Evidence map›Paper›PMID 22392626›Full record

ArticleVirus genes2012

Analysis of two strains of Peanut stunt virus: satRNA-associated and satRNA free.

Aleksandra Obrępalska-Stęplowska, Marta Budziszewska, Przemysław Wieczorek, Anna Czerwoniec

Abstract read
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In one paragraph

Article in Virus genes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Complete Genome Sequences of SevenMicrobiology resource announcements · 2018
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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 3 institutions in 3 countries.

Aleksandra Obrępalska-StęplowskaInterdepartmental Laboratory of Molecular Biology, Institute of Plant Protection-National Research Institute, Poznan, Poland. olaob@o2.pl
Marta Budziszewska
Przemysław Wieczorek
Anna Czerwoniec
Institute of Plant Protection · CNAdam Mickiewicz University in Poznań · PLMRC Laboratory of Molecular Biology · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peanut stunt virus (PSV) is a pathogen of legumes, vegetables, trees, and weeds occurring worldwide. The species is characterized by significant genetic variability. PSV strains are classified into four subgroups on the basis of their nucleotide sequence homology. Here, we are presenting two further, fully sequenced PSV strains-PSV-Ag and PSV-G, that could be considered as I subgroup representatives. However, their sequence homology with other typical I subgroups members, similarly as another strain-PSV-P, characterized by our group previously, is lower than 90%. This lead us to propose further subdivision of the I subgroup into IA, IB, and IC units, and to classify PSV-Ag and PSV-G strains to the last one. In this article, we are showing that identity level of PSV-Ag and PSV-G is very high and apart from the presence of satRNA in the first one, they differ only by a few nucleotides in their genomic RNAs. Nevertheless, symptoms they cause on host plants might differ significantly, just as the levels in infected plants. Effect of single amino acid changes between strains on the three-dimensional structure of viral proteins was analyzed. Differences occur mainly on the protein surfaces which can possibly affect protein-protein interaction in infected cells, which is discussed.

Indexed as

Genome, ViralArachisCluster AnalysisCucumovirusMolecular Sequence DataNicotianaPhylogenyPlant DiseasesRNA, SatelliteRNA, ViralSequence Analysis, DNASequence Homology, Nucleic AcidRNA, SatelliteRNA, Viral

Identifiers

PMID22392626
OpenAlexW1987039046

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.