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Salmonella enterica is a bacterial foodborne pathogen notorious for infecting humans and animals. Proper control of Salmonella requires routine surveillance and interventions across the food-production chain. However, due to limited resources the dynamics and transmission of non-typhoidal Salmonella serotypes remain poorly understood in several African settings, including within Ghana. Here, we employed bacterial culture and whole genome sequencing (WGS) to investigate the prevalence, virulence and antimicrobial resistance determinants of Salmonella enterica isolates from beef, cattle blood and human patient stool in Greater Tamale Metropolis, Ghana. Enrichment and culture of the specimens yielded 62 isolates in total from beef (31), bovine blood (28) and human diarrhoeal specimens (3). We identified at least 15 STs and 18 different Salmonella serovars. The most common serovars detected were Poona (n=13), Montevideo (n=10) and Poano (n=7) with S. Montevideo being the most common from cattle blood. Thirty-two isolates belonged to novel sequence types (STs), with ST2609 (n=9) being most common. Four raw beef isolates harboured at least one gene conferring resistance to beta-lactam (blaTEM-1), chloramphenicol (catA), fosfomycin (fosA7), quinolone (qnrD1) or tetracycline (tet(A)). Eight isolates carried at an IncF, IncI and/orCol3M plasmid replicon. This study recovered Salmonella, often belonging to previously undocumented STs, at high frequencies from cattle and beef and demonstrated that isolates from human diarrhoeal patients are closely related to bovine isolates. The data highlight the need for broader and sustained surveillance and the urgent need for food safety interventions in Ghana.
Salmonella enterica is a bacterial foodborne pathogen notorious for infecting humans and animals. Proper control of Salmonella requires routine surveillance and interventions across the food-production chain. However, due to limited resources the dynamics and transmission of non-typhoidal Salmonella serotypes remain poorly understood in several African settings, including within Ghana. Here, we employed bacterial culture and whole genome sequencing (WGS) to investigate the prevalence, virulence and antimicrobial resistance determinants of Salmonella enterica isolates from beef, cattle blood and human patient stool in Greater Tamale Metropolis, Ghana. Enrichment and culture of the specimens yielded 62 isolates in total from beef (31), bovine blood (28) and human diarrhoeal specimens (3). We identified at least 15 STs and 18 different Salmonella serovars. The most common serovars detected were Poona (n=13), Montevideo (n=10) and Poano (n=7) with S. Montevideo being the most common from cattle blood. Thirty-two isolates belonged to novel sequence types (STs), with ST2609 (n=9) being most common. Four raw beef isolates harboured at least one gene conferring resistance to beta-lactam (blaTEM-1), chloramphenicol (catA), fosfomycin (fosA7), quinolone (qnrD1) or tetracycline (tet(A)). Eight isolates carried at an IncF, IncI and/orCol3M plasmid replicon. This study recovered Salmonella, often belonging to previously undocumented STs, at high frequencies from cattle and beef and demonstrated that isolates from human diarrhoeal patients are closely related to bovine isolates. The data highlight the need for broader and sustained surveillance and the urgent need for food safety interventions in Ghana.
The emergence of antibiotic-resistant bacteria due to the overuse or inappropriate use of antibiotics has become a significant public health concern. The agri-food chain, which serves as a vital link between the environment, food, and human, contributes to the large-scale dissemination of antibiotic resistance, posing a concern to both food safety and human health. Identification and evaluation of antibiotic resistance of foodborne bacteria is a crucial priority to avoid antibiotic abuse and ensure food safety. However, the conventional approach for detecting antibiotic resistance heavily relies on culture-based methods, which are laborious and time-consuming. Therefore, there is an urgent need to develop accurate and rapid tools for diagnosing antibiotic resistance in foodborne pathogens. This review aims to provide an overview of the mechanisms of antibiotic resistance at both phenotypic and genetic levels, with a focus on identifying potential biomarkers for diagnosing antibiotic resistance in foodborne pathogens. Furthermore, an overview of advances in the strategies based on the potential biomarkers (antibiotic resistance genes, antibiotic resistanceassociated mutations, antibiotic resistance phenotypes) for antibiotic resistance analysis of foodborne pathogens is systematically exhibited. This work aims to provide guidance for the advancement of efficient and accurate diagnostic techniques for antibiotic resistance analysis in the food industry.
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