Advanced search
Start date
Betweenand

Integrative analysis applied to ethanol tolerance in Saccharomyces cerevisiae strains: an approach using transcriptomes, proteomes, system biology and machine learning

Grant number:15/12093-9
Support Opportunities:Program for Research on Bioenergy (BIOEN) - Regular Program Grants
Start date: September 01, 2015
End date: September 30, 2017
Field of knowledge:Biological Sciences - Microbiology - Biology and Physiology of Microorganisms
Principal Investigator:Guilherme Targino Valente
Grantee:Guilherme Targino Valente
Host Institution: Faculdade de Ciências Agronômicas (FCA). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil
City of the host institution:Botucatu
Associated researchers:Rejane Maria Tommasini Grotto

Abstract

Nowadays the world demands to the reduction of fossil fuels is increasing and consequently the ethanol as a fuel has been shown as an excellent alternative source of energy. The yeast Saccharomyces cerevisiae is the microorganism most used to the ethanol production due to its high fermentative capacity and high resistance of stressors from this process. However, the ethanol concentration is one of the most limiting factors for the production of this fuel because the concentration increasing of this compound disturbs the cells and reduces the productivity. Usually the researches concerning the ethanol tolerance are prone to the biological description of this process or to the production/selection of more tolerant strains; on the other hand, the molecular and systemic aspects of this process are still poorly understood. Thus, the present project aim to generate and analyze the transcriptomes and proteomes of strains with different ethanol tolerances submitted to an experiment of this tolerance; the functional-comparative analysis will be the focus of this project to identify the systemic aspects relative to this phenotype. For this purpose, the differential expression analysis, protein-protein interactions, regulatory and metabolic networks will be retrieved, modeled, compared and the patterns for those systems will be extracted as well. The use of several techniques, methods, analysis, model constructions, pattern extraction and the further conclusions based on the expected results concerning the ethanol tolerance in S. cerevisiae phenomenon (which never was investigated under a systemic-integrative context as here proposed), will be the most important innovations brought with this project. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
More itemsLess items
Articles published in other media outlets ( ):
More itemsLess items
VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications (6)
(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)
ALMEIDA, RODRIGO DE OLIVEIRA; VALENTE, GUILHERME TARGINO. Predicting metabolic pathways of plant enzymes without using sequence similarity: Models from machine learning. PLANT GENOME, v. 13, n. 3, . (17/08463-0, 15/12093-9)
LAZARI, LUCAS CARDOSO; WOLF, IVAN RODRIGO; SCHNEPPER, AMANDA PIVETA; VALENTE, GUILHERME TARGINO. LncRNAs of Saccharomyces cerevisiae bypass the cell cycle arrest imposed by ethanol stress. PLOS COMPUTATIONAL BIOLOGY, v. 18, n. 5, p. 29-pg., . (15/19211-7, 17/08463-0, 15/12093-9)
DE ALMEIDA, LAUANA FOGACA; DE MORAES, LEONARDO NAZARIO; DOS SANTOS, LUCILENE DELAZARI; VALENTE, GUILHERME TARGINO. Development and comparative analysis of yeast protein extraction protocols for mass spectrometry. Analytical Biochemistry, v. 567, p. 90-95, . (15/12093-9)
SCHNEPPER, AMANDA PIVETA; MARQUES, LUCAS FARINAZZO; WOLF, IVAN RODRIGO; KUBO, AGATHA M. S.; VALENTE, GUILHERME TARGINO. Potential global cis and trans regulation of lncRNAs in Saccharomyces cerevisiae subjected to ethanol stress. Gene, v. 920, p. 4-pg., . (17/08463-0, 15/12093-9)
WOLF, IVAN RODRIGO; SIMOES, RAFAEL PLANA; VALENTE, GUILHERME TARGINO. Three topological features of regulatory networks control life-essential and specialized subsystems. SCIENTIFIC REPORTS, v. 11, n. 1, . (15/12093-9, 15/19211-7)
SCHNEPPER, AMANDA PIVETA; KUBO, AGATHA M. S.; PINTO, CAMILA MOREIRA; GOMES, RAMON HERNANY MARTINS; FIORETTO, MATHEUS NAIA; JUSTULIN, LUIS ANTONIO; BRAZ, ALINE M. M.; GOLIM, MARJORIE DE ASSIS; GROTTO, REJANE M. T.; VALENTE, GUILHERME TARGINO. Long Noncoding RNAs Responding to Ethanol Stress in Yeast Seem Associated with Protein Synthesis and Membrane Integrity. GENES, v. 16, n. 2, p. 14-pg., . (22/02261-5, 15/12093-9, 17/08463-0)