(153a) High-Throughput and Continuous Chaotic Bioprinting of Spatially-Controlled Bacterial Microcosms | AIChE

(153a) High-Throughput and Continuous Chaotic Bioprinting of Spatially-Controlled Bacterial Microcosms

Authors 

Ceballos, C. - Presenter, Tecnológico de Monterrey
Bolívar-Monsalve, E. J., Tecnologico de Monterrey
Quevedo-Moreno, D. A., Tecnologico de Monterrey
Lam-Aguilar, L. L., TECNOLOGICO DE MONTERREY
Borrayo-Montaño, K. I., Tecnologico de Monterrey
Yee-de León, J. F., Delee Corp.
Zhang, Y. S., Harvard Medical School
Álvarez, M. M., Centro de Biotecnología-FEMSA, Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias
Trujillo de Santiago, G., Tecnológico De Monterrey
Microorganisms do not work alone but instead function as collaborative micro-societies. The spatial distribution of different bacterial strains (micro-biogeography) in a shared volumetric space, and their degree of intimacy, greatly influences their societal behavior. Current microbiological techniques are commonly focused on the culture of well-mixed bacterial communities and fail to reproduce the micro-biogeography of polybacterial societies.

Here, we bioprinted fine-scale bacterial microcosms using chaotic flows induced by a printhead containing a static mixer. This straightforward approach (i.e., continuous chaotic bacterial bioprinting) enables the fabrication of hydrogel constructs with intercalated layers of bacterial strains. These multi-layered constructs are used to analyze how the spatial distributions of bacteria affect their social behavior. For example, we show that bacteria within these biological microsystems engage in either cooperation or competition, depending on the degree of shared interface. The extent of inhibition in predator-prey scenarios (i.e., probiotic-pathogen bacteria) increases when bacteria are in greater intimacy. Furthermore, two Escherichia coli strains exhibit competitive behavior in well-mixed microenvironments, whereas stable coexistence prevails for longer times in spatially structured communities.

We anticipate that chaotic bioprinting will contribute to the development of a greater complexity of polybacterial microsystems, tissue-microbiota models, and biomanufactured materials.