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Survey of High Throughput RNA-Seq Data Reveals Potential Roles for lncRNAs during Development and Stress Response in Bread Wheat

Overview of attention for article published in Frontiers in Plant Science, June 2017
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Title
Survey of High Throughput RNA-Seq Data Reveals Potential Roles for lncRNAs during Development and Stress Response in Bread Wheat
Published in
Frontiers in Plant Science, June 2017
DOI 10.3389/fpls.2017.01019
Pubmed ID
Authors

Shumayla, Shailesh Sharma, Mehak Taneja, Shivi Tyagi, Kashmir Singh, Santosh K. Upadhyay

Abstract

Long non-coding RNAs (lncRNAs) are a family of regulatory RNAs that play essential role in the various developmental processes and stress responses. Recent advances in sequencing technology and computational methods enabled identification and characterization of lncRNAs in certain plant species, but they are less known in Triticum aestivum (bread wheat). Herein, we analyzed 52 RNA seq data (>30 billion reads) and identified 44,698 lncRNAs in T. aestivum genome, which were characterized in comparison to the coding sequences (mRNAs). Similar to the mRNAs, lncRNAs were also derived from each sub-genome and chromosome, and showed tissue developmental stage specific and differential expression, as well. The modulated expression of lncRNAs during abiotic stresses like heat, drought, and salt indicated their putative role in stress response. The co-expression of lncRNAs with vital mRNAs including various transcription factors and enzymes involved in Abscisic acid (ABA) biosynthesis, and gene ontology mapping inferred their regulatory roles in numerous biological processes. A few lncRNAs were predicted as precursor (19 lncRNAs), while some as target mimics (1,047 lncRNAs) of known miRNAs involved in various regulatory functions. The results suggested numerous functions of lncRNAs in T. aestivum, and unfolded the opportunities for functional characterization of individual lncRNA in future studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 26%
Researcher 12 16%
Student > Master 7 9%
Student > Doctoral Student 7 9%
Other 4 5%
Other 7 9%
Unknown 18 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 45%
Biochemistry, Genetics and Molecular Biology 15 20%
Unspecified 1 1%
Business, Management and Accounting 1 1%
Computer Science 1 1%
Other 2 3%
Unknown 21 28%
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 01 July 2017.
All research outputs
#15,466,074
of 22,982,639 outputs
Outputs from Frontiers in Plant Science
#10,973
of 20,435 outputs
Outputs of similar age
#199,086
of 317,136 outputs
Outputs of similar age from Frontiers in Plant Science
#372
of 591 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 591 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.