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Be positive: customized reference databases and new, local barcodes balance false taxonomic assignments in metabarcoding studies

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  • معلومة اضافية
    • Contributors:
      Alma Mater Studiorum Università di Bologna = University of Bologna (UNIBO); Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE); Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement IRD : UMR237-Centre National de la Recherche Scientifique (CNRS); Station de Recherche Océanographiques et sous-marines (STARESO ); ANR-17-MART-0001,SEAMoBB,Solutions for sEmi-Automated Monitoring of Benthic Biodiversity(2017)
    • بيانات النشر:
      HAL CCSD
      PeerJ
    • الموضوع:
      2023
    • نبذة مختصرة :
      International audience ; Background. In metabarcoding analyses, the taxonomic assignment is crucial to place sequencing data in biological and ecological contexts. This fundamental step depends on a reference database, which should have a good taxonomic coverage to avoid unassigned sequences. However, this goal is rarely achieved in many geographic regions and for several taxonomic groups. On the other hand, more is not necessarily better, as sequences in reference databases belonging to taxonomic groups out of the studied region/environment context might lead to false assignments. Methods. We investigated the effect of using several subsets of a cytochrome c oxidase subunit I (COI) reference database on taxonomic assignment. Published metabarcoding sequences from the Mediterranean Sea were assigned to taxa using COInr, which is a comprehensive, non-redundant and recent database of COI sequences obtained both from BOLD and NCBI, and two of its subsets: (i) all sequences except insects (COInr-WO-Insecta), which represent the overwhelming majority of COInr database, but are irrelevant for marine samples, and (ii) all sequences from taxonomic families present in the Mediterranean Sea (COInr-Med). Four different algorithms for taxonomic assignment were employed in parallel to evaluate differences in their output and data consistency. Results. The reduction of the database to more specific custom subsets increased the number of unassigned sequences. Nevertheless, since most of them were incorrectly assigned by the less specific databases, this is a positive outcome. Moreover, the taxonomic resolution (the lowest taxonomic level to which a sequence is attributed) of several sequences tended to increase when using customized databases. These findings clearly indicated the need for customized databases adapted to each study. However, the very high proportion of unassigned sequences points to the need to enrich the local database with new barcodes specifically obtained from the studied region and/or taxonomic group. ...
    • Relation:
      hal-03931396; https://amu.hal.science/hal-03931396; https://amu.hal.science/hal-03931396/document; https://amu.hal.science/hal-03931396/file/Mugnai_peerj.pdf
    • الرقم المعرف:
      10.7717/peerj.14616
    • الدخول الالكتروني :
      https://amu.hal.science/hal-03931396
      https://amu.hal.science/hal-03931396/document
      https://amu.hal.science/hal-03931396/file/Mugnai_peerj.pdf
      https://doi.org/10.7717/peerj.14616
    • Rights:
      http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.DB89D6DC