title: Deep sequencing and genome-wide analysis reveals the expansion of MicroRNA genes in the gall midge Mayetiola destructor.
abstract: BACKGROUND
  MicroRNAs (miRNAs) are small non-coding RNAs that play critical roles in regulating post transcriptional gene expression. Gall midges encompass a large group of insects that are of economic importance and also possess fascinating biological traits. The gall midge Mayetiola destructor, commonly known as the Hessian fly, is a destructive pest of wheat and model organism for studying gall midge biology and insect - host plant interactions.
  
  
  RESULTS
  In this study, we systematically analyzed miRNAs from the Hessian fly. Deep-sequencing a Hessian fly larval transcriptome led to the identification of 89 miRNA species that are either identical or very similar to known miRNAs from other insects, and 184 novel miRNAs that have not been reported from other species. A genome-wide search through a draft Hessian fly genome sequence identified a total of 611 putative miRNA-encoding genes based on sequence similarity and the existence of a stem-loop structure for miRNA precursors. Analysis of the 611 putative genes revealed a striking feature: the dramatic expansion of several miRNA gene families. The largest family contained 91 genes that encoded 20 different miRNAs. Microarray analyses revealed the expression of miRNA genes was strictly regulated during Hessian fly larval development and abundance of many miRNA genes were affected by host genotypes.
  
  
  CONCLUSIONS
  The identification of a large number of miRNAs for the first time from a gall midge provides a foundation for further studies of miRNA functions in gall midge biology and behavior. The dramatic expansion of identical or similar miRNAs provides a unique system to study functional relations among miRNA iso-genes as well as changes in sequence specificity due to small changes in miRNAs and in their mRNA targets. These results may also facilitate the identification of miRNA genes for potential pest control through transgenic approaches.
authors.affiliation: Department of Entomology, Kansas State University, Manhattan, Kansas 66056, USA.
authors.forename: Chitvan
authors.initials: C
authors.lastname: Khajuria
authors.forename: Christie E
authors.initials: CE
authors.lastname: Williams
authors.forename: Mustapha
authors.initials: M
authors.lastname: El Bouhssini
authors.forename: R Jeff
authors.initials: RJ
authors.lastname: Whitworth
authors.forename: Stephen
authors.initials: S
authors.lastname: Richards
authors.forename: Jeffrey J
authors.initials: JJ
authors.lastname: Stuart
authors.forename: Ming-Shun
authors.initials: MS
authors.lastname: Chen
mesh_terms: D000818:Animals; D019295:Computational Biology; D017124:Conserved Sequence / Q000235:genetics; D004175:Diptera / Q000235:genetics* / Q000472:pathogenicity; D019143:Evolution, Molecular; D018506:Gene Expression Regulation, Plant; D049750:Genome, Insect; D059014:High-Throughput Nucleotide Sequencing; D006790:Host-Parasite Interactions / Q000235:genetics*; D035683:MicroRNAs / Q000235:genetics* / Q000302:isolation & purification; D010572:Pest Control, Biological; D014908:Triticum / Q000235:genetics / Q000469:parasitology
chemical_list: D035683:MicroRNAs