Evidence map›Paper›PMID 26042093›Full record

ArticleFrontiers in microbiology2015

Welcome to pandoraviruses at the 'Fourth TRUC' club.

Vikas Sharma, Philippe Colson, Olivier Chabrol, Patrick Scheid, Pierre Pontarotti, Didier Raoult

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.7field-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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Why did some viruses evolve to be giants while others did not?Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Review
  3. Rhizomal Reclassification of Living Organisms.International journal of molecular sciences · 2021
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Jumbo Bacteriophages: An Overview.Frontiers in microbiology · 2017
    Article
  10. Giant Viruses of Amoebas: An Update.Frontiers in microbiology · 2016
    Review
  11. Review
  12. 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

6 authors at 3 institutions in 1 country.

Vikas SharmaUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes UM63 CNRS 7278, IRD 198, INSERM U1095, Faculté de Médecine, Aix-Marseille University Marseille, France ; I2M UMR 7373, CNRS équipe Evolution Biologique et Modélisation, Aix-Marseille University Marseille, France.
Philippe ColsonUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes UM63 CNRS 7278, IRD 198, INSERM U1095, Faculté de Médecine, Aix-Marseille University Marseille, France ; Institut Hospitalo-Universitaire Méditerranée Infection, Pôle des Maladies Infectieuses et Tropicales Clinique et Biologique, Fédération de Bactériologie-Hygiène-Virologie, Centre Hospitalo-Universitaire Timone, Assistance Publique-Hôpitaux de Marseille Marseille, France.
Olivier ChabrolI2M UMR 7373, CNRS équipe Evolution Biologique et Modélisation, Aix-Marseille University Marseille, France.
Patrick ScheidMedical Parasitology Laboratory, Laboratory Department I (Medicine), Diagnostics, Central Institute of the Bundeswehr Medical Service Koblenz, Germany.
Pierre PontarottiI2M UMR 7373, CNRS équipe Evolution Biologique et Modélisation, Aix-Marseille University Marseille, France.
Didier RaoultUnité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes UM63 CNRS 7278, IRD 198, INSERM U1095, Faculté de Médecine, Aix-Marseille University Marseille, France ; Institut Hospitalo-Universitaire Méditerranée Infection, Pôle des Maladies Infectieuses et Tropicales Clinique et Biologique, Fédération de Bactériologie-Hygiène-Virologie, Centre Hospitalo-Universitaire Timone, Assistance Publique-Hôpitaux de Marseille Marseille, France.
Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes · FRChâteau Gombert · FRInstitut de Mathématiques de Marseille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleocytoplasmic large DNA viruses, or representatives of the proposed order Megavirales, belong to families of giant viruses that infect a broad range of eukaryotic hosts. Megaviruses have been previously described to comprise a fourth monophylogenetic TRUC (things resisting uncompleted classification) together with cellular domains in the universal tree of life. Recently described pandoraviruses have large (1.9-2.5 MB) and highly divergent genomes. In the present study, we updated the classification of pandoraviruses and other reported giant viruses. Phylogenetic trees were constructed based on six informational genes. Hierarchical clustering was performed based on a set of informational genes from Megavirales members and cellular organisms. Homologous sequences were selected from cellular organisms using TimeTree software, comprising comprehensive, and representative sets of members from Bacteria, Archaea, and Eukarya. Phylogenetic analyses based on three conserved core genes clustered pandoraviruses with phycodnaviruses, exhibiting their close relatedness. Additionally, hierarchical clustering analyses based on informational genes grouped pandoraviruses with Megavirales members as a super group distinct from cellular organisms. Thus, the analyses based on core conserved genes revealed that pandoraviruses are new genuine members of the 'Fourth TRUC' club, encompassing distinct life forms compared with cellular organisms.

Indexed as

domains of lifegiant virusinformational genesMegaviralesnucleocytoplasmic large DNA virusesPandoravirusphylogenyTRUC

Identifiers

PMID26042093
PMCPMC4435241
OpenAlexW1574037146

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.