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Chattopadhyay P, Mehta P, Kanika, Mishra P, Chen Liu CS, Tarai B, Budhiraja S, Pandey R. RNA editing in host lncRNAs as potential modulator in SARS-CoV-2 variants-host immune response dynamics. iScience 2024; 27:109846. [PMID: 38770134 PMCID: PMC11103575 DOI: 10.1016/j.isci.2024.109846] [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: 02/06/2024] [Revised: 03/18/2024] [Accepted: 04/25/2024] [Indexed: 05/22/2024] Open
Abstract
Both host and viral RNA editing plays a crucial role in host's response to infection, yet our understanding of host RNA editing remains limited. In this study of in-house generated RNA sequencing (RNA-seq) data of 211 hospitalized COVID-19 patients with PreVOC, Delta, and Omicron variants, we observed a significant differential editing frequency and patterns in long non-coding RNAs (lncRNAs), with Delta group displaying lower RNA editing compared to PreVOC/Omicron patients. Notably, multiple transcripts of UGDH-AS1 and NEAT1 exhibited high editing frequencies. Expression of ADAR1/APOBEC3A/APOBEC3G and differential abundance of repeats were possible modulators of differential editing across patient groups. We observed a shift in crucial infection-related pathways wherein the pathways were downregulated in Delta compared to PreVOC and Omicron. Our genomics-based evidence suggests that lncRNA editing influences stability, miRNA binding, and expression of both lncRNA and target genes. Overall, the study highlights the role of lncRNAs and how editing within host lncRNAs modulates the disease severity.
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Affiliation(s)
- Partha Chattopadhyay
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Priyanka Mehta
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Kanika
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India
| | - Pallavi Mishra
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India
| | - Chinky Shiu Chen Liu
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India
| | - Bansidhar Tarai
- Max Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi 110017, India
| | - Sandeep Budhiraja
- Max Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi 110017, India
| | - Rajesh Pandey
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
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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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Davila KMS, Nelli RK, Mora-Díaz JC, Sang Y, Miller LC, Giménez-Lirola LG. Transcriptome Analysis in Air-Liquid Interface Porcine Respiratory Epithelial Cell Cultures Reveals That the Betacoronavirus Porcine Encephalomyelitis Hemagglutinating Virus Induces a Robust Interferon Response to Infection. Viruses 2024; 16:939. [PMID: 38932231 PMCID: PMC11209522 DOI: 10.3390/v16060939] [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: 05/18/2024] [Revised: 06/06/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024] Open
Abstract
Porcine hemagglutinating encephalomyelitis virus (PHEV) replicates in the upper respiratory tract and tonsils of pigs. Using an air-liquid interface porcine respiratory epithelial cells (ALI-PRECs) culture system, we demonstrated that PHEV disrupts respiratory epithelia homeostasis by impairing ciliary function and inducing antiviral, pro-inflammatory cytokine, and chemokine responses. This study explores the mechanisms driving early innate immune responses during PHEV infection through host transcriptome analysis. Total RNA was collected from ALI-PRECs at 24, 36, and 48 h post inoculation (hpi). RNA-seq analysis was performed using an Illumina Hiseq 600 to generate 100 bp paired-end reads. Differential gene expression was analyzed using DeSeq2. PHEV replicated actively in ALI-PRECs, causing cytopathic changes and progressive mucociliary disruption. Transcriptome analysis revealed downregulation of cilia-associated genes such as CILK1, DNAH11, LRRC-23, -49, and -51, and acidic sialomucin CD164L2. PHEV also activated antiviral signaling pathways, significantly increasing the expression of interferon-stimulated genes (RSAD2, MX1, IFIT, and ISG15) and chemokine genes (CCL5 and CXCL10), highlighting inflammatory regulation. This study contributes to elucidating the molecular mechanisms of the innate immune response to PHEV infection of the airway epithelium, emphasizing the critical roles of the mucociliary, interferon, and chemokine responses.
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Affiliation(s)
- Kaitlyn M. Sarlo Davila
- Infectious Bacterial Disease Research Unit, National Animal Disease Center, United States Department of Agriculture, Agricultural Research Service, Ames, IA 50010, USA;
| | - Rahul K. Nelli
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (R.K.N.); (J.C.M.-D.)
| | - Juan C. Mora-Díaz
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (R.K.N.); (J.C.M.-D.)
| | - Yongming Sang
- Department of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, Nashville, TN 37209, USA;
| | - Laura C. Miller
- Virus and Prion Research Unit, National Animal Disease Center, United States Department of Agriculture, Agricultural Research Service, Ames, IA 50010, USA
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA
| | - Luis G. Giménez-Lirola
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA; (R.K.N.); (J.C.M.-D.)
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Xiong D, Zhang X, Xu B, Shi M, Chen M, Dong Z, Zhong J, Gong R, Wu C, Li J, Wei H, Yu J. PHDtools: A platform for pathogen detection and multi-dimensional genetic signatures decoding to realize pathogen genomics data analyses online. Gene 2024; 909:148306. [PMID: 38408616 DOI: 10.1016/j.gene.2024.148306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/06/2024] [Accepted: 02/20/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVES Facing the emerging diseases, rapid identification of the pathogen and multi-dimensional characterization of the genomic features at both isolate-level and population-level through high-throughput sequencing data can provide invaluable information to guide the development of antiviral agents and strategies. However, a user-friendly program is in urgent need for clinical laboratories without bioinformatics background to decode the complex big genomics data. METHODS In this study, we developed an interactive online platform named PHDtools with a total of 15 functions to analyze metagenomics data to identify the potential pathogen and decode multi-dimensional genetic signatures including intra-/inter-host variations and lineage-level variations. The platform was applied to analyze the meta-genomic data of the samples collected from the 172 imported COVID-19 cases. RESULTS According to the analytical results of mNGS, 27 patients were found to have the co-infections of SARS-CoV-2 with either influenza virus (n = 9) or human picobirnavirus (n = 19). Enough coverages of all the assembled SARS-CoV-2 genomes provided the sub-lineages of Omicron variant, and the number of mutations in the non-structural genes and M gene was increased, as well as the intra-host variations occurred in E and M gene were under positive selection (Ka/Ks > 1). These findings of increased or changed mutations in the SARS-CoV-2 genome characterized the current adaptive evolution patterns of Omicron sub-lineages, and revealed the evolution speed of these sub-lineages might increase. CONCLUSIONS Consequently, the application of PHDtools has proved that this platform is accurate, user-friendly and convenient for clinical users who are deficient in bioinformatics, and the clinical monitor of SARS-CoV-2 genomes by PHDtools also highlighted the potential evolution features of current SARS-CoV-2 and indicated that the development of anti-SARS-CoV-2 agents and new-designed vaccines should incorporate the gene variations other than S gene.
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Affiliation(s)
- Dongyan Xiong
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong SAR, China; Department of Chemical Pathology, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China
| | - Xiaoxu Zhang
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Bohan Xu
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mengjuan Shi
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Min Chen
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhuo Dong
- Hubei International Travel Healthcare Center (Wuhan Customs Port Outpatient Department), Wuhan 430070, China
| | - Jie Zhong
- Hubei International Travel Healthcare Center (Wuhan Customs Port Outpatient Department), Wuhan 430070, China
| | - Rui Gong
- Hubei International Travel Healthcare Center (Wuhan Customs Port Outpatient Department), Wuhan 430070, China
| | - Chang Wu
- Hubei International Travel Healthcare Center (Wuhan Customs Port Outpatient Department), Wuhan 430070, China
| | - Ji Li
- Hubei International Travel Healthcare Center (Wuhan Customs Port Outpatient Department), Wuhan 430070, China
| | - Hongping Wei
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Junping Yu
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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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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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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Rudar J, Kruczkiewicz P, Vernygora O, Golding GB, Hajibabaei M, Lung O. Sequence signatures within the genome of SARS-CoV-2 can be used to predict host source. Microbiol Spectr 2024; 12:e0358423. [PMID: 38436242 PMCID: PMC10986507 DOI: 10.1128/spectrum.03584-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 02/11/2024] [Indexed: 03/05/2024] Open
Abstract
We conducted an in silico analysis to better understand the potential factors impacting host adaptation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in white-tailed deer, humans, and mink due to the strong evidence of sustained transmission within these hosts. Classification models trained on single nucleotide and amino acid differences between samples effectively identified white-tailed deer-, human-, and mink-derived SARS-CoV-2. For example, the balanced accuracy score of Extremely Randomized Trees classifiers was 0.984 ± 0.006. Eighty-eight commonly identified predictive mutations are found at sites under strong positive and negative selective pressure. A large fraction of sites under selection (86.9%) or identified by machine learning (87.1%) are found in genes other than the spike. Some locations encoded by these gene regions are predicted to be B- and T-cell epitopes or are implicated in modulating the immune response suggesting that host adaptation may involve the evasion of the host immune system, modulation of the class-I major-histocompatibility complex, and the diminished recognition of immune epitopes by CD8+ T cells. Our selection and machine learning analysis also identified that silent mutations, such as C7303T and C9430T, play an important role in discriminating deer-derived samples across multiple clades. Finally, our investigation into the origin of the B.1.641 lineage from white-tailed deer in Canada discovered an additional human sequence from Michigan related to the B.1.641 lineage sampled near the emergence of this lineage. These findings demonstrate that machine-learning approaches can be used in combination with evolutionary genomics to identify factors possibly involved in the cross-species transmission of viruses and the emergence of novel viral lineages.IMPORTANCESevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmissible virus capable of infecting and establishing itself in human and wildlife populations, such as white-tailed deer. This fact highlights the importance of developing novel ways to identify genetic factors that contribute to its spread and adaptation to new host species. This is especially important since these populations can serve as reservoirs that potentially facilitate the re-introduction of new variants into human populations. In this study, we apply machine learning and phylogenetic methods to uncover biomarkers of SARS-CoV-2 adaptation in mink and white-tailed deer. We find evidence demonstrating that both non-synonymous and silent mutations can be used to differentiate animal-derived sequences from human-derived ones and each other. This evidence also suggests that host adaptation involves the evasion of the immune system and the suppression of antigen presentation. Finally, the methods developed here are general and can be used to investigate host adaptation in viruses other than SARS-CoV-2.
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Affiliation(s)
- Josip Rudar
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, Manitoba, Canada
- Department of Integrative Biology & Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
| | - Peter Kruczkiewicz
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, Manitoba, Canada
| | - Oksana Vernygora
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, Manitoba, Canada
| | - G. Brian Golding
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
| | - Mehrdad Hajibabaei
- Department of Integrative Biology & Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
| | - Oliver Lung
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, Manitoba, Canada
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
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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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9
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Yang H, Pacheco J, Kim K, Ebrahimi D, Ito F, Chen XS. Molecular mechanism for regulating APOBEC3G DNA editing function by the non-catalytic domain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.11.584510. [PMID: 38559028 PMCID: PMC10980023 DOI: 10.1101/2024.03.11.584510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
APOBEC3G (A3G) belongs to the AID/APOBEC cytidine deaminase family and is essential for antiviral immunity. It contains two zinc-coordinated cytidine-deaminase (CD) domains. The N-terminal CD1 domain is non-catalytic but has a strong affinity for nucleic acids, whereas the C-terminal CD2 domain catalyzes C-to-U editing in single-stranded DNA. The interplay between the two domains in DNA binding and editing is not fully understood. Here, our studies on rhesus macaque A3G (rA3G) show that the DNA editing function in linear and hairpin loop DNA is greatly enhanced by AA or GA dinucleotide motifs present downstream (in the 3'-direction) but not upstream (in the 5'-direction) of the target-C editing sites. The effective distance between AA/GA and the target-C sites depends on the local DNA secondary structure. We present two co-crystal structures of rA3G bound to ssDNA containing AA and GA, revealing the contribution of the non-catalytic CD1 domain in capturing AA/GA DNA and explaining our biochemical observations. Our structural and biochemical findings elucidate the molecular mechanism underlying the cooperative function between the non-catalytic and the catalytic domains of A3G, which is critical for its antiviral role and its contribution to genome mutations in cancer.
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Affiliation(s)
- Hanjing Yang
- Molecular and Computational Biology, Departments of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
| | - Josue Pacheco
- Molecular and Computational Biology, Departments of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
| | - Kyumin Kim
- Molecular and Computational Biology, Departments of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
| | - Diako Ebrahimi
- Texas Biomedical Research Institute, San Antonio, TX 78227, USA
| | - Fumiaki Ito
- Molecular and Computational Biology, Departments of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
- Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA90095, USA
- California NanoSystems Institute, University of California, Los Angeles, CA90095, USA
| | - Xiaojiang S. Chen
- Molecular and Computational Biology, 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
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90089, USA
- Center of Excellence in NanoBiophysics, University of Southern California, Los Angeles, CA 90089, USA
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10
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Majchrzak M, Madej Ł, Łysek-Gładysińska M, Zarębska-Michaluk D, Zegadło K, Dziuba A, Nogal-Nowak K, Kondziołka W, Sufin I, Myszona-Tarnowska M, Jaśkowski M, Kędzierski M, Maciukajć J, Matykiewicz J, Głuszek S, Adamus-Białek W. The RdRp genotyping of SARS-CoV-2 isolated from patients with different clinical spectrum of COVID-19. BMC Infect Dis 2024; 24:281. [PMID: 38439047 PMCID: PMC10913261 DOI: 10.1186/s12879-024-09146-x] [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: 09/15/2023] [Accepted: 02/16/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND The evolution of SARS-CoV-2 has been observed from the very beginning of the fight against COVID-19, some mutations are indicators of potentially dangerous variants of the virus. However, there is no clear association between the genetic variants of SARS-CoV-2 and the severity of COVID-19. We aimed to analyze the genetic variability of RdRp in correlation with different courses of COVID-19. RESULTS The prospective study included 77 samples of SARS-CoV-2 isolated from outpatients (1st degree of severity) and hospitalized patients (2nd, 3rd and 4th degree of severity). The retrospective analyses included 15,898,266 cases of SARS-CoV-2 genome sequences deposited in the GISAID repository. Single-nucleotide variants were identified based on the four sequenced amplified fragments of SARS-CoV-2. The analysis of the results was performed using appropriate statistical methods, with p < 0.05, considered statistically significant. Additionally, logistic regression analysis was performed to predict the strongest determinants of the observed relationships. The number of mutations was positively correlated with the severity of the COVID-19, and older male patients. We detected four mutations that significantly increased the risk of hospitalization of COVID-19 patients (14676C > T, 14697C > T, 15096 T > C, and 15279C > T), while the 15240C > T mutation was common among strains isolated from outpatients. The selected mutations were searched worldwide in the GISAID database, their presence was correlated with the severity of COVID-19. CONCLUSION Identified mutations have the potential to be used to assess the increased risk of hospitalization in COVID-19 positive patients. Experimental studies and extensive epidemiological data are needed to investigate the association between individual mutations and the severity of COVID-19.
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Affiliation(s)
- Michał Majchrzak
- Institute of Medical Sciences, Jan Kochanowski University, Kielce, Poland
| | - Łukasz Madej
- Institute of Medical Sciences, Jan Kochanowski University, Kielce, Poland
| | | | | | - Katarzyna Zegadło
- Institute of Medical Sciences, Jan Kochanowski University, Kielce, Poland
| | - Anna Dziuba
- Institute of Medical Sciences, Jan Kochanowski University, Kielce, Poland
| | | | | | | | | | | | | | | | | | - Stanisław Głuszek
- Institute of Medical Sciences, Jan Kochanowski University, Kielce, Poland
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11
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Willett JDS, Gravel A, Dubuc I, Gudimard L, Dos Santos Pereira Andrade AC, Lacasse É, Fortin P, Liu JL, Cervantes JA, Galvez JH, Djambazian HHV, Zwaig M, Roy AM, Lee S, Chen SH, Ragoussis J, Flamand L. SARS-CoV-2 rapidly evolves lineage-specific phenotypic differences when passaged repeatedly in immune-naïve mice. Commun Biol 2024; 7:191. [PMID: 38365933 PMCID: PMC10873417 DOI: 10.1038/s42003-024-05878-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 02/01/2024] [Indexed: 02/18/2024] Open
Abstract
The persistence of SARS-CoV-2 despite the development of vaccines and a degree of herd immunity is partly due to viral evolution reducing vaccine and treatment efficacy. Serial infections of wild-type (WT) SARS-CoV-2 in Balb/c mice yield mouse-adapted strains with greater infectivity and mortality. We investigate if passaging unmodified B.1.351 (Beta) and B.1.617.2 (Delta) 20 times in K18-ACE2 mice, expressing the human ACE2 receptor, in a BSL-3 laboratory without selective pressures, drives human health-relevant evolution and if evolution is lineage-dependent. Late-passage virus causes more severe disease, at organism and lung tissue scales, with late-passage Delta demonstrating antibody resistance and interferon suppression. This resistance co-occurs with a de novo spike S371F mutation, linked with both traits. S371F, an Omicron-characteristic mutation, is co-inherited at times with spike E1182G per Nanopore sequencing, existing in different within-sample viral variants at others. Both S371F and E1182G are linked to mammalian GOLGA7 and ZDHHC5 interactions, which mediate viral-cell entry and antiviral response. This study demonstrates SARS-CoV-2's tendency to evolve with phenotypic consequences, its evolution varying by lineage, and suggests non-dominant quasi-species contribution.
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Affiliation(s)
- Julian Daniel Sunday Willett
- Quantitative Life Sciences Ph.D. Program, McGill University, Montreal, QC, Canada
- McGill Genome Centre, McGill University, Montreal, QC, Canada
- Lady Davis Institute, Jewish General Hospital, Montreal, QC, Canada
| | - Annie Gravel
- Axe maladies infectieuses et immunitaires, Centre de Recherche du Centre Hospitalier Universitaire de Québec- Université Laval, Québec, Canada
| | - Isabelle Dubuc
- Axe maladies infectieuses et immunitaires, Centre de Recherche du Centre Hospitalier Universitaire de Québec- Université Laval, Québec, Canada
| | - Leslie Gudimard
- Axe maladies infectieuses et immunitaires, Centre de Recherche du Centre Hospitalier Universitaire de Québec- Université Laval, Québec, Canada
| | | | - Émile Lacasse
- Axe maladies infectieuses et immunitaires, Centre de Recherche du Centre Hospitalier Universitaire de Québec- Université Laval, Québec, Canada
| | - Paul Fortin
- Axe maladies infectieuses et immunitaires, Centre de Recherche du Centre Hospitalier Universitaire de Québec- Université Laval, Québec, Canada
- Centre de Recherche ARThrite-Arthrite, Recherche et Traitements, Université Laval, Québec, QC, Canada
- Division of Rheumatology, Department of Medicine, CHU de Québec-Université Laval, Québec, QC, Canada
| | - Ju-Ling Liu
- McGill Genome Centre, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Jose Avila Cervantes
- McGill Genome Centre, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Jose Hector Galvez
- Canadian Centre for Computational Genomics, McGill University, Montreal, QC, Canada
| | - Haig Hugo Vrej Djambazian
- McGill Genome Centre, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Melissa Zwaig
- McGill Genome Centre, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Anne-Marie Roy
- McGill Genome Centre, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Sally Lee
- McGill Genome Centre, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Shu-Huang Chen
- McGill Genome Centre, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Jiannis Ragoussis
- McGill Genome Centre, McGill University, Montreal, QC, Canada.
- Department of Human Genetics, McGill University, Montreal, QC, Canada.
| | - Louis Flamand
- Axe maladies infectieuses et immunitaires, Centre de Recherche du Centre Hospitalier Universitaire de Québec- Université Laval, Québec, Canada.
- Département de microbiologie-infectiologie et d'immunologie, Université Laval, Québec, QC, Canada.
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12
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Munawar WASWA, Elias MH, Addnan FH, Hassandarvish P, AbuBakar S, Roslan N. Gene expression profiling of host lipid metabolism in SARS-CoV-2 infected patients: a systematic review and integrated bioinformatics analysis. BMC Infect Dis 2024; 24:124. [PMID: 38263024 PMCID: PMC10807267 DOI: 10.1186/s12879-024-08983-0] [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: 08/03/2023] [Accepted: 01/03/2024] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND The Coronavirus disease 2019 (COVID-19) pandemic occurred due to the dispersion of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Severe symptoms can be observed in COVID-19 patients with lipid-related comorbidities such as obesity and diabetes. Yet, the extensive molecular mechanisms of how SARS-CoV-2 causes dysregulation of lipid metabolism remain unknown. METHODS Here, an advanced search of articles was conducted using PubMed, Scopus, EBSCOhost, and Web of Science databases using terms from Medical Subject Heading (MeSH) like SARS-CoV-2, lipid metabolism and transcriptomic as the keywords. From 428 retrieved studies, only clinical studies using next-generation sequencing as a gene expression method in COVID-19 patients were accepted. Study design, study population, sample type, the method for gene expression and differentially expressed genes (DEGs) were extracted from the five included studies. The DEGs obtained from the studies were pooled and analyzed using the bioinformatics software package, DAVID, to determine the enriched pathways. The DEGs involved in lipid metabolic pathways were selected and further analyzed using STRING and Cytoscape through visualization by protein-protein interaction (PPI) network complex. RESULTS The analysis identified nine remarkable clusters from the PPI complex, where cluster 1 showed the highest molecular interaction score. Three potential candidate genes (PPARG, IFITM3 and APOBEC3G) were pointed out from the integrated bioinformatics analysis in this systematic review and were chosen due to their significant role in regulating lipid metabolism. These candidate genes were significantly involved in enriched lipid metabolic pathways, mainly in regulating lipid homeostasis affecting the pathogenicity of SARS-CoV-2, specifically in mechanisms of viral entry and viral replication in COVID-19 patients. CONCLUSIONS Taken together, our findings in this systematic review highlight the affected lipid-metabolic pathways along with the affected genes upon SARS-CoV-2 invasion, which could be a potential target for new therapeutic strategies study in the future.
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Grants
- FRGS/1/2021/SKK0/USIM/02/2; USIM/FRGS/FPSK/KPT/50321 Ministry of Higher Education, Malaysia
- FRGS/1/2021/SKK0/USIM/02/2; USIM/FRGS/FPSK/KPT/50321 Ministry of Higher Education, Malaysia
- FRGS/1/2021/SKK0/USIM/02/2; USIM/FRGS/FPSK/KPT/50321 Ministry of Higher Education, Malaysia
- FRGS/1/2021/SKK0/USIM/02/2; USIM/FRGS/FPSK/KPT/50321 Ministry of Higher Education, Malaysia
- FRGS/1/2021/SKK0/USIM/02/2; USIM/FRGS/FPSK/KPT/50321 Ministry of Higher Education, Malaysia
- FRGS/1/2021/SKK0/USIM/02/2; USIM/FRGS/FPSK/KPT/50321 Ministry of Higher Education, Malaysia
- PPPI/FPSK/0121/USIM/16121 USIM Internal Grant Scheme, USIM
- PPPI/FPSK/0121/USIM/16121 USIM Internal Grant Scheme, USIM
- PPPI/FPSK/0121/USIM/16121 USIM Internal Grant Scheme, USIM
- PPPI/FPSK/0121/USIM/16121 USIM Internal Grant Scheme, USIM
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Affiliation(s)
| | - Marjanu Hikmah Elias
- Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Nilai, Malaysia
| | - Faizul Helmi Addnan
- Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Nilai, Malaysia
| | - Pouya Hassandarvish
- Tropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia
| | - Sazaly AbuBakar
- Tropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia
| | - Nuruliza Roslan
- Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Nilai, Malaysia.
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13
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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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14
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Karousis ED, Schubert K, Ban N. Coronavirus takeover of host cell translation and intracellular antiviral response: a molecular perspective. EMBO J 2024; 43:151-167. [PMID: 38200146 PMCID: PMC10897431 DOI: 10.1038/s44318-023-00019-8] [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: 06/01/2023] [Revised: 11/01/2023] [Accepted: 11/24/2023] [Indexed: 01/12/2024] Open
Abstract
Coronaviruses are a group of related RNA viruses that cause respiratory diseases in humans and animals. Understanding the mechanisms of translation regulation during coronaviral infections is critical for developing antiviral therapies and preventing viral spread. Translation of the viral single-stranded RNA genome in the host cell cytoplasm is an essential step in the life cycle of coronaviruses, which affects the cellular mRNA translation landscape in many ways. Here we discuss various viral strategies of translation control, including how members of the Betacoronavirus genus shut down host cell translation and suppress host innate immune functions, as well as the role of the viral non-structural protein 1 (Nsp1) in the process. We also outline the fate of viral RNA, considering stress response mechanisms triggered in infected cells, and describe how unique viral RNA features contribute to programmed ribosomal -1 frameshifting, RNA editing, and translation shutdown evasion.
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Affiliation(s)
- Evangelos D Karousis
- Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland
- Department of Chemistry and Biochemistry, University of Bern, Bern, Switzerland
| | - Katharina Schubert
- Department of Biology, Institute of Molecular Biology and Biophysics, ETH Zurich, Zurich, Switzerland
| | - Nenad Ban
- Department of Biology, Institute of Molecular Biology and Biophysics, ETH Zurich, Zurich, Switzerland.
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15
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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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16
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Wang S, Kim K, Gelvez N, Chung C, Gout JF, Fixman B, Vermulst M, Chen XS. Identification of RBM46 as a novel APOBEC1 cofactor for C-to-U RNA-editing activity. J Mol Biol 2023; 435:168333. [PMID: 38708190 PMCID: PMC11068304 DOI: 10.1016/j.jmb.2023.168333] [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] [Indexed: 05/07/2024]
Abstract
Cytidine (C) to Uridine (U) RNA editing is a post-transcription modification that is involved in diverse biological processes. APOBEC1 (A1) catalyzes the conversion of C-to-U in RNA, which is important in regulating cholesterol metabolism through its editing activity on ApoB mRNA. However, A1 requires a cofactor to form an "editosome" for RNA editing activity. A1CF and RBM47, both RNA-binding proteins, have been identified as cofactors that pair with A1 to form editosomes and edit ApoB mRNA and other cellular RNAs. SYNCRIP is another RNA-binding protein that has been reported as a potential regulator of A1, although it is not directly involved in A1 RNA editing activity. Here, we describe the identification and characterization of a novel cofactor, RBM46 (RNA-Binding-Motif-protein-46), that can facilitate A1 to perform C-to-U editing on ApoB mRNA. Additionally, using the low-error circular RNA sequencing technique, we identified novel cellular RNA targets for the A1/RBM46 editosome. Our findings provide further insight into the complex regulatory network of RNA editing and the potential new function of A1 with its cofactors.
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Affiliation(s)
- Shanshan Wang
- Molecular and Computational Biology Section, University of Southern California, Los Angeles, CA 90089, USA
| | - Kyumin Kim
- Molecular and Computational Biology Section, University of Southern California, Los Angeles, CA 90089, USA
| | - Nicolas Gelvez
- Molecular and Computational Biology Section, University of Southern California, Los Angeles, CA 90089, USA
| | - Claire Chung
- School of Gerontology, University of Southern California, Los Angeles, CA 90089, USA
| | - Jean-Francois Gout
- Department of Biological Sciences, Mississippi State University, Mississippi State, MS 39762, USA
| | - Benjamin Fixman
- Programs in Biomedical and Biological Sciences (PIBBS), Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Marc Vermulst
- School of Gerontology, 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
- Programs in Biomedical and Biological Sciences (PIBBS), Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
- Center of Excellence in NanoBiophysic, 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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17
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Lim FY, Kim SY, Kulkarni KN, Blazevic RL, Kimball LE, Lea HG, Haack AJ, Gower MS, Stevens-Ayers T, Starita LM, Boeckh M, Hyrien O, Schiffer JT, Theberge AB, Waghmare A. High-frequency home self-collection of capillary blood correlates IFI27 expression kinetics with SARS-CoV-2 viral clearance. J Clin Invest 2023; 133:e173715. [PMID: 38038134 PMCID: PMC10688975 DOI: 10.1172/jci173715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023] Open
Affiliation(s)
- Fang Yun Lim
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Department of Chemistry
| | - Soo-Young Kim
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Karisma N. Kulkarni
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Rachel L. Blazevic
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Louise E. Kimball
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | | | | | | | - Terry Stevens-Ayers
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | | | - Michael Boeckh
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Department of Medicine
| | - Ollivier Hyrien
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
| | - Joshua T. Schiffer
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Department of Medicine
| | | | - Alpana Waghmare
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
- Seattle Children’s Research Institute, Seattle, Washington, USA
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18
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Kurkowiak M, Fletcher S, Daniels A, Mozolewski P, Silvestris DA, Król E, Marek-Trzonkowska N, Hupp T, Tait-Burkard C. Differential RNA editing landscapes in host cell versus the SARS-CoV-2 genome. iScience 2023; 26:108031. [PMID: 37876814 PMCID: PMC10590966 DOI: 10.1016/j.isci.2023.108031] [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: 03/28/2023] [Revised: 08/09/2023] [Accepted: 09/21/2023] [Indexed: 10/26/2023] Open
Abstract
The SARS-CoV-2 pandemic was defined by the emergence of new variants formed through virus mutation originating from random errors not corrected by viral proofreading and/or the host antiviral response introducing mutations into the viral genome. While sequencing information hints at cellular RNA editing pathways playing a role in viral evolution, here, we use an in vitro human cell infection model to assess RNA mutation types in two SARS-CoV-2 strains representing the original and the alpha variants. The variants showed both different cellular responses and mutation patterns with alpha showing higher mutation frequency with most substitutions observed being C-U, indicating an important role for apolipoprotein B mRNA editing catalytic polypeptide-like editing. Knockdown of select APOBEC3s through RNAi increased virus production in the original virus, but not in alpha. Overall, these data suggest a deaminase-independent anti-viral function of APOBECs in SARS-CoV-2 while the C-U editing itself might function to enhance genetic diversity enabling evolutionary adaptation.
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Affiliation(s)
- Małgorzata Kurkowiak
- International Centre for Cancer Vaccine Science, University of Gdańsk, Gdańsk, Poland
| | - Sarah Fletcher
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, UK
| | - Alison Daniels
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, UK
- Infection Medicine, University of Edinburgh, Little France Crescent, UK
| | - Paweł Mozolewski
- International Centre for Cancer Vaccine Science, University of Gdańsk, Gdańsk, Poland
| | | | - Ewelina Król
- Department of Recombinant Vaccines, Intercollegiate Faculty of Biotechnology, University of Gdansk and Medical University of Gdansk, Gdansk, Poland
| | - Natalia Marek-Trzonkowska
- International Centre for Cancer Vaccine Science, University of Gdańsk, Gdańsk, Poland
- Laboratory of Immunoregulation and Cellular Therapies, Department of Family Medicine Medical University of Gdańsk, Gdańsk, Poland
| | - Ted Hupp
- International Centre for Cancer Vaccine Science, University of Gdańsk, Gdańsk, Poland
- Cell Signalling Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Christine Tait-Burkard
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, UK
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19
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Colson P, Bader W, Fantini J, Dudouet P, Levasseur A, Pontarotti P, Devaux C, Raoult D. From viral democratic genomes to viral wild bunch of quasispecies. J Med Virol 2023; 95:e29209. [PMID: 37937701 DOI: 10.1002/jmv.29209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/05/2023] [Accepted: 10/19/2023] [Indexed: 11/09/2023]
Abstract
The tremendous majority of RNA genomes from pathogenic viruses analyzed and deposited in databases are consensus or "democratic" genomes. They represent the genomes most frequently found in the clinical samples of patients but do not account for the huge genetic diversity of coexisting genomes, which is better described as quasispecies. A viral quasispecies is defined as the dynamic distribution of nonidentical but closely related mutants, variants, recombinant, or reassortant viral genomes. Viral quasispecies have collective behavior and dynamics and are the subject of internal interactions that comprise interference, complementation, or cooperation. In the setting of SARS-CoV-2 infection, intrahost SARS-CoV-2 genetic diversity was recently notably reported for immunocompromised, chronically infected patients, for patients treated with monoclonal antibodies targeting the viral spike protein, and for different body compartments of a single patient. A question that deserves attention is whether such diversity is generated postinfection from a clonal genome in response to selection pressure or is already present at the time of infection as a quasispecies. In the present review, we summarize the data supporting that hosts are infected by a "wild bunch" of viruses rather than by multiple virions sharing the same genome. Each virion in the "wild bunch" may have different virulence and tissue tropisms. As the number of viruses replicated during host infections is huge, a viral quasispecies at any time of infection is wide and is also influenced by host-specific selection pressure after infection, which accounts for the difficulty in deciphering and predicting the appearance of more fit variants and the evolution of epidemics of novel RNA viruses.
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Affiliation(s)
- Philippe Colson
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
- Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France
| | - Wahiba Bader
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
| | - Jacques Fantini
- INSERM UMR_S 1072, Aix-Marseille Université, Marseille, France
| | - Pierre Dudouet
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
| | - Anthony Levasseur
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
| | - Pierre Pontarotti
- IHU Méditerranée Infection, Marseille, France
- Department of Biological Sciences, Centre National de la Recherche 16 Scientifique (CNRS)-SNC5039, Marseille, France
| | - Christian Devaux
- IHU Méditerranée Infection, Marseille, France
- Department of Biological Sciences, Centre National de la Recherche 16 Scientifique (CNRS)-SNC5039, Marseille, France
| | - Didier Raoult
- IHU Méditerranée Infection, Marseille, France
- Aix-Marseille Université., Institut de Recherche pour le Développement (IRD), Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France
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20
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Zubković A, Gomes C, Parchure A, Cesarec M, Ferenčić A, Rokić F, Jakovac H, Whitford AL, Dochnal SA, Cliffe AR, Cuculić D, Gallo A, Vugrek O, Hackenberg M, Jurak I. HSV-1 miRNAs are post-transcriptionally edited in latently infected human ganglia. J Virol 2023; 97:e0073023. [PMID: 37712701 PMCID: PMC10617394 DOI: 10.1128/jvi.00730-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 07/10/2023] [Indexed: 09/16/2023] Open
Abstract
IMPORTANCE Herpes simplex virus 1 is an important human pathogen that has been intensively studied for many decades. Nevertheless, the molecular mechanisms regulating its establishment, maintenance, and reactivation from latency are poorly understood. Here, we show that HSV-1-encoded miR-H2 is post-transcriptionally edited in latently infected human tissues. Hyperediting of viral miRNAs increases the targeting potential of these miRNAs and may play an important role in regulating latency. We show that the edited miR-H2 can target ICP4, an essential viral protein. Interestingly, we found no evidence of hyperediting of its homolog, miR-H2, which is expressed by the closely related virus HSV-2. The discovery of post-translational modifications of viral miRNA in the latency phase suggests that these processes may also be important for other non-coding viral RNA in the latency phase, including the intron LAT, which in turn may be crucial for understanding the biology of this virus.
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Affiliation(s)
- Andreja Zubković
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
| | - Cristina Gomes
- Genetics Department and Biotechnology Institute, Biomedical Research Center (CIBM), University of Granada, Granada, Spain
| | - Adwait Parchure
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
| | - Mia Cesarec
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
| | - Antun Ferenčić
- Faculty of Medicine, University of Rijeka, Rijeka, Croatia
| | - Filip Rokić
- Laboratory for Advanced Genomics, Institute Ruđer Bošković, Zagreb, Croatia
| | - Hrvoje Jakovac
- Faculty of Medicine, University of Rijeka, Rijeka, Croatia
| | - Abigail L. Whitford
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia, Charlottesville, Virginia, USA
| | - Sara A. Dochnal
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia, Charlottesville, Virginia, USA
| | - Anna R. Cliffe
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia, Charlottesville, Virginia, USA
| | - Dražen Cuculić
- Faculty of Medicine, University of Rijeka, Rijeka, Croatia
| | - Angela Gallo
- Department of Onco-Haematology and Cell and Gene Therapy, Bambino Gesù Children Hospital, IRCCS, Rome, Italy
| | - Oliver Vugrek
- Laboratory for Advanced Genomics, Institute Ruđer Bošković, Zagreb, Croatia
| | - Michael Hackenberg
- Genetics Department and Biotechnology Institute, Biomedical Research Center (CIBM), University of Granada, Granada, Spain
| | - Igor Jurak
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
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21
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Li X, Zhang Y, Wang J, Han J, Shen T. Long-term dynamic shifts in genomic base content and evolutionary trajectories of SARS-CoV-2 variants. J Med Virol 2023; 95:e29128. [PMID: 37772482 DOI: 10.1002/jmv.29128] [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: 05/16/2023] [Revised: 08/30/2023] [Accepted: 09/15/2023] [Indexed: 09/30/2023]
Abstract
The rapid spread and remarkable mutations of SARS-CoV-2 variants, particularly Omicron, necessitate an understanding of their evolutionary characteristics. In this study, we analyzed representative high-quality whole-genome sequences of 2008 SARS-CoV-2 variants to explore long-term dynamic changes in genomic base (especially GC) content and variations during viral evolution. Our results demonstrated a highly negative correlation between GC content and variant emergence time (r = -0.765, p < 2.22e-16). Major gene partitions (S, N, ORF1ab) displayed similar trends. Omicron exhibited a significantly lower GC content than non-Omicron variants (p < 2.22e-16). Notably, we observed a robust negative correlation between C and T content (r = -0.778, p < 2.22e-16) and between G and A content (r = -0.773, p < 2.22e-16). Among all strains, Omicron showed the greatest base variation, with C->T mutations being the most frequent (median [interquartile range [IQR]]: 29 (27, 31), 37.67%), succeeded by G->A mutations (11 (9, 13), 14.63%). Over a 3-year span, an annual decline rate of 0.12% in SARS-CoV-2 GC content was observed and could become more pronounced in future emerging variants. These findings provided insights into the evolutionary trajectory of SARS-CoV-2, underscoring the significance of continuous genomic surveillance for effective prediction of and response to future variants.
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Affiliation(s)
- Xinjie Li
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University, Beijing, China
| | - Yuqi Zhang
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University, Beijing, China
| | - Jie Wang
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University, Beijing, China
| | - Jun Han
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China
| | - Tao Shen
- Department of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University, Beijing, China
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22
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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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23
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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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24
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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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25
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Xavier J, Alcantara LCJ, Fonseca V, Lima M, Castro E, Fritsch H, Oliveira C, Guimarães N, Adelino T, Evaristo M, Rodrigues ES, Santos EV, de La-Roque D, de Moraes L, Tosta S, Neto A, Rosewell A, Mendonça AF, Leite A, Vasconcelos A, Silva de Mello AL, Vasconcelos B, Montalbano CA, Zanluca C, Freitas C, de Albuquerque CFC, Duarte Dos Santos CN, Santos CS, Dos Santos CA, Gonçalves CCM, Teixeira D, Neto DFL, Cabral D, de Oliveira EC, Noia Maciel EL, Pereira FM, Iani F, de Carvalho FP, Andrade G, Bezerra G, de Castro Lichs GG, Pereira GC, Barroso H, Franz HCF, Ferreira H, Gomes I, Riediger IN, Rodrigues I, de Siqueira IC, Silva J, Rico JM, Lima J, Abrantes J, do Nascimento JPM, Wasserheit JN, Pastor J, de Magalhães JJF, Luz KG, Lima Neto LG, Frutuoso LCV, da Silva LB, Sena L, de Sousa LAF, Pereira LA, Demarchi L, Câmara MCB, Astete MG, Almiron M, Lima M, Umaki Zardin MCS, Presibella MM, Falcão MB, Gale M, Freire N, Marques N, de Moura NFO, Almeida Da Silva PE, Rabinowitz P, da Cunha RV, Trinta KS, do Carmo Said RF, Kato R, Stabeli R, de Jesus R, Hans Santos R, Kashima S, Slavov SN, Andrade T, Rocha T, Carneiro T, Nardy V, da Silva V, Carvalho WG, Van Voorhis WC, Araujo WN, de Filippis AMB, Giovanetti M. Increased interregional virus exchange and nucleotide diversity outline the expansion of chikungunya virus in Brazil. Nat Commun 2023; 14:4413. [PMID: 37479700 PMCID: PMC10362057 DOI: 10.1038/s41467-023-40099-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 07/12/2023] [Indexed: 07/23/2023] Open
Abstract
The emergence and reemergence of mosquito-borne diseases in Brazil such as yellow fever, zika, chikungunya, and dengue have had serious impacts on public health. Concerns have been raised due to the rapid dissemination of the chikungunya virus across the country since its first detection in 2014 in Northeast Brazil. In this work, we carried out on-site training activities in genomic surveillance in partnership with the National Network of Public Health Laboratories that have led to the generation of 422 chikungunya virus genomes from 12 Brazilian states over the past two years (2021-2022), a period that has seen more than 312 thousand chikungunya fever cases reported in the country. These genomes increased the amount of available data and allowed a more comprehensive characterization of the dispersal dynamics of the chikungunya virus East-Central-South-African lineage in Brazil. Tree branching patterns revealed the emergence and expansion of two distinct subclades. Phylogeographic analysis indicated that the northeast region has been the leading hub of virus spread towards other regions. Increased frequency of C > T transitions among the new genomes suggested that host restriction factors from the immune system such as ADAR and AID/APOBEC deaminases might be driving the genetic diversity of the chikungunya virus in Brazil.
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Affiliation(s)
- Joilson Xavier
- Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Luiz Carlos Junior Alcantara
- Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil.
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
| | - Vagner Fonseca
- Organização Pan-Americana da Saúde, Organização Mundial da Saúde, Brasília, Brazil
| | - Mauricio Lima
- Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil
- Laboratório Central de Saúde Pública de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, Brazil
| | - Emerson Castro
- Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil
- Laboratório Central de Saúde Pública de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, Brazil
| | - Hegger Fritsch
- Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Carla Oliveira
- Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Natalia Guimarães
- Laboratório Central de Saúde Pública de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, Brazil
| | - Talita Adelino
- Laboratório Central de Saúde Pública de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, Brazil
| | | | | | | | | | - Laise de Moraes
- Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - Stephane Tosta
- Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Adelino Neto
- Laboratório Central de Saúde Pública do Piaui, Piauí, Brazil
| | - Alexander Rosewell
- Organização Pan-Americana da Saúde, Organização Mundial da Saúde, Brasília, Brazil
| | | | - Anderson Leite
- Laboratório Central de Saúde Pública de Alagoas, Maceió, Brazil
| | | | | | | | | | - Camila Zanluca
- Instituto Carlos Chagas, Fundação Oswaldo Cruz, Curitiba, Brazil
| | - Carla Freitas
- Coordenação Geral dos Laboratórios de Saúde Pública, Ministério da Saúde, Brasília, Brazil
| | | | | | - Cleiton S Santos
- Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | | | | | - Dalane Teixeira
- Laboratório Central de Saúde Pública da Paraíba, João Pessoa, Brazil
| | - Daniel F L Neto
- Coordenação Geral dos Laboratórios de Saúde Pública, Ministério da Saúde, Brasília, Brazil
| | - Diego Cabral
- Laboratório Central de Saúde Pública de Pernambuco, Natal, Brazil
| | | | - Ethel L Noia Maciel
- Secretaria de Vigilância em Saúde e Ambiente, Ministério da Saúde, Brasília, Brazil
| | | | - Felipe Iani
- Laboratório Central de Saúde Pública de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, Brazil
| | | | | | - Gabriela Bezerra
- Laboratório Central de Saúde Pública de Sergipe, Aracaju, Brazil
| | | | - Glauco Carvalho Pereira
- Laboratório Central de Saúde Pública de Minas Gerais, Fundação Ezequiel Dias, Belo Horizonte, Brazil
| | - Haline Barroso
- Laboratório Central de Saúde Pública da Paraíba, João Pessoa, Brazil
| | | | - Hivylla Ferreira
- Laboratório Central de Saúde Pública do Maranhão, São Luís, Brazil
| | - Iago Gomes
- Laboratório Central de Saúde Pública do Rio Grande do Norte, Natal, Brazil
| | | | | | | | - Jacilane Silva
- Laboratório Central de Saúde Pública de Pernambuco, Natal, Brazil
| | | | - Jaqueline Lima
- Laboratório Central de Saúde Pública da Bahia, Salvador, Brazil
| | - Jayra Abrantes
- Laboratório Central de Saúde Pública do Rio Grande do Norte, Natal, Brazil
| | | | - Judith N Wasserheit
- Department of Global Health and Medicine, University of Washington, Washington, USA
| | - Julia Pastor
- Laboratório Central de Saúde Pública de Pernambuco, Natal, Brazil
| | - Jurandy J F de Magalhães
- Laboratório Central de Saúde Pública de Pernambuco, Natal, Brazil
- Universidade de Pernambuco, Serra Talhada, Brazil
| | | | | | - Livia C V Frutuoso
- Coordenação Geral das Arboviroses, Ministério da Saúde, Brasília, Brazil
| | | | - Ludmila Sena
- Laboratório Central de Saúde Pública de Sergipe, Aracaju, Brazil
| | | | | | - Luiz Demarchi
- Laboratório Central de Saúde Pública do Mato Grosso do Sul, Campo Grande, Brazil
| | - Magaly C B Câmara
- Laboratório Central de Saúde Pública do Rio Grande do Norte, Natal, Brazil
| | | | | | - Maricelia Lima
- Universidade Estadual de Feira de Santana, Feira de Santana, Brazil
| | | | | | - Melissa B Falcão
- Secretaria de Saúde de Feira de Santana, Feira de Santana, Brazil
| | - Michael Gale
- Department of Immunology, University of Washington, Washington, USA
| | - Naishe Freire
- Laboratório Central de Saúde Pública de Pernambuco, Natal, Brazil
| | - Nelson Marques
- Laboratório Central de Saúde Pública do Paraná, Paraná, Brazil
| | - Noely F O de Moura
- Coordenação Geral das Arboviroses, Ministério da Saúde, Brasília, Brazil
| | | | - Peter Rabinowitz
- Department of Environmental and Occupational Health Sciences, University of Washington, Washington, USA
| | - Rivaldo V da Cunha
- Fundação Oswaldo Cruz, Instituto de Tecnologia em Imunobiológicos, Rio de Janeiro, Brazil
| | - Karen S Trinta
- Fundação Oswaldo Cruz, Instituto de Tecnologia em Imunobiológicos, Rio de Janeiro, Brazil
| | | | - Rodrigo Kato
- Coordenação Geral dos Laboratórios de Saúde Pública, Ministério da Saúde, Brasília, Brazil
| | - Rodrigo Stabeli
- Organização Pan-Americana da Saúde, Organização Mundial da Saúde, Brasília, Brazil
| | - Ronaldo de Jesus
- Coordenação Geral dos Laboratórios de Saúde Pública, Ministério da Saúde, Brasília, Brazil
| | | | - Simone Kashima
- Fundação Hemocentro de Ribeirão Preto, Ribeirão Preto, Brazil
| | - Svetoslav N Slavov
- Fundação Hemocentro de Ribeirão Preto, Ribeirão Preto, Brazil
- Center for Research Development, CDC, Butantan Institute, São Paulo, Brazil
| | - Tamires Andrade
- Laboratório Central de Saúde Pública da Paraíba, João Pessoa, Brazil
| | - Themis Rocha
- Laboratório Central de Saúde Pública do Rio Grande do Norte, Natal, Brazil
| | - Thiago Carneiro
- Laboratório Central de Saúde Pública da Paraíba, João Pessoa, Brazil
| | - Vanessa Nardy
- Laboratório Central de Saúde Pública da Bahia, Salvador, Brazil
| | | | | | | | | | | | - Marta Giovanetti
- Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil.
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
- Sciences and Technologies for Sustainable Development and One Health, University of Campus Bio-Medico, Rome, Italy.
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Veenstra BT, Veenstra TD. Proteomic applications in identifying protein-protein interactions. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2023; 138:1-48. [PMID: 38220421 DOI: 10.1016/bs.apcsb.2023.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
There are many things that can be used to characterize a protein. Size, isoelectric point, hydrophobicity, structure (primary to quaternary), and subcellular location are just a few parameters that are used. The most important feature of a protein, however, is its function. While there are many experiments that can indicate a protein's role, identifying the molecules it interacts with is probably the most definitive way of determining its function. Owing to technology limitations, protein interactions have historically been identified on a one molecule per experiment basis. The advent of high throughput multiplexed proteomic technologies in the 1990s, however, made identifying hundreds and thousands of proteins interactions within single experiments feasible. These proteomic technologies have dramatically increased the rate at which protein-protein interactions (PPIs) are discovered. While the improvement in mass spectrometry technology was an early driving force in the rapid pace of identifying PPIs, advances in sample preparation and chromatography have recently been propelling the field. In this chapter, we will discuss the importance of identifying PPIs and describe current state-of-the-art technologies that demonstrate what is currently possible in this important area of biological research.
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Affiliation(s)
- Benjamin T Veenstra
- Department of Math and Sciences, Cedarville University, Cedarville, OH, United States
| | - Timothy D Veenstra
- School of Pharmacy, Cedarville University, Cedarville, OH, United States.
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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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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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29
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Markov PV, Ghafari M, Beer M, Lythgoe K, Simmonds P, Stilianakis NI, Katzourakis A. The evolution of SARS-CoV-2. Nat Rev Microbiol 2023; 21:361-379. [PMID: 37020110 DOI: 10.1038/s41579-023-00878-2] [Citation(s) in RCA: 234] [Impact Index Per Article: 234.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/01/2023] [Indexed: 04/07/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused millions of deaths and substantial morbidity worldwide. Intense scientific effort to understand the biology of SARS-CoV-2 has resulted in daunting numbers of genomic sequences. We witnessed evolutionary events that could mostly be inferred indirectly before, such as the emergence of variants with distinct phenotypes, for example transmissibility, severity and immune evasion. This Review explores the mechanisms that generate genetic variation in SARS-CoV-2, underlying the within-host and population-level processes that underpin these events. We examine the selective forces that likely drove the evolution of higher transmissibility and, in some cases, higher severity during the first year of the pandemic and the role of antigenic evolution during the second and third years, together with the implications of immune escape and reinfections, and the increasing evidence for and potential relevance of recombination. In order to understand how major lineages, such as variants of concern (VOCs), are generated, we contrast the evidence for the chronic infection model underlying the emergence of VOCs with the possibility of an animal reservoir playing a role in SARS-CoV-2 evolution, and conclude that the former is more likely. We evaluate uncertainties and outline scenarios for the possible future evolutionary trajectories of SARS-CoV-2.
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Affiliation(s)
- Peter V Markov
- European Commission, Joint Research Centre (JRC), Ispra, Italy.
- London School of Hygiene & Tropical Medicine, University of London, London, UK.
| | - Mahan Ghafari
- Big Data Institute, University of Oxford, Oxford, UK
| | - Martin Beer
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Insel Riems, Germany
| | | | - Peter Simmonds
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Nikolaos I Stilianakis
- European Commission, Joint Research Centre (JRC), Ispra, Italy
- Department of Biometry and Epidemiology, University of Erlangen-Nuremberg, Erlangen, Germany
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30
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Xavier J, Alcantara L, Fonseca V, Lima M, Castro E, Fritsch H, Oliveira C, Guimarães N, Adelino T, Evaristo M, Rodrigues ES, Santos EV, de La-Roque D, de Moraes L, Tosta S, Neto A, Rosewell A, Mendonça AF, Leite A, Vasconcelos A, Silva de Mello AL, Vasconcelos B, Montalbano CA, Zanluca C, Freitas C, de Albuquerque CFC, Duarte dos Santos CN, Santos CS, dos Santos CA, Maymone Gonçalves CC, Teixeira D, Neto DFL, Cabral D, de Oliveira EC, Noia Maciel EL, Pereira FM, Iani F, de Carvalho FP, Andrade G, Bezerra G, de Castro Lichs GG, Pereira GC, Barroso H, Ferreira Franz HC, Ferreira H, Gomes I, Riediger IN, Rodrigues I, de Siqueira IC, Silva J, Rico JM, Lima J, Abrantes J, do Nascimento JPM, Wasserheit JN, Pastor J, de Magalhães JJF, Luz KG, Lima Neto LG, Frutuoso LCV, da Silva LB, Sena L, de Sousa LAF, Pereira LA, Demarchi L, Câmara MCB, Astete MG, Almiron M, Lima M, Umaki Zardin MCS, Presibella MM, Falcão MB, Gale M, Freire N, Marques N, de Moura NFO, Almeida Da Silva PE, Rabinowitz P, da Cunha RV, Trinta KS, do Carmo Said RF, Kato R, Stabeli R, de Jesus R, Santos RH, Haddad SK, Slavov SN, Andrade T, Rocha T, Carneiro T, Nardy V, da Silva V, Carvalho WG, Van Voorhis WC, Araujo WN, de Filippis AM, Giovanetti M. Increased interregional virus exchange and nucleotide diversity outline the expansion of the chikungunya virus ECSA lineage in Brazil. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.28.23287733. [PMID: 37034611 PMCID: PMC10081416 DOI: 10.1101/2023.03.28.23287733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
The emergence and reemergence of mosquito-borne diseases in Brazil such as Yellow Fever, Zika, Chikungunya, and Dengue have had serious impacts on public health. Concerns have been raised due to the rapid dissemination of the chikungunya virus (CHIKV) across the country since its first detection in 2014 in Northeast Brazil. Faced with this scenario, on-site training activities in genomic surveillance carried out in partnership with the National Network of Public Health Laboratories have led to the generation of 422 CHIKV genomes from 12 Brazilian states over the past two years (2021-2022), a period that has seen more than 312 thousand chikungunya fever cases reported in the country. These new genomes increased the amount of available data and allowed a more comprehensive characterization of the dispersion dynamics of the CHIKV East-Central-South-African (ECSA) lineage in Brazil. Tree branching patterns revealed the emergence and expansion of two distinct subclades. Phylogeographic analysis indicated that the northeast region has been the leading hub of virus spread towards other regions. Increased frequency of C>T transitions among the new genomes suggested that host restriction factors from the immune system such as ADAR and AID/APOBEC deaminases might be driving CHIKV ECSA lineage genetic diversity in Brazil.
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Affiliation(s)
- Joilson Xavier
- Instituto Rene Rachou, Fundação Oswaldo Cruz, Minas Gerais, Brazil
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Brazil
| | - Luiz Alcantara
- Instituto Rene Rachou, Fundação Oswaldo Cruz, Minas Gerais, Brazil
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Brazil
- Correspondence: , &
| | - Vagner Fonseca
- Organização Pan-Americana da Saúde, Organização Mundial da Saúde, Brazil
| | - Mauricio Lima
- Instituto Rene Rachou, Fundação Oswaldo Cruz, Minas Gerais, Brazil
- Laboratório Central de Saúde Pública de Minas Gerais, Fundação Ezequiel Dias, Brazil
| | - Emerson Castro
- Instituto Rene Rachou, Fundação Oswaldo Cruz, Minas Gerais, Brazil
- Laboratório Central de Saúde Pública de Minas Gerais, Fundação Ezequiel Dias, Brazil
| | - Hegger Fritsch
- Instituto Rene Rachou, Fundação Oswaldo Cruz, Minas Gerais, Brazil
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Brazil
| | - Carla Oliveira
- Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Natalia Guimarães
- Laboratório Central de Saúde Pública de Minas Gerais, Fundação Ezequiel Dias, Brazil
| | - Talita Adelino
- Laboratório Central de Saúde Pública de Minas Gerais, Fundação Ezequiel Dias, Brazil
| | | | | | | | | | - Laise de Moraes
- Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Bahia, Brazil
| | - Stephane Tosta
- Instituto Rene Rachou, Fundação Oswaldo Cruz, Minas Gerais, Brazil
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Brazil
| | - Adelino Neto
- Laboratório Central de Saúde Pública do Piaui, Brazil
| | - Alexander Rosewell
- Organização Pan-Americana da Saúde, Organização Mundial da Saúde, Brazil
| | | | | | | | | | | | | | - Camila Zanluca
- Instituto Carlos Chagas, Fundação Oswaldo Cruz, Paraná, Brazil
| | - Carla Freitas
- Coordenação Geral dos Laboratórios de Saúde Pública, Ministério da Saúde, Brazil
| | | | | | | | | | | | | | - Daniel F. L. Neto
- Coordenação Geral dos Laboratórios de Saúde Pública, Ministério da Saúde, Brazil
| | - Diego Cabral
- Laboratório Central de Saúde Pública de Pernambuco, Brazil
| | | | | | | | - Felipe Iani
- Laboratório Central de Saúde Pública de Minas Gerais, Fundação Ezequiel Dias, Brazil
| | | | | | | | | | | | | | | | | | - Iago Gomes
- Laboratório Central de Saúde Pública do Rio Grande do Norte, Brazil
| | | | | | | | - Jacilane Silva
- Laboratório Central de Saúde Pública de Pernambuco, Brazil
| | | | | | - Jayra Abrantes
- Laboratório Central de Saúde Pública do Rio Grande do Norte, Brazil
| | | | | | - Julia Pastor
- Laboratório Central de Saúde Pública de Pernambuco, Brazil
| | - Jurandy J. F. de Magalhães
- Laboratório Central de Saúde Pública de Pernambuco, Brazil
- Universidade de Pernambuco Campus Serra Talhada
| | | | | | | | | | - Ludmila Sena
- Laboratório Central de Saúde Pública de Sergipe, Brazil
| | | | | | - Luiz Demarchi
- Laboratório Central de Saúde Pública do Mato Grosso do Sul, Brazil
| | | | | | | | | | | | | | - Melissa B. Falcão
- Secretaria de Saúde de Feira de Santana, Feira de Santana, Bahia, Brazil
| | - Michael Gale
- Department of Immunology, University of Washington, USA
| | - Naishe Freire
- Laboratório Central de Saúde Pública de Pernambuco, Brazil
| | | | | | | | - Peter Rabinowitz
- Department of Environmental and Occupational Health Sciences, University of Washington, USA
| | | | - Karen S. Trinta
- Fundação Oswaldo Cruz, Instituto de Tecnologia em Imunobiológicos, Brazil
| | | | - Rodrigo Kato
- Coordenação Geral dos Laboratórios de Saúde Pública, Ministério da Saúde, Brazil
| | - Rodrigo Stabeli
- Organização Pan-Americana da Saúde, Organização Mundial da Saúde, Brazil
| | - Ronaldo de Jesus
- Coordenação Geral dos Laboratórios de Saúde Pública, Ministério da Saúde, Brazil
| | | | | | - Svetoslav N. Slavov
- Fundação Hemocentro de Ribeirão Preto, Brazil
- Center for Research Development, CDC, Butantan Institute, Brazil
| | | | - Themis Rocha
- Laboratório Central de Saúde Pública do Rio Grande do Norte, Brazil
| | | | - Vanessa Nardy
- Laboratório Central de Saúde Pública da Bahia, Brazil
| | | | | | | | | | - Ana M.B. de Filippis
- Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
- Correspondence: , &
| | - Marta Giovanetti
- Instituto Rene Rachou, Fundação Oswaldo Cruz, Minas Gerais, Brazil
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Brazil
- Sciences and Technologies for Sustainable Development and One Health, University of Campus Bio-Medico, Italy
- Correspondence: , &
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31
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Nakata Y, Ode H, Kubota M, Kasahara T, Matsuoka K, Sugimoto A, Imahashi M, Yokomaku Y, Iwatani Y. Cellular APOBEC3A deaminase drives mutations in the SARS-CoV-2 genome. Nucleic Acids Res 2023; 51:783-795. [PMID: 36610792 PMCID: PMC9881129 DOI: 10.1093/nar/gkac1238] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/07/2022] [Accepted: 12/13/2022] [Indexed: 01/09/2023] Open
Abstract
The number of genetic variations in the SARS-CoV-2 genome has been increasing primarily due to continuous viral mutations. Here, we report that the human APOBEC3A (A3A) cytidine deaminase plays a critical role in the induction of C-to-U substitutions in the SARS-CoV-2 genome. Bioinformatic analysis of the chronological genetic changes in a sequence database indicated that the largest UC-to-UU mutation signature, consistent with APOBEC-recognized nucleotide motifs, was predominant in single-stranded RNA regions of the viral genome. In SARS-CoV-2-infected cells, exogenous expression of A3A but not expression of other APOBEC proteins induced UC-to-UU mutations in viral RNA (vRNA). Additionally, the mutated C bases were often located at the tips in bulge or loop regions in the vRNA secondary structure. Interestingly, A3A mRNA expression was drastically increased by interferons (IFNs) and tumour necrosis factor-α (TNF-α) in epithelial cells derived from the respiratory system, a site of efficient SARS-CoV-2 replication. Moreover, the UC-to-UU mutation rate was increased in SARS-CoV-2 produced from lung epithelial cells treated with IFN-ß and TNF-α, but not from CRISPR/Cas9-based A3A knockout cells. Collectively, these findings demonstrate that A3A is a primary host factor that drives mutations in the SARS-CoV-2 RNA genome via RNA editing.
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Affiliation(s)
- Yoshihiro Nakata
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi 460-0001, Japan,Department of AIDS Research, Division of Basic Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Hirotaka Ode
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi 460-0001, Japan
| | - Mai Kubota
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi 460-0001, Japan
| | - Takaaki Kasahara
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi 460-0001, Japan,Department of Respiratory Medicine, Division of Internal Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Kazuhiro Matsuoka
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi 460-0001, Japan
| | - Atsuko Sugimoto
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi 460-0001, Japan
| | - Mayumi Imahashi
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi 460-0001, Japan
| | - Yoshiyuki Yokomaku
- Clinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi 460-0001, Japan
| | - Yasumasa Iwatani
- To whom correspondence should be addressed. Tel: +81 52 951 1111; Fax: +81 52 963 3970;
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32
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Abstract
Anelloviruses are the most common viruses infecting humans. Every human carries a nonpathogenic personal anellovirus virome (anellome), yet it is unknown which mechanisms contribute to its stability. Here, we assessed the dynamics and impact of a host antiviral defense mechanism-cytidine deaminase activity leading to C to U editing in anelloviruses-on the stability of the anellome. We investigated anellome sequence data obtained from serum samples collected every 6 months from two healthy subjects followed for more than 30 years. The subjects were infected by a total of 64 anellovirus lineages. Minus-stranded C to U editing was observed in lineages belonging to the Alpha-, Beta-, and Gammatorquevirus genera. The edited genomes were present within virus particles, therefore editing must have occurred at the late stages of the virus life cycle. Editing was favored by 5'-TC contexts in the virus genome, indicating that apolipoprotein B mRNA-editing enzyme, catalytic polypeptide-like, catalytic subunit 3 or A3 (APOBEC3) proteins are involved. Within a lineage, mutational dynamics varied over time and few fixations of mutations were detected, indicating that C to U editing is a dead end for a virus genome. We detected an editing coldspot in the GC-rich regions, suggesting that the GC-rich region is crucial for genome packaging, since only packaged virus particles were included in the analysis. Finally, we noticed a lineage-specific reduced concentration after an editing event, yet no clearance. In conclusion, cytidine deaminase activity does not clear anelloviruses, nor does it play a major role in virus evolution, but it does contribute to the stability of the anellome. IMPORTANCE Despite significant attention on anellovirus research, the interaction between the anellovirus virome and the human host remains unknown. We show the dynamics of APOBEC3-mediated cytidine deaminase activity on anelloviruses during a 30-year period of chronic infection and postulate that this antiviral mechanism controls anelloviruses. These results expand our knowledge of anellovirus-host interactions, which may be important for the design of gene therapies.
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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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