Microbial community analysis using high-throughput sequencing technology: a beginner's guide for microbiologists

被引:37
|
作者
Jo, Jihoon [1 ]
Oh, Jooseong [1 ]
Park, Chungoo [1 ]
机构
[1] Chonnam Natl Univ, Sch Biol Sci & Technol, Gwangju 61186, South Korea
关键词
microbiome; environmental DNA; metagenomics; shotgun metagenomic sequencing; bioinformatics; DE-NOVO ASSEMBLER; PHYLOGENETIC CLASSIFICATION; SHOTGUN METAGENOMICS; GENOME SHOTGUN; DIVERSITY; BACTERIAL; MICROARRAY; INSIGHTS; REVEALS; ECOLOGY;
D O I
10.1007/s12275-020-9525-5
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.
引用
收藏
页码:176 / 192
页数:17
相关论文
共 50 条
  • [1] Microbial community analysis using high-throughput sequencing technology: a beginner’s guide for microbiologists
    Jihoon Jo
    Jooseong Oh
    Chungoo Park
    [J]. Journal of Microbiology, 2020, 58 : 176 - 192
  • [2] Fungal community analysis by high-throughput sequencing of amplified markers - a user's guide
    Lindahl, Bjorn D.
    Nilsson, R. Henrik
    Tedersoo, Leho
    Abarenkov, Kessy
    Carlsen, Tor
    Kjoller, Rasmus
    Koljalg, Urmas
    Pennanen, Taina
    Rosendahl, Soren
    Stenlid, Jan
    Kauserud, Havard
    [J]. NEW PHYTOLOGIST, 2013, 199 (01) : 288 - 299
  • [3] Analysis of Microbial Community Diversity of Crab Paste by High-Throughput Sequencing
    Li, Cheng
    Kong, Xiaoxue
    Yu, Jubo
    Zou, Xiaoqian
    Luo, Haibo
    [J]. Shipin Kexue/Food Science, 2020, 41 (04): : 134 - 139
  • [4] Analysis of Microbial Community Diversity in Traditional Fermented Vegetables in Zhejiang Using High-throughput Sequencing
    Bao, Wei
    Han, Jiaojiao
    Zhang, Zhixuan
    Lu, Chenyang
    Zhou, Jun
    Ming, Tinghong
    Li, Ye
    Su, Xiurong
    [J]. Shipin Kexue/Food Science, 2021, 42 (06): : 178 - 185
  • [5] Characterization of microbial community in high-pressure treated oysters by high-throughput sequencing technology
    Cao Rong
    Zhao Ling
    Sun Huihui
    Liu Qi
    [J]. INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES, 2018, 45 : 241 - 248
  • [6] Perchlorate reduction by hydrogen autotrophic bacteria and microbial community analysis using high-throughput sequencing
    Dongjin Wan
    Yongde Liu
    Zhenhua Niu
    Shuhu Xiao
    Daorong Li
    [J]. Biodegradation, 2016, 27 : 47 - 57
  • [7] Perchlorate reduction by hydrogen autotrophic bacteria and microbial community analysis using high-throughput sequencing
    Wan, Dongjin
    Liu, Yongde
    Niu, Zhenhua
    Xiao, Shuhu
    Li, Daorong
    [J]. BIODEGRADATION, 2016, 27 (01) : 47 - 57
  • [8] Microbial community analysis of the hypersaline water of the Dead Sea using high-throughput amplicon sequencing
    Jacob, Jacob H.
    Hussein, Emad I.
    Shakhatreh, Muhamad Ali K.
    Cornelison, Christopher T.
    [J]. MICROBIOLOGYOPEN, 2017, 6 (05):
  • [9] Analysis of microbial community composition and diversity in postoperative intracranial infection using high-throughput sequencing
    Ruan, Lixin
    Wu, Daowu
    Li, Xinchong
    Huang, Qichuan
    Lin, Laipeng
    Lin, Jie
    Chen, Lie
    Xu, Peisong
    Jin, Jie
    Yang, Ningmin
    Li, Xianfeng
    [J]. MOLECULAR MEDICINE REPORTS, 2017, 16 (04) : 3938 - 3946
  • [10] High-throughput sequencing analysis of the microbial community in coastal intensive mariculture systems
    Wang, Jian-Hua
    Lu, Jian
    Zhang, Yu-Xuan
    Wu, Jun
    Zhang, Cui
    Yu, Xiaobin
    Zhang, Zhenhua
    Liu, Hao
    Wang, Wen-Hao
    [J]. AQUACULTURAL ENGINEERING, 2018, 83 : 93 - 102