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The complete genomic sequence of Sugarcane mosaic virus from Canna spp. in China

Overview of attention for article published in Virology Journal, September 2018
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Title
The complete genomic sequence of Sugarcane mosaic virus from Canna spp. in China
Published in
Virology Journal, September 2018
DOI 10.1186/s12985-018-1058-8
Pubmed ID
Authors

W Tang, Z-Y Yan, T-S Zhu, X-J Xu, X -D Li, Y-P Tian

Abstract

Sugarcane mosaic virus (SCMV) is the prevalent virus inducing maize dwarf mosaic and sugarcane mosaic diseases in China. According to the phylogenetic results of the complete genomic and coat protein gene sequences, SCMV was divided into four or five molecular groups, respectively. Previously, we detected SCMV isolates of group SO from Canna spp. in Ji'nan, Shandong province, China. In this study, we collected two SCMV isolates infecting Canna spp. in Ji'nan (Canna-Ji'nan) and Tai'an (Canna-Tai'an) of Shandong, China. Their complete genome sequences had genome of 9576 nucleotides and contained a large open reading frame encoding a polyprotein of 3063 amino acids. The phylogenetic analysis showed that the both Canna-Ji'nan and Canna-Tai'an were clustered into an independent group based on the complete genome sequence. In this study, we report the complete genome sequences of SCMV infecting Canna spp. from Ji'nan and Tai'an. This is the first report on SCMV belonging to SO group.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 29%
Professor 1 14%
Student > Ph. D. Student 1 14%
Student > Postgraduate 1 14%
Unknown 2 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 43%
Biochemistry, Genetics and Molecular Biology 2 29%
Unknown 2 29%

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 26 September 2018.
All research outputs
#10,348,534
of 13,560,184 outputs
Outputs from Virology Journal
#1,566
of 2,197 outputs
Outputs of similar age
#184,537
of 264,893 outputs
Outputs of similar age from Virology Journal
#1
of 1 outputs
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