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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Marine & Wildlife Sign in to save

Molecular characterization of juvenile fish from the Amazon estuary using DNA barcoding approach

PLoS ONE 2023 4 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Ítalo Lutz, Thais Martins, Felipe Arian de Andrade Araújo, Charles Samuel Moraes Ferreira, Paula Santana, Josy Miranda, Suane Matos, Jefferson Sousa, Luciano de Jesus Gomes Pereira, Bianca Bentes, Raimundo da Silva, Ivana Veneza, Iracilda Sampaio, Marcelo Vallinoto, Grazielle Gomes

Summary

Researchers applied DNA barcoding via sequencing of the Cytochrome C Subunit I (COI) gene to identify juvenile fish species along the Caeté River estuary in the Brazilian Blue Amazon. Using 500-bp gene fragments from collected specimens, the study evaluated DNA barcoding as a reliable tool for species discrimination in early ontogenetic stages where morphological identification is difficult.

Study Type Environmental

The efficiency of the DNA barcoding relies on sequencing fragment of the Cytochrome C Subunit I (COI) gene, which has been claimed as a tool to biodiversity identification from distinct groups. Accordingly, the goal of this study was to identify juvenile fish species along an estuary of Caeté River in the Brazilian Blue Amazon based on. For this purpose, we applied the DNA barcoding and discuss this approach as a tool for discrimination of species in early ontogenetic stages. A 500-bp fragment was obtained from 74 individuals, belonging to 23 species, 20 genera, 13 families and seven orders. About 70% of the 46 haplotypes revealed congruence between morphological and molecular species identification, while 8% of them failed in identification of taxa and 22% demonstrated morphological misidentification. These results proved that COI fragments were effective to diagnose fish species at early life stages, allowing identifying all samples to a species-specific status, except for some taxa whose COI sequences remain unavailable in public databases. Therefore, we recommend the incorporation of DNA barcoding to provide additional support to traditional identification, especially in morphologically controversial groups. In addition, periodic updates and comparative analyses in public COI datasets are encouraged.

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