New strand to biomolecules discovery, laccases with biotechnological applications (LBMPMetaDB)

• Grant number: 16/23892-2
• Support Opportunities: Regular Research Grants
• Start date: September 01, 2017
• End date: August 31, 2019
• Field of knowledge: Agronomical Sciences - Agronomy - Soil Science
• Principal Investigator: Eliana Gertrudes de Macedo Lemos
• Grantee: Eliana Gertrudes de Macedo Lemos
• Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
• Associated researchers: Camila Cesario Fernandes ; Daniel Guariz Pinheiro ; Elisângela Soares Gomes Pepe ; Erica Mendes Lopes ; Luciano Takeshi Kishi

Abstract

Metagenomic and genomic data mining has grown exponentially in recent years, due to the large amount of data generated by next generation sequencing however there is an overload in the databases used for the analysis. The structure of a database that allows to understand analyze and possibly exploring genes and organisms within the research group would give more speed to the polls with the ease of access to great information in the genomes and metagenomas and thus help research groups to explore the results obtained in several studies, in order to uncover the untapped, both at the level of organisms such as genes and secondary metabolites. The objective of this project is to implement a WEB system for assembly and annotation Metagenomics through pipelines tested by the group, serving as a system that can be used for any type of metagenomic a local bank of genes from the result of mining those with biotechnological interest, and thus prospect important and versatile enzymes such as laccases for biotechnological applications e.g. in bioremediation and bioenergy among others, and further evaluating the difference as the different functions and structures. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

FERNANDES, GABRIELA CABRAL; SIERRA, ELWI GUILLERMO MACHADO; BREAR, PAUL; PEREIRA, MARIANA RANGEL; LEMOS, ELIANA G. M.. From Data Mining of Chitinophaga sp. Genome to Enzyme Discovery of a Hyperthermophilic Metallocarboxypeptidase. MICROORGANISMS, v. 9, n. 2, FEB 2021. (16/23892-2)