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Genome-wide computational identification of functional RNA elements in Trypanosoma brucei

BACKGROUND: Post-transcriptional regulation of gene expression is the dominant regulatory mechanism in trypanosomatids as their mRNAs are transcribed from polycistronic units. A few cis-acting RNA elements in 3'-untranslated regions of mRNAs have been identified in trypanosomatids, which affect...

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Autores principales: Mao, Yuan, Najafabadi, Hamed Shateri, Salavati, Reza
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2907701/
https://www.ncbi.nlm.nih.gov/pubmed/19653906
http://dx.doi.org/10.1186/1471-2164-10-355
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author Mao, Yuan
Najafabadi, Hamed Shateri
Salavati, Reza
author_facet Mao, Yuan
Najafabadi, Hamed Shateri
Salavati, Reza
author_sort Mao, Yuan
collection PubMed
description BACKGROUND: Post-transcriptional regulation of gene expression is the dominant regulatory mechanism in trypanosomatids as their mRNAs are transcribed from polycistronic units. A few cis-acting RNA elements in 3'-untranslated regions of mRNAs have been identified in trypanosomatids, which affect the mRNA stability or translation rate in different life stages of these parasites. Other functional RNAs (fRNAs) also play essential roles in these organisms. However, there has been no genome-wide analysis for identification of fRNAs in trypanosomatids. RESULTS: Functional RNAs, including non-coding RNAs (ncRNAs) and cis-acting RNA elements involved in post-transcriptional gene regulation, were predicted based on two independent computational analyses of the genome of Trypanosoma brucei. In the first analysis, the predicted candidate ncRNAs were identified based on conservation with the related trypanosomatid Leishmania braziliensis. This prediction had a substantially low estimated false discovery rate, and a considerable number of the predicted ncRNAs represented novel classes with unknown functions. In the second analysis, we identified a number of function-specific regulatory motifs, based on which we devised a classifier that can be used for homology-independent function prediction in T. brucei. CONCLUSION: This first genome-wide analysis of fRNAs in trypanosomatids restricts the search space of experimental approaches and, thus, can significantly expedite the process of characterization of these elements. Our classifier for function prediction based on cis-acting regulatory elements can also, in combination with other methods, provide the means for homology-independent annotation of trypanosomatid genomes.
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spelling pubmed-29077012010-07-22 Genome-wide computational identification of functional RNA elements in Trypanosoma brucei Mao, Yuan Najafabadi, Hamed Shateri Salavati, Reza BMC Genomics Research Article BACKGROUND: Post-transcriptional regulation of gene expression is the dominant regulatory mechanism in trypanosomatids as their mRNAs are transcribed from polycistronic units. A few cis-acting RNA elements in 3'-untranslated regions of mRNAs have been identified in trypanosomatids, which affect the mRNA stability or translation rate in different life stages of these parasites. Other functional RNAs (fRNAs) also play essential roles in these organisms. However, there has been no genome-wide analysis for identification of fRNAs in trypanosomatids. RESULTS: Functional RNAs, including non-coding RNAs (ncRNAs) and cis-acting RNA elements involved in post-transcriptional gene regulation, were predicted based on two independent computational analyses of the genome of Trypanosoma brucei. In the first analysis, the predicted candidate ncRNAs were identified based on conservation with the related trypanosomatid Leishmania braziliensis. This prediction had a substantially low estimated false discovery rate, and a considerable number of the predicted ncRNAs represented novel classes with unknown functions. In the second analysis, we identified a number of function-specific regulatory motifs, based on which we devised a classifier that can be used for homology-independent function prediction in T. brucei. CONCLUSION: This first genome-wide analysis of fRNAs in trypanosomatids restricts the search space of experimental approaches and, thus, can significantly expedite the process of characterization of these elements. Our classifier for function prediction based on cis-acting regulatory elements can also, in combination with other methods, provide the means for homology-independent annotation of trypanosomatid genomes. BioMed Central 2009-08-04 /pmc/articles/PMC2907701/ /pubmed/19653906 http://dx.doi.org/10.1186/1471-2164-10-355 Text en Copyright ©2009 Mao et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mao, Yuan
Najafabadi, Hamed Shateri
Salavati, Reza
Genome-wide computational identification of functional RNA elements in Trypanosoma brucei
title Genome-wide computational identification of functional RNA elements in Trypanosoma brucei
title_full Genome-wide computational identification of functional RNA elements in Trypanosoma brucei
title_fullStr Genome-wide computational identification of functional RNA elements in Trypanosoma brucei
title_full_unstemmed Genome-wide computational identification of functional RNA elements in Trypanosoma brucei
title_short Genome-wide computational identification of functional RNA elements in Trypanosoma brucei
title_sort genome-wide computational identification of functional rna elements in trypanosoma brucei
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2907701/
https://www.ncbi.nlm.nih.gov/pubmed/19653906
http://dx.doi.org/10.1186/1471-2164-10-355
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