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Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa

OBJECTIVE: This study aimed to characterise antibiotics resistance of Escherichia coli isolates from the formal meat sector (FMS) and informal meat sectors (INMS). METHOD: A total of 162 and 102 E. coli isolates from the FMS, and INMS respectively were isolated by standard culture-based, and biochem...

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Autores principales: Jaja, Ishmael Festus, Oguttu, James, Jaja, Chinwe-Juliana Iwu, Green, Ezekiel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250413/
https://www.ncbi.nlm.nih.gov/pubmed/32453796
http://dx.doi.org/10.1371/journal.pone.0216914
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author Jaja, Ishmael Festus
Oguttu, James
Jaja, Chinwe-Juliana Iwu
Green, Ezekiel
author_facet Jaja, Ishmael Festus
Oguttu, James
Jaja, Chinwe-Juliana Iwu
Green, Ezekiel
author_sort Jaja, Ishmael Festus
collection PubMed
description OBJECTIVE: This study aimed to characterise antibiotics resistance of Escherichia coli isolates from the formal meat sector (FMS) and informal meat sectors (INMS). METHOD: A total of 162 and 102 E. coli isolates from the FMS, and INMS respectively were isolated by standard culture-based, and biochemical reactions. The isolates were further confirmed by polymerase chain reaction (PCR). The disc diffusion method was used to screen for antimicrobial susceptibility against 19 different antibiotics. The presence of class 1–2 integrons in each E. coli isolates was assessed using 3′-CS and 5′-CS regions specific primers. RESULT: Among the 19 antimicrobials, resistance to tetracyclines, aminoglycosides, cephalosporins, and nitrofurans were found to be more frequent than carbapenems and chloramphenicol. The number of multi-drug resistance ranged from three to ten antimicrobials. The resistant determinants with the highest prevalence in the FMS and INMS were; [aminoglycosides: aadA (40.6%; 31.9%), and strA (6.5%; 9.4%)], [β-lactams: ampC (20%; 45%),], [Chloramphenicol: catI (1.7%; 1.7%), and [tetracyclines: tetB (11.5%; 24%),], and [sulfonamides: sul1 (22.2%; 26.7%),]. CONCLUSION: Higher phenotypic resistance to cephalosporins and carbapenems were found in the FMS than in INMS. The multiple antibiotic resistance (MAR) indexes for FMS and INMS ranged from 0.2–0.5. The results reveal a high prevalence of multidrug-resistant E. coli isolates and resistance determinants, suggesting that consumers and handlers of such meat are at risk of contracting antibiotic-resistant E. coli-related foodborne disease.
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spelling pubmed-72504132020-06-08 Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa Jaja, Ishmael Festus Oguttu, James Jaja, Chinwe-Juliana Iwu Green, Ezekiel PLoS One Research Article OBJECTIVE: This study aimed to characterise antibiotics resistance of Escherichia coli isolates from the formal meat sector (FMS) and informal meat sectors (INMS). METHOD: A total of 162 and 102 E. coli isolates from the FMS, and INMS respectively were isolated by standard culture-based, and biochemical reactions. The isolates were further confirmed by polymerase chain reaction (PCR). The disc diffusion method was used to screen for antimicrobial susceptibility against 19 different antibiotics. The presence of class 1–2 integrons in each E. coli isolates was assessed using 3′-CS and 5′-CS regions specific primers. RESULT: Among the 19 antimicrobials, resistance to tetracyclines, aminoglycosides, cephalosporins, and nitrofurans were found to be more frequent than carbapenems and chloramphenicol. The number of multi-drug resistance ranged from three to ten antimicrobials. The resistant determinants with the highest prevalence in the FMS and INMS were; [aminoglycosides: aadA (40.6%; 31.9%), and strA (6.5%; 9.4%)], [β-lactams: ampC (20%; 45%),], [Chloramphenicol: catI (1.7%; 1.7%), and [tetracyclines: tetB (11.5%; 24%),], and [sulfonamides: sul1 (22.2%; 26.7%),]. CONCLUSION: Higher phenotypic resistance to cephalosporins and carbapenems were found in the FMS than in INMS. The multiple antibiotic resistance (MAR) indexes for FMS and INMS ranged from 0.2–0.5. The results reveal a high prevalence of multidrug-resistant E. coli isolates and resistance determinants, suggesting that consumers and handlers of such meat are at risk of contracting antibiotic-resistant E. coli-related foodborne disease. Public Library of Science 2020-05-26 /pmc/articles/PMC7250413/ /pubmed/32453796 http://dx.doi.org/10.1371/journal.pone.0216914 Text en © 2020 Jaja et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jaja, Ishmael Festus
Oguttu, James
Jaja, Chinwe-Juliana Iwu
Green, Ezekiel
Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa
title Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa
title_full Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa
title_fullStr Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa
title_full_unstemmed Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa
title_short Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa
title_sort prevalence and distribution of antimicrobial resistance determinants of escherichia coli isolates obtained from meat in south africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250413/
https://www.ncbi.nlm.nih.gov/pubmed/32453796
http://dx.doi.org/10.1371/journal.pone.0216914
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