Data from: A reliable DNA barcode reference library for the identification of the European shelf fish fauna

Valid fish species identification is an essential step both for fundamental science and fisheries management. The traditional identification is mainly based on external morphological diagnostic characters, leading to inconsistent results in many cases. Here, we provide a sequence reference library b...

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Main Author: Knebelsberger, Thomas
Format: Article in Journal/Newspaper
Language:unknown
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10255/dryad.58931
https://doi.org/10.5061/dryad.rn636
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spelling ftdryad:oai:v1.datadryad.org:10255/dryad.58931 2023-05-15T17:34:12+02:00 Data from: A reliable DNA barcode reference library for the identification of the European shelf fish fauna Knebelsberger, Thomas 2014-01-30T19:10:11Z http://hdl.handle.net/10255/dryad.58931 https://doi.org/10.5061/dryad.rn636 unknown doi:10.5061/dryad.rn636/1 doi:10.1111/1755-0998.12238 PMID:24618145 doi:10.5061/dryad.rn636 Knebelsberger T, Landi M, Neumann H, Kloppmann M, Sell AF, Campbell PD, Laakmann S, Raupach MJ, Carvalho GR, Costa FO (2014) A reliable DNA barcode reference library for the identification of the European shelf fish fauna. Molecular Ecology Resources 14(5): 1060-1071. http://hdl.handle.net/10255/dryad.58931 Article 2014 ftdryad https://doi.org/10.5061/dryad.rn636 https://doi.org/10.5061/dryad.rn636/1 https://doi.org/10.1111/1755-0998.12238 2020-01-01T15:06:09Z Valid fish species identification is an essential step both for fundamental science and fisheries management. The traditional identification is mainly based on external morphological diagnostic characters, leading to inconsistent results in many cases. Here, we provide a sequence reference library based on mitochondrial cytochrome c oxidase subunit I (COI) for a valid identification of 93 North Atlantic fish species originating from the North Sea and adjacent waters, including many commercially exploited species. Neighbour-joining analysis based on K2P genetic distances formed nonoverlapping clusters for all species with a ≥99% bootstrap support each. Identification was successful for 100% of the species as the minimum genetic distance to the nearest neighbour always exceeded the maximum intraspecific distance. A barcoding gap was apparent for the whole data set. Within-species distances ranged from 0 to 2.35%, while interspecific distances varied between 3.15 and 28.09%. Distances between congeners were on average 51-fold higher than those within species. The validation of the sequence library by applying BOLDs barcode index number (BIN) analysis tool and a ranking system demonstrated high taxonomic reliability of the DNA barcodes for 85% of the investigated fish species. Thus, the sequence library presented here can be confidently used as a benchmark for identification of at least two-thirds of the typical fish species recorded for the North Sea. Article in Journal/Newspaper North Atlantic Dryad Digital Repository (Duke University)
institution Open Polar
collection Dryad Digital Repository (Duke University)
op_collection_id ftdryad
language unknown
description Valid fish species identification is an essential step both for fundamental science and fisheries management. The traditional identification is mainly based on external morphological diagnostic characters, leading to inconsistent results in many cases. Here, we provide a sequence reference library based on mitochondrial cytochrome c oxidase subunit I (COI) for a valid identification of 93 North Atlantic fish species originating from the North Sea and adjacent waters, including many commercially exploited species. Neighbour-joining analysis based on K2P genetic distances formed nonoverlapping clusters for all species with a ≥99% bootstrap support each. Identification was successful for 100% of the species as the minimum genetic distance to the nearest neighbour always exceeded the maximum intraspecific distance. A barcoding gap was apparent for the whole data set. Within-species distances ranged from 0 to 2.35%, while interspecific distances varied between 3.15 and 28.09%. Distances between congeners were on average 51-fold higher than those within species. The validation of the sequence library by applying BOLDs barcode index number (BIN) analysis tool and a ranking system demonstrated high taxonomic reliability of the DNA barcodes for 85% of the investigated fish species. Thus, the sequence library presented here can be confidently used as a benchmark for identification of at least two-thirds of the typical fish species recorded for the North Sea.
format Article in Journal/Newspaper
author Knebelsberger, Thomas
spellingShingle Knebelsberger, Thomas
Data from: A reliable DNA barcode reference library for the identification of the European shelf fish fauna
author_facet Knebelsberger, Thomas
author_sort Knebelsberger, Thomas
title Data from: A reliable DNA barcode reference library for the identification of the European shelf fish fauna
title_short Data from: A reliable DNA barcode reference library for the identification of the European shelf fish fauna
title_full Data from: A reliable DNA barcode reference library for the identification of the European shelf fish fauna
title_fullStr Data from: A reliable DNA barcode reference library for the identification of the European shelf fish fauna
title_full_unstemmed Data from: A reliable DNA barcode reference library for the identification of the European shelf fish fauna
title_sort data from: a reliable dna barcode reference library for the identification of the european shelf fish fauna
publishDate 2014
url http://hdl.handle.net/10255/dryad.58931
https://doi.org/10.5061/dryad.rn636
genre North Atlantic
genre_facet North Atlantic
op_relation doi:10.5061/dryad.rn636/1
doi:10.1111/1755-0998.12238
PMID:24618145
doi:10.5061/dryad.rn636
Knebelsberger T, Landi M, Neumann H, Kloppmann M, Sell AF, Campbell PD, Laakmann S, Raupach MJ, Carvalho GR, Costa FO (2014) A reliable DNA barcode reference library for the identification of the European shelf fish fauna. Molecular Ecology Resources 14(5): 1060-1071.
http://hdl.handle.net/10255/dryad.58931
op_doi https://doi.org/10.5061/dryad.rn636
https://doi.org/10.5061/dryad.rn636/1
https://doi.org/10.1111/1755-0998.12238
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