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Metagenomic and metasecretomic analyses of an enrichment microbial consortium of anaerobic fungi to the degradation of sugarcane bagasse: prospection of cellulosomas and lignocellolytic enzymes

Grant number: 15/23279-6
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): June 01, 2016
Effective date (End): August 31, 2020
Field of knowledge:Biological Sciences - Genetics - Molecular Genetics and Genetics of Microorganisms
Principal researcher:Fábio Márcio Squina
Grantee:Geizecler Tomazetto
Home Institution: Pró-Reitoria Acadêmica. Universidade de Sorocaba (UNISO). Sorocaba , SP, Brazil
Associated research grant:14/06923-6 - Sugar cane biomass recalcitrance: basic knowledge related to the cell wall construction, pretreatment and enzymatic digestion, applied for the development of innovative biorefinery models, AP.BIOEN.TEM
Associated scholarship(s):18/23826-5 - Cellulosomes - a versatile enzymatic scaffold platform for bioconversion of lignocellulosic biomass into value-added fine chemicals, BE.EP.PD

Abstract

Second generation of biofuel derived from lignocellulosic biomass is a trend for future of the fuel market. In Brazil, there are several of studies to use sugarcane bagasse as carbon resource for bioethanol production. Rumen anaerobic fungi has its profile of lignocellulolytic enzymes yet unexplored, beyond there is lack of sufficient understanding of synergism and microbial interaction that occur during the process of biomass degradation within rumen. Likewise, rumen microbiome also represents a resource for prospection of fungal cellulosomes due to several dockerin sequences present in glycoside hydrolases. In contrast to bacterial cellulosomes, only few studies described the architecture and enzymes anchoring mechanism in fungal cellulosomes. In this context, the goal of this project will be to employ bovine rumen sample to construct a fungal anaerobic consortium degrading of sugarcane bagasse. The anaerobic fungal population within microbial consortium will be quantified by Real-Time PCR. Subsequently, the genetic and extracellular enzymes contents will be analyzed by metagenomic and metasecretomic approaches. Obtained datasets compilation will provide information for identification and reconstruction of fungal cellulosomes (in silico). The fungal cellulosomes identified will be cloned and expressed in Aspergillus nidulans. Finally, the enzymes revealed will be evaluated for its potential of complementing commercial lignocellulolytic cocktail.

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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)
ALVAREDO PAIXAO, DOUGLAS ANTONIO; TOMAZETTO, GEIZECLER; SODRE, VICTORIA RAMOS; GONCALVES, THIAGO A.; UCHIMA, CRISTIANE AKEMI; BUCHLI, FERNANDA; ALVAREZ, THABATA MARIA; PERSINOTI, GABRIELA FELIX; DA SILVA, MARCIO JOSE; BRAGATTO, JULIANO; LIBERATO, MARCELO VIZONA; FRANCO CAIRO, JOAO PAULO L.; PAES LEME, ADRIANA FRANCO; SQUINA, FABIO MARCIO. Microbial enrichment and meta-omics analysis identify CAZymes from mangrove sediments with unique properties. Enzyme and Microbial Technology, v. 148, AUG 2021. Web of Science Citations: 0.
TOMAZETTO, GEIZECLER; PIMENTEL, AGNES C.; WIBBERG, DANIEL; DIXON, NEIL; SQUINA, FABIO M. Multi-omic Directed Discovery of Cellulosomes, Polysaccharide Utilization Loci, and Lignocellulases from an Enriched Rumen Anaerobic Consortium. Applied and Environmental Microbiology, v. 86, n. 18 SEP 2020. Web of Science Citations: 1.
MORAES, EDUARDO C.; ALVAREZ, THABATA M.; PERSINOTI, GABRIELA F.; TOMAZETTO, GEIZECLER; BRENELLI, LIVIA B.; PAIXAO, DOUGLAS A. A.; EMATSU, GABRIELA C.; ARICETTI, JULIANA A.; CALDANA, CAMILA; DIXON, NEIL; BUGG, TIMOTHY D. H.; SQUINA, FABIO M. Lignolytic-consortium omics analyses reveal novel genomes and pathways involved in lignin modification and valorization. BIOTECHNOLOGY FOR BIOFUELS, v. 11, MAR 22 2018. Web of Science Citations: 10.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.