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The COVID-19 epidemic in Brazil experienced two major lineage replacements until mid-2021. The first was driven by lineage P.2, in late 2020, and the second by lineage Gamma, in early 2021. To understand how these SARS-CoV-2 lineages spread in Brazil, we analyzed 11,724 genomes collected throughout the country between September 2020 and April 2021. Our findings indicate that lineage P.2 probably emerged in July 2020 in the Rio de Janeiro state and Gamma in November 2020 in the Amazonas state. Both states were the main hubs of viral disseminations to other Brazilian locations. We estimate that Gamma was 1.56-3.06 times more transmissible than P.2 in Rio de Janeiro and that the median effective reproductive number (Re) of Gamma varied according to the geographic context (Re = 1.59-3.55). In summary, our findings support that lineage Gamma was more transmissible and spread faster than P.2 in Brazil.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957357 | PMC |
http://dx.doi.org/10.1016/j.isci.2022.104156 | DOI Listing |
Virol Sin
September 2025
State Key Laboratory of Virology and Biosafety, RNA Institute, College of Life Sciences and Frontier Science Center for Immunology and Metabolism, Wuhan University, Wuhan, 430072, China; Institute for Vaccine Research at Animal Bio-safety Level Ⅲ Laboratory, Wuhan University, Wuhan, 430071, China.
Since the outbreak of SARS-CoV-2 in late 2019, the cumulative number of confirmed cases worldwide has surpassed 778 million, and the number of deaths has exceeded 7 million, posing a significant threat to human life and health while inflicting enormous losses on the global economy. At the stage where sequential immunization is recommended, there is a pressing demand for mRNA vaccines that can be rapidly adapted to new sequences, are easy to industrialize, and exhibit high safety and effectiveness. We developed a lipid nanoparticle (LNP) system, designated as WNP, which facilitates essentially in situ expression at the injection site and results in lower levels of pro-inflammatory factors in the liver, thus enhancing its safety compared to liver-targeted alternatives.
View Article and Find Full Text PDFArch Med Res
September 2025
Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Background: As of September 2024, Mexico had reported over 7.6 million confirmed cases of COVID-19 and 334,785 deaths. Genomic surveillance has been essential, with 94,799 SARS-CoV-2 genomes sequenced nationwide, 38.
View Article and Find Full Text PDFJ Virol
September 2025
Division of Medical Virology, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Unlabelled: Ongoing viral evolution in immunocompromised individuals with persistent infection may facilitate the evolution of SARS-CoV-2 and emergence of variants of concern (VOC). This study was conducted in the Western Cape Province of South Africa where the HIV prevalence is around 8%, with limited information on the frequency of persistent SARS-CoV-2 infection, the pattern of evolution in these individuals, and if these variants contribute to the diversity of circulating viruses. This study investigated 75 individuals with two or more SARS-CoV-2 diagnoses at least one month apart.
View Article and Find Full Text PDFFront Microbiol
August 2025
Yantai Center for Disease Control and Prevention, Yantai, China.
Introduction: The SARS-CoV-2 pandemic has caused a global crisis that has impacted not only health care systems, but also economies and societies. The constraints in clinical testing provide challenges in reliably assessing the prevalence of variations, particularly in regions with limited resources, testing, and sequencing capabilities. Sewage-based epidemiology uses SARS-CoV-2 in sewage as an indicator, can monitor and provide early warning of viral transmission in communities, thereby informing response strategies.
View Article and Find Full Text PDFComput Struct Biotechnol J
August 2025
Department of Biological Sciences and Biotechnology, College of Natural Science, Chungbuk National University, Cheongju, Republic of Korea.
Viruses exhibit rapid evolutionary dynamics through random mutations and selection, driving their adaptation and cross-species transmission. To investigate these mechanisms, we designed a simulation framework with a graphical user interface (GUI), implementing random mutation and similarity-based selection. This system models the evolution of a user-supplied viral sequence toward a designated target by recursively selecting the top-N amino acid sequences with the greatest similarity in each replication cycle.
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