微生物组分析初学者指南:基于扩增子的微生物组分析的生物信息学指南和实用概念。

Pichahpuk Uthaipaisanwong, Pantakan Puengrang, C. Rangsiwutisak, Photchanathorn Prombun, Athisri Sitthipunya, Natchaphon Rajudom, K. Kusonmano
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引用次数: 0

摘要

下一代测序技术(NGS)的出现,使得通过高通量读取遗传物质来研究生物体成为可能。该技术在医学、农业、能源和环境等多个领域开辟了微生物研究领域,无需培养即可在感兴趣的环境中研究整个微生物群落。生物信息学分析是表征和分析研究样品中微生物群的必要条件。在本教程中,我们将概述基于高通量16S rRNA基因测序的微生物组分析,这是一种常用的目标序列,用于分类细菌和古细菌。在生物学和技术背景下,将对来自短读测序平台的微生物组数据进行阐明,然后进行微生物组分析的所有重要计算步骤。步骤包括数据预处理、扩增子序列变异分析、分类分配、数据规范化和多样性分析。微生物组分析的实用概念和代码将逐步展示,为初学者提供基本指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beginner's guide to microbiome analysis: Bioinformatics guidelines and practical concepts for amplicon-based microbiome analysis.
The advent of next-generation sequencing (NGS) allows to study living organisms by reading genetic materials in a high-throughput manner. The technology has opened up a field of microbial research in several areas such as medicine, agriculture, energy, and environment, to study a whole microbial community in an environment of interest without culturing. Bioinformatics analysis is a need in order to characterize and analyze microbiota in the studied samples. In this tutorial, we will give an overview of microbiome analysis based on high-throughput 16S rRNA genes sequencing, a commonly-used target sequence to classify bacteria and archaea. With biological and technology backgrounds, microbiome data from short-read sequencing platform will be elucidated followed by all important computational steps for microbiome analysis. The steps include data preprocessing, amplicon sequence variant analysis, taxonomy assignment, data normalization, and diversity analyses. Practical concepts and codes for the microbiome analysis will be demonstrated step by step providing a basic guideline for beginner.
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