Cargando…

Characterization of Mobile Genetic Elements Using Long-Read Sequencing for Tracking Listeria monocytogenes from Food Processing Environments

Recently developed nanopore sequencing technologies offer a unique opportunity to rapidly close the genome and to identify complete sequences of mobile genetic elements (MGEs). In this study, 17 isolates of Listeria monocytogenes (Lm) epidemic clone II (ECII) from seven ready-to-eat meat or poultry...

Descripción completa

Detalles Bibliográficos
Autores principales: Kwon, Hee Jin, Chen, Zhao, Evans, Peter, Meng, Jianghong, Chen, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599586/
https://www.ncbi.nlm.nih.gov/pubmed/33036450
http://dx.doi.org/10.3390/pathogens9100822
_version_ 1783602911771623424
author Kwon, Hee Jin
Chen, Zhao
Evans, Peter
Meng, Jianghong
Chen, Yi
author_facet Kwon, Hee Jin
Chen, Zhao
Evans, Peter
Meng, Jianghong
Chen, Yi
author_sort Kwon, Hee Jin
collection PubMed
description Recently developed nanopore sequencing technologies offer a unique opportunity to rapidly close the genome and to identify complete sequences of mobile genetic elements (MGEs). In this study, 17 isolates of Listeria monocytogenes (Lm) epidemic clone II (ECII) from seven ready-to-eat meat or poultry processing facilities, not known to be associated with outbreaks, were shotgun sequenced, and among them, five isolates were further subjected to long-read sequencing. Additionally, 26 genomes of Lm ECII isolates associated with three listeriosis outbreaks in the U.S. and South Africa were obtained from the National Center for Biotechnology Information (NCBI) database and analyzed to evaluate if MGEs may be used as a high-resolution genetic marker for identifying and sourcing the origin of Lm. The analyses identified four comK prophages in 11 non-outbreak isolates from four facilities and three comK prophages in 20 isolates associated with two outbreaks that occurred in the U.S. In addition, three different plasmids were identified among 10 non-outbreak isolates and 14 outbreak isolates. Each comK prophage and plasmid was conserved among the isolates sharing it. Different prophages from different facilities or outbreaks had significant genetic variations, possibly due to horizontal gene transfer. Phylogenetic analysis showed that isolates from the same facility or the same outbreak always closely clustered. The time of most recent common ancestor of the Lm ECII isolates was estimated to be in March 1816 with the average nucleotide substitution rate of 3.1 × 10(−7) substitutions per site per year. This study showed that complete MGE sequences provide a good signal to determine the genetic relatedness of Lm isolates, to identify persistence or repeated contamination that occurred within food processing environment, and to study the evolutionary history among closely related isolates.
format Online
Article
Text
id pubmed-7599586
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75995862020-11-01 Characterization of Mobile Genetic Elements Using Long-Read Sequencing for Tracking Listeria monocytogenes from Food Processing Environments Kwon, Hee Jin Chen, Zhao Evans, Peter Meng, Jianghong Chen, Yi Pathogens Article Recently developed nanopore sequencing technologies offer a unique opportunity to rapidly close the genome and to identify complete sequences of mobile genetic elements (MGEs). In this study, 17 isolates of Listeria monocytogenes (Lm) epidemic clone II (ECII) from seven ready-to-eat meat or poultry processing facilities, not known to be associated with outbreaks, were shotgun sequenced, and among them, five isolates were further subjected to long-read sequencing. Additionally, 26 genomes of Lm ECII isolates associated with three listeriosis outbreaks in the U.S. and South Africa were obtained from the National Center for Biotechnology Information (NCBI) database and analyzed to evaluate if MGEs may be used as a high-resolution genetic marker for identifying and sourcing the origin of Lm. The analyses identified four comK prophages in 11 non-outbreak isolates from four facilities and three comK prophages in 20 isolates associated with two outbreaks that occurred in the U.S. In addition, three different plasmids were identified among 10 non-outbreak isolates and 14 outbreak isolates. Each comK prophage and plasmid was conserved among the isolates sharing it. Different prophages from different facilities or outbreaks had significant genetic variations, possibly due to horizontal gene transfer. Phylogenetic analysis showed that isolates from the same facility or the same outbreak always closely clustered. The time of most recent common ancestor of the Lm ECII isolates was estimated to be in March 1816 with the average nucleotide substitution rate of 3.1 × 10(−7) substitutions per site per year. This study showed that complete MGE sequences provide a good signal to determine the genetic relatedness of Lm isolates, to identify persistence or repeated contamination that occurred within food processing environment, and to study the evolutionary history among closely related isolates. MDPI 2020-10-07 /pmc/articles/PMC7599586/ /pubmed/33036450 http://dx.doi.org/10.3390/pathogens9100822 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kwon, Hee Jin
Chen, Zhao
Evans, Peter
Meng, Jianghong
Chen, Yi
Characterization of Mobile Genetic Elements Using Long-Read Sequencing for Tracking Listeria monocytogenes from Food Processing Environments
title Characterization of Mobile Genetic Elements Using Long-Read Sequencing for Tracking Listeria monocytogenes from Food Processing Environments
title_full Characterization of Mobile Genetic Elements Using Long-Read Sequencing for Tracking Listeria monocytogenes from Food Processing Environments
title_fullStr Characterization of Mobile Genetic Elements Using Long-Read Sequencing for Tracking Listeria monocytogenes from Food Processing Environments
title_full_unstemmed Characterization of Mobile Genetic Elements Using Long-Read Sequencing for Tracking Listeria monocytogenes from Food Processing Environments
title_short Characterization of Mobile Genetic Elements Using Long-Read Sequencing for Tracking Listeria monocytogenes from Food Processing Environments
title_sort characterization of mobile genetic elements using long-read sequencing for tracking listeria monocytogenes from food processing environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599586/
https://www.ncbi.nlm.nih.gov/pubmed/33036450
http://dx.doi.org/10.3390/pathogens9100822
work_keys_str_mv AT kwonheejin characterizationofmobilegeneticelementsusinglongreadsequencingfortrackinglisteriamonocytogenesfromfoodprocessingenvironments
AT chenzhao characterizationofmobilegeneticelementsusinglongreadsequencingfortrackinglisteriamonocytogenesfromfoodprocessingenvironments
AT evanspeter characterizationofmobilegeneticelementsusinglongreadsequencingfortrackinglisteriamonocytogenesfromfoodprocessingenvironments
AT mengjianghong characterizationofmobilegeneticelementsusinglongreadsequencingfortrackinglisteriamonocytogenesfromfoodprocessingenvironments
AT chenyi characterizationofmobilegeneticelementsusinglongreadsequencingfortrackinglisteriamonocytogenesfromfoodprocessingenvironments