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Series GSE255249 Query DataSets for GSE255249
Status Public on Aug 27, 2024
Title Early detection of food safety and spoilage incidents based on live microbiome profiling and qPCR-based monitoring of indicators
Organism food metagenome
Experiment type Other
Summary 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.
 
Overall design Samples of 16S V3 and V4 region DNA from pastrami production process were sequenced using the Illumina MiSeq platform
 
Contributor(s) Cohen Hakmon M, Buhnik-Rosenblau K, Hanani H, Korach-Rechtmana H, Mor D, Etkin E, Kashi Y
Citation(s) 39123650
Submission date Feb 07, 2024
Last update date Aug 27, 2024
Contact name May Cohen Hakmon
Organization name Technion
Street address Shikago
City Haifa
ZIP/Postal code 3200005
Country Israel
 
Platforms (1)
GPL34170 Illumina MiSeq (food metagenome)
Samples (145)
GSM8067418 BarBQ pastrami, batch A, rep 1
GSM8067419 BarBQ pastrami, batch A, rep 2
GSM8067420 BarBQ pastrami, batch A, rep 3
Relations
BioProject PRJNA1074259

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE255249_figure_1_quantified_microorganisms.csv.gz 31.3 Kb (ftp)(http) CSV
GSE255249_figure_2_quantified_microorganisms.csv.gz 14.1 Kb (ftp)(http) CSV
GSE255249_figure_3_quantified_microorganisms.csv.gz 28.5 Kb (ftp)(http) CSV
GSE255249_processed.tar.gz 8.9 Mb (ftp)(http) TAR
GSE255249_supplametary_quantified_microorganisms.csv.gz 9.2 Kb (ftp)(http) CSV
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Raw data are available in SRA

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