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Food metagenome

ABSTRACT: Foodborne pathogens

PROVIDER: PRJNA702896 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
	SRR13827100_1.fastq.gz	Fastqsanger.gz
	SRR13827100_2.fastq.gz	Fastqsanger.gz
	SRR13871550_1.fastq.gz	Fastqsanger.gz
	SRR13871550_2.fastq.gz	Fastqsanger.gz
	SRR13871551_1.fastq.gz	Fastqsanger.gz

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Project description:Early detection of spoilage microorganisms and food pathogens is of major importance in preventing food recalls and foodborne outbreaks. Although constant effort is invested in developing sensitive methods for rapid microbial detection, none of the current methods enables the detection of food pathogens within a few hours; therefore, development of innovative early-warning food-testing strategies are needed. Herein, we assessed a novel strategy that harnesses the microbiome signature of a food product to determine deviations in the abundance of particular community members and detect production defects. Employing the production process of barbecued (BarBQ) pastrami as a model, we characterized the microbiome profiles of the product along the production line using next-generation sequencing of the 16S rRNA gene, concentrating on the live microbiota. Following the establishment of a microbiome dataset representing a properly produced product, we were able to identify shifts in the microbiome profile of a defective batch produced under potassium lactate deficiency. With the identification of Vibrio and Lactobacillus as potential indicator bacteria for potassium lactate deficiency, rapid qPCR assays were designed for their quantification. Aligned with the microbiome profiling results, these qPCR assays were effective for rapid identification of a defective production event. This implies the use of rapid quantification targeting microbiome profile-derived indicator bacteria for in-house detection of defective batches and identification of food-safety and quality events with results obtained on the same day. The suggested strategy should pave the way toward safer and more efficient food-production systems.

2024-08-27 | GSE255249 | GEO

Project description:Whole Genome Sequencing of Foodborne Pathogens

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