School of Biological Sciences and Technology, Chonnam National University, Gwangju, 61186, Republic of Korea.
J Microbiol. 2020 Mar;58(3):176-192. doi: 10.1007/s12275-020-9525-5. Epub 2020 Feb 27.
Microbial communities present in diverse environments from deep seas to human body niches play significant roles in the complex ecosystem and human health. Characterizing their structural and functional diversities is indispensable, and many approaches, such as microscopic observation, DNA fingerprinting, and PCR-based marker gene analysis, have been successfully applied to identify microorganisms. Since the revolutionary improvement of DNA sequencing technologies, direct and high-throughput analysis of genomic DNA from a whole environmental community without prior cultivation has become the mainstream approach, overcoming the constraints of the classical approaches. Here, we first briefly review the history of environmental DNA analysis applications with a focus on profiling the taxonomic composition and functional potentials of microbial communities. To this end, we aim to introduce the shotgun metagenomic sequencing (SMS) approach, which is used for the untargeted ("shotgun") sequencing of all ("meta") microbial genomes ("genomic") present in a sample. SMS data analyses are performed in silico using various software programs; however, in silico analysis is typically regarded as a burden on wet-lab experimental microbiologists. Therefore, in this review, we present microbiologists who are unfamiliar with in silico analyses with a basic and practical SMS data analysis protocol. This protocol covers all the bioinformatics processes of the SMS analysis in terms of data preprocessing, taxonomic profiling, functional annotation, and visualization.
存在于深海到人体生态位等各种环境中的微生物群落,在复杂的生态系统和人类健康中发挥着重要作用。描述它们的结构和功能多样性是必不可少的,许多方法,如显微镜观察、DNA 指纹分析和基于 PCR 的标记基因分析,已成功应用于鉴定微生物。自从 DNA 测序技术的革命性改进以来,无需事先培养即可直接、高通量地分析整个环境群落的基因组 DNA 已成为主流方法,克服了经典方法的限制。在这里,我们首先简要回顾环境 DNA 分析应用的历史,重点介绍微生物群落的分类组成和功能潜力。为此,我们旨在介绍 shotgun 宏基因组测序(SMS)方法,该方法用于对样品中存在的所有(“meta”)微生物基因组(“genomic”)进行无目标(“shotgun”)测序。SMS 数据分析在计算机上使用各种软件程序进行;然而,计算机分析通常被认为是对湿实验室实验微生物学家的负担。因此,在这篇综述中,我们为不熟悉计算机分析的微生物学家提供了一个基本而实用的 SMS 数据分析协议。该协议涵盖了 SMS 分析的所有生物信息学过程,包括数据预处理、分类分析、功能注释和可视化。