Supporting data for "Genetic memory devices to detect specialized metabolites in plant and soil microbiomes"

In this study, we developed a catalogue of five orthogonal biosensors using genetic memory as output to allow for non-disruptive in situ spatiotemporal detection of biologically relevant specialized metabolites found in soil and rhizosphere environments. The biosensors were tuned and optimized in E. coli and shown to respond to nano- to micromolar concentrations of the five metabolites: DAPG, pyoluteorin, tetracycline, salicylic acid, and naringenin. The sensory and reporter units of four of the biosensors, except the naringenin sensor, were chromosomally integrated into the root-colonizing P. putida KT2440 Δall-Φ to enable long duration in situ experiments without requiring antibiotic selection. Lastly, we demonstrated that the four sensors, after a final optimization step, functioned in a non-sterile soil extract medium containing the diverse microbiome found in soil.The repository contains the following folders and files:ReadMe.txtPlasmid_mapsSESOM_species_table.xlsxSOIL_species_table.xlsxExplanation:The "ReadMe.txt" file can be downloaded along the folder and .xlsx files for description of the study and explanation of the files.The directory "Plasmid_maps" contains plasmid maps of cloned plasmids used in the present study in .gb format.The two .xlsx files contain data of four biological replicates describing the relative species abundance in SESOM and Soil used to construct Figure 3.C.