Growing a cystic fibrosis-relevant polymicrobial biofilm to probe community phenotypes

This article has been Reviewed by the following groups

Read the full article See related articles

Listed in

Log in to save this article

Abstract

Most in vitro models lack the capacity to fully probe bacterial phenotypes emerging from the complex interactions observed in real-life environments. This is particularly true in the context of hard-to-treat chronic and polymicrobial biofilm-based infections detected in the airways of persons with cystic fibrosis (pwCF), a multiorgan genetic disease. While multiple microbiome studies have defined the microbial compositions detected in the airway of pwCF, no in vitro models thus far had fully integrated critical cystic fibrosis (CF)-relevant lung features. Therefore, a significant knowledge-gap in our capacity to investigate the mechanisms driving the pathogenesis of mixed species CF lung infections remained. To tackle this challenge, we have built a four-species microbial community model including Pseudomonas aeruginosa, Staphylococcus aureus, Streptococcus sanguinis , and Prevotella melaninogenica grown in CF-like conditions. Through the utilization of this system, clinically relevant phenotypes such as antimicrobial (Abx) recalcitrance of several pathogens were observed and explored at the molecular level. The usefulness of this in vitro model resides in its standardized workflow that can facilitate the study of interspecies interactions in the context of chronic CF lung infections.

SUMMARY

In this protocol, we describe a cystic fibrosis (CF)-lung relevant four-species polymicrobial biofilm model that can be used to explore the impact of bacterial interspecies interactions.

Article activity feed

  1. P. aeruginosa and S. aureus strains are collected from the overnights. For Streptococcus spp. and Prevotella spp.

    If possible, I think it would be really useful to include information on which exact strains should be used for each species (since it seems like there would be growth differences), whether there are other genomic or genetic resources for the suggested strains, and whether they are available from a genetic stock center such as ATCC or DSMZ. This could really help with both reproducibility across labs, and enabling more detailed analyses.