About: Comparative analyses of SAR-CoV2 genomes from different geographical locations and other coronavirus family genomes reveals unique features potentially consequential to host-virus interaction and pathogenesis

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About: Comparative analyses of SAR-CoV2 genomes from different geographical locations and other coronavirus family genomes reveals unique features potentially consequential to host-virus interaction and pathogenesis Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Comparative analyses of SAR-CoV2 genomes from different geographical locations and other coronavirus family genomes reveals unique features potentially consequential to host-virus interaction and pathogenesis
Creator	Gupta, Dinesh Birla, Shweta Leader, Group Sardar, Rahila Satish, Deepshikha
Source	BioRxiv
abstract	The ongoing pandemic of the coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). We have performed an integrated sequence-based analysis of SARS-CoV2 genomes from different geographical locations in order to identify its unique features absent in SARS-CoV and other related coronavirus family genomes, conferring unique infection, facilitation of transmission, virulence and immunogenic features to the virus. The phylogeny of the genomes yields some interesting results. Systematic gene level mutational analysis of the genomes has enabled us to identify several unique features of the SARS-CoV2 genome, which includes a unique mutation in the spike surface glycoprotein (A930V (24351C>T)) in the Indian SARS-CoV2, absent in other strains studied here. We have also predicted the impact of the mutations in the spike glycoprotein function and stability, using computational approach. To gain further insights into host responses to viral infection, we predict that antiviral host-miRNAs may be controlling the viral pathogenesis. Our analysis reveals nine host miRNAs which can potentially target SARS-CoV2 genes. Interestingly, the nine miRNAs do not have targets in SARS and MERS genomes. Also, hsa-miR-27b is the only unique miRNA which has a target gene in the Indian SARS-CoV2 genome. We also predicted immune epitopes in the genomes
has issue date	2020-03-21(xsd:dateTime)
bibo:doi	10.1101/2020.03.21.001586
has license	biorxiv
sha1sum (hex)	42fab1f2799333f2377045ec8f07eb31d08e8b2b
schema:url	https://doi.org/10.1101/2020.03.21.001586
resource representing a document's title	Comparative analyses of SAR-CoV2 genomes from different geographical locations and other coronavirus family genomes reveals unique features potentially consequential to host-virus interaction and pathogenesis
schema:publication	bioRxiv
resource representing a document's body	covid:42fab1f2799333f2377045ec8f07eb31d08e8b2b#body_text
is schema:about of	named entity 'coronavirus disease 2019' named entity 'genes' named entity 'mutations' named entity 'SARS-CoV' named entity 'genomes' named entity 'host' named entity 'spike' named entity 'miRNA' named entity 'genomes' named entity 'geographical' named entity 'OUR' named entity 'ANALYSIS' named entity 'CONTROLLING' named entity 'TARGET GENE' named entity 'HAVE' named entity 'TARGETS' covid:arg/42fab1f2799333f2377045ec8f07eb31d08e8b2b named entity 'genomes' named entity 'family' named entity 'level' named entity 'performed' named entity 'geographical' named entity 'host' named entity 'features' named entity 'viral pathogenesis' named entity 'features' named entity 'order' named entity 'genomes' named entity 'SARS-CoV2' named entity 'antiviral' named entity 'genomes' named entity 'glycoprotein' named entity 'viral infection' named entity 'immunogenic' named entity 'severe acute respiratory syndrome coronavirus 2' named entity 'MERS' named entity 'mutation' named entity 'genome' named entity 'target gene' named entity 'virus' named entity 'SARS-CoV2' named entity 'SARS-CoV' named entity 'miRNAs' named entity 'phylogeny' named entity 'glycoprotein' named entity 'miRNAs' named entity 'coronavirus' named entity 'virus' named entity 'genomes' named entity 'Italy' named entity 'amino acid' named entity 'genomes' named entity 'SARS-CoV' named entity 'genome' named entity 'symbiosis' named entity 'Wuhan' named entity 'receptor binding domain' named entity 'Italy' named entity 'Wuhan' named entity 'epitopes' named entity 'parasitism' named entity 'bioinformatics' named entity 'Italy' named entity 'miRNA' named entity 'miRNAs' named entity 'hsa' named entity 'miRNA' named entity 'nucleotide sequence' named entity 'miRNAs' named entity 'amidation' named entity 'antiviral' named entity 'CTL' named entity 'virus genes' named entity 'SARS-CoV2' named entity 'target sites' named entity 'SARS-CoV' named entity 'China' named entity 'India' named entity 'immune response' named entity 'India'

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