Dataset Information

Genomic Epidemiology Links Burkholderia pseudomallei from Individual Human Cases to B. pseudomallei from Targeted Environmental Sampling in Northern Australia.

ABSTRACT: Each case of melioidosis results from a single event when a human is infected by the environmental bacterium Burkholderia pseudomallei. Darwin, in tropical northern Australia, has the highest incidences of melioidosis globally, and the Darwin Prospective Melioidosis Study (DPMS) commenced in 1989, documenting all culture-confirmed melioidosis cases. From 2000 to 2019, we sampled DPMS patients' environments for B. pseudomallei when a specific location was considered to be where infection occurred, with the aim of using genomic epidemiology to understand B. pseudomallei transmission and infecting scenarios. Environmental sampling was performed at 98 DPMS patient sites, where we collected 975 environmental samples (742 soil and 233 water). Genotyping matched the clinical and epidemiologically linked environmental B. pseudomallei for 19 patients (19%), with the environmental isolates cultured from soil (n = 11) and water (n = 8) sources. B. pseudomallei isolates from patients and their local environments that matched on genotyping were subjected to whole-genome sequencing (WGS). Of the 19 patients with a clinical-environmental genotype match, 17 pairs clustered on a Darwin core genome single-nucleotide polymorphism (SNP) phylogeny, later confirmed by single sequence typing (ST) phylogenies and pairwise comparative genomics. When related back to patient clinical scenarios, the matched clinical and environmental B. pseudomallei pairs informed likely modes of infection: percutaneous inoculation, inhalation, and ingestion. Targeted environmental sampling for B. pseudomallei can inform infecting scenarios for melioidosis and dangerous occupational and recreational activities and identify hot spots of B. pseudomallei presence. However, WGS and careful genomics are required to avoid overcalling the relatedness between clinical and environmental isolates of B. pseudomallei.

SUBMITTER: Webb JR

PROVIDER: S-EPMC8925902 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Genomic Epidemiology Links Burkholderia pseudomallei from Individual Human Cases to B. pseudomallei from Targeted Environmental Sampling in Northern Australia.

Webb Jessica R JR Mayo Mark M Rachlin Audrey A Woerle Celeste C Meumann Ella E Rigas Vanessa V Harrington Glenda G Kaestli Mirjam M Currie Bart J BJ

Journal of clinical microbiology 20220126 3

Each case of melioidosis results from a single event when a human is infected by the environmental bacterium Burkholderia pseudomallei. Darwin, in tropical northern Australia, has the highest incidences of melioidosis globally, and the Darwin Prospective Melioidosis Study (DPMS) commenced in 1989, documenting all culture-confirmed melioidosis cases. From 2000 to 2019, we sampled DPMS patients' environments for B. pseudomallei when a specific location was considered to be where infection occurred ...[more]

PMID: 35080450

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Project description:The Tier 1 select agent Burkholderia pseudomallei is an environmental bacterium that causes melioidosis, a high mortality disease. Variably present genetic markers used to elucidate strain origin, relatedness and virulence in B. pseudomallei include the Burkholderia intracellular motility factor A (bimA) and filamentous hemagglutinin 3 (fhaB3) gene variants. Three lipopolysaccharide (LPS) O-antigen types in B. pseudomallei have been described, which vary in proportion between Australian and Asian isolates. However, it remains unknown if these LPS types can be used as genetic markers for geospatial analysis within a contiguous melioidosis-endemic region. Using a combination of whole-genome sequencing (WGS), statistical analysis and geographical mapping, we examined if the LPS types can be used as geographical markers in the Northern Territory, Australia. The clinical isolates revealed that LPS A prevalence was highest in the Darwin and surrounds (n = 660; 96% being LPS A and 4% LPS B) and LPS B in the Katherine and Katherine remote and East Arnhem regions (n = 79; 60% being LPS A and 40% LPS B). Bivariate logistics regression of 999 clinical B. pseudomallei isolates revealed that the odds of getting a clinical isolate with LPS B was highest in East Arnhem in comparison to Darwin and surrounds (OR 19.5, 95% CI 9.1-42.0; p<0.001). This geospatial correlation was subsequently confirmed by geographically mapping the LPS type from 340 environmental Top End strains. We also found that in the Top End, the minority bimA genotype bimABm has a similar remote region geographical footprint to that of LPS B. In addition, correlation of LPS type with multi-locus sequence typing (MLST) was strong, and where multiple LPS types were identified within a single sequence type, WGS confirmed homoplasy of the MLST loci. The clinical, sero-diagnostic and vaccine implications of geographically-based B. pseudomallei LPS types, and their relationships to regional and global dispersal of melioidosis, require global collaborations with further analysis of larger clinically and geospatially-linked datasets.

Dataset Information

Genomic Epidemiology Links Burkholderia pseudomallei from Individual Human Cases to B. pseudomallei from Targeted Environmental Sampling in Northern Australia.

Publications

Genomic Epidemiology Links Burkholderia pseudomallei from Individual Human Cases to B. pseudomallei from Targeted Environmental Sampling in Northern Australia.

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