Identification of fish specimens of the Tocantins River, Brazil, using DNA barcoding

Author:

Lima Renato Corrêia1ORCID,de Lima Sabrina Rufino1ORCID,Rocha Marcelo Salles2ORCID,dos Anjos Hélio Daniel Beltrão3ORCID,Dantas Yasmin Catarina Alves4ORCID,Benites Ignácio Davi Navegante5ORCID,Queiroz Cleonilde da Conceição Silva6ORCID,Fraga Elmary da Costa7ORCID,Batista Jacqueline da Silva8ORCID

Affiliation:

1. Programa de Pós‐Graduação em Genética, Conservação e Biologia Evolutiva (PPG‐GCBEv), Laboratório Temático de Biologia Molecular (LTBM), Instituto Nacional de Pesquisas da Amazônia (INPA) Manaus Brazil

2. Coordenação de Ciências Biológicas, Universidade do Estado do Amazonas (UEA) Manaus Brazil

3. Laboratório de Sistemática e Ecologia de peixes, Instituto Nacional de Pesquisas da Amazônia (INPA) Manaus Brazil

4. Programa de Pós‐Graduação em Zoologia, Universidade Federal do Amazonas (UFAM) Manaus Brazil

5. Instituto de Ciências Biológicas (ICB), Curso de Biotecnologia, Universidade Federal do Amazonas (UFAM) Manaus Brazil

6. Centro de Ciências Exatas, Naturais e Tecnológicas (CCENT), Universidade Estadual da Região Tocantina do Maranhão (UEMASUL) Imperatriz Brazil

7. Departamento de Química e Biologia, Universidade Estadual do Maranhão (UEMA) Caxias Brazil

8. Coordenação de Biodiversidade (COBIO), Laboratório Temático de Biologia Molecular (LTBM), Programa de Pós‐Graduação em Genética, Conservação e Biologia Evolutiva (PPG‐GCBEv), Instituto Nacional de Pesquisas da Amazônia (INPA) Manaus Brazil

Abstract

AbstractThe fish fauna of the Tocantins River possesses many endemic species; however, it is little studied in molecular terms and is quite threatened by the construction of several hydroelectric dams. Therefore, the objective of this study was to identify the ichthyofauna of the Tocantins River using DNA barcoding. For this, collections were carried out in five points of this river, which resulted in the capture of 725 individuals from which partial sequences of the cytochrome oxidase subunit I (COI) gene were obtained for genetic analysis. A total of 443 haplotypes were recovered with the mean intraspecific K2P genetic distance of 1.82%. Altogether, 138 species were identified based on morphological criteria, which was a quantity that was much lower than that indicated by the four molecular methods (assemble species by automatic partitioning [ASAP], barcode index number [BIN], generalized mixed Yule coalescent (GMYC), and Bayesian Poisson tree processes [bPTP]) through which 152–157 molecular entities were identified. In all, 41 unique BINs were obtained based on the data generated in the BOLDSystems platform. According to the result indicated by ASAP (species delimitation approach considered the most appropriate in the present study), there was an increase of 17 molecular entities (12.32%), when compared to the number of species identified through their morphological criteria, as it can show cryptic diversity, candidates for new species, and misidentifications. There were 21 incongruities indicated between the different identification approaches for species. Therefore, it is suggested that these taxonomic problems be cautiously evaluated by experts to solve such taxonomic issues.

Funder

Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão

Fundação de Amparo à Pesquisa do Estado do Amazonas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

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