Evidence map›Paper›PMID 25656063›Full record

ArticleVirus research2015

On the biased nucleotide composition of the human coronavirus RNA genome.

Ben Berkhout, Formijn van Hemert

Open access · greenAbstract read
In one paragraph

Article in Virus research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

37 citing papers in PubMed, 59 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

2 authors at 2 institutions in 1 country.

Ben BerkhoutLaboratory of Experimental Virology, Department of Medical Microbiology, Center for Infection and Immunity Amsterdam (CINIMA), Academic Medical Center, University of Amsterdam, The Netherlands. Electronic address: b.berkhout@amc.uva.nl.
Formijn van HemertLaboratory of Experimental Virology, Department of Medical Microbiology, Center for Infection and Immunity Amsterdam (CINIMA), Academic Medical Center, University of Amsterdam, The Netherlands.
Academic Medical Center · NLUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the nucleotide composition of the RNA genome of the six human coronaviruses. Some general coronavirus characteristics were apparent (e.g. high U, low C count), but we also detected species-specific signatures. Most strikingly, the high U and low C proportions are quite variable and act like communicating vessels, C goes down when U goes up and vice versa. U ranges among virus isolates from 30.7% to 40.3%, and C makes the opposite movement from 20.0% to 12.9%, respectively. The nucleotide biases are more pronounced in the unpaired regions of the structured RNA genome, which may suggest a certain biological function for these distinctive sequence signatures. Coronaviruses have an atypical codon usage that has been linked to mutational events operating on the viral RNA genome on an evolutionary time scale. We suggest that the atypical nucleotide bias may serve a distinct biological function and that it is the direct cause of the characteristic codon usage in these viruses. The relevance for evolution of the novel human pathogens MERS and SARS is discussed.

Indexed as

Base CompositionGenome, ViralHumansMiddle East Respiratory Syndrome CoronavirusNucleotidesProtein BiosynthesisRNA, ViralSevere acute respiratory syndrome-related coronavirusViral ProteinsNucleotidesRNA, ViralViral ProteinsCoronavirusMERSNucleotide signatureRNA genomeSARS

Identifiers

PMID25656063
PMCPMC7114406
OpenAlexW2000772900

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.