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A scalable architecture for tuning multistate differentiation ratios in synthetic microbial consortia

Sasson, C.; Capin, J.; Boussau, Q.; Abi-Khalil, A.; Guyot, M.; Mayoud, C.; Fiston-Lavier, A.-S.; Fristot, E.; Bruyere, J.; Devos, X.; Cohen-Gonsaud, M.; Cattoni, D.; Bonnet, J.

2025-12-17 synthetic biology
10.64898/2025.12.17.694810 bioRxiv
Show abstract

Establishing synthetic microbial consortia in competitive environments is often compromised by stochastic colonization bottlenecks, where founder effects lead to the unpredictable dominance of a single strain. Here, we overcome this challenge by engineering a differentiation abacus, a scalable, single-layer recombinase architecture that enables a single progenitor cell to differentiate into up to twelve distinct subpopulations. By arranging competitive excision sites in a linear array, we demonstrate that differentiation ratios can be programmed through rationally tuning recombination-site kinetics and inter-site spacing. This architecture allows the generation of strictly mutually exclusive phenotypes with tunable composition, scaling from simple two-state systems to complex multi-state ensembles without the need for multilayered regulation. Finally, we validate the systems utility in a mouse tumor model, showing that in situ differentiation establishes robust, homogeneous consortia that overcome the colonization variability associated with pre-assembled mixtures. This work provides a versatile and scalable framework for reliably controlling consortia composition for bioproduction, synthetic ecology, and engineered living therapies.

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