Genome-Wide Identification and Characterization of MicroRNAs and Target Genes in Lonicera japonica
نویسندگان
چکیده
MiRNAs function in post-transcriptional regulation of gene expression and play very important roles in plant development. Lonicera japonica is one of the important medicinal plants in China. However, few studies on the discovery of conserved and novel miRNAs from L. japonica were reported. In this study, we employed deep sequencing technology to identify miRNAs in leaf and flower tissues of L. japonica. A total of 22.97 million clean reads from flower and leaf tissues were obtained, which generated 146 conserved miRNAs distributed in 20 families and 110 novel miRNAs. Accordingly, 72 differentially expressed miRNAs (P≤0.001) between leaves and flowers and their potential target genes were identified and validated. The qRT-PCR validation showed that majority of the differentially expressed miRNAs showed significant tissue-specific expression in L. japonica. Furthermore, the miRNA-mRNA and mRNA-mRNA regulatory networks were constructed using Cytoscape software. Taken together, this study identified a large number of miRNAs and target genes in L. japonica, which not only provides the first global miRNA expression profiles, but also sheds light on functional genomics research on L. japonica in the future.
منابع مشابه
Validation of Suitable Reference Genes for Assessing Gene Expression of MicroRNAs in Lonicera japonica
MicroRNAs (miRNAs), which play crucial regulatory roles in plant secondary metabolism and responses to the environment, could be developed as promising biomarkers for different varieties and production areas of herbal medicines. However, limited information is available for miRNAs from Lonicera japonica, which is widely used in East Asian countries owing to various pharmaceutically active secon...
متن کاملIdentification of microRNAs in corpus luteum of pregnancy in buffalo (Bubalus bubalis) by deep sequencing
This study was aimed to identify miRNAs of corpus luteum (CL) in buffaloes during pregnancy. For this study, CL (n=2) were collected from gravid uteri of buffalo and RNA was isolated. Following this, the purity and integrity of RNA was checked and used for deep sequencing using Illumina Hiseq 2500 platform. The reads’ quality was checked prior to in silico analyses viz. identification of conser...
متن کاملGenome-wide computational prediction of miRNAs in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) revealed target genes involved in pulmonary vasculature and antiviral innate immunity
The current outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)in China threatened humankind worldwide. The coronaviruses contains the largest RNA genome among all other known RNA viruses, therefore the disease etiology can be understood by analyzing the genome sequence of SARS-CoV-2. In this study, we used an ab-intio based computational tool VMir to scan the complete geno...
متن کاملIn silico identification of miRNAs and their target genes and analysis of gene co-expression network in saffron (Crocus sativus L.) stigma
As an aromatic and colorful plant of substantive taste, saffron (Crocus sativus L.) owes such properties of matter to growing class of the secondary metabolites derived from the carotenoids, apocarotenoids. Regarding the critical role of microRNAs in secondary metabolic synthesis and the limited number of identified miRNAs in C. sativus, on the other hand, one may see the point how the characte...
متن کاملUnveiling the genetic loci for a panicle developmental trait using genome-wide association study in rice
Panicle size has a high correlation with grain yield in rice. There is a bottleneck to identify the additional quantitative trait loci (QTL) for panicle size due to the conventional traits used for QTL mapping. To identify more genetic loci for panicle size, a panicle developmental trait (LNTB, the length from panicle neck-knot to the first primary branch in the rachis) related to panicle size ...
متن کامل