title: Next-generation sequencing of the porcine skeletal muscle transcriptome for computational prediction of microRNA gene targets.
abstract: BACKGROUND
  MicroRNA are a class of small RNAs that regulate gene expression by inhibiting translation of protein encoding transcripts through targeting of a microRNA-protein complex by base-pairing of the microRNA sequence to cognate recognition sequences in the 3' untranslated region (UTR) of the mRNA. Target identification for a given microRNA sequence is generally accomplished by informatics analysis of predicted mRNA sequences present in the genome or in databases of transcript sequence for the tissue of interest. However, gene models for porcine skeletal muscle transcripts in current databases, specifically complete sequence of the 3' UTR, are inadequate for this exercise.
  
  
  RESULTS
  To provide data necessary to identify gene targets for microRNA in porcine skeletal muscle, normalized cDNA libraries were sequenced using Roche 454 GS-FLX pyrosequencing and de novo assembly of transcripts enriched in the 3' UTR was performed using the MIRA sequence assembly program. Over 725 million bases of sequence were generated, which assembled into 18,202 contigs. Sequence reads were mapped to a 3' UTR database containing porcine sequences. The 3' UTR that mapped to the database were examined to predict targets for previously identified microRNA that had been separately sequenced from the same porcine muscle sample used to generate the cDNA libraries. For genes with microRNA-targeted 3' UTR, KEGG pathways were computationally determined in order to identify potential functional effects of these microRNA-targeted transcripts.
  
  
  CONCLUSIONS
  Through next-generation sequencing of transcripts expressed in skeletal muscle, mapping reads to a 3' UTR database, and prediction of microRNA target sites in the 3' UTR, our results identified genes expressed in porcine skeletal muscle and predicted the microRNA that target these genes. Additionally, identification of pathways regulated by these microRNA-targeted genes provides us with a set of genes that can be further evaluated for their potential role in skeletal muscle development and growth.
authors: Genetics and Breeding Research Unit, United States Department of Agriculture/Agricultural Research Service/USDA/Meat Animal Research Center, Nebraska, United States of America. tara.mcdaneld@ars.usda.gov
authors: Tara G
authors: TG
authors: McDaneld
authors: Tim P L
authors: TP
authors: Smith
authors: Gregory P
authors: GP
authors: Harhay
authors: Ralph T
authors: RT
authors: Wiedmann
mesh_terms: D020413:3' Untranslated Regions / Q000235:genetics; D000818:Animals; D019295:Computational Biology; D015723:Gene Library; D059014:High-Throughput Nucleotide Sequencing; D035683:MicroRNAs / Q000235:genetics* / Q000378:metabolism; D058977:Molecular Sequence Annotation; D018482:Muscle, Skeletal / Q000254:growth & development / Q000378:metabolism*; D017422:Sequence Analysis, DNA; D013552:Swine; D059467:Transcriptome / Q000235:genetics*
chemical_list: D020413:3' Untranslated Regions; D035683:MicroRNAs