Kanokratana Pattanop, Eurwilaichitr Lily, Pootanakit Kusol, Champreda Verawat
Enzyme Technology Laboratory, Bioresources Technology Unit, National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Phahonyothin Road, Klong Luang, PathumThani 12120, Thailand; Institute of Molecular Biosciences, Mahidol University, Salaya, Nakornpathom 73170, Thailand.
Enzyme Technology Laboratory, Bioresources Technology Unit, National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Phahonyothin Road, Klong Luang, PathumThani 12120, Thailand.
J Biosci Bioeng. 2015 Apr;119(4):384-91. doi: 10.1016/j.jbiosc.2014.09.010. Epub 2014 Oct 30.
Lignocellulose decomposition is a natural process involving the cooperative action of various glycosyl hydrolases (GH) on plant cell wall components. In this study, a metagenomic library was constructed to capture the genetic diversity of microbes inhabiting an industrial bagasse collection site. A variety of putative genes encoding GH families 2, 3, 5, 9, 11, and 16 were identified using activity-based screening, which showed low to moderate homology to various cellulases and hemicellulases. The recombinant GH9 endoglucanase (Cel9) and GH11 endo-xylanase (Xyn11) were thermophilic with optimal activity between 75°C and 80°C and the maximal activity at slightly acidic to neutral pH range. The enzymes exhibited cooperative activity with Trichoderma reesei cellulase on the degradation of lignocellulosic substrates. Mixture design showed positive interactions among the enzyme components. The optimal combination was determined to be 41.4% Celluclast, 18.0% Cel9, and 40.6% Xyn11 with the predicted relative reducing sugar of 658% when compared to Celluclast alone on hydrolysis of alkaline-pretreated bagasse. The work demonstrates the potential of lignocellulolytic enzymes from a novel uncultured microbial resource for enhancing efficiency of biomass-degrading enzyme systems for bio-industries.
木质纤维素分解是一个自然过程,涉及多种糖基水解酶(GH)对植物细胞壁成分的协同作用。在本研究中,构建了一个宏基因组文库,以获取栖息于工业甘蔗渣收集场地的微生物的遗传多样性。使用基于活性的筛选方法鉴定了多种编码GH家族2、3、5、9、11和16的假定基因,这些基因与各种纤维素酶和半纤维素酶具有低至中等的同源性。重组GH9内切葡聚糖酶(Cel9)和GH11内切木聚糖酶(Xyn11)具有嗜热性,最佳活性在75°C至80°C之间,在微酸性至中性pH范围内活性最大。这些酶在木质纤维素底物的降解过程中与里氏木霉纤维素酶表现出协同活性。混合设计显示酶组分之间存在正相互作用。确定最佳组合为41.4%的纤维素酶(Celluclast)、18.0%的Cel9和40.6%的Xyn11,与单独使用纤维素酶(Celluclast)水解碱性预处理甘蔗渣相比,预测的相对还原糖为658%。这项工作证明了来自新型未培养微生物资源的木质纤维素分解酶在提高生物工业生物质降解酶系统效率方面的潜力。