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Molecular Characterization of Salmonella Detected along the Broiler Production Chain in Trinidad and Tobago

Authors :
Anisa Sarah Khan
Rian Ewald Pierneef
Narjol Gonzalez-Escalona
Meghan Maguire
Cong Li
Gregory H. Tyson
Sherry Ayers
Karla Georges
Woubit Abebe
Abiodun Adewale Adesiyun
Source :
Microorganisms, Vol 10, Iss 3, p 570 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

This cross-sectional study determined the serovars, antimicrobial resistance genes, and virulence factors of Salmonella isolated from hatcheries, broiler farms, processing plants, and retail outlets in Trinidad and Tobago. Salmonella in silico serotyping detected 23 different serovars where Kentucky 20.5% (30/146), Javiana 19.2% (28/146), Infantis 13.7% (20/146), and Albany 8.9% (13/146) were the predominant serovars. There was a 76.0% (111/146) agreement between serotyping results using traditional conventional methods and whole-genome sequencing (WGS) in in silico analysis. In silico identification of antimicrobial resistance genes conferring resistance to aminoglycosides, cephalosporins, peptides, sulfonamides, and antiseptics were detected. Multidrug resistance (MDR) was detected in 6.8% (10/146) of the isolates of which 100% originated from broiler farms. Overall, virulence factors associated with secretion systems and fimbrial adherence determinants accounted for 69.3% (3091/4463), and 29.2% (1302/4463) counts, respectively. Ten of 20 isolates of serovar Infantis (50.0%) showed MDR and contained the blaCTX-M-65 gene. This is the first molecular characterization of Salmonella isolates detected along the entire broiler production continuum in the Caribbean region using WGS. The availability of these genomes will help future source tracking during epidemiological investigations associated with Salmonella foodborne outbreaks in the region and worldwide.

Details

Language :
English
ISSN :
20762607
Volume :
10
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Microorganisms
Publication Type :
Academic Journal
Accession number :
edsdoj.9cdbcae900be44daad669524026a505c
Document Type :
article
Full Text :
https://doi.org/10.3390/microorganisms10030570