ABSTRACT
Centella asiatica (L.) Urb. has wound healing, anti-inflammatory, cognitive improvement, and neuroprotective properties which have been attributed to its centelloside content. However, the quantities of these bioactive compounds are limited and vary due to genetic and environmental factors. Light qualities are known to enhance the production of secondary metabolites in several plant species, both preharvest and postharvest. In this study, fresh leaves of C. asiatica were subjected to different light emitting diode (LED) quality including white, dark, red, blue, and green to assess centelloside content, phytochemical constituents, and transcription level expression of triterpenoid biosynthesis genes. Results showed that white and blue LEDs significantly increased centelloside content in C. asiatica leaves at 3 days postharvest (dph) by 73 % over the control group at 0 dph. Blue LEDs stimulated the expression of triterpenoid biosynthesis genes including C. asiatica squalene synthase (CaSQS), C. asiatica ß-amyrin synthase (CabAS), and C. asiatica UDP gluclosyltransferase-73AH1 (CaUGT73AH1; CaUGT), while different LED conditions gave diverse results. Red LED treatment triggered higher total flavonoid content (TFC) and total triterpenoid content (TTC) while white LEDs enhanced total triterpenoid content (TTC). Taken together, our findings suggest that postharvest under blue LEDs is a great approach to increase centelloside production of C. asiatica through gene up-regulation in triterpenoid pathway. Therefore, postharvest technology by LEDs serves as an effective tool for improving raw material quality for medicinal plant industries.
ABSTRACT
BACKGROUND: Herbal medicines have recently attracted increasing attention for use as food supplements with health benefits; however, species authentication can be difficult due to incomplete morphological characters. Here, a molecular tool was developed for the identification of species in the National List of Essential Medicinal Plants in Thailand. METHODS: The identification process used DNA fingerprints including start codon targeted (SCoT) and inter simple sequence repeat (ISSR) polymorphisms, coupled with high resolution melting (HRM), to produce melting fingerprint (MF)-HRM. RESULTS: Results indicated that MF-HRM, SCoT-HRM and ISSR-HRM could be used for DNA fingerprints as S34, S36, S9 and S8 of SCoT and UBC873, S25 and UBC841 of ISSR. The melting fingerprints obtained from S34 of SCoT exhibited the best primers for identification of herbal species with 87.5% accuracy and relatively high repeatability. The presence of intraspecific variation in a few species affected the shift of melting fingerprints within species. MF-HRM using S34 showed improved species prediction compared to DNA fingerprints. The concentration of DNA with 10 ng/µl was recommended to perform MF-HRM. MF-HRM enabled species authentication of herbal commercialized products at only 20% resulting from the low quality of DNA isolated, while admixture of multiple product species interfered with the MF process. CONCLUSION: Findings suggested that MF-HRM showed promise as a molecular tool for the authentication of species in commercial herbal products with high specificity, moderate repeatability and rapidity without prior sequence information. This information will greatly improve quality control and traceability during the manufacturing process.
