摘要
从宏基因组学的2个主要技术——扩增子测序与宏基因组测序出发,对其在微生物群落检测中的基本分析流程进行了介绍。概述了微生物群落多样性的概念、相关的统计分析原理以及相关分析结果的解析方法等。提出利用正处于蓬勃发展时期的大数据分析技术与手段来克服宏基因组学数据解析,并将分析结果用更易理解的形式展现出来是未来研究的重点和难点,也是从事环境微生物学、生物信息和统计学研究人员共同的挑战。
The rapid development of omics technology represented by metagenomics technology has greatly promoted our understanding of microbial diversity,composition,structure,and function in the natural ecosystem.However,the big data generated by the technology can be a great challenge to researchers’data analyzing and mining abilities.This review,based on two technical aspects,amplicon and whole-genome shotgun sequencing,summarizes the analysis workflow of metagenomics for discovering microbial community.Then,the concepts of microbial community diversity,the related principles of statistical analysis,and related interpretation of statistical tests are illustrated.Finally,the paper points out that to overcome the complexity of metagenomic data and huge amount information,using big data analysis so as to illuminate analytical results are the common challenge for environmental microbiologists,bioinformaticians,and statisticians.
作者
彭玺
冯凯
厉舒祯
邓晔
PENG Xi;FENG Kai;LI Shuzhen;DENG Ye(CAS Key Laboratory of Environmental Biology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China;College of Resources and Environment,University of Chinese Academy Sciences,Beijing 100049,China;Key Laboratory of Industrial Ecology and Environmental Engineering,Ministry of Education,School of Environmental Science and Technology,Dalian University of Technology,Dalian 116024,China)
出处
《科技导报》
CAS
CSCD
北大核心
2022年第3期99-111,共13页
Science & Technology Review
基金
国家自然科学基金山东联合基金重点项目(U1906223)。
