Laboratório de Biologia Integrativa e Sistêmica

Prospection of key genes associated with p-coumaric acid resistance in an industrial S. cerevisiae strain using detection by network-enhanced gene communities detection

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Prospection of key genes associated with p-coumaric acid resistance in an industrial S. cerevisiae strain using network-enhanced gene communities

Ciamponi, F.E.£; Procópio, D. P.£; Murad, N.F.; Franco, T. T.; Basso, T. O.; Brandão, M.M.

£ Both authors has equally contributed to this work

Abstract

The production of ethanol from lignocellulosic sources presents increasingly difficult issues for the global biofuel scenario. Among the major setbacks encountered in industrial processes, the presence of chemical inhibitors derived from pre-treatment processes severely hinder the potential of yeasts in producing ethanol at peak efficiency. However, some industrial yeast strains have, either naturally or artificially, higher tolerance levels to these compounds. Such is the case of SA1, a Brazilian industrial strain that has shown high resistance to inhibitors produced by the pre-treatment of cellulosic complexes. Our study focuses on the characterization of the transcriptomic and physiological impact of an inhibitor of this type, called p-coumaric acid, on the SA1 strain under chemostat cultivation, using high-throughput RNA sequencing (RNAseq) and high-performance liquid chromatography (HPLC). We show that, when exposed to high concentrations of p-coumaric acid, SA1 yeasts tend to increase ethanol production while reducing biomass yield. Transcriptomic analysis also revealed a plethora of deferentially expressed genes under exposure of p-coumaric acid. These genes aggregate in co-expressed communities that are associated with changes in biological pathways linked to biosynthetic and energetical processes. Furthermore, we also identified 20 genes that act as interaction hubs for co-expressed gene communities, while also having association with altered pathways and changes in metabolic outputs, potentially leading to the discovery of novel targets for genetic engineering towards a more robust industrial yeast strain.in.

 

Supplementary material

 Raw sequencing data

BioProject ID: PRJNA764240