Genetic diversity and spatial distribution of Burkholderia mallei by core genome-based multilocus sequence typing analysis.

Autor: Appelt S; Centre for Biological Threats and Special Pathogens (ZBS 2), Robert Koch Institute, Berlin, Germany., Rohleder AM; Centre for Biological Threats and Special Pathogens (ZBS 2), Robert Koch Institute, Berlin, Germany., Jacob D; Centre for Biological Threats and Special Pathogens (ZBS 2), Robert Koch Institute, Berlin, Germany., von Buttlar H; Bundeswehr Institute of Microbiology, Department Bacteriology and Toxinology, Munich, Germany., Georgi E; Bundeswehr Institute of Microbiology, Department Bacteriology and Toxinology, Munich, Germany., Mueller K; Bundeswehr Institute of Microbiology, Department Bacteriology and Toxinology, Munich, Germany., Wernery U; Central Veterinary Research Laboratory, Dubai, United Arab Emirates., Kinne J; Central Veterinary Research Laboratory, Dubai, United Arab Emirates., Joseph M; Central Veterinary Research Laboratory, Dubai, United Arab Emirates., Jose SV; Central Veterinary Research Laboratory, Dubai, United Arab Emirates., Scholz HC; Centre for Biological Threats and Special Pathogens (ZBS 2), Robert Koch Institute, Berlin, Germany.; Bundeswehr Institute of Microbiology, Department Bacteriology and Toxinology, Munich, Germany.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2022 Jul 06; Vol. 17 (7), pp. e0270499. Date of Electronic Publication: 2022 Jul 06 (Print Publication: 2022).
DOI: 10.1371/journal.pone.0270499
Abstrakt: Burkholderia mallei is the etiological agent of glanders, a highly contagious and often fatal disease in equids. Due to the high genetic clonality of B. mallei, high-resolution typing assays are necessary to differentiate between individual strains. Here we report on the development and validation of a robust and reproducible core genome-based Multi Locus Sequence Typing Assay (cgMLST) for B. mallei, which is based on 3328 gene targets and enables high-resolution typing at the strain level. The assay was validated using a set of 120 B. mallei genomes from public databases and 23 newly sequenced outbreak strains from in-house strain collections. In this cgMLST analysis, strains from different geographic regions were clearly distinguished by at least 70 allele differences, allowing spatial clustering while closely related and epidemiologically related strains were separated by only zero to three alleles. Neither the different sequencing technologies nor the assembly strategies had an influence on the cgMLST results. The developed cgMLST is highly robust, reproducible and can be used for outbreak investigations, source tracking and molecular characterization of new B. mallei isolates.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
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