Proceedings of the 2017 2nd International Conference on Biological Sciences and Technology (BST 2017)

Functional Predictions of Long Noncoding RNAs by MiRNAs in Populus Euphratica Oliv.

Authors
Wei-Wei Yan, Hao Zou, Sheng-Jie Luo, Zhen-Zhong Zhou, Shao-Wei Qin, Li-Feng Zhao
Corresponding Author
Wei-Wei Yan
Available Online February 2018.
DOI
10.2991/bst-17.2018.23How to use a DOI?
Keywords
lncRNA, Function, Populus euphratica Oliv., miRNA, ceRNA.
Abstract

Long noncoding RNAs (lncRNAs) are refer as noncoding transcript RNAs and longer than 200 nucleotides (nt) in length but shorter than 10,000 nt. LncRNAs are involved in a variety of biological processes, such as development, stress response. However, the functions of lncRNAs in plants are largely unclear. MicroRNAs (miRNAs) can regulate gene expression at transcriptional or post-transcriptional level in eukaryotes by sequence complementation. At present, the research on noncoding RNAs targeted by miRNAs is seldom explored in plants. Populus euphratica Oliv. (P. euphratica) is one of ideal model plants for studying development and stress resistance. To uncover the potential functions of lncRNAs in P. euphratica, the tender leaves of P. euphratica were analyzed using sequencing, and the data including lncRNAs and miRNAs were obtained, followed by bioinformatics methods to predict the potential binding sites of 258 mature miRNAs at 4460 lncRNAs in P. euphratica. It was found that 159 lncRNAs can act as the targets of 33 miRNAs. The corrections of miRNAs-mRNAs-lncRNAs were constructed and the functions of lncRNAs were predicted according to the roles of targets (mRNAs) of corresponding miRNAs. Our results indicated that lncRNAs of P. euphratica can regulate development, metabolism, and stress response and regulation process by decoying corresponding miRNAs.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Biological Sciences and Technology (BST 2017)
Series
Advances in Biological Sciences Research
Publication Date
February 2018
ISBN
978-94-6252-472-9
ISSN
2468-5747
DOI
10.2991/bst-17.2018.23How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wei-Wei Yan
AU  - Hao Zou
AU  - Sheng-Jie Luo
AU  - Zhen-Zhong Zhou
AU  - Shao-Wei Qin
AU  - Li-Feng Zhao
PY  - 2018/02
DA  - 2018/02
TI  - Functional Predictions of Long Noncoding RNAs by MiRNAs in Populus Euphratica Oliv.
BT  - Proceedings of the 2017 2nd International Conference on Biological Sciences and Technology (BST 2017)
PB  - Atlantis Press
SP  - 155
EP  - 160
SN  - 2468-5747
UR  - https://doi.org/10.2991/bst-17.2018.23
DO  - 10.2991/bst-17.2018.23
ID  - Yan2018/02
ER  -