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Infection and Immunity, December 2009, p. 5608-5611, Vol. 77, No. 12
0019-9567/09/$08.00+0 doi:10.1128/IAI.00827-09
Copyright © 2009, American Society for Microbiology. All Rights Reserved.

Gemma L. Foster,1,
Trevelyan J. McKinley,2
Sam P. Brown,3
Simon Clare,4
Duncan J. Maskell,1 and
Pietro Mastroeni1
Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom,1 Cambridge Infectious Diseases Consortium, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom,2 Department of Zoology, University of Oxford, Oxford, United Kingdom,3 Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom4
Received 24 July 2009/ Returned for modification 6 September 2009/ Accepted 11 September 2009
Bacteria of the species Salmonella enterica cause a range of life-threatening diseases in humans and animals worldwide. The within-host quantitative, spatial, and temporal dynamics of S. enterica interactions are key to understanding how immunity acts on these infections and how bacteria evade immune surveillance. In this study, we test hypotheses generated from mathematical models of in vivo dynamics of Salmonella infections with experimental observation of bacteria at the single-cell level in infected mouse organs to improve our understanding of the dynamic interactions between host and bacterial mechanisms that determine net growth rates of S. enterica within the host. We show that both bacterial and host factors determine the numerical distributions of bacteria within host cells and thus the level of dispersiveness of the infection.
Published ahead of print on 21 September 2009.
A.J.G. and G.L.F. contributed equally to this work.
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