Literature DB >> 30478936

Tracing individuals and populations of the tambaqui, Colossoma macropomum (Cuvier, 1818), from Brazilian hatcheries using microsatellite markers.

Jonas da Paz Aguiar1, Paola F Fazzi-Gomes2, Igor G Hamoy2, Sidney Eb Dos Santos3, Iracilda Sampaio1.   

Abstract

BACKGROUND: In recent years, tracing of alimentary produce of animal origin has become increasingly important, for economic, food safety and ecological reasons. The tambaqui, Colossoma macropomum, is the native fish most farmed in Brazil. The reliable identification of the origin of tambaquis (wild or farmed) offered for sale to the general public has become necessary to satisfy regulatory norms and uphold consumer confidence. Molecular methods based on the analysis of DNA sequences have often been used to evaluate the potential for tracing farmed fish, given their reliability and precision.
RESULTS: Full likelihood and Bayesian approaches proved to be the most efficient for the identification, respectively, of individuals and populations for most of the fish sampled from seven hatcheries and one wild stock. The exclusion method and genetic distances were the least effective approaches for the identification of individuals and populations. The Bayesian method identified correctly more than 99% of the fry from most stocks, except those of the Santarém hatchery and River Amazon wild stock, which presented the best results for individual identification.
CONCLUSIONS: The identification of populations was effective for most hatcheries, although the identification of individuals from most stocks was hampered by the reduced genetic variability.
© 2018 Society of Chemical Industry. © 2018 Society of Chemical Industry.

Entities:  

Keywords:  Colossoma macropomum; aquaculture; genetic tracking; microsatellites

Mesh:

Year:  2019        PMID: 30478936     DOI: 10.1002/jsfa.9513

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  1 in total

1.  Novel Microsatellite Markers Used for Determining Genetic Diversity and Tracing of Wild and Farmed Populations of the Amazonian Giant Fish Arapaima gigas.

Authors:  Paola Fabiana Fazzi-Gomes; Jonas da Paz Aguiar; Diego Marques; Gleyce Fonseca Cabral; Fabiano Cordeiro Moreira; Marilia Danyelle Nunes Rodrigues; Caio Santos Silva; Igor Hamoy; Sidney Santos
Journal:  Genes (Basel)       Date:  2021-08-27       Impact factor: 4.096

  1 in total

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