Comparative Genomic Analysis of Rapidly Evolving SARS-CoV-2 Reveals Mosaic Pattern of Phylogeographical Distribution-Reference-Cited by-同舟云学术

Comparative Genomic Analysis of Rapidly Evolving SARS-CoV-2 Reveals Mosaic Pattern of Phylogeographical Distribution

Published:2020-08-25 Issue:4 Volume:5 Page:
ISSN:2379-5077
Container-title:mSystems
language:en
Short-container-title:mSystems

Author:

Kumar Roshan¹,Verma Helianthous²,Singhvi Nirjara³,Sood Utkarsh⁴,Gupta Vipin⁵,Singh Mona⁵,Kumari Rashmi⁶,Hira Princy⁷,Nagar Shekhar³,Talwar Chandni³,Nayyar Namita⁸,Anand Shailly⁹,Rawat Charu Dogra²,Verma Mansi⁸,Negi Ram Krishan³,Singh Yogendra³,Lal Rup⁴^ORCID

Affiliation:

1. P.G. Department of Zoology, Magadh University, Bodh Gaya, Bihar, India

2. Department of Zoology, Ramjas College, University of Delhi, Delhi, India

3. Department of Zoology, University of Delhi, Delhi, India

4. The Energy and Resources Institute, New Delhi, India

5. PhiXGen Private Limited, Gurugram, Haryana, India

6. Department of Zoology, College of Commerce, Arts & Science, Patliputra University, Patna, Bihar, India

7. Department of Zoology, Maitreyi College, University of Delhi, New Delhi, India

8. Department of Zoology, Sri Venkateswara College, University of Delhi, New Delhi, India

9. Department of Zoology, Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India

Abstract

The COVID-19 pandemic continues to storm the world, with over 6.5 million cases worldwide. The severity of the disease varies with the territories and is mainly influenced by population density and age factor. In this study, we analyzed the transmission pattern of 95 SARS-CoV-2 genomes isolated from 11 different countries. Our study also revealed several nonsynonymous mutations in ORF1b and S-proteins and the impact on their structural stability. Our analysis showed the manipulation of host system by viral proteins through SARS-CoV-2–human protein interactome, which can be useful to understand the impact of virus on human health.

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

Link

https://journals.asm.org/doi/pdf/10.1128/mSystems.00505-20

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