ArticleGenome medicine2024
High density genomic surveillance and risk profiling of clinical Listeria monocytogenes subtypes in Germany.
Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- AEmerging microbes & infections · 2026Article
- Complete circular genome sequences representing prevalent sub-lineages of clinicalMicrobiology resource announcements · 2026Article
- Animal listeriosis in Germany: An update for the current situation over 2 years (2024-2025) and the need for a surveillance system in the animal health sector.Veterinary research · 2026Article
- Whole Genome Sequence-Based Surveillance of Human ClinicalOpen forum infectious diseases · 2026Article
- Closed genome sequences of clinicalMicrobiology resource announcements · 2026Article
- Phage P100 resistance in clinical and foodborneCurrent research in microbial sciences · 2026Article
- Genomic analysis of Listeria monocytogenes diversity over a 10-year period in Uruguay.Scientific reports · 2025Article
- Retrospective Analysis of Historical Listeria monocytogenes Clinical Isolates, New York, USA, 2000-2021Emerging infectious diseases · 2025Review
- The striking incidence of animal listeriosis in Germany (2014-2024) indicates a persistent but neglected risk for One Health.Veterinary research · 2025Article
- Outbreak of listeriosis associated with consumption of deli meats in a hospital, Germany, February to March 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025Article
- Integrating Bacteriocins and Biofilm-Degrading Enzymes to EliminateInternational journal of molecular sciences · 2025Article
- Susceptibility profile of clinical and food-associatedFrontiers in microbiology · 2025Article
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8 authors.
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Abstract
backgroundFoodborne infections such as listeriosis caused by the bacterium Listeria monocytogenes represent a significant public health concern, particularly when outbreaks affect many individuals over prolonged time. Systematic collection of pathogen isolates from infected patients, whole genome sequencing (WGS) and phylogenetic analyses allow recognition and termination of outbreaks after source identification and risk profiling of abundant lineages.
methodsWe here present a multi-dimensional analysis of > 1800 genome sequences from clinical L. monocytogenes isolates collected in Germany between 2018 and 2021. Different WGS-based subtyping methods were used to determine the population structure with its main phylogenetic sublineages as well as for identification of disease clusters. Clinical frequencies of materno-foetal and brain infections and in vitro infection experiments were used for risk profiling of the most abundant sublineages. These sublineages and large disease clusters were further characterised in terms of their genetic and epidemiological properties.
resultsThe collected isolates covered 62% of all notified cases and belonged to 188 infection clusters. Forty-two percent of these clusters were active for > 12 months, 60% generated cases cross-regionally, including 11 multinational clusters. Thirty-seven percent of the clusters were caused by sequence type (ST) ST6, ST8 and ST1 clones. ST1 was identified as hyper- and ST8, ST14, ST29 as well as ST155 as hypovirulent, while ST6 had average virulence potential. Inactivating mutations were found in several virulence and house-keeping genes, particularly in hypovirulent STs.
conclusionsOur work presents an in-depth analysis of the genomic characteristics of L. monocytogenes isolates that cause disease in Germany. It supports prioritisation of disease clusters for epidemiological investigations and reinforces the need to analyse the mechanisms underlying hyper- and hypovirulence.
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