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Changes in the composition of the RNA virome mark evolutionary transitions in green plants

Overview of attention for article published in BMC Biology, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

blogs
1 blog
twitter
13 tweeters

Citations

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24 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Changes in the composition of the RNA virome mark evolutionary transitions in green plants
Published in
BMC Biology, August 2016
DOI 10.1186/s12915-016-0288-8
Pubmed ID
Authors

Arcady Mushegian, Alexey Shipunov, Santiago F. Elena

Abstract

The known plant viruses mostly infect angiosperm hosts and have RNA or small DNA genomes. The only other lineage of green plants with a relatively well-studied virome, unicellular chlorophyte algae, is mostly infected by viruses with large DNA genomes. Thus RNA viruses and small DNA viruses seem to completely displace large DNA virus genomes in late branching angiosperms. To understand better the expansion of RNA viruses in the taxonomic span between algae and angiosperms, we analyzed the transcriptomes of 66 non-angiosperm plants characterized by the 1000 Plants Genomes Project. We found homologs of virus RNA-dependent RNA polymerases in 28 non-angiosperm plant species, including algae, mosses, liverworts (Marchantiophyta), hornworts (Anthocerotophyta), lycophytes, a horsetail Equisetum, and gymnosperms. Polymerase genes in algae were most closely related to homologs from double-stranded RNA viruses leading latent or persistent lifestyles. Land plants, in addition, contained polymerases close to the homologs from single-stranded RNA viruses of angiosperms, capable of productive infection and systemic spread. For several polymerases, a cognate capsid protein was found in the same library. Another virus hallmark gene family, encoding the 30 K movement proteins, was found in lycophytes and monilophytes but not in mosses or algae. The broadened repertoire of RNA viruses suggests that colonization of land and growth in anatomical complexity in land plants coincided with the acquisition of novel sets of viruses with different strategies of infection and reproduction.

Twitter Demographics

The data shown below were collected from the profiles of 13 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
Mexico 1 2%
United States 1 2%
United Kingdom 1 2%
Unknown 47 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 23%
Student > Ph. D. Student 9 17%
Researcher 9 17%
Professor > Associate Professor 5 10%
Student > Doctoral Student 5 10%
Other 8 15%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 50%
Biochemistry, Genetics and Molecular Biology 15 29%
Immunology and Microbiology 2 4%
Arts and Humanities 1 2%
Neuroscience 1 2%
Other 0 0%
Unknown 7 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 28 October 2017.
All research outputs
#1,572,170
of 15,918,484 outputs
Outputs from BMC Biology
#490
of 1,363 outputs
Outputs of similar age
#35,183
of 267,262 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 15,918,484 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,363 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 267,262 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them