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Contribution of Small RNA Pathway to Interactions of Rice with Pathogens and Insect Pests

Overview of attention for article published in Rice, February 2021
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Mentioned by

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4 tweeters

Citations

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6 Dimensions

Readers on

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28 Mendeley
Title
Contribution of Small RNA Pathway to Interactions of Rice with Pathogens and Insect Pests
Published in
Rice, February 2021
DOI 10.1186/s12284-021-00458-z
Pubmed ID
Authors

Qin Feng, Yan Li, Zhi-Xue Zhao, Wen-Ming Wang

Abstract

Small RNAs (sRNAs) are mainly classified into microRNAs (miRNAs) and small interfering RNAs (siRNAs) according to their origin. miRNAs originate from single-stranded RNA precursors, whereas siRNAs originate from double-stranded RNA precursors that are synthesized by RNA-dependent RNA polymerases. Both of single-stranded and double-stranded RNA precursors are processed into sRNAs by Dicer-like proteins. Then, the sRNAs are loaded into ARGONAUTE proteins, forming RNA-induced silencing complexes (RISCs). The RISCs repress the expression of target genes with sequences complementary to the sRNAs through the cleavage of transcripts, the inhibition of translation or DNA methylation. Here, we summarize the recent progress of sRNA pathway in the interactions of rice with various parasitic organisms, including fungi, viruses, bacteria, as well as insects. Besides, we also discuss the hormone signal in sRNA pathway, and the emerging roles of circular RNAs and long non-coding RNAs in rice immunity. Obviously, small RNA pathway may act as a part of rice innate immunity to coordinate with growth and development.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Researcher 4 14%
Student > Bachelor 3 11%
Student > Ph. D. Student 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 10 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 32%
Biochemistry, Genetics and Molecular Biology 4 14%
Unspecified 1 4%
Immunology and Microbiology 1 4%
Social Sciences 1 4%
Other 0 0%
Unknown 12 43%

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 07 February 2021.
All research outputs
#12,509,661
of 20,233,537 outputs
Outputs from Rice
#128
of 345 outputs
Outputs of similar age
#213,445
of 404,671 outputs
Outputs of similar age from Rice
#1
of 1 outputs
Altmetric has tracked 20,233,537 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 345 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 60% 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 404,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
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