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

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...

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Autores principales: Khan, Anisa Sarah, Pierneef, Rian Ewald, Gonzalez-Escalona, Narjol, Maguire, Meghan, Li, Cong, Tyson, Gregory H., Ayers, Sherry, Georges, Karla, Abebe, Woubit, Adesiyun, Abiodun Adewale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955423/
https://www.ncbi.nlm.nih.gov/pubmed/35336145
http://dx.doi.org/10.3390/microorganisms10030570
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author Khan, Anisa Sarah
Pierneef, Rian Ewald
Gonzalez-Escalona, Narjol
Maguire, Meghan
Li, Cong
Tyson, Gregory H.
Ayers, Sherry
Georges, Karla
Abebe, Woubit
Adesiyun, Abiodun Adewale
author_facet Khan, Anisa Sarah
Pierneef, Rian Ewald
Gonzalez-Escalona, Narjol
Maguire, Meghan
Li, Cong
Tyson, Gregory H.
Ayers, Sherry
Georges, Karla
Abebe, Woubit
Adesiyun, Abiodun Adewale
author_sort Khan, Anisa Sarah
collection PubMed
description 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 bla(CTX-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.
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spelling pubmed-89554232022-03-26 Molecular Characterization of Salmonella Detected along the Broiler Production Chain in Trinidad and Tobago Khan, Anisa Sarah Pierneef, Rian Ewald Gonzalez-Escalona, Narjol Maguire, Meghan Li, Cong Tyson, Gregory H. Ayers, Sherry Georges, Karla Abebe, Woubit Adesiyun, Abiodun Adewale Microorganisms Article 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 bla(CTX-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. MDPI 2022-03-06 /pmc/articles/PMC8955423/ /pubmed/35336145 http://dx.doi.org/10.3390/microorganisms10030570 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Khan, Anisa Sarah
Pierneef, Rian Ewald
Gonzalez-Escalona, Narjol
Maguire, Meghan
Li, Cong
Tyson, Gregory H.
Ayers, Sherry
Georges, Karla
Abebe, Woubit
Adesiyun, Abiodun Adewale
Molecular Characterization of Salmonella Detected along the Broiler Production Chain in Trinidad and Tobago
title Molecular Characterization of Salmonella Detected along the Broiler Production Chain in Trinidad and Tobago
title_full Molecular Characterization of Salmonella Detected along the Broiler Production Chain in Trinidad and Tobago
title_fullStr Molecular Characterization of Salmonella Detected along the Broiler Production Chain in Trinidad and Tobago
title_full_unstemmed Molecular Characterization of Salmonella Detected along the Broiler Production Chain in Trinidad and Tobago
title_short Molecular Characterization of Salmonella Detected along the Broiler Production Chain in Trinidad and Tobago
title_sort molecular characterization of salmonella detected along the broiler production chain in trinidad and tobago
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955423/
https://www.ncbi.nlm.nih.gov/pubmed/35336145
http://dx.doi.org/10.3390/microorganisms10030570
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