Literature DB >> 29196295

Quasimetagenomics-Based and Real-Time-Sequencing-Aided Detection and Subtyping of Salmonella enterica from Food Samples.

Ji-Yeon Hyeon1, Shaoting Li1, David A Mann1, Shaokang Zhang1, Zhen Li2, Yi Chen3, Xiangyu Deng4.   

Abstract

Metagenomics analysis of food samples promises isolation-independent detection and subtyping of foodborne bacterial pathogens in a single workflow. The selective concentration of Salmonella genomic DNA by immunomagnetic separation (IMS) and multiple displacement amplification (MDA) shortened the time for culture enrichment of Salmonella-spiked raw chicken breast samples by over 12 h while permitting serotyping and high-fidelity single nucleotide polymorphism (SNP) typing of the pathogen using short shotgun sequencing reads. The herein-termed quasimetagenomics approach was evaluated on Salmonella-spiked lettuce and black peppercorn samples as well as retail chicken parts naturally contaminated with different serotypes of Salmonella Culture enrichment of between 8 and 24 h was required for detecting and subtyping naturally occurring Salmonella from unspiked chicken parts compared with 4- to 12-h culture enrichment when Salmonella-spiked food samples were analyzed, indicating the likely need for longer culture enrichment to revive low levels of stressed or injured Salmonella cells in food. A further acceleration of the workflow was achieved by real-time nanopore sequencing. After 1.5 h of analysis on a potable sequencer, sufficient data were generated from sequencing the IMS-MDA products of a cultured-enriched lettuce sample to enable serotyping and robust phylogenetic placement of the inoculated isolate.IMPORTANCE Both culture enrichment and next-generation sequencing remain time-consuming processes for food testing, whereas rapid methods for pathogen detection are widely available. Our study demonstrated a substantial acceleration of these processes by the use of immunomagnetic separation (IMS) with multiple displacement amplification (MDA) and real-time nanopore sequencing. In one example, the combined use of the two methods delivered a less than 24-h turnaround time from the collection of a Salmonella-contaminated lettuce sample to the phylogenetic identification of the pathogen. An improved efficiency such as this is important for further expanding the use of whole-genome and metagenomics sequencing in the microbial analysis of food. Our results suggest the potential of the quasimetagenomics approach in areas where rapid detection and subtyping of foodborne pathogens are important, such as for foodborne outbreak response and the precision tracking and monitoring of foodborne pathogens in production environments and supply chains.
Copyright © 2018 American Society for Microbiology.

Entities:  

Keywords:  MinION; Salmonella; detection; metagenomics; subtyping

Mesh:

Year:  2018        PMID: 29196295      PMCID: PMC5795075          DOI: 10.1128/AEM.02340-17

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  33 in total

1.  The effect of pre-enrichment protocol on the sensitivity and specificity of PCR for detection of naturally contaminated Salmonella in raw poultry compared to conventional culture.

Authors:  M S Myint; Y J Johnson; N L Tablante; R A Heckert
Journal:  Food Microbiol       Date:  2005-11-08       Impact factor: 5.516

2.  Salmonella serotype determination utilizing high-throughput genome sequencing data.

Authors:  Shaokang Zhang; Yanlong Yin; Marcus B Jones; Zhenzhen Zhang; Brooke L Deatherage Kaiser; Blake A Dinsmore; Collette Fitzgerald; Patricia I Fields; Xiangyu Deng
Journal:  J Clin Microbiol       Date:  2015-03-11       Impact factor: 5.948

3.  Comparative analysis of subtyping methods against a whole-genome-sequencing standard for Salmonella enterica serotype Enteritidis.

Authors:  Xiangyu Deng; Nikki Shariat; Elizabeth M Driebe; Chandler C Roe; Beth Tolar; Eija Trees; Paul Keim; Wei Zhang; Edward G Dudley; Patricia I Fields; David M Engelthaler
Journal:  J Clin Microbiol       Date:  2014-11-05       Impact factor: 5.948

4.  Characterization of Foodborne Outbreaks of Salmonella enterica Serovar Enteritidis with Whole-Genome Sequencing Single Nucleotide Polymorphism-Based Analysis for Surveillance and Outbreak Detection.

Authors:  Angela J Taylor; Victoria Lappi; William J Wolfgang; Pascal Lapierre; Michael J Palumbo; Carlota Medus; David Boxrud
Journal:  J Clin Microbiol       Date:  2015-08-12       Impact factor: 5.948

5.  Whole-Genome Sequencing for Detecting Antimicrobial Resistance in Nontyphoidal Salmonella.

Authors:  Patrick F McDermott; Gregory H Tyson; Claudine Kabera; Yuansha Chen; Cong Li; Jason P Folster; Sherry L Ayers; Claudia Lam; Heather P Tate; Shaohua Zhao
Journal:  Antimicrob Agents Chemother       Date:  2016-08-22       Impact factor: 5.191

6.  Prospective use of whole genome sequencing (WGS) detected a multi-country outbreak of Salmonella Enteritidis.

Authors:  T Inns; P M Ashton; S Herrera-Leon; J Lighthill; S Foulkes; T Jombart; Y Rehman; A Fox; T Dallman; E DE Pinna; L Browning; J E Coia; O Edeghere; R Vivancos
Journal:  Epidemiol Infect       Date:  2016-10-26       Impact factor: 4.434

7.  Genomic epidemiology of Salmonella enterica serotype Enteritidis based on population structure of prevalent lineages.

Authors:  Xiangyu Deng; Prerak T Desai; Henk C den Bakker; Matthew Mikoleit; Beth Tolar; Eija Trees; Rene S Hendriksen; Jonathan G Frye; Steffen Porwollik; Bart C Weimer; Martin Wiedmann; George M Weinstock; Patricia I Fields; Michael McClelland
Journal:  Emerg Infect Dis       Date:  2014-09       Impact factor: 6.883

8.  Early Recovery of Salmonella from Food Using a 6-Hour Non-selective Pre-enrichment and Reformulation of Tetrathionate Broth.

Authors:  Ninalynn Daquigan; Christopher J Grim; James R White; Darcy E Hanes; Karen G Jarvis
Journal:  Front Microbiol       Date:  2016-12-27       Impact factor: 5.640

9.  Whole genome amplification and de novo assembly of single bacterial cells.

Authors:  Sébastien Rodrigue; Rex R Malmstrom; Aaron M Berlin; Bruce W Birren; Matthew R Henn; Sallie W Chisholm
Journal:  PLoS One       Date:  2009-09-02       Impact factor: 3.240

10.  Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis.

Authors:  Alexander L Greninger; Samia N Naccache; Scot Federman; Guixia Yu; Placide Mbala; Vanessa Bres; Doug Stryke; Jerome Bouquet; Sneha Somasekar; Jeffrey M Linnen; Roger Dodd; Prime Mulembakani; Bradley S Schneider; Jean-Jacques Muyembe-Tamfum; Susan L Stramer; Charles Y Chiu
Journal:  Genome Med       Date:  2015-09-29       Impact factor: 11.117

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  15 in total

1.  Salmonella enterica and Escherichia coli in Wheat Flour: Detection and Serotyping by a Quasimetagenomic Approach Assisted by Magnetic Capture, Multiple-Displacement Amplification, and Real-Time Sequencing.

Authors:  Fereidoun Forghani; Shaoting Li; Shaokang Zhang; David A Mann; Xiangyu Deng; Henk C den Bakker; Francisco Diez-Gonzalez
Journal:  Appl Environ Microbiol       Date:  2020-06-17       Impact factor: 4.792

2.  Quasi-metagenomic Analysis of Salmonella from Food and Environmental Samples.

Authors:  Ji-Yeon Hyeon; David A Mann; Anna M Townsend; Xiangyu Deng
Journal:  J Vis Exp       Date:  2018-10-25       Impact factor: 1.355

3.  SeqSero2: Rapid and Improved Salmonella Serotype Determination Using Whole-Genome Sequencing Data.

Authors:  Shaokang Zhang; Hendrik C den Bakker; Shaoting Li; Jessica Chen; Blake A Dinsmore; Charlotte Lane; A C Lauer; Patricia I Fields; Xiangyu Deng
Journal:  Appl Environ Microbiol       Date:  2019-11-14       Impact factor: 4.792

4.  Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak.

Authors:  Florence E Buytaers; Assia Saltykova; Wesley Mattheus; Bavo Verhaegen; Nancy H C Roosens; Kevin Vanneste; Valeska Laisnez; Naïma Hammami; Brigitte Pochet; Vera Cantaert; Kathleen Marchal; Sarah Denayer; Sigrid C J De Keersmaecker
Journal:  Microb Genom       Date:  2021-04

Review 5.  The Present and Future of Whole Genome Sequencing (WGS) and Whole Metagenome Sequencing (WMS) for Surveillance of Antimicrobial Resistant Microorganisms and Antimicrobial Resistance Genes across the Food Chain.

Authors:  Elena A Oniciuc; Eleni Likotrafiti; Adrián Alvarez-Molina; Miguel Prieto; Jesús A Santos; Avelino Alvarez-Ordóñez
Journal:  Genes (Basel)       Date:  2018-05-22       Impact factor: 4.096

6.  Precision Food Safety: a Paradigm Shift in Detection and Control of Foodborne Pathogens.

Authors:  Jasna Kovac
Journal:  mSystems       Date:  2019-06-11       Impact factor: 6.496

7.  NanoARG: a web service for detecting and contextualizing antimicrobial resistance genes from nanopore-derived metagenomes.

Authors:  G A Arango-Argoty; D Dai; A Pruden; P Vikesland; L S Heath; L Zhang
Journal:  Microbiome       Date:  2019-06-07       Impact factor: 14.650

8.  Metagenomic Approaches for Public Health Surveillance of Foodborne Infections: Opportunities and Challenges.

Authors:  Heather A Carleton; John Besser; Amanda J Williams-Newkirk; Andrew Huang; Eija Trees; Peter Gerner-Smidt
Journal:  Foodborne Pathog Dis       Date:  2019-06-06       Impact factor: 3.171

9.  Direct Metatranscriptome RNA-seq and Multiplex RT-PCR Amplicon Sequencing on Nanopore MinION - Promising Strategies for Multiplex Identification of Viable Pathogens in Food.

Authors:  Manyun Yang; Alyssa Cousineau; Xiaobo Liu; Yaguang Luo; Daniel Sun; Shaohua Li; Tingting Gu; Luo Sun; Hayden Dillow; Jack Lepine; Mingqun Xu; Boce Zhang
Journal:  Front Microbiol       Date:  2020-04-09       Impact factor: 5.640

10.  A New Whole Genome Culture-Independent Diagnostic Test (WG-CIDT) for Rapid Detection of Salmonella in Lettuce.

Authors:  Dele Ogunremi; Andrée Ann Dupras; Sohail Naushad; Ruimin Gao; Marc-Olivier Duceppe; Katayoun Omidi; Imelda Galván Márquez; Hongsheng Huang; Lawrence Goodridge; Roger C Lévesque; Nur A Hasan; Manoj Dadlani; Brent Dixon; Sebastian Magierowski; Luke Masson
Journal:  Front Microbiol       Date:  2020-04-17       Impact factor: 5.640

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