TaxonTableTools: A comprehensive, platform-independent graphical user interface software to explore and visualise DNA metabarcoding data

被引:31
作者
Macher, Till-Hendrik [1 ]
Beermann, Arne J. [1 ]
Leese, Florian [1 ]
机构
[1] Univ Duisburg Essen, Aquat Ecosyst Res, Univ Str 5, D-45141 Essen, Germany
关键词
biodiversity; bioinformatics; biomonitoring; data analysis; eDNA; OTUs; DIVERSITY; BIOMASS; BARCODE;
D O I
10.1111/1755-0998.13358
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
DNA metabarcoding is increasingly used as a tool to assess biodiversity in research and environmental management. Powerful analysis software exists to process raw data. However, the translation of sequence read data into biological information and downstream analyses may be difficult for end users with limited expertise in bioinformatics. Thus, there is a growing need for easy-to-use, graphical user interface (GUI) software to analyse and visualise DNA metabarcoding data. Here, we present TaxonTableTools (TTT), a new platform-independent GUI that aims to fill this gap by providing simple, reproducible analysis and visualisation workflows. At its base, TTT uses a "TaXon table", which is a data format that can be generated easily within TTT from two input files: a read table and a taxonomy table obtained using various published metabarcoding pipelines. TTT analysis and visualisation modules include Venn diagrams to compare taxon overlap among replicates, samples, or analysis methods. TTT analyses and visualises basic statistics, such as read proportion per taxon, as well as more sophisticated visualisations, such as interactive Krona charts for taxonomic data exploration. Various ecological analyses can be produced directly, including alpha or beta diversity estimates, and rarefaction analysis ordination plots. Metabarcoding data can be converted into formats required for traditional, taxonomy-based analyses performed by regulatory bioassessment programs. In addition, TTT is able to produce html-based interactive graphics that can be analysed in any web browser. The software comes with a manual and tutorial, is free and publicly available through GitHub () or the Python package index ().
引用
收藏
页码:1705 / 1714
页数:10
相关论文
共 45 条
  • [1] Awano T, 2009, P NATL ACAD SCI USA, V106, P2794, DOI [10.1073/pnas.0812297106, 10.1073/pnas.0905845106]
  • [2] Adapting metabarcoding-based benthic biomonitoring into routine marine ecological status assessment networks
    Aylagas, Eva
    Borja, Angel
    Muxika, Inigo
    Rodriguez-Ezpeleta, Naiara
    [J]. ECOLOGICAL INDICATORS, 2018, 95 : 194 - 202
  • [3] Beentjes Kevin K., 2018, Metabarcoding and Metagenomics, V2, pe26744, DOI 10.3897/mbmg.2.26744
  • [4] DNA metabarcoding improves the detection of multiple stressor responses of stream invertebrates to increased salinity, fine sediment deposition and reduced flow velocity
    Beermann, Arne J.
    Werner, Marie-Therese
    Elbrecht, Vasco
    Zizka, Vera M. A.
    Leese, Florian
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 750
  • [5] The utility of DNA metabarcoding for studying the response of arthropod diversity and composition to land-use change in the tropics
    Beng, Kingsly Chuo
    Tomlinson, Kyle W.
    Shen, Xian Hui
    Surget-Groba, Yann
    Hughes, Alice C.
    Corlett, Richard T.
    Slik, J. W. Ferry
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [6] Performance of amplicon and shotgun sequencing for accurate biomass estimation in invertebrate community samples
    Bista, Iliana
    Carvalho, Gary R.
    Tang, Min
    Walsh, Kerry
    Zhou, Xin
    Hajibabaei, Mehrdad
    Shokralla, Shadi
    Seymour, Mathew
    Bradley, David
    Liu, Shanlin
    Christmas, Martin
    Creer, Simon
    [J]. MOLECULAR ECOLOGY RESOURCES, 2018, 18 (05) : 1020 - 1034
  • [7] ITS1 versus ITS2 as DNA metabarcodes for fungi
    Blaalid, R.
    Kumar, S.
    Nilsson, R. H.
    Abarenkov, K.
    Kirk, P. M.
    Kauserud, H.
    [J]. MOLECULAR ECOLOGY RESOURCES, 2013, 13 (02) : 218 - 224
  • [8] Blanchet F.G., 2020, R PACKAGE VERSION 25
  • [9] Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
    Bolyen, Evan
    Rideout, Jai Ram
    Dillon, Matthew R.
    Bokulich, NicholasA.
    Abnet, Christian C.
    Al-Ghalith, Gabriel A.
    Alexander, Harriet
    Alm, Eric J.
    Arumugam, Manimozhiyan
    Asnicar, Francesco
    Bai, Yang
    Bisanz, Jordan E.
    Bittinger, Kyle
    Brejnrod, Asker
    Brislawn, Colin J.
    Brown, C. Titus
    Callahan, Benjamin J.
    Caraballo-Rodriguez, Andres Mauricio
    Chase, John
    Cope, Emily K.
    Da Silva, Ricardo
    Diener, Christian
    Dorrestein, Pieter C.
    Douglas, Gavin M.
    Durall, Daniel M.
    Duvallet, Claire
    Edwardson, Christian F.
    Ernst, Madeleine
    Estaki, Mehrbod
    Fouquier, Jennifer
    Gauglitz, Julia M.
    Gibbons, Sean M.
    Gibson, Deanna L.
    Gonzalez, Antonio
    Gorlick, Kestrel
    Guo, Jiarong
    Hillmann, Benjamin
    Holmes, Susan
    Holste, Hannes
    Huttenhower, Curtis
    Huttley, Gavin A.
    Janssen, Stefan
    Jarmusch, Alan K.
    Jiang, Lingjing
    Kaehler, Benjamin D.
    Bin Kang, Kyo
    Keefe, Christopher R.
    Keim, Paul
    Kelley, Scott T.
    Knights, Dan
    [J]. NATURE BIOTECHNOLOGY, 2019, 37 (08) : 852 - 857
  • [10] OBITOOLS: a UNIX-inspired software package for DNA metabarcoding
    Boyer, Frederic
    Mercier, Celine
    Bonin, Aurelie
    Le Bras, Yvan
    Taberlet, Pierre
    Coissac, Eric
    [J]. MOLECULAR ECOLOGY RESOURCES, 2016, 16 (01) : 176 - 182