Identification of systemic signatures associated to ethanol tolerance in Saccharomyces cerevisiae strains

• Grant number: 15/19211-7
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: March 01, 2017
• End date: July 31, 2019
• Field of knowledge: Biological Sciences - Genetics - Molecular Genetics and Genetics of Microorganisms
• Principal Investigator: Guilherme Targino Valente
• Grantee: Ivan Rodrigo Wolf
• Host Institution: Faculdade de Ciências Agronômicas (FCA). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil

Abstract

The interest to develop the biofuels, such as bioethanol, has been increasing in the last years. The most common process to produce bioethanol is the first generation technology, in which the most used organism is the yeast Saccharomyces cerevisiae. However, the high concentration of ethanol induces cell toxicity in this yeast, constituting the main limiting factor to produce this fuel. Despite of lots of effort to understand this phenomenon have been applied, the ethanol tolerance is poorly understood from systemic perspective. Thus, the aim of this project is to identify the systemic signatures associated to ethanol tolerance using bioinformatics tools, transcriptome analysis, artificial intelligence and modeling of dynamic networks. The preliminary results of this study showed that the network features represent feasible biological networks. Moreover, it is the first time that clustering of edge degrees for all generated networks reports that degree properties are closely related to the ethanol tolerance in yeast (the clusters obey the ethanol percentages). Thus, we expect that this proposal allow fundamental knowledge increasing concerning this phenomena; moreover the result may be used for technological application, allowing to rank the best genes/process candidates to genetic engineering focused to increase the ethanol tolerance. This project is part of a Regular Project FAPESP (process number 2015/12093-9) managed by professor Guilherme Targino Valente; preliminary results of this project are also included here. Additional documents to evaluate this proposal are also inserted in the end of this document.

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)

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, DEC 20 2021. (15/12093-9, 15/19211-7)

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., 2022-05-01. (15/19211-7, 17/08463-0, 15/12093-9)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

WOLF, Ivan Rodrigo. Identification of systemic signatures associated to ethanol tolerance in Saccharomyces cerevisiae strains. 2019. Doctoral Thesis - Universidade Estadual Paulista (Unesp). Instituto de Biociências. Botucatu Botucatu.