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Computational Identification of Novel MicroRNAs and Their Targets in Vigna unguiculata

MicroRNAs (miRNAs) are a class of endogenous, noncoding, short RNAs directly involved in regulating gene expression at the posttranscriptional level. High conservation of miRNAs in plant provides the foundation for identification of new miRNAs in other plant species through homology alignment. Here,...

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Detalles Bibliográficos
Autores principales: Lu, Yongzhong, Yang, Xiaoyun
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2929582/
https://www.ncbi.nlm.nih.gov/pubmed/20811611
http://dx.doi.org/10.1155/2010/128297
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author Lu, Yongzhong
Yang, Xiaoyun
author_facet Lu, Yongzhong
Yang, Xiaoyun
author_sort Lu, Yongzhong
collection PubMed
description MicroRNAs (miRNAs) are a class of endogenous, noncoding, short RNAs directly involved in regulating gene expression at the posttranscriptional level. High conservation of miRNAs in plant provides the foundation for identification of new miRNAs in other plant species through homology alignment. Here, previous known plant miRNAs were BLASTed against the Expressed Sequence Tag (EST) and Genomic Survey Sequence (GSS) databases of Vigna unguiculata, and according to a series of filtering criteria, a total of 47 miRNAs belonging to 13 miRNA families were identified, and 30 potential target genes of them were subsequently predicted, most of which seemed to encode transcription factors or enzymes participating in regulation of development, growth, metabolism, and other physiological processes. Overall, our findings lay the foundation for further researches of miRNAs function in Vigna unguiculata.
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spelling pubmed-29295822010-09-01 Computational Identification of Novel MicroRNAs and Their Targets in Vigna unguiculata Lu, Yongzhong Yang, Xiaoyun Comp Funct Genomics Research Article MicroRNAs (miRNAs) are a class of endogenous, noncoding, short RNAs directly involved in regulating gene expression at the posttranscriptional level. High conservation of miRNAs in plant provides the foundation for identification of new miRNAs in other plant species through homology alignment. Here, previous known plant miRNAs were BLASTed against the Expressed Sequence Tag (EST) and Genomic Survey Sequence (GSS) databases of Vigna unguiculata, and according to a series of filtering criteria, a total of 47 miRNAs belonging to 13 miRNA families were identified, and 30 potential target genes of them were subsequently predicted, most of which seemed to encode transcription factors or enzymes participating in regulation of development, growth, metabolism, and other physiological processes. Overall, our findings lay the foundation for further researches of miRNAs function in Vigna unguiculata. Hindawi Publishing Corporation 2010 2010-08-02 /pmc/articles/PMC2929582/ /pubmed/20811611 http://dx.doi.org/10.1155/2010/128297 Text en Copyright © 2010 Y. Lu and X. Yang. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lu, Yongzhong
Yang, Xiaoyun
Computational Identification of Novel MicroRNAs and Their Targets in Vigna unguiculata
title Computational Identification of Novel MicroRNAs and Their Targets in Vigna unguiculata
title_full Computational Identification of Novel MicroRNAs and Their Targets in Vigna unguiculata
title_fullStr Computational Identification of Novel MicroRNAs and Their Targets in Vigna unguiculata
title_full_unstemmed Computational Identification of Novel MicroRNAs and Their Targets in Vigna unguiculata
title_short Computational Identification of Novel MicroRNAs and Their Targets in Vigna unguiculata
title_sort computational identification of novel micrornas and their targets in vigna unguiculata
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2929582/
https://www.ncbi.nlm.nih.gov/pubmed/20811611
http://dx.doi.org/10.1155/2010/128297
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