107
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Preliminary feasibility and modelling of a liquid matrix Dictyostelium discoideum virulence assay for Pseudomonas aeruginosa

, , &
Pages 51-55 | Received 02 Dec 2015, Accepted 18 Feb 2016, Published online: 28 Apr 2016
 

Abstract

Objectives: To develop and determine the feasibility of using a liquid matrix adaptation of the Dictyostelium discoideum bacterial virulence assay by testing on well-characterised clinical and environmental isolates of Pseudomonas aeruginosa.

Materials and methods: Axenic AX2 D. discoideum were co-cultured with clinical and environmental isolates of P. aeruginosa in costar 24-well tissue culture plates for 24 h. A P. aeruginosa PAO1 positive control was tested in biological quintuplicate. Wells were then inspected using an inverted microscope and the degree of cytotoxic changes (sparse growth compared to control combined with rounding of cells and cytoplasmic shrinkage) on the D. discoideum cells was observed. A Klebsiella aerogenes negative control was included with each assay series.

Results: Sixty-five clinical and 20 environmental P. aeruginosa isolates were tested in the model. Cystic fibrosis respiratory isolates were found to be significantly (P < 0.05) less cytotoxic than P. aeruginosa from other sources. Limitations attached to the funding of this paper did not allow validation against previously employed models or animal models.

Discussion: A liquid matrix D. discoideum model for the analysis of P. aeruginosa virulence in a eukaryotic host is feasible, but further validation of the model is required before it may be employed in routine setting.

Acknowledgements

The K. aerogenes and AX2 strains used in these experiments were kindly provided by Prof Paul Fisher of La Trobe University.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.