Measuring and modelling the response of Klebsiella pneumoniae KPC prey to Bdellovibrio bacteriovorus predation, in human serum and defined buffer

Baker, Michelle and Negus, David and Raghunathan, Dhaarini and Radford, Paul and Moore, Christopher and Clark, Gemma and Diggle, Mathew and Tyson, Jess and Twycross, Jamie and Sockett, R. Elizabeth (2017) Measuring and modelling the response of Klebsiella pneumoniae KPC prey to Bdellovibrio bacteriovorus predation, in human serum and defined buffer. Scientific Reports, 7 (8329). pp. 1-18. ISSN 2045-2322

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Abstract

In worldwide conditions of increasingly antibiotic-resistant hospital infections, it is important to research alternative therapies. Bdellovibrio bacteriovorus bacteria naturally prey on Gram-negative pathogens, including antibiotic-resistant strains and so B. bacteriovorus have been proposed as “living antibiotics” to combat antimicrobially-resistant pathogens. Predator-prey interactions are complex and can be altered by environmental components. To be effective B. bacteriovorus predation needs to work in human body fluids such as serum where predation dynamics may differ to that studied in laboratory media. Here we combine mathematical modelling and lab experimentation to investigate the predation of an important carbapenem-resistant human pathogen, Klebsiella pneumoniae, by B. bacteriovorus in human serum versus buffer. We show experimentally that B. bacteriovorus is able to reduce prey numbers in each environment, on different timescales. Our mathematical model captures the underlying dynamics of the experimentation, including an initial predation-delay at the predator-preyserum interface. Our research shows differences between predation in buffer and serum and highlights both the potential and limitations of B. bacteriovorus acting therapeutically against K. pneumoniae in serum, informing future research into the medicinal behaviours and dosing of this living antibacterial.

Item Type: Article
Keywords: Bdellovibrio, Pathogen, Serum, Klebsiella, modelling
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Life Sciences
Identification Number: 10.1038/s41598-017-08060-4
Related URLs:
Depositing User: Negus, David
Date Deposited: 22 Aug 2017 09:47
Last Modified: 23 Aug 2017 00:30
URI: http://eprints.nottingham.ac.uk/id/eprint/45031

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