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Genome wide identification and functional prediction of long non-coding RNAs in Brassica rapa

Authors :
Yong Pyo Lim
Parameswari Paul
Vignesh Dhandapani
Su Ryun Choi
Source :
Genes & Genomics. 38:547-555
Publication Year :
2016
Publisher :
Springer Science and Business Media LLC, 2016.

Abstract

Long non-coding RNAs (LncRNAs) are a large, diverse class of RNA molecules that has garnered attention for their potential to regulate gene expression and been identified in various organisms. Here we report the first prediction of lncRNAs in Brassica rapa (B. rapa) genome using computational method. We subjected the publicly available full length cDNA sequences and identified 2237 candidate lncRNAs, characterized their functions based on insilico methods. Housekeeping and small regulatory non-coding RNAs (ncRNAs) were removed from the pool. Although 14–15 % of the total sequences were predicted to be non-coding initially, on filtering only 4.6 % of the total sequences were predicted as lncRNAs carrying a large number of simple repeats. The lncRNAs had an average length of 497 bp and were mapped on each chromosome of B. rapa. They were classified to 4 groups based on their origin. Thirty six motifs involving transcription related activities, signaling mechanism and stress response were identified in the lncRNAs. Repeat elements and neighboring genes of the lncRNAs were analyzed since they were associated in function and regulating the expression of these long non-coding RNAs. We believe that this study would be an initial and reference for any further studies regarding long non-coding RNAs in B. rapa and other Brassica crops.

Details

ISSN :
20929293 and 19769571
Volume :
38
Database :
OpenAIRE
Journal :
Genes & Genomics
Accession number :
edsair.doi...........caa203e92db5c97522c9cad594583925
Full Text :
https://doi.org/10.1007/s13258-016-0405-7