| Grant number: | 14/01884-2 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | July 01, 2014 |
| End date: | July 31, 2016 |
| Field of knowledge: | Health Sciences - Pharmacy |
| Agreement: | Coordination of Improvement of Higher Education Personnel (CAPES) |
| Principal Investigator: | Norberto Peporine Lopes |
| Grantee: | Ricardo Roberto da Silva |
| Host Institution: | Faculdade de Ciências Farmacêuticas de Ribeirão Preto (FCFRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil |
| Associated scholarship(s): | 15/03348-3 - Improvement of molecular networking using in silico fragmentation and subnetwork storage and search, BE.EP.PD |
Abstract The natural product bioprospection is a complex and laborious process, with a high average cost and intensive manual inspection to isolate and identify active compounds from a natural product source. Brazilian endemic species of Lychnophora (Asteraceae) figure as a rich plant genus that have been used as the source for natural products exploration. Public compendia of molecular information with biological hierarchical organization of catalytic and regulatory genome potential, metabolic pathways and compounds potentially produced by a given organism, are incipient, often lacking for Lychnophora species. Recent studies of genome scale metabolism reconstruction perform exhaustive searches of genetic and biochemical information about a particular organism, reconstructing the known metabolism for the same. This approach allows a better inference of an organism chemical potential, enhancing its biotechnological exploitation. Besides the absence of molecular information compendia for Lychnophora metabolism inference, with conventional methods to analise plant extracts, the spatial information of metabolites in tissue, cells and organelles is lost. The IMS technique (Imaging Mass Spectrometry) allows the mass spectra collection for hundreds to thousands of points at predefined coordinates of a tissue area. With this spectras a map of the tissue distribution of the target substance can be built. The use of a compendium of biologically hierarchical known compounds for Lychnophora, and its compartmentalization in reactions and metabolic pathways, allows the natural product search in spatially defined regions of plant tissue and can be very useful for understanding their biological function as well as to guide its isolation improvement. Given the great complexity of the datasets produced in MALDI-imaging experiments and the lack of databases for metabolite comparison and inference of biochemical processes, this project aims to build a database with hierarchical genetic and biochemical information of Lychnophora phylogenetically related species and perform the inference by graphs of spatially specific metabolic pathways, using data obtained from IMS . (AU) | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
| More itemsLess items | |
| TITULO | |
| Articles published in other media outlets ( ): | |
| More itemsLess items | |
| VEICULO: TITULO (DATA) | |
| VEICULO: TITULO (DATA) | |