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Exploration of microRNAs and their targets engaging in the resistance interaction between wheat and stripe rust

Overview of attention for article published in Frontiers in Plant Science, June 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Title
Exploration of microRNAs and their targets engaging in the resistance interaction between wheat and stripe rust
Published in
Frontiers in Plant Science, June 2015
DOI 10.3389/fpls.2015.00469
Pubmed ID
Authors

Hao Feng, Bing Wang, Qiong Zhang, Yanping Fu, Lili Huang, Xiaojie Wang, Zhensheng Kang

Abstract

Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is one of the most destructive diseases of wheat worldwide. miRNAs are important regulators, they play very central roles in plant organ development, vegetable phase change and defense responses. In this study, two miRNA libraries from wheat cultivar Xingzi 9104 (XZ) challenged with the avirulent Pst race CYR32 and sterile water were constructed, respectively. A total of 596 miRNA candidates were obtained. 420 wheat-specific candidate miRNAs were screened in adult plants challenged with Pst using microarray-based analyses. We analyzed the abundance of candidate miRNAs, and the levels of a subset of candidate miRNAs were determined by quantitative real time PCR (qRT-PCR). The qRT-PCR results indicated that some miRNAs were involved in the incompatible interaction between wheat and Pst. In addition, we identified some miRNAs differentially expressed in different leaves. Additionally, the target genes of wheat miRNAs were confirmed by using degradome sequencing technology. Most of the annotated target genes are related to signal transduction, energy metabolism, and other functions. We selected some target genes for relative expression analysis using qRT-PCR, and found that RabGAP/TBC domain-containing protein, zinc finger protein and Cysteine-rich receptor-like protein kinase 41 may play important role in the incompatible interaction between XZ and CYR32. Intriguingly, miRNAs and target gene seem to form a complicated regulation network that regulates the wheat-Pst interaction. Our data provide the foundation for evaluating the important regulatory roles of miRNAs in the wheat-Pst interaction.

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X Demographics

The data shown below were collected from the profiles of 6 X users 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 2%
United States 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 37%
Researcher 7 13%
Student > Master 4 8%
Student > Doctoral Student 3 6%
Lecturer 2 4%
Other 4 8%
Unknown 13 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 54%
Biochemistry, Genetics and Molecular Biology 10 19%
Business, Management and Accounting 1 2%
Materials Science 1 2%
Unknown 12 23%
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 17 July 2015.
All research outputs
#14,278,028
of 25,374,917 outputs
Outputs from Frontiers in Plant Science
#5,944
of 24,598 outputs
Outputs of similar age
#122,422
of 277,324 outputs
Outputs of similar age from Frontiers in Plant Science
#57
of 287 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,598 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 75% 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 277,324 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 55% of its contemporaries.
We're also able to compare this research output to 287 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.