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

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...

Full description

Bibliographic Details
Main Authors: Roshan Kumar, Helianthous Verma, Nirjara Singhvi, Utkarsh Sood, Vipin Gupta, Mona Singh, Rashmi Kumari, Princy Hira, Shekhar Nagar, Chandni Talwar, Namita Nayyar, Shailly Anand, Charu Dogra Rawat, Mansi Verma, Ram Krishan Negi, Yogendra Singh, Rup Lal
Format: Article
Language:English
Published: American Society for Microbiology 2020-07-01
Series:mSystems
Subjects:
Online Access:https://doi.org/10.1128/mSystems.00505-20
id doaj-80d25f97db3e4b9bbc3b66dee4e5ff8c
record_format Article
spelling doaj-80d25f97db3e4b9bbc3b66dee4e5ff8c2020-11-25T03:18:42ZengAmerican Society for MicrobiologymSystems2379-50772020-07-0154e00505-2010.1128/mSystems.00505-20Comparative Genomic Analysis of Rapidly Evolving SARS-CoV-2 Reveals Mosaic Pattern of Phylogeographical DistributionRoshan KumarHelianthous VermaNirjara SinghviUtkarsh SoodVipin GuptaMona SinghRashmi KumariPrincy HiraShekhar NagarChandni TalwarNamita NayyarShailly AnandCharu Dogra RawatMansi VermaRam Krishan NegiYogendra SinghRup LalThe 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.The outbreak of coronavirus disease 2019 (COVID-19) that started in Wuhan, China, in December 2019 has spread worldwide, emerging as a global pandemic. The severe respiratory pneumonia caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has so far claimed more than 0.38 million lives and has impacted human lives worldwide. However, as the novel SARS-CoV-2 virus displays high transmission rates, the underlying genomic severity is required to be fully understood. We studied the complete genomes of 95 SARS-CoV-2 strains from different geographical regions worldwide to uncover the pattern of the spread of the virus. We show that there is no direct transmission pattern of the virus among neighboring countries, suggesting that its spread is a result of travel of infected humans to different countries. We revealed unique single nucleotide polymorphisms (SNPs) in nonstructural protein 13 (nsp13), nsp14, nsp15, and nsp16 (ORF1b polyproteins) and in the S-protein within 10 viral isolates from the United States. These viral proteins are involved in RNA replication and binding with the human receptors, indicating that the viral variants that are circulating in the population of the United States are different from those circulating in the populations of other countries. In addition, we found an amino acid addition in nsp16 (mRNA cap-1 methyltransferase) of a U.S. isolate (GenBank accession no. MT188341.1) leading to a shift in the amino acid frame from position 2540 onward. Through comparative structural analysis of the wild-type and mutant proteins, we showed that this addition of a phenylalanine residue renders the protein in the mutant less stable, which might affect mRNA cap-1 methyltransferase function. We further analyzed the SARS-CoV-2–human interactome, which revealed that the interferon signaling pathway is targeted by orf1ab during infection and that it also interacts with NF-κB-repressing factor (NKRF), which is a potential regulator of interleukin-8 (IL-8). We propose that targeting this interaction may subsequently improve the health condition of COVID-19 patients. Our analysis also emphasized that SARS-CoV-2 manipulates spliceosome machinery during infection; hence, targeting splicing might affect viral replication. In conclusion, the replicative machinery of SARS-CoV-2 is targeting interferon and the notch signaling pathway along with spliceosome machinery to evade host challenges.https://doi.org/10.1128/mSystems.00505-20covid-2019sars-cov-2viruses
collection DOAJ
language English
format Article
sources DOAJ
author Roshan Kumar
Helianthous Verma
Nirjara Singhvi
Utkarsh Sood
Vipin Gupta
Mona Singh
Rashmi Kumari
Princy Hira
Shekhar Nagar
Chandni Talwar
Namita Nayyar
Shailly Anand
Charu Dogra Rawat
Mansi Verma
Ram Krishan Negi
Yogendra Singh
Rup Lal
spellingShingle Roshan Kumar
Helianthous Verma
Nirjara Singhvi
Utkarsh Sood
Vipin Gupta
Mona Singh
Rashmi Kumari
Princy Hira
Shekhar Nagar
Chandni Talwar
Namita Nayyar
Shailly Anand
Charu Dogra Rawat
Mansi Verma
Ram Krishan Negi
Yogendra Singh
Rup Lal
Comparative Genomic Analysis of Rapidly Evolving SARS-CoV-2 Reveals Mosaic Pattern of Phylogeographical Distribution
mSystems
covid-2019
sars-cov-2
viruses
author_facet Roshan Kumar
Helianthous Verma
Nirjara Singhvi
Utkarsh Sood
Vipin Gupta
Mona Singh
Rashmi Kumari
Princy Hira
Shekhar Nagar
Chandni Talwar
Namita Nayyar
Shailly Anand
Charu Dogra Rawat
Mansi Verma
Ram Krishan Negi
Yogendra Singh
Rup Lal
author_sort Roshan Kumar
title Comparative Genomic Analysis of Rapidly Evolving SARS-CoV-2 Reveals Mosaic Pattern of Phylogeographical Distribution
title_short Comparative Genomic Analysis of Rapidly Evolving SARS-CoV-2 Reveals Mosaic Pattern of Phylogeographical Distribution
title_full Comparative Genomic Analysis of Rapidly Evolving SARS-CoV-2 Reveals Mosaic Pattern of Phylogeographical Distribution
title_fullStr Comparative Genomic Analysis of Rapidly Evolving SARS-CoV-2 Reveals Mosaic Pattern of Phylogeographical Distribution
title_full_unstemmed Comparative Genomic Analysis of Rapidly Evolving SARS-CoV-2 Reveals Mosaic Pattern of Phylogeographical Distribution
title_sort comparative genomic analysis of rapidly evolving sars-cov-2 reveals mosaic pattern of phylogeographical distribution
publisher American Society for Microbiology
series mSystems
issn 2379-5077
publishDate 2020-07-01
description 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.The outbreak of coronavirus disease 2019 (COVID-19) that started in Wuhan, China, in December 2019 has spread worldwide, emerging as a global pandemic. The severe respiratory pneumonia caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has so far claimed more than 0.38 million lives and has impacted human lives worldwide. However, as the novel SARS-CoV-2 virus displays high transmission rates, the underlying genomic severity is required to be fully understood. We studied the complete genomes of 95 SARS-CoV-2 strains from different geographical regions worldwide to uncover the pattern of the spread of the virus. We show that there is no direct transmission pattern of the virus among neighboring countries, suggesting that its spread is a result of travel of infected humans to different countries. We revealed unique single nucleotide polymorphisms (SNPs) in nonstructural protein 13 (nsp13), nsp14, nsp15, and nsp16 (ORF1b polyproteins) and in the S-protein within 10 viral isolates from the United States. These viral proteins are involved in RNA replication and binding with the human receptors, indicating that the viral variants that are circulating in the population of the United States are different from those circulating in the populations of other countries. In addition, we found an amino acid addition in nsp16 (mRNA cap-1 methyltransferase) of a U.S. isolate (GenBank accession no. MT188341.1) leading to a shift in the amino acid frame from position 2540 onward. Through comparative structural analysis of the wild-type and mutant proteins, we showed that this addition of a phenylalanine residue renders the protein in the mutant less stable, which might affect mRNA cap-1 methyltransferase function. We further analyzed the SARS-CoV-2–human interactome, which revealed that the interferon signaling pathway is targeted by orf1ab during infection and that it also interacts with NF-κB-repressing factor (NKRF), which is a potential regulator of interleukin-8 (IL-8). We propose that targeting this interaction may subsequently improve the health condition of COVID-19 patients. Our analysis also emphasized that SARS-CoV-2 manipulates spliceosome machinery during infection; hence, targeting splicing might affect viral replication. In conclusion, the replicative machinery of SARS-CoV-2 is targeting interferon and the notch signaling pathway along with spliceosome machinery to evade host challenges.
topic covid-2019
sars-cov-2
viruses
url https://doi.org/10.1128/mSystems.00505-20
work_keys_str_mv AT roshankumar comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT helianthousverma comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT nirjarasinghvi comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT utkarshsood comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT vipingupta comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT monasingh comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT rashmikumari comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT princyhira comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT shekharnagar comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT chandnitalwar comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT namitanayyar comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT shaillyanand comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT charudograrawat comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT mansiverma comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT ramkrishannegi comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT yogendrasingh comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
AT ruplal comparativegenomicanalysisofrapidlyevolvingsarscov2revealsmosaicpatternofphylogeographicaldistribution
_version_ 1715251386404306944