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Compilation, revision, and annotation of DNA barcodes of marine invertebrate non-indigenous species (NIS) occurring in European coastal regions
Lavrador, A.S.; Fontes, J.T.; Vieira, P.E.; Costa, F.O.; Duarte, S. (2023). Compilation, revision, and annotation of DNA barcodes of marine invertebrate non-indigenous species (NIS) occurring in European coastal regions. Diversity 15(2): 174. https://dx.doi.org/10.3390/d15020174
In: Diversity. MDPI: Basel. ISSN 1424-2818; e-ISSN 1424-2818, more
Peer reviewed article  

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Keyword
    Marine/Coastal
Author keywords
    European coastal ecosystems; DNA reference libraries; COI barcode sequences

Authors  Top 
  • Lavrador, A.S.
  • Fontes, J.T.
  • Vieira, P.E.
  • Costa, F.O.
  • Duarte, S.

Abstract
    The introduction of non-indigenous species (NIS) is one of the major threats to the integrity of European coastal ecosystems. DNA-based assessments have been increasingly adopted for monitoring NIS. However, the accuracy of DNA-based taxonomic assignments is largely dependent on the completion and reliability of DNA barcode reference libraries. As such, we aimed to compile and audit a DNA barcode reference library for marine invertebrate NIS occurring in Europe. To do so, we compiled a list of NIS using three databases: the European Alien Species Information Network (EASIN), the Information System on Aquatic Non-indigenous and Cryptogenic Species (AquaNIS), and the World Register of Introduced Marine Species (WRiMS). For each species, we retrieved the available cytochrome c oxidase subunit I (COI) mitochondrial gene sequences from the Barcode of Life Data System (BOLD) and used the Barcode, Audit & Grade System (BAGS) to check congruence between morphospecies names and Barcode Index Numbers (BINs). From the 1249 species compiled, approximately 42% had records on BOLD, among which 56% were discordant. We further analyzed these cases to determine the causes of the discordances and attributed additional annotation tags. Of the 622 discordant BINs, after revision, 35% were successfully solved, which increased the number of NIS detected in metabarcoding datasets from 12 to 16. However, a fair number of BINs remained discordant. Reliability of reference barcode records is particularly critical in the case of NIS, where erroneous identification may trigger action or inaction when not required.

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