基于序列的人类相关微生物群鉴定方法

M. Al-Bayati, F. N. Jaafar, H. Musafer, M. Azeez, Zahraa Kareem Raheem
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引用次数: 0

摘要

微生物群可以定义为生活在特定环境中的微生物群落,我们都知道,不同类型的微生物在人体中定植,来自细菌群落,微生物真核生物和病毒,它们对每个解剖部位或环境都是特定的。下一代DNA测序已经允许越来越先进的采样和分析这些复杂的系统的方法被称为培养无关,这些方法表明在个体之间的群落结构的差异,患病状态和健康之间,以及解剖部位之间。下一代测序(NGS)的出现提供了一种低成本的方法,通过使用含有测序连接器和条形码的引物来扩增16S rRNA基因,从而消除了克隆步骤。然而,这种测序可能无法始终解决近亲物种,并且可能错过物种内多样性。采用散弹枪测序法对DNA进行直接测序。宏基因组学是从特定样品中存在的所有生物体的基因组中测序DNA的实践,并已成为研究微生物群结构和功能的常用方法。由于基于测序的微生物群分析仍然是整个领域最重要的通用技术,本综述的目的是提供基于序列的人类相关微生物群鉴定的技术机会和试验的一般介绍,并了解人类微生物群及其对人类健康和疾病的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human Associated Microbiota Identification by Using Sequence-Based Methods
The microbiota can be defined as the community of microorganisms that live in a particular environment and as we all know, different types of microbes colonized the human body, derived from bacterial communities, microbial eukaryotes and viruses that are specific for each anatomical sites or environments. The next- generation DNA sequencing has allowed more and more advanced sampling and analysis of these complex systems by methods called culture- independent, these methods are indicating the differences in community structure between individuals, between diseased states and healthy and between anatomical sites. The advent of next generation sequencing (NGS) offered a cost-effective method that eliminated the cloning step by amplifying 16S rRNA genes using primers containing sequencing connecters and barcodes. However, this sequencing may not resolve closely related species at all times and probably miss the intra-species diversity. A shotgun sequencing was developed for direct sequencing of DNA. Metagenomics is the practice of sequencing DNA from the genomes of all organisms present in a particular sample, and has become a common method for the study of microbiota population structure and function. As sequencing-based microbiota analysis continues to be the greatest general technique across the arena, this review aim is to provide a general introduction to the technical opportunities and trials of sequence-based identification of human associated Microbiota and for understanding of the human Microbiota and their effect on human health and diseases.
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