4.6 Article

Microbial Communities of Meat and Meat Products: An Exploratory Analysis of the Product Quality and Safety at Selected Enterprises in South Africa

期刊

MICROORGANISMS
卷 9, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/microorganisms9030507

关键词

pathogens; one health; food safety; biosecurity; meat value chain; culture dependent techniques; culture-independent techniques; metagenomics

资金

  1. Department of Agriculture, Land Reform and Rural Development (DALRRD) [21.1.1/VPH-01/OVI, 21.1.1/VPH-02/OVI]

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The study aimed to determine microbial diversity in meat and meat products from different enterprises and meat types in South Africa. Results revealed diverse and highly variable microbial communities in animal products, which is crucial for food safety.
Consumption of food that is contaminated by microorganisms, chemicals, and toxins may lead to significant morbidity and mortality, which has negative socioeconomic and public health implications. Monitoring and surveillance of microbial diversity along the food value chain is a key component for hazard identification and evaluation of potential pathogen risks from farm to the consumer. The aim of this study was to determine the microbial diversity in meat and meat products from different enterprises and meat types in South Africa. Samples (n = 2017) were analyzed for Yersinia enterocolitica, Salmonella species, Listeria monocytogenes, Campylobacter jejuni, Campylobacter coli, Staphylococcus aureus, Clostridium perfringens, Bacillus cereus, and Clostridium botulinum using culture-based methods. PCR was used for confirmation of selected pathogens. Of the 2017 samples analyzed, microbial ecology was assessed for selected subsamples where next generation sequencing had been conducted, followed by the application of computational methods to reconstruct individual genomes from the respective sample (metagenomics). With the exception of Clostridium botulinum, selective culture-dependent methods revealed that samples were contaminated with at least one of the tested foodborne pathogens. The data from metagenomics analysis revealed the presence of diverse bacteria, viruses, and fungi. The analyses provide evidence of diverse and highly variable microbial communities in products of animal origin, which is important for food safety, food labeling, biosecurity, and shelf life limiting spoilage by microorganisms.

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