Programming bacteria for multiplexed DNA detection

Yu-Yu Cheng, Zhengyi Chen, Xinyun Cao, Tyler D. Ross, Tanya G. Falbel, Briana M. Burton and Ophelia S. Venturelli ()
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Yu-Yu Cheng: University of Wisconsin-Madison
Zhengyi Chen: University of Wisconsin-Madison
Xinyun Cao: University of Wisconsin-Madison
Tyler D. Ross: University of Wisconsin-Madison
Tanya G. Falbel: University of Wisconsin-Madison
Briana M. Burton: University of Wisconsin-Madison
Ophelia S. Venturelli: University of Wisconsin-Madison

Nature Communications, 2023, vol. 14, issue 1, 1-11

Abstract: Abstract DNA is a universal and programmable signal of living organisms. Here we develop cell-based DNA sensors by engineering the naturally competent bacterium Bacillus subtilis (B. subtilis) to detect specific DNA sequences in the environment. The DNA sensor strains can identify diverse bacterial species including major human pathogens with high specificity. Multiplexed detection of genomic DNA from different species in complex samples can be achieved by coupling the sensing mechanism to orthogonal fluorescent reporters. We also demonstrate that the DNA sensors can detect the presence of species in the complex samples without requiring DNA extraction. The modularity of the living cell-based DNA-sensing mechanism and simple detection procedure could enable programmable DNA sensing for a wide range of applications.

Date: 2023
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DOI: 10.1038/s41467-023-37582-x

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