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R-Syst::diatom: an open-access and curated barcode database for diatoms and freshwater monitoring

Authors :
François Keck
Philippe Chaumeil
Alain Franc
Valentin Vasselon
Lenaïg Kermarrec
Frédéric Rimet
Maria Kahlert
Agnès Bouchez
Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques (CARRTEL)
Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut National de la Recherche Agronomique (INRA)
Biodiversité, Gènes & Communautés (BioGeCo)
Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB)
from patterns to models in computational biodiversity and biotechnology (PLEIADE)
Laboratoire Bordelais de Recherche en Informatique (LaBRI)
Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2-Inria Bordeaux - Sud-Ouest
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Biodiversité, Gènes & Communautés (BioGeCo)
Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB)-Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB)
Asconit Consultants
Swedish University of Agricultural Sciences (SLU)
Institut National de la Recherche Agronomique (INRA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])
Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest
Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB)-Institut National de la Recherche Agronomique (INRA)
Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Inria Bordeaux - Sud-Ouest
Source :
Database-The journal of Biological Databases and Curation, Database-The journal of Biological Databases and Curation, Oxford University Press, 2016, 2016, ⟨10.1093/database/baw016⟩, Database-The journal of Biological Databases and Curation, 2016, 2016, pp.baw016. ⟨10.1093/database/baw016⟩, Database-The journal of Biological Databases and Curation, Oxford University Press, 2016, 2016, pp.baw016. ⟨10.1093/database/baw016⟩, Database (2016), baw016. (2016), Database: The Journal of Biological Databases and Curation
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

Diatoms are micro-algal indicators of freshwater pollution. Current standardized methodologies are based on microscopic determinations, which is time consuming and prone to identification uncertainties. The use of DNA-barcoding has been proposed as a way to avoid these flaws. Combining barcoding with next-generation sequencing enables collection of a large quantity of barcodes from natural samples. These barcodes are identified as certain diatom taxa by comparing the sequences to a reference barcoding library using algorithms. Proof of concept was recently demonstrated for synthetic and natural communities and underlined the importance of the quality of this reference library. We present an open-access and curated reference barcoding database for diatoms, called R-Syst::diatom, developed in the framework of R-Syst, the network of systematic supported by INRA (French National Institute for Agricultural Research), see http://www.rsyst.inra.fr/en. R-Syst::diatom links DNA-barcodes to their taxonomical identifications, and is dedicated to identify barcodes from natural samples. The data come from two sources, a culture collection of freshwater algae maintained in INRA in which new strains are regularly deposited and barcoded and from the NCBI (National Center for Biotechnology Information) nucleotide database. Two kinds of barcodes were chosen to support the database: 18S (18S ribosomal RNA) and rbcL (Ribulose-1,5-bisphosphate carboxylase/oxygenase), because of their efficiency. Data are curated using innovative (Declic) and classical bioinformatic tools (Blast, classical phylogenies) and up-to-date taxonomy (Catalogues and peer reviewed papers). Every 6 months R-Syst::diatom is updated. The database is available through the R-Syst microalgae website (http://www.rsyst.inra.fr/) and a platform dedicated to next-generation sequencing data analysis, virtual_BiodiversityL@b (https://galaxy-pgtp.pierroton.inra.fr/). We present here the content of the library regarding the number of barcodes and diatom taxa. In addition to these information, morphological features (e.g. biovolumes, chloroplasts…), life-forms (mobility, colony-type) or ecological features (taxa preferenda to pollution) are indicated in R-Syst::diatom.[br/] Database URL: http://www.rsyst.inra.fr/

Details

Language :
English
ISSN :
17580463
Database :
OpenAIRE
Journal :
Database-The journal of Biological Databases and Curation, Database-The journal of Biological Databases and Curation, Oxford University Press, 2016, 2016, ⟨10.1093/database/baw016⟩, Database-The journal of Biological Databases and Curation, 2016, 2016, pp.baw016. ⟨10.1093/database/baw016⟩, Database-The journal of Biological Databases and Curation, Oxford University Press, 2016, 2016, pp.baw016. ⟨10.1093/database/baw016⟩, Database (2016), baw016. (2016), Database: The Journal of Biological Databases and Curation
Accession number :
edsair.doi.dedup.....46b8ff7cf674b77f65396842cb71e815