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Tracking a tuberculosis outbreak over 21 years : strain-specific single-nucleotide polymorphism typing combined with targeted whole-genome sequencing

Stucki, David and Ballif, Marie and Bodmer, Thomas and Coscolla, Mireia and Maurer, Anne-Marie and Droz, Sara and Butz, Christa and Borrell, Sonia and Längle, Christel and Feldmann, Julia and Furrer, Hansjakob and Mordasini, Carlo and Helbling, Peter and Rieder, Hans L. and Egger, Matthias and Gagneux, Sébastien and Fenner, Lukas. (2015) Tracking a tuberculosis outbreak over 21 years : strain-specific single-nucleotide polymorphism typing combined with targeted whole-genome sequencing. Journal of infectious diseases, Vol. 211, H. 8. pp. 1306-1316.

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Official URL: http://edoc.unibas.ch/dok/A6373550

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Abstract

Whole-genome sequencing (WGS) is increasingly used in molecular-epidemiological investigations of bacterial pathogens, despite cost- and time-intensive analyses. We combined strain-specific single-nucleotide polymorphism (SNP) typing and targeted WGS to investigate a tuberculosis cluster spanning 21 years in Bern, Switzerland.; On the basis of genome sequences of 3 historical outbreak Mycobacterium tuberculosis isolates, we developed a strain-specific SNP-typing assay to identify further cases. We screened 1642 patient isolates and performed WGS on all identified cluster isolates. We extracted SNPs to construct genomic networks. Clinical and social data were retrospectively collected.; We identified 68 patients associated with the outbreak strain. Most received a tuberculosis diagnosis in 1991-1995, but cases were observed until 2011. Two thirds were homeless and/or substance abusers. Targeted WGS revealed 133 variable SNP positions among outbreak isolates. Genomic network analyses suggested a single origin of the outbreak, with subsequent division into 3 subclusters. Isolates from patients with confirmed epidemiological links differed by 0-11 SNPs.; Strain-specific SNP genotyping allowed rapid and inexpensive identification of M. tuberculosis outbreak isolates in a population-based strain collection. Subsequent targeted WGS provided detailed insights into transmission dynamics. This combined approach could be applied to track bacterial pathogens in real time and at high resolution.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Medical Parasitology and Infection Biology (MPI) > Tuberculosis Ecology and Evolution Unit (Gagneux)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
UniBasel Contributors:Stucki, David Paul and Ballif, Marie and Coscollá, Mireja and Borrell, Sonia and Gagneux, Sebastien and Fenner, Lukas
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Oxford University Press
ISSN:0022-1899
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:03 Jul 2015 08:53
Deposited On:03 Jul 2015 08:53

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