Please use this identifier to cite or link to this item: https://repositorio.inpa.gov.br/handle/1/14654
Title: DNA barcoding of fish fauna from low order streams of Tapajós River basin
Authors: Guimarães, Karen Larissa Auzier
Sousa, Marcos Paulo Alho de
Ribeiro, Frank Raynner Vasconcelos
Porto, Jorge Ivan Rebelo
Rodrigues, Luís Reginaldo Ribeiro
Keywords: Aequidens Epae
Chordata
Coi Gene
Controlled Study
Copella Callolepis
Dna Barcoding
Fauna
Gene
Gene Sequence
Genetic Distance
Genetic Variability
Intraspecific Distance
Knodus
Nonhuman
River Basin
Stream (river)
Water Supply
Animals
Biodiversity
Environmental Protection
Fish
Genetics
Phylogeny
River
Cytochrome C Oxidase
Fish Protein
Animalss
Biodiversity
Conservation Of Natural Resources
Dna Barcoding, Taxonomic
Electron Transport Complex Iv
Fish Proteins
Fishes
Phylogeny
Rivers
Issue Date: 2018
metadata.dc.publisher.journal: PLoS ONE
metadata.dc.relation.ispartof: Volume 13, Número 12
Abstract: The Amazon basin harbors a megadiverse fish fauna spread in an intricate network of big rivers and small streams. The Amazonian streams are home of many small sized fishes that remains poorly documented. In order to accelerate the scientific knowledge on these important aquatic systems we adopted a modern integrative approach joining morphology and molecular tools to investigate the ichthyofauna assemblages from low order streams situated on the lower Tapajós River Basin. Cytochrome c Oxidase I (COI) DNA barcodes from 252 specimens collected from 10 stream sites were obtained. The combined analysis revealed 29 species, 21 genera and 11 families. Cryptic diversity was evidenced in Knodus sp.1, Aequidens epae and Copella callolepis, in which deep genetic divergence were detected (intraspecific distances: 20.48%, 7.99% and 3.77%, respectively). The putative new species showed closer relationships with their counterparts occurring in the Tapajós-Xingu water drainages. © 2018 Guimarães et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
metadata.dc.identifier.doi: 10.1371/journal.pone.0209430
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