Evidence map›Paper›PMID 33575894›Full record

ArticleArchives of virology2021

Molecular characterization of a novel partitivirus hosted by the false morel mushroom Gyromitra esculenta.

Ergin Sahin, Emre Keskin, Ilgaz Akata

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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.

Ergin SahinFaculty of Science Department of Biology, Ankara University, 06100, Tandogan, Ankara, Turkey. erginsahin@ankara.edu.tr.ORCID http://orcid.org/0000-0003-1711-738X
Emre KeskinEvolutionary Genetics Laboratory (eGL), Faculty of Agriculture Department of Fisheries and Aquaculture, Ankara University, 06110, Dışkapı, Ankara, Turkey.
Ilgaz AkataFaculty of Science Department of Biology, Ankara University, 06100, Tandogan, Ankara, Turkey.
Ankara University · TR

Funding

Ankara University, Coordinatorship of Scientific Research Projects 19H0430004
6 · The paper itself

Abstract

Virus populations of uncultivated fungi remain scarcely studied. In the present study, we characterized a new partitivirus isolated from the false morel mushroom Gyromitra esculenta, named "Gyromitra esculenta partitivirus 1" (GePV1). The complete genome of GePV1, whose sequence was determined by combining high-throughput sequencing and RLM-RACE approaches, comprises two dsRNA segments of 1971 bp and 1799 bp, respectively. Each dsRNA genome segment contains a single open reading frame (ORF), encoding a putative RNA-dependent RNA polymerase (RdRp) and a capsid protein (CP), respectively. The sequences of the RdRp and CP exhibited the highest similarity (69.77% and 47.00% identity, respectively) to those of Rosellinia necatrix partitivirus 2 (RnPV2). Phylogenetic analysis based on the CP and RdRp sequences demonstrated that GePV1 clusters within a clade that includes members of the genus Alphapartitivirus, family Partitiviridae. We propose that GePV1 is a new member of the genus Alphapartitivirus. This is the first study reporting on a new partitivirus identified in the false morel mushroom Gyromitra esculenta.

Indexed as

Amino Acid SequenceAscomycotaBase SequenceCapsid ProteinsDouble Stranded RNA VirusesFungal VirusesGenome, ViralOpen Reading FramesPhylogenyRNA-Dependent RNA PolymeraseRNA, ViralViral ProteinsCapsid ProteinsRNA-Dependent RNA PolymeraseRNA, ViralViral Proteins

Identifiers

PMID33575894
OpenAlexW3127380756

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.