Published September 27, 2016 | Version v1
Dataset Open

Data from: Bacterial competition and quorum-sensing signalling shapes the eco-evolutionary outcomes of model in vitro phage therapy

  • 1. Imperial College London

Description

The rapid rise of antibiotic resistance has renewed interest in phage therapy – the use of bacteria-specific viruses (phages) to treat bacterial infections. Even though phages are often pathogen-specific, little is known about the efficiency and eco-evolutionary outcomes of phage therapy in polymicrobial infections. We studied this experimentally by exposing both quorum sensing (QS) signalling PAO1 and QS-deficient lasR Pseudomonas aeruginosa genotypes (differing in their ability to signal intra-specifically) to lytic PT7 phage in the presence and absence of two bacterial competitors: Staphylococcus aureus and Stenotrophomonas maltophilia – two bacteria commonly associated with P. aeruginosa in polymicrobial cystic fibrosis lung infections. Both the P. aeruginosa genotype and the presence of competitors had profound effects on bacteria and phage densities and bacterial resistance evolution. In general, competition reduced the P. aeruginosa frequencies leading to a lower rate of resistance evolution. This effect was clearer with QS-signalling PAO1 strain due to lower bacteria and phage densities and relatively larger pleiotropic growth cost imposed by both phage and competitors. Unexpectedly, phage selection decreased the total bacterial densities in the QS-deficient lasR pathogen communities, while an increase was observed in the QS-signalling PAO1 pathogen communities. Together these results suggest that bacterial competition can shape the eco-evolutionary outcomes of phage therapy.

Notes

Files

Fitnessdata.pdf

Files (76.4 kB)

Name Size Download all
md5:2a9edd5608b8a786d303b5357d9487d4
20.4 kB Preview Download
md5:113ce3a8e7823c75f78613d0e20c71b8
24.0 kB Preview Download
md5:6ac265b53002074f0ccab7469cfdecb2
17.0 kB Preview Download
md5:4785bea2d4767f4e5d39eec1e83e6734
15.1 kB Preview Download

Additional details

Related works

Is cited by
10.1111/eva.12435 (DOI)