Literature DB >> 31193144

Data on prevalence and distribution of antimicrobial resistance determinants of Salmonella enterica isolates from the formal and informal meat sector.

Ishmael Festus Jaja1, Chinwe Juliana Iwu2.   

Abstract

Foodborne pathogen such Salmonella enterica is a leading cause of human gastroenteritis worldwide. The potential to cause more severe and prolonged infection increases when the bacteria harbour resistant gene. In this dataset, S. enterica PCR confirmed isolates recovered from the formal (n = 33) and informal (n = 15) meat sector were further tested against 15 antimicrobials and 20 resistance determinants using the disc-diffusion method on Muller-Hinton agar and the genotypic antimicrobial resistance determinants by PCR. In addition, multiple antimicrobial resistance phenotype and the multiple antimicrobial resistance indexes were shown. The data suggest that meat from the formal sector harbour resistance capacity than meat from the informal sector.

Entities:  

Keywords:  Antimicrobial resistance; Foodborne disease; Informal sector; Meat; South Africa

Year:  2019        PMID: 31193144      PMCID: PMC6520561          DOI: 10.1016/j.dib.2019.103883

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specification table The data on the prevalence of Salmonella enterica will be useful in the further assessment of hygiene management systems (HMS) at abattoir in South Africa. The antimicrobial resistance data on veterinary non-used drugs suggest the need for intensified research on antibiotic stewardship in public health institutions in the country. Hence this data will be useful in tracking antibiotic use by humans. The obtained data can assist in foodborne disease epidemiology and in preventing foodborne diseases caused by resistant Salmonella enterica.

Data

The presented data show the prevalence and antibiogram of Salmonella enterica in the formal and informal meat sector (Fig. 1, Fig. 2). In addition, the data also shows the prevalence of resistance genes and patterns of resistance of the bacteria isolates (Fig. 3, Fig. 4).
Fig. 1

Percentage of Salmonella enterica isolated from the formal (n = 152) and informal (n = 136) meat sector.

Fig. 2

Number and multiple antibiotic resistance (MAR) phenotype in formal and informal sector.

Fig. 3

Percentage distributions of antimicrobial resistance determinants among Salmonella enterica isolates.

Fig. 4

Dual and multiple resistance determinants Salmonella enterica isolates.

Percentage of Salmonella enterica isolated from the formal (n = 152) and informal (n = 136) meat sector. Number and multiple antibiotic resistance (MAR) phenotype in formal and informal sector. Percentage distributions of antimicrobial resistance determinants among Salmonella enterica isolates. Dual and multiple resistance determinants Salmonella enterica isolates.

Experimental design, materials, and methods

The swabbing of the animal carcass was done using a sterile cotton throat swab (CTS). The sterile CTS was used on a 100 cm2 area on each carcass surface using disposable sterile templates. After the collection of each sample, the throat swabs were placed in individual sterile containers, transported in a cooling box containing ice packs to the Department of Biochemistry and Microbiology, University of Fort Hare laboratory for microbial analysis. Swab samples were subjected to serial dilution for bacteria counting. After the counting, a single distinct colony was taken per sample and stored in glycerol for further use. The stored isolates were resuscitated and streaked on Hektoen enteric agar. Colonies showing characteristic green or blue with a black centre growth on Hektoen Enteric agar medium were selected as Salmonella. The selected isolate was confirmed using polymerase chain reaction. Confirmed isolates were further screened for their phenotypic antibiotic susceptibility. Criteria for determining whether the isolate is resistant, intermediate or susceptible were adopted from the National Committee for Clinical Laboratory Standards [3]. Phenotypically resistant isolates were selected for genotypic antibiotics resistance testing to 20 resistance genes.

Specification table

Subject areaBiology, microbiology, public health
More specific subject areaAntimicrobial resistance
Type of dataGraph, figure
How data was acquiredBacteria culture (Hektoen Enteric Agar, Merck KGaA, Darmstadt, Germany), PCR detection and confirmation of bacteria (using a thermocycler, Bio-Rad Mycycler, USA), DNA extraction and agar gel electrophoresis (using a transilluminator, Alliance 4.7, UK)
Data formatAnalyzed
Experimental factorsSalmonella enterica obtained from meat in the formal and informal sector was isolated using Hektoen enteric agar. Antimicrobial susceptibility testing was performed using the disc-diffusion method on Muller- Hinton agar plates according to the National Committee for Clinical Laboratory Standards. All data was captured into Microsoft Excel®. Descriptive statistic, eg frequencies and percentages were calculated using SPSS version 24. Bar charts were created using Microsoft Excel®.
Experimental featuresSwab samples were collected from the formal and informal meat sector. Cultured using standard differential media. DNA extraction was done using the boiling method[1], [2]. The detection and confirmation of Salmonella enterica and antimicrobial resistance gene were done using conventional polymerase chain reaction (PCR). Oligonucleotide primers targeting the invA gene (284bp) were used for the PCR.The PCR conditions for all products used are stated elsewhere[1]. All amplified products were separated on 1.5% agarose gels and the gels photographed under UV light in a trans-illuminator (ALLIANCE 4.7 France)
Data source locationThe University of Fort Hare, Alice, South Africa
Data accessibilityAll data are presented in this article.
Related research articleI.F. Jaja, N.L. Bhembe, E. Green, J. Oguttu, V. Muchenje, Molecular characterisation of antibiotic-resistant Salmonella enterica isolates recovered from meat in South Africa, Acta Trop. 190 (2019) [1]
Value of the data

The data on the prevalence of Salmonella enterica will be useful in the further assessment of hygiene management systems (HMS) at abattoir in South Africa.

The antimicrobial resistance data on veterinary non-used drugs suggest the need for intensified research on antibiotic stewardship in public health institutions in the country. Hence this data will be useful in tracking antibiotic use by humans.

The obtained data can assist in foodborne disease epidemiology and in preventing foodborne diseases caused by resistant Salmonella enterica.

  2 in total

1.  Multidrug-Resistant Salmonella Isolates from Swine in the Eastern Cape Province, South Africa.

Authors:  Chinwe Juliana Iwu; Benson Chuks Iweriebor; Larry Chikwelu Obi; Albertus Kotze Basson; Anthony Ifeanyi Okoh
Journal:  J Food Prot       Date:  2016-07       Impact factor: 2.077

2.  Molecular characterisation of antibiotic-resistant Salmonella enterica isolates recovered from meat in South Africa.

Authors:  Ishmael Festus Jaja; Nolwazi Londiwe Bhembe; Ezekiel Green; James Oguttu; Voster Muchenje
Journal:  Acta Trop       Date:  2018-11-05       Impact factor: 3.112

  2 in total

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