Evidence map›Paper›PMID 32242873›Full record

ArticleThe Indian journal of medical research

Full-genome sequences of the first two SARS-CoV-2 viruses from India.

Pragya D Yadav, Varsha A Potdar, Manohar Lal Choudhary, Dimpal A Nyayanit, Megha Agrawal, Santosh M Jadhav, Triparna D Majumdar, Anita Shete-Aich, Atanu Basu, Priya Abraham and 1 more

Abstract read
In one paragraph

Article in The Indian journal of medical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

90 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Effect of heterologous intranasal iNCOVACCCommunications medicine · 2025
    Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Journal of biomolecular structure & dynamics · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Role of the Microbiome in the Pathogenesis of COVID-19.Frontiers in cellular and infection microbiology · 2022
    Review
  17. Article
  18. Article
  19. Review
  20. Article

30 more citing papers are in PubMed but not listed here.

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

11 authors.

Pragya D YadavMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Varsha A PotdarInfluenza Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Manohar Lal ChoudharyInfluenza Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Dimpal A NyayanitMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Megha AgrawalBioinformatics & Data Management Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Santosh M JadhavBioinformatics & Data Management Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Triparna D MajumdarMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Anita Shete-AichMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Atanu BasuElectron Microscopy & ICMR-National Institute of Virology, Pune, Maharashtra, India.
Priya AbrahamICMR-National Institute of Virology, Pune, Maharashtra, India.
Sarah S CherianBioinformatics & Data Management Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Since December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has globally affected 195 countries. In India, suspected cases were screened for SARS-CoV-2 as per the advisory of the Ministry of Health and Family Welfare. The objective of this study was to characterize SARS-CoV-2 sequences from three identified positive cases as on February 29, 2020. Methods: Throat swab/nasal swab specimens for a total of 881 suspected cases were screened by E gene and confirmed by RdRp (1), RdRp (2) and N gene real-time reverse transcription-polymerase chain reactions and next-generation sequencing. Phylogenetic analysis, molecular characterization and prediction of B- and T-cell epitopes for Indian SARS-CoV-2 sequences were undertaken. Results: Three cases with a travel history from Wuhan, China, were confirmed positive for SARS-CoV-2. Almost complete (29,851 nucleotides) genomes of case 1, case 3 and a fragmented genome for case 2 were obtained. The sequences of Indian SARS-CoV-2 though not identical showed high (~99.98%) identity with Wuhan seafood market pneumonia virus (accession number: NC 045512). Phylogenetic analysis showed that the Indian sequences belonged to different clusters. Predicted linear B-cell epitopes were found to be concentrated in the S1 domain of spike protein, and a conformational epitope was identified in the receptor-binding domain. The predicted T-cell epitopes showed broad human leucocyte antigen allele coverage of A and B supertypes predominant in the Indian population. Interpretation & conclusions: The two SARS-CoV-2 sequences obtained from India represent two different introductions into the country. The genetic heterogeneity is as noted globally. The identified B- and T-cell epitopes may be considered suitable for future experiments towards the design of vaccines and diagnostics. Continuous monitoring and analysis of the sequences of new cases from India and the other affected countries would be vital to understand the genetic evolution and rates of substitution of the SARS-CoV-2.

Indexed as

Genome, ViralBetacoronavirusCoronavirus InfectionsCOVID-19Epitopes, B-LymphocyteEpitopes, T-LymphocyteHumansIndiaModels, MolecularPandemicsPhylogenyPneumonia, ViralProtein Structure, TertiaryReverse Transcriptase Polymerase Chain ReactionRNA, ViralSARS-CoV-2Epitopes, B-LymphocyteEpitopes, T-LymphocyteRNA, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2EpitopegenomesIndiaKeralanext-generation sequencingphylogenyreal-time reverse transcription-polymerase chain reactionsevere acute respiratory syndrome coronavirus 2

Identifiers

PMID32242873
PMCPMC7258756

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Registered trials

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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.