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Identification of Pathogenicity-Associated Loci in Klebsiella pneumoniae from Hospitalized Patients
- Source :
- mSystems, Vol 3, Iss 3 (2018)
- Publication Year :
- 2018
- Publisher :
- American Society for Microbiology, 2018.
-
Abstract
- ABSTRACT Despite insights gained through experimental models, the set of bacterial genes important for human infection is unclear for many of our most threatening pathogens. Klebsiella pneumoniae is a leading cause of health care-associated infections (HAIs) and commonly colonizes hospitalized patients, but the factors that determine whether a particular isolate causes disease or remains a colonizer are poorly understood. To identify bacterial genes associated with K. pneumoniae infection, a case-control study was performed comparing infected and asymptomatic colonized patients. Comparative bacterial genomics was combined with a conditional logit model that identified patient factors differentiating cases from controls. This method identified five gene loci associated with infection after adjustment for patient factors, including a psicose sugar utilization locus that was validated as a fitness factor during mouse lung infection. These results indicate that bacterial genome-wide association studies of patients can identify loci associated with HAIs and important in infection models. IMPORTANCE Klebsiella pneumoniae is a common cause of infections in the health care setting. This work supports a paradigm for K. pneumoniae pathogenesis where the accessory genome, composed of genes present in some but not all isolates, influences whether a strain causes infection or asymptomatic colonization, after accounting for patient-level factors. Identification of patients at high risk of infection could allow interventions to prevent or rapidly treat K. pneumoniae infections. Author Video: An author video summary of this article is available.
Details
- Language :
- English
- ISSN :
- 23795077
- Volume :
- 3
- Issue :
- 3
- Database :
- Directory of Open Access Journals
- Journal :
- mSystems
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.40a29fbd0ddd46af832ba1d1635f4756
- Document Type :
- article
- Full Text :
- https://doi.org/10.1128/mSystems.00015-18