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Dos Santos, A. R.

Publications and source records attributed to Dos Santos, A. R..

2 recordsLinked to original sources

Feeding your enemy's enemy: Acidifying bacteria inhibit pathogenic bacteria more strongly with increasing glucose

Classical microbiology has focused on directly suppressing pathogens using drugs, ignoring other harmless microbial species living alongside the pathogens. We now have a much better understanding of how species interact and affect one anothers growth within microbial communities, for example through chemical production. Here we capitalize on this understanding to demonstrate how one can manipulate and control the strength of interactions between bacterial species, and combine this with antibiotics to fully suppress and eliminate pathogens. Using experiments and a mathematical model, we first show how Citrobacter freundii can reduce the environmental pH to enhance the effect of ampicillin on the pathogen Pseudomonas aeruginosa. This negative interaction from C. freundii to P. aeruginosa can be strengthened by increasing glucose concentrations. Our proof-of-concept approach also worked against other pathogens: Klebsiella pneumoniae and Agrobacterium tumefaciens, and a different commensal: Lactobacillus plantarum, a common probiotic species. Overall, we show that taking advantage of the community and chemical context in which microbes live can help to develop efficient strategies to control them. In the medical context, this approach can help to eliminate pathogens thereby reducing our reliance on antibiotics.

microbiology↗

Classifying interactions in a synthetic bacterial community is hindered by inhibitory growth medium

Predicting the fate of a microbial community and its member species relies on understanding the nature of their interactions. However, designing simple assays that distinguish between interaction types can be challenging. Here, we performed spent media assays based on the predictions of a mathematical model to decipher the interactions between four bacterial species: Agrobacterium tumefaciens (At), Comamonas testosteroni (Ct), Microbacterium saperdae (Ms) and Ochrobactrum anthropi (Oa). While most experimental results matched model predictions, the behavior of Ct did not: its lag phase was reduced in the pure spent media of At and Ms, but prolonged again when we replenished with our growth medium. Further experiments showed that the growth medium actually delayed the growth of Ct, leading us to suspect that At and Ms could alleviate this inhibitory effect. There was, however, no evidence supporting such "cross-detoxification" and instead, we identified metabolites secreted by At and Ms that were then consumed or "crossfed" by Ct, shortening its lag phase. Our results highlight that even simple, defined growth media can have inhibitory effects on some species and that such negative effects need to be included in our models. Based on this, we present new guidelines to correctly distinguish between different interaction types, such as cross-detoxification and cross-feeding.

microbiology↗