Evidence map›Paper›PMID 34578428›Full record

ArticleViruses2021

Evolutionary Signatures Governing the Codon Usage Bias in Coronaviruses and Their Implications for Viruses Infecting Various Bat Species.

Naveen Kumar, Rahul Kaushik, Chandana Tennakoon, Vladimir N Uversky, Anamika Mishra, Richa Sood, Pratiksha Srivastava, Meghna Tripathi, Kam Y J Zhang, Sandeep Bhatia

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 59 citations in OpenAlex.

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  8. The origins of COVID-19 pandemic: A brief overview.Transboundary and emerging diseases · 2022
    Review
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  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

10 authors at 4 institutions in 5 countries.

Naveen KumarZoonotic Diseases Group, ICAR-National Institute of High Security Animal Diseases, Bhopal 462022, India.ORCID 0000-0002-3326-5465
Rahul KaushikLaboratory for Structural Bioinformatics, Center for Biosystems Dynamics Research, RIKEN, 1-7-22 Suehiro, Yokohama, Kanagawa 230-0045, Japan.ORCID 0000-0002-6489-6913
Chandana TennakoonBioinformatics, Sequencing & Proteomics Group, The Pirbright Institute, Woking GU24 0NF, UK.
Vladimir N UverskyDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.ORCID 0000-0002-4037-5857
Anamika MishraZoonotic Diseases Group, ICAR-National Institute of High Security Animal Diseases, Bhopal 462022, India.
Richa SoodZoonotic Diseases Group, ICAR-National Institute of High Security Animal Diseases, Bhopal 462022, India.
Pratiksha SrivastavaZoonotic Diseases Group, ICAR-National Institute of High Security Animal Diseases, Bhopal 462022, India.
Meghna TripathiZoonotic Diseases Group, ICAR-National Institute of High Security Animal Diseases, Bhopal 462022, India.
Kam Y J ZhangLaboratory for Structural Bioinformatics, Center for Biosystems Dynamics Research, RIKEN, 1-7-22 Suehiro, Yokohama, Kanagawa 230-0045, Japan.ORCID 0000-0002-9282-8045
Sandeep BhatiaZoonotic Diseases Group, ICAR-National Institute of High Security Animal Diseases, Bhopal 462022, India.
National Institute of High Security Animal Diseases · INRIKEN Center for Biosystems Dynamics Research · JPThe Pirbright Institute · GBUniversity of South Florida · US

Funding

Biotechnology and Biological Sciences Research Council BBS/E/I/00007038Biotechnology and Biological Sciences Research Council BBS/E/I/00007038, and BBS/E/I/00007039Biotechnology and Biological Sciences Research Council BBS/E/I/00007039Japan Society for the Promotion of Science 18H02395National Agricultural Science Fund, India NASF/ABA-8028/2020-21
6 · The paper itself

Abstract

Many viruses that cause serious diseases in humans and animals, including the betacoronaviruses (beta-CoVs), such as SARS-CoV, MERS-CoV, and the recently identified SARS-CoV-2, have natural reservoirs in bats. Because these viruses rely entirely on the host cellular machinery for survival, their evolution is likely to be guided by the link between the codon usage of the virus and that of its host. As a result, specific cellular microenvironments of the diverse hosts and/or host tissues imprint peculiar molecular signatures in virus genomes. Our study is aimed at deciphering some of these signatures. Using a variety of genetic methods we demonstrated that trends in codon usage across chiroptera-hosted CoVs are collaboratively driven by geographically different host-species and temporal-spatial distribution. We not only found that chiroptera-hosted CoVs are the ancestors of SARS-CoV-2, but we also revealed that SARS-CoV-2 has the codon usage characteristics similar to those seen in CoVs infecting the

Indexed as

Codon UsageEvolution, MolecularAnimalsChiropteraCoronavirusFurinGenetic VariationGenome, ViralFurinbatscodon usagecoronavirusesCpG dinucleotideevolutionSARS-CoV-2

Identifiers

PMID34578428
PMCPMC8473330
OpenAlexW3199069395

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.