Literature DB >> 33622851

Comparative Genomics and Integrated Network Approach Unveiled Undirected Phylogeny Patterns, Co-mutational Hot Spots, Functional Cross Talk, and Regulatory Interactions in SARS-CoV-2.

Vipin Gupta1, Shazia Haider2, Mansi Verma3, Nirjara Singhvi4, Kalaisaran Ponnusamy5, Md Zubbair Malik6, Helianthous Verma7, Roshan Kumar8, Utkarsh Sood9, Princy Hira1, Shiva Satija3, Yogendra Singh4, Rup Lal10.   

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has resulted in 92 million cases in a span of 1 year. The study focuses on understanding population-specific variations attributing its high rate of infections in specific geographical regions particularly in the United States. Rigorous phylogenomic network analysis of complete SARS-CoV-2 genomes (245) inferred five central clades named a (ancestral), b, c, d, and e (subtypes e1 and e2). Clade d and subclade e2 were found exclusively comprised of U.S. strains. Clades were distinguished by 10 co-mutational combinations in Nsp3, ORF8, Nsp13, S, Nsp12, Nsp2, and Nsp6. Our analysis revealed that only 67.46% of single nucleotide polymorphism (SNP) mutations were at the amino acid level. T1103P mutation in Nsp3 was predicted to increase protein stability in 238 strains except for 6 strains which were marked as ancestral type, whereas co-mutation (P409L and Y446C) in Nsp13 were found in 64 genomes from the United States highlighting its 100% co-occurrence. Docking highlighted mutation (D614G) caused reduction in binding of spike proteins with angiotensin-converting enzyme 2 (ACE2), but it also showed better interaction with the TMPRSS2 receptor contributing to high transmissibility among U.S. strains. We also found host proteins, MYO5A, MYO5B, and MYO5C, that had maximum interaction with viral proteins (nucleocapsid [N], spike [S], and membrane [M] proteins). Thus, blocking the internalization pathway by inhibiting MYO5 proteins which could be an effective target for coronavirus disease 2019 (COVID-19) treatment. The functional annotations of the host-pathogen interaction (HPI) network were found to be closely associated with hypoxia and thrombotic conditions, confirming the vulnerability and severity of infection. We also screened CpG islands in Nsp1 and N conferring the ability of SARS-CoV-2 to enter and trigger zinc antiviral protein (ZAP) activity inside the host cell.IMPORTANCE In the current study, we presented a global view of mutational pattern observed in SARS-CoV-2 virus transmission. This provided a who-infect-whom geographical model since the early pandemic. This is hitherto the most comprehensive comparative genomics analysis of full-length genomes for co-mutations at different geographical regions especially in U.S. strains. Compositional structural biology results suggested that mutations have a balance of opposing forces affecting pathogenicity suggesting that only a few mutations are effective at the translation level. Novel HPI analysis and CpG predictions elucidate the proof of concept of hypoxia and thrombotic conditions in several patients. Thus, the current study focuses the understanding of population-specific variations attributing a high rate of SARS-CoV-2 infections in specific geographical regions which may eventually be vital for the most severely affected countries and regions for sharp development of custom-made vindication strategies.
Copyright © 2021 Gupta et al.

Entities:  

Keywords:  SARS-CoV-2; comparative genomics; mutational studies; phylogenomics; phylogeny; structural biology

Year:  2021        PMID: 33622851     DOI: 10.1128/mSystems.00030-21

Source DB:  PubMed          Journal:  mSystems        ISSN: 2379-5077            Impact factor:   6.496


  7 in total

1.  A database for retrieving information on SARS-CoV-2 S protein mutations based on correlation network analysis.

Authors:  Yoshiyuki Ogata; Ruri Kitayama
Journal:  BMC Genom Data       Date:  2022-05-04

2.  Pharmacophore screening to identify natural origin compounds to target RNA-dependent RNA polymerase (RdRp) of SARS-CoV2.

Authors:  Avinash Mishra; Anurag S Rathore
Journal:  Mol Divers       Date:  2022-01-09       Impact factor: 3.364

Review 3.  Multiomics integration-based molecular characterizations of COVID-19.

Authors:  Chuan-Xing Li; Jing Gao; Zicheng Zhang; Lu Chen; Xun Li; Meng Zhou; Åsa M Wheelock
Journal:  Brief Bioinform       Date:  2022-01-17       Impact factor: 11.622

4.  Conserved molecular signatures in the spike protein provide evidence indicating the origin of SARS-CoV-2 and a Pangolin-CoV (MP789) by recombination(s) between specific lineages of Sarbecoviruses.

Authors:  Bijendra Khadka; Radhey S Gupta
Journal:  PeerJ       Date:  2021-11-12       Impact factor: 2.984

5.  A Bioinformatics Approach to Identifying Potential Biomarkers for Cryptosporidium parvum: A Coccidian Parasite Associated with Fetal Diarrhea.

Authors:  Mumdooh J Sabir; Ross Low; Neil Hall; Majid Rasool Kamli; Md Zubbair Malik
Journal:  Vaccines (Basel)       Date:  2021-12-02

6.  Multi-Targeted Approaches and Drug Repurposing Reveal Possible SARS-CoV-2 Inhibitors.

Authors:  Khalid Mashay Alanazi; Mohammad Abul Farah; Yan-Yan Hor
Journal:  Vaccines (Basel)       Date:  2021-12-26

7.  Conserved Molecular Signatures in the Spike, Nucleocapsid, and Polymerase Proteins Specific for the Genus Betacoronavirus and Its Different Subgenera.

Authors:  Radhey S Gupta; Bijendra Khadka
Journal:  Genes (Basel)       Date:  2022-02-25       Impact factor: 4.096

  7 in total

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