Recent achievements in plant microRNA (miRNA), a large class of small and non-coding RNAs, are very exciting. A wide array of techniques involving forward genetic, molecular cloning, bioinformatic analysis, and the latest technology, deep sequencing have greatly advanced miRNA discovery. A tiny miRNA sequence has the ability to target single/multiple mRNA targets. Most of the miRNA targets are transcription factors (TFs) which have paramount importance in regulating the plant growth and development. Various families of TFs, which have regulated a range of regulatory networks, may assist plants to grow under normal and stress environmental conditions. This present review focuses on the regulatory relationships between miRNAs and different families of TFs like; NF-Y, MYB, AP2, TCP, WRKY, NAC, GRF, and SPL. For instance NF-Y play important role during drought tolerance and flower development, MYB are involved in signal transduction and biosynthesis of secondary metabolites, AP2 regulate the floral development and nodule formation, TCP direct leaf development and growth hormones signaling. WRKY have known roles in multiple stress tolerances, NAC regulate lateral root formation, GRF are involved in root growth, flower, and seed development, and SPL regulate plant transition from juvenile to adult. We also studied the relation between miRNAs and TFs by consolidating the research findings from different plant species which will help plant scientists in understanding the mechanism of action and interaction between these regulators in the plant growth and development under normal and stress environmental conditions.
In current era, majority of microRNA (miRNA) are being discovered through computational approaches which are more confined towards model plants. Here, for the first time, we have described the identification and characterization of novel miRNA in a non-model plant, Persicaria minor (P. minor) using computational approach. Unannotated sequences from deep sequencing were analyzed based on previous well-established parameters. Around 24 putative novel miRNAs were identified from 6,417,780 reads of the unannotated sequence which represented 11 unique putative miRNA sequences. PsRobot target prediction tool was deployed to identify the target transcripts of putative novel miRNAs. Most of the predicted target transcripts (mRNAs) were known to be involved in plant development and stress responses. Gene ontology showed that majority of the putative novel miRNA targets involved in cellular component (69.07%), followed by molecular function (30.08%) and biological process (0.85%). Out of 11 unique putative miRNAs, 7 miRNAs were validated through semi-quantitative PCR. These novel miRNAs discoveries in P. minor may develop and update the current public miRNA database.
Persicaria minor (Kesum) is an important medicinal plant with high level of secondary metabolite contents, especially, terpenoids and flavonoids. Previous studies have revealed that application of exogenous phytohormone could increase secondary metabolite contents of the plant. MicroRNAs (miRNAs) are small RNAs that play important regulatory roles in various biological processes. In order to explore the possible role of miRNA in the regulation of these phytohormones signaling pathway and uncovering their potential correlation, we, for the first time, have generated the smallRNA library of Kesum plant. The library was developed in response to methyl jasmonate (MJ) and abscisic acid (ABA) treatment by using next-generation sequencing technology. Raw reads have been deposited to SRA database with the accession numbers, SRX2655642 and SRX2655643 (MJ-treated), SRXSRX2655644 and SRX2655645 (ABA-treated) and SRX2655646and SRX2655647 (Control).
Persicaria minor (kesum) is an important medicinal plant and commonly found in southeast countries; Malaysia, Thailand, Indonesia, and Vietnam. This plant is enriched with a variety of secondary metabolites (SMs), and among these SMs, terpenoids are in high abundance. Terpenoids are comprised of many valuable biomolecules which have well-established role in agriculture and pharmaceutical industry. In P. minor, for the first time, we have generated small RNAs data sets, which can be used as tool in deciphering their roles in terpenoid biosynthesis pathways. Fungal pathogen, Fusarium oxysporum was used as elicitor to trigger SMs biosynthesis in P. minor. Raw reads and small RNA analysis data have already been deposited at GenBank under the accessions; SRX2645684 (Fusarium-treated), SRX2645685 (Fusarium-treated), SRX2645686 (mock-infected), and SRX2645687 (mock-infected).
A simple optical pH sensor based on immobilization, Dioscorea alata L. anthocyanin methanol extract, onto a pectin-chitosan polyelectrolyte complex (pectin-chitosan PEC), has been successfully fabricated. The optical pH sensor was manufactured as a membrane made of pectin-chitosan PEC and the extracted anthocyanin. This sensor has the highest sensitivity of anthocyanin content at 0.025 mg/L in phosphate buffer and 0.0375 mg/L in citrate buffer. It also has good reproducibility with a relative standard deviation (%RSD) of 7.7%, and gives a stable response at time values greater than 5 min from exposure in a buffer solution, and the sensor can be utilized within five days from its synthesis. This optical pH sensor has been employed to determine saliva pH of people of different ages and showed no significant difference when compared to a potentiometric method.
A simple optical pH sensor using the active compound anthocyanin (ACN), derived Ruellia tuberosa L. flower immobilized in a pectin membrane matrix, was been fabricated and employed to monitor the freshness of tilapia fish at room temperature and 4 oC storage. The quantitative pH values were measured based on the UV-Vis spectroscopy absorbance. The optimum pectin weight and ACN concentrations were 0.1% and 0.025 mg/L. The sensor showed good sensitivity at 0.03 M phosphate buffer solution. The sensor's reproducibility was evaluated using 10 replicate sensors where a standard deviation of 0.045 or relative standard deviation of 9.15 was achieved. The sensor displayed an excellent response after 10 minutes of exposure, possessing a response stability for 10 consecutive days. The decrease in pH value of the Tilapia fish from 7.3 to 5 was observed in a 48 hour test, which can be used as the parameter when monitoring fish freshness. Overall, this reported optical pH sensor has a novelty as it could be used to monitor the rigor mortis phase of fish meat, which is useful in food industry.