First DNA barcode reference library for the identification of South American freshwater fish from the lower Paraná River
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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.
Para citar este articulo: Díaz J, Villanova GV, Brancolini F, del Pazo F, Posner VM, Grimberg A, et al. (2016) First DNA Barcode Reference Library for the Identification of South American Freshwater Fish from the Lower Paraná River. PLoS ONE 11(7): e0157419. doi:10.1371/journal.pone.0157419
Para citar este articulo: Díaz J, Villanova GV, Brancolini F, del Pazo F, Posner VM, Grimberg A, et al. (2016) First DNA Barcode Reference Library for the Identification of South American Freshwater Fish from the Lower Paraná River. PLoS ONE 11(7): e0157419. doi:10.1371/journal.pone.0157419
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