title: Identification of conserved and novel microRNAs in Porphyridium purpureum via deep sequencing and bioinformatics.
abstract: Porphyridium purpureum has been utilized in important industrial and pharmaceutical fields. The identification of microRNAs (miRNAs) in this unique species is of great importance: such identification can help fill gaps in the small RNA (sRNA) studies of this organism and help to elucidate essential biological processes and their regulation mechanisms in this special micro alga.
  
  
  
  In this study, 254 high-confidence miRNAs (203 conserved miRNAs and 51 novel miRNAs) were identified by sRNA deep sequencing (sRNA-seq) combined with bioinformatics. A total of 235 putative miRNA families were predicted, including 192 conserved families and 43 species-specific families. The conservation and diversity of predicted miRNA families were analysed in different plant species. Both the 100 % northern blot validation rate (VR) of four randomly selected miRNAs and the results of stem-loop quantitative real time RT-PCR (qRT-PCR) assays of 25 randomly selected miRNAs demonstrated that the majority of the miRNAs identified in this study are credible. A total of 14,958 and 2184 genes were predicted to be targeted by the 186 conserved and 41 novel miRNAs. Gene ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that some target genes likely provide valuable references for further understanding of vital functions in P. purpureum. In addition, a cytoscape network will provide some clues for research into the complex biological processes that occur in this unique alga.
  
  
  
  We first identified a large set of conserved and novel miRNAs in P. purpureum. The characteristic and validation analysis on miRNAs demonstrated authenticity of identification data. Functional annotation of target genes and metabolic pathways they involved in illuminated the direction for further utilization and development this micro alga based on its unique properties.
authors: School of Life Science, Shanxi University, Taiyuan, 030006, China.
authors: Fan
authors: F
authors: Gao
authors: School of Life Science, Shanxi University, Taiyuan, 030006, China.
authors: Fangru
authors: F
authors: Nan
authors: School of Life Science, Shanxi University, Taiyuan, 030006, China.
authors: Jia
authors: J
authors: Feng
authors: School of Life Science, Shanxi University, Taiyuan, 030006, China.
authors: Junping
authors: J
authors: Lv
authors: School of Life Science, Shanxi University, Taiyuan, 030006, China.
authors: Qi
authors: Q
authors: Liu
authors: School of Life Science, Shanxi University, Taiyuan, 030006, China. xiesl@sxu.edu.cn.
authors: Shulian
authors: S
authors: Xie
mesh_terms: D020418:Algal Proteins / Q000235:genetics*; D019295:Computational Biology; D017124:Conserved Sequence; D018506:Gene Expression Regulation, Plant; D063990:Gene Ontology; D018745:Genome, Plant; D059014:High-Throughput Nucleotide Sequencing; D053858:Metabolic Networks and Pathways / Q000235:genetics; D035683:MicroRNAs / Q000235:genetics*; D058977:Molecular Sequence Annotation; D044665:Porphyridium / Q000235:genetics*; D018749:RNA, Plant / Q000235:genetics*
chemical_list: D020418:Algal Proteins; D035683:MicroRNAs; D018749:RNA, Plant
keywords: Porphyridium purpureum; RNA-seq; miRNA; sRNA