Molecular characterization of Saccharomyces cerevisiae industrial strains under high ethanol conditions in industrial fermenters

MsC. Thiago Sena

PhD

Starts: March, 2019

 

Ethanol production has been receiving great prominence and investments worldwide given that biofuel is a renewable energy source, which contributes to the reduction of greenhouse gas emissions. Especially in Brazil, bioethanol production is encouraged because it not only supports the achievement of the Brazilian government's environmental goals, but also due to the fact that Brazil is one of the world’s largest producers and sugarcane industry has considerable impact in the economy. The production process embraced by the Brazilian industry is the biological one, using Saccharomyces cerevisiae yeast in the fermentation of the
must obtained from sugarcane. New technologies are being developed with the aim of increasing the productivity of fermentative cycles, including Very High Gravity Fermentation (VHG), which uses high concentrations of sugars. However, this particular technique as well as other procedures used in bioethanol plants subject yeasts to highly stressful conditions, reducing cell viability. The sugar and alcohol industry mainly uses wild strains PE-2 and CAT-1, which are more resistant to the industrial environment. The elucidation of the various stress response processes is of great relevance for the selection and obtainability of the most
efficient S. cerevisiae strains. The present work focus on the molecular characterization of the two main strains used by the Brazilian bioethanol industry (PE-2 and CAT-1), it’s gene expression analysis and identification of the main active metabolic pathways during the fermentation cycle. The data, obtained by microarray and RNA-Seq techniques, will be annotated and analyzed using computational analytical tools in order to recognize which are
the main metabolic pathways active during the alcoholic fermentation process in the bioethanol production.
  Linha de pesquisa Caracterização sistêmica e integrativa da transcriptômica de Saccharomyces cerevisiae para produção de bioprodutos