Analytical methods for metagenomic technology and microbial community diversity

PENG Xi; FENG Kai; LI Shuzhen; DENG Ye

doi:10.3981/j.issn.1000-7857.2022.03.009

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Science & Technology Review ›› 2022, Vol. 40 ›› Issue (3) : 99-111. DOI: 10.3981/j.issn.1000-7857.2022.03.009

Exclusive: Soil Ecology

Analytical methods for metagenomic technology and microbial community diversity

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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.

Key words

environmental microbiology / metagenomics / amplicon / bioinformatics

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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 https://doi.org/10.3981/j.issn.1000-7857.2022.03.009

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