Evidence map›Paper›PMID 32425493›Full record

ArticleEvolutionary bioinformatics online2020

Analysis of Codon Usage and Nucleotide Bias in Middle East Respiratory Syndrome Coronavirus Genes.

Snawar Hussain, Pottathil Shinu, Mohammed Monirul Islam, Muhammad Shahzad Chohan, Sahibzada Tasleem Rasool

Open access · goldAbstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Snawar HussainDepartment of Biomedical Science, College of Clinical Pharmacy, King Faisal University, Al-Ahsa, Kingdom of Saudi Arabia.ORCID https://orcid.org/0000-0002-9765-0565
Pottathil ShinuDepartment of Biomedical Science, College of Clinical Pharmacy, King Faisal University, Al-Ahsa, Kingdom of Saudi Arabia.
Mohammed Monirul IslamDepartment of Biomedical Science, College of Clinical Pharmacy, King Faisal University, Al-Ahsa, Kingdom of Saudi Arabia.
Muhammad Shahzad ChohanDepartment of Biomedical Science, College of Clinical Pharmacy, King Faisal University, Al-Ahsa, Kingdom of Saudi Arabia.
Sahibzada Tasleem RasoolDepartment of Biomedical Science, College of Clinical Pharmacy, King Faisal University, Al-Ahsa, Kingdom of Saudi Arabia.
King Faisal University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Middle East Respiratory Syndrome (MERS) is an emerging disease caused by a recently identified human coronavirus (CoV). Over 2494 laboratory-confirmed cases and 858 MERS-related deaths have been reported from 27 countries. MERS-CoV has been associated with a high case fatality rate, especially in patients with pre-existing conditions. Despite the fatal nature of MERS-CoV infection, a comprehensive study to explore its evolution and adaptation in different hosts is lacking. We performed codon usage analyses on 4751 MERS-CoV genes and determined underlying forces that affect the codon usage bias in the MERS-CoV genome. The current analyses revealed a low but highly conserved, gene-specific codon usage bias in the MERS-CoV genome. The codon usage bias is mainly shaped by natural selection, while mutational pressure emerged as a minor factor affecting codon usage in some genes. Other contributory factors included CpG dinucleotide bias, physical and chemical properties of encoded proteins and gene length. Results reported in this study provide considerable insights into the molecular evaluation of MERS-CoV and could serve as a theoretical basis for optimizing MERS-CoV gene expression to study the functional relevance of various MERS-CoV proteins. Alternatively, an attenuated vaccine strain containing hundreds of silent mutations could be engineered. Codon de-optimization will not affect the amino acid sequence or antigenicity of a vaccine strain, but the sheer number of mutations would make viral reversion to a virulent phenotype extremely unlikely.

Indexed as

codon usage biasMiddle East respiratory syndrome coronavirusmutational biasnatural selectionvirus evolution

Identifiers

PMID32425493
PMCPMC7218340
OpenAlexW3023386138

What OpenQuestion holds

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LicenceCC BY-NC
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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.