The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has motivated a widespread effort to understand its epidemiology and pathogenic mechanisms. Modern high-throughput sequencing technology has led to the deposition of vast numbers of SARS-CoV-2 genome sequences in curated repositories, which have been useful in mapping the spread of the virus around the globe. They also provide a unique opportunity to observe virus evolution in real time. Here, we evaluate two cohorts of SARS-CoV-2 genomic sequences to identify rapidly emerging variants within structured cis-regulatory elements of the SARS-CoV-2 genome. Overall, twenty variants are present at a minor allele frequency of at least 0.5%. Several enhance the stability of Stem Loop 1 in the 5'UTR, including a set of co-occurring variants that extend its length. One appears to modulate the stability of the frameshifting pseudoknot between ORF1a and ORF1b, and another perturbs a bi-stable molecular switch in the 3'UTR. Finally, five variants destabilize structured elements within the 3'UTR hypervariable region, including the S2M stem loop, raising questions as to the functional relevance of these structures in viral replication. Two of the most abundant variants appear to be caused by RNA editing, suggesting host-viral defense contributes to SARS-CoV-2 genome heterogeneity. This analysis has implications for the development of therapeutics that target viral cis-regulatory RNA structures or sequences, as rapidly emerging variations in these regions could lead to drug resistance.
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http://dx.doi.org/10.1101/2020.05.27.120105 | DOI Listing |
Microbiol Spectr
January 2025
Faculty of Chemistry, Biotechnology and Food Science, NMBU - Norwegian University of Life Sciences, Ås, Norway.
Unlabelled: a natural inhabitant of the human body, is a promising candidate vehicle for vaccine delivery. An obstacle in developing bacterial delivery vehicles is generating a production strain that lacks antibiotic resistance genes and contains minimal foreign DNA. To deal with this obstacle, we have constructed a finetuned, inducible two-plasmid CRISPR/Cas9-system for chromosomal gene insertion in .
View Article and Find Full Text PDFJ Multidiscip Healthc
January 2025
Department of Clinical Pathology, Faculty of Medicine Universitas Padjadjaran/Hasan Sadikin General Hospital, Bandung, West Java, Indonesia.
Purpose: Omicron is a variant with the highest number of mutations among all Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) viruses, making whole genome sequencing (WGS) an essential tool for public health surveillance and molecular epidemiology. It is important to note that surveillance data can provide insights into the virus evolution and disease control. This study aims to provide an overview of WGS results for the SARS-CoV-2 Omicron Variant at Hasan Sadikin General Hospital Bandung.
View Article and Find Full Text PDFHeliyon
July 2024
Núcleo de Genética Humana e Molecular, Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, 29075-910, Brazil.
Since December 2019, a new form of Severe Acute Respiratory Syndrome (SARS) has emerged worldwide, caused by SARS coronavirus 2 (SARS-CoV-2). This disease was called COVID-19 and was declared a pandemic by the World Health Organization in March 2020. Symptoms can vary from a common cold to severe pneumonia, hypoxemia, respiratory distress, and death.
View Article and Find Full Text PDFMicrob Biotechnol
January 2025
Izmir Biomedicine and Genome Center, Izmir, Turkey.
Low-cost and safe vaccines are needed to fill the vaccine inequity gap for future pandemics. Pichia pastoris is an ideal expression system for recombinant protein production due to its cost-effective and easy-to-scale-up process. Here, we developed a next-generation SARS-CoV2 Omicron BA.
View Article and Find Full Text PDFBrief Bioinform
November 2024
GENYO, Centre for Genomics and Oncological Research: Pfizer / University of Granada / Andalusian Regional Government, PTS Granada, Avenida de la Ilustración 114, Granada 18016, Spain.
Recent advances in single-cell RNA-Sequencing (scRNA-Seq) technologies have revolutionized our ability to gather molecular insights into different phenotypes at the level of individual cells. The analysis of the resulting data poses significant challenges, and proper statistical methods are required to analyze and extract information from scRNA-Seq datasets. Sample classification based on gene expression data has proven effective and valuable for precision medicine applications.
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