2017
DOI: 10.1093/cid/cix153
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Seeding and Establishment of Legionella pneumophila in Hospitals: Implications for Genomic Investigations of Nosocomial Legionnaires’ Disease

Abstract: SummaryWhole-genome sequencing can be used to support or refute suspected links between hospital water systems and Legionnaires’ disease cases. However, caveats regarding the interpretation of genomic data from Legionella pneumophila are described that should be considered in future investigations.

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Cited by 40 publications
(65 citation statements)
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“…From a biological perspective, the lack of genetic diversity in Lpn-SG1 over such coarse temporal and spatial scales is potentially explained by a reservoir of latent-state bacteria intermittently seeding warm water sources in the greater Melbourne region and is supported by the frequently-reported and widespread presence of Legionella species in drinking water supply systems (DWSS) (32-34). Independent studies propose similar hypotheses to explain the surprisingly high sequence conservation among some L. pneumophila genomes (8, 12).…”
Section: Discussionmentioning
confidence: 84%
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“…From a biological perspective, the lack of genetic diversity in Lpn-SG1 over such coarse temporal and spatial scales is potentially explained by a reservoir of latent-state bacteria intermittently seeding warm water sources in the greater Melbourne region and is supported by the frequently-reported and widespread presence of Legionella species in drinking water supply systems (DWSS) (32-34). Independent studies propose similar hypotheses to explain the surprisingly high sequence conservation among some L. pneumophila genomes (8, 12).…”
Section: Discussionmentioning
confidence: 84%
“…In order to appraise the utility of this method beyond a large urban setting and the ST30 genotype, we built a sister model using 31 ST1 environmental L. pneumophila genomes from a previously published hospital investigation in Essex, UK, and used it to predict the origins of seven nosocomial clinical isolates (Fig. 3A, Table S1) (8). Here, the model was trained using an alignment of 59 non-recombinogenic SNPs among the 31 environmental genomes and retaining the first 15 PCs, as this was found to be optimal.…”
Section: Resultsmentioning
confidence: 99%
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