Evidence map›Paper›PMID 38103104›Full record

ArticleVirus genes2024

Full-length genome characterization of a novel mitovirus isolated from the root rot fungus Armillaria mellea.

Sıla Erkmen, Ergin Sahin, Ilgaz Akata

Abstract read
PubMed Publisher
In one paragraph

Article in Virus genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Sıla ErkmenFaculty of Science, Department of Biology, Dokuz Eylul University, 35390, Buca, Izmir, Turkey.
Ergin SahinFaculty of Science, Department of Biology, Dokuz Eylul University, 35390, Buca, Izmir, Turkey. ergin.sahin@deu.edu.tr.
Ilgaz AkataFaculty of Science, Department of Biology, Ankara University, 06100, Tandogan, Ankara, Turkey.
Dokuz Eylül University · TRAnkara University · TR

Funding

Dokuz Eylül Üniversitesi FYL-2023-2956
6 · The paper itself

Abstract

Members of the genus Armillaria belong to the group of pathogenic and facultative saprotrophic fungi that are generally known as one of the causative agents of white root rot in infected plants including deciduous and evergreen trees and shrubs. Although several single-stranded RNA mycoviruses were previously described in different Armillaria species, there is no report on mitoviruses (one of the simplest RNA viruses of fungal hosts) known to infect Armillaria taxa. In this study, a new mitovirus denominated "Armillaria mellea mitovirus 1" (AmMV1) was identified in the sporophore samples of Armillaria mellea, commonly known as honey mushroom. AmMV1 has a genome length of 4440 nucleotides and a G + C content of 48%. It encompasses a single open reading frame (ORF) that encodes an RNA-dependent RNA polymerase (RdRp). Comparison through BLASTp analysis revealed that the RdRp domain of AmMV1 shares a sequence identity ranging from 33.43% to 43.27% with RdRp domains of Duamitovirus genus members, having the highest similarity (43.27%) to Rhizoctonia solani mitovirus 94. According to phylogenetic analysis, AmMV1 is classified as a member of the genus Duamitovirus belonging to the Mitoviridae family. This marks the initial instance of a mitovirus identified in Armillaria spp..

Indexed as

ArmillariaFungal VirusesRNA VirusesGenome, ViralOpen Reading FramesPhylogenyRNA-Dependent RNA PolymeraseRNA, ViralRNA-Dependent RNA PolymeraseRNA, ViralArmillaria melleaDuamitovirusMycovirusRoot rot

Identifiers

PMID38103104
OpenAlexW4389828390

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.