ArticleJournal of clinical microbiology2016
Prospective Whole-Genome Sequencing Enhances National Surveillance of Listeria monocytogenes.
Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
110 citing papers in PubMed, 235 citations in OpenAlex.
- Pathogen genome enrichment sequencing to support a city-wide Legionnaires' disease outbreak investigation.Microbial genomics · 2026Article
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- Genetic diversity of Listeria monocytogenes isolates in Colombia from 2010 until 2017 and comparison against the PulseNet regional surveillance networkBiomedica : revista del Instituto Nacional de Salud · 2026Article
- High acceptability of a national platform for public health genomic data sharing and surveillance in Australia: a mixed methods study.BMC global and public health · 2026Article
- Article
- Genomic analysis of Listeria monocytogenes diversity over a 10-year period in Uruguay.Scientific reports · 2025Article
- Communicable diseases genomics network: promoting and harmonising pathogen genomics implementation for public health in Australia.The Lancet regional health. Western Pacific · 2025Review
- Effects of Decentralized Sequencing on National Listeria monocytogenes Genomic Surveillance, Australia, 2016-2023.Emerging infectious diseases · 2025Article
- Population structure and gene flux ofMicrobial genomics · 2025Article
- Increasing polymyxin resistance in clinical carbapenem-resistant Klebsiella pneumoniae strains in China between 2000 and 2023.Communications medicine · 2025Article
- A Novel Sero-Specific-Gene Dependent Multiplex PCR Enhances the Discrimination of MajorJournal of microbiology and biotechnology · 2025Article
- Molecular Epidemiology of Type FChina CDC weekly · 2025Article
- Unraveling the Resistome, Virulome, and Pathogenicity ofInternational journal of microbiology · 2025Article
- Early detection and population dynamics ofFrontiers in microbiology · 2025Article
- Maternal-Fetal Listeriosis in China: Clinical and Genomic Characteristics From an ST8Infection and drug resistance · 2025Article
- Enhancing public health infectious disease response through the Australian Pathogen Genomics program (AusPathoGen): evaluation protocol.Frontiers in public health · 2025Article
- High density genomic surveillance and risk profiling of clinical Listeria monocytogenes subtypes in Germany.Genome medicine · 2024Article
- Whole Genome Sequence Analysis ofMicroorganisms · 2024Article
- Automating the Illumina DNA library preparation kit for whole genome sequencing applications on the flowbot ONE liquid handler robot.Scientific reports · 2024Article
- High performanceApplied and environmental microbiology · 2024Article
50 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whole-genome sequencing (WGS) has emerged as a powerful tool for comparing bacterial isolates in outbreak detection and investigation. Here we demonstrate that WGS performed prospectively for national epidemiologic surveillance of Listeria monocytogenes has the capacity to be superior to our current approaches using pulsed-field gel electrophoresis (PFGE), multilocus sequence typing (MLST), multilocus variable-number tandem-repeat analysis (MLVA), binary typing, and serotyping. Initially 423 L. monocytogenes isolates underwent WGS, and comparisons uncovered a diverse genetic population structure derived from three distinct lineages. MLST, binary typing, and serotyping results inferred in silico from the WGS data were highly concordant (>99%) with laboratory typing performed in parallel. However, WGS was able to identify distinct nested clusters within groups of isolates that were otherwise indistinguishable using our current typing methods. Routine WGS was then used for prospective epidemiologic surveillance on a further 97 L. monocytogenes isolates over a 12-month period, which provided a greater level of discrimination than that of conventional typing for inferring linkage to point source outbreaks. A risk-based alert system based on WGS similarity was used to inform epidemiologists required to act on the data. Our experience shows that WGS can be adopted for prospective L. monocytogenes surveillance and investigated for other pathogens relevant to public health.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.