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Biology subjects

Josselin, L.

Publications and source records attributed to Josselin, L..

2 recordsLinked to original sources

Cellular responsiveness as a predictive indicator for population collapse and autonomous control in continuous cultures of Pseudomonas putida

How microbial populations respond to repeated environmental transitions determines both their ecological fitness and their utility in biotechnological applications. Using Pseudomonas putida KT2440 equipped with fluorescent biosensors and monitored by automated flow cytometry in the Segregostat platform, we show that exposure to benzoate, a plastic-derived aromatic feedstock, progressively reduces cellular responsiveness, defined as the fraction of cells that successfully activate a gene circuit following an environmental transition. Unlike classical switching costs, which promote phenotypic diversification, benzoate suppresses responsiveness without increasing population entropy, in a concentration-dependent and circuit-independent manner tightly correlated with fitness loss. A resource allocation model incorporating the competing demands of benzoate assimilation, toxicity, and tolerance reveals that this impairment emerges from a three-way competition for limited cellular resources. Above a critical benzoate load, insufficient resources remain available to sustain the adaptive reallocation required for circuit activation. In continuous culture, a non-responsive subpopulation accumulates as a leading indicator of population collapse. Exploiting this signal, we implement a two-stage connected bioreactor system in which benzoate feeding is autonomously regulated based on real-time population structure, enabling complete substrate consumption and stable operation at otherwise destabilizing concentrations. These results establish cellular responsiveness as a quantitative population variable and demonstrate that structure-aware feedback control, acting on population composition rather than bulk physiology, provides a principled route toward autonomous bioprocesses on challenging substrates.

Systems Biology↗

Synthetic niches enable co-culture bioprocessing but are prone to mutational escape

Stabilizing microbial co-cultures is a central challenge for bioproduction. While division of labor between strains can enhance efficiency, it often results in population instability over time. Classical strategies, including cross-feeding, quorum sensing, and toxin-antitoxin modules, often rely on complex ecological interactions that are difficult to predict or maintain under bioprocess conditions. Here, we introduce synthetic niches as an alternative framework, using genetic toggle switches that couple growth to defined phenotypic states. We engineered two auxotrophic strains, TOGGLE_green and TOGGLE_yellow, in which growth is linked to either GFP- or YFP-expressing states and assessed their behavior in continuous bioreactor cultures using automated flow cytometry. Unexpectedly, the introduction of auxotrophic pressure reshaped circuit function i.e., instead of maintaining bistability, toggle strains behaved as unidirectional inducible systems that reverted upon inducer withdrawal. This feature enabled simplified control with a single input but also revealed a vulnerability to mutational escape under intensified cultivation. A simple repression-based ODE model recapitulated the reversible dynamics, but deviations under prolonged operation highlighted the rapid evolutionary erosion of control. Our findings demonstrate both the potential and the limitations of synthetic niches for co-culture engineering and emphasize the need to integrate evolutionary robustness into the design of next-generation bioprocess control strategies.

synthetic biology↗