Evidence map›Paper›PMID 32723797›Full record

ArticlemSystems2020

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

Roshan Kumar, Helianthous Verma, Nirjara Singhvi, Utkarsh Sood, Vipin Gupta, Mona Singh, Rashmi Kumari, Princy Hira, Shekhar Nagar, Chandni Talwar and 7 more

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
1.8field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. SARS-CoV-2-Specific Immune Response and the Pathogenesis of COVID-19.International journal of molecular sciences · 2022
    Review
  16. Review
  17. Article
  18. Molecular pathways involved in COVID-19 and potential pathway-based therapeutic targets.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 1 country.

Roshan KumarP.G. Department of Zoology, Magadh University, Bodh Gaya, Bihar, India.
Helianthous VermaDepartment of Zoology, Ramjas College, University of Delhi, Delhi, India.
Nirjara SinghviDepartment of Zoology, University of Delhi, Delhi, India.
Utkarsh SoodThe Energy and Resources Institute, New Delhi, India.
Vipin GuptaPhiXGen Private Limited, Gurugram, Haryana, India.
Mona SinghPhiXGen Private Limited, Gurugram, Haryana, India.
Rashmi KumariDepartment of Zoology, College of Commerce, Arts & Science, Patliputra University, Patna, Bihar, India.
Princy HiraDepartment of Zoology, Maitreyi College, University of Delhi, New Delhi, India.
Shekhar NagarDepartment of Zoology, University of Delhi, Delhi, India.
Chandni TalwarDepartment of Zoology, University of Delhi, Delhi, India.
Namita NayyarDepartment of Zoology, Sri Venkateswara College, University of Delhi, New Delhi, India.
Shailly AnandDepartment of Zoology, Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India.
Charu Dogra RawatDepartment of Zoology, Ramjas College, University of Delhi, Delhi, India.
Mansi VermaDepartment of Zoology, Sri Venkateswara College, University of Delhi, New Delhi, India.
Ram Krishan NegiDepartment of Zoology, University of Delhi, Delhi, India.
Yogendra SinghDepartment of Zoology, University of Delhi, Delhi, India.
Rup LalThe Energy and Resources Institute, New Delhi, India ruplal@gmail.com.ORCID https://orcid.org/0000-0001-8364-8547
University of Delhi · INEnergy and Resources Institute · INMagadh University · INPatliputra University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-2019SARS-CoV-2viruses

Identifiers

PMID32723797
PMCPMC7394360
OpenAlexW3046069898

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.