Identification and characterization of microRNAs and their target genes in Brassica oleracea

The microRNAs are a new class of small non-coding endogenous RNAs with lengths of approximately ~21 nt. MicroRNAs perform their biological function via the degradation of the target mRNAs or by inhibiting protein translation. Until recently, only limited numbers of miRNAs were identified in Brassica oleracea, a vegetable widely cultivated around the world. In present study, 193 potential miRNA candidates were identified from 17 expressed sequence tag (ESTs) and 152 genome survey sequences (GSSs) in B. oleracea. These miRNA candidates were classified into 70 families using a well-defined comparative genome-based computational analysis. Most miRNAs belong to the miRNA169, miR5021, miR156 and miR158 families. Of these, 36 miRNA families are firstly found in Brassica species. Around 1393 B. oleracea genes were predicted as candidate targets of 175 miRNAs. The mutual relationship between miRNAs and the candidate target genes was verified by checking differentially expression levels using quantitative real-time polymerase chain reaction (qRT-PCR) and 5' RLM-RACE analyses. These target genes participate in multiple biological and metabolic processes, including signal transduction, stress response, and plant development. Gene Ontology analysis shows that the 818, 514, and 265 target genes are involved in molecular functions, biological processes, and cellular component respectively. The Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway enrichment analysis suggests that these miRNAs might regulate 186 metabolic pathways, including those of lipid, energy, starch and sucrose, fatty acid and nitrogen.     

Identification and validation of Asteraceae miRNAs by the expressed sequence tag analysis

MicroRNAs (miRNAs) are small non-coding RNA molecules that play a vital role in the regulation of gene expression. Despite their identification in hundreds of plant species, few miRNAs have been identified in the Asteraceae, a large family that comprises approximately one tenth of all flowering plants. In this study, we used the expressed sequence tag (EST) analysis to identify potential conserved miRNAs and their putative target genes in the Asteraceae. We applied quantitative Real-Time PCR (qRT-PCR) to confirm the expression of eight potential miRNAs in Carthamus tinctorius and Helianthus annuus. We also performed qRT-PCR analysis to investigate the differential expression pattern of five newly identified miRNAs during five different cotyledon growth stages in safflower. Using these methods, we successfully identified and characterized 151 potentially conserved miRNAs, belonging to 26 miRNA families, in 11 genus of Asteraceae. EST analysis predicted that the newly identified conserved Asteraceae miRNAs target 130 total protein-coding ESTs in sunflower and safflower, as well as 433 additional target genes in other plant species. We experimentally confirmed the existence of seven predicted miRNAs, (miR156, miR159, miR160, miR162, miR166, miR396, and miR398) in safflower and sunflower seedlings. We also observed that five out of eight miRNAs are differentially expressed during cotyledon development. Our results indicate that miRNAs may be involved in the regulation of gene expression during seed germination and the formation of the cotyledons in the Asteraceae. The findings of this study might ultimately help in the understanding of miRNA-mediated gene regulation in important crop species.     

The Regulatory Roles of microRNAs and Associated Target Genes during Early Somatic Embryogenesis in <i>Liriodendron Sino-Americanum</i>

Somatic cells respond to considerable stress, and go through a series of phytohormone pathways, then forming an embryo. The developmental process is recorded as somatic embryogenesis (SE). One of the key components regulating SE are the microRNAs (miRNAs). Despite previous studies, it is still not clear exactly how miRNAs exert their function of regulating targets during conditionally activated early SE. Here, we use Liriodendron sino-americanum as a model system and perform a combined analysis of microfluidic chips and degradome sequencing to study this process. We identified a total of 386 conserved miRNAs and 153 novel miRNAs during early SE. According to the ANOVA test, 239 miRNAs showed 12 distinct expression patterns. Through degradome sequencing, 419 targets and 198 targets were identified for 136 known miRNAs and 37 novel miRNAs, respectively. Gene Ontology (GO) and metabolism pathway enrichment analysis revealed that these targets were significantly involved in oxidation-reduction processes, calmodulin-mediated signal transduction pathways and carbohydrate metabolism. The genes that were related to stress responses, phytohormone pathways and plant metabolism were identified within the targets of miR319, miR395, miR408, miR472, miR482, miR390, miR2055, miR156, miR157, miR171, miR396, miR397, miR529, miR535 and miR159. According to promoter analysis, various cis-acting elements related to plant growth and development, phytohormones response and stress response were present in the promoter of the miRNAs. The differential expression patterns of 11 miRNA-target modules were confirmed by real-time quantitative PCR. The study demonstrated that the miRNA plays an important role in the early SE process by regulating its target and then participating in carbohydrate metabolism and stress response. It also provided a valuable resource for further research in determining the genetic mechanism of SE, and then facilitating breeding programs on plants.     

A bioinformatics-based update on microRNAs and their targets in rainbow trout (Oncorhynchus mykiss)

MicroRNAs (miRNAs) participate in various vitally biological processes via controlling target genes activity and thousands of miRNAs have been identified in many species to date, including 18,698 known animal miRNA in miRBase. However, there are only limited studies reported in rainbow trout (Oncorhynchus mykiss) especially via the computational-based approaches. In present study, we systematically investigated the miRNAs in rainbow trout using a well-developed comparative genome-based homologue search. A total of 196 potential miRNAs, belonging to 124 miRNA families, were identified, most of which were firstly reported in rainbow trout. The length of miRNAs ranged from 17 to 24 nt with an average of 20 nt while the length of their precursors varied from 47 to 152 nt with an average of 85 nt. The identified miRNAs were not evenly distributed in each miRNA family, with only one member per family for a majority, and multiple members were also identified for several families. Nucleotide U was dominant in the pre-miRNAs with a percentage of 30.04%. The rainbow trout pre-miRNAs had relatively high negative minimal folding free energy (MFE) and adjusted MFE (AMFE). Not only the mature miRNAs but their precursor sequences are conserved among the living organisms. About 2466 O. mykiss genes were predicted as potential targets for 189 miRNAs. Gene Ontology (GO) analysis showed that nearly 2093, 2107, and 2081 target genes are involved in cellular component, molecular function, and biological processes respectively. KEGG pathway enrichment analysis illuminated that these miRNAs targets might regulate 105 metabolic pathways, including those of purine metabolism, nitrogen metabolism, and oxidative phosphorylation. This study has provided an update on rainbow trout miRNAs and their targets, which represents a foundation for future studies.     

Bioinformatic identification and experimental validation of miRNAs from foxtail millet (Setariaitalica)

MiRNAs are a novel group of non-coding small RNAs that negatively regulate gene expression. Many miRNAs have been identified and investigated extensively in plant species with sequenced genomes. However, few miRNAs have been identified in foxtail millet (Setaria italica), which is an ancient cereal crop of great importance for dry land agriculture. In this study, 271 foxtail millet miRNAs belonging to 44 families were identified using a bioinformatics approach. Twenty-three pairs of sense/antisense miRNAs belonging to 13 families, and 18 miRNA clusters containing members of 8 families were discovered in foxtail millet. We identified 432 potential targets for 38 miRNA families, most of which were predicted to be involved in plant development, signal transduction, metabolic pathways, disease resistance, and environmental stress responses. Gene ontology (GO) analysis revealed that 101, 56, and 23 target genes were involved in molecular functions, biological processes, and cellular components, respectively. We investigated the expression patterns of 43 selected miRNAs using qRT-PCR analysis. All of the miRNAs were expressed ubiquitously with many exhibiting different expression levels in different tissues. We validated five predicted targets of four miRNAs using the RNA ligase mediated rapid amplification of cDNA end (5′-RLM-RACE) method.     

Computational identification of conserved microRNAs and their putative targets in the Hypericum perforatum L. flower transcriptome

MicroRNAs (miRNAs) have recently emerged as important regulators of gene expression in plants. Many miRNA families and their targets have been extensively studied in model species and major crops. We have characterized mature miRNAs along with their precursors and potential targets in Hypericum to generate a comprehensive list of conserved miRNA families and to investigate the regulatory role of selected miRNAs in biological processes that occur in the flower. St. John’s wort (Hypericum perforatum L., 2n = 4x = 32), a medicinal plant that produces pharmaceutically important metabolites with therapeutic activities, was chosen because it is regarded as an attractive model system for the study of apomixis. A computational in silico prediction of structure, in combination with an in vitro validation, allowed us to identify 7 pre-miRNAs, including miR156, miR166, miR390, miR394, miR396, and miR414. We demonstrated that H. perforatum flowers share highly conserved miRNAs and that these miRNAs potentially target dozens of genes with a wide range of molecular functions, including metabolism, response to stress, flower development, and plant reproduction. Our analysis paves the way toward identifying flower-specific miRNAs that may differentiate the sexual and apomictic reproductive pathways.     

Deep sequencing identified potential miRNAs involved in defence response,stress and plant growth characteristics of wild genotypes of cardamom

• Cardamom has long been used as a food flavouring agent and in ayurvedic medicines for mouth ulcers, digestive problems and even depression. Extensive occurrence of pests and diseases adversely affect its cultivation and result in substantial reductions in total production and productivity. Numerous studies revealed the significant role of miRNAs in plant biotic stress responses.
• In the current study, miRNA profiling of cultivar and wild cardamom genotypes was performed using an Ion Proton sequencer.
• We identified 161 potential miRNAs representing 42 families, including monocot/tissue‐specific and 14 novel miRNAs in both genotypes. Significant differences in miRNA family abundance between the libraries were observed in read frequencies. A total of 19 miRNAs (from known miRNAs) displayed a twofold difference in expression between wild and cultivar genotypes. We found 1168 unique potential targets for 40 known miRNA families in wild and 1025 potential targets for 42 known miRNA families in cultivar genotypes. The differential expression analysis revealed that most miRNAs identified were highly expressed in cultivars and, furthermore, lower expression of miR169 and higher expression of miR529 in wild cardamom proved evidence that wild genotypes have stronger drought stress tolerance and floral development than cultivars.
• Potential targets predicted for the newly identified miRNAs from the miRNA libraries of wild and cultivar cardamom genotypes involved in metabolic and developmental processes and in response to various stimuli. qRT‐PCR confirmed miRNAs were differentially expressed between wild and cultivar genotypes. Furthermore, four target genes were validated experimentally to confirm miRNA–mRNA target pairing using RNA ligase‐mediated 5′ Rapid Amplification of cDNA Ends (5′RLM‐RACE) PCR.