The rapid expansion of broiler chicken production in Brazil has presented significant sanitation challenges within the poultry industry. Among these challenges, Salmonella enterica subsp. enterica serotype Heidelberg stands as a contributor to global salmonellosis outbreaks. This study analyzed 13 draft genomes of Salmonella Heidelberg isolated from the pre-slaughter broiler chickens farms in Brazil. By conducting in silico analysis of these genomes, the study investigated genome similarity based on single nucleotide polymorphisms (SNPs) and identified genes encoding resistance to antimicrobials, sanitizers, and virulence factors. Furthermore, mobile genetic elements (MGE) were identified to assess their potential role in propagating genes through horizontal gene transfer. A risk classification was also applied based on the resistomes. The genomes revealed a high prevalence of genes conferring resistance to aminoglycosides, fosfomycin, sulfonamides, tetracycline, and genes linked to quaternary ammonium resistance. The study also uncovered six Salmonella pathogenicity islands (SPI) and over 100 genes encoding virulence factors. The association of MGE with antibiotic-resistant genes sul2 and blaCMY-2 raised concerns about the potential transfer to other bacteria, posing a substantial risk for spreading resistance mechanisms according to established risk protocols. Additionally, SNP analysis indicated close phylogenetic relationships among some isolates, suggesting a common origin. This study enhances our understanding of Salmonella Heidelberg strains by identifying key risk factors for transmission and revealing the association between resistance genes and MGEs. This insight provides a foundation for developing and implementing effective control, monitoring, and treatment strategies in the poultry industry.
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http://dx.doi.org/10.1007/s42770-024-01544-2 | DOI Listing |
Vet Immunol Immunopathol
December 2024
Southeast Area, Agricultural Research Service, U. S. Department of Agriculture, 840 Oval Drive, Raleigh, NC 27606, USA.
Implementation of a vaccination program is one of the most effective means to control infectious diseases during food animal production. Salmonella, a Gram-negative bacterium, is a leading bacterial cause of human foodborne illnesses worldwide. The major source of this microorganism for human infection is from consumption of unsanitary poultry products.
View Article and Find Full Text PDFPathogens
December 2024
Department of Food Science, Center for Food Safety, University of Arkansas System Division of Agriculture, Fayetteville, AR 72704, USA.
Various serotypes have caused numerous foodborne outbreaks associated with food vehicles in different categories. This study provides evidence on the occurrence and inter-relations between serotypes and the number of deaths mediated by the number of illnesses and hospitalizations. Confirmed foodborne outbreaks of serotypes (n = 2868) that occurred between 1998 and 2021 were obtained from the Centers for Disease Control and Prevention National Outbreak Reporting System.
View Article and Find Full Text PDFEpidemiol Infect
December 2024
Outbreak Management Division, Public Health Agency of Canada, Ottawa, Ontario, Canada.
Can J Microbiol
December 2024
Health Canada, Bureau of Microbial Hazards, Food and Nutrition Directorate, Ottawa, Ontario, Canada;
Conjugation is a complex phenomenon involving multiple plasmid, bacterial, and environmental factors. Here we describe an IncI1 plasmid encoding multidrug antibiotic resistance to aminoglycosides, sulfonamides, and third generation cephalosporins. This plasmid is widespread geographically and among One Health animal, human, and environmental sectors.
View Article and Find Full Text PDFJ Food Prot
December 2024
Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616, United States. Electronic address:
The traditional gold standard for detection of Salmonella in meat products is bacterial culture with enrichment. While this method is highly sensitive, it is slow and provides an incomplete assessment of isolate taxonomy in positive samples. This study presents a novel PCR-based detection assay which amplifies the 16s-ITS-23s region which is an approximately 2,500 base pair region of the larger ribosomal rrn operon.
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