| Literature DB >> 28375518 |
Christopher S Henry1, Ella Rotman2, Wyndham W Lathem2, Keith E J Tyo3, Alan R Hauser2,4, Mark J Mandel2.
Abstract
Klebsiella pneumoniae has a reputation for causing a wide range of infectious conditions, with numerous highly virulent and antibiotic-resistant strains. Metabolic models have the potential to provide insights into the growth behavior, nutrient requirements, essential genes, and candidate drug targets in these strains. Here we develop a metabolic model for KPPR1, a highly virulent strain of K. pneumoniae. We apply a combination of Biolog phenotype data and fitness data to validate and refine our KPPR1 model. The final model displays a predictive accuracy of 75% in identifying potential carbon and nitrogen sources for K. pneumoniae and of 99% in predicting nonessential genes in rich media. We demonstrate how this model is useful in studying the differences in the metabolic capabilities of the low-virulence MGH 78578 strain and the highly virulent KPPR1 strain. For example, we demonstrate that these strains differ in carbohydrate metabolism, including the ability to metabolize dulcitol as a primary carbon source. Our model makes numerous other predictions for follow-up verification and analysis. Published by Oxford University Press for the Infectious Diseases Society of America 2017. This work is written by (a) US Government employee(s) and is in the public domain in the US.Entities:
Keywords: Biolog; Klebsiella pneumoniae KPPR1; bacteria; flux balance analysis; gap filling; metabolic model; resistance; transposon insertion sequencing
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Year: 2017 PMID: 28375518 PMCID: PMC5790149 DOI: 10.1093/infdis/jiw465
Source DB: PubMed Journal: J Infect Dis ISSN: 0022-1899 Impact factor: 5.226