ArticlePloS one2017
Assessing the genome level diversity of Listeria monocytogenes from contaminated ice cream and environmental samples linked to a listeriosis outbreak in the United States.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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38 citing papers in PubMed, 87 citations in OpenAlex.
- Article
- Persistence of microbiological hazards in food and feed production and processing environments.EFSA journal. European Food Safety Authority · 2024Article
- Assessment of the influence of selected stress factors on the growth and survival of Listeria monocytogenes.BMC microbiology · 2023Article
- Genomic and pathogenicity islands ofFrontiers in molecular biosciences · 2023Review
- Article
- A Whole Genome Sequencing-Based Epidemiological Investigation of a Pregnancy-Related Invasive Listeriosis Case in Central Italy.Pathogens (Basel, Switzerland) · 2022Article
- Whole-Genome Sequencing Reveals Multiple Subpopulations of Dominant and Persistent Lineage I Isolates ofMicroorganisms · 2022Article
- Antimicrobial Susceptibility Profile and Whole-Genome Analysis of a Strong Biofilm-FormingMicroorganisms · 2022Article
- Atypical Serogroup IVb-v1 ofFrontiers in microbiology · 2022Article
- Genome Typing and Epidemiology of Human Listeriosis in New Zealand, 1999 to 2018.Journal of clinical microbiology · 2021Article
- Genomic Analysis of Prophages Recovered fromMicroorganisms · 2021Article
- Evaluating the accuracy of Listeria monocytogenes assemblies from quasimetagenomic samples using long and short reads.BMC genomics · 2021Article
- Hyper-VirulentFrontiers in cellular and infection microbiology · 2021Article
- Genetic Diversity ofFrontiers in microbiology · 2021Article
- Translatability of WGS typing results can simplify data exchange for surveillance and control ofMicrobial genomics · 2021Article
- In-Depth Longitudinal Study of Listeria monocytogenes ST9 Isolates from the Meat Processing Industry: Resolving Diversity and Transmission Patterns Using Whole-Genome Sequencing.Applied and environmental microbiology · 2020Article
- Evolution of Listeria monocytogenes in a Food Processing Plant Involves Limited Single-Nucleotide Substitutions but Considerable Diversification by Gain and Loss of Prophages.Applied and environmental microbiology · 2020Article
- Quasimetagenomic source tracking of Listeria monocytogenes from naturally contaminated ice cream.BMC infectious diseases · 2020Article
- Heterogeneity, Characteristics, and Public Health Implications ofFrontiers in microbiology · 2020Article
- Microevolution and Gain or Loss of Mobile Genetic Elements of Outbreak-RelatedFrontiers in microbiology · 2020Article
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A listeriosis outbreak in the United States implicated contaminated ice cream produced by one company, which operated 3 facilities. We performed single nucleotide polymorphism (SNP)-based whole genome sequencing (WGS) analysis on Listeria monocytogenes from food, environmental and clinical sources, identifying two clusters and a single branch, belonging to PCR serogroup IIb and genetic lineage I. WGS Cluster I, representing one outbreak strain, contained 82 food and environmental isolates from Facility I and 4 clinical isolates. These isolates differed by up to 29 SNPs, exhibited 9 pulsed-field gel electrophoresis (PFGE) profiles and multilocus sequence typing (MLST) sequence type (ST) 5 of clonal complex 5 (CC5). WGS Cluster II contained 51 food and environmental isolates from Facility II, 4 food isolates from Facility I and 5 clinical isolates. Among them the isolates from Facility II and clinical isolates formed a clade and represented another outbreak strain. Isolates in this clade differed by up to 29 SNPs, exhibited 3 PFGE profiles and ST5. The only isolate collected from Facility III belonged to singleton ST489, which was in a single branch separate from Clusters I and II, and was not associated with the outbreak. WGS analyses clustered together outbreak-associated isolates exhibiting multiple PFGE profiles, while differentiating them from epidemiologically unrelated isolates that exhibited outbreak PFGE profiles. The complete genome of a Cluster I isolate allowed the identification and analyses of putative prophages, revealing that Cluster I isolates differed by the gain or loss of three putative prophages, causing the banding pattern differences among all 3 AscI-PFGE profiles observed in Cluster I isolates. WGS data suggested that certain ice cream varieties and/or production lines might have contamination sources unique to them. The SNP-based analysis was able to distinguish CC5 as a group from non-CC5 isolates and differentiate among CC5 isolates from different outbreaks/incidents.
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