ArticleJournal of clinical microbiology2012
Resolution of a meningococcal disease outbreak from whole-genome sequence data with rapid Web-based analysis methods.
Article in Journal of clinical microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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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
47 citing papers in PubMed.
- Emergence of short-lived meningococci causing focal epidemics can be associated with gene transfer from carriage-associatedbioRxiv : the preprint server for biology · 2026Article
- Phylogenetic trees of closely related bacterial species and subspecies based on frequencies of short nucleotide sequences.PloS one · 2023Article
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- Factor H binding protein (fHbp)-mediated differential complement resistance of a serogroup CAccess microbiology · 2021Article
- Typing methods based on whole genome sequencing data.One health outlook · 2020Review
- Article
- Genus-wideMicrobial genomics · 2019Article
- Comparative analysis of core genome MLST and SNP typing within a European Salmonella serovar Enteritidis outbreak.International journal of food microbiology · 2018Article
- Establishment of the European meningococcal strain collection genome library (EMSC-GL) for the 2011 to 2012 epidemiological year.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2018Article
- Distinct evolutionary patterns of Neisseria meningitidis serogroup B disease outbreaks at two universities in the USA.Microbial genomics · 2018Article
- Genomic analyses of the Chlamydia trachomatis core genome show an association between chromosomal genome, plasmid type and disease.BMC genomics · 2018Article
- MentaLiST - A fast MLST caller for large MLST schemes.Microbial genomics · 2018Article
- Real-Time Whole-Genome Sequencing for Surveillance of Listeria monocytogenes, France.Emerging infectious diseases · 2017Article
- Genomic analysis of urogenital and rectalSexually transmitted infections · 2017Article
- Article
- Population and Functional Genomics of Neisseria Revealed with Gene-by-Gene Approaches.Journal of clinical microbiology · 2016Review
- Genomic Analysis of Serogroup Y Neisseria meningitidis Isolates Reveals Extensive Similarities Between Carriage-Associated and Disease-Associated Organisms.The Journal of infectious diseases · 2016Article
- Whole genome multilocus sequence typing as an epidemiologic tool for Yersinia pestis.Diagnostic microbiology and infectious disease · 2016Article
- Neisseria meningitidis Serogroup X in Sub-Saharan Africa.Emerging infectious diseases · 2016Article
- Distribution of the type III DNA methyltransferases modA, modB and modD among Neisseria meningitidis genotypes: implications for gene regulation and virulence.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The increase in the capacity and reduction in cost of whole-genome sequencing methods present the imminent prospect of such data being used routinely in real time for investigations of bacterial disease outbreaks. For this to be realized, however, it is necessary that generic, portable, and robust analysis frameworks be available, which can be readily interpreted and used in real time by microbiologists, clinicians, and public health epidemiologists. We have achieved this with a set of analysis tools integrated into the PubMLST.org website, which can in principle be used for the analysis of any pathogen. The approach is demonstrated with genomic data from isolates obtained during a well-characterized meningococcal disease outbreak at the University of Southampton, United Kingdom, that occurred in 1997. Whole-genome sequence data were collected, de novo assembled, and deposited into the PubMLST Neisseria BIGSdb database, which automatically annotated the sequences. This enabled the immediate and backwards-compatible classification of the isolates with a number of schemes, including the following: conventional, extended, and ribosomal multilocus sequence typing (MLST, eMLST, and rMLST); antigen gene sequence typing (AGST); analysis based on genes conferring antibiotic susceptibility. The isolates were also compared to a reference isolate belonging to the same clonal complex (ST-11) at 1,975 loci. Visualization of the data with the NeighborNet algorithm, implemented in SplitsTree 4 within the PubMLST website, permitted complete resolution of the outbreak and related isolates, demonstrating that multiple closely related but distinct strains were simultaneously present in asymptomatic carriage and disease, with two causing disease and one responsible for the outbreak itself.
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