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Discerning the Complexity of Community Interactions Using a Drosophila Model of Polymicrobial Infections

Authors
Publisher
Public Library of Science
Publication Date
Volume
4
Issue
10
Identifiers
DOI: 10.1371/journal.ppat.1000184
Keywords
  • Research Article
  • Infectious Diseases/Bacterial Infections
  • Infectious Diseases/Respiratory Infections
  • Microbiology/Innate Immunity
Disciplines
  • Biology
  • Medicine

Abstract

Author Summary Bacterial infections often involve more than one species. The lung disease of cystic fibrosis (CF) patients provides examples of polymicrobial infections whereby diverse and dynamic microbial communities are a characteristic of CF airways. The significance of microbe–microbe interactions and the interplay of the communities with the host have not been thoroughly investigated. We describe a novel Drosophila model to discern the biological interactions between microbes within microbial communities, as well as the interactions between the communities and the innate immune system. Using fly survival as a readout of relevant interactions, we show that mixed infections may additively or synergistically enhance the pathogenicity of a microbial community. The polymicrobial infection model was used to differentiate the bacterial flora in CF sputum, revealing that a large proportion of the organisms in CF airways has the ability to influence the outcome of an infection when in combination with the principal CF pathogen Pseudomonas aeruginosa. We show that during the synergistic-type mixed infections, P. aeruginosa virulence gene expression is altered within live Drosophila compared to mono-species infections. The immune response to microbial communities takes many forms and can include synergistic activation of antimicrobial peptide gene expression. We postulate that the biological interactions exposed using this model may contribute to the transition from chronic stable infections to acute pulmonary exacerbation infections in CF.

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