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

hal.structure.identifierCentre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques [CARRTEL]
dc.contributor.authorRIMET, Frédéric
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
hal.structure.identifierfrom patterns to models in computational biodiversity and biotechnology [PLEIADE]
dc.contributor.authorCHAUMEIL, Philippe
hal.structure.identifierCentre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques [CARRTEL]
dc.contributor.authorKECK, François
hal.structure.identifierAsconit Consultants
dc.contributor.authorKERMARREC, Lenaïg
hal.structure.identifierCentre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques [CARRTEL]
dc.contributor.authorVASSELON, Valentin
hal.structure.identifierSwedish University of Agricultural Sciences = Sveriges lantbruksuniversitet [SLU]
dc.contributor.authorKAHLERT, Maria
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
hal.structure.identifierfrom patterns to models in computational biodiversity and biotechnology [PLEIADE]
dc.contributor.authorFRANC, Alain
hal.structure.identifierCentre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques [CARRTEL]
dc.contributor.authorBOUCHEZ, Agnes
dc.date.issued2016-02-03
dc.identifier.issn1758-0463
dc.description.abstractEnDiatoms 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.
dc.language.isoen
dc.publisherOxford University Press
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.title.enR-Syst::diatom: an open-access and curated barcode database for diatoms and freshwater monitoring
dc.typeArticle de revue
dc.identifier.doi10.1093/database/baw016
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
bordeaux.journalDatabase - The journal of Biological Databases and Curation
bordeaux.pagebaw016
bordeaux.volume2016
bordeaux.peerReviewedoui
hal.identifierhal-01426772
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01426772v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Database%20-%20The%20journal%20of%20Biological%20Databases%20and%20Curation&rft.date=2016-02-03&rft.volume=2016&rft.spage=baw016&rft.epage=baw016&rft.eissn=1758-0463&rft.issn=1758-0463&rft.au=RIMET,%20Fr%C3%A9d%C3%A9ric&CHAUMEIL,%20Philippe&KECK,%20Fran%C3%A7ois&KERMARREC,%20Lena%C3%AFg&VASSELON,%20Valentin&rft.genre=article


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