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

Comparative metabolism of cellulose, sophorose and glucose in Trichoderma reesei using high-throughput genomic and proteomic analyses.
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DOI:
10.1186/1754-6834-7-41
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发表时间:
2014-03-21
影响因子:
6.3
通讯作者:
Silva RN
Silva RN
中科院分区:
工程技术1区
文献类型:
--
作者:
Dos Santos Castro L;Pedersoli WR;Antoniêto ACC;Steindorff AS;Silva-Rocha R;Martinez-Rossi NM;Rossi A;Brown NA;Goldman GH;Faça VM;Persinoti GF;Silva RN

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丝状真菌里氏木霉是生物乙醇工业使用的木质纤维素水解酶的主要生产者。然而,为了在工业规模上实现低成本的第二代生物乙醇生产,需要高效的水解酶组合来分解植物生物量。在这项研究中,我们研究了在纤维素、槐糖和葡萄糖生长过程中产生木质纤维素降解酶T. reesei的分子基础。我们检查并比较了生长在纤维素、槐糖或葡萄糖作为唯一碳源的T. reesei的转录组和差异分泌组(2D-DIGE)。通过应用严格的截止阈值,确定了2060个基因在至少一个相应的碳源比较中存在差异表达。通过对差异表达基因的聚类分析,确定了纤维素调控的123个基因、槐属调控的154个基因和葡萄糖调控的402个基因。对692个纤维素和苦参之间差异表达的基因进行基因调控网络分析,分别发现只有75个和107个基因是苦参和纤维素生长的特异性基因。2D-DIGE分析鉴定出30种蛋白质是槐属特有的,37种是纤维素特有的。转录与分泌蛋白谱的相关性为70.17%。我们的数据揭示了纤维素降解中的新参与者,如在不同碳源、转运体、转录因子和CAZymes中分泌的具有非催化功能的辅助蛋白,它们对纤维素或槐糖有特异性反应。
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. 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. 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.
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