Oxidative stress changes interactions between two bacterial species
Di Martino, R.; Picot, A.; Mitri, S.
10.1101/2023.05.24.542164 bioRxivShow abstract
Knowing how species interact within microbial communities is crucial to predicting and controlling community dynamics, but interactions can depend on environmental conditions. The stress-gradient hypothesis (SGH) predicts that species are more likely to facilitate each other in harsher environments. Even if the SGH gives some intuition, quantitative modeling of the context-dependency of interactions requires understanding the mechanisms behind the SGH. In this study, we show with both experiments and a theoretical analysis, that varying the con-centration of a single compound, linoleic acid, modifies the interaction between two bacterial species from competitive at a low concentration, to facilitative at higher concentrations where linoleic acid becomes toxic for one of the two species. We demonstrate that the mechanism behind facilitation is that one species is able to reduce Reactive Oxygen Species (ROS) that are produced spontaneously at higher concentrations of linoleic acid, allowing for short-term rescue of the species that is sensitive to ROS and longer coexistence in serial transfers. In our system, competition and facilitation between species can occur simultaneously, and changing the concentration of a single compound can alter the balance between the two.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- The growth benefits and toxicity of quinone synthesis are balanced by a dual regulatory mechanism and substrate limitations 95%
- Metabolite sequestration enables rapid recovery from fatty acid depletion in Escherichia coli 95%
- Environmental and physiological factors affecting high-throughput measurements of bacterial growth 94%
Similar papers in this journal
- The Predicted Metabolic Function of the Gut Microbiota of Drosophila melanogaster 95%
- Cell growth model with stochastic gene expression helps understand the growth advantage of metabolic exchange and auxotrophy 95%
- A salvaging strategy enables stable metabolite provisioning among free-living bacteria 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.