| Title |
Molecular characterization and detection of a new closterovirus identified from blackcurrant by high-throughput sequencing
|
|---|---|
| Published in |
Virus Genes, September 2018
|
| DOI | 10.1007/s11262-018-1598-4 |
| Pubmed ID | |
| Authors |
Luping Zheng, Liping Wu, Joseph Postman, Huawei Liu, Ruhui Li |
| 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. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 33% |
| Other | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 33% |
| Agricultural and Biological Sciences | 2 | 33% |
| Unknown | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 September 2018.
All research outputs
#18,649,291
of 23,103,436 outputs
Outputs from Virus Genes
#695
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Outputs of similar age
#259,141
of 337,559 outputs
Outputs of similar age from Virus Genes
#7
of 13 outputs
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