Evidence map›Paper›PMID 26175035›Full record

ReviewFEMS microbiology reviews2015

Ebolavirus comparative genomics.

Se-Ran Jun, Michael R Leuze, Intawat Nookaew, Edward C Uberbacher, Miriam Land, Qian Zhang, Visanu Wanchai, Juanjuan Chai, Morten Nielsen, Thomas Trolle and 5 more

Open access · hybridAbstract readReview
In one paragraph

Review in FEMS microbiology reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Conserved Filovirus Proteins as Targets of Broad-Spectrum Antivirals.bioRxiv : the preprint server for biology · 2025
    Article
  6. Review
  7. Article
  8. RNA Editing as a General Trait of Ebolaviruses.The Journal of infectious diseases · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Frontiers in microbiology · 2019
    Article
  19. Article
  20. Article
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

15 authors at 6 institutions in 4 countries.

Se-Ran JunComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA Joint Institute for Computational Sciences, University of Tennessee, Knoxville, TN 37996, USA.
Michael R LeuzeComputer Science and Mathematics Division, Computer Science Research Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Intawat NookaewComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Edward C UberbacherComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Miriam LandComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Qian ZhangComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37996, USA.
Visanu WanchaiComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Juanjuan ChaiComputer Science and Mathematics Division, Computer Science Research Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Morten NielsenCenter for Biological Sequence Analysis, Department of Systems Biology, The Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, San Martín, B 1650 HMP, Buenos Aires, Argentina.
Thomas TrolleCenter for Biological Sequence Analysis, Department of Systems Biology, The Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark.
Ole LundCenter for Biological Sequence Analysis, Department of Systems Biology, The Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark.
Gregory S BuzardBooze Allen Hamilton, McLean, VA 22101, USA.
Thomas D PedersenCenter for Biological Sequence Analysis, Department of Systems Biology, The Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark Assays, Cultures and Enzymes Division, Chr. Hansen A/S, Hørsholm, Denmark.
Trudy M WassenaarMolecular Microbiology and Genomics Consultants, Tannenstr 7, D-55576 Zotzenheim, Germany.
David W UsseryComparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37996, USA Center for Biological Sequence Analysis, Department of Systems Biology, The Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark usserydw@ornl.gov.
Oak Ridge National Laboratory · USTechnical University of Denmark · DKBooz Allen Hamilton (United States) · USMolecular Microbiology and Genomics Consultants (Germany) · DENational University of General San Martín · ARUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2014 Ebola outbreak in West Africa is the largest documented for this virus. To examine the dynamics of this genome, we compare more than 100 currently available ebolavirus genomes to each other and to other viral genomes. Based on oligomer frequency analysis, the family Filoviridae forms a distinct group from all other sequenced viral genomes. All filovirus genomes sequenced to date encode proteins with similar functions and gene order, although there is considerable divergence in sequences between the three genera Ebolavirus, Cuevavirus and Marburgvirus within the family Filoviridae. Whereas all ebolavirus genomes are quite similar (multiple sequences of the same strain are often identical), variation is most common in the intergenic regions and within specific areas of the genes encoding the glycoprotein (GP), nucleoprotein (NP) and polymerase (L). We predict regions that could contain epitope-binding sites, which might be good vaccine targets. This information, combined with glycosylation sites and experimentally determined epitopes, can identify the most promising regions for the development of therapeutic strategies.This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Indexed as

GenomicsEbolavirusFiloviridaeGenome, Viralcomparative genomicsEbolaEbola virus disease (EVD)epitope predictionFilovirusviral genomes

Identifiers

PMID26175035
PMCPMC4551310
OpenAlexW2100021633

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.