65 research outputs found
US National Institutes of Health Prioritization of SARS-CoV-2 Variants
Since late 2020, SARS-CoV-2 variants have regularly emerged with competitive and phenotypic differences from previously circulating strains, sometimes with the potential to escape from immunity produced by prior exposure and infection. The Early Detection group is one of the constituent groups of the US National Institutes of Health National Institute of Allergy and Infectious Diseases SARS-CoV-2 Assessment of Viral Evolution program. The group uses bioinformatic methods to monitor the emergence, spread, and potential phenotypic properties of emerging and circulating strains to identify the most relevant variants for experimental groups within the program to phenotypically characterize. Since April 2021, the group has prioritized variants monthly. Prioritization successes include rapidly identifying most major variants of SARS-CoV-2 and providing experimental groups within the National Institutes of Health program easy access to regularly updated information on the recent evolution and epidemiology of SARS-CoV-2 that can be used to guide phenotypic investigations.</p
Correction to: Microbial function and genital inflammation in young South African women at high risk of HIV infection
Correction to: Microbiome 8, 165 (2020) https://doi.org/10.1186/s40168-020-00932-
Genetic diversity among and within Iranian and non-Iranian barely (Hordeum vulgare L.) genotypes using SSR and storage proteins markers
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Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence.
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Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence.
MotivationAs the COVID-19 pandemic is spreading around the world, the SARS-CoV-2 virus is evolving with mutations that potentially change and fine-tune functions of the proteins coded in its genome.ResultsCoronavirus3D website integrates data on the SARS-CoV-2 virus mutations with information about 3D structures of its proteins, allowing users to visually analyze the mutations in their 3D context.Availability and implementationCoronavirus3D server is freely available at https://coronavirus3d.org
Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence.
MotivationAs the COVID-19 pandemic is spreading around the world, the SARS-CoV-2 virus is evolving with mutations that potentially change and fine-tune functions of the proteins coded in its genome.ResultsCoronavirus3D website integrates data on the SARS-CoV-2 virus mutations with information about 3D structures of its proteins, allowing users to visually analyze the mutations in their 3D context.Availability and implementationCoronavirus3D server is freely available at https://coronavirus3d.org
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The interplay of SARS-CoV-2 evolution and constraints imposed by the structure and functionality of its proteins.
The unprecedented pace of the sequencing of the SARS-CoV-2 virus genomes provides us with unique information about the genetic changes in a single pathogen during ongoing pandemic. By the analysis of close to 200,000 genomes we show that the patterns of the SARS-CoV-2 virus mutations along its genome are closely correlated with the structural and functional features of the encoded proteins. Requirements of foldability of proteins' 3D structures and the conservation of their key functional regions, such as protein-protein interaction interfaces, are the dominant factors driving evolutionary selection in protein-coding genes. At the same time, avoidance of the host immunity leads to the abundance of mutations in other regions, resulting in high variability of the missense mutation rate along the genome. "Unexplained" peaks and valleys in the mutation rate provide hints on function for yet uncharacterized genomic regions and specific protein structural and functional features they code for. Some of these observations have immediate practical implications for the selection of target regions for PCR-based COVID-19 tests and for evaluating the risk of mutations in epitopes targeted by specific antibodies and vaccine design strategies
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The interplay of SARS-CoV-2 evolution and constraints imposed by the structure and functionality of its proteins
Fast evolution of the SARS-CoV-2 virus provides us with unique information about the patterns of genetic changes in a single pathogen in the timescale of months. This data is used extensively to track the phylodynamic of the pandemic’s spread and its split into distinct clades. Here we show that the patterns of SARS-CoV-2 virus mutations along its genome are closely correlated with the structural features of the coded proteins. We show that the foldability of proteins’ 3D structures and conservation of their functions are the universal factors driving evolutionary selection in protein-coding genes. Insights from the analysis of mutation distribution in the context of the SARS-CoV-2 proteins’ structures and functions have practical implications including evaluating potential antigen epitopes or selection of primers for PCR-based COVID-19 tests
Increased frequency of recurrent in-frame deletions in new expanding lineages of SARS CoV-2 reflects immune selective pressure
AbstractMost of the attention in the surveillance of evolution of SARS-CoV-2 has been centered on single nucleotide substitutions in the spike glycoprotein. We show that in-frame deletions (IFDs) also play a significant role in the evolution of viral genome. The percentage of genomes and lineages with IFDs is growing rapidly and they co-occur independently in multiple lineages, including emerging variants of concerns. IFDs distribution is correlated with spike mutations associated with immune escape and concentrated in proteins involved in interactions with the host immune system. Structural analysis suggests that IFDs remodel viral proteins’ surfaces at common epitopes and interaction interfaces, affecting the virus’ interactions with the immune system. We hypothesize that the increased frequency of IFDs is an adaptive response to elevated global population immunity.SummaryMonitoring of SARS-CoV-2 genome evolution uncovers increased frequency and non-random distribution of in-frame deletions in recently emerged lineages.</jats:sec
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