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| 宏基因组学技术与微生物群落多样性分析方法 | |
| 引用本文： | 彭玺,冯凯,厉舒祯,邓晔.宏基因组学技术与微生物群落多样性分析方法[J].科技导报(北京),2022,40(3):99-111. |
| 作者姓名： | 彭玺 冯凯 厉舒祯 邓晔 |
| 作者单位： | 1. 中国科学院生态环境研究中心, 中国科学院环境生物技术重点实验室, 北京 100085; 2. 中国科学院大学资源与环境学院, 北京 100049; 3. 大连理工大学环境学院, 工业生态与环境工程教育部重点实验室, 大连 116024 |
| 基金项目： | 国家自然科学基金山东联合基金重点项目（U1906223） |
| 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,... |
| 关 键 词： | 环境微生物 宏基因组学 扩增子 生物信息学 |
| 收稿时间： | 2021-06-21 |
Analytical methods for metagenomic technology and microbial community diversity |
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| PENG Xi,FENG Kai,LI Shuzhen,DENG Ye.Analytical methods for metagenomic technology and microbial community diversity[J].Science & Technology Review,2022,40(3):99-111. | |
| Authors: | PENG Xi FENG Kai LI Shuzhen DENG Ye |
| Institution: | 1. CAS Key Laboratory of Environmental Biology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; 2. College of Resources and Environment, University of Chinese Academy Sciences, Beijing 100049, China; 3. Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education,School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China |
| Abstract: | 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. |
| Keywords: | environmental microbiology metagenomics amplicon bioinformatics |
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