mSystemsGenomicsPeer-reviewed journal article
SARS-CoV-2 and ORF3a: Non-Synonymous Mutations and Polyproline Regions
Elio IssaiD, Georgi MerhiiD, Balig PanossianiD, Tamara SalloumiD, Sima T. TokajianiD
Abstract
The effect of the rapid accumulation of non-synonymous mutations on the pathogenesis of SARS-CoV-2 is not yet known. To predict the impact of non-synonymous mutations and polyproline regions identified in ORF3a on the formation of B-cell epitopes and their role in evading the immune response, nucleotide and protein sequences of 537 available SARS-CoV-2 genomes were analyzed for the presence of non-synonymous mutations and polyproline regions. Mutations were correlated with changes in epitope formation. A total of 19 different non-synonymous amino acids substitutions were detected in ORF3a among 537 SARS-CoV-2 strains. G251V was the most common and identified in 9.9% (n=53) of the strains and was predicted to lead to the loss of a B-cell like epitope in ORF3a. Polyproline regions were detected in two strains (EPI_ISL_410486, France and EPI_ISL_407079, Finland) and affected epitopes formation. The accumulation of non-synonymous mutations and detected polyproline regions in ORF3a of SARS-CoV-2 could be driving the evasion of the host immune response thus favoring viral spread. Rapid mutations accumulating in ORF3a should be closely monitored throughout the COVID-19 pandemic. ImportanceAt the surge of the COVID-19 pandemic and after three months of the identification of SARS-CoV-2 as the disease-causing pathogen, nucleic acid changes due to host-pathogen interactions are insightful into the evolution of this virus. In this paper, we have identified a set of non-synonymous mutations in ORF3a and predicted their impact on B-cell like epitope formation. The accumulation of non-synonymous mutations in ORF3a could be driving protein changes that mediate immune evasion and favoring viral spread.
- organism: virus
- assay: protein sequence
- research focus: differential expression
- approach: statistical model
- Citations
- 219
- FWCI
- 6.77
- Field percentile
- top 2%
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