1
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Schäfer A, Marzi A, Furuyama W, Catanzaro NJ, Nguyen C, Haddock E, Feldmann F, Meade-White K, Thomas T, Hubbard ML, Gully KL, Leist SR, Hock P, Bell TA, De la Cruz GE, Midkiff BR, Martinez DR, Shaw GD, Miller DR, Vernon MJ, Graham RL, Cowley DO, Montgomery SA, Schughart K, de Villena FPM, Wilkerson GK, Ferris MT, Feldmann H, Baric RS. Mapping of susceptibility loci for Ebola virus pathogenesis in mice. Cell Rep 2024; 43:114127. [PMID: 38652660 DOI: 10.1016/j.celrep.2024.114127] [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: 04/11/2023] [Revised: 03/11/2024] [Accepted: 04/03/2024] [Indexed: 04/25/2024] Open
Abstract
Ebola virus (EBOV), a major global health concern, causes severe, often fatal EBOV disease (EVD) in humans. Host genetic variation plays a critical role, yet the identity of host susceptibility loci in mammals remains unknown. Using genetic reference populations, we generate an F2 mapping cohort to identify host susceptibility loci that regulate EVD. While disease-resistant mice display minimal pathogenesis, susceptible mice display severe liver pathology consistent with EVD-like disease and transcriptional signatures associated with inflammatory and liver metabolic processes. A significant quantitative trait locus (QTL) for virus RNA load in blood is identified in chromosome (chr)8, and a severe clinical disease and mortality QTL is mapped to chr7, which includes the Trim5 locus. Using knockout mice, we validate the Trim5 locus as one potential driver of liver failure and mortality after infection. The identification of susceptibility loci provides insight into molecular genetic mechanisms regulating EVD progression and severity, potentially informing therapeutics and vaccination strategies.
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Affiliation(s)
- Alexandra Schäfer
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA.
| | - Andrea Marzi
- Laboratory of Virology, Division of Intramural Research, NIAID, NIH, Hamilton, MT 59840, USA.
| | - Wakako Furuyama
- Laboratory of Virology, Division of Intramural Research, NIAID, NIH, Hamilton, MT 59840, USA
| | - Nicholas J Catanzaro
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Cameron Nguyen
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Elaine Haddock
- Laboratory of Virology, Division of Intramural Research, NIAID, NIH, Hamilton, MT 59840, USA
| | - Friederike Feldmann
- Rocky Mountain Veterinary Branch, Division of Intramural Research, NIAID, NIH, Hamilton, MT 59840, USA
| | - Kimberly Meade-White
- Laboratory of Virology, Division of Intramural Research, NIAID, NIH, Hamilton, MT 59840, USA
| | - Tina Thomas
- Rocky Mountain Veterinary Branch, Division of Intramural Research, NIAID, NIH, Hamilton, MT 59840, USA
| | - Miranda L Hubbard
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Kendra L Gully
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Sarah R Leist
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Pablo Hock
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Timothy A Bell
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Gabriela E De la Cruz
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Bentley R Midkiff
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - David R Martinez
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Ginger D Shaw
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Darla R Miller
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Michael J Vernon
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Rachel L Graham
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Dale O Cowley
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; Animal Models Core Facility, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Stephanie A Montgomery
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Klaus Schughart
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA; Institute of Virology, University of Muenster, 48149 Muenster, Germany
| | - Fernando Pardo Manuel de Villena
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Gregory K Wilkerson
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Martin T Ferris
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Heinz Feldmann
- Laboratory of Virology, Division of Intramural Research, NIAID, NIH, Hamilton, MT 59840, USA
| | - Ralph S Baric
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA.
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2
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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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3
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Favretti M. Entropic Dynamics of Mutations in SARS-CoV-2 Genomic Sequences. ENTROPY (BASEL, SWITZERLAND) 2024; 26:163. [PMID: 38392418 PMCID: PMC10887836 DOI: 10.3390/e26020163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 02/08/2024] [Accepted: 02/12/2024] [Indexed: 02/24/2024]
Abstract
In this paper, we investigate a certain class of mutations in genomic sequences by studying the evolution of the entropy and relative entropy associated with the base frequencies of a given genomic sequence. Even if the method is, in principle, applicable to every sequence which varies randomly, the case of SARS-CoV-2 RNA genome is particularly interesting to analyze, due to the richness of the available sequence database containing more than a million sequences. Our model is able to track known features of the mutation dynamics like the Cytosine-Thymine bias, but also to reveal new features of the virus mutation dynamics. We show that these new findings can be studied using an approach that combines the mean field approximation of a Markov dynamics within a stochastic thermodynamics framework.
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Affiliation(s)
- Marco Favretti
- Dipartimento di Matematica "Tullio Levi-Civita", Università degli Studi di Padova, 35123 Padova, Italy
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4
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Sievers BL, Cheng MTK, Csiba K, Meng B, Gupta RK. SARS-CoV-2 and innate immunity: the good, the bad, and the "goldilocks". Cell Mol Immunol 2024; 21:171-183. [PMID: 37985854 PMCID: PMC10805730 DOI: 10.1038/s41423-023-01104-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 11/01/2023] [Indexed: 11/22/2023] Open
Abstract
An ancient conflict between hosts and pathogens has driven the innate and adaptive arms of immunity. Knowledge about this interplay can not only help us identify biological mechanisms but also reveal pathogen vulnerabilities that can be leveraged therapeutically. The humoral response to SARS-CoV-2 infection has been the focus of intense research, and the role of the innate immune system has received significantly less attention. Here, we review current knowledge of the innate immune response to SARS-CoV-2 infection and the various means SARS-CoV-2 employs to evade innate defense systems. We also consider the role of innate immunity in SARS-CoV-2 vaccines and in the phenomenon of long COVID.
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Affiliation(s)
| | - Mark T K Cheng
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Kata Csiba
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Bo Meng
- Department of Medicine, University of Cambridge, Cambridge, UK.
- Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.
| | - Ravindra K Gupta
- Department of Medicine, University of Cambridge, Cambridge, UK.
- Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.
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5
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Formentin M, Chignola R, Favretti M. Optimal entropic properties of SARS-CoV-2 RNA sequences. ROYAL SOCIETY OPEN SCIENCE 2024; 11:231369. [PMID: 38298394 PMCID: PMC10827432 DOI: 10.1098/rsos.231369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 01/02/2024] [Indexed: 02/02/2024]
Abstract
The reaction of the scientific community against the COVID-19 pandemic has generated a huge (approx. 106 entries) dataset of genome sequences collected worldwide and spanning a relatively short time window. These unprecedented conditions together with the certain identification of the reference viral genome sequence allow for an original statistical study of mutations in the virus genome. In this paper, we compute the Shannon entropy of every sequence in the dataset as well as the relative entropy and the mutual information between the reference sequence and the mutated ones. These functions, originally developed in information theory, measure the information content of a sequence and allows us to study the random character of mutation mechanism in terms of its entropy and information gain or loss. We show that this approach allows us to set in new format known features of the SARS-CoV-2 mutation mechanism like the CT bias, but also to discover new optimal entropic properties of the mutation process in the sense that the virus mutation mechanism track closely theoretically computable lower bounds for the entropy decrease and the information transfer.
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Affiliation(s)
- Marco Formentin
- Department of Mathematics Tullio Levi-Civita, University of Padova, via Trieste 63 35131 Padova, Italy
| | - Roberto Chignola
- Department of Biotechnology, University of Verona, Strada le Grazie 15-CV1, 37134 Verona, Italy
| | - Marco Favretti
- Department of Mathematics Tullio Levi-Civita, University of Padova, via Trieste 63 35131 Padova, Italy
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6
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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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7
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Lamb KD, Luka MM, Saathoff M, Orton RJ, Phan MVT, Cotten M, Yuan K, Robertson DL. Mutational signature dynamics indicate SARS-CoV-2's evolutionary capacity is driven by host antiviral molecules. PLoS Comput Biol 2024; 20:e1011795. [PMID: 38271457 PMCID: PMC10868779 DOI: 10.1371/journal.pcbi.1011795] [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: 07/12/2023] [Revised: 02/15/2024] [Accepted: 01/03/2024] [Indexed: 01/27/2024] Open
Abstract
The COVID-19 pandemic has been characterised by sequential variant-specific waves shaped by viral, individual human and population factors. SARS-CoV-2 variants are defined by their unique combinations of mutations and there has been a clear adaptation to more efficient human infection since the emergence of this new human coronavirus in late 2019. Here, we use machine learning models to identify shared signatures, i.e., common underlying mutational processes and link these to the subset of mutations that define the variants of concern (VOCs). First, we examined the global SARS-CoV-2 genomes and associated metadata to determine how viral properties and public health measures have influenced the magnitude of waves, as measured by the number of infection cases, in different geographic locations using regression models. This analysis showed that, as expected, both public health measures and virus properties were associated with the waves of regional SARS-CoV-2 reported infection numbers and this impact varies geographically. We attribute this to intrinsic differences such as vaccine coverage, testing and sequencing capacity and the effectiveness of government stringency. To assess underlying evolutionary change, we used non-negative matrix factorisation and observed three distinct mutational signatures, unique in their substitution patterns and exposures from the SARS-CoV-2 genomes. Signatures 1, 2 and 3 were biased to C→T, T→C/A→G and G→T point mutations. We hypothesise assignments of these mutational signatures to the host antiviral molecules APOBEC, ADAR and ROS respectively. We observe a shift amidst the pandemic in relative mutational signature activity from predominantly Signature 1 changes to an increasingly high proportion of changes consistent with Signature 2. This could represent changes in how the virus and the host immune response interact and indicates how SARS-CoV-2 may continue to generate variation in the future. Linkage of the detected mutational signatures to the VOC-defining amino acids substitutions indicates the majority of SARS-CoV-2's evolutionary capacity is likely to be associated with the action of host antiviral molecules rather than virus replication errors.
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Affiliation(s)
- Kieran D. Lamb
- Medical Research Council - University of Glasgow Centre for Virus Research, School of Infection and Immunity, Glasgow, Scotland, United Kingdom
- School of Computing Science, University of Glasgow, Glasgow, Scotland, United Kingdom
| | - Martha M. Luka
- Medical Research Council - University of Glasgow Centre for Virus Research, School of Infection and Immunity, Glasgow, Scotland, United Kingdom
- School of Computing Science, University of Glasgow, Glasgow, Scotland, United Kingdom
| | - Megan Saathoff
- Medical Research Council - University of Glasgow Centre for Virus Research, School of Infection and Immunity, Glasgow, Scotland, United Kingdom
| | - Richard J. Orton
- Medical Research Council - University of Glasgow Centre for Virus Research, School of Infection and Immunity, Glasgow, Scotland, United Kingdom
| | - My V. T. Phan
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
- College of Health Solutions, Arizona State University, Phoenix, Arizona, United States of America
| | - Matthew Cotten
- Medical Research Council - University of Glasgow Centre for Virus Research, School of Infection and Immunity, Glasgow, Scotland, United Kingdom
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda
- College of Health Solutions, Arizona State University, Phoenix, Arizona, United States of America
- Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, Arizona, United States of America
| | - Ke Yuan
- School of Computing Science, University of Glasgow, Glasgow, Scotland, United Kingdom
- School of Cancer Sciences, University of Glasgow, Glasgow, Scotland, United Kingdom
- Cancer Research UK Scotland Institute, Glasgow, Scotland, United Kingdom
| | - David L. Robertson
- Medical Research Council - University of Glasgow Centre for Virus Research, School of Infection and Immunity, Glasgow, Scotland, United Kingdom
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8
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Wang X, Chang Z, Zhao T, Zhong W, Shi J, Wang G, Xu X. The role of post-transcriptional regulation in SARS-CoV-2 infection and pathogenicity. Front Immunol 2023; 14:1256574. [PMID: 38035086 PMCID: PMC10684767 DOI: 10.3389/fimmu.2023.1256574] [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: 07/11/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
The COVID-19 pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus has had a significant impact on global social and economic stability. To combat this, researchers have turned to omics approaches, particularly epitranscriptomics, to limit infection and develop effective therapeutic strategies. Multi-omics can provide the host response dynamics during multiple disease phases to reveal the molecular and cellular landscapes. Epitranscriptomics focuses on the mechanisms of gene transcription in cells and tissues and the relationship between genetic material and epigenetic regulation. This review highlights the role of post-transcriptional regulation in SARS-CoV-2, which affect various processes such as virus infection, replication, immunogenicity, and pathogenicity. The review also explains the formation mechanism of post-transcriptional modifications and how they can be regulated to combat viral infection and pathogenicity.
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Affiliation(s)
| | | | | | | | | | - Guoqing Wang
- Key Laboratory of Pathobiology Ministry of Education, College of Basic Medical Sciences/China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
| | - Xuesong Xu
- Key Laboratory of Pathobiology Ministry of Education, College of Basic Medical Sciences/China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China
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9
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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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10
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Delamonica B, Davalos L, Larijani M, Anthony SJ, Liu J, MacCarthy T. Evolutionary potential of the monkeypox genome arising from interactions with human APOBEC3 enzymes. Virus Evol 2023; 9:vead047. [PMID: 37577211 PMCID: PMC10422979 DOI: 10.1093/ve/vead047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/27/2023] [Accepted: 07/26/2023] [Indexed: 08/15/2023] Open
Abstract
APOBEC3, an enzyme subfamily that plays a role in virus restriction by generating mutations at particular DNA motifs or mutational 'hotspots', can drive viral mutagenesis with host-specific preferential hotspot mutations contributing to pathogen variation. While previous analysis of viral genomes from the 2022 Mpox (formerly Monkeypox) disease outbreak has shown a high frequency of C>T mutations at TC motifs, suggesting recent mutations are human APOBEC3-mediated, how emerging monkeypox virus (MPXV) strains will evolve as a consequence of APOBEC3-mediated mutations remains unknown. By measuring hotspot under-representation, depletion at synonymous sites, and a combination of the two, we analyzed APOBEC3-driven evolution in human poxvirus genomes, finding varying hotspot under-representation patterns. While the native poxvirus molluscum contagiosum exhibits a signature consistent with extensive coevolution with human APOBEC3, including depletion of TC hotspots, variola virus shows an intermediate effect consistent with ongoing evolution at the time of eradication. MPXV, likely the result of recent zoonosis, showed many genes with more TC hotspots than expected by chance (over-representation) and fewer GC hotspots than expected (under-representation). These results suggest the MPXV genome: (1) may have evolved in a host with a particular APOBEC GC hotspot preference, (2) has inverted terminal repeat (ITR) regions-which may be exposed to APOBEC3 for longer during viral replication-and longer genes likely to evolve faster, and therefore (3) has a heightened potential for future human APOBEC3-meditated evolution as the virus spreads in the human population. Our predictions of MPXV mutational potential can both help guide future vaccine development and identification of putative drug targets and add urgency to the task of containing human Mpox disease transmission and uncovering the ecology of the virus in its reservoir host.
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Affiliation(s)
- Brenda Delamonica
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA
| | - Liliana Davalos
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794, USA
- Consortium for Inter-Disciplinary Environmental Research, Stony Brook University, Stony Brook, NY 11794, USA
| | - Mani Larijani
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
- Department of Pathology, Microbiology, and Immunology, University of California-Davis School of Veterinary Medicine, Davis, CA 95616, USA
| | - Simon J Anthony
- Department of Pathology, Microbiology, and Immunology, University of California-Davis School of Veterinary Medicine, Davis, CA 95616, USA
| | - Jia Liu
- Department of Microbiology and Immunology, University of Arkansas for Medical Sciences (UAMS), Little Rock, AR 72205, USA
| | - Thomas MacCarthy
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
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11
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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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12
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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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Delamonica B, Davalos L, Larijani M, Anthony SJ, Liu J, MacCarthy T. Evolutionary potential of the monkeypox genome arising from interactions with human APOBEC3 enzymes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.27.546779. [PMID: 37425914 PMCID: PMC10326987 DOI: 10.1101/2023.06.27.546779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
APOBEC3, an enzyme subfamily that plays a role in virus restriction by generating mutations at particular DNA motifs or mutational "hotspots," can drive viral mutagenesis with host-specific preferential hotspot mutations contributing to pathogen variation. While previous analysis of viral genomes from the 2022 Mpox (formerly Monkeypox) disease outbreak has shown a high frequency of C>T mutations at T C motifs, suggesting recent mutations are human APOBEC3-mediated, how emerging monkeypox virus (MPXV) strains will evolve as a consequence of APOBEC3-mediated mutations remains unknown. By measuring hotspot under-representation, depletion at synonymous sites, and a combination of the two, we analyzed APOBEC3-driven evolution in human poxvirus genomes, finding varying hotspot under-representation patterns. While the native poxvirus molluscum contagiosum exhibits a signature consistent with extensive coevolution with human APOBEC3, including depletion of T C hotspots, variola virus shows an intermediate effect consistent with ongoing evolution at the time of eradication. MPXV, likely the result of recent zoonosis, showed many genes with more T C hotspots than expected by chance (over-representation) and fewer G C hotspots than expected (under-representation). These results suggest the MPXV genome: 1) may have evolved in a host with a particular APOBEC G C hotspot preference, 2) has inverted terminal repeat (ITR) regions -which may be exposed to APOBEC3 for longer during viral replication- and longer genes likely to evolve faster, and therefore 3) has a heightened potential for future human APOBEC3-meditated evolution as the virus spreads in the human population. Our predictions of MPXV mutational potential can both help guide future vaccine development and identification of putative drug targets and add urgency to the task of containing human Mpox disease transmission and uncovering the ecology of the virus in its reservoir host.
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Affiliation(s)
- Brenda Delamonica
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Liliana Davalos
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, 11794, USA; Consortium for Inter-Disciplinary Environmental Research, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Mani Larijani
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, Canada; Program in Immunology and Infectious Diseases, Division of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Simon J Anthony
- Department of Pathology, Microbiology, and Immunology, University of California-Davis School of Veterinary Medicine, Davis, CA 95616, USA
| | - Jia Liu
- Department of Microbiology and Immunology, University of Arkansas for Medical Sciences (UAMS), Little Rock, AR, USA
| | - Thomas MacCarthy
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
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14
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Saldivar-Espinoza B, Garcia-Segura P, Novau-Ferré N, Macip G, Martínez R, Puigbò P, Cereto-Massagué A, Pujadas G, Garcia-Vallve S. The Mutational Landscape of SARS-CoV-2. Int J Mol Sci 2023; 24:ijms24109072. [PMID: 37240420 DOI: 10.3390/ijms24109072] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
Mutation research is crucial for detecting and treating SARS-CoV-2 and developing vaccines. Using over 5,300,000 sequences from SARS-CoV-2 genomes and custom Python programs, we analyzed the mutational landscape of SARS-CoV-2. Although almost every nucleotide in the SARS-CoV-2 genome has mutated at some time, the substantial differences in the frequency and regularity of mutations warrant further examination. C>U mutations are the most common. They are found in the largest number of variants, pangolin lineages, and countries, which indicates that they are a driving force behind the evolution of SARS-CoV-2. Not all SARS-CoV-2 genes have mutated in the same way. Fewer non-synonymous single nucleotide variations are found in genes that encode proteins with a critical role in virus replication than in genes with ancillary roles. Some genes, such as spike (S) and nucleocapsid (N), show more non-synonymous mutations than others. Although the prevalence of mutations in the target regions of COVID-19 diagnostic RT-qPCR tests is generally low, in some cases, such as for some primers that bind to the N gene, it is significant. Therefore, ongoing monitoring of SARS-CoV-2 mutations is crucial. The SARS-CoV-2 Mutation Portal provides access to a database of SARS-CoV-2 mutations.
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Affiliation(s)
- Bryan Saldivar-Espinoza
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Pol Garcia-Segura
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Nil Novau-Ferré
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Guillem Macip
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | | | - Pere Puigbò
- Department of Biology, University of Turku, 20500 Turku, Finland
- Department of Biochemistry and Biotechnology, Rovira i Virgili University, 43007 Tarragona, Spain
- Eurecat, Technology Centre of Catalonia, Unit of Nutrition and Health, 43204 Reus, Spain
| | - Adrià Cereto-Massagué
- EURECAT Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), 43204 Reus, Spain
| | - Gerard Pujadas
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
| | - Santiago Garcia-Vallve
- Departament de Bioquímica i Biotecnologia, Research Group in Cheminformatics & Nutrition, Campus de Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain
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15
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De La Cruz-Montoya AH, Díaz Velásquez CE, Martínez-Gregorio H, Ruiz-De La Cruz M, Bustos-Arriaga J, Castro-Jiménez TK, Olguín-Hernández JE, Rodríguez-Sosa M, Terrazas-Valdes LI, Jiménez-Alvarez LA, Regino-Zamarripa NE, Ramírez-Martínez G, Cruz-Lagunas A, Peralta-Arrieta I, Armas-López L, Contreras-Garza BM, Palma-Cortés G, Cabello-Gutierrez C, Báez-Saldaña R, Zúñiga J, Ávila-Moreno F, Vaca-Paniagua F. Molecular transition of SARS-CoV-2 from critical patients during the first year of the COVID-19 pandemic in Mexico City. Front Cell Infect Microbiol 2023; 13:1155938. [PMID: 37260697 PMCID: PMC10227454 DOI: 10.3389/fcimb.2023.1155938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/02/2023] [Indexed: 06/02/2023] Open
Abstract
Background The SARS-CoV-2 virus has caused unprecedented mortality since its emergence in late 2019. The continuous evolution of the viral genome through the concerted action of mutational forces has produced distinct variants that became dominant, challenging human immunity and vaccine development. Aim and methods In this work, through an integrative genomic approach, we describe the molecular transition of SARS-CoV-2 by analyzing the viral whole genome sequences from 50 critical COVID-19 patients recruited during the first year of the pandemic in Mexico City. Results Our results revealed differential levels of the evolutionary forces across the genome and specific mutational processes that have shaped the first two epidemiological waves of the pandemic in Mexico. Through phylogenetic analyses, we observed a genomic transition in the circulating SARS-CoV-2 genomes from several lineages prevalent in the first wave to a dominance of the B.1.1.519 variant (defined by T478K, P681H, and T732A mutations in the spike protein) in the second wave. Conclusion This work contributes to a better understanding of the evolutionary dynamics and selective pressures that act at the genomic level, the prediction of more accurate variants of clinical significance, and a better comprehension of the molecular mechanisms driving the evolution of SARS-CoV-2 to improve vaccine and drug development.
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Affiliation(s)
- Aldo Hugo De La Cruz-Montoya
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Clara Estela Díaz Velásquez
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Héctor Martínez-Gregorio
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Miguel Ruiz-De La Cruz
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
- Departamento de Infectómica y Patogénesis Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Avenida Instituto Politécnico Nacional, Colonia San Pedro Zacatenco, Delegación Gustavo A. Madero, Ciudad de México, Mexico
| | - José Bustos-Arriaga
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Tannya Karen Castro-Jiménez
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Jonadab Efraín Olguín-Hernández
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
| | - Miriam Rodríguez-Sosa
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Luis Ignacio Terrazas-Valdes
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Luis Armando Jiménez-Alvarez
- Laboratorio de Inmunobiología y Genética y Departamento de Virología, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Nora Elemi Regino-Zamarripa
- Laboratorio de Inmunobiología y Genética y Departamento de Virología, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ciudad de México, Mexico
| | - Gustavo Ramírez-Martínez
- Laboratorio de Inmunobiología y Genética y Departamento de Virología, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Alfredo Cruz-Lagunas
- Laboratorio de Inmunobiología y Genética y Departamento de Virología, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Irlanda Peralta-Arrieta
- Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Leonel Armas-López
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | | | - Gabriel Palma-Cortés
- Department of Research in Virology and Mycology, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Carlos Cabello-Gutierrez
- Department of Research in Virology and Mycology, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Renata Báez-Saldaña
- Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Joaquín Zúñiga
- Laboratorio de Inmunobiología y Genética y Departamento de Virología, Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ciudad de México, Mexico
- Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
| | - Federico Ávila-Moreno
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
- Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosio Villegas, Ciudad de México, Mexico
- Laboratorio 12 de Enfermedades Pulmonares y Epigenómica del Cáncer, Unidad de Investigación en Biomedicina (UBIMED), Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Felipe Vaca-Paniagua
- Laboratorio Nacional en Salud, Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Tlalnepantla, Mexico
- Unidad de Investigación en Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
- Subdirección de Investigación Básica, Instituto Nacional de Cancerología, Ciudad de México, Mexico
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16
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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: 224] [Impact Index Per Article: 224.0] [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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17
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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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18
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Zhu T, Niu G, Zhang Y, Chen M, Li CY, Hao L, Zhang Z. Host-mediated RNA editing in viruses. Biol Direct 2023; 18:12. [PMID: 36978112 PMCID: PMC10043548 DOI: 10.1186/s13062-023-00366-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
Viruses rely on hosts for life and reproduction, cause a variety of symptoms from common cold to AIDS to COVID-19 and provoke public health threats claiming millions of lives around the globe. RNA editing, as a crucial co-/post-transcriptional modification inducing nucleotide alterations on both endogenous and exogenous RNA sequences, exerts significant influences on virus replication, protein synthesis, infectivity and toxicity. Hitherto, a number of host-mediated RNA editing sites have been identified in diverse viruses, yet lacking a full picture of RNA editing-associated mechanisms and effects in different classes of viruses. Here we synthesize the current knowledge of host-mediated RNA editing in a variety of viruses by considering two enzyme families, viz., ADARs and APOBECs, thereby presenting a landscape of diverse editing mechanisms and effects between viruses and hosts. In the ongoing pandemic, our study promises to provide potentially valuable insights for better understanding host-mediated RNA editing on ever-reported and newly-emerging viruses.
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Affiliation(s)
- Tongtong Zhu
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Guangyi Niu
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuansheng Zhang
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ming Chen
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chuan-Yun Li
- Laboratory of Bioinformatics and Genomic Medicine, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing, 100871, China
| | - Lili Hao
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
- China National Center for Bioinformation, Beijing, 100101, China.
| | - Zhang Zhang
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
- China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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19
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Li Y, Hou F, Zhou M, Yang X, Yin B, Jiang W, Xu H. C-to-U RNA deamination is the driving force accelerating SARS-CoV-2 evolution. Life Sci Alliance 2023; 6:6/1/e202201688. [PMID: 36347544 PMCID: PMC9644418 DOI: 10.26508/lsa.202201688] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/25/2022] [Accepted: 10/26/2022] [Indexed: 11/09/2022] Open
Abstract
Understanding the molecular mechanism underlying the rampant mutation of SARS-CoV-2 would help us control the COVID-19 pandemic. The APOBEC-mediated C-to-U deamination is a major mutation type in the SARS-CoV-2 genome. However, it is unclear whether the novel mutation rate u is higher for C-to-U than for other mutation types, and what the detailed driving force is. By analyzing the time course SARS-CoV-2 global population data, we found that C-to-U has the highest novel mutation rate u among all mutation types and that this u is still increasing with time (du/dt > 0). Novel C-to-U events, rather than other mutation types, have a preference over particular genomic regions. A less local RNA structure is correlated with a high novel C-to-U mutation rate. A cascade model nicely explains the du/dt > 0 for C-to-U deamination. In SARS-CoV-2, the RNA structure serves as the molecular basis of the extremely high and continuously accelerating C-to-U deamination rate. This mechanism is the driving force of the mutation, adaptation, and evolution of SARS-CoV-2. Our findings help us understand the dynamic evolution of the virus mutation rate.
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Affiliation(s)
- Yan Li
- Cardiovasology Department I, Qingdao Center Hospital, Qingdao, China
| | - Fanghua Hou
- Cardiovasology Department I, Qingdao Center Hospital, Qingdao, China
| | - Meili Zhou
- Emergency Department, Qingdao Center Hospital, Qingdao, China
| | - Xiaoping Yang
- Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, China
| | - Bin Yin
- Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, China
| | - Wenqing Jiang
- Department of Respiratory Diseases, Qingdao Haici Hospital, Qingdao, China
| | - Huiqing Xu
- Department of Pathology, Qingdao Haici Hospital, Qingdao, China
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20
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Nalewaj M, Szabat M. Examples of Structural Motifs in Viral Genomes and Approaches for RNA Structure Characterization. Int J Mol Sci 2022; 23:ijms232415917. [PMID: 36555559 PMCID: PMC9784701 DOI: 10.3390/ijms232415917] [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: 10/19/2022] [Revised: 12/04/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
The relationship between conserved structural motifs and their biological function in the virus replication cycle is the interest of many researchers around the world. RNA structure is closely related to RNA function. Therefore, technological progress in high-throughput approaches for RNA structure analysis and the development of new ones are very important. In this mini review, we discuss a few perspectives on the structural elements of viral genomes and some methods used for RNA structure prediction and characterization. Based on the recent literature, we describe several examples of studies concerning the viral genomes, especially severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza A virus (IAV). Herein, we emphasize that a better understanding of viral genome architecture allows for the discovery of the structure-function relationship, and as a result, the discovery of new potential antiviral therapeutics.
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21
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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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22
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Pekar JE, Magee A, Parker E, Moshiri N, Izhikevich K, Havens JL, Gangavarapu K, Malpica Serrano LM, Crits-Christoph A, Matteson NL, Zeller M, Levy JI, Wang JC, Hughes S, Lee J, Park H, Park MS, Ching KZY, Lin RTP, Mat Isa MN, Noor YM, Vasylyeva TI, Garry RF, Holmes EC, Rambaut A, Suchard MA, Andersen KG, Worobey M, Wertheim JO. The molecular epidemiology of multiple zoonotic origins of SARS-CoV-2. Science 2022; 377:960-966. [PMID: 35881005 PMCID: PMC9348752 DOI: 10.1126/science.abp8337] [Citation(s) in RCA: 73] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 07/18/2022] [Indexed: 01/08/2023]
Abstract
Understanding the circumstances that lead to pandemics is important for their prevention. We analyzed the genomic diversity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) early in the coronavirus disease 2019 (COVID-19) pandemic. We show that SARS-CoV-2 genomic diversity before February 2020 likely comprised only two distinct viral lineages, denoted "A" and "B." Phylodynamic rooting methods, coupled with epidemic simulations, reveal that these lineages were the result of at least two separate cross-species transmission events into humans. The first zoonotic transmission likely involved lineage B viruses around 18 November 2019 (23 October to 8 December), and the separate introduction of lineage A likely occurred within weeks of this event. These findings indicate that it is unlikely that SARS-CoV-2 circulated widely in humans before November 2019 and define the narrow window between when SARS-CoV-2 first jumped into humans and when the first cases of COVID-19 were reported. As with other coronaviruses, SARS-CoV-2 emergence likely resulted from multiple zoonotic events.
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Affiliation(s)
- Jonathan E. Pekar
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA 92093, USA
- Department of Biomedical Informatics, University of California San Diego, La Jolla, CA 92093, USA
| | - Andrew Magee
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Edyth Parker
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Niema Moshiri
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Katherine Izhikevich
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA 92093, USA
- Department of Mathematics, University of California San Diego, La Jolla, CA 92093, USA
| | - Jennifer L. Havens
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Karthik Gangavarapu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | | | - Alexander Crits-Christoph
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Nathaniel L. Matteson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Joshua I. Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jade C. Wang
- New York City Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York, NY 11101, USA
| | - Scott Hughes
- New York City Public Health Laboratory, New York City Department of Health and Mental Hygiene, New York, NY 11101, USA
| | - Jungmin Lee
- Department of Microbiology, Institute for Viral Diseases, Biosafety Center, College of Medicine, Korea University, Seoul, South Korea
| | - Heedo Park
- Department of Microbiology, Institute for Viral Diseases, Biosafety Center, College of Medicine, Korea University, Seoul, South Korea
- BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Man-Seong Park
- Department of Microbiology, Institute for Viral Diseases, Biosafety Center, College of Medicine, Korea University, Seoul, South Korea
- BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | | | - Raymond Tzer Pin Lin
- National Public Health Laboratory, National Centre for Infectious Diseases, Singapore
| | - Mohd Noor Mat Isa
- Malaysia Genome and Vaccine Institute, Jalan Bangi, 43000 Kajang, Selangor, Malaysia
| | - Yusuf Muhammad Noor
- Malaysia Genome and Vaccine Institute, Jalan Bangi, 43000 Kajang, Selangor, Malaysia
| | - Tetyana I. Vasylyeva
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Robert F. Garry
- Tulane University, School of Medicine, Department of Microbiology and Immunology, New Orleans, LA 70112, USA
- Zalgen Labs, LCC, Frederick, MD 21703 USA
- Global Virus Network (GVN), Baltimore, MD 21201, USA
| | - Edward C. Holmes
- Sydney Institute for Infectious Diseases, School of Life and Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Andrew Rambaut
- Institute of Evolutionary Biology, University of Edinburgh, King's Buildings, Edinburgh, EH9 3FL, UK
| | - Marc A. Suchard
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Department of Biomathematics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Kristian G. Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- Scripps Research Translational Institute, La Jolla, CA 92037, USA
| | - Michael Worobey
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Joel O. Wertheim
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
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23
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Silva JM, Pratas D, Caetano T, Matos S. The complexity landscape of viral genomes. Gigascience 2022; 11:6661051. [PMID: 35950839 PMCID: PMC9366995 DOI: 10.1093/gigascience/giac079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 05/25/2022] [Accepted: 07/26/2022] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Viruses are among the shortest yet highly abundant species that harbor minimal instructions to infect cells, adapt, multiply, and exist. However, with the current substantial availability of viral genome sequences, the scientific repertory lacks a complexity landscape that automatically enlights viral genomes' organization, relation, and fundamental characteristics. RESULTS This work provides a comprehensive landscape of the viral genome's complexity (or quantity of information), identifying the most redundant and complex groups regarding their genome sequence while providing their distribution and characteristics at a large and local scale. Moreover, we identify and quantify inverted repeats abundance in viral genomes. For this purpose, we measure the sequence complexity of each available viral genome using data compression, demonstrating that adequate data compressors can efficiently quantify the complexity of viral genome sequences, including subsequences better represented by algorithmic sources (e.g., inverted repeats). Using a state-of-the-art genomic compressor on an extensive viral genomes database, we show that double-stranded DNA viruses are, on average, the most redundant viruses while single-stranded DNA viruses are the least. Contrarily, double-stranded RNA viruses show a lower redundancy relative to single-stranded RNA. Furthermore, we extend the ability of data compressors to quantify local complexity (or information content) in viral genomes using complexity profiles, unprecedently providing a direct complexity analysis of human herpesviruses. We also conceive a features-based classification methodology that can accurately distinguish viral genomes at different taxonomic levels without direct comparisons between sequences. This methodology combines data compression with simple measures such as GC-content percentage and sequence length, followed by machine learning classifiers. CONCLUSIONS This article presents methodologies and findings that are highly relevant for understanding the patterns of similarity and singularity between viral groups, opening new frontiers for studying viral genomes' organization while depicting the complexity trends and classification components of these genomes at different taxonomic levels. The whole study is supported by an extensive website (https://asilab.github.io/canvas/) for comprehending the viral genome characterization using dynamic and interactive approaches.
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Affiliation(s)
- Jorge Miguel Silva
- Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Diogo Pratas
- Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.,Department of Electronics Telecommunications and Informatics, University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal.,Department of Virology, University of Helsinki, Haartmaninkatu 3, 00014 Helsinki, Finland
| | - Tânia Caetano
- Department of Biology, University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
| | - Sérgio Matos
- Institute of Electronics and Informatics Engineering of Aveiro, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.,Department of Electronics Telecommunications and Informatics, University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
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24
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Evolutionary analysis of rabies virus isolates from Georgia. Arch Virol 2022; 167:2293-2298. [DOI: 10.1007/s00705-022-05550-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 06/14/2022] [Indexed: 11/02/2022]
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25
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Liu X, Liu X, Zhou J, Dong Y, Jiang W, Jiang W. Rampant C-to-U deamination accounts for the intrinsically high mutation rate in SARS-CoV-2 spike gene. RNA (NEW YORK, N.Y.) 2022; 28:917-926. [PMID: 35508354 PMCID: PMC9202584 DOI: 10.1261/rna.079160.122] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 04/24/2022] [Indexed: 06/01/2023]
Abstract
The high mutation rate of SARS-CoV-2 largely complicates our control of the pandemic. In particular, it is currently unclear why the spike (S) gene has an extraordinarily high mutation rate among all SARS-CoV-2 genes. By analyzing the occurrence of fixed synonymous mutations between SARS-CoV-2 and RaTG13, and profiling the DAF (derived allele frequency) of polymorphic synonymous sites among millions of worldwide SARS-CoV-2 strains, we found that both fixed and polymorphic mutations show higher mutation rates in the S gene than other genes. The majority of mutations are C-to-T, representing the APOBEC-mediated C-to-U deamination instead of the previously proposed A-to-I deamination. Both in silico and in vivo evidence indicated that the S gene is more likely to be single-stranded compared to other SARS-CoV-2 genes, agreeing with the APOBEC preference of ssRNA. We conclude that the single-stranded property of the S gene makes it a favorable target for C-to-U deamination, leading to its excessively high mutation rate compared to other non-S genes. In conclusion, APOBEC, rather than ADAR, is the "editor-in-chief" of SARS-CoV-2 RNAs. This work helps us to understand the molecular mechanism underlying the mutation and evolution of SARS-CoV-2, and we believe it will contribute to the control of the pandemic.
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Affiliation(s)
- Xueyan Liu
- Institute of Integrative Medicine, School of Basic Medicine, Qingdao University, Qingdao, Shandong 266073, China
- Department of Disease Prevention, Qingdao Hiser Medical Group, Qingdao, Shandong 266033, China
| | - Xuan Liu
- Respiratory and Critical Illness Medicine Department II, Qingdao Hiser Medical Group, Qingdao, Shandong 266033, China
| | - Jie Zhou
- Nursing Department, Qingdao Central Hospital, Qingdao, Shandong 266042, China
| | - Yu Dong
- Interventional Catheterization Lab, Qingdao Central Hospital, Qingdao, Shandong 266042, China
| | - Wen Jiang
- Respiratory and Critical Illness Medicine Department II, Qingdao Hiser Medical Group, Qingdao, Shandong 266033, China
| | - Wenqing Jiang
- Respiratory and Critical Illness Medicine Department II, Qingdao Hiser Medical Group, Qingdao, Shandong 266033, China
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26
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Hassanin A. Variation in synonymous nucleotide composition among genomes of sarbecoviruses and consequences for the origin of COVID-19. Gene X 2022; 835:146641. [PMID: 35700806 PMCID: PMC9200079 DOI: 10.1016/j.gene.2022.146641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 05/19/2022] [Accepted: 06/02/2022] [Indexed: 11/26/2022] Open
Abstract
The subgenus Sarbecovirus includes two human viruses, SARS-CoV and SARS-CoV-2, respectively responsible for the SARS epidemic and COVID-19 pandemic, as well as many bat viruses and two pangolin viruses. Here, the synonymous nucleotide composition (SNC) of Sarbecovirus genomes was analysed by examining third codon-positions, dinucleotides, and degenerate codons. The results show evidence for the eight following groups: (i) SARS-CoV related coronaviruses (SCoVrC including many bat viruses from China), (ii) SARS-CoV-2 related coronaviruses (SCoV2rC; including five bat viruses from Cambodia, Thailand and Yunnan), (iii) pangolin sarbecoviruses, (iv) three bat sarbecoviruses showing evidence of recombination between SCoVrC and SCoV2rC genomes, (v) two highly divergent bat sarbecoviruses from Yunnan, (vi) the bat sarbecovirus from Japan, (vii) the bat sarbecovirus from Bulgaria, and (viii) the bat sarbecovirus from Kenya. All these groups can be diagnosed by specific nucleotide compositional features except the one concerned by recombination between SCoVrC and SCoV2rC. In particular, SCoV2rC genomes have less cytosines and more uracils at third codon-positions than other sarbecoviruses, whereas the genomes of pangolin sarbecoviruses show more adenines at third codon-positions. I suggest that taxonomic differences in the imbalanced nucleotide pools available in host cells during viral replication can explain the eight groups of SNC here detected among Sarbecovirus genomes. A related effect due to hibernating bats and their latitudinal distribution is also discussed. I conclude that the two independent host switches from Rhinolophus bats to pangolins resulted in convergent mutational constraints and that SARS-CoV-2 emerged directly from a horseshoe bat sarbecovirus.
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Affiliation(s)
- Alexandre Hassanin
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Sorbonne Université, CNRS, EPHE, MNHN, UA, Paris, France.
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27
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Wei L. Reconciling the debate on deamination on viral RNA. J Appl Genet 2022; 63:583-585. [PMID: 35507138 PMCID: PMC9065659 DOI: 10.1007/s13353-022-00698-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/27/2022] [Accepted: 04/29/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Lai Wei
- College of Life Sciences, Beijing Normal University, Beijing, China.
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28
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Martignano F, Di Giorgio S, Mattiuz G, Conticello SG. Commentary on “Poor evidence for host-dependent regular RNA editing in the transcriptome of SARS-CoV-2”. J Appl Genet 2022; 63:423-428. [PMID: 35279801 PMCID: PMC8917825 DOI: 10.1007/s13353-022-00688-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 02/14/2022] [Accepted: 02/16/2022] [Indexed: 01/10/2023]
Abstract
Analysis of the SARS-CoV-2 transcriptome has revealed a background of low-frequency intra-host genetic changes with a strong bias towards transitions. A similar pattern is also observed when inter-host variability is considered. We and others have shown that the cellular RNA editing machinery based on ADAR and APOBEC host-deaminases could be involved in the onset of SARS-CoV-2 genetic variability. Our hypothesis is based both on similarities with other known forms of viral genome editing and on the excess of transition changes, which is difficult to explain with errors during viral replication. Zong et al. criticize our analysis on both conceptual and technical grounds. While ultimate proof of an involvement of host deaminases in viral RNA editing will depend on experimental validation, here, we address the criticism to suggest that viral RNA editing is the most reasonable explanation for the observed intra- and inter-host variability.
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Affiliation(s)
- F Martignano
- Core Research Laboratory, ISPRO, 50139, Firenze, Italy
| | - S Di Giorgio
- German Cancer Research Center (DKFZ), Division of Immune Diversity, Foundation Under Public Law, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - G Mattiuz
- Department of Experimental and Clinical Medicine, University of Florence, 50139, Firenze, Italy
| | - S G Conticello
- Core Research Laboratory, ISPRO, 50139, Firenze, Italy.
- Institute of Clinical Physiology, National Research Council, 56124, Pisa, Italy.
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29
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Abstract
The AID/APOBEC polynucleotide cytidine deaminases have historically been classified as either DNA mutators or RNA editors based on their first identified nucleic acid substrate preference. DNA mutators can generate functional diversity at antibody genes but also cause genomic instability in cancer. RNA editors can generate informational diversity in the transcriptome of innate immune cells, and of cancer cells. Members of both classes can act as antiviral restriction factors. Recent structural work has illuminated differences and similarities between AID/APOBEC enzymes that can catalyse DNA mutation, RNA editing or both, suggesting that the strict functional classification of members of this family should be reconsidered. As many of these enzymes have been employed for targeted genome (or transcriptome) editing, a more holistic understanding will help improve the design of therapeutically relevant programmable base editors. In this Perspective, Pecori et al. provide an overview of the AID/APOBEC cytidine deaminase family, discussing key structural features, how they contribute to viral and tumour evolution and how they can be harnessed for (potentially therapeutic) base-editing purposes.
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30
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Divergent SARS-CoV-2 variant emerges in white-tailed deer with deer-to-human transmission. Nat Microbiol 2022; 7:2011-2024. [PMID: 36357713 PMCID: PMC9712111 DOI: 10.1038/s41564-022-01268-9] [Citation(s) in RCA: 75] [Impact Index Per Article: 37.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 10/13/2022] [Indexed: 11/12/2022]
Abstract
Wildlife reservoirs of broad-host-range viruses have the potential to enable evolution of viral variants that can emerge to infect humans. In North America, there is phylogenomic evidence of continual transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from humans to white-tailed deer (Odocoileus virginianus) through unknown means, but no evidence of transmission from deer to humans. We carried out an observational surveillance study in Ontario, Canada during November and December 2021 (n = 300 deer) and identified a highly divergent lineage of SARS-CoV-2 in white-tailed deer (B.1.641). This lineage is one of the most divergent SARS-CoV-2 lineages identified so far, with 76 mutations (including 37 previously associated with non-human mammalian hosts). From a set of five complete and two partial deer-derived viral genomes we applied phylogenomic, recombination, selection and mutation spectrum analyses, which provided evidence for evolution and transmission in deer and a shared ancestry with mink-derived virus. Our analysis also revealed an epidemiologically linked human infection. Taken together, our findings provide evidence for sustained evolution of SARS-CoV-2 in white-tailed deer and of deer-to-human transmission.
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