title: Characterization of bovine miRNAs by sequencing and bioinformatics analysis.
abstract: BACKGROUND
  MicroRNAs (miRNAs) are a family of approximately 22 nucleotide small RNA molecules which regulate gene expression by fully or partially binding to their complementary sequences in mRNAs or promoters. A large number of miRNAs and their expression patterns have been reported in human, mouse and rat. However, miRNAs and their expression patterns in live stock species such as beef cattle are not well studied.
  
  
  RESULTS
  We constructed and sequenced small-RNA libraries to yield a total of 13,541 small-RNA sequences from 11 bovine tissues including brain, subcutaneous fat, muscle, liver, kidney, spleen and thymus. In total, 228 miRNAs including 29 novel miRNA candidates were identified. Of the 199 miRNAs, 101 have been previously reported as bovine miRNAs and the other 98 are bovine orthologs of known miRNAs that have been identified in at least one other mammalian species. Of the 29 novel miRNA candidates, 17 appeared at this point in time to be bovine specific, while the remaining 12 had evidence of evolutionary conservation in other mammalian species. Five miRNAs (miR-23a, -23b, -99a, -125b and -126-5p) were very abundant across the 11 tissues, accounting for 44.3% of all small RNA sequences. The expression analysis of selected miRNAs using qRT-PCR also showed that miR-26a and -99a were highly expressed in all tissues, while miR-122 and miR-133a were predominantly expressed in liver and muscle, respectively.
  
  
  CONCLUSIONS
  The miRNA expression patterns among 11 tissues from beef cattle revealed that most miRNAs were ubiquitously expressed in all tissues, while only a few miRNAs were tissue specific. Only 60% miRNAs in this study were found to display strand bias, suggesting that there are some key factors for mature miRNA selection other than internal stability. Most bovine miRNAs are highly conserved in other three mammalian species, indicating that these miRNAs may have a role in different species that are potential molecular markers for evolution.
authors.affiliation: Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G2P5, Canada. weiwu@ualberta.ca
authors.forename: Weiwu
authors.initials: W
authors.lastname: Jin
authors.forename: Jason R
authors.initials: JR
authors.lastname: Grant
authors.forename: Paul
authors.initials: P
authors.lastname: Stothard
authors.forename: Stephen S
authors.initials: SS
authors.lastname: Moore
authors.forename: Le Luo
authors.initials: LL
authors.lastname: Guan
mesh_terms: D000818:Animals; D001483:Base Sequence; D002417:Cattle / Q000235:genetics* / Q000378:metabolism; D019295:Computational Biology; D005260:Female; D006801:Humans; D051379:Mice; D035683:MicroRNAs / Q000737:chemistry*; D008969:Molecular Sequence Data; D051381:Rats; D012641:Selection, Genetic; D017423:Sequence Analysis, RNA
chemical_list: D035683:MicroRNAs