...
首页> 外文期刊>Critical Reviews in Biotechnology >Metagenomics for the development of new biocatalysts to advance lignocellulose saccharification for bioeconomic development
【24h】

Metagenomics for the development of new biocatalysts to advance lignocellulose saccharification for bioeconomic development

机译:新型生物催化剂开发的Metagenomics提前生物经济发展的木质纤维素糖化

获取原文
获取原文并翻译 | 示例

摘要

The world economy is moving toward the use of renewable and nonedible lignocellulosic biomasses as substitutes for fossil sources in order to decrease the environmental impact of manufacturing processes and overcome the conflict with food production. Enzymatic hydrolysis of the feedstock is a key technology for bio-based chemical production, and the identification of novel, less expensive and more efficient biocatalysts is one of the main challenges. As the genomic era has shown that only a few microorganisms can be cultured under standard laboratory conditions, the extraction and analysis of genetic material directly from environmental samples, termed metagenomics, is a promising way to overcome this bottleneck. Two screening methodologies can be used on metagenomic material: the function-driven approach of expression libraries and sequence-driven analysis based on gene homology. Both techniques have been shown to be useful for the discovery of novel biocatalysts for lignocellulose conversion, and they enabled identification of several (hemi)cellulases and accessory enzymes involved in (hemi)cellulose hydrolysis. This review summarizes the latest progress in metagenomics aimed at discovering new enzymes for lignocellulose saccharification.
机译:世界经济正在朝着使用可再生和不可用的木质纤维素生物量作为化石来源的替代品,以减少制造过程的环境影响并克服粮食生产冲突。原料的酶水解是生物基化学生产的关键技术,并鉴定新颖,更便宜,更有效的生物催化剂是主要挑战之一。由于基因组时代表明,只有少数微生物可以在标准实验室条件下培养,直接来自环境样品的遗传物质的提取和分析,称为偏造胞胎,是克服这一瓶颈的有希望的方法。两种筛选方法可用于偏见材料:基于基因同源性的表达文库和序列驱动分析的功能驱动方法。已经证明这两种技术可用于发现新型生物催化剂用于木质纤维素转化,并且它们能够鉴定涉及(Hemi)纤维素水解的几种(Hemi)纤维素酶和辅助酶。本综述总结了旨在发现木质纤维素糖化酶新酶的Metagenomics的最新进展。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号