↓ Skip to main content

Analysis of genetic variation and diversity of Rice stripe virus populations through high-throughput sequencing

Overview of attention for article published in Frontiers in Plant Science, March 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
36 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Analysis of genetic variation and diversity of Rice stripe virus populations through high-throughput sequencing
Published in
Frontiers in Plant Science, March 2015
DOI 10.3389/fpls.2015.00176
Pubmed ID
Authors

Lingzhe Huang, Zefeng Li, Jianxiang Wu, Yi Xu, Xiuling Yang, Longjiang Fan, Rongxiang Fang, Xueping Zhou

Abstract

Plant RNA viruses often generate diverse populations in their host plants through error-prone replication and recombination. Recent studies on the genetic diversity of plant RNA viruses in various host plants have provided valuable information about RNA virus evolution and emergence of new diseases caused by RNA viruses. We analyzed and compared the genetic diversity of Rice stripe virus (RSV) populations in Oryza sativa (a natural host of RSV) and compared it with that of the RSV populations generated in an infection of Nicotiana benthamiana, an experimental host of RSV, using the high-throughput sequencing technology. From infected O. sativa and N. benthamiana plants, a total of 341 and 1675 site substitutions were identified in the RSV genome, respectively, and the average substitution ratio in these sites was 1.47 and 7.05 %, respectively, indicating that the RSV populations from infected N. benthamiana plant are more diverse than those from infected O. sativa plant. Our result gives a direct evidence that virus might allow higher genetic diversity for host adaptation.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 28%
Student > Ph. D. Student 8 22%
Student > Bachelor 2 6%
Professor 2 6%
Student > Doctoral Student 2 6%
Other 8 22%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 47%
Biochemistry, Genetics and Molecular Biology 6 17%
Nursing and Health Professions 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 9 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 April 2015.
All research outputs
#17,082,023
of 25,880,948 outputs
Outputs from Frontiers in Plant Science
#11,156
of 24,954 outputs
Outputs of similar age
#162,163
of 279,313 outputs
Outputs of similar age from Frontiers in Plant Science
#116
of 253 outputs
Altmetric has tracked 25,880,948 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,954 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 279,313 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 253 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.