microeco: an R package for data mining in microbial community ecology

被引:514
|
作者
Liu, Chi [1 ,2 ,3 ]
Cui, Yaoming [4 ]
Li, Xiangzhen [2 ,3 ]
Yao, Minjie [1 ]
机构
[1] Fujian Agr & Forestry Univ, Fujian Prov Univ, Coll Resources & Environm, Engn Res Ctr Soil Remediat, 15 Shangxiadian Rd, Fuzhou 350002, Peoples R China
[2] Chinese Acad Sci, Key Lab Environm & Appl Microbiol, 9,Sect 4,Renmin South Rd, Chengdu 610041, Peoples R China
[3] Chinese Acad Sci, Chengdu Inst Biol, Environm Microbiol Key Lab Sichuan Prov, 9,Sect 4,Renmin South Rd, Chengdu 610041, Peoples R China
[4] Henan Univ Technol, Coll Biol Engn, 100 Lotus St, Zhengzhou 450001, Peoples R China
基金
中国国家自然科学基金;
关键词
co-occurrence network; differential abundance test; diversity; environmental factors; functional profile; microbial community;
D O I
10.1093/femsec/fiaa255
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
A large amount of sequencing data is produced in microbial community ecology studies using the high-throughput sequencing technique, especially amplicon-sequencing-based community data. After conducting the initial bioinformatic analysis of amplicon sequencing data, performing the subsequent statistics and data mining based on the operational taxonomic unit and taxonomic assignment tables is still complicated and time-consuming. To address this problem, we present an integrated R package-'microeco' as an analysis pipeline for treating microbial community and environmental data. This package was developed based on the R6 class system and combines a series of commonly used and advanced approaches in microbial community ecology research. The package includes classes for data preprocessing, taxa abundance plotting, venn diagram, alpha diversity analysis, beta diversity analysis, differential abundance test and indicator taxon analysis, environmental data analysis, null model analysis, network analysis and functional analysis. Each class is designed to provide a set of approaches that can be easily accessible to users. Compared with other R packages in the microbial ecology field, the microeco package is fast, flexible and modularized to use and provides powerful and convenient tools for researchers. The microeco package can be installed from CRAN (The Comprehensive R Archive Network) or github (https://github.com/ChiLiubio/microeco).
引用
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页数:9
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