简述利用宏基因组方法进行酶挖掘

Tithi Patel, Hiral G. Chaudhari, Vimalkumar S. Prajapati, Swati R. Patel, Vaibhavkumar N Mehta, N. Soni
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引用次数: 6

摘要

宏基因组学是一种直接分析环境中微生物群落基因组的方法。使用宏基因组学来研究新型酶是至关重要的,因为它使研究人员能够获得微生物多样性的数据,成功率为99%,并且不同种类的基因编码一种尚未发现的酶。基本宏基因组方法已经被创建并广泛应用于许多研究中。为了促进前沿研究的成功,研究人员,特别是年轻的研究人员必须对宏基因组学有一个基本的了解。因此,本综述旨在提供对宏基因组学的深入了解。它还涵盖了宏基因组学在新酶发现中的应用和基本方法,重点介绍了最近的研究。此外,本文还讨论了各种微生物宏基因组预期的新型生物催化剂的意义及其与未来新工业应用研究的相关性、新一代测序(NGS)的影响、复杂的生物信息学技术以及宏基因组方法的前景。目前的研究还探索了酶探索的宏基因组研究,特别是微生物来源的脂肪酶、蛋白酶和纤维素酶等关键酶。
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A brief account on enzyme mining using metagenomic approach
Metagenomics is an approach for directly analyzing the genomes of microbial communities in the environment. The use of metagenomics to investigate novel enzymes is critical because it allows researchers to acquire data on microbial diversity, with a 99% success rate, and different kinds of genes encode an enzyme that has yet to be found. Basic metagenomic approaches have been created and are widely used in numerous studies. To promote the success of the advance research, researchers, particularly young researchers, must have a fundamental understanding of metagenomics. As a result, this review was conducted to provide a thorough insight grasp of metagenomics. It also covers the application and fundamental methods of metagenomics in the discovery of novel enzymes, focusing on recent studies. Moreover, the significance of novel biocatalysts anticipated from varied microbial metagenomes and their relevance to future research for novel industrial applications, the ramifications of Next-Generation Sequencing (NGS), sophisticated bio-informatic techniques, and the prospects of the metagenomic approaches are discussed. The current study additionally explores metagenomic research on enzyme exploration, specifically for key enzymes like lipase, protease, and cellulase of microbial origin.
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