ArticlePloS one2015
Rapid high resolution genotyping of Francisella tularensis by whole genome sequence comparison of annotated genes ("MLST+").
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 40 citations in OpenAlex.
- First European detection and genomic analysis ofIDCases · 2026Article
- Three Cases of Tickborne Francisella tularensis Infection, Austria, 2022.Emerging infectious diseases · 2023Article
- Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria.Diagnostics (Basel, Switzerland) · 2023Review
- Review
- Acinetobacter baumannii Genomic Sequence-Based Core Genome Multilocus Sequence Typing Using Ridom SeqSphere+ and Antimicrobial Susceptibility Prediction in ARESdb.Journal of clinical microbiology · 2022Article
- Genomic Epidemiology Links Burkholderia pseudomallei from Individual Human Cases to B. pseudomallei from Targeted Environmental Sampling in Northern Australia.Journal of clinical microbiology · 2022Article
- Development and evaluation of a core genome multilocus sequence typing scheme for Paenibacillus larvae, the deadly American foulbrood pathogen of honeybees.Environmental microbiology · 2021Article
- A Whole-Genome-Based Gene-by-Gene Typing System for Standardized High-Resolution Strain Typing of Bacillus anthracis.Journal of clinical microbiology · 2021Article
- Genetic diversity of Francisella tularensis subsp. holarctica in Kazakhstan.PLoS neglected tropical diseases · 2021Article
- Antibiotic resistance: Time of synthesis in a post-genomic age.Computational and structural biotechnology journal · 2021Review
- Genotyping ofMicroorganisms · 2020Article
- Review
- Using affinity propagation clustering for identifying bacterial clades and subclades with whole-genome sequences of Francisella tularensis.PLoS neglected tropical diseases · 2020Article
- Core genome MLST and resistome analysis of Klebsiella pneumoniae using a clinically amenable workflow.Diagnostic microbiology and infectious disease · 2020Article
- Acute Vector-Borne Viral Infection: Zika and MinION Surveillance.Microbiology spectrum · 2019Review
- BacTag - a pipeline for fast and accurate gene and allele typing in bacterial sequencing data based on database preprocessing.BMC genomics · 2019Article
- Genetic Diversity and Spatial Segregation ofFrontiers in cellular and infection microbiology · 2019Article
- Defining and Evaluating a Core Genome Multilocus Sequence Typing Scheme for Genome-Wide Typing of Clostridium difficile.Journal of clinical microbiology · 2018Article
- RevisitingFrontiers in microbiology · 2018Article
- Core Genome Multilocus Sequence Typing: a Standardized Approach for Molecular Typing of Mycoplasma gallisepticum.Journal of clinical microbiology · 2018Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The zoonotic disease tularemia is caused by the bacterium Francisella tularensis. This pathogen is considered as a category A select agent with potential to be misused in bioterrorism. Molecular typing based on DNA-sequence like canSNP-typing or MLVA has become the accepted standard for this organism. Due to the organism's highly clonal nature, the current typing methods have reached their limit of discrimination for classifying closely related subpopulations within the subspecies F. tularensis ssp. holarctica. We introduce a new gene-by-gene approach, MLST+, based on whole genome data of 15 sequenced F. tularensis ssp. holarctica strains and apply this approach to investigate an epidemic of lethal tularemia among non-human primates in two animal facilities in Germany. Due to the high resolution of MLST+ we are able to demonstrate that three independent clones of this highly infectious pathogen were responsible for these spatially and temporally restricted outbreaks.
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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.