Phenotypic and molecular characterization of potential pathogens from raw fish, meat and milk samples sold and consumed in Calabar Metropolis, Cross River State, Nigeria

Objectives: This study isolated and characterized potential pathogens from raw fish, meat (goat and ram), and milk samples using cultural and molecular techniques, and their susceptibility to routine antibiotics. Methods: This design was a cross-sectional study where raw fish, meat (goat and ram), and milk from various markets were characterised using cultural and molecular susceptibility to antibiotics used to manage infections they cause in clinical use. Furthermore, the isolates were subjected to pathogenicity tests using amylase and protease screening. Results: Cultural technique identified a total of 42 isolates and these were: Morganella sp (n=6), Providencia sp (n=7), Klebsiella sp (n=10), E. coli (n=11) and Salmonella sp (n=8). All the isolates showed multi-drug resistance (MDR) to gentamicin, levofloxacin, clindamycin, ciprofloxacin, cefoxicin, piperacillin-azobactam, amikacin, and amoxicillin-clavulanic acid antibiotics. Following antimicrobial sensitivity, 9 isolates with multidrug resistance were selected for molecular characterisation and these were identified as Escherichia coli, Klebsiella pneumoniae, Morganella morganii subsp. Morganii, Providencia stuartii, Klebsiella pneumoniae and Salmonella enterica subsp. Enterica. All the isolates showed amylase and protease activity. Conclusion: The MDR and pathogenicity potential of the isolates indicate their ability to elicit a potential foodborne infection in the study area and it is a cause for concern.

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Publication Details

Journal
Babcock University Medical Journal
Published
2024-12-31
DOI
https://doi.org/10.38029/babcockuniv.med.j..v7i2.528
Primary Topic
Identification and Quantification in Food
Type
article
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article

Phenotypic and molecular characterization of potential pathogens from raw fish, meat and milk samples sold and consumed in Calabar Metropolis, Cross River State, Nigeria

Glory Philemon Bebia, Francisca Nwaokorie, Joy Chinweokwu Ugwu, Augustine A. Unimke et al.
Babcock University Medical Journal
Identification and Quantification in Food
article

Phenotypic and molecular characterization of potential pathogens from raw fish, meat and milk samples sold and consumed in Calabar Metropolis, Cross River State, Nigeria

Glory Philemon Bebia, Francisca Nwaokorie, Joy Chinweokwu Ugwu, Augustine A. Unimke, Emmanuel Ibeneme, J Epoke, Edet Uwem, Ajaba Mathias Okang, Andrew Chijioke Ugwu
article en

Abstract

Objectives: This study isolated and characterized potential pathogens from raw fish, meat (goat and ram), and milk samples using cultural and molecular techniques, and their susceptibility to routine antibiotics. Methods: This design was a cross-sectional study where raw fish, meat (goat and ram), and milk from various markets were characterised using cultural and molecular susceptibility to antibiotics used to manage infections they cause in clinical use. Furthermore, the isolates were subjected to pathogenicity tests using amylase and protease screening. Results: Cultural technique identified a total of 42 isolates and these were: Morganella sp (n=6), Providencia sp (n=7), Klebsiella sp (n=10), E. coli (n=11) and Salmonella sp (n=8). All the isolates showed multi-drug resistance (MDR) to gentamicin, levofloxacin, clindamycin, ciprofloxacin, cefoxicin, piperacillin-azobactam, amikacin, and amoxicillin-clavulanic acid antibiotics. Following antimicrobial sensitivity, 9 isolates with multidrug resistance were selected for molecular characterisation and these were identified as Escherichia coli, Klebsiella pneumoniae, Morganella morganii subsp. Morganii, Providencia stuartii, Klebsiella pneumoniae and Salmonella enterica subsp. Enterica. All the isolates showed amylase and protease activity. Conclusion: The MDR and pathogenicity potential of the isolates indicate their ability to elicit a potential foodborne infection in the study area and it is a cause for concern.

Babcock University Medical JournalVol. 7(2)
University of Lagos (NG), University of Cross River State (NG), University of Calabar (NG)
Openalex Percentile: Top 78%
Identification and Quantification in Food
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