First DNA Barcode Reference Library for the Identification of South American Freshwater Fish from the Lower Paraná River.

Valid fish species identification is essential for biodiversity conservation and fisheries management. Here, we provide a sequence reference library based on mitochondrial cytochrome c oxidase subunit I for a valid identification of 79 freshwater fish species from the Lower Paraná River. Neighbour-j...

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Main Authors: Juan Díaz, Gabriela Vanina Villanova, Florencia Brancolini, Felipe Del Pazo, Victoria Maria Posner, Alexis Grimberg, Silvia Eda Arranz
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4956254?pdf=render
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spelling doaj-5447d00c08374145aabb40ab9b9274572020-11-24T20:45:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01117e015741910.1371/journal.pone.0157419First DNA Barcode Reference Library for the Identification of South American Freshwater Fish from the Lower Paraná River.Juan DíazGabriela Vanina VillanovaFlorencia BrancoliniFelipe Del PazoVictoria Maria PosnerAlexis GrimbergSilvia Eda ArranzValid fish species identification is essential for biodiversity conservation and fisheries management. Here, we provide a sequence reference library based on mitochondrial cytochrome c oxidase subunit I for a valid identification of 79 freshwater fish species from the Lower Paraná River. Neighbour-joining analysis based on K2P genetic distances formed non-overlapping clusters for almost all species with a ≥99% bootstrap support each. Identification was successful for 97.8% of species as the minimum genetic distance to the nearest neighbour exceeded the maximum intraspecific distance in all these cases. A barcoding gap of 2.5% was apparent for the whole data set with the exception of four cases. Within-species distances ranged from 0.00% to 7.59%, while interspecific distances varied between 4.06% and 19.98%, without considering Odontesthes species with a minimum genetic distance of 0%. Sequence library validation was performed by applying BOLDs BIN analysis tool, Poisson Tree Processes model and Automatic Barcode Gap Discovery, along with a reliable taxonomic assignment by experts. Exhaustive revision of vouchers was performed when a conflicting assignment was detected after sequence analysis and BIN discordance evaluation. Thus, the sequence library presented here can be confidently used as a benchmark for identification of half of the fish species recorded for the Lower Paraná River.http://europepmc.org/articles/PMC4956254?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Juan Díaz
Gabriela Vanina Villanova
Florencia Brancolini
Felipe Del Pazo
Victoria Maria Posner
Alexis Grimberg
Silvia Eda Arranz
spellingShingle Juan Díaz
Gabriela Vanina Villanova
Florencia Brancolini
Felipe Del Pazo
Victoria Maria Posner
Alexis Grimberg
Silvia Eda Arranz
First DNA Barcode Reference Library for the Identification of South American Freshwater Fish from the Lower Paraná River.
PLoS ONE
author_facet Juan Díaz
Gabriela Vanina Villanova
Florencia Brancolini
Felipe Del Pazo
Victoria Maria Posner
Alexis Grimberg
Silvia Eda Arranz
author_sort Juan Díaz
title First DNA Barcode Reference Library for the Identification of South American Freshwater Fish from the Lower Paraná River.
title_short First DNA Barcode Reference Library for the Identification of South American Freshwater Fish from the Lower Paraná River.
title_full First DNA Barcode Reference Library for the Identification of South American Freshwater Fish from the Lower Paraná River.
title_fullStr First DNA Barcode Reference Library for the Identification of South American Freshwater Fish from the Lower Paraná River.
title_full_unstemmed First DNA Barcode Reference Library for the Identification of South American Freshwater Fish from the Lower Paraná River.
title_sort first dna barcode reference library for the identification of south american freshwater fish from the lower paraná river.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description Valid fish species identification is essential for biodiversity conservation and fisheries management. Here, we provide a sequence reference library based on mitochondrial cytochrome c oxidase subunit I for a valid identification of 79 freshwater fish species from the Lower Paraná River. Neighbour-joining analysis based on K2P genetic distances formed non-overlapping clusters for almost all species with a ≥99% bootstrap support each. Identification was successful for 97.8% of species as the minimum genetic distance to the nearest neighbour exceeded the maximum intraspecific distance in all these cases. A barcoding gap of 2.5% was apparent for the whole data set with the exception of four cases. Within-species distances ranged from 0.00% to 7.59%, while interspecific distances varied between 4.06% and 19.98%, without considering Odontesthes species with a minimum genetic distance of 0%. Sequence library validation was performed by applying BOLDs BIN analysis tool, Poisson Tree Processes model and Automatic Barcode Gap Discovery, along with a reliable taxonomic assignment by experts. Exhaustive revision of vouchers was performed when a conflicting assignment was detected after sequence analysis and BIN discordance evaluation. Thus, the sequence library presented here can be confidently used as a benchmark for identification of half of the fish species recorded for the Lower Paraná River.
url http://europepmc.org/articles/PMC4956254?pdf=render
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