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Characterization of Mobile Genetic Elements Using Long-Read Sequencing for Tracking from Food Processing Environments. | LitMetric

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

Pathogens

Division of Microbiology, Office of Regulatory Science, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, MD 20740, USA.

Published: October 2020

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 () 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 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 . The analyses identified four prophages in 11 non-outbreak isolates from four facilities and three 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 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 ECII isolates was estimated to be in March 1816 with the average nucleotide substitution rate of 3.1 × 10 substitutions per site per year. This study showed that complete MGE sequences provide a good signal to determine the genetic relatedness of isolates, to identify persistence or repeated contamination that occurred within food processing environment, and to study the evolutionary history among closely related isolates.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599586PMC
http://dx.doi.org/10.3390/pathogens9100822DOI Listing

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