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

被引:715
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
收藏
页数:9
相关论文
共 31 条
  • [1] Soil bacterial community structure in Chinese wetlands
    An, Jiaxing
    Liu, Chi
    Wang, Qian
    Yao, Minjie
    Rui, Junpeng
    Zhang, Shiheng
    Li, Xiangzhen
    [J]. GEODERMA, 2019, 337 : 290 - 299
  • [2] Abiotic Factors Shape Microbial Diversity in Sonoran Desert Soils
    Andrew, David R.
    Fitak, Robert R.
    Munguia-Vega, Adrian
    Racolta, Adriana
    Martinson, Vincent G.
    Dontsova, Katerina
    [J]. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2012, 78 (21) : 7527 - 7537
  • [3] Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data
    Asshauer, Kathrin P.
    Wemheuer, Bernd
    Daniel, Rolf
    Meinicke, Peter
    [J]. BIOINFORMATICS, 2015, 31 (17) : 2882 - 2884
  • [4] QIIME allows analysis of high-throughput community sequencing data
    Caporaso, J. Gregory
    Kuczynski, Justin
    Stombaugh, Jesse
    Bittinger, Kyle
    Bushman, Frederic D.
    Costello, Elizabeth K.
    Fierer, Noah
    Pena, Antonio Gonzalez
    Goodrich, Julia K.
    Gordon, Jeffrey I.
    Huttley, Gavin A.
    Kelley, Scott T.
    Knights, Dan
    Koenig, Jeremy E.
    Ley, Ruth E.
    Lozupone, Catherine A.
    McDonald, Daniel
    Muegge, Brian D.
    Pirrung, Meg
    Reeder, Jens
    Sevinsky, Joel R.
    Tumbaugh, Peter J.
    Walters, William A.
    Widmann, Jeremy
    Yatsunenko, Tanya
    Zaneveld, Jesse
    Knight, Rob
    [J]. NATURE METHODS, 2010, 7 (05) : 335 - 336
  • [5] Chang W., 2021, R6: Encapsulated Classes with Reference Semantics
  • [6] Chen H., 2018, VennDiagram: Generate highresolution Venn and Euler plots
  • [7] Amazon tree dominance across forest strata
    Draper, Frederick C.
    Costa, Flavia R. C.
    Arellano, Gabriel
    Phillips, Oliver L.
    Duque, Alvaro
    Macia, Manuel J.
    ter Steege, Hans
    Asner, Gregory P.
    Berenguer, Erika
    Schietti, Juliana
    Socolar, Jacob B.
    de Souza, Fernanda Coelho
    Dexter, Kyle G.
    Jorgensen, Peter M.
    Sebastian Tello, J.
    Magnusson, William E.
    Baker, Timothy R.
    Castilho, Carolina, V
    Monteagudo-Mendoza, Abel
    Fine, Paul V. A.
    Ruokolainen, Kalle
    Honorio Coronado, Euridice N.
    Aymard, Gerardo
    Davila, Nallarett
    Sanchez Saenz, Mauricio
    Rios Paredes, Marcos A.
    Engel, Julien
    Fortunel, Claire
    Paine, C. E. Timothy
    Goret, Jean-Yves
    Dourdain, Aurelie
    Petronelli, Pascal
    Allie, Elodie
    Guevara Andino, Juan E.
    Brienen, Roel J. W.
    Perez, Leslie Cayola
    Manzatto, Angelo G.
    Zambrana, Narel Y. Paniagua
    Molino, Jean-Francois
    Sabatier, Daniel
    Chave, Jerome
    Fauset, Sophie
    Garcia Villacorta, Roosevelt
    Rejou-Mechain, Maxime
    Berry, Paul E.
    Melgaco, Karina
    Feldpausch, Ted R.
    Valderamma Sandoval, Elvis
    Martinez, Rodolfo Vasquez
    Mesones, Italo
    [J]. NATURE ECOLOGY & EVOLUTION, 2021, 5 (06) : 757 - +
  • [8] Csardi G., 2006, INT J COMPLEX SYST, DOI DOI 10.3724/SP.J.1087.2009.02191
  • [9] Molecular ecological network analyses
    Deng, Ye
    Jiang, Yi-Huei
    Yang, Yunfeng
    He, Zhili
    Luo, Feng
    Zhou, Jizhong
    [J]. BMC BIOINFORMATICS, 2012, 13
  • [10] CONSERVATION EVALUATION AND PHYLOGENETIC DIVERSITY
    FAITH, DP
    [J]. BIOLOGICAL CONSERVATION, 1992, 61 (01) : 1 - 10