PoplarV1, Main, Exploration, bibRecord, 002173

Identification of microRNA genes and their mRNA targets in Festuca arundinacea.

Identifieur interne : 002173 ( Main/Exploration ); précédent : 002172; suivant : 002174

Identification of microRNA genes and their mRNA targets in Festuca arundinacea.

Auteurs : Xi Hong Sun [République populaire de Chine] ; Ling Ping Zhao ; Quan Zou ; Zhan Bin Wang

Source :

Applied biochemistry and biotechnology [ 1559-0291 ] ; 2014.

RBID : pubmed:24577674

Descripteurs français

KwdFr :
- ARN messager (génétique), ARN messager (métabolisme), Biologie informatique (méthodes), Facteurs de transcription (génétique), Facteurs de transcription (métabolisme), Festuca (génétique), Gènes de plante (MeSH), Séquence conservée (MeSH), Séquence nucléotidique (MeSH), microARN (génétique), microARN (métabolisme).
MESH :
- génétique : ARN messager, Facteurs de transcription, Festuca, microARN.
- métabolisme : ARN messager, Facteurs de transcription, microARN.
- méthodes : Biologie informatique.
- Gènes de plante, Séquence conservée, Séquence nucléotidique.

English descriptors

KwdEn :
- Base Sequence (MeSH), Computational Biology (methods), Conserved Sequence (MeSH), Festuca (genetics), Genes, Plant (MeSH), MicroRNAs (genetics), MicroRNAs (metabolism), RNA, Messenger (genetics), RNA, Messenger (metabolism), Transcription Factors (genetics), Transcription Factors (metabolism).
MESH :
- chemical , genetics : MicroRNAs, RNA, Messenger, Transcription Factors.
- genetics : Festuca.
- chemical , metabolism : MicroRNAs, RNA, Messenger, Transcription Factors.
- methods : Computational Biology.
- Base Sequence, Conserved Sequence, Genes, Plant.

Abstract

MicroRNAs (miRNAs) have emerged as a novel class of endogenous, small, non-coding RNAs of 22 nucleotides (nts) in length, which plays important roles in post-transcriptional degradation of target mRNA or inhibition of protein synthesis through binding the specific sites of target mRNA. Growing evidences have shown that miRNAs play an important role in various biological processes, including growth and development, signal transduction, apoptosis, proliferation, stress responses, maintenance of genome stability, and so on. In our study, we used bioinformatic tools to predict miRNA and the corresponding target genes of Festuca arundinacea. We used known miRNAs of other plants from miRBase to search against expressed sequence tags (EST) databases and genome survey sequences (GSS) of F. arundinacea. A total of 8 potential miRNAs were predicted. Phylogenetic analysis of the predicted miRNAs revealed that miRNA398c of F. arundinacea species was evolutionary highly conserved with Populus trichocarpa. The 8 potential miRNAs corresponding to 20 target genes were found. Most of the miRNA target genes were predicted to encode transcription factors that regulate cell growth and development, signaling, metabolism, and other biology processes. By bioinformatics methods, we can effectively predict novel miRNAs and its target genes and add information to F. arundinacea miRNA database. Moreover, it shows a path for the prediction and analysis of miRNAs to those species whose genomes are not available through bioinformatics tools.

DOI: 10.1007/s12010-014-0805-6
PubMed: 24577674

Affiliations:

République populaire de Chine

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Le document en format XML

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<author><name sortKey="Zhao, Ling Ping" sort="Zhao, Ling Ping" uniqKey="Zhao L" first="Ling Ping" last="Zhao">Ling Ping Zhao</name>
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<author><name sortKey="Wang, Zhan Bin" sort="Wang, Zhan Bin" uniqKey="Wang Z" first="Zhan Bin" last="Wang">Zhan Bin Wang</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Base Sequence (MeSH)</term>
<term>Computational Biology (methods)</term>
<term>Conserved Sequence (MeSH)</term>
<term>Festuca (genetics)</term>
<term>Genes, Plant (MeSH)</term>
<term>MicroRNAs (genetics)</term>
<term>MicroRNAs (metabolism)</term>
<term>RNA, Messenger (genetics)</term>
<term>RNA, Messenger (metabolism)</term>
<term>Transcription Factors (genetics)</term>
<term>Transcription Factors (metabolism)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>ARN messager (génétique)</term>
<term>ARN messager (métabolisme)</term>
<term>Biologie informatique (méthodes)</term>
<term>Facteurs de transcription (génétique)</term>
<term>Facteurs de transcription (métabolisme)</term>
<term>Festuca (génétique)</term>
<term>Gènes de plante (MeSH)</term>
<term>Séquence conservée (MeSH)</term>
<term>Séquence nucléotidique (MeSH)</term>
<term>microARN (génétique)</term>
<term>microARN (métabolisme)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en"><term>MicroRNAs</term>
<term>RNA, Messenger</term>
<term>Transcription Factors</term>
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<keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Festuca</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>ARN messager</term>
<term>Facteurs de transcription</term>
<term>Festuca</term>
<term>microARN</term>
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<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>MicroRNAs</term>
<term>RNA, Messenger</term>
<term>Transcription Factors</term>
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<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Computational Biology</term>
</keywords>
<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>ARN messager</term>
<term>Facteurs de transcription</term>
<term>microARN</term>
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<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Biologie informatique</term>
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<keywords scheme="MESH" xml:lang="en"><term>Base Sequence</term>
<term>Conserved Sequence</term>
<term>Genes, Plant</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Gènes de plante</term>
<term>Séquence conservée</term>
<term>Séquence nucléotidique</term>
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<front><div type="abstract" xml:lang="en">MicroRNAs (miRNAs) have emerged as a novel class of endogenous, small, non-coding RNAs of 22 nucleotides (nts) in length, which plays important roles in post-transcriptional degradation of target mRNA or inhibition of protein synthesis through binding the specific sites of target mRNA. Growing evidences have shown that miRNAs play an important role in various biological processes, including growth and development, signal transduction, apoptosis, proliferation, stress responses, maintenance of genome stability, and so on. In our study, we used bioinformatic tools to predict miRNA and the corresponding target genes of Festuca arundinacea. We used known miRNAs of other plants from miRBase to search against expressed sequence tags (EST) databases and genome survey sequences (GSS) of F. arundinacea. A total of 8 potential miRNAs were predicted. Phylogenetic analysis of the predicted miRNAs revealed that miRNA398c of F. arundinacea species was evolutionary highly conserved with Populus trichocarpa. The 8 potential miRNAs corresponding to 20 target genes were found. Most of the miRNA target genes were predicted to encode transcription factors that regulate cell growth and development, signaling, metabolism, and other biology processes. By bioinformatics methods, we can effectively predict novel miRNAs and its target genes and add information to F. arundinacea miRNA database. Moreover, it shows a path for the prediction and analysis of miRNAs to those species whose genomes are not available through bioinformatics tools.</div>
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Identification of microRNA genes and their mRNA targets in Festuca arundinacea.

Identification of microRNA genes and their mRNA targets in Festuca arundinacea.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki