Issue 13, 2014

Single cell growth rate and morphological dynamics revealing an “opportunistic” persistence

Abstract

Bacteria persistence is a well-known phenomenon, where a small fraction of cells in an isogenic population are able to survive high doses of antibiotic treatment. Since the persistence is often associated with single cell behaviour, the ability to study the dynamic response of individual cells to antibiotics is critical. In this work, we developed a gradient microfluidic system that enables long-term tracking of single cell morphology under a wide range of inhibitor concentrations. From time-lapse images, we calculated bacterial growth rates based on the variations in cell mass and in cell number. Using E. coli and Comamonas denitrificans to amoxicillin inhibition as model systems, we found the IC50 determined via both methods are in a good agreement. Importantly, the growth rates together with morphological dynamics of individual cells has led to the discovery of a new form of persistence to amoxicillin. Normal cells that are sensitive to amoxicillin gain persistence or recover from the killing process, if they have had an opportunity to utilise the cytoplasm released from lysed cells close-by. We term this acquired persistence in normal growing cells “opportunistic persistence”. This finding might shed new insights into biofilm resistance and the effect of antibiotics on environmental microbes.

Graphical abstract: Single cell growth rate and morphological dynamics revealing an “opportunistic” persistence

Supplementary files

Article information

Article type
Paper
Submitted
23 Jan 2014
Accepted
02 Apr 2014
First published
02 Apr 2014
This article is Open Access
Creative Commons BY license

Analyst, 2014,139, 3305-3313

Author version available

Single cell growth rate and morphological dynamics revealing an “opportunistic” persistence

B. Li, Y. Qiu, A. Glidle, J. Cooper, H. Shi and H. Yin, Analyst, 2014, 139, 3305 DOI: 10.1039/C4AN00170B

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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