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Profile of siRNAs derived from green fluorescent protein (GFP)-tagged Papaya leaf distortion mosaic virus in infected papaya plants

Overview of attention for article published in Virus Genes, September 2018
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Title
Profile of siRNAs derived from green fluorescent protein (GFP)-tagged Papaya leaf distortion mosaic virus in infected papaya plants
Published in
Virus Genes, September 2018
DOI 10.1007/s11262-018-1601-0
Pubmed ID
Authors

Guangyuan Zhao, Decai Tuo, Pu Yan, Xiaoying Li, Peng Zhou, Wentao Shen

Abstract

We used green fluorescent protein (GFP)-tagged Papaya leaf distortion mosaic virus (PLDMV-GFP) to track PLDMV infection by fluorescence. The virus-derived small interfering RNAs (vsiRNAs) of PLDMV-GFP were characterized from papaya plants by next-generation sequencing. The foreign GFP gene inserted into the PLDMV genome was also processed as a viral gene into siRNAs by components involved in RNA silencing. The siRNAs derived from PLDMV-GFP accumulated preferentially as 21- and 22-nucleotide (nt) lengths, and most of the 5'-terminal ends were biased towards uridine (U) and adenosine (A). The single-nucleotide resolution map revealed that vsiRNAs were heterogeneously distributed throughout the PLDMV-GFP genome, and vsiRNAs derived from the sense strand were more abundant than those from the antisense strand. The hotspots were mainly distributed in the P1 and GFP coding region of the antisense strand. In addition, 979 papaya genes targeted by the most abundant 1000 PLDMV-GFP vsiRNAs were predicted and annotated using GO and KEGG classification. Results suggest that vsiRNAs play key roles in PLDMV-papaya interactions. These data on the characterization of PLDMV-GFP vsiRNAs will help to provide insight into the function of vsiRNAs and their host target regulation patterns.

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Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 20%
Unknown 4 80%
Readers by discipline Count As %
Computer Science 1 20%
Agricultural and Biological Sciences 1 20%
Unknown 3 60%
Attention Score in Context

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 16 September 2018.
All research outputs
#18,649,291
of 23,103,436 outputs
Outputs from Virus Genes
#695
of 978 outputs
Outputs of similar age
#258,957
of 337,432 outputs
Outputs of similar age from Virus Genes
#7
of 13 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 978 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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