Programmed hierarchical patterning of bacterial populations

Christian R. Boehm, Paul K. Grant and Jim Haseloff ()
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Christian R. Boehm: University of Cambridge
Paul K. Grant: University of Cambridge
Jim Haseloff: University of Cambridge

Nature Communications, 2018, vol. 9, issue 1, 1-10

Abstract: Abstract Modern genetic tools allow the dissection and emulation of fundamental mechanisms shaping morphogenesis in multicellular organisms. Several synthetic genetic circuits for control of multicellular patterning have been reported to date. However, hierarchical induction of gene expression domains has received little attention from synthetic biologists, despite its importance in biological self-organization. Here we report a synthetic genetic system implementing population-based AND-logic for programmed autonomous induction of bacterial gene expression domains. We develop a ratiometric assay for bacteriophage T7 RNA polymerase activity and use it to systematically characterize different intact and split enzyme variants. We then utilize the best-performing variant to build a three-color patterning system responsive to two different homoserine lactones. We validate the AND gate-like behavior of this system both in cell suspension and in surface culture. Finally, we use the synthetic circuit in a membrane-based spatial assay to demonstrate programmed hierarchical patterning of gene expression across bacterial populations.

Date: 2018
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DOI: 10.1038/s41467-018-03069-3

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