Evidence map›Paper›PMID 32294518›Full record

ArticleVirus research2020

A comprehensive analysis of genome composition and codon usage patterns of emerging coronaviruses.

Fernando L Tort, Matías Castells, Juan Cristina

Open access · greenAbstract readComparative Study
In one paragraph

Article in Virus research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.1field-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

35 citing papers in PubMed, 101 citations in OpenAlex.

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  15. Bilirubin levels as an independent predictor of myocarditis in patients with COVID-19.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2021
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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.

Fernando L TortLaboratorio de Virología Molecular, Sede Salto, Centro Universitario Regional, Litoral Norte, Universidad de la República, Gral. Rivera 1350, 50000, Salto, Uruguay.
Matías CastellsLaboratorio de Virología Molecular, Sede Salto, Centro Universitario Regional, Litoral Norte, Universidad de la República, Gral. Rivera 1350, 50000, Salto, Uruguay.
Juan CristinaLaboratorio de Virología Molecular, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo, 11400, Uruguay. Electronic address: cristina@cin.edu.uy.
Universidad de la República · UY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An outbreak of atypical pneumonia caused by a novel Betacoronavirus (βCoV), named SARS-CoV-2 has been declared a public health emergency of international concern by the World Health Organization. In order to gain insight into the emergence, evolution and adaptation of SARS-CoV-2 viruses, a comprehensive analysis of genome composition and codon usage of βCoV circulating in China was performed. A biased nucleotide composition was found for SARS-CoV-2 genome. This bias in genomic composition is reflected in its codon and amino acid usage patterns. The overall codon usage in SARS-CoV-2 is similar among themselves and slightly biased. Most of the highly frequent codons are A- and U-ending, which strongly suggests that mutational bias is the main force shaping codon usage in this virus. Significant differences in relative synonymous codon usage frequencies among SARS-CoV-2 and human cells were found. These differences are due to codon usage preferences.

Indexed as

GenomicsAmino AcidsAnimalsBetacoronavirusChinaChiropteraCodon UsageCommunicable Diseases, EmergingCoronavirus InfectionsEvolution, MolecularFerretsGene Expression Regulation, ViralGenome, ViralHumansMutagenesisOpen Reading FramesAmino Acids2019-nCoVCodon usageCoronavirusEvolutionSARS-CoV-2Wuhan

Identifiers

PMID32294518
PMCPMC7152894
OpenAlexW3015622879

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.