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Next generation sequencing-based multigene panel for high throughput detection of food-borne pathogens.
Ferrario, Chiara; Lugli, Gabriele Andrea; Ossiprandi, Maria Cristina; Turroni, Francesca; Milani, Christian; Duranti, Sabrina; Mancabelli, Leonardo; Mangifesta, Marta; Alessandri, Giulia; van Sinderen, Douwe; Ventura, Marco.
Affiliation
  • Ferrario C; Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy.
  • Lugli GA; Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy.
  • Ossiprandi MC; Department of Medical-Veterinary Science, University of Parma, Parma, Italy.
  • Turroni F; Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy.
  • Milani C; Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy.
  • Duranti S; Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy.
  • Mancabelli L; Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy.
  • Mangifesta M; GenProbio srl, Parma, Italy.
  • Alessandri G; Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy.
  • van Sinderen D; APC Microbiome Institute, School of Microbiology, Bioscience Institute, National University of Ireland, Cork, Ireland.
  • Ventura M; Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy. Electronic address: marco.ventura@unipr.it.
Int J Food Microbiol ; 256: 20-29, 2017 Sep 01.
Article in En | MEDLINE | ID: mdl-28578266
ABSTRACT
Contamination of food by chemicals or pathogenic bacteria may cause particular illnesses that are linked to food consumption, commonly referred to as foodborne diseases. Bacteria are present in/on various foods products, such as fruits, vegetables and ready-to-eat products. Bacteria that cause foodborne diseases are known as foodborne pathogens (FBPs). Accurate detection methods that are able to reveal the presence of FBPs in food matrices are in constant demand, in order to ensure safe foods with a minimal risk of causing foodborne diseases. Here, a multiplex PCR-based Illumina sequencing method for FBP detection in food matrices was developed. Starting from 25 bacterial targets and 49 selected PCR primer pairs, a primer collection called foodborne pathogen - panel (FPP) consisting of 12 oligonucleotide pairs was developed. The FPP allows a more rapid and reliable identification of FBPs compared to classical cultivation methods. Furthermore, FPP permits sensitive and specific FBP detection in about two days from food sample acquisition to bioinformatics-based identification. The FPP is able to simultaneously identify eight different bacterial pathogens, i.e. Listeria monocytogenes, Campylobacter jejuni, Campylobacter coli, Salmonella enterica subsp. enterica serovar enteritidis, Escherichia coli, Shigella sonnei, Staphylococcus aureus and Yersinia enterocolitica, in a given food matrix at a threshold contamination level of 101cell/g. Moreover, this novel detection method may represent an alternative and/or a complementary approach to PCR-based techniques, which are routinely used for FBP detection, and could be implemented in (parts of) the food chain as a quality check.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Food Contamination / High-Throughput Nucleotide Sequencing / Multiplex Polymerase Chain Reaction / Food Microbiology / Foodborne Diseases Type of study: Diagnostic_studies Language: En Journal: Int J Food Microbiol Journal subject: CIENCIAS DA NUTRICAO / MICROBIOLOGIA Year: 2017 Document type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Food Contamination / High-Throughput Nucleotide Sequencing / Multiplex Polymerase Chain Reaction / Food Microbiology / Foodborne Diseases Type of study: Diagnostic_studies Language: En Journal: Int J Food Microbiol Journal subject: CIENCIAS DA NUTRICAO / MICROBIOLOGIA Year: 2017 Document type: Article Affiliation country: Italy