Evidence map›Paper›PMID 32036428›Full record

ArticleArchives of virology2020

Codon usage pattern and its influencing factors in different genomes of hepadnaviruses.

Bornali Deb, Arif Uddin, Supriyo Chakraborty

Open access · bronzeAbstract read
In one paragraph

Article in Archives of virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 63 citations in OpenAlex.

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  11. Codon usage bias analysis of theFrontiers in genetics · 2025
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  12. Review
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  16. Article
  17. Codon usage bias.Molecular biology reports · 2022
    Review
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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

3 authors at 1 institution in 1 country.

Bornali DebDepartment of Biotechnology, Assam University, Silchar, 788150, Assam, India.
Arif UddinDepartment of Zoology, Moinul Hoque Choudhury Memorial Science College, Algapur, Hailakandi, 788150, Assam, India.
Supriyo ChakrabortyDepartment of Biotechnology, Assam University, Silchar, 788150, Assam, India. supriyoch_2008@rediffmail.com.ORCID http://orcid.org/0000-0002-5996-2760
Assam University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Codon usage bias (CUB) arises from the preference for a codon over codons for the same amino acid. The major factors contributing to CUB are evolutionary forces, compositional properties, gene expression, and protein properties. The present analysis was performed to investigate the compositional properties and the extent of CUB across the genomes of members of the family Hepadnaviridae, as previously no work using bioinformatic tools has been reported. The viral genes were found to be AT rich with low CUB. Analysis of relative synonymous codon usage (RSCU) was used to identify overrepresented and underrepresented codons for each amino acid. Correlation analysis of overall nucleotide composition and its composition at the third codon position suggested that mutation pressure might influence the CUB. A highly significant correlation was observed between GC12 and GC3 (r = 0.910, p < 0.01), indicating that directional mutation affected all three codon positions across the genome. Translational selection (P2) and mutational responsive index (MRI) values of genes suggested that mutation plays a more important role than translational selection in members of the family Hepadnaviridae.

Indexed as

Codon UsageBiological EvolutionGene Expression Regulation, ViralGenome, ViralHepadnaviridaeMutationRNA, MessengerRNA, ViralSpecies SpecificityViral ProteinsRNA, MessengerRNA, ViralViral Proteins

Identifiers

PMID32036428
PMCPMC7086886
OpenAlexW3004723916

What OpenQuestion holds

Textmetadata
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.