Abstract

Staphylococcus aureus is a human commensal and also an opportunist pathogen causing life threatening infections. During S. aureus disease, the abscesses that characterise infection can be clonal, whereby a large bacterial population is founded by a single or few organisms. Our previous work has shown that macrophages are responsible for restricting bacterial growth such that a population bottleneck occurs and clonality can emerge. A subset of phagocytes fail to control S. aureus resulting in bacterial division, escape and founding of microabscesses that can seed other host niches. Here we investigate the basis for clonal microabscess formation, using in vitro and in silico models of S. aureus macrophage infection. Macrophages that fail to control S. aureus are characterised by formation of intracellular bacterial masses, followed by cell lysis. High-resolution microscopy reveals that most macrophages had internalised only a single S. aureus, providing a conceptual framework for clonal microabscess generation, which was supported by a stochastic individual-based, mathematical model. Once a threshold of masses was reached, increasing the number of infecting bacteria did not result in greater mass numbers, despite enhanced phagocytosis. This suggests a finite number of permissive, phagocyte niches determined by macrophage associated factors. Increased understanding of the parameters of infection dynamics provides avenues for development of rational control measures.

Details

Title
Clonal population expansion of Staphylococcus aureus occurs due to escape from a finite number of intraphagocyte niches
Author
Pidwill, Grace R. 1 ; Pyrah, Josie F. 2 ; Sutton, Joshua A. F. 1 ; Best, Alex 3 ; Renshaw, Stephen A. 4 ; Foster, Simon J. 1 

 University of Sheffield, School of Biosciences, Sheffield, UK (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262); University of Sheffield, Florey Institute, Sheffield, UK (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262) 
 University of Sheffield, School of Biosciences, Sheffield, UK (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262); University of Sheffield, Florey Institute, Sheffield, UK (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262); University of Sheffield, The Bateson Centre, Sheffield, UK (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262) 
 University of Sheffield, School of Mathematics & Statistics, Sheffield, UK (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262) 
 University of Sheffield, Florey Institute, Sheffield, UK (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262); University of Sheffield, The Bateson Centre, Sheffield, UK (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262); University of Sheffield, Department of Infection, Immunity and Cardiovascular Disease, Medical School, Sheffield, UK (GRID:grid.11835.3e) (ISNI:0000 0004 1936 9262) 
Pages
1188
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2767523239
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.