Evidence map›Paper›PMID 32317409›Full record

ArticleThe Indian journal of medical research

Detection of coronaviruses in

Pragya D Yadav, Anita Shete-Aich, Dimpal A Nyayanit, Prachi Pardeshi, Triparna Majumdar, R Balasubramanian, Padinjaremattathil Thankappan Ullas, Sreelekshmy Mohandas, Hitesh Dighe, Pradeep Sawant and 12 more

Open access · diamondAbstract 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 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
0.6field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. An Overview on the Zoonotic Aspects of COVID-19.Proceedings of the National Academy of Sciences, India. Section B · 2023
    Review
  7. Article
  8. Article
  9. Establishment of Intestinal Organoid fromInternational journal of molecular sciences · 2021
    Article
  10. Review
  11. Article
  12. Article
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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

22 authors at 2 institutions in 1 country.

Pragya D YadavMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Anita Shete-AichMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Dimpal A NyayanitMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Prachi PardeshiMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Triparna MajumdarMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
R BalasubramanianMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra; ICMR-National Institute of Virology Kerala Unit, Alappuzha, Kerala, India.
Padinjaremattathil Thankappan UllasDiagnostic Virology Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Sreelekshmy MohandasMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Hitesh DigheMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Pradeep SawantEnteric Virus Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Savita PatilMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Dilip PatilAnimal House, ICMR-National Institute of Virology, Pune, Maharashtra, India.
M D GokhaleEntomology Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Basavaraj MathapatiPoliovirus Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.
A B SudeepEntomology Group, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Sreekant BaradkarMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Abhimanyu KumarMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Rutuja KhardeMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Malvika SalveMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Yash JoshiMaximum Containment Laboratory, ICMR-National Institute of Virology, Pune, Maharashtra, India.
Nivedita GuptaDivision of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Devendra T MouryaICMR-National Institute of Virology, Pune, Maharashtra, India.
ICMR-National Institute of Virology · INIndian Council of Medical Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Bats are considered to be the natural reservoir for many viruses, of which some are potential human pathogens. In India, an association of Pteropus medius bats with the Nipah virus was reported in the past. It is suspected that the recently emerged severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) also has its association with bats. To assess the presence of CoVs in bats, we performed identification and characterization of bat CoV (BtCoV) in P. medius and Rousettus species from representative States in India, collected during 2018 and 2019. Methods: Representative rectal swab (RS) and throat swab specimens of Pteropus and Rousettus spp. bats were screened for CoVs using a pan-CoV reverse transcription-polymerase chain reaction (RT-PCR) targeting the RNA-dependent RNA polymerase (RdRp) gene. A single-step RT-PCR was performed on the RNA extracted from the bat specimens. Next-generation sequencing (NGS) was performed on a few representative bat specimens that were tested positive. Phylogenetic analysis was carried out on the partial sequences of RdRp gene sequences retrieved from both the bat species and complete viral genomes recovered from Rousettus spp. Results: Bat samples from the seven States were screened, and the RS specimens of eight Rousettus spp. and 21 Pteropus spp. were found positive for CoV RdRp gene. Among these, by Sanger sequencing, partial RdRp sequences could be retrieved from three Rousettus and eight Pteropus bat specimens. Phylogenetic analysis of the partial RdRp region demonstrated distinct subclustering of the BtCoV sequences retrieved from these Rousettus and Pteropus spp. bats. NGS led to the recovery of four sequences covering approximately 94.3 per cent of the whole genome of the BtCoVs from Rousettus bats. Three BtCoV sequences had 93.69 per cent identity to CoV BtRt-BetaCoV/GX2018. The fourth BtCoV sequence was 96.8 per cent identical to BtCoV HKU9-1. Interpretation & conclusions: This study was a step towards understanding the CoV circulation in Indian bats. Detection of potentially pathogenic CoVs in Indian bats stresses the need for enhanced screening for novel viruses in them. One Health approach with collaborative activities by the animal health and human health sectors in these surveillance activities shall be of use to public health. This would help in the development of diagnostic assays for novel viruses with outbreak potential and be useful in disease interventions. Proactive surveillance remains crucial for identifying the emerging novel viruses with epidemic potential and measures for risk mitigation.

Indexed as

Genome, ViralAnimalsChiropteraCoronavirusHigh-Throughput Nucleotide SequencingIndiaPhylogenyReverse Transcriptase Polymerase Chain ReactionBatscoronavirusIndianext-generation sequencingphylogeneticreverse transcription-polymerase chain reaction

Identifiers

PMID32317409
PMCPMC7366549
OpenAlexW3016408185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.