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Next-Generation Sequencing and Genome Editing in Plant Virology

Overview of attention for article published in Frontiers in Microbiology, August 2016
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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7 X users

Citations

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124 Dimensions

Readers on

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236 Mendeley
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Title
Next-Generation Sequencing and Genome Editing in Plant Virology
Published in
Frontiers in Microbiology, August 2016
DOI 10.3389/fmicb.2016.01325
Pubmed ID
Authors

Ahmed Hadidi, Ricardo Flores, Thierry Candresse, Marina Barba

Abstract

Next-generation sequencing (NGS) has been applied to plant virology since 2009. NGS provides highly efficient, rapid, low cost DNA, or RNA high-throughput sequencing of the genomes of plant viruses and viroids and of the specific small RNAs generated during the infection process. These small RNAs, which cover frequently the whole genome of the infectious agent, are 21-24 nt long and are known as vsRNAs for viruses and vd-sRNAs for viroids. NGS has been used in a number of studies in plant virology including, but not limited to, discovery of novel viruses and viroids as well as detection and identification of those pathogens already known, analysis of genome diversity and evolution, and study of pathogen epidemiology. The genome engineering editing method, clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 system has been successfully used recently to engineer resistance to DNA geminiviruses (family, Geminiviridae) by targeting different viral genome sequences in infected Nicotiana benthamiana or Arabidopsis plants. The DNA viruses targeted include tomato yellow leaf curl virus and merremia mosaic virus (begomovirus); beet curly top virus and beet severe curly top virus (curtovirus); and bean yellow dwarf virus (mastrevirus). The technique has also been used against the RNA viruses zucchini yellow mosaic virus, papaya ringspot virus and turnip mosaic virus (potyvirus) and cucumber vein yellowing virus (ipomovirus, family, Potyviridae) by targeting the translation initiation genes eIF4E in cucumber or Arabidopsis plants. From these recent advances of major importance, it is expected that NGS and CRISPR-Cas technologies will play a significant role in the very near future in advancing the field of plant virology and connecting it with other related fields of biology.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Costa Rica 1 <1%
Unknown 234 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 21%
Student > Ph. D. Student 48 20%
Student > Master 26 11%
Student > Bachelor 19 8%
Student > Doctoral Student 11 5%
Other 41 17%
Unknown 42 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 122 52%
Biochemistry, Genetics and Molecular Biology 43 18%
Medicine and Dentistry 4 2%
Environmental Science 4 2%
Chemical Engineering 2 <1%
Other 10 4%
Unknown 51 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 May 2017.
All research outputs
#7,487,068
of 22,886,568 outputs
Outputs from Frontiers in Microbiology
#8,207
of 24,928 outputs
Outputs of similar age
#117,913
of 338,621 outputs
Outputs of similar age from Frontiers in Microbiology
#182
of 426 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,928 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 65% 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 338,621 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 426 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.