Title:	Comparative metabolism of cellulose, sophorose and glucose in Trichoderma reesei using high-throughput genomic and proteomic analyses
Authors:	Castro, Lilian dos Santos Pedersoli, Wellington Ramos Antoniêto, Amanda Cristina Campos Steindorff, Andrei Stecca Rocha, Rafael Silva Rossi, Nilce M. Martinez Rossi, Antonio Brown, Neil Andrew Goldman, Gustavo H. Faça, Vitor M. Persinoti, Gabriela F. Silva, Roberto Nascimento
Assunto::	Fungos filamentosos Enzimas Celulose
Issue Date:	21-Mar-2014
Publisher:	BioMed Central
Citation:	CASTRO, Lilian dos Santos et al. Comparative metabolism of cellulose, sophorose and glucose in Trichoderma reesei using high-throughput genomic and proteomic analyses. Biotechnology for Biofuels, v. 7, Article 41, 21 mar. 2014. Disponível em: <https://biotechnologyforbiofuels.biomedcentral.com/articles/10.1186/1754-6834-7-41>. Acesso em: 19 jun. 2017. doi: https://biotechnologyforbiofuels.biomedcentral.com/articles/10.1186/1754-6834-7-41.
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.
Licença::	© 2014 dos Santos Castro et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
DOI:	https://dx.doi.org/10.1186/1754-6834-7-41
Appears in Collections:	Artigos publicados em periódicos e afins

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