Characterization of microRNAs from sheep (<Emphasis Type="Italic">Ovis aries</Emphasis>) using computational and experimental analyses

Ovis aries is one of the most important agricultural livestock for meat production, and also is an ideal model organism for biological and comparative genomics studies. Many miRNAs have been reported for their important roles in developmental processes in various animals, but there is limited information about O. aries miRNAs. In this study, combining a computational method based on expressed sequence tag (EST) analysis with experimental identification based on small RNA cDNA library, we identified 31 miRNAs belong to 24 families in sheep, 2 of which were novel miRNAs which had never been previously identified in any species. Especially, we cloned 12 miRNAs from the sheep skeletal muscle, which were good candidate miRNAs to be studied about the miRNA-dependant regulated process of muscle development, and we identified four pairs of miRNA/miRNA* and one pair of miRNA-3p/miRNA-5p from sheep EST sequences. Expression analysis indicated that some miRNAs were expressed in a specific tissue, and the pair of miRNA-3p/miRNA-5p and one pair of miRNA/miRNA* had a similar relative expression pattern in some tissues, respectively. Further, we predicted 120 potential target genes of 31 oar-miRNAs on the 3′UTR of O. aries genes. Gene ontology analysis showed that most of these genes took part in the cellular process and metabolic process. Our results enriched the O. aries miRNA database and provided useful information for investigating biological functions of miRNAs and miRNA* in sheep.     

Identification of miR414 and expression analysis of conserved miRNAs from Stevia rebaudiana

MicroRNAs (miRNAs) usually contain 19-24 nucleotides and have been identified as important eukaryotic gene regulators. Applications of various computational approaches have simplified the task by predicting miRNAs from available sequence data sources. In this study, we identified a conserved miR414 from a computational analysis of EST sequence data available from Stevia rebaudiana. In addition, we also identified six conserved miRNAs namely miR169, miR319, miR414, miR164, miR167 and miR398 using stem-loop RT-PCR analysis. Hence, miR414 was commonly identified using both methods. The expression analysis of these miRNAs documented their roles in growth and development of Stevia. Furthermore, the detected miRNAs were found to target genes involved in plant growth, development, metabolism and signal transduction. This is the first study reporting these conserved miRNAs and their expression in Stevia.     

Bioinformatic identification and expression analysis of new microRNAs from wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.)

As an essential regulatory component in plants, microRNAs (miRNAs) have been intensively studied over the past decade. Although hundreds of miRNAs have been identified and analyzed in many important crops and model plants, very little is known about the function of common wheat (Triticum aestivum L.) miRNAs. In this study, we performed computational prediction of novel wheat miRNAs based on BLAST searches of the expressed sequence tag database. The expression profiles of all miRNAs were performed for both vegetative and reproductive tissues to identify developmentally regulated miRNAs. A total of 19 new miRNAs belonging to 12 MIR families were identified using stringent criteria for miRNA annotation. For all of the miRNAs, the secondary structures of their precursor sequences were predicted. Two pairs of distinct miRNAs were found to be located on the same precursor. The predicted miRNAs were experimentally verified by a stem-loop qRT-PCR-based assay. The expression profiles were performed in both vegetative and reproductive tissues to find the potential correlations between the developmental phase and miRNA activity. Thirteen out of 19 miRNAs were upregulated at certain phases of plant development, and three of them (miR319, miR395, and miR171) showed the greatest expression in young spikes during microsporogenesis. Our results provide useful information for future studies of miRNA-mediated regulation of flower and grain development in wheat.     

Involvement of MicroRNAs in Infection of Silkworm with Bombyx mori Cytoplasmic Polyhedrosis Virus (BmCPV)

Bombyx mori cytoplasmic polyhedrosis virus (BmCPV) is one of the most important pathogens of silkworm. MicroRNAs (miRNAs) have been demonstrated to play key roles in regulating host-pathogen interaction. However, there are limited reports on the miRNAs expression profiles during insect pathogen challenges. In this study, four small RNA libraries from BmCPV-infected midgut of silkworm at 72 h post-inoculation and 96 h post-inoculation and their corresponding control midguts were constructed and deep sequenced. A total of 316 known miRNAs (including miRNA*) and 90 novel miRNAs were identified. Fifty-eight miRNAs displayed significant differential expression between the infected and normal midgut (P value < = 0.01 and fold change > = 2.0 or < = 0.5), among which ten differentially expressed miRNA were validated by qRT-PCR method. Further bioinformatics analysis of predicted target genes of differentially expressed miRNAs showed that the miRNA targets were involved in stimulus and immune system process in silkworm.     

miRTar Hunter: A prediction system for identifying human microRNA target sites

MicroRNAs (miRNAs) are important regulators of gene expression and play crucial roles in many biological processes including apoptosis, differentiation, development, and tumorigenesis. Recent estimates suggest that more than 50% of human protein coding genes may be regulated by miRNAs and that each miRNA may bind to 300–400 target genes. Approximately 1,000 human miRNAs have been identified so far with each having up to hundreds of unique target mRNAs. However, the targets for a majority of these miRNAs have not been identified due to the lack of large-scale experimental detection techniques. Experimental detection of miRNA target sites is a costly and time-consuming process, even though identification of miRNA targets is critical to unraveling their functions in various biological processes. To identify miRNA targets, we developed miRTar Hunter, a novel computational approach for predicting target sites regardless of the presence or absence of a seed match or evolutionary sequence conservation. Our approach is based on a dynamic programming algorithm that incorporates more sequence-specific features and reflects the properties of various types of target sites that determine diverse aspects of complementarities between miRNAs and their targets. We evaluated the performance of our algorithm on 532 known human miRNA:target pairs and 59 experimentally-verified negative miRNA:target pairs, and also compared our method with three popular programs for 481 miRNA:target pairs. miRTar Hunter outperformed three popular existing algorithms in terms of recall and precision, indicating that our unique scheme to quantify the determinants of complementary sites is effective at detecting miRNA targets. miRTar Hunter is now available at http://203.230.194.162/~kbkim.     

Identification and characterization of Polycomb group genes in the silkworm, <Emphasis Type="Italic">Bombyx mori</Emphasis>

Polycomb group (PcG) proteins are involved in chromatin modifications for maintaining gene repression that play important roles in the regulation of gene expression, tumorigenesis, chromosome X-inactivation, and genomic imprinting in Drosophila melanogaster, mammals, and even plants. To characterize the orthologs of PcG genes in the silkworm, Bombyx mori, 13 candidates were identified from the updated silkworm genome sequence by using the fruit fly PcG genes as queries. Comparison of the silkworm PcG proteins with those from other insect species revealed that the insect PcG proteins shared high sequence similarity. High-level expressions of all the silkworm PcG genes were maintained through day 2 to day 7 of embryogenesis, and tissue microarray data on day 3 of the fifth instar larvae showed that their expression levels were relatively low in somatic tissues, except for Enhancer of zeste (E(Z)). In addition, knockdown of each PRC2 component, such as E(Z), Extra sex combs (ESC), and Suppressor of zeste 12 (SU(Z)12), considerably decreased the global levels of H3K27me3 but not of H3K27me2. Taken together, these results suggest that insect PcG proteins are highly conserved during evolution and might play similar roles in embryogenesis.     

Identification of miRNAs and Their Target Genes Using Deep Sequencing and Degradome Analysis in Trifoliate Orange [<Emphasis Type="Italic">Poncirus trifoliate</Emphasis> (L.) Raf]

To identify novel as well as conserved miRNAs in citrus, deep sequencing of small RNA library combined with microarray was performed in precocious trifoliate orange (an early flowering mutant of trifoliate orange, Poncirus trifoliata L. Raf.), resulting in the obtainment of a total of 114 conserved miRNAs belonging to 38 families and 155 novel miRNAs. The miRNA star sequences of 39 conserved miRNAs and 27 novel miRNAs were also discovered among newly identified miRNAs, providing additional evidence for the existence of miRNAs. Through degradome sequencing, 172 and 149 genes were identified as targets of conserved miRNAs and novel miRNAs, respectively. GO and KEGG annotation revealed that high ranked miRNA-target genes were those implicated in biological and metabolic processes. To characterize those miRNAs expressed at the juvenile and adult development stages of citrus, further analysis on the expression profiles of these miRNAs through hybridizing the commercial microarray and real-time PCR was performed. The results revealed that some miRNAs were down-regulated at adult stage compared with juvenile stage. Detailed comparison of the expression patterns of some miRNAs and corresponding target genes revealed the negative correlation between them, while few of them are positively correlated.