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Combined small RNA and degradome sequencing to identify miRNAs and their targets in response to drought in foxtail millet

Overview of attention for article published in BMC Genomic Data, April 2016
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Title
Combined small RNA and degradome sequencing to identify miRNAs and their targets in response to drought in foxtail millet
Published in
BMC Genomic Data, April 2016
DOI 10.1186/s12863-016-0364-7
Pubmed ID
Authors

Yongqiang Wang, Lin Li, Sha Tang, Jianguang Liu, Hanshuang Zhang, Hui Zhi, Guanqing Jia, Xianmin Diao

Abstract

Foxtail millet (Setaria italica) is a diploid C4 panicoid species. Because of its prominent drought resistance, small genome size, self-pollination, and short life cycle, foxtail millet has become an ideal model system for studying drought tolerance of crops. MicroRNAs (miRNAs) are endogenous, small RNAs that play important regulatory roles in the development and stress response in plants. In this study, we applied Illumina sequencing to systematically investigate the drought-responsive miRNAs derived from S. italica inbred An04-4783 seedlings grown under control and drought conditions. Degradome sequencing was applied to confirm the targets of these miRNAs at a global level. A total of 81 known miRNAs belonging to 28 families were identified, among which 14 miRNAs were upregulated and four were downregulated in response to drought. In addition, 72 potential novel miRNAs were identified, three of which were differentially expressed under drought conditions. Degradome sequencing analysis showed that 56 and 26 genes were identified as targets of known and novel miRNAs, respectively. Our analysis revealed post-transcriptional remodeling of cell development, transcription factors, ABA signaling, and cellar homeostasis in S.italica in response to drought. This preliminary characterization provided useful information for further studies on the regulatory networks of drought-responsive miRNAs in foxtail millet.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 7 13%
Student > Master 5 9%
Student > Doctoral Student 3 6%
Professor > Associate Professor 3 6%
Other 9 17%
Unknown 16 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 37%
Biochemistry, Genetics and Molecular Biology 12 22%
Chemical Engineering 1 2%
Psychology 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 18 33%
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 14 April 2016.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from BMC Genomic Data
#861
of 1,204 outputs
Outputs of similar age
#235,711
of 316,306 outputs
Outputs of similar age from BMC Genomic Data
#16
of 20 outputs
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