Comparative metabolism of cellulose, sophorose and glucose in Trichoderma reesei using high-throughput genomic and proteomic analyses

Author(s):Show less -

Castro, Lilian dos Santos ^[1] ; Pedersoli, Wellington Ramos ^[1] ; Antonio, Amanda Cristina Campos ^[1] ; Steindorff, Andrei Stecca ^[2] ; Silva-Rocha, Rafael ^[1] ; Martinez-Rossi, Nilce M. ^[3] ; Rossi, Antonio ^[1] ; Brown, Neil Andrew ^{[4, 5]} ; Goldman, Gustavo H. ^{[4, 5]} ; Faa, Vitor M. ^[1] ; Persinoti, Gabriela F. ^[3] ; Silva, Roberto Nascimento ^[1]

Affiliation

^[1] Univ Sao Paulo, Ribeirao Preto Med Sch, Dept Biochem & Immunol, BR-14049900 Ribeirao Preto, SP - Brazil

^[2] Univ Brasilia, Dept Biol Celular, BR-70910900 Brasilia, DF - Brazil

^[3] Univ Sao Paulo, Ribeirao Preto Med Sch, Dept Genet, BR-14049900 Ribeirao Preto, SP - Brazil

^[4] Univ Sao Francisco, Fac Ciencias Farmaceut Ribeirao Preto, Campinas - Brazil

^[5] Lab Nacl Ciencia & Technol Bioetanol, Campinas - Brazil

• Document type: Journal article
• Source: BIOTECHNOLOGY FOR BIOFUELS; v. 7, MAR 21 2014.
• Web of Science Citations: 44

Abstract

Background: The filamentous fungus Trichoderma reesei is a major producer of lignocellulolytic enzymes utilized by bioethanol industries. However, to achieve low cost second generation bioethanol production on an industrial scale an efficient mix of hydrolytic enzymes is required for the deconstruction of plant biomass. In this study, we investigated the molecular basis for lignocellulose-degrading enzyme production T. reesei during growth in cellulose, sophorose, and glucose. Results: We examined and compared the transcriptome and differential secretome (2D-DIGE) of T. reesei grown in cellulose, sophorose, or glucose as the sole carbon sources. By applying a stringent cut-off threshold 2,060 genes were identified as being differentially expressed in at least one of the respective carbon source comparisons. Hierarchical clustering of the differentially expressed genes identified three possible regulons, representing 123 genes controlled by cellulose, 154 genes controlled by sophorose and 402 genes controlled by glucose. Gene regulatory network analyses of the 692 genes differentially expressed between cellulose and sophorose, identified only 75 and 107 genes as being specific to growth in sophorose and cellulose, respectively. 2D-DIGE analyses identified 30 proteins exclusive to sophorose and 37 exclusive to cellulose. A correlation of 70.17% was obtained between transcription and secreted protein profiles. Conclusions: Our data revealed new players in cellulose degradation such as accessory proteins with non-catalytic functions secreted in different carbon sources, transporters, transcription factors, and CAZymes, that specifically respond in response to either cellulose or sophorose. (AU)

• FAPESP's process: 10/15683-8 - Studies of cellular signaling and induction mechanisms of cellulases formation by the fungus Trichoderma reesei (Hypocrea jecorina)
• Grantee: Roberto do Nascimento Silva
• Support Opportunities: Program for Research on Bioenergy (BIOEN) - Young Investigators Grants