Evidence map›Paper›PMID 32854725›Full record

ArticleVirology journal2020

Characterization of accessory genes in coronavirus genomes.

Christian Jean Michel, Claudine Mayer, Olivier Poch, Julie Dawn Thompson

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

116 citing papers in PubMed, 1 synthesis or guideline pooled it, 177 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Anti-interferon armamentarium of human coronaviruses.Cellular and molecular life sciences : CMLS · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Analysis of the structure and interactions of the SARS-CoV-2 ORF7b accessory protein.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. COVID-19 Vaccine mRNA Biodistribution: Maternal and Fetal Exposure Risks.American journal of reproductive immunology (New York, N.Y. : 1989) · 2024
    Review
  13. Review
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56 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Christian Jean MichelLaboratoire ICube, Department of Computer Science, CNRS, University of Strasbourg, F-67412, Strasbourg, France.
Claudine MayerLaboratoire ICube, Department of Computer Science, CNRS, University of Strasbourg, F-67412, Strasbourg, France.
Olivier PochLaboratoire ICube, Department of Computer Science, CNRS, University of Strasbourg, F-67412, Strasbourg, France.
Julie Dawn ThompsonLaboratoire ICube, Department of Computer Science, CNRS, University of Strasbourg, F-67412, Strasbourg, France. thompson@unistra.fr.ORCID 0000-0003-4893-3478
Centre National de la Recherche Scientifique · FR

Funding

Agence Nationale de la Recherche ANR-11-INBS-0013Agence Nationale de la Recherche ANR-18-RAR3-0006-02Horizon 2020 Framework Programme GA-676559
6 · The paper itself

Abstract

backgroundThe Covid19 infection is caused by the SARS-CoV-2 virus, a novel member of the coronavirus (CoV) family. CoV genomes code for a ORF1a / ORF1ab polyprotein and four structural proteins widely studied as major drug targets. The genomes also contain a variable number of open reading frames (ORFs) coding for accessory proteins that are not essential for virus replication, but appear to have a role in pathogenesis. The accessory proteins have been less well characterized and are difficult to predict by classical bioinformatics methods.

methodsWe propose a computational tool GOFIX to characterize potential ORFs in virus genomes. In particular, ORF coding potential is estimated by searching for enrichment in motifs of the X circular code, that is known to be over-represented in the reading frames of viral genes.

resultsWe applied GOFIX to study the SARS-CoV-2 and related genomes including SARS-CoV and SARS-like viruses from bat, civet and pangolin hosts, focusing on the accessory proteins. Our analysis provides evidence supporting the presence of overlapping ORFs 7b, 9b and 9c in all the genomes and thus helps to resolve some differences in current genome annotations. In contrast, we predict that ORF3b is not functional in all genomes. Novel putative ORFs were also predicted, including a truncated form of the ORF10 previously identified in SARS-CoV-2 and a little known ORF overlapping the Spike protein in Civet-CoV and SARS-CoV.

conclusionsOur findings contribute to characterizing sequence properties of accessory genes of SARS coronaviruses, and especially the newly acquired genes making use of overlapping reading frames.

Indexed as

Genome, ViralOpen Reading FramesAnimalsBetacoronavirusCodonComputational BiologyEvolution, MolecularGenes, ViralHumansSARS-CoV-2Severe acute respiratory syndrome-related coronavirusSpike Glycoprotein, CoronavirusViral Matrix ProteinsViral ProteinsViral Regulatory and Accessory ProteinsCodonORF8 protein, SARS-CoV-2sars7a protein, SARS virusSpike Glycoprotein, CoronavirusViral Matrix ProteinsViral ProteinsViral Regulatory and Accessory ProteinsAccessory genesCircular code motifsCoronavirusCOVID-19ORF predictionSARS-CoVSARS-CoV-2

Identifiers

PMID32854725
PMCPMC7450977
OpenAlexW3080513721

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.