Apr 4, 2020

In-silico analysis of SARS-CoV-2 genomes: Insights from SARS encoded non-coding RNAs

BioRxiv : the Preprint Server for Biology
Eamonn B MallonVikas Sood

Abstract

Recently a novel coronavirus (SARS-CoV-2) emerged from Wuhan, China and has infected more than 571000 people leading to more than 26000 deaths. Since SARS-CoV-2 genome sequences show similarity with those of SARS, we sought to analyze all the available SARS-CoV-2 genomes based on the insights obtained from SARS genome specifically focusing on non-coding RNAs. Here, results are presented from the dual approach i.e identifying host encoded miRNAs that might regulate viral pathogenesis as well as identifying viral encoded miRNAs that might regulate host cell signaling pathways and aid in viral pathogenesis. Analysis utilizing first approach resulted in the identification of 10 host encoded miRNAs that could target the genome of both the viruses (SARS-CoV-2 and SARS reference genome). Interestingly our analysis revealed that there is significantly higher number of host miRNAs that could target SARS-CoV-2 genome as compared to the SARS reference genome. Results from second approach involving SARS-CoV-2 and SARS reference genome identified a set of virus encoded miRNAs which might regulate host signaling pathways. Our analysis further identified a similar GA rich motif in SARS-CoV-2 genome that was shown to play a vital role in lung ...Continue Reading

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Mentioned in this Paper

Gene Polymorphism
DNA Methylation [PE]
Locusts
CFC1 gene
Protein Methylation
Isolation Aspects
Science of Morphology
Tooth Crowding
Visual Perception
Changes in DNA Methylation

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