Non-target molecular network and putative genes of flavonoid biosynthesis in Erythrina velutina Willd., a Brazilian semiarid native woody plant

Erythrina velutina Willd.: A review of its traditional uses, phytochemistry, pharmacology, and toxicology

ETHNOPHARMACOLOGICAL RELEVANCE

Erythrina velutina Willd., commonly known as "mulungu" in Brazil, is a leguminous tree with various traditional medicinal uses. These uses include treating insomnia, central nervous system disorders, convulsions, nervous cough, and inflammation.

AIM OF THE REVIEW

This review aims to comprehensively summarize the ethnomedicinal uses, chemical constituents, pharmacology, and toxicology of E. velutina to explore its potential as a source for new therapeutic agents.

MATERIALS AND METHODS

Information was collected from scientific databases, dissertations, and books. Chemical structures were generated using ChemDraw. To ensure the accuracy of the plant names, "World Flora Online" (www.worldfloraonline.org) was consulted for the accepted names of plants.

RESULTS

E. velutina is indigenous to Brazil, Peru, Ecuador, Colombia, Venezuela, and Hispaniola. Approximately 244 compounds, mainly alkaloids and flavonoids, have been isolated from it. The plant and its extracts have exhibited various bioactivities, such as anti-inflammatory, anxiolytic, anticonvulsant, neuroprotective, analgesic, antimicrobial, and antioxidant effects, validating some of its traditional medicinal uses. Erythrina velutina shows promising therapeutic potential for conditions like convulsion, central nervous disorders, anxiety, insomnia, and inflammation, primarily due to its alkaloid and flavonoid content.

CONCLUSION

The traditional medicinal uses of the plant, combined with modern scientific research, underscore its pharmacological potential. This makes it a significant candidate for drug development. Further research should focus on conducting toxicological studies, clinical trials, and mechanistic investigations. These efforts will enable a comprehensive exploration of its pharmacological properties and potential applications in drug development.

Integrated Transcriptomic and Metabolomics Analysis of the Root Responses of Orchardgrass to Submergence Stress

Submergence stress can severely affect plant growth. Orchardgrass (Dactylis glomerata L.) is an important forage grass, and the molecular mechanisms of orchardgrass to submergence stress are not well understood. The roots of the flood-tolerant cultivar "Dian Bei" were harvested at 0 h, 8 h and 24 h of submergence stress. The combined transcriptomic and metabolomic analyses showed that β-alanine metabolism, flavonoid biosynthesis, and biosynthesis of amino acid pathways were significantly enriched at 8 h and 24 h of submergence stress and were more pronounced at 24 h. Most of the flavonoid biosynthesis-related genes were down-regulated for the synthesis of metabolites such as naringenin, apigenin, naringin, neohesperidin, naringenin chalcone, and liquiritigenin in response to submergence stress. Metabolites such as phenylalanine, tyrosine, and tryptophan were up-regulated under stress. The predominant response of flavonoid and amino acids biosynthesis to submergence stress suggests an important role of these pathways in the submergence tolerance of orchardgrass.

LC-HRMS/MS-Based Metabolomics Approaches Applied to the Detection of Antifungal Compounds and a Metabolic Dynamic Assessment of Orchidaceae

The liquid chromatography-mass spectrometry (LC-MS)-based metabolomics approach is a powerful technology for discovering novel biologically active molecules. In this study, we investigated the metabolic profiling of Orchidaceae species using LC-HRMS/MS data combined with chemometric methods and dereplication tools to discover antifungal compounds. We analyze twenty ethanolic plant extracts from Vanda and Cattleya (Orchidaceae) genera. Molecular networking and chemometric methods were used to discriminate ions that differentiate healthy and fungal-infected plant samples. Fifty-three metabolites were rapidly annotated through spectral library matching and in silico fragmentation tools. The metabolomic profiling showed a large production of polyphenols, including flavonoids, phenolic acids, chromones, stilbenoids, and tannins, which varied in relative abundance across species. Considering the presence and abundance of metabolites in both groups of samples, we can infer that these constituents are associated with biochemical responses to microbial attacks. In addition, we evaluated the metabolic dynamic through the synthesis of stilbenoids in fungal-infected plants. The tricin derivative flavonoid- and the loliolide terpenoidfound only in healthy plant samples, are promising antifungal metabolites. LC-HRMS/MS, combined with state-of-the-art tools, proved to be a rapid and reliable technique for fingerprinting medicinal plants and discovering new hits and leads.