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Cystic fibrosis (CF) results in accumulation of mucus in the airways that promotes pathogen colonization, leading to respiratory exacerbations, lung failure, and death. The CF airway harbors a complex microbiota, including pathogens and oropharyngeal bacteria. Here, we reanalyzed 5,260 16S rRNA gene microbiota data sets to infer associations between members of the CF microbiota. We determined that pathogens are more likely to proliferate and dominate when present, while oropharyngeal bacteria are generally present at lower abundances. We found that higher diversity and increasing numbers of pairwise associations between bacteria were positively correlated with lung function. In contrast, dominance of the microbiota by pathogens was associated with loss of lung function. We determined that pathogens are largely negatively associated with each other and oropharyngeal bacteria, suggesting they are antagonistic toward other bacteria. As a first test of this hypothesis, we cultured 1,597 isolates from 96 people with CF and performed 12,542 coculture assays against eight representative pathogens and oropharyngeal bacteria, finding 23% of interactions resulted in inhibition. Among our isolates, Pseudomonas were the most inhibitory, but we observed variable activity between different isolates. We further found Pseudomonas aeruginosa isolates, even those from the same donor and time point, exhibited significant differences in their metabolome and bioactivity profiles that correlated with acquisition of mutations. Together, our results suggest that pathogens may disrupt the CF microbiota and proliferate in part through bioactive metabolite production. Furthermore, these data highlight that characterizing multiple isolates is necessary to capture the full landscape of chemically mediated interactions within microbiomes. IMPORTANCE The cystic fibrosis (CF) airway harbors a complex microbiota, including oropharyngeal bacteria and opportunistic pathogens that establish chronic infections. We found that microbiota diversity is correlated with health and that a pathogen-dominated microbiota is associated with low lung function. We then inferred potential microbial interactions by determining abundance associations between CF genera, which suggested that pathogens antagonize other bacteria. To test this prediction, we cultured bacteria from people with CF and performed thousands of coculture assays, finding that approximately one-quarter of interactions resulted in growth inhibition. Pseudomonas broadly inhibited other members of the CF airway microbiota. However, we observed marked variability in bioactivity and metabolite profiles of Pseudomonas aeruginosa isolates, even from the same donor at the same time. Our results suggest that pathogens disrupt the CF microbiota, possibly through bioactive metabolite production, and that characterizing multiple isolates is necessary to capture the complete picture of interactions in these communities.
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Morabbi et al. (2026) studied this question.
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