jusic
- Cardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg
- Department of Biology, Faculty of Natural Sciences and Mathematics, University of Tuzla, 75000 Tuzla, Bosnia and Herzegovina
| | - Konstantinos Stellos
- Department of Cardiovascular Research, European Centre for Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- German Centre for Cardiovascular Research (Deutsches Zentrum für Herz-Kreislauf-Forschung, DZHK), Heidelberg/Mannheim Partner Site, Mannheim, Germany
- Department of Cardiology, University Hospital Mannheim, Mannheim, Germany
- Biosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Lino Ferreira
- CNC-Center for Neurosciences and Cell Biology, CIBB-Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Portugal
- Faculty of Medicine, University Coimbra, 3000-548 Coimbra, Portugal
| | - Andrew H. Baker
- Centre for Cardiovascular Science, University of Edinburgh, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
- CARIM Institute, University of Maastricht, Universiteitssingel 50, 6200 MD Maastricht, the Netherlands
| | - Yvan Devaux
- Cardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg
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17
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Sassi MB, Ferjani S, Mkada I, Arbi M, Safer M, Elmoussi A, Abid S, Souiai O, Gharbi A, Tejouri A, Gaies E, Eljabri H, Ayed S, Hechaichi A, Daghfous R, Gouider R, Khelil JB, Kharrat M, Kacem I, Alya NB, Benkahla A, Trabelsi S, Boubaker IBB. Phylogenetic and amino acid signature analysis of the SARS-CoV-2s lineages circulating in Tunisia. INFECTION, GENETICS AND EVOLUTION 2022; 102:105300. [PMID: 35552003 PMCID: PMC9085353 DOI: 10.1016/j.meegid.2022.105300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 05/01/2022] [Accepted: 05/05/2022] [Indexed: 11/19/2022]
Abstract
Since the beginning of the Coronavirus disease-2019 pandemic, there has been a growing interest in exploring SARS-CoV-2 genetic variation to understand the origin and spread of the pandemic, improve diagnostic methods and develop the appropriate vaccines. The objective of this study was to identify the SARS-CoV-2s lineages circulating in Tunisia and to explore their amino acid signature in order to follow their genome dynamics. Whole genome sequencing and genetic analyses of fifty-eight SARS-CoV-2 samples collected during one-year between March 2020 and March 2021 from the National Influenza Center were performed using three sampling strategies.. Multiple lineage introductions were noted during the initial phase of the pandemic, including B.4, B.1.1, B.1.428.2, B.1.540 and B.1.1.189. Subsequently, lineages B1.160 (24.2%) and B1.177 (22.4%) were dominant throughout the year. The Alpha variant (B.1.1.7 lineage) was identified in February 2021 and firstly observed in the center of our country. In addition, A clear diversity of lineages was observed in the North of the country. A total of 335 mutations including 10 deletions were found. The SARS-CoV-2 proteins ORF1ab, Spike, ORF3a, and Nucleocapsid were observed as mutation hotspots with a mutation frequency exceeding 20%. The 2 most frequent mutations, D614G in S protein and P314L in Nsp12 appeared simultaneously and are often associated with increased viral infectivity. Interestingly, deletions in coding regions causing consequent deletions of amino acids and frame shifts were identified in NSP3, NSP6, S, E, ORF7a, ORF8 and N proteins. These findings contribute to define the COVID-19 outbreak in Tunisia. Despite the country's limited resources, surveillance of SARS-CoV-2 genomic variation should be continued to control the occurrence of new variants.
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Affiliation(s)
- Mouna Ben Sassi
- National Center Chalbibelkahia of Pharmacovigilance of Tunis, Laboratory of Clinical Pharmacology, Boulevard 9 Dr Zouhier Essafi, Tunis 1006, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, LR16SP02, 1007 Tunis, Tunisia
| | - Sana Ferjani
- Charles Nicolle Hospital, Laboratory of Microbiology, Virology unit, National Influenza and other Respiratory Viruses Center-Tunisia, Boulevard 9 Avril, Tunis 1006, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, LR99ES09, 1007 Tunis, Tunisia.
| | - Imen Mkada
- Department of Neurology, LR18SP03, Razi Universitary Hospital, 1 rue des orangers Manouba, 2010 Tunis, Tunisia; Clinical Investigation Centre (CIC) "Neurosciences and Mental Health", Razi Universitary Hospital, 1 rue des orangers Manouba, 2010, Tunis, Tunisia
| | - Marwa Arbi
- Laboratory of Bioinformatics, Biomathematics and Biostatistics-LR16IPT09, Institut Pasteur de Tunis, University of Tunis El Manar (UTM), Tunis, Tunisia
| | - Mouna Safer
- Ministry of Health, National Observatory of New and Emerging Diseases, 1006 Tunis, Tunisia
| | - Awatef Elmoussi
- Charles Nicolle Hospital, Laboratory of Microbiology, Virology unit, National Influenza and other Respiratory Viruses Center-Tunisia, Boulevard 9 Avril, Tunis 1006, Tunisia
| | - Salma Abid
- Charles Nicolle Hospital, Laboratory of Microbiology, Virology unit, National Influenza and other Respiratory Viruses Center-Tunisia, Boulevard 9 Avril, Tunis 1006, Tunisia
| | - Oussema Souiai
- Laboratory of Bioinformatics, Biomathematics and Biostatistics-LR16IPT09, Institut Pasteur de Tunis, University of Tunis El Manar (UTM), Tunis, Tunisia
| | - Alya Gharbi
- Department of Neurology, LR18SP03, Razi Universitary Hospital, 1 rue des orangers Manouba, 2010 Tunis, Tunisia; Clinical Investigation Centre (CIC) "Neurosciences and Mental Health", Razi Universitary Hospital, 1 rue des orangers Manouba, 2010, Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 15, Rue DjebelAkhdhar - La Rabta - 1007, Tunis, Tunisia
| | - Asma Tejouri
- University of Tunis El Manar, Faculty of Medicine of Tunis, LR99ES10 Human Genetics Laboratory, 1007 Tunis, Tunisia
| | - Emna Gaies
- National Center Chalbibelkahia of Pharmacovigilance of Tunis, Laboratory of Clinical Pharmacology, Boulevard 9 Dr Zouhier Essafi, Tunis 1006, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, LR16SP02, 1007 Tunis, Tunisia
| | - Hanene Eljabri
- National Center Chalbibelkahia of Pharmacovigilance of Tunis, Laboratory of Clinical Pharmacology, Boulevard 9 Dr Zouhier Essafi, Tunis 1006, Tunisia
| | - Samia Ayed
- Faculty of Medicine of Tunis, University of Tunis El Manar, 15, Rue DjebelAkhdhar - La Rabta - 1007, Tunis, Tunisia; Abderrahmen Mami Hospital, Department of Medical Intensive Care, 2080 Ariana, Tunisia
| | - Aicha Hechaichi
- Ministry of Health, National Observatory of New and Emerging Diseases, 1006 Tunis, Tunisia
| | - Riadh Daghfous
- National Center Chalbibelkahia of Pharmacovigilance of Tunis, Laboratory of Clinical Pharmacology, Boulevard 9 Dr Zouhier Essafi, Tunis 1006, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, LR16SP02, 1007 Tunis, Tunisia
| | - Riadh Gouider
- Department of Neurology, LR18SP03, Razi Universitary Hospital, 1 rue des orangers Manouba, 2010 Tunis, Tunisia; Clinical Investigation Centre (CIC) "Neurosciences and Mental Health", Razi Universitary Hospital, 1 rue des orangers Manouba, 2010, Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 15, Rue DjebelAkhdhar - La Rabta - 1007, Tunis, Tunisia
| | - Jalila Ben Khelil
- Faculty of Medicine of Tunis, University of Tunis El Manar, 15, Rue DjebelAkhdhar - La Rabta - 1007, Tunis, Tunisia; Abderrahmen Mami Hospital, Department of Medical Intensive Care, 2080 Ariana, Tunisia
| | - Maher Kharrat
- University of Tunis El Manar, Faculty of Medicine of Tunis, LR99ES10 Human Genetics Laboratory, 1007 Tunis, Tunisia
| | - Imen Kacem
- Department of Neurology, LR18SP03, Razi Universitary Hospital, 1 rue des orangers Manouba, 2010 Tunis, Tunisia; Clinical Investigation Centre (CIC) "Neurosciences and Mental Health", Razi Universitary Hospital, 1 rue des orangers Manouba, 2010, Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 15, Rue DjebelAkhdhar - La Rabta - 1007, Tunis, Tunisia
| | - Nissaf Ben Alya
- Ministry of Health, National Observatory of New and Emerging Diseases, 1006 Tunis, Tunisia
| | - Alia Benkahla
- Laboratory of Bioinformatics, Biomathematics and Biostatistics-LR16IPT09, Institut Pasteur de Tunis, University of Tunis El Manar (UTM), Tunis, Tunisia
| | - Sameh Trabelsi
- National Center Chalbibelkahia of Pharmacovigilance of Tunis, Laboratory of Clinical Pharmacology, Boulevard 9 Dr Zouhier Essafi, Tunis 1006, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, LR16SP02, 1007 Tunis, Tunisia
| | - Ilhem Boutiba-Ben Boubaker
- Charles Nicolle Hospital, Laboratory of Microbiology, Virology unit, National Influenza and other Respiratory Viruses Center-Tunisia, Boulevard 9 Avril, Tunis 1006, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, LR99ES09, 1007 Tunis, Tunisia
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18
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Gao K, Wang R, Chen J, Cheng L, Frishcosy J, Huzumi Y, Qiu Y, Schluckbier T, Wei X, Wei GW. Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2. Chem Rev 2022; 122:11287-11368. [PMID: 35594413 PMCID: PMC9159519 DOI: 10.1021/acs.chemrev.1c00965] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Despite tremendous efforts in the past two years, our understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), virus-host interactions, immune response, virulence, transmission, and evolution is still very limited. This limitation calls for further in-depth investigation. Computational studies have become an indispensable component in combating coronavirus disease 2019 (COVID-19) due to their low cost, their efficiency, and the fact that they are free from safety and ethical constraints. Additionally, the mechanism that governs the global evolution and transmission of SARS-CoV-2 cannot be revealed from individual experiments and was discovered by integrating genotyping of massive viral sequences, biophysical modeling of protein-protein interactions, deep mutational data, deep learning, and advanced mathematics. There exists a tsunami of literature on the molecular modeling, simulations, and predictions of SARS-CoV-2 and related developments of drugs, vaccines, antibodies, and diagnostics. To provide readers with a quick update about this literature, we present a comprehensive and systematic methodology-centered review. Aspects such as molecular biophysics, bioinformatics, cheminformatics, machine learning, and mathematics are discussed. This review will be beneficial to researchers who are looking for ways to contribute to SARS-CoV-2 studies and those who are interested in the status of the field.
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Affiliation(s)
- Kaifu Gao
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Rui Wang
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Jiahui Chen
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Limei Cheng
- Clinical
Pharmacology and Pharmacometrics, Bristol
Myers Squibb, Princeton, New Jersey 08536, United States
| | - Jaclyn Frishcosy
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Yuta Huzumi
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Yuchi Qiu
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Tom Schluckbier
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Xiaoqi Wei
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Guo-Wei Wei
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
- Department
of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States
- Department
of Biochemistry and Molecular Biology, Michigan
State University, East Lansing, Michigan 48824, United States
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19
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Dumache R, Enache A, Macasoi I, Dehelean CA, Dumitrascu V, Mihailescu A, Popescu R, Vlad D, Vlad CS, Muresan C. SARS-CoV-2: An Overview of the Genetic Profile and Vaccine Effectiveness of the Five Variants of Concern. Pathogens 2022; 11:pathogens11050516. [PMID: 35631037 PMCID: PMC9144800 DOI: 10.3390/pathogens11050516] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 04/21/2022] [Accepted: 04/25/2022] [Indexed: 12/13/2022] Open
Abstract
With the onset of the COVID-19 pandemic, enormous efforts have been made to understand the genus SARS-CoV-2. Due to the high rate of global transmission, mutations in the viral genome were inevitable. A full understanding of the viral genome and its possible changes represents one of the crucial aspects of pandemic management. Structural protein S plays an important role in the pathogenicity of SARS-CoV-2, mutations occurring at this level leading to viral forms with increased affinity for ACE2 receptors, higher transmissibility and infectivity, resistance to neutralizing antibodies and immune escape, increasing the risk of infection and disease severity. Thus, five variants of concern are currently being discussed, Alpha, Beta, Gamma, Delta and Omicron. In the present review, a comprehensive summary of the following critical aspects regarding SARS-CoV-2 has been made: (i) the genomic characteristics of SARS-CoV-2; (ii) the pathological mechanism of transmission, penetration into the cell and action on specific receptors; (iii) mutations in the SARS-CoV-2 genome; and (iv) possible implications of mutations in diagnosis, treatment, and vaccination.
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Affiliation(s)
- Raluca Dumache
- Ethics and Human Identification Research Center, Department of Neurosciences, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.D.); (A.E.); (A.M.); (C.M.)
| | - Alexandra Enache
- Ethics and Human Identification Research Center, Department of Neurosciences, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.D.); (A.E.); (A.M.); (C.M.)
| | - Ioana Macasoi
- Departament of Toxicology and Drug Industry, Faculty of Pharmacy, “Victor Babeş” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No. 2, 300041 Timişoara, Romania
- Research Center for Pharmaco-Toxicological Evaluations, Faculty of Pharmacy, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No. 2, 300041 Timisoara, Romania
- Correspondence: (I.M.); (C.A.D.)
| | - Cristina Adriana Dehelean
- Departament of Toxicology and Drug Industry, Faculty of Pharmacy, “Victor Babeş” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No. 2, 300041 Timişoara, Romania
- Research Center for Pharmaco-Toxicological Evaluations, Faculty of Pharmacy, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No. 2, 300041 Timisoara, Romania
- Correspondence: (I.M.); (C.A.D.)
| | - Victor Dumitrascu
- Department of Pharmacology and Biochemistry, Discipline of Pharmacology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (V.D.); (D.V.); (C.S.V.)
| | - Alexandra Mihailescu
- Ethics and Human Identification Research Center, Department of Neurosciences, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.D.); (A.E.); (A.M.); (C.M.)
- Genetics, Genomic Medicine Research Center, Department of Microscopic Morphology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Roxana Popescu
- Department of Microscopic Morphology, Discipline of Molecular and Cell Biology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
| | - Daliborca Vlad
- Department of Pharmacology and Biochemistry, Discipline of Pharmacology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (V.D.); (D.V.); (C.S.V.)
| | - Cristian Sebastian Vlad
- Department of Pharmacology and Biochemistry, Discipline of Pharmacology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (V.D.); (D.V.); (C.S.V.)
| | - Camelia Muresan
- Ethics and Human Identification Research Center, Department of Neurosciences, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (R.D.); (A.E.); (A.M.); (C.M.)
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20
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Rosani U, Del Vecchio C, Franchin E, Brun P, Ferrari S, Ponzin D, Leonardi A. Tracing the SARS-CoV-2 infection on the ocular surface: Overview and preliminary corneoscleral transcriptome sequencing. Exp Eye Res 2022; 217:108975. [PMID: 35134391 PMCID: PMC8816849 DOI: 10.1016/j.exer.2022.108975] [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: 08/30/2021] [Revised: 01/23/2022] [Accepted: 02/01/2022] [Indexed: 11/22/2022]
Abstract
COVID-19's impact on the ocular surface has already been recognized, however the molecular mechanisms induced by the infection on the ocular surface are still unclear. The aim of this paper is to provide a first overview of the transcriptional perturbations caused by SARS-CoV-2 on the ocular surface by analyzing gene expression profile of corneoscleral ring samples from post-mortem SARS-CoV-2 positive donors (PD). The presence of SARS-CoV-2 on the ocular surface, in tears and corneal tissues has rarely been detected in infected individuals in both the presence and the absence of ocular manifestations. In this preliminary study, 6 human corneoscleral tissues of 3 PD and two tissues from a negative donor (CTRL) were obtained at the local eye bank. The presence of genomic and sub-genomic SARS-CoV-2 RNAs was assessed by qRT-PCR, while transcriptome analysis (RNA-sequencing) was performed by Illumina. Principal Component Analysis (PCA), search for differentially expressed genes (DEGs) and Gene Ontology (GO)-enrichment analysis were performed. Three samples from PD were found positive for SARS-CoV-2 genomic RNA, although the absence of sub-genomic RNAs indicated an inactive virus. PCA analysis grouped 3 different clusters, one including CTRL, and the other two including, respectively, PD with undetected SARS-CoV-2 (PD-SARS-neg) and PD with detected SARS-CoV-2 (PD-SARS-pos). The DEGs in common with the 2 PD clusters included several genes associable to the interferon pathway, such as ADAMTS4, RSAD2, MMP1, IL6, ISG15 and proinflammatory cytokines. Among the down-regulated genes we found AQP5. GO analysis revealed 77 GO terms over-represented in PD-SARS-neg vs. CTRL, and 17 GO terms in PD-SARS-pos vs. CTRL. The presence of SARS-CoV-2 RNA and RNA-sequencing reads in ocular surface tissues supports the possibility that the eye acts as an entry route. The modulation of early responsive genes, together with several ISGs suggests a potential protective responsiveness of the ocular tissues to SARS-CoV-2.
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Affiliation(s)
| | | | - Elisa Franchin
- Department of Molecular Medicine, University of Padova, Italy
| | - Paola Brun
- Department of Molecular Medicine, University of Padova, Italy
| | | | - Diego Ponzin
- Fondazione Banca degli Occhi del Veneto, Venice, Italy
| | - Andrea Leonardi
- Department of Neuroscience, Ophthalmology Unit, University of Padova, Italy.
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21
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Song Y, He X, Yang W, Wu Y, Cui J, Tang T, Zhang R. Virus-specific editing identification approach reveals the landscape of A-to-I editing and its impacts on SARS-CoV-2 characteristics and evolution. Nucleic Acids Res 2022; 50:2509-2521. [PMID: 35234938 PMCID: PMC8934641 DOI: 10.1093/nar/gkac120] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 01/19/2022] [Accepted: 02/08/2022] [Indexed: 11/14/2022] Open
Abstract
Upon SARS-CoV-2 infection, viral intermediates specifically activate the IFN response through MDA5-mediated sensing and accordingly induce ADAR1 p150 expression, which might lead to viral A-to-I RNA editing. Here, we developed an RNA virus-specific editing identification pipeline, surveyed 7622 RNA-seq data from diverse types of samples infected with SARS-CoV-2, and constructed an atlas of A-to-I RNA editing sites in SARS-CoV-2. We found that A-to-I editing was dynamically regulated, varied between tissue and cell types, and was correlated with the intensity of innate immune response. On average, 91 editing events were deposited at viral dsRNA intermediates per sample. Moreover, editing hotspots were observed, including recoding sites in the spike gene that affect viral infectivity and antigenicity. Finally, we provided evidence that RNA editing accelerated SARS-CoV-2 evolution in humans during the epidemic. Our study highlights the ability of SARS-CoV-2 to hijack components of the host antiviral machinery to edit its genome and fuel its evolution, and also provides a framework and resource for studying viral RNA editing.
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MESH Headings
- Adenosine Deaminase/genetics
- Adenosine Deaminase/immunology
- Adenosine Deaminase/metabolism
- Angiotensin-Converting Enzyme 2/genetics
- Angiotensin-Converting Enzyme 2/immunology
- Angiotensin-Converting Enzyme 2/metabolism
- Base Sequence
- Binding Sites/genetics
- COVID-19/genetics
- COVID-19/immunology
- COVID-19/virology
- Evolution, Molecular
- Gene Expression/immunology
- Humans
- Immunity, Innate/genetics
- Immunity, Innate/immunology
- Interferon-Induced Helicase, IFIH1/genetics
- Interferon-Induced Helicase, IFIH1/immunology
- Interferon-Induced Helicase, IFIH1/metabolism
- Mutation
- Protein Binding
- RNA Editing/genetics
- RNA Editing/immunology
- RNA-Binding Proteins/genetics
- RNA-Binding Proteins/immunology
- RNA-Binding Proteins/metabolism
- SARS-CoV-2/genetics
- SARS-CoV-2/immunology
- SARS-CoV-2/physiology
- Sequence Homology, Nucleic Acid
- Spike Glycoprotein, Coronavirus/genetics
- Spike Glycoprotein, Coronavirus/immunology
- Spike Glycoprotein, Coronavirus/metabolism
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Affiliation(s)
- Yulong Song
- MOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou510275, PR China
| | - Xiuju He
- MOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou510275, PR China
| | - Wenbing Yang
- MOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou510275, PR China
| | - Yaoxing Wu
- MOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou510275, PR China
| | - Jun Cui
- MOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou510275, PR China
| | - Tian Tang
- MOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou510275, PR China
| | - Rui Zhang
- MOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou510275, PR China
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22
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Wang R, Chen J, Hozumi Y, Yin C, Wei GW. Emerging Vaccine-Breakthrough SARS-CoV-2 Variants. ACS Infect Dis 2022; 8:546-556. [PMID: 35133792 PMCID: PMC8848511 DOI: 10.1021/acsinfecdis.1c00557] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Indexed: 12/28/2022]
Abstract
The surge of COVID-19 infections has been fueled by new SARS-CoV-2 variants, namely Alpha, Beta, Gamma, Delta, and so forth. The molecular mechanism underlying such surge is elusive due to the existence of 28 554 unique mutations, including 4 653 non-degenerate mutations on the spike protein. Understanding the molecular mechanism of SARS-CoV-2 transmission and evolution is a prerequisite to foresee the trend of emerging vaccine-breakthrough variants and the design of mutation-proof vaccines and monoclonal antibodies. We integrate the genotyping of 1 489 884 SARS-CoV-2 genomes, a library of 130 human antibodies, tens of thousands of mutational data, topological data analysis, and deep learning to reveal SARS-CoV-2 evolution mechanism and forecast emerging vaccine-breakthrough variants. We show that prevailing variants can be quantitatively explained by infectivity-strengthening and vaccine-escape (co-)mutations on the spike protein RBD due to natural selection and/or vaccination-induced evolutionary pressure. We illustrate that infectivity strengthening mutations were the main mechanism for viral evolution, while vaccine-escape mutations become a dominating viral evolutionary mechanism among highly vaccinated populations. We demonstrate that Lambda is as infectious as Delta but is more vaccine-resistant. We analyze emerging vaccine-breakthrough comutations in highly vaccinated countries, including the United Kingdom, the United States, Denmark, and so forth. Finally, we identify sets of comutations that have a high likelihood of massive growth: [A411S, L452R, T478K], [L452R, T478K, N501Y], [V401L, L452R, T478K], [K417N, L452R, T478K], [L452R, T478K, E484K, N501Y], and [P384L, K417N, E484K, N501Y]. We predict they can escape existing vaccines. We foresee an urgent need to develop new virus combating strategies.
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Affiliation(s)
- Rui Wang
- Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Jiahui Chen
- Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Yuta Hozumi
- Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Changchuan Yin
- Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago, Chicago, Illinois 60607, United States
| | - Guo-Wei Wei
- Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
- Department of Biochemistry and Molecular Biology Michigan State University, East Lansing, Michigan 48824, United States
- Department of Electrical and Computer Engineering Michigan State University, East Lansing, Michigan 48824, United States
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23
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Abstract
The AID/APOBEC polynucleotide cytidine deaminases have historically been classified as either DNA mutators or RNA editors based on their first identified nucleic acid substrate preference. DNA mutators can generate functional diversity at antibody genes but also cause genomic instability in cancer. RNA editors can generate informational diversity in the transcriptome of innate immune cells, and of cancer cells. Members of both classes can act as antiviral restriction factors. Recent structural work has illuminated differences and similarities between AID/APOBEC enzymes that can catalyse DNA mutation, RNA editing or both, suggesting that the strict functional classification of members of this family should be reconsidered. As many of these enzymes have been employed for targeted genome (or transcriptome) editing, a more holistic understanding will help improve the design of therapeutically relevant programmable base editors. In this Perspective, Pecori et al. provide an overview of the AID/APOBEC cytidine deaminase family, discussing key structural features, how they contribute to viral and tumour evolution and how they can be harnessed for (potentially therapeutic) base-editing purposes.
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24
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Manuto L, Grazioli M, Spitaleri A, Fontana P, Bianco L, Bertolotti L, Bado M, Mazzotti G, Bianca F, Onelia F, Lorenzin G, Simeoni F, Lazarevic D, Franchin E, Vecchio CD, Dorigatti I, Tonon G, Cirillo DM, Lavezzo E, Crisanti A, Toppo S. Rapid SARS-CoV-2 Intra-Host and Within-Household Emergence of Novel Haplotypes. Viruses 2022; 14:399. [PMID: 35215992 PMCID: PMC8877413 DOI: 10.3390/v14020399] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/11/2022] [Accepted: 02/13/2022] [Indexed: 12/13/2022] Open
Abstract
In February 2020, the municipality of Vo', a small town near Padua (Italy) was quarantined due to the first coronavirus disease 19 (COVID-19)-related death detected in Italy. To investigate the viral prevalence and clinical features, the entire population was swab tested in two sequential surveys. Here we report the analysis of 87 viral genomes, which revealed that the unique ancestor haplotype introduced in Vo' belongs to lineage B, carrying the mutations G11083T and G26144T. The viral sequences allowed us to investigate the viral evolution while being transmitted within and across households and the effectiveness of the non-pharmaceutical interventions implemented in Vo'. We report, for the first time, evidence that novel viral haplotypes can naturally arise intra-host within an interval as short as two weeks, in approximately 30% of the infected individuals, regardless of symptom severity or immune system deficiencies. Moreover, both phylogenetic and minimum spanning network analyses converge on the hypothesis that the viral sequences evolved from a unique common ancestor haplotype that was carried by an index case. The lockdown extinguished both the viral spread and the emergence of new variants.
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Affiliation(s)
- Laura Manuto
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy; (L.M.); (M.G.); (M.B.); (G.M.); (F.B.); (F.O.); (E.F.); (C.D.V.); (E.L.)
| | - Marco Grazioli
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy; (L.M.); (M.G.); (M.B.); (G.M.); (F.B.); (F.O.); (E.F.); (C.D.V.); (E.L.)
| | - Andrea Spitaleri
- Center for Omics Sciences, IRCCS San Raffaele Institute, 20132 Milan, Italy; (A.S.); (F.S.); (D.L.); (G.T.)
| | - Paolo Fontana
- Research and Innovation Center, Edmund Mach Foundation, 38098 San Michele all’Adige, Italy; (P.F.); (L.B.)
| | - Luca Bianco
- Research and Innovation Center, Edmund Mach Foundation, 38098 San Michele all’Adige, Italy; (P.F.); (L.B.)
| | - Luigi Bertolotti
- Department of Veterinary Sciences, University of Torino, Grugliasco, 10095 Turin, Italy;
| | - Martina Bado
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy; (L.M.); (M.G.); (M.B.); (G.M.); (F.B.); (F.O.); (E.F.); (C.D.V.); (E.L.)
| | - Giorgia Mazzotti
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy; (L.M.); (M.G.); (M.B.); (G.M.); (F.B.); (F.O.); (E.F.); (C.D.V.); (E.L.)
| | - Federico Bianca
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy; (L.M.); (M.G.); (M.B.); (G.M.); (F.B.); (F.O.); (E.F.); (C.D.V.); (E.L.)
| | - Francesco Onelia
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy; (L.M.); (M.G.); (M.B.); (G.M.); (F.B.); (F.O.); (E.F.); (C.D.V.); (E.L.)
| | - Giovanni Lorenzin
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy; (G.L.); (D.M.C.)
| | - Fabio Simeoni
- Center for Omics Sciences, IRCCS San Raffaele Institute, 20132 Milan, Italy; (A.S.); (F.S.); (D.L.); (G.T.)
| | - Dejan Lazarevic
- Center for Omics Sciences, IRCCS San Raffaele Institute, 20132 Milan, Italy; (A.S.); (F.S.); (D.L.); (G.T.)
| | - Elisa Franchin
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy; (L.M.); (M.G.); (M.B.); (G.M.); (F.B.); (F.O.); (E.F.); (C.D.V.); (E.L.)
- Microbiology and Virology Diagnostic Unit, Padua University Hospital, Via Giustiniani, 35121 Padova, Italy
| | - Claudia Del Vecchio
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy; (L.M.); (M.G.); (M.B.); (G.M.); (F.B.); (F.O.); (E.F.); (C.D.V.); (E.L.)
- Microbiology and Virology Diagnostic Unit, Padua University Hospital, Via Giustiniani, 35121 Padova, Italy
| | - Ilaria Dorigatti
- MRC Centre for Global Infectious Disease Analysis, Imperial College London, London SW7 2BX, UK;
| | - Giovanni Tonon
- Center for Omics Sciences, IRCCS San Raffaele Institute, 20132 Milan, Italy; (A.S.); (F.S.); (D.L.); (G.T.)
- Functional Genomics of Cancer Unit, Division of Experimental Oncology, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy
| | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy; (G.L.); (D.M.C.)
| | - Enrico Lavezzo
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy; (L.M.); (M.G.); (M.B.); (G.M.); (F.B.); (F.O.); (E.F.); (C.D.V.); (E.L.)
| | - Andrea Crisanti
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy; (L.M.); (M.G.); (M.B.); (G.M.); (F.B.); (F.O.); (E.F.); (C.D.V.); (E.L.)
- Microbiology and Virology Diagnostic Unit, Padua University Hospital, Via Giustiniani, 35121 Padova, Italy
- Department of Life Sciences, Imperial College London, London SW7 2BX, UK
| | - Stefano Toppo
- Department of Molecular Medicine, University of Padova, 35121 Padua, Italy; (L.M.); (M.G.); (M.B.); (G.M.); (F.B.); (F.O.); (E.F.); (C.D.V.); (E.L.)
- CRIBI Biotech Center, University of Padova, 35121 Padova, Italy
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25
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Pathak AK, Mishra GP, Uppili B, Walia S, Fatihi S, Abbas T, Banu S, Ghosh A, Kanampalliwar A, Jha A, Fatma S, Aggarwal S, Dhar MS, Marwal R, Radhakrishnan VS, Ponnusamy K, Kabra S, Rakshit P, Bhoyar RC, Jain A, Divakar MK, Imran M, Faruq M, Sowpati DT, Thukral L, Raghav SK, Mukerji M. Spatio-temporal dynamics of intra-host variability in SARS-CoV-2 genomes. Nucleic Acids Res 2022; 50:1551-1561. [PMID: 35048970 PMCID: PMC8860616 DOI: 10.1093/nar/gkab1297] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 12/09/2021] [Accepted: 01/13/2022] [Indexed: 12/13/2022] Open
Abstract
During the course of the COVID-19 pandemic, large-scale genome sequencing of SARS-CoV-2 has been useful in tracking its spread and in identifying variants of concern (VOC). Viral and host factors could contribute to variability within a host that can be captured in next-generation sequencing reads as intra-host single nucleotide variations (iSNVs). Analysing 1347 samples collected till June 2020, we recorded 16 410 iSNV sites throughout the SARS-CoV-2 genome. We found ∼42% of the iSNV sites to be reported as SNVs by 30 September 2020 in consensus sequences submitted to GISAID, which increased to ∼80% by 30th June 2021. Following this, analysis of another set of 1774 samples sequenced in India between November 2020 and May 2021 revealed that majority of the Delta (B.1.617.2) and Kappa (B.1.617.1) lineage-defining variations appeared as iSNVs before getting fixed in the population. Besides, mutations in RdRp as well as RNA-editing by APOBEC and ADAR deaminases seem to contribute to the differential prevalence of iSNVs in hosts. We also observe hyper-variability at functionally critical residues in Spike protein that could alter the antigenicity and may contribute to immune escape. Thus, tracking and functional annotation of iSNVs in ongoing genome surveillance programs could be important for early identification of potential variants of concern and actionable interventions.
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Affiliation(s)
- Ankit K Pathak
- CSIR - Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | | | - Bharathram Uppili
- CSIR - Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Safal Walia
- Institute of Life Sciences (ILS), Bhubaneswar, Odisha, India
| | - Saman Fatihi
- CSIR - Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Tahseen Abbas
- CSIR - Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Sofia Banu
- CSIR - Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, Telangana, India
| | - Arup Ghosh
- Institute of Life Sciences (ILS), Bhubaneswar, Odisha, India
| | | | - Atimukta Jha
- Institute of Life Sciences (ILS), Bhubaneswar, Odisha, India
| | - Sana Fatma
- Institute of Life Sciences (ILS), Bhubaneswar, Odisha, India
| | - Shifu Aggarwal
- Institute of Life Sciences (ILS), Bhubaneswar, Odisha, India
| | - Mahesh Shanker Dhar
- Biotechnology Division, National Centre for Disease Control (NCDC), New Delhi, India
| | - Robin Marwal
- Biotechnology Division, National Centre for Disease Control (NCDC), New Delhi, India
| | | | - Kalaiarasan Ponnusamy
- Biotechnology Division, National Centre for Disease Control (NCDC), New Delhi, India
| | - Sandhya Kabra
- Biotechnology Division, National Centre for Disease Control (NCDC), New Delhi, India
| | - Partha Rakshit
- Biotechnology Division, National Centre for Disease Control (NCDC), New Delhi, India
| | - Rahul C Bhoyar
- CSIR - Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Abhinav Jain
- CSIR - Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Mohit Kumar Divakar
- CSIR - Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Mohamed Imran
- CSIR - Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Mohammed Faruq
- CSIR - Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Divya Tej Sowpati
- CSIR - Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, Telangana, India
| | - Lipi Thukral
- CSIR - Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Sunil K Raghav
- Institute of Life Sciences (ILS), Bhubaneswar, Odisha, India
| | - Mitali Mukerji
- CSIR - Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Indian Institute of Technology (IIT), Jodhpur, India
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26
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Identification of genotypic variants and its proteomic mutations of Brazilian SARS-CoV-2 isolates. Virus Res 2022; 307:198618. [PMID: 34740719 PMCID: PMC8563081 DOI: 10.1016/j.virusres.2021.198618] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 10/25/2021] [Accepted: 10/26/2021] [Indexed: 01/01/2023]
Abstract
The second wave of COVID-19 caused by severe acute respiratory syndrome virus (SARS-CoV-2) is rapidly spreading over the world. Mechanisms behind the flee from current antivirals are still unclear due to the continuous occurrence of SARS-CoV-2 genetic variants. Brazil is the world's second-most COVID-19 affected country. In the present study, we identified the genomic and proteomic variants of Brazilian SARS-CoV-2 isolates. We identified 16 different genotypic variants were found among the 27 isolates. The genotypes of three isolates such as Bra/1236/2021 (G15), Bra/MASP2C844R2/2020 (G11), and Bra/RJ-DCVN5/2020 (G9) have a unique mutant in NSP4 (S184N), 2′O-Mutase (R216N), membrane protein (A2V) and Envelope protein (V5A). A mutation in RdRp of SARS-CoV-2, particularly the change of Pro-to Leu-at 323 resulted in the stabilization of the structure in BRA/CD1739-P4/2020. NSP4, NSP5 protein mutants are more virulent in genotype 15 and 16. A fast protein folding rate changes the structural stability and leads to escape for current antivirals. Thus, our findings help researchers to develop the best potent antivirals based on the new mutant of Brazilian isolates.
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27
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Yin C. Evolutionary trend of SARS-CoV-2 inferred by the homopolymeric nucleotide repeats. COMPUTATIONAL AND MATHEMATICAL BIOPHYSICS 2022. [DOI: 10.1515/cmb-2022-0135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the current global COVID-19 pandemic, in which millions of lives have been lost. Understanding the zoonotic evolution of the coronavirus may provide insights for developing effective vaccines, monitoring the transmission trends, and preventing new zoonotic infections. Homopolymeric nucleotide repeats (HP), the most simple tandem repeats, are a ubiquitous feature of eukaryotic genomes. Yet the HP distributions and roles in coronavirus genome evolution are poorly investigated. In this study, we characterize the HP distributions and trends in the genomes of bat and human coronaviruses and SARS-CoV-2 variants. The results show that the SARS-CoV-2 genome is abundant in HPs, and has augmented HP contents during evolution. Especially, the disparity of HP poly-(A/T) and ploy-(C/G) of coronaviruses increases during the evolution in human hosts. The disparity of HP poly-(A/T) and ploy-(C/G) is correlated to host adaptation and the virulence level of the coronaviruses. Therefore, we propose that the HP disparity can be a quantitative measure for the zoonotic evolution levels of coronaviruses. Peculiarly, the HP disparity measure infers that SARS-CoV-2 Omicron variants have a high disparity of HP poly-(A/T) and ploy-(C/G), suggesting a high adaption to the human hosts.
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Affiliation(s)
- Changchuan Yin
- Department of Mathematics, Statistics, and Computer Science , University of Illinois at Chicago , Chicago , , USA
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28
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Kim K, Calabrese P, Wang S, Qin C, Rao Y, Feng P, Chen XS. The Roles of APOBEC-mediated RNA Editing in SARS-CoV-2 Mutations, Replication and Fitness.. [PMID: 34981048 PMCID: PMC8722585 DOI: 10.1101/2021.12.18.473309] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
During COVID-19 pandemic, mutations of SARS-CoV-2 produce new strains that can be more infectious or evade vaccines. Viral RNA mutations can arise from misincorporation by RNA-polymerases and modification by host factors. Analysis of SARS-CoV-2 sequence from patients showed a strong bias toward C-to-U mutation, suggesting a potential mutational role by host APOBEC cytosine deaminases that possess broad anti-viral activity. We report the first experimental evidence demonstrating that APOBEC3A, APOBEC1, and APOBEC3G can edit on specific sites of SARS-CoV-2 RNA to produce C-to-U mutations. However, SARS-CoV-2 replication and viral progeny production in Caco-2 cells are not inhibited by the expression of these APOBECs. Instead, expression of wild-type APOBEC3 greatly promotes viral replication/propagation, suggesting that SARS-CoV-2 utilizes the APOBEC-mediated mutations for fitness and evolution. Unlike the random mutations, this study suggests the predictability of all possible viral genome mutations by these APOBECs based on the UC/AC motifs and the viral genomic RNA structure. Efficient Editing of SARS-CoV-2 genomic RNA by Host APOBEC deaminases and Its Potential Impacts on the Viral Replication and Emergence of New Strains in COVID-19 Pandemic
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29
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Tsang HF, Yu ACS, Wong HT, Leung WMS, Chiou J, Wong YKE, Yim AKY, Tsang DNC, Tsang AK, Wong WT, Wong SCC, Cho WCS. Whole genome amplicon sequencing and phylogenetic analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from lineage B.1.36.27 isolated in Hong Kong. Expert Rev Mol Diagn 2021; 22:119-124. [PMID: 34878349 DOI: 10.1080/14737159.2022.2015330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND The import of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage B.1.36.27 has sparked the fourth wave of COVID-19 outbreak in Hong Kong. This strain has been circulating in Hong Kong since September 2020 but rarely found in other countries (<1%). RESEARCH DESIGN AND METHODS A total of 14 SARS-CoV-2 genome sequences collected from patients in Hong Kong between July 2020 and March 2021 were determined by whole viral genome sequencing using Illumina next-generation sequencing platform, followed by phylogenetic analysis. RESULTS Of the 14 SARS-CoV-2 genome sequences analyzed, 9 strains belonged to the PANGO lineage B.1.36.27, GISAID clade GH, and Nextclade clade 20A. Compared to the reference genome, 31 nucleotide differences and 11 amino acid differences were identified in the genome of the SARS-CoV-2 from PANGO lineage B.1.36.27. CONCLUSIONS We reported the nucleotides and amino acids mutations identified in the SARS-CoV-2 from PANGO lineage B.1.36.27. Our viral genome sequences enriched the understanding of SARS-CoV-2 mutational landscape and improved the repertoire of known SARS-CoV-2 variants for tracking and tracing. From this study, we found no evidence to show that SARS-CoV-2 from lineage B.1.36.27 can compromise existing vaccines and antibody therapies.
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Affiliation(s)
- Hin Fung Tsang
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong Special Administrative Region, China.,Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | | | - Heong Ting Wong
- Department of Pathology, Kiang Wu Hospital, Macau Special Administrative Region, China
| | - Wai Ming Stanley Leung
- Department of Clinical Laboratory and Pathology, Hong Kong Adventist Hospital, Hong Kong Special Administrative Region, China
| | - Jiachi Chiou
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | | | - Dominic Ngai Chong Tsang
- Microbiology Division, Public Health Laboratory Services Branch, Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Alan Kl Tsang
- Microbiology Division, Public Health Laboratory Services Branch, Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China
| | - Wing Tak Wong
- Department of Applied Biology & Chemical Technology, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - Sze Chuen Cesar Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
| | - William Chi Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong Special Administrative Region, China
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30
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Wang R, Chen J, Wei GW. Mechanisms of SARS-CoV-2 Evolution Revealing Vaccine-Resistant Mutations in Europe and America. J Phys Chem Lett 2021; 12:11850-11857. [PMID: 34873910 PMCID: PMC8672435 DOI: 10.1021/acs.jpclett.1c03380] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 12/02/2021] [Indexed: 05/20/2023]
Abstract
The importance of understanding SARS-CoV-2 evolution cannot be overlooked. Recent studies confirm that natural selection is the dominating mechanism of SARS-CoV-2 evolution, which favors mutations that strengthen viral infectivity. Here, we demonstrate that vaccine-breakthrough or antibody-resistant mutations provide a new mechanism of viral evolution. Specifically, vaccine-resistant mutation Y449S in the spike (S) protein receptor-binding domain, which occurred in co-mutations Y449S and N501Y, has reduced infectivity compared to that of the original SARS-CoV-2 but can disrupt existing antibodies that neutralize the virus. By tracking the evolutionary trajectories of vaccine-resistant mutations in more than 2.2 million SARS-CoV-2 genomes, we reveal that the occurrence and frequency of vaccine-resistant mutations correlate strongly with the vaccination rates in Europe and America. We anticipate that as a complementary transmission pathway, vaccine-breakthrough or antibody-resistant mutations, like those in Omicron, will become a dominating mechanism of SARS-CoV-2 evolution when most of the world's population is either vaccinated or infected. Our study sheds light on SARS-CoV-2 evolution and transmission and enables the design of the next-generation mutation-proof vaccines and antibody drugs.
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Affiliation(s)
- Rui Wang
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Jiahui Chen
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Guo-Wei Wei
- Department of Mathematics, Michigan State University, MI 48824, USA
- Department of Biochemistry and Molecular Biology Michigan State University, MI 48824, USA
- Department of Electrical and Computer Engineering Michigan State University, MI 48824, USA
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31
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Ward T, Glaser A, Johnsen A, Xu F, Hall I, Pellis L. Growth, reproduction numbers and factors affecting the spread of SARS-CoV-2 novel variants of concern in the UK from October 2020 to July 2021: a modelling analysis. BMJ Open 2021; 11:e056636. [PMID: 34819293 PMCID: PMC8613669 DOI: 10.1136/bmjopen-2021-056636] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/18/2021] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVES Importations of novel variants of concern (VOC), particularly B.1.617.2, have become the impetus behind recent outbreaks of SARS-CoV-2. Concerns around the impact on vaccine effectiveness, transmissibility and severity are now driving the public health response to these variants. This paper analyses the patterns of growth in hospitalisations and confirmed cases for novel VOCs by age groups, geography and ethnicity in the context of changing behaviour, non-pharmaceutical interventions (NPIs) and the UK vaccination programme. We seek to highlight where strategies have been effective and periods that have facilitated the establishment of new variants. DESIGN We have algorithmically linked the most complete testing and hospitalisation data in England to create a data set of confirmed infections and hospitalisations by SARS-CoV-2 genomic variant. We have used these linked data sets to analyse temporal, geographic and demographic distinctions. SETTING AND PARTICIPANTS The setting is England from October 2020 to July 2021. Participants included all COVID-19 tests that included RT-PCR CT gene target data or underwent sequencing and hospitalisations that could be linked to these tests. METHODS To calculate the instantaneous growth rate for VOCs we have developed a generalised additive model fit to multiple splines and varying day of the week effects. We have further modelled the instantaneous reproduction number Rt for the B.1.1.7 and B.1.617.2 variants and included a doubly interval censored model to temporally adjust the confirmed variant cases. RESULTS We observed a clear replacement of the predominant B.1.1.7 by the B.1.617.2 variant without observing sustained exponential growth in other novel variants. Modelled exponential growth of RT PCR gene target triple-positive cases was initially detected in the youngest age groups, although we now observe across all ages a very small doubling time of 10.7 (95% CI 9.1 to 13.2) days and 8 (95% CI 6.9 to 9.1) days for cases and hospitalisations, respectively. We observe that growth in RT PCR gene target triple-positive cases was first detected in the Indian ethnicity group in late February, with a peak of 0.06 (95% CI 0.07 to 0.05) in the instantaneous growth rate, but is now maintained by the white ethnicity groups, observing a doubling time of 6.8 (95% CI 4.9 to 11) days. Rt analysis indicates a reproduction number advantage of 0.45 for B.1.617.2 relative to B.1.1.7, with the Rt value peaking at 1.85 for B.1.617.2. CONCLUSIONS Our results illustrate a clear transmission advantage for the B.1.617.2 variant and the growth in hospitalisations illustrates that this variant is able to maintain exponential growth within age groups that are largely doubly vaccinated. There are concerning signs of intermittent growth in the B.1.351 variant, reaching a 28-day doubling time peak in March 2021, although this variant is presently not showing any evidence of a transmission advantage over B.1.617.2. Step 1b of the UK national lockdown easing was sufficient to precipitate exponential growth in B.1.617.2 cases for most regions and younger adult age groups. The final stages of NPI easing appeared to have a negligible impact on the growth of B.1.617.2 with every region experiencing sustained exponential growth from step 2. Nonetheless, early targeted local NPIs appeared to markedly reduced growth of B.1.617.2. Later localised interventions, at a time of higher prevalence and greater geographic dispersion of this variant, appeared to have a negligible impact on growth.
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Affiliation(s)
| | - Alex Glaser
- Department of Health and Social Care, London, UK
| | | | - Feng Xu
- The University of Manchester, Manchester, UK
| | - Ian Hall
- Department of Mathematics, University of Manchester, Manchester, UK
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32
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Chen J, Wang R, Wei GW. SARS-CoV-2 becoming more infectious as revealed by algebraic topology and deep learning. COMMUNICATIONS IN INFORMATION AND SYSTEMS 2021; 21:31-36. [PMID: 34675755 DOI: 10.4310/cis.2021.v21.n1.a2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused by coronavirus disease 2019 (COVID-19) has led to a tremendous human fatality and economic loss. SARS-CoV-2 infectivity is a key reason for the widespread viral transmission, but its rigorous experimental measurement is essentially impossible due to the ongoing genome evolution around the world. We show that artificial intelligence (AI) and algebraic topology (AT) offer an accurate and efficient alternative to the experimental determination of viral infectivity. AI and AT analysis indicates that the on-going mutations make SARS-CoV-2 more infectious.
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Affiliation(s)
- Jiahui Chen
- Department of Mathematics, Michigan State University MI 48824, USA
| | - Rui Wang
- Department of Mathematics, Michigan State University MI 48824, USA
| | - Guo-Wei Wei
- Department of Mathematics, Michigan State University MI 48824, USA
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33
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Ullah A, Mabood N, Maqbool M, Khan L, Ullah M. Cytidine deamination-induced perpetual immunity to SAR-CoV-2 infection is a potential new therapeutic target. Int J Med Sci 2021; 18:3788-3793. [PMID: 34790054 PMCID: PMC8579299 DOI: 10.7150/ijms.61779] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 07/19/2021] [Indexed: 12/23/2022] Open
Abstract
As the world is racing to develop perpetual immunity to the SARS-CoV-2 virus. The emergence of new viral strains, together with vaccination and reinfections, are all contributing to a long-term immunity against the deadly virus that has taken over the world since its introduction to humans in late December 2019. The discovery that more than 95 percent of people who recovered from COVID-19 had long-lasting immunity and that asymptomatic people have a different immune response to SARS-CoV-2 than symptomatic people has shifted attention to how our immune system initiates such diverse responses. These findings have provided reason to believe that SARS-CoV-2 days are numbered. Hundreds of research papers have been published on the causes of long-lasting immune responses and variations in the numbers of different immune cell types in COVID 19 survivors, but the main reason of these differences has still not been adequately identified. In this article, we focus on the activation-induced cytidine deaminase (AID), which initiates molecular processes that allow our immune system to generate antibodies against SARS-CoV-2. To establish lasting immunity to SARS-CoV-2, we suggest that AID could be the key to unlocking it.
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Affiliation(s)
- Asad Ullah
- Department of Radiation Oncology, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Neelam Mabood
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Muhammad Maqbool
- Department of Clinical & Diagnostic Sciences, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Luqman Khan
- Cardiovascular Research Institute, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Mujib Ullah
- Department of Immunology and Transplantation, School of Medicine, Stanford University, Stanford, California, USA
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34
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Wang R, Chen J, Wei GW. The evolution of the mechanisms of SARS-CoV-2 evolution revealing vaccine-resistant mutations in Europe and America. ARXIV 2021:arXiv:2110.04626v1. [PMID: 34642638 PMCID: PMC8509097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The importance of understanding SARS-CoV-2 evolution cannot be overemphasized. Recent studies confirm that natural selection is the dominating mechanism of SARS-CoV-2 evolution, which favors mutations that strengthen viral infectivity. We demonstrate that vaccine-breakthrough or antibody-resistant mutations provide a new mechanism of viral evolution. Specifically, vaccine-resistant mutation Y449S in the spike (S) protein receptor-bonding domain (RBD), which occurred in co-mutation [Y449S, N501Y], has reduced infectivity compared to the original SARS-CoV-2 but can disrupt existing antibodies that neutralize the virus. By tracing the evolutionary trajectories of vaccine-resistant mutations in over 1.9 million SARS-CoV-2 genomes, we reveal that the occurrence and frequency of vaccine-resistant mutations correlate strongly with the vaccination rates in Europe and America. We anticipate that as a complementary transmission pathway, vaccine-resistant mutations will become a dominating mechanism of SARS-CoV-2 evolution when most of the world's population is vaccinated. Our study sheds light on SARS-CoV-2 evolution and transmission and enables the design of the next-generation mutation-proof vaccines and antibody drugs.
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Affiliation(s)
- Rui Wang
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Jiahui Chen
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Guo-Wei Wei
- Department of Mathematics, Michigan State University, MI 48824, USA
- Department of Electrical and Computer Engineering, Michigan State University, MI 48824, USA
- Department of Biochemistry and Molecular Biology, Michigan State University, MI 48824, USA
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35
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Hamelin DJ, Fournelle D, Grenier JC, Schockaert J, Kovalchik KA, Kubiniok P, Mostefai F, Duquette JD, Saab F, Sirois I, Smith MA, Pattijn S, Soudeyns H, Decaluwe H, Hussin J, Caron E. The mutational landscape of SARS-CoV-2 variants diversifies T cell targets in an HLA-supertype-dependent manner. Cell Syst 2021; 13:143-157.e3. [PMID: 34637888 PMCID: PMC8492600 DOI: 10.1016/j.cels.2021.09.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 06/03/2021] [Accepted: 09/23/2021] [Indexed: 02/09/2023]
Abstract
The rapid, global dispersion of SARS-CoV-2 has led to the emergence of a diverse range of variants. Here, we describe how the mutational landscape of SARS-CoV-2 has shaped HLA-restricted T cell immunity at the population level during the first year of the pandemic. We analyzed a total of 330,246 high-quality SARS-CoV-2 genome assemblies, sampled across 143 countries and all major continents from December 2019 to December 2020 before mass vaccination or the rise of the Delta variant. We observed that proline residues are preferentially removed from the proteome of prevalent mutants, leading to a predicted global loss of SARS-CoV-2 T cell epitopes in individuals expressing HLA-B alleles of the B7 supertype family; this is largely driven by a dominant C-to-U mutation type at the RNA level. These results indicate that B7-supertype-associated epitopes, including the most immunodominant ones, were more likely to escape CD8+ T cell immunosurveillance during the first year of the pandemic.
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Affiliation(s)
| | - Dominique Fournelle
- Montreal Heart Institute, Department of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Jean-Christophe Grenier
- Montreal Heart Institute, Department of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Jana Schockaert
- ImmunXperts, a Nexelis Group Company, 6041 Gosselies, Belgium
| | | | - Peter Kubiniok
- CHU Sainte-Justine Research Center, Montréal, QC, Canada
| | - Fatima Mostefai
- Montreal Heart Institute, Department of Medicine, Université de Montréal, Montréal, QC, Canada
| | | | - Frederic Saab
- CHU Sainte-Justine Research Center, Montréal, QC, Canada
| | | | - Martin A Smith
- CHU Sainte-Justine Research Center, Montréal, QC, Canada; Department of Biochemistry and Molecular Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Sofie Pattijn
- ImmunXperts, a Nexelis Group Company, 6041 Gosselies, Belgium
| | - Hugo Soudeyns
- CHU Sainte-Justine Research Center, Montréal, QC, Canada; Department of Microbiology, Infectiology and Immunology, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada; Department of Pediatrics, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Hélène Decaluwe
- CHU Sainte-Justine Research Center, Montréal, QC, Canada; Department of Pediatrics, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Julie Hussin
- Montreal Heart Institute, Department of Medicine, Université de Montréal, Montréal, QC, Canada; Department of Biochemistry and Molecular Medicine, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.
| | - Etienne Caron
- CHU Sainte-Justine Research Center, Montréal, QC, Canada; Department of Pathology and Cellular Biology, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada.
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Chen J, Wang R, Wei GW. Review of the mechanisms of SARS-CoV-2 evolution and transmission. ARXIV 2021:arXiv:2109.08148v1. [PMID: 34545334 PMCID: PMC8452100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The mechanism of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) evolution and transmission is elusive and its understanding, a prerequisite to forecast emerging variants, is of paramount importance. SARS-CoV-2 evolution is driven by the mechanisms at molecular and organism scales and regulated by the transmission pathways at the population scale. In this review, we show that infectivity-based natural selection was discovered as the mechanism for SARS-CoV-2 evolution and transmission in July 2020. In April 2021, we proved beyond all doubt that such a natural selection via infectivity-based transmission pathway remained the sole mechanism for SARS-CoV-2 evolution. However, we reveal that antibody-disruptive co-mutations [Y449S, N501Y] on the spike protein receptor-binding domain (RBD) debuted as a new vaccine-resistant transmission pathway of viral evolution in highly vaccinated populations a few months ago. Over one year ago, we foresaw that mutations on RBD residues, 452 and 501, would "both have high chances to mutate into significantly more infectious COVID-19 strains". Mutations on these residues underpin prevailing SARS-CoV-2 variants Alpha, Beta, Gamma, Delta, Epsilon, Theta, Kappa, Lambda, and Mu at present and are expected to be vital to emerging variants in the future. We anticipate that viral evolution will combine RBD co-mutations at these two sites, creating future variants that are about ten times more infectious than the original SARS-CoV-2. Additionally, two complementary transmission pathways of viral evolution, i.e., infectivity and vaccine resistance will prolong our battle with COVID-19 for years. We predict that RBD co-mutation sets [A411S, L452R, T478K], [L452R, T478K, N501Y], [L452R, T478K, E484K, N501Y], [K417N, L452R, T478K], and [P384L, K417N, E484K, N501Y] will have a high chance to grow into dominating variants due to their high infectivity and/or strong ability to break through current vaccines, calling for the development of new vaccines and antibody therapies.
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Affiliation(s)
- Jiahui Chen
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Rui Wang
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Guo-Wei Wei
- Department of Mathematics, Michigan State University, MI 48824, USA
- Department of Electrical and Computer Engineering, Michigan State University, MI 48824, USA
- Department of Biochemistry and Molecular Biology, Michigan State University, MI 48824, USA
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Wang R, Chen J, Hozumi Y, Yin C, Wei GW. Emerging vaccine-breakthrough SARS-CoV-2 variants. ARXIV 2021:arXiv:2109.04509v1. [PMID: 34518803 PMCID: PMC8437313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The recent global surge in COVID-19 infections has been fueled by new SARS-CoV-2 variants, namely Alpha, Beta, Gamma, Delta, etc. The molecular mechanism underlying such surge is elusive due to 4,653 non-degenerate mutations on the spike protein, which is the target of most COVID-19 vaccines. The understanding of the molecular mechanism of transmission and evolution is a prerequisite to foresee the trend of emerging vaccine-breakthrough variants and the design of mutation-proof vaccines and monoclonal antibodies. We integrate the genotyping of 1,489,884 SARS-CoV-2 genomes isolates, 130 human antibodies, tens of thousands of mutational data points, topological data analysis, and deep learning to reveal SARS-CoV-2 evolution mechanism and forecast emerging vaccine-escape variants. We show that infectivity-strengthening and antibody-disruptive co-mutations on the S protein RBD can quantitatively explain the infectivity and virulence of all prevailing variants. We demonstrate that Lambda is as infectious as Delta but is more vaccine-resistant. We analyze emerging vaccine-breakthrough co-mutations in 20 countries, including the United Kingdom, the United States, Denmark, Brazil, and Germany, etc. We envision that natural selection through infectivity will continue to be the main mechanism for viral evolution among unvaccinated populations, while antibody disruptive co-mutations will fuel the future growth of vaccine-breakthrough variants among fully vaccinated populations. Finally, we have identified the co-mutations that have the great likelihood of becoming dominant: [A411S, L452R, T478K], [L452R, T478K, N501Y], [V401L, L452R, T478K], [K417N, L452R, T478K], [L452R, T478K, E484K, N501Y], and [P384L, K417N, E484K, N501Y]. We predict they, particularly the last four, will break through existing vaccines. We foresee an urgent need to develop new vaccines that target these co-mutations.
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Affiliation(s)
- Rui Wang
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Jiahui Chen
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Yuta Hozumi
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Changchuan Yin
- Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Guo-Wei Wei
- Department of Mathematics, Michigan State University, MI 48824, USA
- Department of Electrical and Computer Engineering, Michigan State University, MI 48824, USA
- Department of Biochemistry and Molecular Biology, Michigan State University, MI 48824, USA
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Kaneko S, Takasawa K, Asada K, Shinkai N, Bolatkan A, Yamada M, Takahashi S, Machino H, Kobayashi K, Komatsu M, Hamamoto R. Epigenetic Mechanisms Underlying COVID-19 Pathogenesis. Biomedicines 2021; 9:1142. [PMID: 34572329 PMCID: PMC8466119 DOI: 10.3390/biomedicines9091142] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 08/27/2021] [Accepted: 08/31/2021] [Indexed: 12/11/2022] Open
Abstract
In 2019, a novel severe acute respiratory syndrome called coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was reported and was declared a pandemic by the World Health Organization (WHO) in March 2020. With the advancing development of COVID-19 vaccines and their administration globally, it is expected that COVID-19 will converge in the future; however, the situation remains unpredictable because of a series of reports regarding SARS-CoV-2 variants. Currently, there are still few specific effective treatments for COVID-19, as many unanswered questions remain regarding the pathogenic mechanism of COVID-19. Continued elucidation of COVID-19 pathogenic mechanisms is a matter of global importance. In this regard, recent reports have suggested that epigenetics plays an important role; for instance, the expression of angiotensin I converting enzyme 2 (ACE2) receptor, an important factor in human infection with SARS-CoV-2, is epigenetically regulated; further, DNA methylation status is reported to be unique to patients with COVID-19. In this review, we focus on epigenetic mechanisms to provide a new molecular framework for elucidating the pathogenesis of SARS-CoV-2 infection in humans and of COVID-19, along with the possibility of new diagnostic and therapeutic strategies.
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Affiliation(s)
- Syuzo Kaneko
- Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; (S.K.); (K.T.); (K.A.); (N.S.); (A.B.); (M.Y.); (S.T.); (H.M.); (K.K.); (M.K.)
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
| | - Ken Takasawa
- Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; (S.K.); (K.T.); (K.A.); (N.S.); (A.B.); (M.Y.); (S.T.); (H.M.); (K.K.); (M.K.)
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
| | - Ken Asada
- Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; (S.K.); (K.T.); (K.A.); (N.S.); (A.B.); (M.Y.); (S.T.); (H.M.); (K.K.); (M.K.)
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
| | - Norio Shinkai
- Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; (S.K.); (K.T.); (K.A.); (N.S.); (A.B.); (M.Y.); (S.T.); (H.M.); (K.K.); (M.K.)
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
- Department of NCC Cancer Science, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan
| | - Amina Bolatkan
- Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; (S.K.); (K.T.); (K.A.); (N.S.); (A.B.); (M.Y.); (S.T.); (H.M.); (K.K.); (M.K.)
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
| | - Masayoshi Yamada
- Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; (S.K.); (K.T.); (K.A.); (N.S.); (A.B.); (M.Y.); (S.T.); (H.M.); (K.K.); (M.K.)
- National Cancer Center Hospital, Department of Endoscopy, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan
| | - Satoshi Takahashi
- Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; (S.K.); (K.T.); (K.A.); (N.S.); (A.B.); (M.Y.); (S.T.); (H.M.); (K.K.); (M.K.)
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
| | - Hidenori Machino
- Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; (S.K.); (K.T.); (K.A.); (N.S.); (A.B.); (M.Y.); (S.T.); (H.M.); (K.K.); (M.K.)
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
| | - Kazuma Kobayashi
- Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; (S.K.); (K.T.); (K.A.); (N.S.); (A.B.); (M.Y.); (S.T.); (H.M.); (K.K.); (M.K.)
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
| | - Masaaki Komatsu
- Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; (S.K.); (K.T.); (K.A.); (N.S.); (A.B.); (M.Y.); (S.T.); (H.M.); (K.K.); (M.K.)
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
| | - Ryuji Hamamoto
- Division of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; (S.K.); (K.T.); (K.A.); (N.S.); (A.B.); (M.Y.); (S.T.); (H.M.); (K.K.); (M.K.)
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
- Department of NCC Cancer Science, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan
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Li X, Zhang L, Chen S, Ji W, Li C, Ren L. Recent progress on the mutations of SARS-CoV-2 spike protein and suggestions for prevention and controlling of the pandemic. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2021; 93:104971. [PMID: 34146731 PMCID: PMC8213438 DOI: 10.1016/j.meegid.2021.104971] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/09/2021] [Accepted: 06/14/2021] [Indexed: 02/08/2023]
Abstract
Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection has caused a global pandemic in the past year, which poses continuing threat to human beings. To date, more than 3561 mutations in the viral spike protein were identified, including 2434 mutations that cause amino acid changes with 343 amino acids located in the viral receptor-binding domain (RBD). Among these mutations, the most representative ones are substitution mutations such as D614G, N501Y, Y453F, N439K/R, P681H, K417N/T, and E484K, and deletion mutations of ΔH69/V70 and Δ242-244, which confer the virus with enhanced infectivity, transmissibility, and resistance to neutralization. In this review, we discussed the recent findings of SARS-CoV-2 for highlighting mutations and variants on virus transmissibility and pathogenicity. Moreover, several suggestions for prevention and controlling the pandemic are also proposed.
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Affiliation(s)
- Xue Li
- College of Animal Sciences, Key Lab for Zoonoses Research, Ministry of Education, Jilin University, 5333 Xi' An Road, Changchun 130062, China
| | - Liying Zhang
- College of Animal Sciences, Key Lab for Zoonoses Research, Ministry of Education, Jilin University, 5333 Xi' An Road, Changchun 130062, China
| | - Si Chen
- College of Animal Sciences, Key Lab for Zoonoses Research, Ministry of Education, Jilin University, 5333 Xi' An Road, Changchun 130062, China
| | - Weilong Ji
- College of Animal Sciences, Key Lab for Zoonoses Research, Ministry of Education, Jilin University, 5333 Xi' An Road, Changchun 130062, China
| | - Chang Li
- Research Unit of Key Technologies for Prevention and Control of Virus Zoonoses, Chinese Academy of Medical Sciences, Military Veterinary Institute, Academy of Military Medical Sciences, Changchun 130112, China
| | - Linzhu Ren
- College of Animal Sciences, Key Lab for Zoonoses Research, Ministry of Education, Jilin University, 5333 Xi' An Road, Changchun 130062, China.
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Srivastava M, Hall D, Omoru OB, Gill HM, Smith S, Janga SC. Mutational Landscape and Interaction of SARS-CoV-2 with Host Cellular Components. Microorganisms 2021; 9:1794. [PMID: 34576690 PMCID: PMC8464733 DOI: 10.3390/microorganisms9091794] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 08/18/2021] [Accepted: 08/19/2021] [Indexed: 12/14/2022] Open
Abstract
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its rapid evolution has led to a global health crisis. Increasing mutations across the SARS-CoV-2 genome have severely impacted the development of effective therapeutics and vaccines to combat the virus. However, the new SARS-CoV-2 variants and their evolutionary characteristics are not fully understood. Host cellular components such as the ACE2 receptor, RNA-binding proteins (RBPs), microRNAs, small nuclear RNA (snRNA), 18s rRNA, and the 7SL RNA component of the signal recognition particle (SRP) interact with various structural and non-structural proteins of the SARS-CoV-2. Several of these viral proteins are currently being examined for designing antiviral therapeutics. In this review, we discuss current advances in our understanding of various host cellular components targeted by the virus during SARS-CoV-2 infection. We also summarize the mutations across the SARS-CoV-2 genome that directs the evolution of new viral strains. Considering coronaviruses are rapidly evolving in humans, this enables them to escape therapeutic therapies and vaccine-induced immunity. In order to understand the virus's evolution, it is essential to study its mutational patterns and their impact on host cellular machinery. Finally, we present a comprehensive survey of currently available databases and tools to study viral-host interactions that stand as crucial resources for developing novel therapeutic strategies for combating SARS-CoV-2 infection.
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Affiliation(s)
- Mansi Srivastava
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University Indianapolis, Informatics and Communications Technology Complex, 535 West Michigan Street, Indianapolis, IN 46202, USA; (M.S.); (D.H.); (O.B.O.); (H.M.G.); (S.S.)
| | - Dwight Hall
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University Indianapolis, Informatics and Communications Technology Complex, 535 West Michigan Street, Indianapolis, IN 46202, USA; (M.S.); (D.H.); (O.B.O.); (H.M.G.); (S.S.)
| | - Okiemute Beatrice Omoru
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University Indianapolis, Informatics and Communications Technology Complex, 535 West Michigan Street, Indianapolis, IN 46202, USA; (M.S.); (D.H.); (O.B.O.); (H.M.G.); (S.S.)
| | - Hunter Mathias Gill
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University Indianapolis, Informatics and Communications Technology Complex, 535 West Michigan Street, Indianapolis, IN 46202, USA; (M.S.); (D.H.); (O.B.O.); (H.M.G.); (S.S.)
| | - Sarah Smith
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University Indianapolis, Informatics and Communications Technology Complex, 535 West Michigan Street, Indianapolis, IN 46202, USA; (M.S.); (D.H.); (O.B.O.); (H.M.G.); (S.S.)
| | - Sarath Chandra Janga
- Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University Indianapolis, Informatics and Communications Technology Complex, 535 West Michigan Street, Indianapolis, IN 46202, USA; (M.S.); (D.H.); (O.B.O.); (H.M.G.); (S.S.)
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 410 West 10th Street, Indianapolis, IN 46202, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Medical Research and Library Building, 975 West Walnut Street, Indianapolis, IN 46202, USA
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Zou S, He X. Effect of Train-Induced Wind on the Transmission of COVID-19: A New Insight into Potential Infectious Risks. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:8164. [PMID: 34360459 PMCID: PMC8345946 DOI: 10.3390/ijerph18158164] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/07/2021] [Accepted: 07/21/2021] [Indexed: 12/16/2022]
Abstract
The unprecedented COVID-19 pandemic has caused a traffic tie-up across the world. In addition to home quarantine orders and travel bans, the social distance guideline of about six feet was enacted to reduce the risk of contagion. However, with recent life gradually returning to normal, the crisis is not over. In this research, a moving train test and a Gaussian puff model were employed to investigate the impact of wind raised by a train running on the transmission and dispersion of SARS-CoV-2 from infected individuals. Our findings suggest that the 2 m social distance guideline may not be enough; under train-induced wind action, human respiratory disease-carrier droplets may travel to unexpected places. However, there are deficiencies in passenger safety guidelines and it is necessary to improve the quantitative research in the relationship between train-induced wind and virus transmission. All these findings could provide a fresh insight to contain the spread of COVID-19 and provide a basis for preventing and controlling the pandemic virus, and probe into strategies for control of the disease in the future.
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Affiliation(s)
- Simin Zou
- School of Civil Engineering, Central South University, Changsha 410075, China
- Natiaonl Engineering Laboratory for High Speed Railway Construction, Changsha 410075, China
- Joint International Resarch Laboratory of Key Technology for Rail Traffic Safety, Changsha 410075, China
- Hunan Provincial Key Laboratory for Disaster Prevention and Mitigation of Rail Transit Engineering Structure, Changsha 410075, China
| | - Xuhui He
- School of Civil Engineering, Central South University, Changsha 410075, China
- Natiaonl Engineering Laboratory for High Speed Railway Construction, Changsha 410075, China
- Joint International Resarch Laboratory of Key Technology for Rail Traffic Safety, Changsha 410075, China
- Hunan Provincial Key Laboratory for Disaster Prevention and Mitigation of Rail Transit Engineering Structure, Changsha 410075, China
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Tasakis RN, Samaras G, Jamison A, Lee M, Paulus A, Whitehouse G, Verkoczy L, Papavasiliou FN, Diaz M. SARS-CoV-2 variant evolution in the United States: High accumulation of viral mutations over time likely through serial Founder Events and mutational bursts. PLoS One 2021; 16:e0255169. [PMID: 34297786 PMCID: PMC8301627 DOI: 10.1371/journal.pone.0255169] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/11/2021] [Indexed: 12/13/2022] Open
Abstract
Since the first case of COVID-19 in December 2019 in Wuhan, China, SARS-CoV-2 has spread worldwide and within a year and a half has caused 3.56 million deaths globally. With dramatically increasing infection numbers, and the arrival of new variants with increased infectivity, tracking the evolution of its genome is crucial for effectively controlling the pandemic and informing vaccine platform development. Our study explores evolution of SARS-CoV-2 in a representative cohort of sequences covering the entire genome in the United States, through all of 2020 and early 2021. Strikingly, we detected many accumulating Single Nucleotide Variations (SNVs) encoding amino acid changes in the SARS-CoV-2 genome, with a pattern indicative of RNA editing enzymes as major mutators of SARS-CoV-2 genomes. We report three major variants through October of 2020. These revealed 14 key mutations that were found in various combinations among 14 distinct predominant signatures. These signatures likely represent evolutionary lineages of SARS-CoV-2 in the U.S. and reveal clues to its evolution such as a mutational burst in the summer of 2020 likely leading to a homegrown new variant, and a trend towards higher mutational load among viral isolates, but with occasional mutation loss. The last quartile of 2020 revealed a concerning accumulation of mostly novel low frequency replacement mutations in the Spike protein, and a hypermutable glutamine residue near the putative furin cleavage site. Finally, end of the year data and 2021 revealed the gradual increase to prevalence of known variants of concern, particularly B.1.1.7, that have acquired additional Spike mutations. Overall, our results suggest that predominant viral genomes are dynamically evolving over time, with periods of mutational bursts and unabated mutation accumulation. This high level of existing variation, even at low frequencies and especially in the Spike-encoding region may become problematic when super-spreader events, akin to serial Founder Events in evolution, drive these rare mutations to prominence.
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Affiliation(s)
- Rafail Nikolaos Tasakis
- Division of Immune Diversity, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Biosciences, University of Heidelberg, Heidelberg, Germany
| | - Georgios Samaras
- Division of Immune Diversity, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Program of Translational Medical Research, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Anna Jamison
- The Nightingale-Bamford School, New York, NY, United States of America
| | - Michelle Lee
- Cornell University, Ithaca, NY, United States of America
| | - Alexandra Paulus
- The Nightingale-Bamford School, New York, NY, United States of America
| | | | - Laurent Verkoczy
- San Diego Biomedical Research Institute (SDBRI), San Diego, CA, United States of America
| | - F. Nina Papavasiliou
- Division of Immune Diversity, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marilyn Diaz
- San Diego Biomedical Research Institute (SDBRI), San Diego, CA, United States of America
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Li X, Zhang L, Chen S, Ouyang H, Ren L. Possible Targets of Pan-Coronavirus Antiviral Strategies for Emerging or Re-Emerging Coronaviruses. Microorganisms 2021; 9:1479. [PMID: 34361915 PMCID: PMC8306356 DOI: 10.3390/microorganisms9071479] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/05/2021] [Accepted: 07/09/2021] [Indexed: 12/16/2022] Open
Abstract
Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), which caused Coronaviruses Disease 2019 (COVID-19) and a worldwide pandemic, is the seventh human coronavirus that has been cross-transmitted from animals to humans. It can be predicted that with continuous contact between humans and animals, more viruses will spread from animals to humans. Therefore, it is imperative to develop universal coronavirus or pan-coronavirus vaccines or drugs against the next coronavirus pandemic. However, a suitable target is critical for developing pan-coronavirus antivirals against emerging or re-emerging coronaviruses. In this review, we discuss the latest progress of possible targets of pan-coronavirus antiviral strategies for emerging or re-emerging coronaviruses, including targets for pan-coronavirus inhibitors and vaccines, which will provide prospects for the current and future research and treatment of the disease.
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Affiliation(s)
| | | | | | | | - Linzhu Ren
- Key Laboratory for Zoonoses Research, College of Animal Sciences, Ministry of Education, Jilin University, 5333 Xi’An Road, Changchun 130062, China; (X.L.); (L.Z.); (S.C.); (H.O.)
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Wang R, Chen J, Gao K, Wei GW. Vaccine-escape and fast-growing mutations in the United Kingdom, the United States, Singapore, Spain, India, and other COVID-19-devastated countries. Genomics 2021; 113:2158-2170. [PMID: 34004284 PMCID: PMC8123493 DOI: 10.1016/j.ygeno.2021.05.006] [Citation(s) in RCA: 134] [Impact Index Per Article: 44.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 04/30/2021] [Accepted: 05/10/2021] [Indexed: 01/04/2023]
Abstract
Recently, the SARS-CoV-2 variants from the United Kingdom (UK), South Africa, and Brazil have received much attention for their increased infectivity, potentially high virulence, and possible threats to existing vaccines and antibody therapies. The question remains if there are other more infectious variants transmitted around the world. We carry out a large-scale study of 506,768 SARS-CoV-2 genome isolates from patients to identify many other rapidly growing mutations on the spike (S) protein receptor-binding domain (RBD). We reveal that essentially all 100 most observed mutations strengthen the binding between the RBD and the host angiotensin-converting enzyme 2 (ACE2), indicating the virus evolves toward more infectious variants. In particular, we discover new fast-growing RBD mutations N439K, S477N, S477R, and N501T that also enhance the RBD and ACE2 binding. We further unveil that mutation N501Y involved in United Kingdom (UK), South Africa, and Brazil variants may moderately weaken the binding between the RBD and many known antibodies, while mutations E484K and K417N found in South Africa and Brazilian variants, L452R and E484Q found in India variants, can potentially disrupt the binding between the RBD and many known antibodies. Among these RBD mutations, L452R is also now known as part of the California variant B.1.427. Finally, we hypothesize that RBD mutations that can simultaneously make SARS-CoV-2 more infectious and disrupt the existing antibodies, called vaccine escape mutations, will pose an imminent threat to the current crop of vaccines. A list of most likely vaccine escape mutations is given, including S494P, Q493L, K417N, F490S, F486L, R403K, E484K, L452R, K417T, F490L, E484Q, and A475S. Mutation T478K appears to make the Mexico variant B.1.1.222 the most infectious one. Our comprehensive genetic analysis and protein-protein binding study show that the genetic evolution of SARS-CoV-2 on the RBD, which may be regulated by host gene editing, viral proofreading, random genetic drift, and natural selection, gives rise to more infectious variants that will potentially compromise existing vaccines and antibody therapies.
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Affiliation(s)
- Rui Wang
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Jiahui Chen
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Kaifu Gao
- Department of Mathematics, Michigan State University, MI 48824, USA
| | - Guo-Wei Wei
- Department of Mathematics, Michigan State University, MI 48824, USA; Department of Electrical and Computer Engineering, Michigan State University, MI 48824, USA; Department of Biochemistry and Molecular Biology, Michigan State University, MI 48824, USA.
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Emam M, Oweda M, Antunes A, El-Hadidi M. Positive selection as a key player for SARS-CoV-2 pathogenicity: Insights into ORF1ab, S and E genes. Virus Res 2021; 302:198472. [PMID: 34118359 PMCID: PMC8190378 DOI: 10.1016/j.virusres.2021.198472] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 06/02/2021] [Accepted: 06/03/2021] [Indexed: 12/16/2022]
Abstract
The human β-coronavirus SARS-CoV-2 epidemic started in late December 2019 in Wuhan, China. It causes Covid-19 disease which has become pandemic. Each of the five-known human β-coronaviruses has four major structural proteins (E, M, N and S) and 16 non-structural proteins encoded by ORF1a and ORF1b together (ORF1ab) that are involved in virus pathogenicity and infectivity. Here, we performed detailed positive selection analyses for those six genes among the four previously known human β-coronaviruses and within 38 SARS-CoV-2 genomes to assess signatures of adaptive evolution using maximum likelihood approaches. Our results suggest that three genes (E, S and ORF1ab genes) are under strong signatures of positive selection among human β-coronavirus, influencing codons that are located in functional important protein domains. The E protein-coding gene showed signatures of positive selection in two sites, Asp 66 and Ser 68, located inside a putative transmembrane α-helical domain C-terminal part, which is preferentially composed by hydrophilic residues. Such Asp and Ser sites substitutions (hydrophilic residues) increase the stability of the transmembrane domain in SARS-CoV-2. Moreover, substitutions in the spike (S) protein S1 N-terminal domain have been found, all of them were located on the S protein surface, suggesting their importance in viral transmissibility and survival. Furthermore, evidence of strong positive selection was detected in three of the SARS-CoV-2 nonstructural proteins (NSP1, NSP3, NSP16), which are encoded by ORF1ab and play vital roles in suppressing host translation machinery, viral replication and transcription and inhibiting the host immune response. These results are insightful to assess the role of positive selection in the SARS-CoV-2 encoded proteins, which will allow to better understand the virulent pathogenicity of the virus and potentially identifying targets for drug or vaccine strategy design
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Affiliation(s)
- Mohamed Emam
- Bioinformatics group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
| | - Mariam Oweda
- Bioinformatics group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
| | - Agostinho Antunes
- CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos, s/n, 4450-208 Porto, Portugal; Department of Biology, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal.
| | - Mohamed El-Hadidi
- Bioinformatics group, Center for Informatics Sciences (CIS), Nile University, Giza, Egypt
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Mengist HM, Kombe Kombe AJ, Mekonnen D, Abebaw A, Getachew M, Jin T. Mutations of SARS-CoV-2 spike protein: Implications on immune evasion and vaccine-induced immunity. Semin Immunol 2021; 55:101533. [PMID: 34836774 PMCID: PMC8604694 DOI: 10.1016/j.smim.2021.101533] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 11/09/2021] [Accepted: 11/16/2021] [Indexed: 02/04/2023]
Abstract
Responsible for more than 4.9 million deaths so far, COVID-19, caused by SARS-CoV-2, is instigating devastating effects on the global health care system whose impacts could be longer for the years to come. Acquiring a comprehensive knowledge of host-virus interaction is critical for designing effective vaccines and/or drugs. Understanding the evolution of the virus and the impact of genetic variability on host immune evasion and vaccine efficacy is helpful to design novel strategies to minimize the effects of the emerging variants of concern (VOC). Most vaccines under development and/or in current use target the spike protein owning to its unique function of host receptor binding, relatively conserved nature, potent immunogenicity in inducing neutralizing antibodies, and being a good target of T cell responses. However, emerging SARS-CoV-2 strains are exhibiting variability on the spike protein which could affect the efficacy of vaccines and antibody-based therapies in addition to enhancing viral immune evasion mechanisms. Currently, the degree to which mutations on the spike protein affect immunity and vaccination, and the ability of the current vaccines to confer protection against the emerging variants attracts much attention. This review discusses the implications of SARS-CoV-2 spike protein mutations on immune evasion and vaccine-induced immunity and forward directions which could contribute to future studies focusing on designing effective vaccines and/or immunotherapies to consider viral evolution. Combining vaccines derived from different regions of the spike protein that boost both the humoral and cellular wings of adaptive immunity could be the best options to cope with the emerging VOC.
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Affiliation(s)
- Hylemariam Mihiretie Mengist
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Arnaud John Kombe Kombe
- Hefei National Laboratory for Physical Sciences at Microscale, CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science & Technology of China, Hefei, Anhui, 230027, China
| | - Daniel Mekonnen
- Hefei National Laboratory for Physical Sciences at Microscale, CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science & Technology of China, Hefei, Anhui, 230027, China
| | - Abtie Abebaw
- Department of Medical Laboratory Science, College of Health Science, Debre Markos University, Debre Markos, 269, Ethiopia
| | - Melese Getachew
- Department of Clinical Pharmacy, College of Health Science, Debre Markos University, Debre Markos, 269, Ethiopia
| | - Tengchuan Jin
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China; Hefei National Laboratory for Physical Sciences at Microscale, CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science & Technology of China, Hefei, Anhui, 230027, China; CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Science, Shanghai, 200031, China.
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Li T, Huang T, Guo C, Wang A, Shi X, Mo X, Lu Q, Sun J, Hui T, Tian G, Wang L, Yang J. Genomic variation, origin tracing, and vaccine development of SARS-CoV-2: A systematic review. Innovation (N Y) 2021; 2:100116. [PMID: 33997827 PMCID: PMC8110321 DOI: 10.1016/j.xinn.2021.100116] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 04/30/2021] [Indexed: 02/07/2023] Open
Abstract
COVID-19 has spread globally to over 200 countries with more than 40 million confirmed cases and one million deaths as of November 1, 2020. The SARS-CoV-2 virus, leading to COVID-19, shows extremely high rates of infectivity and replication, and can result in pneumonia, acute respiratory distress, or even mortality. SARS-CoV-2 has been found to continue to rapidly evolve, with several genomic variants emerging in different regions throughout the world. In addition, despite intensive study of the spike protein, its origin, and molecular mechanisms in mediating host invasion are still only partially resolved. Finally, the repertoire of drugs for COVID-19 treatment is still limited, with several candidates still under clinical trial and no effective therapeutic yet reported. Although vaccines based on either DNA/mRNA or protein have been deployed, their efficacy against emerging variants requires ongoing study, with multivalent vaccines supplanting the first-generation vaccines due to their low efficacy against new strains. Here, we provide a systematic review of studies on the epidemiology, immunological pathogenesis, molecular mechanisms, and structural biology, as well as approaches for drug or vaccine development for SARS-CoV-2.
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Affiliation(s)
- Tianbao Li
- Genetic Testing Center, Academician Workstation, Changsha Medical University, Changsha 410219, China
- Geneis (Beijing) Co., Ltd, Beijing 100102, China
- Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao 266000, China
| | - Tao Huang
- Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
| | - Cheng Guo
- Center for Infection and Immunity, School of Public Health, Columbia University, New York, NY 10032, USA
| | - Ailan Wang
- Geneis (Beijing) Co., Ltd, Beijing 100102, China
- Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao 266000, China
| | - Xiaoli Shi
- Geneis (Beijing) Co., Ltd, Beijing 100102, China
- Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao 266000, China
| | - Xiaofei Mo
- Geneis (Beijing) Co., Ltd, Beijing 100102, China
- Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao 266000, China
| | - Qingqing Lu
- Geneis (Beijing) Co., Ltd, Beijing 100102, China
- Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao 266000, China
| | - Jing Sun
- Department of Pathology, The George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Tingting Hui
- Geneis (Beijing) Co., Ltd, Beijing 100102, China
| | - Geng Tian
- Geneis (Beijing) Co., Ltd, Beijing 100102, China
- Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao 266000, China
| | - Leyi Wang
- Veterinary Diagnostic Laboratory and Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61802, USA
- Corresponding author
| | - Jialiang Yang
- Genetic Testing Center, Academician Workstation, Changsha Medical University, Changsha 410219, China
- Geneis (Beijing) Co., Ltd, Beijing 100102, China
- Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao 266000, China
- Corresponding author
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Matyášek R, Řehůřková K, Berta Marošiová K, Kovařík A. Mutational Asymmetries in the SARS-CoV-2 Genome May Lead to Increased Hydrophobicity of Virus Proteins. Genes (Basel) 2021; 12:826. [PMID: 34072181 PMCID: PMC8227412 DOI: 10.3390/genes12060826] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/21/2021] [Accepted: 05/25/2021] [Indexed: 12/23/2022] Open
Abstract
The genomic diversity of SARS-CoV-2 has been a focus during the ongoing COVID-19 pandemic. Here, we analyzed the distribution and character of emerging mutations in a data set comprising more than 95,000 virus genomes covering eight major SARS-CoV-2 lineages in the GISAID database, including genotypes arising during COVID-19 therapy. Globally, the C>U transitions and G>U transversions were the most represented mutations, accounting for the majority of single-nucleotide variations. Mutational spectra were not influenced by the time the virus had been circulating in its host or medical treatment. At the amino acid level, we observed about a 2-fold excess of substitutions in favor of hydrophobic amino acids over the reverse. However, most mutations constituting variants of interests of the S-protein (spike) lead to hydrophilic amino acids, counteracting the global trend. The C>U and G>U substitutions altered codons towards increased amino acid hydrophobicity values in more than 80% of cases. The bias is explained by the existing differences in the codon composition for amino acids bearing contrasting biochemical properties. Mutation asymmetries apparently influence the biochemical features of SARS CoV-2 proteins, which may impact protein-protein interactions, fusion of viral and cellular membranes, and virion assembly.
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Affiliation(s)
| | | | | | - Aleš Kovařík
- Laboratory of Molecular Epigenetics, Institute of Biophysics, Academy of Sciences of the Czech Republic, Královopolská 135, 61265 Brno, Czech Republic; (R.M.); (K.Ř.); (K.B.M.)
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Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis. Commun Biol 2021; 4:590. [PMID: 34002013 PMCID: PMC8128904 DOI: 10.1038/s42003-021-02095-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 04/05/2021] [Indexed: 02/03/2023] Open
Abstract
The novel betacoronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a worldwide pandemic (COVID-19) after emerging in Wuhan, China. Here we analyzed public host and viral RNA sequencing data to better understand how SARS-CoV-2 interacts with human respiratory cells. We identified genes, isoforms and transposable element families that are specifically altered in SARS-CoV-2-infected respiratory cells. Well-known immunoregulatory genes including CSF2, IL32, IL-6 and SERPINA3 were differentially expressed, while immunoregulatory transposable element families were upregulated. We predicted conserved interactions between the SARS-CoV-2 genome and human RNA-binding proteins such as the heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) and eukaryotic initiation factor 4 (eIF4b). We also identified a viral sequence variant with a statistically significant skew associated with age of infection, that may contribute to intracellular host-pathogen interactions. These findings can help identify host mechanisms that can be targeted by prophylactics and/or therapeutics to reduce the severity of COVID-19.
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De Maio N, Walker CR, Turakhia Y, Lanfear R, Corbett-Detig R, Goldman N. Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2. Genome Biol Evol 2021; 13:evab087. [PMID: 33895815 PMCID: PMC8135539 DOI: 10.1093/gbe/evab087] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2021] [Indexed: 12/23/2022] Open
Abstract
The COVID-19 pandemic has seen an unprecedented response from the sequencing community. Leveraging the sequence data from more than 140,000 SARS-CoV-2 genomes, we study mutation rates and selective pressures affecting the virus. Understanding the processes and effects of mutation and selection has profound implications for the study of viral evolution, for vaccine design, and for the tracking of viral spread. We highlight and address some common genome sequence analysis pitfalls that can lead to inaccurate inference of mutation rates and selection, such as ignoring skews in the genetic code, not accounting for recurrent mutations, and assuming evolutionary equilibrium. We find that two particular mutation rates, G →U and C →U, are similarly elevated and considerably higher than all other mutation rates, causing the majority of mutations in the SARS-CoV-2 genome, and are possibly the result of APOBEC and ROS activity. These mutations also tend to occur many times at the same genome positions along the global SARS-CoV-2 phylogeny (i.e., they are very homoplasic). We observe an effect of genomic context on mutation rates, but the effect of the context is overall limited. Although previous studies have suggested selection acting to decrease U content at synonymous sites, we bring forward evidence suggesting the opposite.
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Affiliation(s)
- Nicola De Maio
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridgeshire, United Kingdom
| | - Conor R Walker
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridgeshire, United Kingdom
- Department of Genetics, University of Cambridge, United Kingdom
| | - Yatish Turakhia
- Department of Biomolecular Engineering, University of California, Santa Cruz, California, USA
- Genomics Institute, University of California, Santa Cruz, California, USA
| | - Robert Lanfear
- Department of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - Russell Corbett-Detig
- Department of Biomolecular Engineering, University of California, Santa Cruz, California, USA
- Genomics Institute, University of California, Santa Cruz, California, USA
| | - Nick Goldman
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridgeshire, United Kingdom
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