bioRxivBioengineeringPreprint
Micro-biogeography greatly matters for competition: Continuous chaotic bioprinting of spatially-controlled bacterial microcosms
Carlos Fernando Ceballos-Gonzalez, Edna Johana Bolivar-Monsalve, Diego Alonso Quevedo-Moreno, Li Lu Lam-Aguilar, Karen Ixchel Borrayo-Montano, Juan Felipe Yee-de Leon, Yu Shrike Zhang, Mario Moises Alvarez, Grissel Trujillo-de Santiago
Abstract
Cells 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, fine-scale bacterial microcosms are bioprinted using chaotic flows induced by a printhead containing a static mixer. This straightforward approach (i.e., continuous chaotic 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. Bacteria within these biological microsystems engage in either cooperation or competition, depending on the degree of shared interface. Remarkably, the extent of inhibition in predator-prey scenarios 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. Finally, the simultaneous extrusion of four inks is demonstrated, enabling the creation of higher complexity scenarios. Thus, chaotic bioprinting will contribute to the development of a greater complexity of polybacterial microsystems, tissue-microbiota models, and biomanufactured materials.
- organism: bacteria (other)
- research focus: cell type annotation
- research focus: cell-cell communication
- research focus: clustering
- research focus: spatial domain detection
- approach: experimental assay
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