Synthetic biology has led to advances in both our understanding and engineering of genetic circuits that affect spatial and temporal behaviors in living cells. A growing array of native and synthetic circuits such as oscillators， pattern generators， and cell-cell communication systems has been studied， which exhibit spatiotemporal properties. To better understand the design principles of these genetic circuits， there is a need for versatile and precise methods for patterning cell populations in various configurations. In this study， we develop a screen printing methodology to pattern bacteria on agar， glass， and paper surfaces. Initially， we tested three biocompatible resuspension media with app... More
Synthetic biology has led to advances in both our understanding and engineering of genetic circuits that affect spatial and temporal behaviors in living cells. A growing array of native and synthetic circuits such as oscillators， pattern generators， and cell-cell communication systems has been studied， which exhibit spatiotemporal properties. To better understand the design principles of these genetic circuits， there is a need for versatile and precise methods for patterning cell populations in various configurations. In this study， we develop a screen printing methodology to pattern bacteria on agar， glass， and paper surfaces. Initially， we tested three biocompatible resuspension media with appropriate rheological properties for screen printing. Using microscopy， we characterized the resolution and bleed of bacteria screen prints on agar and glass surfaces， obtaining resolutions as low as 188 μm. Next， we engineered bacterial strains producing visible chromoproteins analogous to the cyan， magenta， and yellow subtractive color system for the creation of multicolored bacteria images. Using this system， we printed distinct populations in overlapping or interlocking designs on both paper and agar substrates. These proof-of-principle experiments demonstrated how the screen printing method could be used to study microbial community interactions and pattern formation of biofilms at submillimeter length scales. Overall， our approach allows for rapid and precise prototyping of patterned bacteria species that will be useful in the understanding and engineering of spatiotemporal behaviors in microbial communities.
