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Transcriptome profiling of drought responsive noncoding RNAs and their target genes in rice

Overview of attention for article published in BMC Genomics, August 2016
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Title
Transcriptome profiling of drought responsive noncoding RNAs and their target genes in rice
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-2997-3
Pubmed ID
Authors

Pil Joong Chung, Harin Jung, Dong-Hoon Jeong, Sun-Hwa Ha, Yang Do Choi, Ju-Kon Kim

Abstract

Plant transcriptome profiling has provided a tool for understanding the mechanisms by which plants respond to stress conditions. Analysis of genome-wide transcriptome will provides a useful dataset of drought responsive noncoding RNAs and their candidate target genes that may be involved in drought stress responses. Here RNA-seq analyses of leaves from drought stressed rice plants was performed, producing differential expression profiles of noncoding RNAs. We found that the transcript levels of 66 miRNAs changed significantly in response to drought conditions and that they were negatively correlated with putative target genes during the treatments. The negative correlations were further validated by qRT-PCR using total RNAs from both drought-treated leaves and various tissues at different developmental stages. The drought responsive miRNA/target pairs were confirmed by the presence of decay intermediates generated by miRNA-guided cleavages in Parallel Analysis of RNA Ends (PARE) libraries. We observed that the precursor miR171f produced two different mature miRNAs, miR171f-5p and miR171f-3p with 4 candidate target genes, the former of which was responsive to drought conditions. We found that the expression levels of the miR171f precursor negatively correlated with those of one candidate target gene, but not with the others, suggesting that miR171f-5p was drought-responsive, with Os03g0828701-00 being a likely target. Pre-miRNA expression profiling indicated that miR171f is involved in the progression of rice root development and growth, as well as the response to drought stress. Ninety-eight lncRNAs were also identified, together with their corresponding antisense transcripts, some of which were responsive to drought conditions. We identified rice noncoding RNAs (66 miRNAs and 98 lncRNAs), whose expression was highly regulated by drought stress conditions, and whose transcript levels negatively correlated with putative target genes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 90 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Researcher 19 21%
Student > Bachelor 9 10%
Student > Master 8 9%
Student > Doctoral Student 5 5%
Other 10 11%
Unknown 20 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 55%
Biochemistry, Genetics and Molecular Biology 17 19%
Psychology 1 1%
Sports and Recreations 1 1%
Medicine and Dentistry 1 1%
Other 0 0%
Unknown 21 23%
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 11 August 2016.
All research outputs
#18,467,278
of 22,882,389 outputs
Outputs from BMC Genomics
#8,197
of 10,668 outputs
Outputs of similar age
#281,515
of 364,241 outputs
Outputs of similar age from BMC Genomics
#217
of 267 outputs
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So far Altmetric has tracked 10,668 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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