1
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Shen J, Xu X, Fan J, Chen H, Zhao Y, Huang W, Liu W, Zhang Z, Cui Q, Li Q, Niu Z, Jiang D, Cao G. APOBEC3-related mutations in the spike protein-encoding region facilitate SARS-CoV-2 evolution. Heliyon 2024; 10:e32139. [PMID: 38868014 PMCID: PMC11168432 DOI: 10.1016/j.heliyon.2024.e32139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/14/2024] Open
Abstract
SARS-CoV-2 evolves gradually to cause COVID-19 epidemic. One of driving forces of SARS-CoV-2 evolution might be activation of apolipoprotein B mRNA editing catalytic subunit-like protein 3 (APOBEC3) by inflammatory factors. Here, we aimed to elucidate the effect of the APOBEC3-related viral mutations on the infectivity and immune evasion of SARS-CoV-2. The APOBEC3-related C > U mutations ranked as the second most common mutation types in the SARS-CoV-2 genome. mRNA expression of APOBEC3A (A3A), APOBEC3B (A3B), and APOBEC3G (A3G) in peripheral blood cells increased with disease severity. A3B, a critical member of the APOBEC3 family, was significantly upregulated in both severe and moderate COVID-19 patients and positively associated with neutrophil proportion and COVID-19 severity. We identified USP18 protein, a key molecule centralizing the protein-protein interaction network of key APOBEC3 proteins. Furthermore, mRNA expression of USP18 was significantly correlated to ACE2 and TMPRSS2 expression in the tissue of upper airways. Knockdown of USP18 mRNA significantly decreased A3B expression. Ectopic expression of A3B gene increased SARS-CoV-2 infectivity. C > U mutations at S371F, S373L, and S375F significantly conferred with the immune escape of SARS-CoV-2. Thus, APOBEC3, whose expression are upregulated by inflammatory factors, might promote SARS-CoV-2 evolution and spread via upregulating USP18 level and facilitating the immune escape. A3B and USP18 might be therapeutic targets for interfering with SARS-CoV-2 evolution.
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Affiliation(s)
- Jiaying Shen
- Tongji University School of Medicine, Tongji University, Shanghai 200120, China
- Key Laboratory of Biological Defense, Ministry of Education, China
- Shanghai Key Laboratory of Medical Bioprotection, China
| | - Xinxin Xu
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Junyan Fan
- Key Laboratory of Biological Defense, Ministry of Education, China
- Shanghai Key Laboratory of Medical Bioprotection, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Hongsen Chen
- Key Laboratory of Biological Defense, Ministry of Education, China
- Shanghai Key Laboratory of Medical Bioprotection, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Yue Zhao
- Key Laboratory of Biological Defense, Ministry of Education, China
- Shanghai Key Laboratory of Medical Bioprotection, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Weijin Huang
- Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), WHO Collaborating Center for Standardization and Evaluation of Biologicals, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products and NMPA Key Laboratory for Quality Research and Evaluation of Biological Products, 102629 Beijing, China
| | - Wenbin Liu
- Key Laboratory of Biological Defense, Ministry of Education, China
- Shanghai Key Laboratory of Medical Bioprotection, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Zihan Zhang
- Tongji University School of Medicine, Tongji University, Shanghai 200120, China
- Key Laboratory of Biological Defense, Ministry of Education, China
- Shanghai Key Laboratory of Medical Bioprotection, China
| | - Qianqian Cui
- Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), WHO Collaborating Center for Standardization and Evaluation of Biologicals, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products and NMPA Key Laboratory for Quality Research and Evaluation of Biological Products, 102629 Beijing, China
| | - Qianqian Li
- Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), WHO Collaborating Center for Standardization and Evaluation of Biologicals, NHC Key Laboratory of Research on Quality and Standardization of Biotech Products and NMPA Key Laboratory for Quality Research and Evaluation of Biological Products, 102629 Beijing, China
| | - Zheyun Niu
- Tongji University School of Medicine, Tongji University, Shanghai 200120, China
- Key Laboratory of Biological Defense, Ministry of Education, China
- Shanghai Key Laboratory of Medical Bioprotection, China
| | - Dongming Jiang
- Tongji University School of Medicine, Tongji University, Shanghai 200120, China
- Key Laboratory of Biological Defense, Ministry of Education, China
- Shanghai Key Laboratory of Medical Bioprotection, China
| | - Guangwen Cao
- Tongji University School of Medicine, Tongji University, Shanghai 200120, China
- Key Laboratory of Biological Defense, Ministry of Education, China
- Shanghai Key Laboratory of Medical Bioprotection, China
- Department of Epidemiology, Second Military Medical University, Shanghai, China
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2
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Bradley CC, Wang C, Gordon AJE, Wen AX, Luna PN, Cooke MB, Kohrn BF, Kennedy SR, Avadhanula V, Piedra PA, Lichtarge O, Shaw CA, Ronca SE, Herman C. Targeted accurate RNA consensus sequencing (tARC-seq) reveals mechanisms of replication error affecting SARS-CoV-2 divergence. Nat Microbiol 2024; 9:1382-1392. [PMID: 38649410 DOI: 10.1038/s41564-024-01655-4] [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: 12/04/2023] [Accepted: 02/28/2024] [Indexed: 04/25/2024]
Abstract
RNA viruses, like SARS-CoV-2, depend on their RNA-dependent RNA polymerases (RdRp) for replication, which is error prone. Monitoring replication errors is crucial for understanding the virus's evolution. Current methods lack the precision to detect rare de novo RNA mutations, particularly in low-input samples such as those from patients. Here we introduce a targeted accurate RNA consensus sequencing method (tARC-seq) to accurately determine the mutation frequency and types in SARS-CoV-2, both in cell culture and clinical samples. Our findings show an average of 2.68 × 10-5 de novo errors per cycle with a C > T bias that cannot be solely attributed to APOBEC editing. We identified hotspots and cold spots throughout the genome, correlating with high or low GC content, and pinpointed transcription regulatory sites as regions more susceptible to errors. tARC-seq captured template switching events including insertions, deletions and complex mutations. These insights shed light on the genetic diversity generation and evolutionary dynamics of SARS-CoV-2.
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Affiliation(s)
- Catherine C Bradley
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Baylor College of Medicine Medical Scientist Training Program, Houston, TX, USA
- Robert and Janice McNair Foundation/ McNair Medical Institute M.D./Ph.D. Scholars program, Houston, TX, USA
| | - Chen Wang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Alasdair J E Gordon
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Alice X Wen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Baylor College of Medicine Medical Scientist Training Program, Houston, TX, USA
- Robert and Janice McNair Foundation/ McNair Medical Institute M.D./Ph.D. Scholars program, Houston, TX, USA
| | - Pamela N Luna
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Matthew B Cooke
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Brendan F Kohrn
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Scott R Kennedy
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Vasanthi Avadhanula
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Pedro A Piedra
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Olivier Lichtarge
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Chad A Shaw
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Shannon E Ronca
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
- Feigin Biosafety Level 3 Facility, Texas Children's Hospital, Houston, TX, USA
- National School of Tropical Medicine, Department of Pediatrics Tropical Medicine, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA
| | - Christophe Herman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA.
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3
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Colson P, Chaudet H, Delerce J, Pontarotti P, Levasseur A, Fantini J, La Scola B, Devaux C, Raoult D. Role of SARS-CoV-2 mutations in the evolution of the COVID-19 pandemic. J Infect 2024; 88:106150. [PMID: 38570164 DOI: 10.1016/j.jinf.2024.106150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 03/12/2024] [Accepted: 03/27/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVES The SARS-CoV-2 pandemic and large-scale genomic surveillance provided an exceptional opportunity to analyze mutations that appeared over three years in viral genomes. Here we studied mutations and their epidemic consequences for SARS-CoV-2 genomes from our center. METHODS We analyzed 61,397 SARS-CoV-2 genomes we sequenced from respiratory samples for genomic surveillance. Mutations frequencies were calculated using Nextclade, Microsoft Excel, and an in-house Python script. RESULTS A total of 22,225 nucleotide mutations were identified, 220 (1.0%) being each at the root of ≥836 genomes, classifying mutations as 'hyperfertile'. Two seeded the European pandemic: P323L in RNA polymerase, associated with an increased mutation rate, and D614G in spike that improved fitness. Most 'hyperfertile' mutations occurred in areas not predicted with increased virulence. Their mean number was 8±6 (0-22) per 1000 nucleotides per gene. They were 3.7-times more frequent in accessory than informational genes (13.8 versus 3.7/1000 nucleotides). Particularly, they were 4.1-times more frequent in ORF8 than in the RNA polymerase gene. Interestingly, stop codons were present in 97 positions, almost only in accessory genes, including ORF8 (21/100 codons). CONCLUSIONS most 'hyperfertile' mutations did not predict emergence of a new epidemic, and some were stop codons indicating the existence of so-named 'non-virulence' genes.
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Affiliation(s)
- Philippe Colson
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Université, Microbes Evolution Phylogeny and Infections (MEPHI), 27 Boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 Rue Saint-Pierre, 13005 Marseille, France
| | - Hervé Chaudet
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 Rue Saint-Pierre, 13005 Marseille, France; Aix-Marseille Université, Institut de Recherche pour le Développement (IRD), Vecteurs, Infections Tropicales et Méditerranéennes (VITROME), 27 Boulevard Jean Moulin, 13005 Marseille, France; French Armed Forces Center for Epidemiology and Public Health (CESPA), Camp de Sainte Marthe, Marseille, France
| | - Jérémy Delerce
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Université, Microbes Evolution Phylogeny and Infections (MEPHI), 27 Boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 Rue Saint-Pierre, 13005 Marseille, France
| | - Pierre Pontarotti
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Department of Biological Sciences, Centre National de la Recherche Scientifique (CNRS)-SNC5039, Marseille, France
| | - Anthony Levasseur
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Université, Microbes Evolution Phylogeny and Infections (MEPHI), 27 Boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 Rue Saint-Pierre, 13005 Marseille, France
| | - Jacques Fantini
- "Aix-Marseille Université, INSERM UMR UA 16, Marseille, France
| | - Bernard La Scola
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Université, Microbes Evolution Phylogeny and Infections (MEPHI), 27 Boulevard Jean Moulin, 13005 Marseille, France; Assistance Publique-Hôpitaux de Marseille (AP-HM), 264 Rue Saint-Pierre, 13005 Marseille, France
| | - Christian Devaux
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Department of Biological Sciences, Centre National de la Recherche Scientifique (CNRS)-SNC5039, Marseille, France
| | - Didier Raoult
- IHU Méditerranée Infection, 19-21 Boulevard Jean Moulin, 13005 Marseille, France; Aix-Marseille Université, Microbes Evolution Phylogeny and Infections (MEPHI), 27 Boulevard Jean Moulin, 13005 Marseille, France.
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4
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Rogozin IB, Saura A, Poliakov E, Bykova A, Roche-Lima A, Pavlov YI, Yurchenko V. Properties and Mechanisms of Deletions, Insertions, and Substitutions in the Evolutionary History of SARS-CoV-2. Int J Mol Sci 2024; 25:3696. [PMID: 38612505 PMCID: PMC11011937 DOI: 10.3390/ijms25073696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 03/22/2024] [Accepted: 03/23/2024] [Indexed: 04/14/2024] Open
Abstract
SARS-CoV-2 has accumulated many mutations since its emergence in late 2019. Nucleotide substitutions leading to amino acid replacements constitute the primary material for natural selection. Insertions, deletions, and substitutions appear to be critical for coronavirus's macro- and microevolution. Understanding the molecular mechanisms of mutations in the mutational hotspots (positions, loci with recurrent mutations, and nucleotide context) is important for disentangling roles of mutagenesis and selection. In the SARS-CoV-2 genome, deletions and insertions are frequently associated with repetitive sequences, whereas C>U substitutions are often surrounded by nucleotides resembling the APOBEC mutable motifs. We describe various approaches to mutation spectra analyses, including the context features of RNAs that are likely to be involved in the generation of recurrent mutations. We also discuss the interplay between mutations and natural selection as a complex evolutionary trend. The substantial variability and complexity of pipelines for the reconstruction of mutations and the huge number of genomic sequences are major problems for the analyses of mutations in the SARS-CoV-2 genome. As a solution, we advocate for the development of a centralized database of predicted mutations, which needs to be updated on a regular basis.
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Affiliation(s)
- Igor B. Rogozin
- Life Science Research Centre, Faculty of Science, University of Ostrava, 710 00 Ostrava, Czech Republic
| | - Andreu Saura
- Life Science Research Centre, Faculty of Science, University of Ostrava, 710 00 Ostrava, Czech Republic
| | - Eugenia Poliakov
- National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Anastassia Bykova
- Life Science Research Centre, Faculty of Science, University of Ostrava, 710 00 Ostrava, Czech Republic
| | - Abiel Roche-Lima
- Center for Collaborative Research in Health Disparities—RCMI Program, Medical Sciences Campus, University of Puerto Rico, San Juan 00936, Puerto Rico
| | - Youri I. Pavlov
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Vyacheslav Yurchenko
- Life Science Research Centre, Faculty of Science, University of Ostrava, 710 00 Ostrava, Czech Republic
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5
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Colson P, Delerce J, Pontarotti P, Devaux C, La Scola B, Fantini J, Raoult D. Resistance-associated mutations to the anti-SARS-CoV-2 agent nirmatrelvir: Selection not induction. J Med Virol 2024; 96:e29462. [PMID: 38363015 DOI: 10.1002/jmv.29462] [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: 11/20/2023] [Revised: 01/21/2024] [Accepted: 01/27/2024] [Indexed: 02/17/2024]
Abstract
Mutations associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) resistance to antiprotease nirmatrelvir were reported. We aimed to detect them in SARS-CoV-2 genomes and quasispecies retrieved in our institute before drug availability in January 2022 and to analyze the impact of mutations on protease (3CLpro) structure. We sought for 38 3CLpro nirmatrelvir resistance mutations in a set of 62 673 SARS-CoV-2 genomes obtained in our institute from respiratory samples collected between 2020 and 2023 and for these mutations in SARS-CoV-2 quasispecies for 90 samples collected in 2020, using Python. SARS-CoV-2 protease with major mutation E166V was generated with Swiss Pdb Viewer and Molegro Molecular Viewer. We detected 22 (58%) of the resistance-associated mutations in 417 (0.67%) of the genomes analyzed; 325 (78%) of these genomes had been obtained from samples collected in 2020-2021. APOBEC signatures were found for 12/22 mutations. We also detected among viral quasispecies from 90 samples some minority reads harboring any of 15 nirmatrelvir resistance mutations, including E166V. Also, we predicted that E166V has a very limited effect on 3CLpro structure but may prevent drug attachment. Thus, we evidenced that mutations associated with nirmatrelvir resistance pre-existed in SARS-CoV-2 before drug availability. These findings further warrant SARS-CoV-2 genomic surveillance and SARS-CoV-2 quasispecies characterization.
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Affiliation(s)
- Philippe Colson
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, Marseille, France
- Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), 27 boulevard Jean Moulin, Marseille, France
- Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France
| | - Jérémy Delerce
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, Marseille, France
| | - Pierre Pontarotti
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, Marseille, France
- Department of Biological Sciences, Centre National de la Recherche 16 Scientifique (CNRS)-SNC5039, Marseille, France
| | | | - Bernard La Scola
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, Marseille, France
- Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), 27 boulevard Jean Moulin, Marseille, France
- Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France
| | - Jacques Fantini
- INSERM UMR_S 1072, Aix-Marseille Université, Marseille, France
| | - Didier Raoult
- IHU Méditerranée Infection, 19-21 boulevard Jean Moulin, Marseille, France
- Aix-Marseille Univ., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), 27 boulevard Jean Moulin, Marseille, France
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6
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Sievers BL, Cheng MTK, Csiba K, Meng B, Gupta RK. SARS-CoV-2 and innate immunity: the good, the bad, and the "goldilocks". Cell Mol Immunol 2024; 21:171-183. [PMID: 37985854 PMCID: PMC10805730 DOI: 10.1038/s41423-023-01104-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 11/01/2023] [Indexed: 11/22/2023] Open
Abstract
An ancient conflict between hosts and pathogens has driven the innate and adaptive arms of immunity. Knowledge about this interplay can not only help us identify biological mechanisms but also reveal pathogen vulnerabilities that can be leveraged therapeutically. The humoral response to SARS-CoV-2 infection has been the focus of intense research, and the role of the innate immune system has received significantly less attention. Here, we review current knowledge of the innate immune response to SARS-CoV-2 infection and the various means SARS-CoV-2 employs to evade innate defense systems. We also consider the role of innate immunity in SARS-CoV-2 vaccines and in the phenomenon of long COVID.
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Affiliation(s)
| | - Mark T K Cheng
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Kata Csiba
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Bo Meng
- Department of Medicine, University of Cambridge, Cambridge, UK.
- Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.
| | - Ravindra K Gupta
- Department of Medicine, University of Cambridge, Cambridge, UK.
- Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.
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7
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Mattiuz G, Di Giorgio S, Conticello SG. An elusive debate on the evidence for RNA editing in SARS-CoV-2. RNA Biol 2024; 21:1-2. [PMID: 38426405 PMCID: PMC10913694 DOI: 10.1080/15476286.2024.2321032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2024] [Indexed: 03/02/2024] Open
Affiliation(s)
- Giorgio Mattiuz
- Department of Experimental and Clinical Medicine, University of Florence, Firenze, Italy
| | - Salvatore Di Giorgio
- German Cancer Research Center (DKFZ) - Division of Immune Diversity, Foundation under Public Law, Heidelberg, Germany
| | - Silvestro G. Conticello
- Core Research Laboratory, ISPRO, Firenze, Italy
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
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8
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Zhang K, Chen F, Shen HY, Zhang PP, Gao H, Peng H, Luo YS, Cheng ZS. Regulatory variants of APOBEC3 genes potentially associate with COVID-19 severity in populations with African ancestry. Sci Rep 2023; 13:22435. [PMID: 38105291 PMCID: PMC10725877 DOI: 10.1038/s41598-023-49791-x] [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: 07/14/2023] [Accepted: 12/12/2023] [Indexed: 12/19/2023] Open
Abstract
Since November 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused the worldwide pandemic of the coronavirus disease 2019 (COVID-19), the impact of which is huge to the lives of world populations. Many studies suggested that such situation will continue due to the endless mutations in SARS-CoV-2 genome that result in complexity of the efforts for the control of SARS-CoV-2, since the special enrichment of nucleotide substitution C>U in SARS-CoV-2 sequences were discovered mainly due to the editing by human host factors APOBEC3 genes. The observation of SARS-CoV-2 variants Beta (B.1.351) and Omicron (B.1.1.529) firstly spreading in South Africa promoted us to hypothesize that genetic variants of APOBEC3 special in African populations may be attributed to the higher mutation rate of SARS-CoV-2 variants in Africa. Current study was conducted to search for functional variants of APOBEC3 genes associate with COVID-19 hospitalization in African population. By integrating data from the 1000 Genomes Project, Genotype-Tissue Expression (GTEx), and Host Genetics Initiative (HGI) of COVID-19, we identified potential functional SNPs close to APOBEC3 genes that are associated with COVID-19 hospitalization in African but not with other populations. Our study provides new insights on the potential contribution of APOBEC3 genes on the evolution of SARS-CoV-2 mutations in African population, but further replication is needed to confirm our results.
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Affiliation(s)
- Ke Zhang
- The Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, 561113, China
| | - Fang Chen
- The Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, 561113, China
| | - Hu-Yan Shen
- The Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, 561113, China
| | - Ping-Ping Zhang
- The Key and Characteristic Laboratory of Modern Pathogenicity Biology, School of Basic Medical Sciences, Guizhou Medical University, Guiyang, 561113, China
| | - Han Gao
- The Department of Emergency ICU, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China
| | - Hong Peng
- The Department of Emergency ICU, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China
| | - Yu-Si Luo
- The Department of Emergency ICU, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
- The Department of Emergency, Liupanshui Hospital of The Affiliated Hospital of Guizhou Medical University, Liupanshui, 553000, China.
| | - Zhong-Shan Cheng
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, 262 Danny Thomas Hospital, MS1122, Memphis, TN, 38105, USA.
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9
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Kim K, Shi AB, Kelley K, Chen XS. Unraveling the Enzyme-Substrate Properties for APOBEC3A-Mediated RNA Editing. J Mol Biol 2023; 435:168198. [PMID: 37442413 PMCID: PMC10528890 DOI: 10.1016/j.jmb.2023.168198] [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: 03/17/2023] [Revised: 06/29/2023] [Accepted: 07/05/2023] [Indexed: 07/15/2023]
Abstract
The APOBEC3 family of human cytidine deaminases is involved in various cellular processes, including the innate and acquired immune system, mostly through inducing C-to-U in single-stranded DNA and/or RNA mutations. Although recent studies have examined RNA editing by APOBEC3A (A3A), its intracellular target specificity are not fully characterized. To address this gap, we performed in-depth analysis of cellular RNA editing using our recently developed sensitive cell-based fluorescence assay. Our findings demonstrate that A3A and an A3A-loop1-containing APOBEC3B (A3B) chimera are capable of RNA editing. We observed that A3A prefers to edit specific RNA substrates which are not efficiently deaminated by other APOBEC members. The editing efficiency of A3A is influenced by the RNA sequence contexts and distinct stem-loop secondary structures. Based on the identified RNA specificity features, we predicted potential A3A-editing targets in the encoding region of cellular mRNAs and discovered novel RNA transcripts that are extensively edited by A3A. Furthermore, we found a trend of increased synonymous mutations at the sites for more efficient A3A-editing, indicating evolutionary adaptation to the higher editing rate by A3A. Our results shed light on the intracellular RNA editing properties of A3A and provide insights into new RNA targets and potential impact of A3A-mediated RNA editing.
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Affiliation(s)
- Kyumin Kim
- Molecular and Computational Biology Program, Departments of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA. https://twitter.com/KYUMINK1324
| | - Alan B Shi
- Molecular and Computational Biology Program, Departments of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
| | - Kori Kelley
- Molecular and Computational Biology Program, Departments of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
| | - Xiaojiang S Chen
- Molecular and Computational Biology Program, Departments of Biological Sciences, 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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10
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McBride DS, Garushyants SK, Franks J, Magee AF, Overend SH, Huey D, Williams AM, Faith SA, Kandeil A, Trifkovic S, Miller L, Jeevan T, Patel A, Nolting JM, Tonkovich MJ, Genders JT, Montoney AJ, Kasnyik K, Linder TJ, Bevins SN, Lenoch JB, Chandler JC, DeLiberto TJ, Koonin EV, Suchard MA, Lemey P, Webby RJ, Nelson MI, Bowman AS. Accelerated evolution of SARS-CoV-2 in free-ranging white-tailed deer. Nat Commun 2023; 14:5105. [PMID: 37640694 PMCID: PMC10462754 DOI: 10.1038/s41467-023-40706-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/07/2023] [Indexed: 08/31/2023] Open
Abstract
The zoonotic origin of the COVID-19 pandemic virus highlights the need to fill the vast gaps in our knowledge of SARS-CoV-2 ecology and evolution in non-human hosts. Here, we detected that SARS-CoV-2 was introduced from humans into white-tailed deer more than 30 times in Ohio, USA during November 2021-March 2022. Subsequently, deer-to-deer transmission persisted for 2-8 months, disseminating across hundreds of kilometers. Newly developed Bayesian phylogenetic methods quantified how SARS-CoV-2 evolution is not only three-times faster in white-tailed deer compared to the rate observed in humans but also driven by different mutational biases and selection pressures. The long-term effect of this accelerated evolutionary rate remains to be seen as no critical phenotypic changes were observed in our animal models using white-tailed deer origin viruses. Still, SARS-CoV-2 has transmitted in white-tailed deer populations for a relatively short duration, and the risk of future changes may have serious consequences for humans and livestock.
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Affiliation(s)
- Dillon S McBride
- Department of Veterinary Preventive Medicine, The Ohio State University College of Veterinary Medicine, Columbus, OH, USA
| | - Sofya K Garushyants
- Division of Intramural Research, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - John Franks
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Andrew F Magee
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Steven H Overend
- Department of Veterinary Preventive Medicine, The Ohio State University College of Veterinary Medicine, Columbus, OH, USA
| | - Devra Huey
- Department of Veterinary Preventive Medicine, The Ohio State University College of Veterinary Medicine, Columbus, OH, USA
| | - Amanda M Williams
- Infectious Diseases Institute, The Ohio State University, Columbus, OH, USA
| | - Seth A Faith
- Infectious Diseases Institute, The Ohio State University, Columbus, OH, USA
| | - Ahmed Kandeil
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, USA
- Center of Scientific Excellence for Influenza Viruses, National Research Centre, Giza, 12622, Egypt
| | - Sanja Trifkovic
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Lance Miller
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Trushar Jeevan
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, USA
| | | | - Jacqueline M Nolting
- Department of Veterinary Preventive Medicine, The Ohio State University College of Veterinary Medicine, Columbus, OH, USA
| | | | - J Tyler Genders
- U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Columbus, OH, USA
| | - Andrew J Montoney
- U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Columbus, OH, USA
| | - Kevin Kasnyik
- Columbus and Franklin County Metro Parks, Westerville, OH, USA
| | - Timothy J Linder
- U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Disease Program, Fort Collins, CO, USA
| | - Sarah N Bevins
- U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Disease Program, Fort Collins, CO, USA
| | - Julianna B Lenoch
- U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Disease Program, Fort Collins, CO, USA
| | - Jeffrey C Chandler
- U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Wildlife Disease Diagnostic Laboratory, Fort Collins, CO, USA
| | - Thomas J DeLiberto
- U.S. Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, CO, USA
| | - Eugene V Koonin
- Division of Intramural Research, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Marc A Suchard
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biomathematics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Philippe Lemey
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - Richard J Webby
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Martha I Nelson
- Division of Intramural Research, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
| | - Andrew S Bowman
- Department of Veterinary Preventive Medicine, The Ohio State University College of Veterinary Medicine, Columbus, OH, USA.
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11
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Wu X, Shan K, Zan F, Tang X, Qian Z, Lu J. Optimization and Deoptimization of Codons in SARS-CoV-2 and Related Implications for Vaccine Development. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2205445. [PMID: 37267926 PMCID: PMC10427376 DOI: 10.1002/advs.202205445] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 04/08/2023] [Indexed: 06/04/2023]
Abstract
The spread of coronavirus disease 2019 (COVID-19), caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2), has progressed into a global pandemic. To date, thousands of genetic variants have been identified among SARS-CoV-2 isolates collected from patients. Sequence analysis reveals that the codon adaptation index (CAI) values of viral sequences have decreased over time but with occasional fluctuations. Through evolution modeling, it is found that this phenomenon may result from the virus's mutation preference during transmission. Using dual-luciferase assays, it is further discovered that the deoptimization of codons in the viral sequence may weaken protein expression during virus evolution, indicating that codon usage may play an important role in virus fitness. Finally, given the importance of codon usage in protein expression and particularly for mRNA vaccines, it is designed several codon-optimized Omicron BA.2.12.1, BA.4/5, and XBB.1.5 spike mRNA vaccine candidates and experimentally validated their high levels of expression. This study highlights the importance of codon usage in virus evolution and provides guidelines for codon optimization in mRNA and DNA vaccine development.
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Affiliation(s)
- Xinkai Wu
- State Key Laboratory of Protein and Plant Gene ResearchCenter for BioinformaticsSchool of Life SciencesPeking UniversityBeijing100871China
| | - Ke‐jia Shan
- State Key Laboratory of Protein and Plant Gene ResearchCenter for BioinformaticsSchool of Life SciencesPeking UniversityBeijing100871China
| | - Fuwen Zan
- NHC Key Laboratory of Systems Biology of PathogensInstitute of Pathogen BiologyChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100176China
| | - Xiaolu Tang
- State Key Laboratory of Protein and Plant Gene ResearchCenter for BioinformaticsSchool of Life SciencesPeking UniversityBeijing100871China
| | - Zhaohui Qian
- NHC Key Laboratory of Systems Biology of PathogensInstitute of Pathogen BiologyChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100176China
| | - Jian Lu
- State Key Laboratory of Protein and Plant Gene ResearchCenter for BioinformaticsSchool of Life SciencesPeking UniversityBeijing100871China
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12
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Biancolella M, Colona VL, Luzzatto L, Watt JL, Mattiuz G, Conticello SG, Kaminski N, Mehrian-Shai R, Ko AI, Gonsalves GS, Vasiliou V, Novelli G, Reichardt JKV. COVID-19 annual update: a narrative review. Hum Genomics 2023; 17:68. [PMID: 37488607 PMCID: PMC10367267 DOI: 10.1186/s40246-023-00515-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 07/16/2023] [Indexed: 07/26/2023] Open
Abstract
Three and a half years after the pandemic outbreak, now that WHO has formally declared that the emergency is over, COVID-19 is still a significant global issue. Here, we focus on recent developments in genetic and genomic research on COVID-19, and we give an outlook on state-of-the-art therapeutical approaches, as the pandemic is gradually transitioning to an endemic situation. The sequencing and characterization of rare alleles in different populations has made it possible to identify numerous genes that affect either susceptibility to COVID-19 or the severity of the disease. These findings provide a beginning to new avenues and pan-ethnic therapeutic approaches, as well as to potential genetic screening protocols. The causative virus, SARS-CoV-2, is still in the spotlight, but novel threatening virus could appear anywhere at any time. Therefore, continued vigilance and further research is warranted. We also note emphatically that to prevent future pandemics and other world-wide health crises, it is imperative to capitalize on what we have learnt from COVID-19: specifically, regarding its origins, the world's response, and insufficient preparedness. This requires unprecedented international collaboration and timely data sharing for the coordination of effective response and the rapid implementation of containment measures.
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Affiliation(s)
| | - Vito Luigi Colona
- Department of Biomedicine and Prevention, School of Medicine and Surgery, Tor Vergata University of Rome, Via Montpellier 1, 00133, Rome, Italy
| | - Lucio Luzzatto
- Department of Haematology and Blood Transfusion, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- University of Florence, 50121, Florence, Italy
| | - Jessica Lee Watt
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Smithfield, QLD, 4878, Australia
| | | | - Silvestro G Conticello
- Core Research Laboratory, Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Florence, Italy
- Institute of Clinical Physiology - National Council of Research (IFC-CNR), 56124, Pisa, Italy
| | - Naftali Kaminski
- Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Ruty Mehrian-Shai
- Pediatric Hemato-Oncology, Edmond and Lilly Safra Children's Hospital, Sheba Medical Center, Tel Hashomer 2 Sheba Road, 52621, Ramat Gan, Israel
| | - Albert I Ko
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA
- Instituto Gonçalo MonizFundação Oswaldo Cruz, Salvador, Bahia, Brazil
| | - Gregg S Gonsalves
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Vasilis Vasiliou
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, USA
| | - Giuseppe Novelli
- Department of Biomedicine and Prevention, School of Medicine and Surgery, Tor Vergata University of Rome, Via Montpellier 1, 00133, Rome, Italy.
- IRCCS Neuromed, 86077, Pozzilli, IS, Italy.
- Department of Pharmacology, School of Medicine, University of Nevada, 89557, Reno, NV, USA.
| | - Juergen K V Reichardt
- Australian Institute of Tropical Health and Medicine, James Cook University, Smithfield, QLD, 4878, Australia
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13
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Sacchi A, Giannessi F, Sabatini A, Percario ZA, Affabris E. SARS-CoV-2 Evasion of the Interferon System: Can We Restore Its Effectiveness? Int J Mol Sci 2023; 24:ijms24119353. [PMID: 37298304 DOI: 10.3390/ijms24119353] [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: 03/31/2023] [Revised: 05/12/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Type I and III Interferons (IFNs) are the first lines of defense in microbial infections. They critically block early animal virus infection, replication, spread, and tropism to promote the adaptive immune response. Type I IFNs induce a systemic response that impacts nearly every cell in the host, while type III IFNs' susceptibility is restricted to anatomic barriers and selected immune cells. Both IFN types are critical cytokines for the antiviral response against epithelium-tropic viruses being effectors of innate immunity and regulators of the development of the adaptive immune response. Indeed, the innate antiviral immune response is essential to limit virus replication at the early stages of infection, thus reducing viral spread and pathogenesis. However, many animal viruses have evolved strategies to evade the antiviral immune response. The Coronaviridae are viruses with the largest genome among the RNA viruses. Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) caused the coronavirus disease 2019 (COVID-19) pandemic. The virus has evolved numerous strategies to contrast the IFN system immunity. We intend to describe the virus-mediated evasion of the IFN responses by going through the main phases: First, the molecular mechanisms involved; second, the role of the genetic background of IFN production during SARS-CoV-2 infection; and third, the potential novel approaches to contrast viral pathogenesis by restoring endogenous type I and III IFNs production and sensitivity at the sites of infection.
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Affiliation(s)
- Alessandra Sacchi
- Laboratory of Molecular Virology and Antimicrobial Immunity, Department of Science, Roma Tre University, 00146 Rome, Italy
| | - Flavia Giannessi
- Laboratory of Molecular Virology and Antimicrobial Immunity, Department of Science, Roma Tre University, 00146 Rome, Italy
| | - Andrea Sabatini
- Laboratory of Molecular Virology and Antimicrobial Immunity, Department of Science, Roma Tre University, 00146 Rome, Italy
| | - Zulema Antonia Percario
- Laboratory of Molecular Virology and Antimicrobial Immunity, Department of Science, Roma Tre University, 00146 Rome, Italy
| | - Elisabetta Affabris
- Laboratory of Molecular Virology and Antimicrobial Immunity, Department of Science, Roma Tre University, 00146 Rome, Italy
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14
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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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15
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De La Cruz-Montoya AH, Díaz Velásquez CE, Martínez-Gregorio H, Ruiz-De La Cruz M, Bustos-Arriaga J, Castro-Jiménez TK, Olguín-Hernández JE, Rodríguez-Sosa M, Terrazas-Valdes LI, Jiménez-Alvarez LA, Regino-Zamarripa NE, Ramírez-Martínez G, Cruz-Lagunas A, Peralta-Arrieta I, Armas-López L, Contreras-Garza BM, Palma-Cortés G, Cabello-Gutierrez C, Báez-Saldaña R, Zúñiga J, Ávila-Moreno F, Vaca-Paniagua F. Molecular transition of SARS-CoV-2 from critical patients during the first year of the COVID-19 pandemic in Mexico City. Front Cell Infect Microbiol 2023; 13:1155938. [PMID: 37260697 PMCID: PMC10227454 DOI: 10.3389/fcimb.2023.1155938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/02/2023] [Indexed: 06/02/2023] Open
Abstract
Background The SARS-CoV-2 virus has caused unprecedented mortality since its emergence in late 2019. The continuous evolution of the viral genome through the concerted action of mutational forces has produced distinct variants that became dominant, challenging human immunity and vaccine development. Aim and methods In this work, through an integrative genomic approach, we describe the molecular transition of SARS-CoV-2 by analyzing the viral whole genome sequences from 50 critical COVID-19 patients recruited during the first year of the pandemic in Mexico City. Results Our results revealed differential levels of the evolutionary forces across the genome and specific mutational processes that have shaped the first two epidemiological waves of the pandemic in Mexico. Through phylogenetic analyses, we observed a genomic transition in the circulating SARS-CoV-2 genomes from several lineages prevalent in the first wave to a dominance of the B.1.1.519 variant (defined by T478K, P681H, and T732A mutations in the spike protein) in the second wave. Conclusion This work contributes to a better understanding of the evolutionary dynamics and selective pressures that act at the genomic level, the prediction of more accurate variants of clinical significance, and a better comprehension of the molecular mechanisms driving the evolution of SARS-CoV-2 to improve vaccine and drug development.
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Affiliation(s)
- Aldo Hugo De La Cruz-Montoya
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Clara Estela Díaz Velásquez
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Héctor Martínez-Gregorio
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Miguel Ruiz-De La Cruz
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
- Departamento de Infectómica y Patogénesis Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Avenida Instituto Politécnico Nacional, Colonia San Pedro Zacatenco, Delegación Gustavo A. Madero, Ciudad de México, Mexico
| | - José Bustos-Arriaga
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Tannya Karen Castro-Jiménez
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Jonadab Efraín Olguín-Hernández
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
| | - Miriam Rodríguez-Sosa
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Luis Ignacio Terrazas-Valdes
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Luis Armando Jiménez-Alvarez
- Laboratorio de Inmunobiología y Genética y Departamento de Virología, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Nora Elemi Regino-Zamarripa
- Laboratorio de Inmunobiología y Genética y Departamento de Virología, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ciudad de México, Mexico
| | - Gustavo Ramírez-Martínez
- Laboratorio de Inmunobiología y Genética y Departamento de Virología, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Alfredo Cruz-Lagunas
- Laboratorio de Inmunobiología y Genética y Departamento de Virología, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Irlanda Peralta-Arrieta
- Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Leonel Armas-López
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | | | - Gabriel Palma-Cortés
- Department of Research in Virology and Mycology, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Carlos Cabello-Gutierrez
- Department of Research in Virology and Mycology, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Renata Báez-Saldaña
- Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Joaquín Zúñiga
- Laboratorio de Inmunobiología y Genética y Departamento de Virología, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ciudad de México, Mexico
- Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Federico Ávila-Moreno
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
- Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
- Laboratorio 12 de Enfermedades Pulmonares y Epigenómica del Cáncer, Unidad de Investigación en Biomedicina (UBIMED), Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Felipe Vaca-Paniagua
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
- Subdirección de Investigación Básica, Instituto Nacional de Cancerología, Ciudad de México, Mexico
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16
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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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