4.6 Article

Fast Identification of Thermostable Beta-Glucosidase Mutants on Cellobiose by a Novel Combinatorial Selection/Screening Approach

期刊

BIOTECHNOLOGY AND BIOENGINEERING
卷 103, 期 6, 页码 1087-1094

出版社

WILEY
DOI: 10.1002/bit.22340

关键词

beta-glucosidase; cellulase; directed evolution; high-throughput screening; selection; thermostability

资金

  1. DOE BioEnergy Science Center (BESC)
  2. Air Force Office of Scientific Research [FA9550-08-1-0145]

向作者/读者索取更多资源

Engineering costly cellulases on natural cellulosic substrates is of importance for emerging biomass-based biorefineries. Directed enzyme evolution is becoming a popular tool, but identification of desired mutants from a large mutant library remains challenging sometimes. In this work, we demonstrated a novel combinatorial selection/screening strategy for finding thermostable beta-glucosidase on its natural substrate-cellobiose. First, selection was conducted through complementation of beta-glucosidase for non-cellobiose-utilizing Escherichia coli so that only the cells expressing active beta-glucosidase can grow on a M9 synthetic medium with cellobiose as the sole carbon source (selection plate). Second, the clones on the selection plates were duplicated by using nylon membranes. After heat treatment, the nylon membranes were overlaid on M9/cellobiose screening plates so that remaining activities of thermostable beta-glucosidase mutants hydrolyzed cellobiose on the screening plates to glucose. Third, the growth of an indicator E. coli strain that call Utilize glucose but n ot cellobiose on the screening plates helped detect the thermostable beta-glucosidase mutants oil the selection plates. Several thermostable mutants were identified from a random mutant library of the Paenibacillus polymyxa beta-glucosidase. The most thermostable mutant A17S had an 11-fold increase in the half-life of thermoinactivation at 50 degrees C. Biotechnol. Bioeng. 2009;103: 1087-1094. (C) 2009 Wiley Periodicals, Inc.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据