Towards Real-Time and Affordable Strain-Level Metagenomics-Based Foodborne Outbreak Investigations Using Oxford Nanopore Sequencing Technologies

The current routine laboratory practices to investigate food samples in case of foodborne outbreaks still rely on attempts to isolate the pathogen in order to characterize it. We present in this study a proof of concept using Shiga toxin-producing Escherichia coli spiked food samples for a strain-le...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Florence E. Buytaers, Assia Saltykova, Sarah Denayer, Bavo Verhaegen, Kevin Vanneste, Nancy H. C. Roosens, Denis Piérard, Kathleen Marchal, Sigrid C. J. De Keersmaecker
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://doaj.org/article/22e9e819288c42708a17b0f8043a6160
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:22e9e819288c42708a17b0f8043a6160
record_format dspace
spelling oai:doaj.org-article:22e9e819288c42708a17b0f8043a61602021-11-05T14:48:52ZTowards Real-Time and Affordable Strain-Level Metagenomics-Based Foodborne Outbreak Investigations Using Oxford Nanopore Sequencing Technologies1664-302X10.3389/fmicb.2021.738284https://doaj.org/article/22e9e819288c42708a17b0f8043a61602021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmicb.2021.738284/fullhttps://doaj.org/toc/1664-302XThe current routine laboratory practices to investigate food samples in case of foodborne outbreaks still rely on attempts to isolate the pathogen in order to characterize it. We present in this study a proof of concept using Shiga toxin-producing Escherichia coli spiked food samples for a strain-level metagenomics foodborne outbreak investigation method using the MinION and Flongle flow cells from Oxford Nanopore Technologies, and we compared this to Illumina short-read-based metagenomics. After 12 h of MinION sequencing, strain-level characterization could be achieved, linking the food containing a pathogen to the related human isolate of the affected patient, by means of a single-nucleotide polymorphism (SNP)-based phylogeny. The inferred strain harbored the same virulence genes as the spiked isolate and could be serotyped. This was achieved by applying a bioinformatics method on the long reads using reference-based classification. The same result could be obtained after 24-h sequencing on the more recent lower output Flongle flow cell, on an extract treated with eukaryotic host DNA removal. Moreover, an alternative approach based on in silico DNA walking allowed to obtain rapid confirmation of the presence of a putative pathogen in the food sample. The DNA fragment harboring characteristic virulence genes could be matched to the E. coli genus after sequencing only 1 h with the MinION, 1 h with the Flongle if using a host DNA removal extraction, or 5 h with the Flongle with a classical DNA extraction. This paves the way towards the use of metagenomics as a rapid, simple, one-step method for foodborne pathogen detection and for fast outbreak investigation that can be implemented in routine laboratories on samples prepared with the current standard practices.Florence E. BuytaersFlorence E. BuytaersAssia SaltykovaAssia SaltykovaSarah DenayerBavo VerhaegenKevin VannesteNancy H. C. RoosensDenis PiérardKathleen MarchalKathleen MarchalSigrid C. J. De KeersmaeckerFrontiers Media S.A.articlemetagenomicsnanoporeFlonglestrain-leveloutbreakfood surveillanceMicrobiologyQR1-502ENFrontiers in Microbiology, Vol 12 (2021)
institution DOAJ
collection DOAJ
language EN
topic metagenomics
nanopore
Flongle
strain-level
outbreak
food surveillance
Microbiology
QR1-502
spellingShingle metagenomics
nanopore
Flongle
strain-level
outbreak
food surveillance
Microbiology
QR1-502
Florence E. Buytaers
Florence E. Buytaers
Assia Saltykova
Assia Saltykova
Sarah Denayer
Bavo Verhaegen
Kevin Vanneste
Nancy H. C. Roosens
Denis Piérard
Kathleen Marchal
Kathleen Marchal
Sigrid C. J. De Keersmaecker
Towards Real-Time and Affordable Strain-Level Metagenomics-Based Foodborne Outbreak Investigations Using Oxford Nanopore Sequencing Technologies
description The current routine laboratory practices to investigate food samples in case of foodborne outbreaks still rely on attempts to isolate the pathogen in order to characterize it. We present in this study a proof of concept using Shiga toxin-producing Escherichia coli spiked food samples for a strain-level metagenomics foodborne outbreak investigation method using the MinION and Flongle flow cells from Oxford Nanopore Technologies, and we compared this to Illumina short-read-based metagenomics. After 12 h of MinION sequencing, strain-level characterization could be achieved, linking the food containing a pathogen to the related human isolate of the affected patient, by means of a single-nucleotide polymorphism (SNP)-based phylogeny. The inferred strain harbored the same virulence genes as the spiked isolate and could be serotyped. This was achieved by applying a bioinformatics method on the long reads using reference-based classification. The same result could be obtained after 24-h sequencing on the more recent lower output Flongle flow cell, on an extract treated with eukaryotic host DNA removal. Moreover, an alternative approach based on in silico DNA walking allowed to obtain rapid confirmation of the presence of a putative pathogen in the food sample. The DNA fragment harboring characteristic virulence genes could be matched to the E. coli genus after sequencing only 1 h with the MinION, 1 h with the Flongle if using a host DNA removal extraction, or 5 h with the Flongle with a classical DNA extraction. This paves the way towards the use of metagenomics as a rapid, simple, one-step method for foodborne pathogen detection and for fast outbreak investigation that can be implemented in routine laboratories on samples prepared with the current standard practices.
format article
author Florence E. Buytaers
Florence E. Buytaers
Assia Saltykova
Assia Saltykova
Sarah Denayer
Bavo Verhaegen
Kevin Vanneste
Nancy H. C. Roosens
Denis Piérard
Kathleen Marchal
Kathleen Marchal
Sigrid C. J. De Keersmaecker
author_facet Florence E. Buytaers
Florence E. Buytaers
Assia Saltykova
Assia Saltykova
Sarah Denayer
Bavo Verhaegen
Kevin Vanneste
Nancy H. C. Roosens
Denis Piérard
Kathleen Marchal
Kathleen Marchal
Sigrid C. J. De Keersmaecker
author_sort Florence E. Buytaers
title Towards Real-Time and Affordable Strain-Level Metagenomics-Based Foodborne Outbreak Investigations Using Oxford Nanopore Sequencing Technologies
title_short Towards Real-Time and Affordable Strain-Level Metagenomics-Based Foodborne Outbreak Investigations Using Oxford Nanopore Sequencing Technologies
title_full Towards Real-Time and Affordable Strain-Level Metagenomics-Based Foodborne Outbreak Investigations Using Oxford Nanopore Sequencing Technologies
title_fullStr Towards Real-Time and Affordable Strain-Level Metagenomics-Based Foodborne Outbreak Investigations Using Oxford Nanopore Sequencing Technologies
title_full_unstemmed Towards Real-Time and Affordable Strain-Level Metagenomics-Based Foodborne Outbreak Investigations Using Oxford Nanopore Sequencing Technologies
title_sort towards real-time and affordable strain-level metagenomics-based foodborne outbreak investigations using oxford nanopore sequencing technologies
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/22e9e819288c42708a17b0f8043a6160
work_keys_str_mv AT florenceebuytaers towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
AT florenceebuytaers towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
AT assiasaltykova towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
AT assiasaltykova towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
AT sarahdenayer towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
AT bavoverhaegen towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
AT kevinvanneste towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
AT nancyhcroosens towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
AT denispierard towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
AT kathleenmarchal towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
AT kathleenmarchal towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
AT sigridcjdekeersmaecker towardsrealtimeandaffordablestrainlevelmetagenomicsbasedfoodborneoutbreakinvestigationsusingoxfordnanoporesequencingtechnologies
_version_ 1718444214517235712