Evidence map›Paper›PMID 30206806›Full record

ArticleVirus genes2018

Molecular characterization and detection of a new closterovirus identified from blackcurrant by high-throughput sequencing.

Luping Zheng, Liping Wu, Joseph Postman, Huawei Liu, Ruhui Li

Abstract read
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In one paragraph

Article in Virus genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Pest categorisation of non-EU viruses ofEFSA journal. European Food Safety Authority · 2019
    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

5 authors.

Luping ZhengUSDA-ARS, National Germplasm Resources Laboratory, Beltsville, MD, 20705, USA.
Liping WuUSDA-ARS, National Germplasm Resources Laboratory, Beltsville, MD, 20705, USA.
Joseph PostmanUSDA-ARS, National Clonal Germplasm Repository, Corvallis, OR, 97333, USA.
Huawei LiuUSDA-ARS, National Germplasm Resources Laboratory, Beltsville, MD, 20705, USA.
Ruhui LiUSDA-ARS, National Germplasm Resources Laboratory, Beltsville, MD, 20705, USA. Ruhui.li@ars.usda.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two large contigs with high sequence similarities to several closteroviruses were identified by high-throughput sequencing from a blackcurrant plant. The complete genome of this new virus was determined to be 17,320 nucleotides. Its genome contains ten open reading frames (ORF) that include, in the 5'-3' direction, a large ORF encoding a putative viral polyprotein (ORF 1a) and nine ORFs that encode RNA-dependent RNA polymerase (RdRp, ORF 1b), p6 (ORF 2), heat shock protein 70-like protein (Hsp70h, ORF 3), Hsp-90-like protein (p61, ORF 4), CP minor (ORF 5), CP (ORF 6), p17 (ORF 7), p11 (ORF 8), and p26 (ORF 9), respectively. BCCV-1 shares nucleotide sequence identities of 43-45% with other 9 closteroviruses at genome sequences. The amino acid sequence identities between BCCV-1 and the closteroviruses were 49-55% (RdRp), 37-41% (Hsp70h), 19-33% (p61), 26-38% (CPm), and 19-28% (CP), respectively. Phylogenetic analysis of Hsp70h sequences placed the new virus with members of genus Closterovirus in the same group. The results indicate that this new virus, which is provisionally named as Blackcurrant closterovirus 1, should represent a new species of the genus Closterovirus. A RT-PCR was developed and used to detect BCCV-1 in more germplasm accessions of Ribes spp.

Indexed as

PhylogenyClosterovirusGenome, ViralHSP70 Heat-Shock ProteinsMolecular Sequence AnnotationRibesHSP70 Heat-Shock ProteinsBlackcurrant closterovirus 1Molecular characterizationRibes spp.RT-PCR detection

Identifiers

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Registered trials

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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.