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Unraveling multifaceted contributions of small regulatory RNAs to photomorphogenic development in Arabidopsis

Overview of attention for article published in BMC Genomics, July 2017
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Title
Unraveling multifaceted contributions of small regulatory RNAs to photomorphogenic development in Arabidopsis
Published in
BMC Genomics, July 2017
DOI 10.1186/s12864-017-3937-6
Pubmed ID
Authors

Meng-Chun Lin, Huang-Lung Tsai, Sim-Lin Lim, Shih-Tong Jeng, Shu-Hsing Wu

Abstract

Post-transcriptional control of gene expression mediated by small regulatory RNAs (sRNAs) is vital for growth and development of diverse organisms. The biogenesis of sRNAs is regulated by both positive and negative regulators known to regulate photomorphogenic development. Two microRNAs (miRNAs), miR157 and miR319, also regulate photomorphogenesis. However, genome-wide profiling of sRNAs and their regulation of target genes during photomorphogenesis has been missing. We provide a comprehensive view of sRNA-controlled gene expression in this developmental process. By profiling sRNAs and the 5' ends of degraded mRNAs during the first 24 h of photomorphogenic development in Arabidopsis, we identified 335 sRNA-mediated mRNA cleavage events in de-etiolating seedlings. These cleavage events are primarily resulted from actions of highly expressed miRNAs and irrelevant to the abundance of target mRNAs. In the light, the expression of the slicer protein gene ARGONAUTE1 in the miRNA functioning pathway could be fine-tuned by miRNA168a/b. We also found that miR396a/b positively regulates de-etiolation by suppressing GROWTH REGULATING FACTORs. Our results suggest that the miRNAs are required to tune down the target mRNAs and regulate photomorphogenesis. sRNAs may have a broad impact on gene expression regulation for optimized photomorphogenic development. With both positive and negative regulators under the control of sRNAs, young Arabidopsis seedlings can have a timely but not exaggerated developmental adaptation to light.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Ph. D. Student 4 27%
Student > Bachelor 3 20%
Student > Master 1 7%
Lecturer > Senior Lecturer 1 7%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 60%
Biochemistry, Genetics and Molecular Biology 2 13%
Psychology 1 7%
Materials Science 1 7%
Unknown 2 13%

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 20 March 2018.
All research outputs
#9,721,714
of 12,680,099 outputs
Outputs from BMC Genomics
#5,346
of 7,469 outputs
Outputs of similar age
#177,566
of 263,748 outputs
Outputs of similar age from BMC Genomics
#5
of 5 outputs
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