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Logo of bmcgenoBioMed Centralsearchsubmit a manuscriptregisterthis articleBMC Genomics
BMC Genomics. 2009; 10: 355.
Published online Aug 4, 2009. doi:  10.1186/1471-2164-10-355
PMCID: PMC2907701
Genome-wide computational identification of functional RNA elements in Trypanosoma brucei
Yuan Mao,#1 Hamed Shateri Najafabadi,#1,2 and Reza Salavaticorresponding author1,2,3
1Institute of Parasitology, McGill University, 21,111 Lakeshore Road, Ste. Anne de Bellevue, Montreal, Quebec H9X3V9, Canada
2McGill Centre for Bioinformatics, McGill University, Duff Medical Building, 3775 University Street, Montreal, Quebec H3A2B4, Canada
3Department of Biochemistry, McGill University, McIntyre Medical Building, 3655 Promenade Sir William Osler, Montreal, Quebec H3G1Y6, Canada
corresponding authorCorresponding author.
#Contributed equally.
Yuan Mao: yuan.mao/at/; Hamed Shateri Najafabadi: hamed.shaterinajafabadi/at/; Reza Salavati: reza.salavati/at/
Received April 15, 2009; Accepted August 4, 2009.
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.
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.
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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