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EPPO-Q-bank: a curated database to support plant pest diagnostic activities

  • Assunta Bertaccini
  • , Jeroen van de Bilt
  • , Nicoletta Contaldo
  • , Bart Cottyn
  • , Ulrike Damm
  • , Leni Duistermaat

Onderzoeksoutput: Bijdrage aan tijdschriftA2: Artikel in een internationaal wetenschappelijk tijdschrift met peer review, dat niet inbegrepen is in A1peer review

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The increased risk of outbreaks of plant pests due to globalization and climate change requires up-to-date knowledge and quick and validated detection and identification methods. DNA barcoding and sequence analysis are increasingly used for diagnostics in phytosanitary laboratories. These methods use (short) genomic sequences specific to a well-defined taxon for species identification. The EPPO-Q-bank database (https://qbank.eppo.int/) supports plant pest diagnostics focusing on pests recommended for regulation in the EPPO region and their look-alikes. It provides a wide range of information on specimens, isolates, strains or populations available in collections, including curated DNA barcodes/sequence data. The cornerstone of this database is its curation by a team of scientists with taxonomic, phytosanitary and diagnostic expertise from National Plant Protection Organizations and institutes with connections to relevant phytosanitary collections.
Oorspronkelijke taalEngels
TijdschriftEPPO Bulletin
Volume54
Exemplaarnummer3
Pagina's (van-tot)361-365
Aantal pagina’s5
ISSN0250-8052
DOI's
PublicatiestatusGepubliceerd - dec-2024

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