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Scarpa F, Azzena I, Ciccozzi A, Branda F, Locci C, Perra M, Pascale N, Romano C, Ceccarelli G, Terrazzano G, Fiori PL, Ciccozzi M, Casu M, Sanna D. Update of the Genetic Variability of Monkeypox Virus Clade IIb Lineage B.1. Microorganisms 2024; 12:1874. [PMID: 39338547 PMCID: PMC11434445 DOI: 10.3390/microorganisms12091874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Revised: 09/06/2024] [Accepted: 09/09/2024] [Indexed: 09/30/2024] Open
Abstract
From 1 January 2022 to 31 May 2024, the World Health Organization (WHO) reported 97,745 laboratory-confirmed Mpox cases, including 203 deaths, across 116 countries. Despite a 2.3% decrease in new cases in May 2024 compared to April 2024, significant regional variations persist. The African Region reported the highest proportion of new cases, while other regions experienced mixed trends. Phylogenomic analyses of the Mpox virus Clade IIb lineage B.1 reveal stable genetic variability with minimal diversification. The Bayesian Skyline Plot indicates a generally stable viral population size with a modest peak in late 2023, followed by a decline. In general, the data indicate that the MPXV outbreak is primarily localized within a few consistent geographic clusters. The virus's evolution is relatively slow, as indicated by its stable genetic variability, and Clade IIb lineage B.1 does not currently show signs of rapid genetic changes or population growth. The current low level of genetic diversity should not lead to complacency. Ongoing genomic surveillance is essential for effective outbreak management and understanding. This monitoring is crucial for identifying any shifts in the virus's behavior or transmission, allowing for prompt public health responses and adjustments. In addition, continued vigilance is necessary to detect any new variants that might influence the outbreak's trajectory.
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Affiliation(s)
- Fabio Scarpa
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Ilenia Azzena
- Department of Veterinary Medicine, University of Sassari, 07100 Sassari, Italy
| | - Alessandra Ciccozzi
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Francesco Branda
- Unit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, 00128 Roma, Italy
| | - Chiara Locci
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
- Department of Veterinary Medicine, University of Sassari, 07100 Sassari, Italy
| | - Maria Perra
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
| | - Noemi Pascale
- Department of Veterinary Medicine, University of Sassari, 07100 Sassari, Italy
- Department of Chemical Physical Mathematical and Natural Sciences, University of Sassari, 07100 Sassari, Italy
| | - Chiara Romano
- Unit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, 00128 Roma, Italy
| | - Giancarlo Ceccarelli
- Department of Public Health and Infectious Diseases, University Hospital Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy
| | | | - Pier Luigi Fiori
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
- Azienza Ospedaliera Universitaria (AOU) Sassari, 07100 Sassari, Italy
| | - Massimo Ciccozzi
- Unit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, 00128 Roma, Italy
| | - Marco Casu
- Department of Veterinary Medicine, University of Sassari, 07100 Sassari, Italy
| | - Daria Sanna
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
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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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Scarpa F, Branda F, Petrosillo N, Ciccozzi M. On the SARS-CoV-2 Variants. Infect Dis Rep 2024; 16:289-297. [PMID: 38667750 PMCID: PMC11050187 DOI: 10.3390/idr16020024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 03/09/2024] [Accepted: 03/22/2024] [Indexed: 04/28/2024] Open
Abstract
The evolutionary dynamics of viruses, particularly exemplified by SARS-CoV-2 during the ongoing COVID-19 pandemic, underscore the intricate interplay between genetics, host adaptation, and viral spread. This paper delves into the genetic evolution of SARS-CoV-2, emphasizing the implications of viral variants on global health. Initially emerging from the Wuhan-Hu-1 lineage, SARS-CoV-2 rapidly diversified into numerous variants, each characterized by distinct mutations in the spike protein and other genomic regions. Notable variants such as B.1.1.7 (α), B.1.351 (β), P.1 (γ), B.1.617.2 (δ), and the Omicron variant have garnered significant attention due to their heightened transmissibility and immune evasion capabilities. In particular, the Omicron variant has presented a myriad of subvariants, raising concerns about its potential impact on public health. Despite the emergence of numerous variants, the vast majority have exhibited limited expansion capabilities and have not posed significant threats akin to early pandemic strains. Continued genomic surveillance is imperative to identify emerging variants of concern promptly. While genetic adaptation is intrinsic to viral evolution, effective public health responses must be grounded in empirical evidence to navigate the evolving landscape of the pandemic with resilience and precision.
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Affiliation(s)
- Fabio Scarpa
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43b, 07100 Sassari, Italy
| | - Francesco Branda
- Unit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, 00128 Rome, Italy; (F.B.); (M.C.)
| | - Nicola Petrosillo
- Infection Prevention Control/Infectious Disease Service, Fondazione Policlinico Universitario Campus Bio-Medico, 00127 Rome, Italy
| | - Massimo Ciccozzi
- Unit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, 00128 Rome, Italy; (F.B.); (M.C.)
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Puenpa J, Chansaenroj J, Suwannakarn K, Poovorawan Y. Genomic epidemiology and evolutionary analysis during XBB.1.16-predominant periods of SARS-CoV-2 omicron variant in Bangkok, Thailand: December 2022-August 2023. Sci Rep 2024; 14:645. [PMID: 38182705 PMCID: PMC10770311 DOI: 10.1038/s41598-023-50856-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 12/27/2023] [Indexed: 01/07/2024] Open
Abstract
The growing occurrence of novel recombinants, such as XBB.1.16, has emerged and become predominant, raising concerns about the impact of genomic recombination on the evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study investigated the molecular epidemiological trends and evolution of the Omicron XBB.1.16 epidemic in Bangkok between December 2022 and August 2023. Partial spike and complete genome sequencing of SARS-CoV-2 samples collected from collaborating hospitals were performed. The analysis of 491 partial spike sequences identified 15 distinct lineages, with XBB.1.16 dominating the lineages beginning in March 2023. Phylogenetic analysis revealed at least four distinct XBB.1.16 lineages, suggesting multiple independent introductions into Bangkok. The estimated emergence of XBB.1.16 occurred approximately in January 2022, with an evolutionary rate of 0.79 × 10-3 substitutions per site per year. Monitoring the genomic epidemiology and evolution of XBB.1.16 is vital for the early detection of new strains or emerging variants, which may guide vaccine design and the inclusion of new vaccine strains.
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Affiliation(s)
- Jiratchaya Puenpa
- Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Jira Chansaenroj
- Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Kamol Suwannakarn
- Department of Microbiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Yong Poovorawan
- Center of Excellence in Clinical Virology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
- FRS(T), The Royal Society of Thailand, Sanam Sueapa, Dusit, Bangkok, Thailand.
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