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Quasi-metagenomic Analysis of <em>Salmonella</em> from Food and Environmental Samples
Author(s) -
JiYeon Hyeon,
David A. Mann,
Anna Townsend,
Xiangyu Deng
Publication year - 2018
Publication title -
journal of visualized experiments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.596
H-Index - 91
ISSN - 1940-087X
DOI - 10.3791/58612
Subject(s) - metagenomics , salmonella , salmonella enterica , biology , immunomagnetic separation , dna sequencing , multiple displacement amplification , microbiome , subtyping , genomic dna , dna extraction , computational biology , polymerase chain reaction , dna , microbiology and biotechnology , bacteria , genetics , gene , computer science , programming language
Quasi-metagenomics sequencing refers to the sequencing-based analysis of modified microbiomes of food and environmental samples. In this protocol, microbiome modification is designed to concentrate genomic DNA of a target foodborne pathogen contaminant to facilitate the detection and subtyping of the pathogen in a single workflow. Here, we explain and demonstrate the sample preparation steps for the quasi-metagenomics analysis of Salmonella enterica from representative food and environmental samples including alfalfa sprouts, ground black pepper, ground beef, chicken breast and environmental swabs. Samples are first subjected to the culture enrichment of Salmonella for a shortened and adjustable duration (4-24 h). Salmonella cells are then selectively captured from the enrichment culture by immunomagnetic separation (IMS). Finally, multiple displacement amplification (MDA) is performed to amplify DNA from IMS-captured cells. The DNA output of this protocol can be sequenced by high throughput sequencing platforms. An optional quantitative PCR analysis can be performed to replace sequencing for Salmonella detection or assess the concentration of Salmonella DNA before sequencing.

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