Data from: Inter-species interactions alter antibiotic efficacy in bacterial communities

The efficacy of antibiotic treatments targeting polymicrobial communities is not well predicted by conventional <i>in vitro</i> susceptibility testing based on determining minimum inhibitory concentration (MIC) in monocultures. One reason for this is that inter-species interactions can alter the community members’ susceptibility to antibiotics. Here we quantify, and identify mechanisms for, community-modulated changes of efficacy for clinically relevant antibiotics against a focal pathogen <i>Pseudomonas aeruginosa </i>in model cystic fibrosis lung communities derived from clinical samples. We demonstrate that multi-drug resistant <i>Stenotrophomonas maltophilia</i> can provide high levels of antibiotic protection to otherwise sensitive <i>P. aeruginosa. </i>Exposure protection to imipenem was provided by chromosomally encoded metallo-β-lactamase which detoxified the environment; protection was dependent upon <i>S. maltophilia</i> cell density and provided by clinically isolated strains, increasing the MIC of <i>P. aeruginosa</i> by up to 16-fold. In contrast, the presence of <i>S. maltophilia </i>provided no protection against meropenem, another routinely used carbapenem. Mathematical modelling shows that the level of exposure protection provided against different carbapenems can be explained by differences in antibiotic efficacy and inactivation rate. Together, these findings reveal that exploitation of pre-occurring antimicrobial resistance, and inter-specific competition, can have large impacts on pathogen antibiotic susceptibility, highlighting the importance of microbial ecology for designing successful antibiotic treatments for multi-species communities.