Temporal changes in the accessory protein mutations of SARS-CoV-2 variants and their predicted structural and functional effects.

Emerging variants enable the continuous spread of SARS-CoV-2 in humans. The factors contributing to behavioral differences in variants remain elusive despite associations with several Spike protein mutations. Exploring accessory proteins may provide a wider understanding of these differences since these proteins may affect viral processes that occur beyond infection. Various bioinformatics tools were utilized to identify significant accessory protein mutations and determine their structural and functional effects over time. The ViruClust web application was used to retrieve accessory protein amino acid sequences and determine mutation frequencies in these sequences across time. The structural and functional effects of the mutations were determined using Missense3D and PROVEAN, respectively. The accessory and Spike protein mutations were compared using mutation densities. Q57H and T151I of ORF3a; T21I and W27L of ORF6; G38V, V82A, and T120I of ORF7a; S31P and T40I of ORF7b; and R52I, C61F, and I121L of ORF8 were highly frequent in most variants of concern and were within known functional domains. Thus, these are good candidates for further experimental evaluation. Among the accessory proteins, ORF6 and ORF8 were highlighted because of their strong and weak correlation with Spike protein mutations, respectively.

Genomic and proteomic mutation landscapes of SARS-CoV-2.

The ongoing pandemic caused by a novel coronavirus, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), affects thousands of people every day worldwide. Hence, drugs and vaccines effective against all variants of SARS-CoV-2 are crucial today. Viral genome mutations exist commonly which may impact the encoded proteins, possibly resulting to varied effectivity of detection tools and disease treatment. Thus, this study surveyed the SARS-CoV-2 genome and proteome and evaluated its mutation characteristics. Phylogenetic analyses of SARS-CoV-2 genes and proteins show three major clades and one minor clade (P6810S; ORF1ab). The overall frequency and densities of mutations in the genes and proteins of SARS-CoV-2 were observed. Nucleocapsid exhibited the highest mutation density among the structural proteins while the spike D614G was the most common, occurring mostly in genomes outside China and United States. ORF8 protein had the highest mutation density across all geographical areas. Moreover, mutation hotspots neighboring and at the catalytic site of RNA-dependent RNA polymerase were found that might challenge the binding and effectivity of remdesivir. Mutation coldspots may present as conserved diagnostic and therapeutic targets were found in ORF7b, ORF9b, and ORF14. These findings suggest that the virion's genotype and phenotype in a specific population should be considered in developing diagnostic tools and treatment options.

Environmental pollutant exposure can exacerbate COVID-19 neurologic symptoms.

Neurologic symptoms have been reported in some COVID-19 patients. However, little is known on what factors influence the risk of developing these symptoms. While some studies suggest that exposure to pollution is associated with higher rates of SARS-CoV-2 infection, its role is unknown in the development of neurologic symptoms in COVID-19 patients. The response of the central nervous system (CNS) to a SARS-CoV-2 infection may be influenced by its inflammatory state. Interestingly, environmental pollutants such as particulate matter may have neuroinflammatory effects, providing a possible link between exposure to these pollutants and the outcome of SARS-CoV-2 infection in the CNS. This article explores the hypothesis that the neurologic symptoms in COVID-19 may be exacerbated through a neuroinflammatory mechanism that is promoted by environmental pollutant exposure.