Diat.barcode was initially named RSyst::diatom

Significant diversity exists within the main freshwater algal classes: Diatoms (10 000 to 100 000 taxa), Chrysophyceae (over 1000 taxa), Chlorophyceae (over 4000 taxa), Zygophyceae (over 3000 taxa), Dinophyceae (over 500 taxa), Euglenophyceae (over 1000 taxa), Cryptophyceae (over 120 taxa).

Their huge diversity and their ubiquity make them excellent ecological indicators for rivers, lakes and marine (eg water framework directive) waters. Metabarcoding enables the automation of identifications which have until now been done under the microscope. 

Diat.barcode database is a library of barcodes which is curated and which guarantees good taxonomical homogeneity and good quality of sequences. Data have different sources:

    The culture collection of Thonon, INRAE, TCC
    The barcoding project of diatoms in UK
    Public data (NCBI)

Several European labs participate in this curation:

    INRAE – UMR Carrtel, FR–74200 Thonon–les–Bains, France
    Botanischer Garten und Botanisches Museum Berlin–Dahlem, Freie Universität Berlin, Germany
    Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment, Uppsala, Sweden
    Bowburn Consultancy, Durham, UK
    Royal Botanic Garden Edinburgh, Edinburgh, Scotland, UK
    Marine and Continental Waters, Institute for Food and Agricultural Research and Technology (IRTA), Catalonia, Spain
    Institute of Plant Physiology, Russian Academy of Sciences, Russia
    Laboratory for Evolutionary Ecology, center for Marine Research, Ruder Boskovic Institute, Rovinj, Croatia
    Luxembourg Institute of Science and Technology (LIST) Environmental Research and Innovation (ERIN) Department, Belvaux, Luxembourg
    Gilles Gassiole, France (MicPhyc)

R-Syst is a french network a research teams which objective is to develop a dictionary of genetic and phenotypic variability, thus enabling a better characterisation of these organisms. More information about the network can be found at https://www6.inra.fr/r-syst_eng/

Photos of the cultures and samples of the TCC can be found at https://www6.inra.fr/carrtel-collection_eng/Photos

Maps of the sampled stations included in Diat.Barcode:

    Diat.Barcode v9 and v10
    Diat.Barcode v8
    Diat.Barcode v7

Entries in Diat.Barcode:
            v7      v9      v10
Sequences   6842    8066    8136
Species     1254    1491    1512
Genera      280     300     301

CITATION AND AVAILIBILITY:

accesss : 
    https://www6.inrae.fr/carrtel-collection/Barcoding-database

citation :
When using the database please give at least the most recent citation :

    - Rimet F., Gusev E., Kahlert M., Kelly M., Kulikovskiy M., Maltsev Y., Mann D., Pfannkuchen M., Trobajo R., Vasselon V., Zimmermann J., Bouchez A., 2019. Diat.barcode, an open-access curated barcode library for diatoms. Scientific Reports. https://www.nature.com/articles/s41598-019-51500-6
    - Rimet, Frederic; Chonova, Teofana; Gassiole, Gilles; Gusev, Evgenuy; Kahlert, Maria; Keck, François; Kelly, Martyn; Kulikovskiy, Maxim; Maltsev, Yevhen; Mann, David; Pfannkuchen, Martin; Trobajo, Rosa; Vasselon, Valentin; Wetzel, Carlos; Zimmermann, Jonas; Bouchez, Agnès, 2018, "Diat.barcode, an open-access barcode library for diatoms", https://doi.org/10.15454/TOMBYZ, Portail Data INRAE, V9
    - Frederic Rimet; Philippe Chaumeil; Francois Keck; Lenaïg Kermarrec; Valentin Vasselon; Maria Kahlert; Alain Franc; Agnes Bouchez. 2016. R-Syst::diatom: an open-access and curated barcode database for diatoms and freshwater monitoring. Database, 2016, 1-21.http://database.oxfordjournals.org/content/2016/baw016.full?keytype=ref&ijkey=H324uA95JzzEomz
    - Rimet F., Chaumeil P., Keck F., Kermarrec L., Vasselon V., Kahlert M., Franc A., Bouchez A., 2015. R-Syst::diatom: a barcode database for diatoms and freshwater biomonitoring - data sources and curation procedure. INRA Report, 14 pages http://dx.doi.org/10.5281/zenodo.31137