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Transgenic strategies to confer resistance against viruses in rice plants

Overview of attention for article published in Frontiers in Microbiology, January 2014
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Title
Transgenic strategies to confer resistance against viruses in rice plants
Published in
Frontiers in Microbiology, January 2014
DOI 10.3389/fmicb.2013.00409
Pubmed ID
Authors

Takahide Sasaya, Eiko Nakazono-Nagaoka, Hiroaki Saika, Hideyuki Aoki, Akihiro Hiraguri, Osamu Netsu, Tamaki Uehara-Ichiki, Masatoshi Onuki, Seichi Toki, Koji Saito, Osamu Yatou

Abstract

Rice (Oryza sativa L.) is cultivated in more than 100 countries and supports nearly half of the world's population. Developing efficient methods to control rice viruses is thus an urgent necessity because viruses cause serious losses in rice yield. Most rice viruses are transmitted by insect vectors, notably planthoppers and leafhoppers. Viruliferous insect vectors can disperse their viruses over relatively long distances, and eradication of the viruses is very difficult once they become widespread. Exploitation of natural genetic sources of resistance is one of the most effective approaches to protect crops from virus infection; however, only a few naturally occurring rice genes confer resistance against rice viruses. Many investigators are using genetic engineering of rice plants as a potential strategy to control viral diseases. Using viral genes to confer pathogen-derived resistance against crops is a well-established procedure, and the expression of various viral gene products has proved to be effective in preventing or reducing infection by various plant viruses since the 1990s. RNA interference (RNAi), also known as RNA silencing, is one of the most efficient methods to confer resistance against plant viruses on their respective crops. In this article, we review the recent progress, mainly conducted by our research group, in transgenic strategies to confer resistance against tenuiviruses and reoviruses in rice plants. Our findings also illustrate that not all RNAi constructs against viral RNAs are equally effective in preventing virus infection and that it is important to identify the viral "Achilles' heel" gene to target for RNAi attack when engineering plants.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Netherlands 1 1%
France 1 1%
India 1 1%
Argentina 1 1%
Spain 1 1%
United States 1 1%
Unknown 90 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 21%
Student > Ph. D. Student 17 18%
Student > Master 14 14%
Student > Bachelor 12 12%
Other 6 6%
Other 10 10%
Unknown 18 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 58%
Biochemistry, Genetics and Molecular Biology 15 15%
Engineering 3 3%
Social Sciences 2 2%
Business, Management and Accounting 1 1%
Other 2 2%
Unknown 18 19%
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 13 January 2014.
All research outputs
#20,216,580
of 22,739,983 outputs
Outputs from Frontiers in Microbiology
#22,196
of 24,603 outputs
Outputs of similar age
#264,751
of 305,211 outputs
Outputs of similar age from Frontiers in Microbiology
#64
of 87 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,603 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% 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 305,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.