2019 AIChE Annual Meeting
(109a) Transcriptional Biosensors That Discriminate between Radiation Sources
Authors
Transcriptomic profiling through mRNA sequencing analysis revealed unique responses of microorganisms after exposure to acute and chronic radionuclides representative of the nuclear fuel cycle. After quantitative PCR verification, genes with high abundance and overexpression were selected as candidates for biosensor development. Key differences in gene expression were seen in Pseudomonas putida, Escherichia coli, and Saccharomyces cerevisiaeafter acute and chronic exposure to plutonium-239, tritium, and iron-55 at a dose rate of 8.7 mGy/d. Substantial differences in differentially expressed genes were noted between acute and chronic exposures datasets indicating the potential presence of a radiation-induced time signature. Unique genes that were overexpressed only by a single radionuclide source were selected for toehold switch biosensor development, where selected transcripts trigger fluorescent protein translation from an otherwise repressed state. Future sensor development will include engineering circuits of switch sensors permitting detection of time dependent signals for individual radionuclide sources. In addition to developing passive and autonomous monitoring or clandestine activities, the results of this work will expand upon the limited knowledge of low dose radiation effects in microorganisms.