8-28: Analysis of the Aspergillus oryzae transcriptome in relation to enzymatic degradation of sugarcane bagasse

Tuesday, April 30, 2013
Exhibit Hall
G.E.O. Midorikawa1, E.F. Noronha1, E.X. Ferreira Filho1, R.C. Togawa2, O. Silva Jr2 and R.N.G. Miller1, (1)Departamento de Biologia Celular, Universidade de Brasília, Brasília, Brazil, (2)Embrapa Recursos Genéticos e Biotecnologia, Brasília, Brazil
Fungi are an important source of hydrolytic enzymes for industrial scale-based conversion of lignocellulose residues to fermentable sugars for application in second generation biofuel production. The principal objective of our study was to examine the transcriptome in Aspergillus oryzae BLU37, a promising fungal strain for hydrolytic enzyme production on lignocellulose sources. A. oryzae spore suspensions at a final concentration of 1 x 108 spores/mL were used to inoculate semi-solid and liquid media cultures containing a minimal medium plus specific carbon source [glucose 0.5% (w/v); pre-treated sugarcane bagasse (pH 7.0) 1% (w/v)]. Cultures were incubated at 28°C over a time-course of 36 h and 48 h, totaling eight distinct treatments carried out in duplicate. Following total RNA isolation from harvested fungal mycelia, messenger RNA isolation, full-length enriched cDNA library preparation and Illumina RNAseq (www.Illumina.com) was carried out by Eurofins MWG Operon (Alabama, USA). Quality-trimmed reads were mapped to the A. oryzae RIB40 genome (National Research Institute of Brewing Stock Culture ATCC-42149). The Carbohydrate-Active Enzyme database (CAZy - http://www.cazy.org/) identified 100 glycoside hydrolases, 11 polysaccharide lyases, 17 glycosyl transferases and 16 carbohydrate esterases expressed by A. oryzae under liquid growth condition treatment with statistically significant differences in expression (padj < 0.01). A total of 42 transcription factors were also identified according to the Fungal Transcription Factor Database (FTFD - http://ftfd.snu.ac.kr). Ongoing analysis of differentially expressed genes through QRT-PCR will contribute to our understanding of the complexity of the A. oryzae transcriptome, for long term employment of this fungus in second generation biofuel development.