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宏基因组中基因的筛选与表达

Screening and expression of genes from metagenomes.

作者信息

Leis Benedikt, Angelov Angel, Liebl Wolfgang

机构信息

Lehrstuhl für Mikrobiologie, Technische Universität München, Freising, Bavaria, Germany.

出版信息

Adv Appl Microbiol. 2013;83:1-68. doi: 10.1016/B978-0-12-407678-5.00001-5.

Abstract

Microorganisms are the most abundant and widely spread organisms on earth. They colonize a huge variety of natural and anthropogenic environments, including very specialized ecological niches and even extreme habitats, which are made possible by the immense metabolic diversity and genetic adaptability of microbes. As most of the organisms from environmental samples defy cultivation, cultivation-independent metagenomics approaches have been applied since more than one decade to access and characterize the phylogenetic diversity in microbial communities as well as their metabolic potential and ecological functions. Thereby, metagenomics has fully emerged as an own scientific field for mining new biocatalysts for many industrially relevant processes in biotechnology and pharmaceutics. This review summarizes common metagenomic approaches ranging from sampling, isolation of nucleic acids, construction of metagenomic libraries and their evaluation. Sequence-based screenings implement next-generation sequencing platforms, microarrays or PCR-based methods, while function-based analysis covers heterologous expression of metagenomic libraries in diverse screening setups. Major constraints and advantages of each strategy are described. The importance of alternative host-vector systems is discussed, and in order to underline the role of phylogenetic and physiological distance from the gene donor and the expression host employed, a case study is presented that describes the screening of a genomic library from an extreme thermophilic bacterium in both Escherichia coli and Thermus thermophilus. Metatranscriptomics, metaproteomics and single-cell-based methods are expected to complement metagenomic screening efforts to identify novel biocatalysts from environmental samples.

摘要

微生物是地球上数量最多、分布最广的生物。它们定殖于各种各样的自然和人为环境中,包括非常特殊的生态位甚至极端生境,这得益于微生物巨大的代谢多样性和遗传适应性。由于环境样本中的大多数生物难以培养,因此十多年来一直采用非培养宏基因组学方法来获取和描述微生物群落中的系统发育多样性及其代谢潜力和生态功能。由此,宏基因组学已完全成为一个独立的科学领域,用于为生物技术和制药领域许多与工业相关的过程挖掘新的生物催化剂。本综述总结了常见的宏基因组学方法,包括采样、核酸分离、宏基因组文库构建及其评估。基于序列的筛选采用下一代测序平台、微阵列或基于PCR的方法,而基于功能的分析则涵盖在不同筛选设置中宏基因组文库的异源表达。描述了每种策略的主要限制和优势。讨论了替代宿主-载体系统的重要性,为了强调基因供体与所采用的表达宿主之间的系统发育和生理距离的作用,给出了一个案例研究,该研究描述了在大肠杆菌和嗜热栖热菌中筛选来自极端嗜热细菌的基因组文库的过程。宏转录组学、宏蛋白质组学和基于单细胞的方法有望补充宏基因组筛选工作,以从环境样本中鉴定新的生物催化剂。

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