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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, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=uN6mliYH+olIFapp1rT4Tg==, pdfFileSize=1064943, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242139714585703019, articleId=1242139713071554747, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=宏基因组学技术与微生物群落多样性分析方法, columnId=1242139699565900348, journalTitle=科技导报, columnName=专题:土壤生态学, runingTitle=null, highlight=null, articleAbstract=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。, authors=彭玺1,2 , 冯凯1 , 厉舒祯3 , 邓晔1,2 , authorsList=彭玺, 冯凯, 厉舒祯, 邓晔, authorCompany=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;
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科技导报
| 专题:土壤生态学 2022, 40(3): 99-111
宏基因组学技术与微生物群落多样性分析方法
全屏
彭玺1,2 , 冯凯1 , 厉舒祯3 , 邓晔1,2
作者信息
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
通讯作者:
邓晔(通信作者),研究员,研究方向为环境微生物生态,电子信箱:yedeng@rcees.ac.cn
Analytical methods for metagenomic technology and microbial community diversity
Affiliations
出版时间: 2022-02-13
doi: 10.3981/j.issn.1000-7857.2022.03.009
文章导航
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。
环境微生物
/
宏基因组学
/
扩增子
/
生物信息学
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.
environmental microbiology
/
metagenomics
/
amplicon
/
bioinformatics
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.
科技导报,
2022
, 40
(3)
: 99
-111
.
DOI: 10.3981/j.issn.1000-7857.2022.03.009
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
.
DOI: 10.3981/j.issn.1000-7857.2022.03.009
2022年第40卷第3期
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引用本文
BibTeX
文章信息
doi: 10.3981/j.issn.1000-7857.2022.03.009
接收时间:2021-06-21
首发时间:2022-03-25
出版时间:2022-02-13
收稿日期:2021-06-21
修回日期:2021-12-17
通讯作者:
邓晔(通信作者),研究员,研究方向为环境微生物生态,电子信箱:yedeng@rcees.ac.cn
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2022.03.009
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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