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.

DNA is a universal and programmable signal of living organisms. Here, the authors develop cell-based DNA sensors by engineering the naturally competent bacterium Bacillus subtilis to detect specific DNA sequences in the environment.

Details

Title
Programming bacteria for multiplexed DNA detection
Author
Cheng, Yu-Yu 1 ; Chen, Zhengyi 1   VIAFID ORCID Logo  ; Cao, Xinyun 1 ; Ross, Tyler D. 1 ; Falbel, Tanya G. 2 ; Burton, Briana M. 2   VIAFID ORCID Logo  ; Venturelli, Ophelia S. 3   VIAFID ORCID Logo 

 University of Wisconsin-Madison, Department of Biochemistry, Madison, USA (GRID:grid.14003.36) (ISNI:0000 0001 2167 3675) 
 University of Wisconsin-Madison, Department of Bacteriology, Madison, USA (GRID:grid.14003.36) (ISNI:0000 0001 2167 3675) 
 University of Wisconsin-Madison, Department of Biochemistry, Madison, USA (GRID:grid.14003.36) (ISNI:0000 0001 2167 3675); University of Wisconsin-Madison, Department of Bacteriology, Madison, USA (GRID:grid.14003.36) (ISNI:0000 0001 2167 3675); University of Wisconsin-Madison, Department of Chemical & Biological Engineering, Madison, USA (GRID:grid.14003.36) (ISNI:0000 0001 2167 3675) 
Pages
2001
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2798873554
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.